system

Abstract

Provide a system. A method for users to input their profile and art preferences; A way for artists to upload information about their works, Using a generative AI model, we can recommend the most suitable artworks based on the user's preferences and the artist's artwork information. A way for users to view recommended artworks, A means for users and artists to communicate through messages, A system including means for generating and displaying answers to user questions using a generative AI model.

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 today's art market, it is difficult for young artists to have their work widely recognized, and users have limited opportunities to encounter artworks that suit their tastes. Furthermore, there is often a lack of information and explanations that would allow users to gain a deeper understanding of the artworks. To solve these problems, a system that can effectively match artists and users is needed. [Means for solving the problem]

[0005] The present invention provides the following means to effectively match users with artists: Users enter their profile and art preferences on the platform, and artists upload information about their artworks. A generative AI model recommends the most suitable artworks based on the user's preferences and the artist's artwork information. Users can then view the recommended artworks and communicate with the artists through messages. Furthermore, the generative AI model can generate answers to users' questions and display them to the user, providing a deeper understanding of the artworks. This allows the work of emerging artists to be properly evaluated, increasing the users' opportunities to encounter artworks they like.

[0006] "User" refers to an individual who wishes to use the Art Matching Platform to find artworks that suit their tastes.

[0007] "Profile" means data containing basic personal information about you and information that describes your artistic preferences and interests.

[0008] "Art preferences" refers to the genres, themes, and styles of art that a user is particularly interested in.

[0009] "Artists" refer to creators who upload their artwork to the Platform and present it to users.

[0010] "Artwork Information" means data uploaded by an Artist, including images and descriptions of the Artwork, as well as information about the artist's creative intent and technique.

[0011] A "generative AI model" refers to an algorithm that uses machine learning technology to analyze user preferences and artist information to recommend appropriate artworks.

[0012] "Recommendation" refers to the act of a generative AI model selecting the most suitable artwork based on the user's preferences and presenting it to the user.

[0013] "Message" refers to the text information sent and received by users and artists to communicate on the Platform.

[0014] "Question" means an inquiry that a User submits through the Platform to seek information or deepen their understanding of an Artwork.

[0015] "Answer" refers to the explanation or information that a generative AI model provides based on a user's question. [Brief explanation of the drawings]

[0016] [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

[0017] 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.

[0018] First, the terms used in the following description will be explained.

[0019] 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).

[0020] 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.

[0021] 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.

[0022] 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.

[0023] 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."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form 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.

[0031] 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.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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."

[0037] The present invention provides a CtoC art matching platform that effectively matches users with artists. Specific embodiments of the present invention are described below.

[0038] User registration and profile creation

[0039] A user accesses the platform's website or app using a device. First, the user enters basic information (name, email address, password), and then enters their art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.). The device temporarily stores this data and displays an input confirmation screen to the user. When the user confirms the input and presses the confirm button, the device sends this information to the server. The server stores the received information in a database, generates a registration completion message, and sends it to the device. The device then displays a message to the user indicating registration is complete.

[0040] Artist registration and work upload

[0041] The artist uses a device to access the platform and open the artist registration page. They enter their profile (name, biography, etc.) and an image and description of their work. The device temporarily stores this information and displays an input confirmation screen to the artist. When the artist confirms the content and presses the confirm button, the device sends this information to the server. The server stores the received information in a database, generates a message stating that registration is complete, and sends it to the device. The device then displays a message to the artist indicating that registration is complete.

[0042] Matching with generative AI models

[0043] When a user accesses a homepage and performs an operation to generate a matching request, the device sends the user's preference data to the server. The server inputs the user's preference data and information about the artist's works stored in a database into a generative AI model. The generative AI model recommends the most suitable art work based on the user's preferences and returns the results to the server. The server stores the received recommendation results in a database and sends them to the device.

[0044] Displaying matching results

[0045] The device displays the recommendation results received from the server to the user, who can then browse the recommended artworks and select the ones that interest them.

[0046] Communication with artists

[0047] When a user enters a question or message about a selected artwork, the device sends the message to the server, which stores it and forwards it to the artist. When the artist responds, the server forwards the message to the user's device and displays it.

[0048] Commentary by generative AI model

[0049] The user enters a question about the artwork, and the device sends it to the server. The server then sends the question to the generative AI model, which generates an appropriate answer. The generated answer is then sent back to the server and sent to the device for display to the user. This allows the user to gain a deeper understanding of the artwork.

[0050] Specific examples

[0051] For example, if a user expresses an interest in "Japanese painting," they can access the platform and register their preferences for "Japanese painting" and "flower" motifs. If an artist uploads a Japanese painting with a cherry blossom theme, the generative AI model will recommend this work to the user based on their preferences. The user can view the work and, if interested, send a question such as, "What is the background to this painting?" The user will receive a reply from the artist and an explanation from the generative AI model, allowing them to gain a deeper understanding of the work.

[0052] The processing flow will be explained below.

[0053] User registration and profile creation

[0054] Step 1:

[0055] A user accesses the platform's website or app using a device.

[0056] Step 2:

[0057] The user enters their basic information (name, email address, password) and art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.). The device displays this information in an input form.

[0058] Step 3:

[0059] The user confirms the information entered and presses the confirm button. The device temporarily stores this information and sends it to the server.

[0060] Step 4:

[0061] The server validates the received information and stores it in a database.

[0062] Step 5:

[0063] The server generates a registration completion message and sends it to the terminal.

[0064] Step 6:

[0065] The device will display a message to the user confirming registration.

[0066] Artist registration and work upload

[0067] Step 1:

[0068] The artist uses the device to access the artist registration page on the platform.

[0069] Step 2:

[0070] The artist enters their profile (name, biography, etc.) and an image and description of their work. The device displays this information in an input form.

[0071] Step 3:

[0072] The artist checks the information entered and presses the confirm button. The device temporarily stores this information and sends it to the server.

[0073] Step 4:

[0074] The server validates the received information and stores it in a database.

[0075] Step 5:

[0076] The server generates a registration completion message and sends it to the terminal.

[0077] Step 6:

[0078] The device will display a message to the artist confirming registration.

[0079] Matching with generative AI models

[0080] Step 1:

[0081] The user accesses the homepage using the device and performs an operation to generate a matching request.

[0082] Step 2:

[0083] The device sends the user's preference data to the server.

[0084] Step 3:

[0085] The server receives user preference data and collects artist work information stored in a database.

[0086] Step 4:

[0087] The server inputs the user's preference data and artist's work information into the generated AI model.

[0088] Step 5:

[0089] The generative AI model recommends the most suitable artwork based on the user's preferences and sends the results back to the server.

[0090] Step 6:

[0091] The server stores the recommendation results in a database and sends them to the terminal.

[0092] Displaying matching results

[0093] Step 1:

[0094] The device displays the recommendation results received from the server to the user.

[0095] Step 2:

[0096] Users can browse the recommended artworks and select the ones that interest them.

[0097] Communication with artists

[0098] Step 1:

[0099] Users enter questions or messages about works that interest them.

[0100] Step 2:

[0101] The device sends questions or messages to the server.

[0102] Step 3:

[0103] The server stores the message and forwards it to the corresponding artist.

[0104] Step 4:

[0105] The artist receives the message through the terminal and types a response.

[0106] Step 5:

[0107] The server receives the response from the artist and sends it to the user's device.

[0108] Step 6:

[0109] The device displays a reply message from the artist to the user.

[0110] Commentary by generative AI model

[0111] Step 1:

[0112] The user enters a question about the work.

[0113] Step 2:

[0114] The device sends the question to the server.

[0115] Step 3:

[0116] The server inputs the question into a generative AI model.

[0117] Step 4:

[0118] The generative AI model generates an appropriate answer to the question and sends the result back to the server.

[0119] Step 5:

[0120] The server stores the generated answers in a database and sends them to the device.

[0121] Step 6:

[0122] The device displays the answer from the generated AI model to the user.

[0123] Example 1

[0124] 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."

[0125] Conventional art matching systems did not effectively match users with artists, making it difficult for users to find artworks that match their tastes and interests. Furthermore, communication between users and artists was not smooth, resulting in an inconsistent understanding of the artwork and the process of purchasing it. Furthermore, the lack of deep understanding and background information about the artwork led to low user satisfaction.

[0126] 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.

[0127] In this invention, the server includes: a means for a user to input basic information and art preferences and send the information to the server; a means for an artist to input a profile and artwork information and send the information to the server; a means for using a generative AI model to recommend the most suitable artwork based on the user's preferences and the artist's artwork information in the database; a means for the user to view the recommended artworks through a terminal; a means for the user to send questions and messages about the artwork selected by the user to the server and forward them from the server to the artist; a means for the artist to forward and display the reply message to the user via the server; and a means for using a generative AI model to generate answers to the user's questions and display the answers on the terminal. This makes it possible to recommend the most suitable artwork based on the user's preferences, and smooths communication between the user and the artist, improving understanding and satisfaction with the artwork and further facilitating the process leading up to purchase.

[0128] "User" means a user who uses the Art Matching Platform to search for and select artworks that suit his or her preferences.

[0129] "Artist" means a creator who uses the art matching platform to upload and showcase their artwork to users.

[0130] "Server" means a computer system that receives, processes, and stores data submitted by users and artists in a database.

[0131] "Device" means a device used by a User or Artist to access the Art Matching Platform, including a smartphone, tablet, PC, etc.

[0132] A "generative AI model" is an artificial intelligence model that recommends the most suitable artwork based on the user's preference data and artist artwork information in the database.

[0133] A "prompt sentence" is a specific input sentence for processing to be executed by a generative AI model, and includes a user question or request.

[0134] A "database" is a digital storage system for systematically storing and managing information about users, artists, and artworks.

[0135] "Recommendation" means that the generative AI model recommends the most suitable artwork based on the user's preferences.

[0136] "Message" means any written or textual communication between a User and an Artist through the Platform.

[0137] An "answer" is the response provided by a generative AI model to a user's question.

[0138] The present invention provides a system that provides a CtoC art matching platform that effectively matches users with artists. Specific embodiments of the system are described below.

[0139] User registration and profile creation

[0140] The user uses a device to access the art matching platform's website or app. The user enters their name, email address, password, and art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.). This information is temporarily stored on the device, and the user then confirms the content. When the user presses the confirm button, the device sends the information to the server. The server stores this information in a database, generates a registration completion message, and sends it again to the device. The device then displays this completion message to the user.

[0141] Artist registration and work upload

[0142] Artists access the platform using a device in the same way, and enter their profile (e.g., name, biography, etc.) and an image and description of their work. The entered information is temporarily saved on the device, and a confirmation screen is displayed. When the artist confirms the content and presses the confirm button, the device sends this information to the server. The information is saved in the database, and a message indicating registration is complete is returned to the device and displayed.

[0143] Matching with generative AI models

[0144] When a user accesses a homepage and generates a matching request, the device sends the user's preference data to the server. The server sends the preference data and information about the artist's works stored in a database to the generative AI model. The generative AI model recommends the most suitable artwork based on the user's preferences and sends the results back to the server. The server stores the recommendation results in a database and sends them to the device.

[0145] Displaying matching results

[0146] The device displays the recommendation results received from the server to the user, who can then browse the recommended artworks and select the ones that interest them.

[0147] Communication with artists

[0148] When a user enters a question or message about a selected artwork, the device sends the message to the server, which stores it and forwards it to the artist. When the artist responds, the server forwards the message to the user's device and displays it.

[0149] Commentary by generative AI model

[0150] The user enters a question about the artwork, and the device sends the question to the server. The server then sends the question to a generative AI model, which generates an appropriate answer. The generated answer is then sent back to the server, sent to the device, and displayed to the user. This allows the user to gain a deeper understanding of the artwork.

[0151] Specific examples

[0152] For example, if a user is interested in "Japanese painting," they can access the platform and register their preferences for "Japanese painting" and "flower" motifs. If an artist uploads a Japanese painting with a cherry blossom theme, the generative AI model will recommend this work to the user based on their preferences. If the user views the work and becomes interested, they can send a question such as, "What is the background to this painting?" The user will receive a reply from the artist and an explanation from the generative AI model, allowing them to gain a deeper understanding of the work.

[0153] Example prompt sentence:

[0154] What is the background to this painting?

[0155] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0156] Step 1: Register and create your profile

[0157] 1.1 A user accesses a website or app using a device. Input: The device's browser or app. Output: A user registration screen. Specific behavior: The web page or app loads and displays a user registration form.

[0158] 1.2 User enters name, email address, password, and art preferences. Input: User's personal information and art preferences. Output: Data temporarily stored on device. What happens: User enters required information into a form and clicks submit.

[0159] 1.3 The device temporarily stores the entered information and displays a confirmation screen for the user. Input: Data entered by the user. Output: Input confirmation screen. Specific operation: The device stores the entered information in temporary storage and displays a confirmation screen.

[0160] 1.4 The user confirms the input and presses the confirm button. Input: Confirmed user information. Output: Data to be sent to the server. Specific operation: The user presses the confirm button and the device sends the data to the server.

[0161] 1.5 The device sends information to the server. Input: User information. Output: Data stored on the server. Specific operation: The device sends data to the server via the Internet.

[0162] 1.6 The server saves the information in the database, generates a registration completion message, and sends it to the terminal. Input: User information. Output: Registration completion message. Specific operation: The server saves the data in the database, generates a completion message, and sends it.

[0163] 1.7 The terminal displays a message to the user indicating that registration is complete. Input: Registration completion message. Output: Notification to the user that registration is complete. Specific operation: The terminal displays the received message to the user.

[0164] Step 2: Register as an artist and upload your work

[0165] 2.1 The artist accesses the platform using a device. Input: Browser or app on the device. Output: Artist registration screen. Specific operation: The artist opens a browser or app and goes to the registration screen.

[0166] 2.2 The artist enters their profile, artwork image, and description. Input: Artist's personal information and artwork information. Output: Data temporarily stored on the device. Specific operation: The artist enters the required information into the form and uploads artwork image and description.

[0167] 2.3 The device temporarily stores the information and displays an input confirmation screen to the artist. Input: Data entered by the artist. Output: Input confirmation screen. Specific operation: The device stores the input information in temporary storage and displays a confirmation screen.

[0168] 2.4 The artist confirms the content and presses the confirm button. Input: Confirmed artist information and work information. Output: Data to be sent to the server. Specific operation: The artist presses the confirm button and the device sends the data to the server.

[0169] 2.5 The device sends information to the server. Input: Artist information. Output: Data stored on the server. Specific operation: The device sends data to the server via the Internet.

[0170] 2.6 The server saves the information in the database, generates a registration completion message, and sends it to the terminal. Input: Artist information. Output: Registration completion message. Specific operation: The server saves the data in the database, generates a completion message, and sends it.

[0171] 2.7 The device displays a message to the artist indicating that registration is complete. Input: Registration completion message. Output: Notification of registration completion to the artist. Specific operation: The device displays the message received to the artist.

[0172] Step 3: Matching with a generative AI model

[0173] 3.1 A user accesses the homepage and performs an operation to generate a matching request. Input: User request. Output: Request data. Specific operation: The user clicks the request button on the homepage.

[0174] 3.2 The terminal sends the user's preference data to the server. Input: User's preference data. Output: Data sent to the server. Specific operation: The terminal sends the preference data to the server.

[0175] 3.3 The server inputs the user's preference data and artist work information stored in the database into the generative AI model. Input: User's preference data and artist work information. Output: Input data to the generative AI model. Specific operation: The server formats this data and sends it to the generative AI model.

[0176] 3.4 The generative AI model recommends the most suitable artwork based on the user's preferences. Input: Preference data and artwork information. Output: Recommendation results. Specific operation: The generative AI model uses an algorithm to identify the most suitable artwork.

[0177] 3.5 The generative AI model returns the recommendation results to the server. Input: Recommendation results. Output: Data to the server. Specific operation: The generative AI model returns the calculation results to the server.

[0178] 3.6 The server saves the recommendation results in a database and sends them to the terminal. Input: Recommendation results. Output: Data to the user terminal. Specific operation: The server saves the results in a database and sends them to the user terminal.

[0179] Step 4: Viewing the matching results

[0180] 4.1 The device displays the recommendation results received from the server to the user. Input: Recommendation results. Output: Data displayed to the user. Specific operation: The device receives the data and displays it on the screen.

[0181] 4.2 The user browses the recommended artworks and selects the artworks that interest them. Input: Display of artwork. Output: Data of selected artwork. Specific operation: The user clicks on the artwork to select it.

[0182] Step 5: Communicate with the artist

[0183] 5.1 The user enters a question or message about the selected artwork. Input: User's message. Output: Message data. Specific behavior: The user enters information into the text input field.

[0184] 5.2 The terminal sends the contents to the server. Input: Message data. Output: Data sent to the server. Specific operation: The terminal sends a message to the server.

[0185] 5.3 The server saves the message and forwards it to the corresponding artist. Input: Message data. Output: Data to be forwarded to the artist. Specific operation: The server saves the message and forwards it to the corresponding artist's device.

[0186] 5.4 When the artist replies, the server transfers the content to the user's device and displays it. Input: Artist's reply. Output: Data displayed to the user. Specific operation: The artist replies, and the server transfers the data.

[0187] Step 6: Explanation by generative AI model

[0188] 6.1 The user enters a question about the work. Input: Question content. Output: Question data. Specific behavior: The user enters a question in the text field.

[0189] 6.2 The device sends the question to the server. Input: Question data. Output: Data sent to the server. Specific operation: The device sends the question data to the server.

[0190] 6.3 The server sends the question to the generative AI model. Input: Question data. Output: Input data to the generative AI model. Specific operation: The server sends the question to the AI ​​model.

[0191] 6.4 The generative AI model generates an appropriate answer and returns it to the server. Input: Question data. Output: Answer content. Specific operation: The generative AI model analyzes the question and generates an answer.

[0192] 6.5 The server sends the generated answer to the terminal and displays it to the user. Input: Answer content. Output: Data to be displayed to the user. Specific operation: The server receives the answer, sends it to the terminal and displays it.

[0193] (Application example 1)

[0194] 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."

[0195] Conventional art matching platforms make it difficult for users to view artworks in physical spaces such as their homes and obtain detailed information about them. They also have limited methods for recommending the most suitable artworks to users in real time. Furthermore, answers to questions about artworks may not be provided quickly, resulting in low user satisfaction. To solve these problems, a system that allows users to have a more interactive and fulfilling art experience is needed.

[0196] 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.

[0197] In this invention, the server includes: a means for a user to input a profile and art preferences; a means for an artist to upload artwork information; a means for using a generative AI model to recommend optimal artworks based on the user's preferences and the artist's artwork information; a means for the user to view the recommended artworks; a means for the user and the artist to communicate through messages; a means for using a generative AI model to generate and display answers to the user's questions; and a means for installing an application for smart glasses that allows the user to view artworks in a virtual environment. This allows the user to experience optimal artworks in a virtual environment in real time and quickly receive detailed explanations and interact with the artist.

[0198] "User" refers to ordinary consumers who use the art matching platform to view, purchase, and appreciate artworks.

[0199] "Artist" refers to a creator who uploads their own work to the art matching platform and sells or exhibits it to users.

[0200] "Profile" refers to the collection of personal information that a user creates by entering basic information about themselves and their artistic preferences.

[0201] "Art preferences" refers to information that indicates the types, styles, motifs, etc. of artworks that a user prefers.

[0202] "Artwork information" refers to information such as images, descriptions, and categories of artworks uploaded by artists.

[0203] A "generative AI model" is a machine learning model that uses artificial intelligence to recommend the most suitable artworks or generate answers based on user preferences and questions.

[0204] "Recommendation" refers to the act of using a generative AI model to recommend the most suitable artwork based on the user's preferences.

[0205] A "virtual environment" is a virtual space generated by computer technology that users can experience through devices such as smart glasses.

[0206] "Smart glasses" refers to a wearable device that allows users to experience virtual and augmented reality environments.

[0207] "Application" refers to a software program that provides a specific function or service, and in this invention refers to a program for the platform that is installed on the smart glasses.

[0208] The following describes an embodiment of the present invention: The system consists of a terminal used by a user, a terminal used by an artist, a server containing a database, a generative AI model, and smart glasses for experiencing the virtual environment.

[0209] User registration and profile creation

[0210] When a user accesses the platform using a device, they enter basic information (name, email address, password) and their art preferences (e.g., Japanese painting, abstract painting, etc.). This information is temporarily stored on the device, and a confirmation screen is displayed. Once the user confirms the information and presses the confirm button, the information is sent to the server and stored in the database.

[0211] Artist registration and work upload

[0212] Artists access the platform using their devices and enter their profile (name, biography, etc.) and an image and description of their work. This information is temporarily stored on the device, and a confirmation screen is displayed. Once the artist confirms the information and presses the confirm button, the information is sent to the server and saved in the database.

[0213] Matching with generative AI models

[0214] When a user accesses a homepage and generates a matching request, the device sends the user's preference data to the server. The server inputs the user's preference data and artist artwork information stored in a database into a generative AI model. The generative AI model generates a recommendation result for the most suitable artwork based on the user's preferences and returns it to the server. The recommendation result is stored in a database by the server and sent to the device.

[0215] Displaying matching results

[0216] The device receives recommendations from the server and displays them to the user. The user can then browse the recommended artworks and select the ones they are interested in. Using the smart glasses, the user can experience the artworks in a realistic virtual environment.

[0217] Communication with artists

[0218] When a user types a question or message about a selected artwork, the device sends it to the server, which stores the message and forwards it to the artist. When the artist responds, the server forwards the reply to the user's device and displays it.

[0219] Commentary by generative AI model

[0220] The user enters a question about the artwork, and the device sends it to the server. The server then sends the question to the generative AI model, which generates an appropriate answer. The generated answer is then sent back to the server and sent to the device for display to the user, allowing the user to gain a deeper understanding of the artwork.

[0221] Specific examples

[0222] For example, if a user expresses an interest in "Japanese painting," they can access the platform and register their preferences for "Japanese painting" and "floral motifs." If an artist uploads a Japanese painting with a cherry blossom theme, the generative AI model will recommend this work based on the user's preferences. The user can view this work in a virtual environment using smart glasses and send a question such as, "What is the background of this painting?"

[0223] Prompt Sentence Examples

[0224] 1. Recommendations based on user preferences:

[0225] Users are interested in "Japanese paintings" and "floral motifs." We recommend the most suitable artworks.

[0226] 2. Artwork Questions and Answers:

[0227] Artwork ID 101 Question: "What is the background to this piece?" Please explain.

[0228] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0229] Step 1:

[0230] A user accesses the platform using a device and enters basic information (name, email address, password) and art preferences. This input data is temporarily stored on the device, and an input confirmation screen is displayed. When the user confirms the content and presses the confirm button, the device sends this information to the server. The server stores the received information in a database, generates a message indicating registration is complete, and sends it to the device. The device then displays a message indicating registration is complete to the user.

[0231] Step 2:

[0232] Artists access the platform using a terminal and enter their profile and work information (images and descriptions). This input data is temporarily stored on the terminal, and an input confirmation screen is displayed. When the artist confirms the content and presses the confirm button, the terminal sends this information to the server. The server stores the received information in a database, generates a message indicating registration is complete, and sends it to the terminal. The terminal then displays a message indicating registration is complete to the artist.

[0233] Step 3:

[0234] A user accesses a homepage and generates a matching request. The device sends the user's preference data to the server. The server retrieves the user's preference data and information about the artist's works stored in a database and inputs this into the generative AI model. The generative AI model recommends the most suitable artwork based on the user's preferences and returns the results to the server. The server stores the received recommendation results in a database and sends them to the device. The device displays the recommendation results to the user. Input: User's preference data and information about the artist's works. Output: Recommendation results. Data processing: Recommendation processing by the generative AI model.

[0235] Step 4:

[0236] The user selects a recommended artwork and views it in a virtual environment using the smart glasses. The device transfers the recommendation results received from the server to the smart glasses, and the user experiences the artwork in the virtual environment. Input: Recommendation results. Output: Display of artwork in the virtual environment. Data processing: Data transfer to the smart glasses.

[0237] Step 5:

[0238] The user inputs a question or message about the artwork. The device sends the content to the server. The server saves the message and forwards it to the appropriate artist. When the artist replies, the server forwards the content to the user's device and displays it. Input: Question or message content. Output: Reply from the artist. Data processing: Message forwarding process.

[0239] Step 6:

[0240] The user enters a question about the work, and the device sends the content to the server. The server sends the question content to the generative AI model, which generates an appropriate answer. The generated answer is sent back to the server, then sent to the device and displayed to the user. Input: Question content. Output: Answer generated by the generative AI model. Data processing: Answer generation by the generative AI model.

[0241] 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.

[0242] The present invention provides a CtoC art matching platform that effectively matches users with artists, and a system that combines an emotion engine that recognizes user emotions. Specific embodiments of the present invention are described below.

[0243] User registration and profile creation

[0244] A user accesses the platform's website or app using a device. First, the user enters basic information (name, email address, password) and then enters their art preferences (e.g., Japanese painting, abstract art, floral motifs, etc.). The device displays this data in an input form and temporarily stores it. When the user confirms the information entered and presses the confirm button, the device sends this information to the server. The server verifies the received information and stores it in a database. The server generates a message indicating registration is complete and sends it to the device. The device then displays a message indicating registration is complete to the user.

[0245] Artist registration and work upload

[0246] The artist uses a terminal to access the platform and open the artist registration page. They enter their profile (name, biography, etc.) and an image and description of their work. The terminal displays this information in an input form and temporarily stores it. When the artist confirms the information they entered and presses the confirm button, the terminal sends this information to the server. The server verifies the received information and stores it in a database. The server generates a message indicating registration is complete and sends it to the terminal. The terminal displays a message indicating registration is complete to the artist.

[0247] Matching with generative AI models

[0248] When a user accesses a homepage and performs an operation to generate a matching request, the device sends the user's preference data to the server. The server inputs the user's preference data and information about the artist's works stored in a database into a generative AI model. The generative AI model recommends the most suitable art piece based on the user's preferences and returns the results to the server. The server stores the recommendation results in a database and sends them to the device.

[0249] Displaying matching results

[0250] The device displays the recommendations received from the server to the user, who can then browse the recommended artworks and select the ones that interest them.

[0251] Communication with artists

[0252] When a user enters a question or message about a selected artwork, the device sends the message to the server, which stores it and forwards it to the artist. When the artist responds, the server forwards the message to the user's device and displays it.

[0253] Commentary by generative AI model

[0254] The user enters a question about the artwork, and the device sends it to the server. The server then sends the question to the generative AI model, which generates an appropriate answer. The generated answer is then sent back to the server and sent to the device for display to the user. This allows the user to gain a deeper understanding of the artwork.

[0255] Introducing the Emotion Engine

[0256] By combining the emotion engine, the system can analyze the user's facial expressions and behavior data and recognize the user's emotions in real time. Specific embodiments of this will be described below.

[0257] Enhanced matching with emotion engine

[0258] The emotion engine analyzes the user's emotions and feeds the results back to the generative AI model, which then takes this emotional data into account to make more accurate art recommendations. For example, if a user expresses joy while viewing an artwork, the emotion engine collects that data and the generative AI model recommends other artworks that may elicit a similar emotion.

[0259] Personalization with Emotional Data

[0260] The emotion engine uses the user's emotional data to personalize the user's browsing experience. For example, if the user shows an interested expression while browsing, the system will provide more information and works related to that work.

[0261] Real-time analysis and response adjustment

[0262] The emotion engine analyzes the user's emotions in real time, and the generative AI model adjusts the answer and explanation based on the analysis results. For example, if the user shows confusion in response to a question, the system will generate a simpler explanation and provide it to the user.

[0263] Specific examples

[0264] For example, if a user expresses an interest in "Japanese painting," they can access the platform and register their preferences for "Japanese painting" and "flower" motifs. If an artist uploads a Japanese painting with a cherry blossom theme, the generative AI model will recommend this work to the user based on their preferences. If the user shows a happy expression while viewing a work, the emotion engine will collect that information and the generative AI model will recommend more related works. If the user sends a question about a work, such as "What is the background to this painting?", the generative AI model will generate an appropriate answer to the question and present it to the user. If the user shows a confused expression in response to the answer, the emotion engine will analyze that information, and the generative AI model will be able to generate and provide a simpler, more understandable answer.

[0265] In this way, the present invention provides a system that allows users and artists to seamlessly communicate and enjoy artworks with the support of generative AI models and emotion engines.

[0266] The processing flow will be explained below.

[0267] Processing steps of a system that combines an emotion engine and a generative AI model

[0268] User registration and profile creation

[0269] Step 1:

[0270] A user accesses the platform's website or app using a device.

[0271] Step 2:

[0272] The user enters their basic information (name, email address, password) and art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.). The device displays this information in an input form.

[0273] Step 3:

[0274] The user confirms the information entered and presses the confirm button. The device temporarily stores this information and sends it to the server.

[0275] Step 4:

[0276] The server validates the received information and stores it in a database.

[0277] Step 5:

[0278] The server generates a registration completion message and sends it to the terminal.

[0279] Step 6:

[0280] The device will display a message to the user confirming registration.

[0281] Artist registration and work upload

[0282] Step 1:

[0283] The artist uses the device to access the artist registration page on the platform.

[0284] Step 2:

[0285] The artist enters their profile (name, biography, etc.) and an image and description of their work. The device displays this information in an input form.

[0286] Step 3:

[0287] The artist checks the information entered and presses the confirm button. The device temporarily stores this information and sends it to the server.

[0288] Step 4:

[0289] The server validates the received information and stores it in a database.

[0290] Step 5:

[0291] The server generates a registration completion message and sends it to the terminal.

[0292] Step 6:

[0293] The device will display a message to the artist confirming registration.

[0294] Matching with generative AI models

[0295] Step 1:

[0296] The user accesses the homepage using the device and performs an operation to generate a matching request.

[0297] Step 2:

[0298] The device sends the user's preference data to the server.

[0299] Step 3:

[0300] The server receives user preference data and collects artist work information stored in a database.

[0301] Step 4:

[0302] The server inputs the user's preference data and artist's work information into the generated AI model.

[0303] Step 5:

[0304] The generative AI model recommends the most suitable artwork based on the user's preferences and sends the results back to the server.

[0305] Step 6:

[0306] The server stores the recommendation results in a database and sends them to the terminal.

[0307] Displaying matching results

[0308] Step 1:

[0309] The device displays the recommendation results received from the server to the user.

[0310] Step 2:

[0311] Users can browse the recommended artworks and select the ones that interest them.

[0312] Emotion recognition and new recommendations using an emotion engine

[0313] Step 1:

[0314] The emotion engine analyzes the user's facial expressions and behaviors related to the artwork they are viewing, and the device collects data from the user's camera and microphone.

[0315] Step 2:

[0316] The emotion engine analyzes the user's emotions (e.g., joy, interest, confusion, etc.) and sends the results to the server.

[0317] Step 3:

[0318] The server inputs the received emotional data into a generative AI model to generate new recommendations.

[0319] Step 4:

[0320] The generative AI model recommends new artworks based on the emotional data and sends the results back to the server.

[0321] Step 5:

[0322] The server sends new recommendation results to the device and displays them to the user.

[0323] Communication with artists

[0324] Step 1:

[0325] Users enter questions or messages about works that interest them.

[0326] Step 2:

[0327] The device sends questions or messages to the server.

[0328] Step 3:

[0329] The server stores the message and forwards it to the corresponding artist.

[0330] Step 4:

[0331] The artist receives the message through the terminal and types a response.

[0332] Step 5:

[0333] The server receives the response from the artist and sends it to the user's device.

[0334] Step 6:

[0335] The device displays a reply message from the artist to the user.

[0336] Generative AI model provides commentary

[0337] Step 1:

[0338] The user enters a question about the work.

[0339] Step 2:

[0340] The device sends the question to the server.

[0341] Step 3:

[0342] The server inputs the question into a generative AI model.

[0343] Step 4:

[0344] The generative AI model generates an appropriate answer to the question and sends the result back to the server.

[0345] Step 5:

[0346] The server stores the generated answers in a database and sends them to the device.

[0347] Step 6:

[0348] The device displays the answer from the generated AI model to the user.

[0349] Adjusting answers with an emotion engine

[0350] Step 1:

[0351] The emotion engine analyzes the emotions users express in response to their answers (e.g., confusion, understanding, interest, etc.).

[0352] Step 2:

[0353] The emotion engine sends the analysis results to the server.

[0354] Step 3:

[0355] The server inputs emotional data into the generative AI model and adjusts the content of the answer.

[0356] Step 4:

[0357] The generative AI model generates an adjusted answer and sends the result back to the server.

[0358] Step 5:

[0359] The server sends the adjusted answer to the device and displays it to the user.

[0360] This allows users and artists to seamlessly communicate and enjoy artworks with the support of generative AI models and emotion engines.

[0361] Example 2

[0362] 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."

[0363] Previous art matching platforms simply matched user preferences and artist artwork information, making it difficult to optimally match artists by taking into account their emotions and real-time reactions. Furthermore, they lacked the means to provide appropriate and in-depth explanations for questions users had about artworks, limiting communication between artists and users. There is a need to address these issues and improve the user experience.

[0364] 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.

[0365] In this invention, the server includes a means for a user to input their profile and art preferences, a means for an artist to upload artwork information, a means for using a generative AI model to recommend optimal artworks based on the user's preferences and the artist's artwork information, a means for analyzing the user's emotions using an emotion engine and feeding that data back to the generative AI model, and a means for using the generative AI model to generate and display answers to the user's questions. This makes it possible to match optimal artworks taking into account the user's emotions and real-time reactions, and allows the user to enjoy the artworks with a deeper understanding and to communicate smoothly with the artists.

[0366] "Profile" refers to personal information such as basic information, background, and interests of a user or artist.

[0367] "Art preferences" refers to information that indicates a user's preferred art genres, styles, and themes.

[0368] "Work information" refers to information such as images and descriptions of works uploaded by artists.

[0369] A "generative AI model" refers to an artificial intelligence model that recommends the most suitable artwork based on a user's preferences and emotional data.

[0370] "Recommendation" refers to suggesting the most suitable artwork based on the user's preferences and tendencies.

[0371] An "emotion engine" refers to a software and hardware mechanism that analyzes a user's facial expressions and behavioral data and recognizes emotions in real time.

[0372] "Communication" refers to interactions between users and artists through messages.

[0373] "Answer" refers to the appropriate response or explanation provided by a generative AI model in response to a user's question.

[0374] The present invention is a CtoC art matching platform that effectively matches users with artists, and is a system that combines an emotion engine that recognizes user emotions. Specific embodiments of the present invention will be described below.

[0375] User registration and profile creation

[0376] A user accesses the platform's website or app using a device. They enter basic information such as name, email address, password, and art preferences. After the user confirms the information and presses the confirm button, the device sends this information to the server. The server verifies the information and stores it in a database. The server generates a registration completion message and sends it to the device. The device displays a message to the user indicating registration is complete.

[0377] Artist registration and work upload

[0378] The artist uses a device to access the platform and open the artist registration page. They enter their profile (name, biography, etc.) and an image and description of their work. When the artist confirms the information they entered and presses the confirm button, the device sends this information to the server. The server verifies the received information and stores it in a database. The server generates a message indicating registration is complete and sends it to the device. The device displays a message indicating registration is complete to the artist.

[0379] Matching with generative AI models

[0380] When a user accesses a homepage and performs an operation to generate a matching request, the device sends the user's preference data to the server. The server inputs the user's preference data and information about the artist's works stored in a database into the generative AI model. For example, information such as "Japanese painting, cherry blossoms, flowers" is input as a prompt. The generative AI model recommends the most suitable art work based on the user's preferences and returns the results to the server. The server stores the recommendation results in a database and sends them to the device.

[0381] Displaying matching results

[0382] The device displays the recommendations received from the server to the user, who can then browse the recommended artworks and select the ones that interest them.

[0383] Communication with artists

[0384] When a user enters a question or message about a selected artwork, the device sends the message to the server, which stores it and forwards it to the artist. When the artist responds, the server forwards the message to the user's device and displays it.

[0385] Commentary by generative AI model

[0386] The user enters a question about the artwork, and the device sends it to the server. The server then sends the question to the generative AI model, which generates an appropriate answer. The generated answer is then sent back to the server and sent to the device for display to the user, allowing the user to gain a deeper understanding of the artwork.

[0387] Introducing the Emotion Engine

[0388] By combining it with an emotion engine, the system can analyze the user's facial expressions and behavioral data and recognize the user's emotions in real time.

[0389] Enhanced matching with emotion engine

[0390] The emotion engine analyzes the user's emotions and feeds the results back to the generative AI model, which then takes this emotional data into account to make more accurate art recommendations. For example, if a user expresses joy while viewing an artwork, the emotion engine will collect that data and the generative AI model will recommend other artworks that may elicit a similar emotion.

[0391] Personalization with Emotional Data

[0392] The emotion engine uses the user's emotional data to personalize the browsing experience. For example, if the user shows an interested expression while browsing, the system will provide more information and works related to that work.

[0393] Real-time analysis and response adjustment

[0394] The emotion engine analyzes the user's emotions in real time, and the generative AI model adjusts the answer and explanation based on the analysis results. For example, if the user shows confusion in response to a question, the system will generate a simpler explanation and provide it to the user.

[0395] The system allows users and artists to seamlessly communicate and enjoy artwork, supported by generative AI models and emotion engines.

[0396] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0397] System program processing flow

[0398] Step 1: Register and create your profile

[0399] Processing flow

[0400] 1. Input: The user enters their name, email address, password, and art preferences into the device.

[0401] 2. Operation: The device temporarily stores the entered information in memory and displays a confirmation screen.

[0402] 3. Processing:

[0403] After the user confirms the data, he / she presses the confirm button, and the terminal sends the data to the server.

[0404] The server receives the information and validates its format and content.

[0405] 4. Output: After verification, the server saves the user data in the database and generates a registration completion message.

[0406] 5. Operation: A registration completion message is displayed on the device and the user confirms completion.

[0407] Step 2: Register as an artist and upload your work

[0408] Processing flow

[0409] 1. Input: Artists input their profile information, images and descriptions of their work into the terminal.

[0410] 2. Operation: The device temporarily stores the entered information in memory and displays a confirmation screen.

[0411] 3. Processing:

[0412] After the artist confirms, they press the confirm button and the device sends the data to the server.

[0413] The server receives the information and validates its format and content.

[0414] 4. Output: After verification, the server saves the artist data and work information in the database and generates a registration completion message.

[0415] 5. Operation: A registration completion message is displayed on the device and the artist confirms completion.

[0416] Step 3: Matching with a generative AI model

[0417] Processing flow

[0418] 1. Input: The user uses their device to generate a matching request and send art preference data to the server.

[0419] 2. How it works: The server receives the preference data, combines it with information about the artist's work stored in a database, and inputs it into a generative AI model.

[0420] 3. Processing:

[0421] The server inputs prompt sentences such as "Japanese painting, cherry blossoms, flowers" into the generative AI model.

[0422] A generative AI model analyzes the data and recommends the most suitable artwork.

[0423] 4. Output: The server receives the recommendation results from the generative AI model and stores them in a database.

[0424] 5. Operation: The server sends the recommendation results to the terminal and displays them to the user.

[0425] Step 4: Viewing the matching results

[0426] Processing flow

[0427] 1. Input: Recommendation result data from the server.

[0428] 2. Operation: The device displays the recommendation results received from the server to the user.

[0429] 3. Processing:

[0430] The user browses the recommended artworks.

[0431] The user selects the work that interests them.

[0432] 4. Output: Data of selected artworks.

[0433] 5. Action: The user interface displays the selected work.

[0434] Step 5: Communicate with the artist

[0435] Processing flow

[0436] 1. Input: The user types a question or message about the selected work into the terminal.

[0437] 2. Operation: The terminal sends the entered message to the server.

[0438] 3. Processing:

[0439] The server stores the message and forwards it to the appropriate artist.

[0440] The server receives the artist's reply again and forwards it to the user.

[0441] 4. Output: Reply message from the artist.

[0442] 5. Action: A reply message appears on the device and the user confirms it.

[0443] Step 6: Explanation by generative AI model

[0444] Processing flow

[0445] 1. Input: User questions about the work.

[0446] 2. Operation: The device sends the question to the server.

[0447] 3. Processing:

[0448] The server sends the question to the generative AI model.

[0449] The generative AI model analyzes the question and generates an appropriate answer.

[0450] 4. Output: The answer from the generative AI model.

[0451] 5. Action: The answer is sent to the device and displayed to the user.

[0452] Step 7: Implementing the Emotion Engine

[0453] Processing flow

[0454] 1. Input: User facial and behavioral data.

[0455] 2. Action: The device sends this data to the emotion engine.

[0456] 3. Processing:

[0457] The emotion engine analyzes the data and recognizes the user's emotional state in real time.

[0458] The emotion engine feeds the analysis results back to the generative AI model.

[0459] 4. Output: Analysis results based on emotion data.

[0460] 5. How it works: The generative AI model adjusts recommendations and answers based on the emotional data and sends them to the device.

[0461] In this way, the system leverages generative AI models and emotion engines between users and artists to provide seamless communication and a personalized art viewing experience.

[0462] (Application example 2)

[0463] 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."

[0464] While previous art matching platforms made recommendations that took user preferences into account, they lacked personalization based on user emotions, making it difficult to provide the most suitable artworks. Furthermore, they lacked mechanisms for facilitating communication between users and artists and providing appropriate answers to user questions. Furthermore, there was no method for analyzing user emotions in real time and dynamically changing content based on those emotions. This resulted in a poor quality of experience for users.

[0465] 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.

[0466] In this invention, the server includes: a means for a user to input their profile and art preferences; a means for an artist to upload artwork information; a means for using a generative AI model to recommend optimal artworks based on the user's preferences and the artist's artwork information; a means for the user to view the recommended artworks; a means for the user and the artist to communicate through messages; a means for generating and displaying answers to user questions using a generative AI model; a means for analyzing the user's emotions in real time using an emotion analysis engine and feeding the results back to the generative AI model; and a means for further personalizing recommendations based on the user's emotion data. This enables personalized recommendations of optimal artworks based on the user's emotions, facilitates communication between the user and the artist, and makes it possible to provide appropriate answers to user questions in real time.

[0467] "User" means an individual who uses the Art Matching Platform and is interested in, evaluates, or purchases artworks.

[0468] "Artist" means a creator who creates artworks and registers them on the art matching platform to offer them.

[0469] A "profile" is the basic information that users and artists enter when registering on an art matching platform, including information such as their name, background, and preferences.

[0470] "Preferences" means information indicating your preferences and interests regarding artworks that you indicate when registering with the art matching platform.

[0471] "Artwork Information" means data about artworks uploaded by artists to the art matching platform, including images and descriptions.

[0472] A "generative AI model" is a model that uses artificial intelligence technology to recommend the most suitable artwork based on the user's preferences and information about the artist's work.

[0473] "Recommendation" refers to the act of using a generative AI model to recommend the most suitable artwork based on the user's preferences and emotions.

[0474] An "emotion analysis engine" is a system that analyzes a user's facial expressions and behavior and collects emotional data in real time.

[0475] "Real-time" refers to the time when a user receives an immediate response without delay when using the art matching platform.

[0476] "Personalization" refers to the individual customization of artworks and information provided based on the user's individual preferences and emotional data.

[0477] "Communication" refers to the act of users and artists exchanging information with each other through messages and questions.

[0478] An "answer" is the information or explanation generated and provided by a generative AI model in response to a user's question.

[0479] The "system" refers to the entire art matching platform that effectively matches users and artists.

[0480] The system of the present invention includes the following means for effectively matching users with artists.

[0481] User registration and profile creation

[0482] When a user accesses the art matching platform's website or app using their device, they first enter basic information (name, email address, password) and art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.). This information is temporarily stored on the device and, after confirmation, is sent to the server. The server verifies the information, stores it in a database, and sends a message to the user's device confirming registration.

[0483] Artist registration and work upload

[0484] The artist accesses the platform using their device and opens the registration page. They enter their profile (name, biography, etc.) and an image and description of their artwork. This information is temporarily stored on the device and then sent to the server after verification. The server verifies the information, stores it in a database, and sends a message to the artist confirming their registration.

[0485] Introducing a sentiment analysis engine

[0486] As users browse artworks, the device's camera captures their facial expressions, and the emotion analysis engine analyzes the emotional data in real time. This emotional data is then sent to a server and fed back to a generative AI model, enabling personalized recommendations based on the user's emotions.

[0487] Recommendations and Personalization

[0488] The server uses a generative AI model to recommend the most suitable artwork based on the user's preference and emotional data. The recommendation results are sent to the user's device, where the user can view and select. If the user expresses interest in a particular artwork, the generative AI model will provide a detailed description of that artwork.

[0489] Communication and Answer Generation

[0490] When a user inputs a question for an artist, the message is forwarded to the artist via the server. The artist's reply is then displayed on the user's device. The generative AI model also generates an answer to the user's question and displays it on the device.

[0491] System program and processing details

[0492] The system uses Python programming, the image processing library OpenCV, emotion analysis software EmotionEngine, and generative AI models to recommend the most suitable artworks based on the user's emotional and preference data, and to personalize the user experience by analyzing and providing feedback on emotions in real time.

[0493] Specific prompt examples

[0494] Generate the best algorithm to recommend the right artworks based on the user's art preferences and real-time sentiment data.

[0495] Train a model to analyze emotions from user facial expressions using the following datasets: Facial Expression Dataset, Labeled Emotions.

[0496] If the user shows a confused look, create a prompt that generates a simple, easy-to-understand explanation.

[0497] In this way, the present invention provides an innovative system that allows users to better understand and enjoy artworks.

[0498] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0499] Step 1:

[0500] A user uses a device to access the art matching platform's website or app and enter their profile and art preferences. The device displays this information in an input form and temporarily stores it. When the user confirms the information they entered and presses the confirm button, the entered basic information and art work preference data are sent to the server. The server verifies the received information and stores it in a database. A message confirming registration is generated and sent to the device.

[0501] input:

[0502] User profile (name, email address, password), art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.)

[0503] output:

[0504] Saving your user profile and art preferences in our database, and a confirmation message

[0505] Step 2:

[0506] The artist uses a device to access the platform and open the artist registration page. The artist enters their profile (name, biography, etc.) and an image and description of their work. The device displays this information in an input form and temporarily stores it. When the artist confirms the information entered and presses the confirm button, the entered profile and work information is sent to the server. The server verifies the received information and saves it in a database. A message confirming registration is generated and sent to the device.

[0507] input:

[0508] Artist profile (name, career history, etc.), work information (images, descriptions)

[0509] output:

[0510] Save artist profile and work information to the database, and receive a message confirming registration

[0511] Step 3:

[0512] When a user accesses the homepage and performs an operation to generate a matching request, the device sends the user's preference data to the server. The server inputs the user's preference data and information about the artist's works stored in the database into a generative AI model and recommends the most suitable art work. The recommendation results are saved in the database and sent to the device.

[0513] input:

[0514] User preference data, artist work information stored in the database

[0515] output:

[0516] Recommendation results for user devices

[0517] Step 4:

[0518] When a user views an artwork, the device's camera captures the user's facial expressions. The emotion analysis engine analyzes the facial expression data in real time and generates emotional data. This emotional data is sent to a server and fed back to the generative AI model.

[0519] input:

[0520] Captured user facial expression data

[0521] output:

[0522] Analyzed emotion data and feedback to generative AI models

[0523] Step 5:

[0524] The generative AI model again recommends artworks based on the user's preference and emotional data. The server generates these recommendation results and sends them to the user's device. The user then browses the artworks based on the new recommendation results.

[0525] input:

[0526] User preference data, analyzed emotional data

[0527] output:

[0528] Updated recommendation results on the user's device

[0529] Step 6:

[0530] The user enters a question about a particular work and the device sends it to the server, which then passes the question to a generative AI model that generates an appropriate answer, which is then sent back to the server and sent to the device for display to the user.

[0531] input:

[0532] User questions

[0533] output:

[0534] Answers generated by a generative AI model, displayed on the user's device

[0535] Step 7:

[0536] When a user and an artist communicate through messages, the device sends the message to the server, which receives the message, stores it in a database, and then forwards it to the artist. The artist's reply is then sent back to the user's device and displayed.

[0537] input:

[0538] User or artist message

[0539] output:

[0540] Display messages on the other party's device, save message contents to a database

[0541] 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.

[0542] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (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.

[0543] 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.

[0544] [Second embodiment]

[0545] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0546] 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.

[0547] 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).

[0548] 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.

[0549] 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.

[0550] 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).

[0551] 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. 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.

[0552] 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.

[0553] 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.

[0554] 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.

[0555] In the smart glasses 214, the 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.

[0556] 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."

[0557] The present invention provides a CtoC art matching platform that effectively matches users with artists. Specific embodiments of the present invention are described below.

[0558] User registration and profile creation

[0559] A user accesses the platform's website or app using a device. First, the user enters basic information (name, email address, password), and then enters their art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.). The device temporarily stores this data and displays an input confirmation screen to the user. When the user confirms the input and presses the confirm button, the device sends this information to the server. The server stores the received information in a database, generates a registration completion message, and sends it to the device. The device then displays a message to the user indicating registration is complete.

[0560] Artist registration and work upload

[0561] The artist uses a device to access the platform and open the artist registration page. They enter their profile (name, biography, etc.) and an image and description of their work. The device temporarily stores this information and displays an input confirmation screen to the artist. When the artist confirms the content and presses the confirm button, the device sends this information to the server. The server stores the received information in a database, generates a message stating that registration is complete, and sends it to the device. The device then displays a message to the artist indicating that registration is complete.

[0562] Matching with generative AI models

[0563] When a user accesses a homepage and performs an operation to generate a matching request, the device sends the user's preference data to the server. The server inputs the user's preference data and information about the artist's works stored in a database into a generative AI model. The generative AI model recommends the most suitable art work based on the user's preferences and returns the results to the server. The server stores the received recommendation results in a database and sends them to the device.

[0564] Displaying matching results

[0565] The device displays the recommendation results received from the server to the user, who can then browse the recommended artworks and select the ones that interest them.

[0566] Communication with artists

[0567] When a user enters a question or message about a selected artwork, the device sends the message to the server, which stores it and forwards it to the artist. When the artist responds, the server forwards the message to the user's device and displays it.

[0568] Commentary by generative AI model

[0569] The user enters a question about the artwork, and the device sends it to the server. The server then sends the question to the generative AI model, which generates an appropriate answer. The generated answer is then sent back to the server and sent to the device for display to the user. This allows the user to gain a deeper understanding of the artwork.

[0570] Specific examples

[0571] For example, if a user expresses an interest in "Japanese painting," they can access the platform and register their preferences for "Japanese painting" and "flower" motifs. If an artist uploads a Japanese painting with a cherry blossom theme, the generative AI model will recommend this work to the user based on their preferences. The user can view the work and, if interested, send a question such as, "What is the background to this painting?" The user will receive a reply from the artist and an explanation from the generative AI model, allowing them to gain a deeper understanding of the work.

[0572] The processing flow will be explained below.

[0573] User registration and profile creation

[0574] Step 1:

[0575] A user accesses the platform's website or app using a device.

[0576] Step 2:

[0577] The user enters their basic information (name, email address, password) and art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.). The device displays this information in an input form.

[0578] Step 3:

[0579] The user confirms the information entered and presses the confirm button. The device temporarily stores this information and sends it to the server.

[0580] Step 4:

[0581] The server validates the received information and stores it in a database.

[0582] Step 5:

[0583] The server generates a registration completion message and sends it to the terminal.

[0584] Step 6:

[0585] The device will display a message to the user confirming registration.

[0586] Artist registration and work upload

[0587] Step 1:

[0588] The artist uses the device to access the artist registration page on the platform.

[0589] Step 2:

[0590] The artist enters their profile (name, biography, etc.) and an image and description of their work. The device displays this information in an input form.

[0591] Step 3:

[0592] The artist checks the information entered and presses the confirm button. The device temporarily stores this information and sends it to the server.

[0593] Step 4:

[0594] The server validates the received information and stores it in a database.

[0595] Step 5:

[0596] The server generates a registration completion message and sends it to the terminal.

[0597] Step 6:

[0598] The device will display a message to the artist confirming registration.

[0599] Matching with generative AI models

[0600] Step 1:

[0601] The user accesses the homepage using the device and performs an operation to generate a matching request.

[0602] Step 2:

[0603] The device sends the user's preference data to the server.

[0604] Step 3:

[0605] The server receives user preference data and collects artist work information stored in a database.

[0606] Step 4:

[0607] The server inputs the user's preference data and artist's work information into the generated AI model.

[0608] Step 5:

[0609] The generative AI model recommends the most suitable artwork based on the user's preferences and sends the results back to the server.

[0610] Step 6:

[0611] The server stores the recommendation results in a database and sends them to the terminal.

[0612] Displaying matching results

[0613] Step 1:

[0614] The device displays the recommendation results received from the server to the user.

[0615] Step 2:

[0616] Users can browse the recommended artworks and select the ones that interest them.

[0617] Communication with artists

[0618] Step 1:

[0619] Users enter questions or messages about works that interest them.

[0620] Step 2:

[0621] The device sends questions or messages to the server.

[0622] Step 3:

[0623] The server stores the message and forwards it to the corresponding artist.

[0624] Step 4:

[0625] The artist receives the message through the terminal and types a response.

[0626] Step 5:

[0627] The server receives the response from the artist and sends it to the user's device.

[0628] Step 6:

[0629] The device displays a reply message from the artist to the user.

[0630] Commentary by generative AI model

[0631] Step 1:

[0632] The user enters a question about the work.

[0633] Step 2:

[0634] The device sends the question to the server.

[0635] Step 3:

[0636] The server inputs the question into a generative AI model.

[0637] Step 4:

[0638] The generative AI model generates an appropriate answer to the question and sends the result back to the server.

[0639] Step 5:

[0640] The server stores the generated answers in a database and sends them to the device.

[0641] Step 6:

[0642] The device displays the answer from the generated AI model to the user.

[0643] Example 1

[0644] 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."

[0645] Conventional art matching systems did not effectively match users with artists, making it difficult for users to find artworks that match their tastes and interests. Furthermore, communication between users and artists was not smooth, resulting in an inconsistent understanding of the artwork and the process of purchasing it. Furthermore, the lack of deep understanding and background information about the artwork led to low user satisfaction.

[0646] 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.

[0647] In this invention, the server includes: a means for a user to input basic information and art preferences and send the information to the server; a means for an artist to input a profile and artwork information and send the information to the server; a means for using a generative AI model to recommend the most suitable artwork based on the user's preferences and the artist's artwork information in the database; a means for the user to view the recommended artworks through a terminal; a means for the user to send questions and messages about the artwork selected by the user to the server and forward them from the server to the artist; a means for the artist to forward and display the reply message to the user via the server; and a means for using a generative AI model to generate answers to the user's questions and display the answers on the terminal. This makes it possible to recommend the most suitable artwork based on the user's preferences, and smooths communication between the user and the artist, improving understanding and satisfaction with the artwork and further facilitating the process leading up to purchase.

[0648] "User" means a user who uses the Art Matching Platform to search for and select artworks that suit his or her preferences.

[0649] "Artist" means a creator who uses the art matching platform to upload and showcase their artwork to users.

[0650] "Server" means a computer system that receives, processes, and stores data submitted by users and artists in a database.

[0651] "Device" means a device used by a User or Artist to access the Art Matching Platform, including a smartphone, tablet, PC, etc.

[0652] A "generative AI model" is an artificial intelligence model that recommends the most suitable artwork based on the user's preference data and artist artwork information in the database.

[0653] A "prompt sentence" is a specific input sentence for processing to be executed by a generative AI model, and includes a user question or request.

[0654] A "database" is a digital storage system for systematically storing and managing information about users, artists, and artworks.

[0655] "Recommendation" means that the generative AI model recommends the most suitable artwork based on the user's preferences.

[0656] "Message" means any written or textual communication between a User and an Artist through the Platform.

[0657] An "answer" is the response provided by a generative AI model to a user's question.

[0658] The present invention provides a system that provides a CtoC art matching platform that effectively matches users with artists. Specific embodiments of the system are described below.

[0659] User registration and profile creation

[0660] The user uses a device to access the art matching platform's website or app. The user enters their name, email address, password, and art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.). This information is temporarily stored on the device, and the user then confirms the content. When the user presses the confirm button, the device sends the information to the server. The server stores this information in a database, generates a registration completion message, and sends it again to the device. The device then displays this completion message to the user.

[0661] Artist registration and work upload

[0662] Artists access the platform using a device in the same way, and enter their profile (e.g., name, biography, etc.) and an image and description of their work. The entered information is temporarily saved on the device, and a confirmation screen is displayed. When the artist confirms the content and presses the confirm button, the device sends this information to the server. The information is saved in the database, and a message indicating registration is complete is returned to the device and displayed.

[0663] Matching with generative AI models

[0664] When a user accesses a homepage and generates a matching request, the device sends the user's preference data to the server. The server sends the preference data and information about the artist's works stored in a database to the generative AI model. The generative AI model recommends the most suitable artwork based on the user's preferences and sends the results back to the server. The server stores the recommendation results in a database and sends them to the device.

[0665] Displaying matching results

[0666] The device displays the recommendation results received from the server to the user, who can then browse the recommended artworks and select the ones that interest them.

[0667] Communication with artists

[0668] When a user enters a question or message about a selected artwork, the device sends the message to the server, which stores it and forwards it to the artist. When the artist responds, the server forwards the message to the user's device and displays it.

[0669] Commentary by generative AI model

[0670] The user enters a question about the artwork, and the device sends the question to the server. The server then sends the question to a generative AI model, which generates an appropriate answer. The generated answer is then sent back to the server, sent to the device, and displayed to the user. This allows the user to gain a deeper understanding of the artwork.

[0671] Specific examples

[0672] For example, if a user is interested in "Japanese painting," they can access the platform and register their preferences for "Japanese painting" and "flower" motifs. If an artist uploads a Japanese painting with a cherry blossom theme, the generative AI model will recommend this work to the user based on their preferences. If the user views the work and becomes interested, they can send a question such as, "What is the background to this painting?" The user will receive a reply from the artist and an explanation from the generative AI model, allowing them to gain a deeper understanding of the work.

[0673] Example prompt sentence:

[0674] What is the background to this painting?

[0675] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0676] Step 1: Register and create your profile

[0677] 1.1 A user accesses a website or app using a device. Input: The device's browser or app. Output: A user registration screen. Specific behavior: The web page or app loads and displays a user registration form.

[0678] 1.2 User enters name, email address, password, and art preferences. Input: User's personal information and art preferences. Output: Data temporarily stored on device. What happens: User enters required information into a form and clicks submit.

[0679] 1.3 The device temporarily stores the entered information and displays a confirmation screen for the user. Input: Data entered by the user. Output: Input confirmation screen. Specific operation: The device stores the entered information in temporary storage and displays a confirmation screen.

[0680] 1.4 The user confirms the input and presses the confirm button. Input: Confirmed user information. Output: Data to be sent to the server. Specific operation: The user presses the confirm button and the device sends the data to the server.

[0681] 1.5 The device sends information to the server. Input: User information. Output: Data stored on the server. Specific operation: The device sends data to the server via the Internet.

[0682] 1.6 The server saves the information in the database, generates a registration completion message, and sends it to the terminal. Input: User information. Output: Registration completion message. Specific operation: The server saves the data in the database, generates a completion message, and sends it.

[0683] 1.7 The terminal displays a message to the user indicating that registration is complete. Input: Registration completion message. Output: Notification to the user that registration is complete. Specific operation: The terminal displays the received message to the user.

[0684] Step 2: Register as an artist and upload your work

[0685] 2.1 The artist accesses the platform using a device. Input: Browser or app on the device. Output: Artist registration screen. Specific operation: The artist opens a browser or app and goes to the registration screen.

[0686] 2.2 The artist enters their profile, artwork image, and description. Input: Artist's personal information and artwork information. Output: Data temporarily stored on the device. Specific operation: The artist enters the required information into the form and uploads artwork image and description.

[0687] 2.3 The device temporarily stores the information and displays an input confirmation screen to the artist. Input: Data entered by the artist. Output: Input confirmation screen. Specific operation: The device stores the input information in temporary storage and displays a confirmation screen.

[0688] 2.4 The artist confirms the content and presses the confirm button. Input: Confirmed artist information and work information. Output: Data to be sent to the server. Specific operation: The artist presses the confirm button and the device sends the data to the server.

[0689] 2.5 The device sends information to the server. Input: Artist information. Output: Data stored on the server. Specific operation: The device sends data to the server via the Internet.

[0690] 2.6 The server saves the information in the database, generates a registration completion message, and sends it to the terminal. Input: Artist information. Output: Registration completion message. Specific operation: The server saves the data in the database, generates a completion message, and sends it.

[0691] 2.7 The device displays a message to the artist indicating that registration is complete. Input: Registration completion message. Output: Notification of registration completion to the artist. Specific operation: The device displays the message received to the artist.

[0692] Step 3: Matching with a generative AI model

[0693] 3.1 A user accesses the homepage and performs an operation to generate a matching request. Input: User request. Output: Request data. Specific operation: The user clicks the request button on the homepage.

[0694] 3.2 The terminal sends the user's preference data to the server. Input: User's preference data. Output: Data sent to the server. Specific operation: The terminal sends the preference data to the server.

[0695] 3.3 The server inputs the user's preference data and artist work information stored in the database into the generative AI model. Input: User's preference data and artist work information. Output: Input data to the generative AI model. Specific operation: The server formats this data and sends it to the generative AI model.

[0696] 3.4 The generative AI model recommends the most suitable artwork based on the user's preferences. Input: Preference data and artwork information. Output: Recommendation results. Specific operation: The generative AI model uses an algorithm to identify the most suitable artwork.

[0697] 3.5 The generative AI model returns the recommendation results to the server. Input: Recommendation results. Output: Data to the server. Specific operation: The generative AI model returns the calculation results to the server.

[0698] 3.6 The server saves the recommendation results in a database and sends them to the terminal. Input: Recommendation results. Output: Data to the user terminal. Specific operation: The server saves the results in a database and sends them to the user terminal.

[0699] Step 4: Viewing the matching results

[0700] 4.1 The device displays the recommendation results received from the server to the user. Input: Recommendation results. Output: Data displayed to the user. Specific operation: The device receives the data and displays it on the screen.

[0701] 4.2 The user browses the recommended artworks and selects the artworks that interest them. Input: Display of artwork. Output: Data of selected artwork. Specific operation: The user clicks on the artwork to select it.

[0702] Step 5: Communicate with the artist

[0703] 5.1 The user enters a question or message about the selected artwork. Input: User's message. Output: Message data. Specific behavior: The user enters information into the text input field.

[0704] 5.2 The terminal sends the contents to the server. Input: Message data. Output: Data sent to the server. Specific operation: The terminal sends a message to the server.

[0705] 5.3 The server saves the message and forwards it to the corresponding artist. Input: Message data. Output: Data to be forwarded to the artist. Specific operation: The server saves the message and forwards it to the corresponding artist's device.

[0706] 5.4 When the artist replies, the server transfers the content to the user's device and displays it. Input: Artist's reply. Output: Data displayed to the user. Specific operation: The artist replies, and the server transfers the data.

[0707] Step 6: Explanation by generative AI model

[0708] 6.1 The user enters a question about the work. Input: Question content. Output: Question data. Specific behavior: The user enters a question in the text field.

[0709] 6.2 The device sends the question to the server. Input: Question data. Output: Data sent to the server. Specific operation: The device sends the question data to the server.

[0710] 6.3 The server sends the question to the generative AI model. Input: Question data. Output: Input data to the generative AI model. Specific operation: The server sends the question to the AI ​​model.

[0711] 6.4 The generative AI model generates an appropriate answer and returns it to the server. Input: Question data. Output: Answer content. Specific operation: The generative AI model analyzes the question and generates an answer.

[0712] 6.5 The server sends the generated answer to the terminal and displays it to the user. Input: Answer content. Output: Data to be displayed to the user. Specific operation: The server receives the answer, sends it to the terminal and displays it.

[0713] (Application example 1)

[0714] 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."

[0715] Conventional art matching platforms make it difficult for users to view artworks in physical spaces such as their homes and obtain detailed information about them. They also have limited methods for recommending the most suitable artworks to users in real time. Furthermore, answers to questions about artworks may not be provided quickly, resulting in low user satisfaction. To solve these problems, a system that allows users to have a more interactive and fulfilling art experience is needed.

[0716] 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.

[0717] In this invention, the server includes: a means for a user to input a profile and art preferences; a means for an artist to upload artwork information; a means for using a generative AI model to recommend optimal artworks based on the user's preferences and the artist's artwork information; a means for the user to view the recommended artworks; a means for the user and the artist to communicate through messages; a means for using a generative AI model to generate and display answers to the user's questions; and a means for installing an application for smart glasses that allows the user to view artworks in a virtual environment. This allows the user to experience optimal artworks in a virtual environment in real time and quickly receive detailed explanations and interact with the artist.

[0718] "User" refers to ordinary consumers who use the art matching platform to view, purchase, and appreciate artworks.

[0719] "Artist" refers to a creator who uploads their own work to the art matching platform and sells or exhibits it to users.

[0720] "Profile" refers to the collection of personal information that a user creates by entering basic information about themselves and their artistic preferences.

[0721] "Art preferences" refers to information that indicates the types, styles, motifs, etc. of artworks that a user prefers.

[0722] "Artwork information" refers to information such as images, descriptions, and categories of artworks uploaded by artists.

[0723] A "generative AI model" is a machine learning model that uses artificial intelligence to recommend the most suitable artworks or generate answers based on user preferences and questions.

[0724] "Recommendation" refers to the act of using a generative AI model to recommend the most suitable artwork based on the user's preferences.

[0725] A "virtual environment" is a virtual space generated by computer technology that users can experience through devices such as smart glasses.

[0726] "Smart glasses" refers to a wearable device that allows users to experience virtual and augmented reality environments.

[0727] "Application" refers to a software program that provides a specific function or service, and in this invention refers to a program for the platform that is installed on the smart glasses.

[0728] The following describes an embodiment of the present invention: The system consists of a terminal used by a user, a terminal used by an artist, a server containing a database, a generative AI model, and smart glasses for experiencing the virtual environment.

[0729] User registration and profile creation

[0730] When a user accesses the platform using a device, they enter basic information (name, email address, password) and their art preferences (e.g., Japanese painting, abstract painting, etc.). This information is temporarily stored on the device, and a confirmation screen is displayed. Once the user confirms the information and presses the confirm button, the information is sent to the server and stored in the database.

[0731] Artist registration and work upload

[0732] Artists access the platform using their devices and enter their profile (name, biography, etc.) and an image and description of their work. This information is temporarily stored on the device, and a confirmation screen is displayed. Once the artist confirms the information and presses the confirm button, the information is sent to the server and saved in the database.

[0733] Matching with generative AI models

[0734] When a user accesses a homepage and generates a matching request, the device sends the user's preference data to the server. The server inputs the user's preference data and artist artwork information stored in a database into a generative AI model. The generative AI model generates a recommendation result for the most suitable artwork based on the user's preferences and returns it to the server. The recommendation result is stored in a database by the server and sent to the device.

[0735] Displaying matching results

[0736] The device receives recommendations from the server and displays them to the user. The user can then browse the recommended artworks and select the ones they are interested in. Using the smart glasses, the user can experience the artworks in a realistic virtual environment.

[0737] Communication with artists

[0738] When a user types a question or message about a selected artwork, the device sends it to the server, which stores the message and forwards it to the artist. When the artist responds, the server forwards the reply to the user's device and displays it.

[0739] Commentary by generative AI model

[0740] The user enters a question about the artwork, and the device sends it to the server. The server then sends the question to the generative AI model, which generates an appropriate answer. The generated answer is then sent back to the server and sent to the device for display to the user, allowing the user to gain a deeper understanding of the artwork.

[0741] Specific examples

[0742] For example, if a user expresses an interest in "Japanese painting," they can access the platform and register their preferences for "Japanese painting" and "floral motifs." If an artist uploads a Japanese painting with a cherry blossom theme, the generative AI model will recommend this work based on the user's preferences. The user can view this work in a virtual environment using smart glasses and send a question such as, "What is the background of this painting?"

[0743] Prompt Sentence Examples

[0744] 1. Recommendations based on user preferences:

[0745] Users are interested in "Japanese paintings" and "floral motifs." We recommend the most suitable artworks.

[0746] 2. Artwork Questions and Answers:

[0747] Artwork ID 101 Question: "What is the background to this piece?" Please explain.

[0748] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0749] Step 1:

[0750] A user accesses the platform using a device and enters basic information (name, email address, password) and art preferences. This input data is temporarily stored on the device, and an input confirmation screen is displayed. When the user confirms the content and presses the confirm button, the device sends this information to the server. The server stores the received information in a database, generates a message indicating registration is complete, and sends it to the device. The device then displays a message indicating registration is complete to the user.

[0751] Step 2:

[0752] Artists access the platform using a terminal and enter their profile and work information (images and descriptions). This input data is temporarily stored on the terminal, and an input confirmation screen is displayed. When the artist confirms the content and presses the confirm button, the terminal sends this information to the server. The server stores the received information in a database, generates a message indicating registration is complete, and sends it to the terminal. The terminal then displays a message indicating registration is complete to the artist.

[0753] Step 3:

[0754] A user accesses a homepage and generates a matching request. The device sends the user's preference data to the server. The server retrieves the user's preference data and information about the artist's works stored in a database and inputs this into the generative AI model. The generative AI model recommends the most suitable artwork based on the user's preferences and returns the results to the server. The server stores the received recommendation results in a database and sends them to the device. The device displays the recommendation results to the user. Input: User's preference data and information about the artist's works. Output: Recommendation results. Data processing: Recommendation processing by the generative AI model.

[0755] Step 4:

[0756] The user selects a recommended artwork and views it in a virtual environment using the smart glasses. The device transfers the recommendation results received from the server to the smart glasses, and the user experiences the artwork in the virtual environment. Input: Recommendation results. Output: Display of artwork in the virtual environment. Data processing: Data transfer to the smart glasses.

[0757] Step 5:

[0758] The user inputs a question or message about the artwork. The device sends the content to the server. The server saves the message and forwards it to the appropriate artist. When the artist replies, the server forwards the content to the user's device and displays it. Input: Question or message content. Output: Reply from the artist. Data processing: Message forwarding process.

[0759] Step 6:

[0760] The user enters a question about the work, and the device sends the content to the server. The server sends the question content to the generative AI model, which generates an appropriate answer. The generated answer is sent back to the server, then sent to the device and displayed to the user. Input: Question content. Output: Answer generated by the generative AI model. Data processing: Answer generation by the generative AI model.

[0761] 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.

[0762] The present invention provides a CtoC art matching platform that effectively matches users with artists, and a system that combines an emotion engine that recognizes user emotions. Specific embodiments of the present invention are described below.

[0763] User registration and profile creation

[0764] A user accesses the platform's website or app using a device. First, the user enters basic information (name, email address, password) and then enters their art preferences (e.g., Japanese painting, abstract art, floral motifs, etc.). The device displays this data in an input form and temporarily stores it. When the user confirms the information entered and presses the confirm button, the device sends this information to the server. The server verifies the received information and stores it in a database. The server generates a message indicating registration is complete and sends it to the device. The device then displays a message indicating registration is complete to the user.

[0765] Artist registration and work upload

[0766] The artist uses a terminal to access the platform and open the artist registration page. They enter their profile (name, biography, etc.) and an image and description of their work. The terminal displays this information in an input form and temporarily stores it. When the artist confirms the information they entered and presses the confirm button, the terminal sends this information to the server. The server verifies the received information and stores it in a database. The server generates a message indicating registration is complete and sends it to the terminal. The terminal displays a message indicating registration is complete to the artist.

[0767] Matching with generative AI models

[0768] When a user accesses a homepage and performs an operation to generate a matching request, the device sends the user's preference data to the server. The server inputs the user's preference data and information about the artist's works stored in a database into a generative AI model. The generative AI model recommends the most suitable art piece based on the user's preferences and returns the results to the server. The server stores the recommendation results in a database and sends them to the device.

[0769] Displaying matching results

[0770] The device displays the recommendations received from the server to the user, who can then browse the recommended artworks and select the ones that interest them.

[0771] Communication with artists

[0772] When a user enters a question or message about a selected artwork, the device sends the message to the server, which stores it and forwards it to the artist. When the artist responds, the server forwards the message to the user's device and displays it.

[0773] Commentary by generative AI model

[0774] The user enters a question about the artwork, and the device sends it to the server. The server then sends the question to the generative AI model, which generates an appropriate answer. The generated answer is then sent back to the server and sent to the device for display to the user. This allows the user to gain a deeper understanding of the artwork.

[0775] Introducing the Emotion Engine

[0776] By combining the emotion engine, the system can analyze the user's facial expressions and behavior data and recognize the user's emotions in real time. Specific embodiments of this will be described below.

[0777] Enhanced matching with emotion engine

[0778] The emotion engine analyzes the user's emotions and feeds the results back to the generative AI model, which then takes this emotional data into account to make more accurate art recommendations. For example, if a user expresses joy while viewing an artwork, the emotion engine collects that data and the generative AI model recommends other artworks that may elicit a similar emotion.

[0779] Personalization with Emotional Data

[0780] The emotion engine uses the user's emotional data to personalize the user's browsing experience. For example, if the user shows an interested expression while browsing, the system will provide more information and works related to that work.

[0781] Real-time analysis and response adjustment

[0782] The emotion engine analyzes the user's emotions in real time, and the generative AI model adjusts the answer and explanation based on the analysis results. For example, if the user shows confusion in response to a question, the system will generate a simpler explanation and provide it to the user.

[0783] Specific examples

[0784] For example, if a user expresses an interest in "Japanese painting," they can access the platform and register their preferences for "Japanese painting" and "flower" motifs. If an artist uploads a Japanese painting with a cherry blossom theme, the generative AI model will recommend this work to the user based on their preferences. If the user shows a happy expression while viewing a work, the emotion engine will collect that information and the generative AI model will recommend more related works. If the user sends a question about a work, such as "What is the background to this painting?", the generative AI model will generate an appropriate answer to the question and present it to the user. If the user shows a confused expression in response to the answer, the emotion engine will analyze that information, and the generative AI model will be able to generate and provide a simpler, more understandable answer.

[0785] In this way, the present invention provides a system that allows users and artists to seamlessly communicate and enjoy artworks with the support of generative AI models and emotion engines.

[0786] The processing flow will be explained below.

[0787] Processing steps of a system that combines an emotion engine and a generative AI model

[0788] User registration and profile creation

[0789] Step 1:

[0790] A user accesses the platform's website or app using a device.

[0791] Step 2:

[0792] The user enters their basic information (name, email address, password) and art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.). The device displays this information in an input form.

[0793] Step 3:

[0794] The user confirms the information entered and presses the confirm button. The device temporarily stores this information and sends it to the server.

[0795] Step 4:

[0796] The server validates the received information and stores it in a database.

[0797] Step 5:

[0798] The server generates a registration completion message and sends it to the terminal.

[0799] Step 6:

[0800] The device will display a message to the user confirming registration.

[0801] Artist registration and work upload

[0802] Step 1:

[0803] The artist uses the device to access the artist registration page on the platform.

[0804] Step 2:

[0805] The artist enters their profile (name, biography, etc.) and an image and description of their work. The device displays this information in an input form.

[0806] Step 3:

[0807] The artist checks the information entered and presses the confirm button. The device temporarily stores this information and sends it to the server.

[0808] Step 4:

[0809] The server validates the received information and stores it in a database.

[0810] Step 5:

[0811] The server generates a registration completion message and sends it to the terminal.

[0812] Step 6:

[0813] The device will display a message to the artist confirming registration.

[0814] Matching with generative AI models

[0815] Step 1:

[0816] The user accesses the homepage using the device and performs an operation to generate a matching request.

[0817] Step 2:

[0818] The device sends the user's preference data to the server.

[0819] Step 3:

[0820] The server receives user preference data and collects artist work information stored in a database.

[0821] Step 4:

[0822] The server inputs the user's preference data and artist's work information into the generated AI model.

[0823] Step 5:

[0824] The generative AI model recommends the most suitable artwork based on the user's preferences and sends the results back to the server.

[0825] Step 6:

[0826] The server stores the recommendation results in a database and sends them to the terminal.

[0827] Displaying matching results

[0828] Step 1:

[0829] The device displays the recommendation results received from the server to the user.

[0830] Step 2:

[0831] Users can browse the recommended artworks and select the ones that interest them.

[0832] Emotion recognition and new recommendations using an emotion engine

[0833] Step 1:

[0834] The emotion engine analyzes the user's facial expressions and behaviors related to the artwork they are viewing, and the device collects data from the user's camera and microphone.

[0835] Step 2:

[0836] The emotion engine analyzes the user's emotions (e.g., joy, interest, confusion, etc.) and sends the results to the server.

[0837] Step 3:

[0838] The server inputs the received emotional data into a generative AI model to generate new recommendations.

[0839] Step 4:

[0840] The generative AI model recommends new artworks based on the emotional data and sends the results back to the server.

[0841] Step 5:

[0842] The server sends new recommendation results to the device and displays them to the user.

[0843] Communication with artists

[0844] Step 1:

[0845] Users enter questions or messages about works that interest them.

[0846] Step 2:

[0847] The device sends questions or messages to the server.

[0848] Step 3:

[0849] The server stores the message and forwards it to the corresponding artist.

[0850] Step 4:

[0851] The artist receives the message through the terminal and types a response.

[0852] Step 5:

[0853] The server receives the response from the artist and sends it to the user's device.

[0854] Step 6:

[0855] The device displays a reply message from the artist to the user.

[0856] Generative AI model provides commentary

[0857] Step 1:

[0858] The user enters a question about the work.

[0859] Step 2:

[0860] The device sends the question to the server.

[0861] Step 3:

[0862] The server inputs the question into a generative AI model.

[0863] Step 4:

[0864] The generative AI model generates an appropriate answer to the question and sends the result back to the server.

[0865] Step 5:

[0866] The server stores the generated answers in a database and sends them to the device.

[0867] Step 6:

[0868] The device displays the answer from the generated AI model to the user.

[0869] Adjusting answers with an emotion engine

[0870] Step 1:

[0871] The emotion engine analyzes the emotions users express in response to their answers (e.g., confusion, understanding, interest, etc.).

[0872] Step 2:

[0873] The emotion engine sends the analysis results to the server.

[0874] Step 3:

[0875] The server inputs emotional data into the generative AI model and adjusts the content of the answer.

[0876] Step 4:

[0877] The generative AI model generates an adjusted answer and sends the result back to the server.

[0878] Step 5:

[0879] The server sends the adjusted answer to the device and displays it to the user.

[0880] This allows users and artists to seamlessly communicate and enjoy artworks with the support of generative AI models and emotion engines.

[0881] Example 2

[0882] 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."

[0883] Previous art matching platforms simply matched user preferences and artist artwork information, making it difficult to optimally match artists by taking into account their emotions and real-time reactions. Furthermore, they lacked the means to provide appropriate and in-depth explanations for questions users had about artworks, limiting communication between artists and users. There is a need to address these issues and improve the user experience.

[0884] 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.

[0885] In this invention, the server includes a means for a user to input their profile and art preferences, a means for an artist to upload artwork information, a means for using a generative AI model to recommend optimal artworks based on the user's preferences and the artist's artwork information, a means for analyzing the user's emotions using an emotion engine and feeding that data back to the generative AI model, and a means for using the generative AI model to generate and display answers to the user's questions. This makes it possible to match optimal artworks taking into account the user's emotions and real-time reactions, and allows the user to enjoy the artworks with a deeper understanding and to communicate smoothly with the artists.

[0886] "Profile" refers to personal information such as basic information, background, and interests of a user or artist.

[0887] "Art preferences" refers to information that indicates a user's preferred art genres, styles, and themes.

[0888] "Work information" refers to information such as images and descriptions of works uploaded by artists.

[0889] A "generative AI model" refers to an artificial intelligence model that recommends the most suitable artwork based on a user's preferences and emotional data.

[0890] "Recommendation" refers to suggesting the most suitable artwork based on the user's preferences and tendencies.

[0891] An "emotion engine" refers to a software and hardware mechanism that analyzes a user's facial expressions and behavioral data and recognizes emotions in real time.

[0892] "Communication" refers to interactions between users and artists through messages.

[0893] "Answer" refers to the appropriate response or explanation provided by a generative AI model in response to a user's question.

[0894] The present invention is a CtoC art matching platform that effectively matches users with artists, and is a system that combines an emotion engine that recognizes user emotions. Specific embodiments of the present invention will be described below.

[0895] User registration and profile creation

[0896] A user accesses the platform's website or app using a device. They enter basic information such as name, email address, password, and art preferences. After the user confirms the information and presses the confirm button, the device sends this information to the server. The server verifies the information and stores it in a database. The server generates a registration completion message and sends it to the device. The device displays a message to the user indicating registration is complete.

[0897] Artist registration and work upload

[0898] The artist uses a device to access the platform and open the artist registration page. They enter their profile (name, biography, etc.) and an image and description of their work. When the artist confirms the information they entered and presses the confirm button, the device sends this information to the server. The server verifies the received information and stores it in a database. The server generates a message indicating registration is complete and sends it to the device. The device displays a message indicating registration is complete to the artist.

[0899] Matching with generative AI models

[0900] When a user accesses a homepage and performs an operation to generate a matching request, the device sends the user's preference data to the server. The server inputs the user's preference data and information about the artist's works stored in a database into the generative AI model. For example, information such as "Japanese painting, cherry blossoms, flowers" is input as a prompt. The generative AI model recommends the most suitable art work based on the user's preferences and returns the results to the server. The server stores the recommendation results in a database and sends them to the device.

[0901] Displaying matching results

[0902] The device displays the recommendations received from the server to the user, who can then browse the recommended artworks and select the ones that interest them.

[0903] Communication with artists

[0904] When a user enters a question or message about a selected artwork, the device sends the message to the server, which stores it and forwards it to the artist. When the artist responds, the server forwards the message to the user's device and displays it.

[0905] Commentary by generative AI model

[0906] The user enters a question about the artwork, and the device sends it to the server. The server then sends the question to the generative AI model, which generates an appropriate answer. The generated answer is then sent back to the server and sent to the device for display to the user, allowing the user to gain a deeper understanding of the artwork.

[0907] Introducing the Emotion Engine

[0908] By combining it with an emotion engine, the system can analyze the user's facial expressions and behavioral data and recognize the user's emotions in real time.

[0909] Enhanced matching with emotion engine

[0910] The emotion engine analyzes the user's emotions and feeds the results back to the generative AI model, which then takes this emotional data into account to make more accurate art recommendations. For example, if a user expresses joy while viewing an artwork, the emotion engine will collect that data and the generative AI model will recommend other artworks that may elicit a similar emotion.

[0911] Personalization with Emotional Data

[0912] The emotion engine uses the user's emotional data to personalize the browsing experience. For example, if the user shows an interested expression while browsing, the system will provide more information and works related to that work.

[0913] Real-time analysis and response adjustment

[0914] The emotion engine analyzes the user's emotions in real time, and the generative AI model adjusts the answer and explanation based on the analysis results. For example, if the user shows confusion in response to a question, the system will generate a simpler explanation and provide it to the user.

[0915] The system allows users and artists to seamlessly communicate and enjoy artwork, supported by generative AI models and emotion engines.

[0916] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0917] System program processing flow

[0918] Step 1: Register and create your profile

[0919] Processing flow

[0920] 1. Input: The user enters their name, email address, password, and art preferences into the device.

[0921] 2. Operation: The device temporarily stores the entered information in memory and displays a confirmation screen.

[0922] 3. Processing:

[0923] After the user confirms the data, he / she presses the confirm button, and the terminal sends the data to the server.

[0924] The server receives the information and validates its format and content.

[0925] 4. Output: After verification, the server saves the user data in the database and generates a registration completion message.

[0926] 5. Operation: A registration completion message is displayed on the device and the user confirms completion.

[0927] Step 2: Register as an artist and upload your work

[0928] Processing flow

[0929] 1. Input: Artists input their profile information, images and descriptions of their work into the terminal.

[0930] 2. Operation: The device temporarily stores the entered information in memory and displays a confirmation screen.

[0931] 3. Processing:

[0932] After the artist confirms, they press the confirm button and the device sends the data to the server.

[0933] The server receives the information and validates its format and content.

[0934] 4. Output: After verification, the server saves the artist data and work information in the database and generates a registration completion message.

[0935] 5. Operation: A registration completion message is displayed on the device and the artist confirms completion.

[0936] Step 3: Matching with a generative AI model

[0937] Processing flow

[0938] 1. Input: The user uses their device to generate a matching request and send art preference data to the server.

[0939] 2. How it works: The server receives the preference data, combines it with information about the artist's work stored in a database, and inputs it into a generative AI model.

[0940] 3. Processing:

[0941] The server inputs prompt sentences such as "Japanese painting, cherry blossoms, flowers" into the generative AI model.

[0942] A generative AI model analyzes the data and recommends the most suitable artwork.

[0943] 4. Output: The server receives the recommendation results from the generative AI model and stores them in a database.

[0944] 5. Operation: The server sends the recommendation results to the terminal and displays them to the user.

[0945] Step 4: Viewing the matching results

[0946] Processing flow

[0947] 1. Input: Recommendation result data from the server.

[0948] 2. Operation: The device displays the recommendation results received from the server to the user.

[0949] 3. Processing:

[0950] The user browses the recommended artworks.

[0951] The user selects the work that interests them.

[0952] 4. Output: Data of selected artworks.

[0953] 5. Action: The user interface displays the selected work.

[0954] Step 5: Communicate with the artist

[0955] Processing flow

[0956] 1. Input: The user types a question or message about the selected work into the terminal.

[0957] 2. Operation: The terminal sends the entered message to the server.

[0958] 3. Processing:

[0959] The server stores the message and forwards it to the appropriate artist.

[0960] The server receives the artist's reply again and forwards it to the user.

[0961] 4. Output: Reply message from the artist.

[0962] 5. Action: A reply message appears on the device and the user confirms it.

[0963] Step 6: Explanation by generative AI model

[0964] Processing flow

[0965] 1. Input: User questions about the work.

[0966] 2. Operation: The device sends the question to the server.

[0967] 3. Processing:

[0968] The server sends the question to the generative AI model.

[0969] The generative AI model analyzes the question and generates an appropriate answer.

[0970] 4. Output: The answer from the generative AI model.

[0971] 5. Action: The answer is sent to the device and displayed to the user.

[0972] Step 7: Implementing the Emotion Engine

[0973] Processing flow

[0974] 1. Input: User facial and behavioral data.

[0975] 2. Action: The device sends this data to the emotion engine.

[0976] 3. Processing:

[0977] The emotion engine analyzes the data and recognizes the user's emotional state in real time.

[0978] The emotion engine feeds the analysis results back to the generative AI model.

[0979] 4. Output: Analysis results based on emotion data.

[0980] 5. How it works: The generative AI model adjusts recommendations and answers based on the emotional data and sends them to the device.

[0981] In this way, the system leverages generative AI models and emotion engines between users and artists to provide seamless communication and a personalized art viewing experience.

[0982] (Application example 2)

[0983] 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."

[0984] While previous art matching platforms made recommendations that took user preferences into account, they lacked personalization based on user emotions, making it difficult to provide the most suitable artworks. Furthermore, they lacked mechanisms for facilitating communication between users and artists and providing appropriate answers to user questions. Furthermore, there was no method for analyzing user emotions in real time and dynamically changing content based on those emotions. This resulted in a poor quality of experience for users.

[0985] 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.

[0986] In this invention, the server includes: a means for a user to input their profile and art preferences; a means for an artist to upload artwork information; a means for using a generative AI model to recommend optimal artworks based on the user's preferences and the artist's artwork information; a means for the user to view the recommended artworks; a means for the user and the artist to communicate through messages; a means for generating and displaying answers to user questions using a generative AI model; a means for analyzing the user's emotions in real time using an emotion analysis engine and feeding the results back to the generative AI model; and a means for further personalizing recommendations based on the user's emotion data. This enables personalized recommendations of optimal artworks based on the user's emotions, facilitates communication between the user and the artist, and makes it possible to provide appropriate answers to user questions in real time.

[0987] "User" means an individual who uses the Art Matching Platform and is interested in, evaluates, or purchases artworks.

[0988] "Artist" means a creator who creates artworks and registers them on the art matching platform to offer them.

[0989] A "profile" is the basic information that users and artists enter when registering on an art matching platform, including information such as their name, background, and preferences.

[0990] "Preferences" means information indicating your preferences and interests regarding artworks that you indicate when registering with the art matching platform.

[0991] "Artwork Information" means data about artworks uploaded by artists to the art matching platform, including images and descriptions.

[0992] A "generative AI model" is a model that uses artificial intelligence technology to recommend the most suitable artwork based on the user's preferences and information about the artist's work.

[0993] "Recommendation" refers to the act of using a generative AI model to recommend the most suitable artwork based on the user's preferences and emotions.

[0994] An "emotion analysis engine" is a system that analyzes a user's facial expressions and behavior and collects emotional data in real time.

[0995] "Real-time" refers to the time when a user receives an immediate response without delay when using the art matching platform.

[0996] "Personalization" refers to the individual customization of artworks and information provided based on the user's individual preferences and emotional data.

[0997] "Communication" refers to the act of users and artists exchanging information with each other through messages and questions.

[0998] An "answer" is the information or explanation generated and provided by a generative AI model in response to a user's question.

[0999] The "system" refers to the entire art matching platform that effectively matches users and artists.

[1000] The system of the present invention includes the following means for effectively matching users with artists.

[1001] User registration and profile creation

[1002] When a user accesses the art matching platform's website or app using their device, they first enter basic information (name, email address, password) and art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.). This information is temporarily stored on the device and, after confirmation, is sent to the server. The server verifies the information, stores it in a database, and sends a message to the user's device confirming registration.

[1003] Artist registration and work upload

[1004] The artist accesses the platform using their device and opens the registration page. They enter their profile (name, biography, etc.) and an image and description of their artwork. This information is temporarily stored on the device and then sent to the server after verification. The server verifies the information, stores it in a database, and sends a message to the artist confirming their registration.

[1005] Introducing a sentiment analysis engine

[1006] As users browse artworks, the device's camera captures their facial expressions, and the emotion analysis engine analyzes the emotional data in real time. This emotional data is then sent to a server and fed back to a generative AI model, enabling personalized recommendations based on the user's emotions.

[1007] Recommendations and Personalization

[1008] The server uses a generative AI model to recommend the most suitable artwork based on the user's preference and emotional data. The recommendation results are sent to the user's device, where the user can view and select. If the user expresses interest in a particular artwork, the generative AI model will provide a detailed description of that artwork.

[1009] Communication and Answer Generation

[1010] When a user inputs a question for an artist, the message is forwarded to the artist via the server. The artist's reply is then displayed on the user's device. The generative AI model also generates an answer to the user's question and displays it on the device.

[1011] System program and processing details

[1012] The system uses Python programming, the image processing library OpenCV, emotion analysis software EmotionEngine, and generative AI models to recommend the most suitable artworks based on the user's emotional and preference data, and to personalize the user experience by analyzing and providing feedback on emotions in real time.

[1013] Specific prompt examples

[1014] Generate the best algorithm to recommend the right artworks based on the user's art preferences and real-time sentiment data.

[1015] Train a model to analyze emotions from user facial expressions using the following datasets: Facial Expression Dataset, Labeled Emotions.

[1016] If the user shows a confused look, create a prompt that generates a simple, easy-to-understand explanation.

[1017] In this way, the present invention provides an innovative system that allows users to better understand and enjoy artworks.

[1018] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1019] Step 1:

[1020] A user uses a device to access the art matching platform's website or app and enter their profile and art preferences. The device displays this information in an input form and temporarily stores it. When the user confirms the information they entered and presses the confirm button, the entered basic information and art work preference data are sent to the server. The server verifies the received information and stores it in a database. A message confirming registration is generated and sent to the device.

[1021] input:

[1022] User profile (name, email address, password), art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.)

[1023] output:

[1024] Saving your user profile and art preferences in our database, and a confirmation message

[1025] Step 2:

[1026] The artist uses a device to access the platform and open the artist registration page. The artist enters their profile (name, biography, etc.) and an image and description of their work. The device displays this information in an input form and temporarily stores it. When the artist confirms the information entered and presses the confirm button, the entered profile and work information is sent to the server. The server verifies the received information and saves it in a database. A message confirming registration is generated and sent to the device.

[1027] input:

[1028] Artist profile (name, career history, etc.), work information (images, descriptions)

[1029] output:

[1030] Save artist profile and work information to the database, and receive a message confirming registration

[1031] Step 3:

[1032] When a user accesses the homepage and performs an operation to generate a matching request, the device sends the user's preference data to the server. The server inputs the user's preference data and information about the artist's works stored in the database into a generative AI model and recommends the most suitable art work. The recommendation results are saved in the database and sent to the device.

[1033] input:

[1034] User preference data, artist work information stored in the database

[1035] output:

[1036] Recommendation results for user devices

[1037] Step 4:

[1038] When a user views an artwork, the device's camera captures the user's facial expressions. The emotion analysis engine analyzes the facial expression data in real time and generates emotional data. This emotional data is sent to a server and fed back to the generative AI model.

[1039] input:

[1040] Captured user facial expression data

[1041] output:

[1042] Analyzed emotion data and feedback to generative AI models

[1043] Step 5:

[1044] The generative AI model again recommends artworks based on the user's preference and emotional data. The server generates these recommendation results and sends them to the user's device. The user then browses the artworks based on the new recommendation results.

[1045] input:

[1046] User preference data, analyzed emotional data

[1047] output:

[1048] Updated recommendation results on the user's device

[1049] Step 6:

[1050] The user enters a question about a particular work and the device sends it to the server, which then passes the question to a generative AI model that generates an appropriate answer, which is then sent back to the server and sent to the device for display to the user.

[1051] input:

[1052] User questions

[1053] output:

[1054] Answers generated by a generative AI model, displayed on the user's device

[1055] Step 7:

[1056] When a user and an artist communicate through messages, the device sends the message to the server, which receives the message, stores it in a database, and then forwards it to the artist. The artist's reply is then sent back to the user's device and displayed.

[1057] input:

[1058] User or artist message

[1059] output:

[1060] Display messages on the other party's device, save message contents to a database

[1061] 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.

[1062] 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.

[1063] 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.

[1064] [Third embodiment]

[1065] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1066] 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.

[1067] 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).

[1068] 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.

[1069] 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.

[1070] 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).

[1071] 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. 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.

[1072] 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.

[1073] 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.

[1074] 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.

[1075] 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.

[1076] 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."

[1077] The present invention provides a CtoC art matching platform that effectively matches users with artists. Specific embodiments of the present invention are described below.

[1078] User registration and profile creation

[1079] A user accesses the platform's website or app using a device. First, the user enters basic information (name, email address, password), and then enters their art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.). The device temporarily stores this data and displays an input confirmation screen to the user. When the user confirms the input and presses the confirm button, the device sends this information to the server. The server stores the received information in a database, generates a registration completion message, and sends it to the device. The device then displays a message to the user indicating registration is complete.

[1080] Artist registration and work upload

[1081] The artist uses a device to access the platform and open the artist registration page. They enter their profile (name, biography, etc.) and an image and description of their work. The device temporarily stores this information and displays an input confirmation screen to the artist. When the artist confirms the content and presses the confirm button, the device sends this information to the server. The server stores the received information in a database, generates a message stating that registration is complete, and sends it to the device. The device then displays a message to the artist indicating that registration is complete.

[1082] Matching with generative AI models

[1083] When a user accesses a homepage and performs an operation to generate a matching request, the device sends the user's preference data to the server. The server inputs the user's preference data and information about the artist's works stored in a database into a generative AI model. The generative AI model recommends the most suitable art work based on the user's preferences and returns the results to the server. The server stores the received recommendation results in a database and sends them to the device.

[1084] Displaying matching results

[1085] The device displays the recommendation results received from the server to the user, who can then browse the recommended artworks and select the ones that interest them.

[1086] Communication with artists

[1087] When a user enters a question or message about a selected artwork, the device sends the message to the server, which stores it and forwards it to the artist. When the artist responds, the server forwards the message to the user's device and displays it.

[1088] Commentary by generative AI model

[1089] The user enters a question about the artwork, and the device sends it to the server. The server then sends the question to the generative AI model, which generates an appropriate answer. The generated answer is then sent back to the server and sent to the device for display to the user. This allows the user to gain a deeper understanding of the artwork.

[1090] Specific examples

[1091] For example, if a user expresses an interest in "Japanese painting," they can access the platform and register their preferences for "Japanese painting" and "flower" motifs. If an artist uploads a Japanese painting with a cherry blossom theme, the generative AI model will recommend this work to the user based on their preferences. The user can view the work and, if interested, send a question such as, "What is the background to this painting?" The user will receive a reply from the artist and an explanation from the generative AI model, allowing them to gain a deeper understanding of the work.

[1092] The processing flow will be explained below.

[1093] User registration and profile creation

[1094] Step 1:

[1095] A user accesses the platform's website or app using a device.

[1096] Step 2:

[1097] The user enters their basic information (name, email address, password) and art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.). The device displays this information in an input form.

[1098] Step 3:

[1099] The user confirms the information entered and presses the confirm button. The device temporarily stores this information and sends it to the server.

[1100] Step 4:

[1101] The server validates the received information and stores it in a database.

[1102] Step 5:

[1103] The server generates a registration completion message and sends it to the terminal.

[1104] Step 6:

[1105] The device will display a message to the user confirming registration.

[1106] Artist registration and work upload

[1107] Step 1:

[1108] The artist uses the device to access the artist registration page on the platform.

[1109] Step 2:

[1110] The artist enters their profile (name, biography, etc.) and an image and description of their work. The device displays this information in an input form.

[1111] Step 3:

[1112] The artist checks the information entered and presses the confirm button. The device temporarily stores this information and sends it to the server.

[1113] Step 4:

[1114] The server validates the received information and stores it in a database.

[1115] Step 5:

[1116] The server generates a registration completion message and sends it to the terminal.

[1117] Step 6:

[1118] The device will display a message to the artist confirming registration.

[1119] Matching with generative AI models

[1120] Step 1:

[1121] The user accesses the homepage using the device and performs an operation to generate a matching request.

[1122] Step 2:

[1123] The device sends the user's preference data to the server.

[1124] Step 3:

[1125] The server receives user preference data and collects artist work information stored in a database.

[1126] Step 4:

[1127] The server inputs the user's preference data and artist's work information into the generated AI model.

[1128] Step 5:

[1129] The generative AI model recommends the most suitable artwork based on the user's preferences and sends the results back to the server.

[1130] Step 6:

[1131] The server stores the recommendation results in a database and sends them to the terminal.

[1132] Displaying matching results

[1133] Step 1:

[1134] The device displays the recommendation results received from the server to the user.

[1135] Step 2:

[1136] Users can browse the recommended artworks and select the ones that interest them.

[1137] Communication with artists

[1138] Step 1:

[1139] Users enter questions or messages about works that interest them.

[1140] Step 2:

[1141] The device sends questions or messages to the server.

[1142] Step 3:

[1143] The server stores the message and forwards it to the corresponding artist.

[1144] Step 4:

[1145] The artist receives the message through the terminal and types a response.

[1146] Step 5:

[1147] The server receives the response from the artist and sends it to the user's device.

[1148] Step 6:

[1149] The device displays a reply message from the artist to the user.

[1150] Commentary by generative AI model

[1151] Step 1:

[1152] The user enters a question about the work.

[1153] Step 2:

[1154] The device sends the question to the server.

[1155] Step 3:

[1156] The server inputs the question into a generative AI model.

[1157] Step 4:

[1158] The generative AI model generates an appropriate answer to the question and sends the result back to the server.

[1159] Step 5:

[1160] The server stores the generated answers in a database and sends them to the device.

[1161] Step 6:

[1162] The device displays the answer from the generated AI model to the user.

[1163] Example 1

[1164] 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."

[1165] Conventional art matching systems did not effectively match users with artists, making it difficult for users to find artworks that match their tastes and interests. Furthermore, communication between users and artists was not smooth, resulting in an inconsistent understanding of the artwork and the process of purchasing it. Furthermore, the lack of deep understanding and background information about the artwork led to low user satisfaction.

[1166] 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.

[1167] In this invention, the server includes: a means for a user to input basic information and art preferences and send the information to the server; a means for an artist to input a profile and artwork information and send the information to the server; a means for using a generative AI model to recommend the most suitable artwork based on the user's preferences and the artist's artwork information in the database; a means for the user to view the recommended artworks through a terminal; a means for the user to send questions and messages about the artwork selected by the user to the server and forward them from the server to the artist; a means for the artist to forward and display the reply message to the user via the server; and a means for using a generative AI model to generate answers to the user's questions and display the answers on the terminal. This makes it possible to recommend the most suitable artwork based on the user's preferences, and smooths communication between the user and the artist, improving understanding and satisfaction with the artwork and further facilitating the process leading up to purchase.

[1168] "User" means a user who uses the Art Matching Platform to search for and select artworks that suit his or her preferences.

[1169] "Artist" means a creator who uses the art matching platform to upload and showcase their artwork to users.

[1170] "Server" means a computer system that receives, processes, and stores data submitted by users and artists in a database.

[1171] "Device" means a device used by a User or Artist to access the Art Matching Platform, including a smartphone, tablet, PC, etc.

[1172] A "generative AI model" is an artificial intelligence model that recommends the most suitable artwork based on the user's preference data and artist artwork information in the database.

[1173] A "prompt sentence" is a specific input sentence for processing to be executed by a generative AI model, and includes a user question or request.

[1174] A "database" is a digital storage system for systematically storing and managing information about users, artists, and artworks.

[1175] "Recommendation" means that the generative AI model recommends the most suitable artwork based on the user's preferences.

[1176] "Message" means any written or textual communication between a User and an Artist through the Platform.

[1177] An "answer" is the response provided by a generative AI model to a user's question.

[1178] The present invention provides a system that provides a CtoC art matching platform that effectively matches users with artists. Specific embodiments of the system are described below.

[1179] User registration and profile creation

[1180] The user uses a device to access the art matching platform's website or app. The user enters their name, email address, password, and art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.). This information is temporarily stored on the device, and the user then confirms the content. When the user presses the confirm button, the device sends the information to the server. The server stores this information in a database, generates a registration completion message, and sends it again to the device. The device then displays this completion message to the user.

[1181] Artist registration and work upload

[1182] Artists access the platform using a device in the same way, and enter their profile (e.g., name, biography, etc.) and an image and description of their work. The entered information is temporarily saved on the device, and a confirmation screen is displayed. When the artist confirms the content and presses the confirm button, the device sends this information to the server. The information is saved in the database, and a message indicating registration is complete is returned to the device and displayed.

[1183] Matching with generative AI models

[1184] When a user accesses a homepage and generates a matching request, the device sends the user's preference data to the server. The server sends the preference data and information about the artist's works stored in a database to the generative AI model. The generative AI model recommends the most suitable artwork based on the user's preferences and sends the results back to the server. The server stores the recommendation results in a database and sends them to the device.

[1185] Displaying matching results

[1186] The device displays the recommendation results received from the server to the user, who can then browse the recommended artworks and select the ones that interest them.

[1187] Communication with artists

[1188] When a user enters a question or message about a selected artwork, the device sends the message to the server, which stores it and forwards it to the artist. When the artist responds, the server forwards the message to the user's device and displays it.

[1189] Commentary by generative AI model

[1190] The user enters a question about the artwork, and the device sends the question to the server. The server then sends the question to a generative AI model, which generates an appropriate answer. The generated answer is then sent back to the server, sent to the device, and displayed to the user. This allows the user to gain a deeper understanding of the artwork.

[1191] Specific examples

[1192] For example, if a user is interested in "Japanese painting," they can access the platform and register their preferences for "Japanese painting" and "flower" motifs. If an artist uploads a Japanese painting with a cherry blossom theme, the generative AI model will recommend this work to the user based on their preferences. If the user views the work and becomes interested, they can send a question such as, "What is the background to this painting?" The user will receive a reply from the artist and an explanation from the generative AI model, allowing them to gain a deeper understanding of the work.

[1193] Example prompt sentence:

[1194] What is the background to this painting?

[1195] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1196] Step 1: Register and create your profile

[1197] 1.1 A user accesses a website or app using a device. Input: The device's browser or app. Output: A user registration screen. Specific behavior: The web page or app loads and displays a user registration form.

[1198] 1.2 User enters name, email address, password, and art preferences. Input: User's personal information and art preferences. Output: Data temporarily stored on device. What happens: User enters required information into a form and clicks submit.

[1199] 1.3 The device temporarily stores the entered information and displays a confirmation screen for the user. Input: Data entered by the user. Output: Input confirmation screen. Specific operation: The device stores the entered information in temporary storage and displays a confirmation screen.

[1200] 1.4 The user confirms the input and presses the confirm button. Input: Confirmed user information. Output: Data to be sent to the server. Specific operation: The user presses the confirm button and the device sends the data to the server.

[1201] 1.5 The device sends information to the server. Input: User information. Output: Data stored on the server. Specific operation: The device sends data to the server via the Internet.

[1202] 1.6 The server saves the information in the database, generates a registration completion message, and sends it to the terminal. Input: User information. Output: Registration completion message. Specific operation: The server saves the data in the database, generates a completion message, and sends it.

[1203] 1.7 The terminal displays a message to the user indicating that registration is complete. Input: Registration completion message. Output: Notification to the user that registration is complete. Specific operation: The terminal displays the received message to the user.

[1204] Step 2: Register as an artist and upload your work

[1205] 2.1 The artist accesses the platform using a device. Input: Browser or app on the device. Output: Artist registration screen. Specific operation: The artist opens a browser or app and goes to the registration screen.

[1206] 2.2 The artist enters their profile, artwork image, and description. Input: Artist's personal information and artwork information. Output: Data temporarily stored on the device. Specific operation: The artist enters the required information into the form and uploads artwork image and description.

[1207] 2.3 The device temporarily stores the information and displays an input confirmation screen to the artist. Input: Data entered by the artist. Output: Input confirmation screen. Specific operation: The device stores the input information in temporary storage and displays a confirmation screen.

[1208] 2.4 The artist confirms the content and presses the confirm button. Input: Confirmed artist information and work information. Output: Data to be sent to the server. Specific operation: The artist presses the confirm button and the device sends the data to the server.

[1209] 2.5 The device sends information to the server. Input: Artist information. Output: Data stored on the server. Specific operation: The device sends data to the server via the Internet.

[1210] 2.6 The server saves the information in the database, generates a registration completion message, and sends it to the terminal. Input: Artist information. Output: Registration completion message. Specific operation: The server saves the data in the database, generates a completion message, and sends it.

[1211] 2.7 The device displays a message to the artist indicating that registration is complete. Input: Registration completion message. Output: Notification of registration completion to the artist. Specific operation: The device displays the message received to the artist.

[1212] Step 3: Matching with a generative AI model

[1213] 3.1 A user accesses the homepage and performs an operation to generate a matching request. Input: User request. Output: Request data. Specific operation: The user clicks the request button on the homepage.

[1214] 3.2 The terminal sends the user's preference data to the server. Input: User's preference data. Output: Data sent to the server. Specific operation: The terminal sends the preference data to the server.

[1215] 3.3 The server inputs the user's preference data and artist work information stored in the database into the generative AI model. Input: User's preference data and artist work information. Output: Input data to the generative AI model. Specific operation: The server formats this data and sends it to the generative AI model.

[1216] 3.4 The generative AI model recommends the most suitable artwork based on the user's preferences. Input: Preference data and artwork information. Output: Recommendation results. Specific operation: The generative AI model uses an algorithm to identify the most suitable artwork.

[1217] 3.5 The generative AI model returns the recommendation results to the server. Input: Recommendation results. Output: Data to the server. Specific operation: The generative AI model returns the calculation results to the server.

[1218] 3.6 The server saves the recommendation results in a database and sends them to the terminal. Input: Recommendation results. Output: Data to the user terminal. Specific operation: The server saves the results in a database and sends them to the user terminal.

[1219] Step 4: Viewing the matching results

[1220] 4.1 The device displays the recommendation results received from the server to the user. Input: Recommendation results. Output: Data displayed to the user. Specific operation: The device receives the data and displays it on the screen.

[1221] 4.2 The user browses the recommended artworks and selects the artworks that interest them. Input: Display of artwork. Output: Data of selected artwork. Specific operation: The user clicks on the artwork to select it.

[1222] Step 5: Communicate with the artist

[1223] 5.1 The user enters a question or message about the selected artwork. Input: User's message. Output: Message data. Specific behavior: The user enters information into the text input field.

[1224] 5.2 The terminal sends the contents to the server. Input: Message data. Output: Data sent to the server. Specific operation: The terminal sends a message to the server.

[1225] 5.3 The server saves the message and forwards it to the corresponding artist. Input: Message data. Output: Data to be forwarded to the artist. Specific operation: The server saves the message and forwards it to the corresponding artist's device.

[1226] 5.4 When the artist replies, the server transfers the content to the user's device and displays it. Input: Artist's reply. Output: Data displayed to the user. Specific operation: The artist replies, and the server transfers the data.

[1227] Step 6: Explanation by generative AI model

[1228] 6.1 The user enters a question about the work. Input: Question content. Output: Question data. Specific behavior: The user enters a question in the text field.

[1229] 6.2 The device sends the question to the server. Input: Question data. Output: Data sent to the server. Specific operation: The device sends the question data to the server.

[1230] 6.3 The server sends the question to the generative AI model. Input: Question data. Output: Input data to the generative AI model. Specific operation: The server sends the question to the AI ​​model.

[1231] 6.4 The generative AI model generates an appropriate answer and returns it to the server. Input: Question data. Output: Answer content. Specific operation: The generative AI model analyzes the question and generates an answer.

[1232] 6.5 The server sends the generated answer to the terminal and displays it to the user. Input: Answer content. Output: Data to be displayed to the user. Specific operation: The server receives the answer, sends it to the terminal and displays it.

[1233] (Application example 1)

[1234] 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."

[1235] Conventional art matching platforms make it difficult for users to view artworks in physical spaces such as their homes and obtain detailed information about them. They also have limited methods for recommending the most suitable artworks to users in real time. Furthermore, answers to questions about artworks may not be provided quickly, resulting in low user satisfaction. To solve these problems, a system that allows users to have a more interactive and fulfilling art experience is needed.

[1236] 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.

[1237] In this invention, the server includes: a means for a user to input a profile and art preferences; a means for an artist to upload artwork information; a means for using a generative AI model to recommend optimal artworks based on the user's preferences and the artist's artwork information; a means for the user to view the recommended artworks; a means for the user and the artist to communicate through messages; a means for using a generative AI model to generate and display answers to the user's questions; and a means for installing an application for smart glasses that allows the user to view artworks in a virtual environment. This allows the user to experience optimal artworks in a virtual environment in real time and quickly receive detailed explanations and interact with the artist.

[1238] "User" refers to ordinary consumers who use the art matching platform to view, purchase, and appreciate artworks.

[1239] "Artist" refers to a creator who uploads their own work to the art matching platform and sells or exhibits it to users.

[1240] "Profile" refers to the collection of personal information that a user creates by entering basic information about themselves and their artistic preferences.

[1241] "Art preferences" refers to information that indicates the types, styles, motifs, etc. of artworks that a user prefers.

[1242] "Artwork information" refers to information such as images, descriptions, and categories of artworks uploaded by artists.

[1243] A "generative AI model" is a machine learning model that uses artificial intelligence to recommend the most suitable artworks or generate answers based on user preferences and questions.

[1244] "Recommendation" refers to the act of using a generative AI model to recommend the most suitable artwork based on the user's preferences.

[1245] A "virtual environment" is a virtual space generated by computer technology that users can experience through devices such as smart glasses.

[1246] "Smart glasses" refers to a wearable device that allows users to experience virtual and augmented reality environments.

[1247] "Application" refers to a software program that provides a specific function or service, and in this invention refers to a program for the platform that is installed on the smart glasses.

[1248] The following describes an embodiment of the present invention: The system consists of a terminal used by a user, a terminal used by an artist, a server containing a database, a generative AI model, and smart glasses for experiencing the virtual environment.

[1249] User registration and profile creation

[1250] When a user accesses the platform using a device, they enter basic information (name, email address, password) and their art preferences (e.g., Japanese painting, abstract painting, etc.). This information is temporarily stored on the device, and a confirmation screen is displayed. Once the user confirms the information and presses the confirm button, the information is sent to the server and stored in the database.

[1251] Artist registration and work upload

[1252] Artists access the platform using their devices and enter their profile (name, biography, etc.) and an image and description of their work. This information is temporarily stored on the device, and a confirmation screen is displayed. Once the artist confirms the information and presses the confirm button, the information is sent to the server and saved in the database.

[1253] Matching with generative AI models

[1254] When a user accesses a homepage and generates a matching request, the device sends the user's preference data to the server. The server inputs the user's preference data and artist artwork information stored in a database into a generative AI model. The generative AI model generates a recommendation result for the most suitable artwork based on the user's preferences and returns it to the server. The recommendation result is stored in a database by the server and sent to the device.

[1255] Displaying matching results

[1256] The device receives recommendations from the server and displays them to the user. The user can then browse the recommended artworks and select the ones they are interested in. Using the smart glasses, the user can experience the artworks in a realistic virtual environment.

[1257] Communication with artists

[1258] When a user types a question or message about a selected artwork, the device sends it to the server, which stores the message and forwards it to the artist. When the artist responds, the server forwards the reply to the user's device and displays it.

[1259] Commentary by generative AI model

[1260] The user enters a question about the artwork, and the device sends it to the server. The server then sends the question to the generative AI model, which generates an appropriate answer. The generated answer is then sent back to the server and sent to the device for display to the user, allowing the user to gain a deeper understanding of the artwork.

[1261] Specific examples

[1262] For example, if a user expresses an interest in "Japanese painting," they can access the platform and register their preferences for "Japanese painting" and "floral motifs." If an artist uploads a Japanese painting with a cherry blossom theme, the generative AI model will recommend this work based on the user's preferences. The user can view this work in a virtual environment using smart glasses and send a question such as, "What is the background of this painting?"

[1263] Prompt Sentence Examples

[1264] 1. Recommendations based on user preferences:

[1265] Users are interested in "Japanese paintings" and "floral motifs." We recommend the most suitable artworks.

[1266] 2. Artwork Questions and Answers:

[1267] Artwork ID 101 Question: "What is the background to this piece?" Please explain.

[1268] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1269] Step 1:

[1270] A user accesses the platform using a device and enters basic information (name, email address, password) and art preferences. This input data is temporarily stored on the device, and an input confirmation screen is displayed. When the user confirms the content and presses the confirm button, the device sends this information to the server. The server stores the received information in a database, generates a message indicating registration is complete, and sends it to the device. The device then displays a message indicating registration is complete to the user.

[1271] Step 2:

[1272] Artists access the platform using a terminal and enter their profile and work information (images and descriptions). This input data is temporarily stored on the terminal, and an input confirmation screen is displayed. When the artist confirms the content and presses the confirm button, the terminal sends this information to the server. The server stores the received information in a database, generates a message indicating registration is complete, and sends it to the terminal. The terminal then displays a message indicating registration is complete to the artist.

[1273] Step 3:

[1274] A user accesses a homepage and generates a matching request. The device sends the user's preference data to the server. The server retrieves the user's preference data and information about the artist's works stored in a database and inputs this into the generative AI model. The generative AI model recommends the most suitable artwork based on the user's preferences and returns the results to the server. The server stores the received recommendation results in a database and sends them to the device. The device displays the recommendation results to the user. Input: User's preference data and information about the artist's works. Output: Recommendation results. Data processing: Recommendation processing by the generative AI model.

[1275] Step 4:

[1276] The user selects a recommended artwork and views it in a virtual environment using the smart glasses. The device transfers the recommendation results received from the server to the smart glasses, and the user experiences the artwork in the virtual environment. Input: Recommendation results. Output: Display of artwork in the virtual environment. Data processing: Data transfer to the smart glasses.

[1277] Step 5:

[1278] The user inputs a question or message about the artwork. The device sends the content to the server. The server saves the message and forwards it to the appropriate artist. When the artist replies, the server forwards the content to the user's device and displays it. Input: Question or message content. Output: Reply from the artist. Data processing: Message forwarding process.

[1279] Step 6:

[1280] The user enters a question about the work, and the device sends the content to the server. The server sends the question content to the generative AI model, which generates an appropriate answer. The generated answer is sent back to the server, then sent to the device and displayed to the user. Input: Question content. Output: Answer generated by the generative AI model. Data processing: Answer generation by the generative AI model.

[1281] 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.

[1282] The present invention provides a CtoC art matching platform that effectively matches users with artists, and a system that combines an emotion engine that recognizes user emotions. Specific embodiments of the present invention are described below.

[1283] User registration and profile creation

[1284] A user accesses the platform's website or app using a device. First, the user enters basic information (name, email address, password) and then enters their art preferences (e.g., Japanese painting, abstract art, floral motifs, etc.). The device displays this data in an input form and temporarily stores it. When the user confirms the information entered and presses the confirm button, the device sends this information to the server. The server verifies the received information and stores it in a database. The server generates a message indicating registration is complete and sends it to the device. The device then displays a message indicating registration is complete to the user.

[1285] Artist registration and work upload

[1286] The artist uses a terminal to access the platform and open the artist registration page. They enter their profile (name, biography, etc.) and an image and description of their work. The terminal displays this information in an input form and temporarily stores it. When the artist confirms the information they entered and presses the confirm button, the terminal sends this information to the server. The server verifies the received information and stores it in a database. The server generates a message indicating registration is complete and sends it to the terminal. The terminal displays a message indicating registration is complete to the artist.

[1287] Matching with generative AI models

[1288] When a user accesses a homepage and performs an operation to generate a matching request, the device sends the user's preference data to the server. The server inputs the user's preference data and information about the artist's works stored in a database into a generative AI model. The generative AI model recommends the most suitable art piece based on the user's preferences and returns the results to the server. The server stores the recommendation results in a database and sends them to the device.

[1289] Displaying matching results

[1290] The device displays the recommendations received from the server to the user, who can then browse the recommended artworks and select the ones that interest them.

[1291] Communication with artists

[1292] When a user enters a question or message about a selected artwork, the device sends the message to the server, which stores it and forwards it to the artist. When the artist responds, the server forwards the message to the user's device and displays it.

[1293] Commentary by generative AI model

[1294] The user enters a question about the artwork, and the device sends it to the server. The server then sends the question to the generative AI model, which generates an appropriate answer. The generated answer is then sent back to the server and sent to the device for display to the user. This allows the user to gain a deeper understanding of the artwork.

[1295] Introducing the Emotion Engine

[1296] By combining the emotion engine, the system can analyze the user's facial expressions and behavior data and recognize the user's emotions in real time. Specific embodiments of this will be described below.

[1297] Enhanced matching with emotion engine

[1298] The emotion engine analyzes the user's emotions and feeds the results back to the generative AI model, which then takes this emotional data into account to make more accurate art recommendations. For example, if a user expresses joy while viewing an artwork, the emotion engine collects that data and the generative AI model recommends other artworks that may elicit a similar emotion.

[1299] Personalization with Emotional Data

[1300] The emotion engine uses the user's emotional data to personalize the user's browsing experience. For example, if the user shows an interested expression while browsing, the system will provide more information and works related to that work.

[1301] Real-time analysis and response adjustment

[1302] The emotion engine analyzes the user's emotions in real time, and the generative AI model adjusts the answer and explanation based on the analysis results. For example, if the user shows confusion in response to a question, the system will generate a simpler explanation and provide it to the user.

[1303] Specific examples

[1304] For example, if a user expresses an interest in "Japanese painting," they can access the platform and register their preferences for "Japanese painting" and "flower" motifs. If an artist uploads a Japanese painting with a cherry blossom theme, the generative AI model will recommend this work to the user based on their preferences. If the user shows a happy expression while viewing a work, the emotion engine will collect that information and the generative AI model will recommend more related works. If the user sends a question about a work, such as "What is the background to this painting?", the generative AI model will generate an appropriate answer to the question and present it to the user. If the user shows a confused expression in response to the answer, the emotion engine will analyze that information, and the generative AI model will be able to generate and provide a simpler, more understandable answer.

[1305] In this way, the present invention provides a system that allows users and artists to seamlessly communicate and enjoy artworks with the support of generative AI models and emotion engines.

[1306] The processing flow will be explained below.

[1307] Processing steps of a system that combines an emotion engine and a generative AI model

[1308] User registration and profile creation

[1309] Step 1:

[1310] A user accesses the platform's website or app using a device.

[1311] Step 2:

[1312] The user enters their basic information (name, email address, password) and art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.). The device displays this information in an input form.

[1313] Step 3:

[1314] The user confirms the information entered and presses the confirm button. The device temporarily stores this information and sends it to the server.

[1315] Step 4:

[1316] The server validates the received information and stores it in a database.

[1317] Step 5:

[1318] The server generates a registration completion message and sends it to the terminal.

[1319] Step 6:

[1320] The device will display a message to the user confirming registration.

[1321] Artist registration and work upload

[1322] Step 1:

[1323] The artist uses the device to access the artist registration page on the platform.

[1324] Step 2:

[1325] The artist enters their profile (name, biography, etc.) and an image and description of their work. The device displays this information in an input form.

[1326] Step 3:

[1327] The artist checks the information entered and presses the confirm button. The device temporarily stores this information and sends it to the server.

[1328] Step 4:

[1329] The server validates the received information and stores it in a database.

[1330] Step 5:

[1331] The server generates a registration completion message and sends it to the terminal.

[1332] Step 6:

[1333] The device will display a message to the artist confirming registration.

[1334] Matching with generative AI models

[1335] Step 1:

[1336] The user accesses the homepage using the device and performs an operation to generate a matching request.

[1337] Step 2:

[1338] The device sends the user's preference data to the server.

[1339] Step 3:

[1340] The server receives user preference data and collects artist work information stored in a database.

[1341] Step 4:

[1342] The server inputs the user's preference data and artist's work information into the generated AI model.

[1343] Step 5:

[1344] The generative AI model recommends the most suitable artwork based on the user's preferences and sends the results back to the server.

[1345] Step 6:

[1346] The server stores the recommendation results in a database and sends them to the terminal.

[1347] Displaying matching results

[1348] Step 1:

[1349] The device displays the recommendation results received from the server to the user.

[1350] Step 2:

[1351] Users can browse the recommended artworks and select the ones that interest them.

[1352] Emotion recognition and new recommendations using an emotion engine

[1353] Step 1:

[1354] The emotion engine analyzes the user's facial expressions and behaviors related to the artwork they are viewing, and the device collects data from the user's camera and microphone.

[1355] Step 2:

[1356] The emotion engine analyzes the user's emotions (e.g., joy, interest, confusion, etc.) and sends the results to the server.

[1357] Step 3:

[1358] The server inputs the received emotional data into a generative AI model to generate new recommendations.

[1359] Step 4:

[1360] The generative AI model recommends new artworks based on the emotional data and sends the results back to the server.

[1361] Step 5:

[1362] The server sends new recommendation results to the device and displays them to the user.

[1363] Communication with artists

[1364] Step 1:

[1365] Users enter questions or messages about works that interest them.

[1366] Step 2:

[1367] The device sends questions or messages to the server.

[1368] Step 3:

[1369] The server stores the message and forwards it to the corresponding artist.

[1370] Step 4:

[1371] The artist receives the message through the terminal and types a response.

[1372] Step 5:

[1373] The server receives the response from the artist and sends it to the user's device.

[1374] Step 6:

[1375] The device displays a reply message from the artist to the user.

[1376] Generative AI model provides commentary

[1377] Step 1:

[1378] The user enters a question about the work.

[1379] Step 2:

[1380] The device sends the question to the server.

[1381] Step 3:

[1382] The server inputs the question into a generative AI model.

[1383] Step 4:

[1384] The generative AI model generates an appropriate answer to the question and sends the result back to the server.

[1385] Step 5:

[1386] The server stores the generated answers in a database and sends them to the device.

[1387] Step 6:

[1388] The device displays the answer from the generated AI model to the user.

[1389] Adjusting answers with an emotion engine

[1390] Step 1:

[1391] The emotion engine analyzes the emotions users express in response to their answers (e.g., confusion, understanding, interest, etc.).

[1392] Step 2:

[1393] The emotion engine sends the analysis results to the server.

[1394] Step 3:

[1395] The server inputs emotional data into the generative AI model and adjusts the content of the answer.

[1396] Step 4:

[1397] The generative AI model generates an adjusted answer and sends the result back to the server.

[1398] Step 5:

[1399] The server sends the adjusted answer to the device and displays it to the user.

[1400] This allows users and artists to seamlessly communicate and enjoy artworks with the support of generative AI models and emotion engines.

[1401] Example 2

[1402] 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."

[1403] Previous art matching platforms simply matched user preferences and artist artwork information, making it difficult to optimally match artists by taking into account their emotions and real-time reactions. Furthermore, they lacked the means to provide appropriate and in-depth explanations for questions users had about artworks, limiting communication between artists and users. There is a need to address these issues and improve the user experience.

[1404] 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.

[1405] In this invention, the server includes a means for a user to input their profile and art preferences, a means for an artist to upload artwork information, a means for using a generative AI model to recommend optimal artworks based on the user's preferences and the artist's artwork information, a means for analyzing the user's emotions using an emotion engine and feeding that data back to the generative AI model, and a means for using the generative AI model to generate and display answers to the user's questions. This makes it possible to match optimal artworks taking into account the user's emotions and real-time reactions, and allows the user to enjoy the artworks with a deeper understanding and to communicate smoothly with the artists.

[1406] "Profile" refers to personal information such as basic information, background, and interests of a user or artist.

[1407] "Art preferences" refers to information that indicates a user's preferred art genres, styles, and themes.

[1408] "Work information" refers to information such as images and descriptions of works uploaded by artists.

[1409] A "generative AI model" refers to an artificial intelligence model that recommends the most suitable artwork based on a user's preferences and emotional data.

[1410] "Recommendation" refers to suggesting the most suitable artwork based on the user's preferences and tendencies.

[1411] An "emotion engine" refers to a software and hardware mechanism that analyzes a user's facial expressions and behavioral data and recognizes emotions in real time.

[1412] "Communication" refers to interactions between users and artists through messages.

[1413] "Answer" refers to the appropriate response or explanation provided by a generative AI model in response to a user's question.

[1414] The present invention is a CtoC art matching platform that effectively matches users with artists, and is a system that combines an emotion engine that recognizes user emotions. Specific embodiments of the present invention will be described below.

[1415] User registration and profile creation

[1416] A user accesses the platform's website or app using a device. They enter basic information such as name, email address, password, and art preferences. After the user confirms the information and presses the confirm button, the device sends this information to the server. The server verifies the information and stores it in a database. The server generates a registration completion message and sends it to the device. The device displays a message to the user indicating registration is complete.

[1417] Artist registration and work upload

[1418] The artist uses a device to access the platform and open the artist registration page. They enter their profile (name, biography, etc.) and an image and description of their work. When the artist confirms the information they entered and presses the confirm button, the device sends this information to the server. The server verifies the received information and stores it in a database. The server generates a message indicating registration is complete and sends it to the device. The device displays a message indicating registration is complete to the artist.

[1419] Matching with generative AI models

[1420] When a user accesses a homepage and performs an operation to generate a matching request, the device sends the user's preference data to the server. The server inputs the user's preference data and information about the artist's works stored in a database into the generative AI model. For example, information such as "Japanese painting, cherry blossoms, flowers" is input as a prompt. The generative AI model recommends the most suitable art work based on the user's preferences and returns the results to the server. The server stores the recommendation results in a database and sends them to the device.

[1421] Displaying matching results

[1422] The device displays the recommendations received from the server to the user, who can then browse the recommended artworks and select the ones that interest them.

[1423] Communication with artists

[1424] When a user enters a question or message about a selected artwork, the device sends the message to the server, which stores it and forwards it to the artist. When the artist responds, the server forwards the message to the user's device and displays it.

[1425] Commentary by generative AI model

[1426] The user enters a question about the artwork, and the device sends it to the server. The server then sends the question to the generative AI model, which generates an appropriate answer. The generated answer is then sent back to the server and sent to the device for display to the user, allowing the user to gain a deeper understanding of the artwork.

[1427] Introducing the Emotion Engine

[1428] By combining it with an emotion engine, the system can analyze the user's facial expressions and behavioral data and recognize the user's emotions in real time.

[1429] Enhanced matching with emotion engine

[1430] The emotion engine analyzes the user's emotions and feeds the results back to the generative AI model, which then takes this emotional data into account to make more accurate art recommendations. For example, if a user expresses joy while viewing an artwork, the emotion engine will collect that data and the generative AI model will recommend other artworks that may elicit a similar emotion.

[1431] Personalization with Emotional Data

[1432] The emotion engine uses the user's emotional data to personalize the browsing experience. For example, if the user shows an interested expression while browsing, the system will provide more information and works related to that work.

[1433] Real-time analysis and response adjustment

[1434] The emotion engine analyzes the user's emotions in real time, and the generative AI model adjusts the answer and explanation based on the analysis results. For example, if the user shows confusion in response to a question, the system will generate a simpler explanation and provide it to the user.

[1435] The system allows users and artists to seamlessly communicate and enjoy artwork, supported by generative AI models and emotion engines.

[1436] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1437] System program processing flow

[1438] Step 1: Register and create your profile

[1439] Processing flow

[1440] 1. Input: The user enters their name, email address, password, and art preferences into the device.

[1441] 2. Operation: The device temporarily stores the entered information in memory and displays a confirmation screen.

[1442] 3. Processing:

[1443] After the user confirms the data, he / she presses the confirm button, and the terminal sends the data to the server.

[1444] The server receives the information and validates its format and content.

[1445] 4. Output: After verification, the server saves the user data in the database and generates a registration completion message.

[1446] 5. Operation: A registration completion message is displayed on the device and the user confirms completion.

[1447] Step 2: Register as an artist and upload your work

[1448] Processing flow

[1449] 1. Input: Artists input their profile information, images and descriptions of their work into the terminal.

[1450] 2. Operation: The device temporarily stores the entered information in memory and displays a confirmation screen.

[1451] 3. Processing:

[1452] After the artist confirms, they press the confirm button and the device sends the data to the server.

[1453] The server receives the information and validates its format and content.

[1454] 4. Output: After verification, the server saves the artist data and work information in the database and generates a registration completion message.

[1455] 5. Operation: A registration completion message is displayed on the device and the artist confirms completion.

[1456] Step 3: Matching with a generative AI model

[1457] Processing flow

[1458] 1. Input: The user uses their device to generate a matching request and send art preference data to the server.

[1459] 2. How it works: The server receives the preference data, combines it with information about the artist's work stored in a database, and inputs it into a generative AI model.

[1460] 3. Processing:

[1461] The server inputs prompt sentences such as "Japanese painting, cherry blossoms, flowers" into the generative AI model.

[1462] A generative AI model analyzes the data and recommends the most suitable artwork.

[1463] 4. Output: The server receives the recommendation results from the generative AI model and stores them in a database.

[1464] 5. Operation: The server sends the recommendation results to the terminal and displays them to the user.

[1465] Step 4: Viewing the matching results

[1466] Processing flow

[1467] 1. Input: Recommendation result data from the server.

[1468] 2. Operation: The device displays the recommendation results received from the server to the user.

[1469] 3. Processing:

[1470] The user browses the recommended artworks.

[1471] The user selects the work that interests them.

[1472] 4. Output: Data of selected artworks.

[1473] 5. Action: The user interface displays the selected work.

[1474] Step 5: Communicate with the artist

[1475] Processing flow

[1476] 1. Input: The user types a question or message about the selected work into the terminal.

[1477] 2. Operation: The terminal sends the entered message to the server.

[1478] 3. Processing:

[1479] The server stores the message and forwards it to the appropriate artist.

[1480] The server receives the artist's reply again and forwards it to the user.

[1481] 4. Output: Reply message from the artist.

[1482] 5. Action: A reply message appears on the device and the user confirms it.

[1483] Step 6: Explanation by generative AI model

[1484] Processing flow

[1485] 1. Input: User questions about the work.

[1486] 2. Operation: The device sends the question to the server.

[1487] 3. Processing:

[1488] The server sends the question to the generative AI model.

[1489] The generative AI model analyzes the question and generates an appropriate answer.

[1490] 4. Output: The answer from the generative AI model.

[1491] 5. Action: The answer is sent to the device and displayed to the user.

[1492] Step 7: Implementing the Emotion Engine

[1493] Processing flow

[1494] 1. Input: User facial and behavioral data.

[1495] 2. Action: The device sends this data to the emotion engine.

[1496] 3. Processing:

[1497] The emotion engine analyzes the data and recognizes the user's emotional state in real time.

[1498] The emotion engine feeds the analysis results back to the generative AI model.

[1499] 4. Output: Analysis results based on emotion data.

[1500] 5. How it works: The generative AI model adjusts recommendations and answers based on the emotional data and sends them to the device.

[1501] In this way, the system leverages generative AI models and emotion engines between users and artists to provide seamless communication and a personalized art viewing experience.

[1502] (Application example 2)

[1503] 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."

[1504] While previous art matching platforms made recommendations that took user preferences into account, they lacked personalization based on user emotions, making it difficult to provide the most suitable artworks. Furthermore, they lacked mechanisms for facilitating communication between users and artists and providing appropriate answers to user questions. Furthermore, there was no method for analyzing user emotions in real time and dynamically changing content based on those emotions. This resulted in a poor quality of experience for users.

[1505] 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.

[1506] In this invention, the server includes: a means for a user to input their profile and art preferences; a means for an artist to upload artwork information; a means for using a generative AI model to recommend optimal artworks based on the user's preferences and the artist's artwork information; a means for the user to view the recommended artworks; a means for the user and the artist to communicate through messages; a means for generating and displaying answers to user questions using a generative AI model; a means for analyzing the user's emotions in real time using an emotion analysis engine and feeding the results back to the generative AI model; and a means for further personalizing recommendations based on the user's emotion data. This enables personalized recommendations of optimal artworks based on the user's emotions, facilitates communication between the user and the artist, and makes it possible to provide appropriate answers to user questions in real time.

[1507] "User" means an individual who uses the Art Matching Platform and is interested in, evaluates, or purchases artworks.

[1508] "Artist" means a creator who creates artworks and registers them on the art matching platform to offer them.

[1509] A "profile" is the basic information that users and artists enter when registering on an art matching platform, including information such as their name, background, and preferences.

[1510] "Preferences" means information indicating your preferences and interests regarding artworks that you indicate when registering with the art matching platform.

[1511] "Artwork Information" means data about artworks uploaded by artists to the art matching platform, including images and descriptions.

[1512] A "generative AI model" is a model that uses artificial intelligence technology to recommend the most suitable artwork based on the user's preferences and information about the artist's work.

[1513] "Recommendation" refers to the act of using a generative AI model to recommend the most suitable artwork based on the user's preferences and emotions.

[1514] An "emotion analysis engine" is a system that analyzes a user's facial expressions and behavior and collects emotional data in real time.

[1515] "Real-time" refers to the time when a user receives an immediate response without delay when using the art matching platform.

[1516] "Personalization" refers to the individual customization of artworks and information provided based on the user's individual preferences and emotional data.

[1517] "Communication" refers to the act of users and artists exchanging information with each other through messages and questions.

[1518] An "answer" is the information or explanation generated and provided by a generative AI model in response to a user's question.

[1519] The "system" refers to the entire art matching platform that effectively matches users and artists.

[1520] The system of the present invention includes the following means for effectively matching users with artists.

[1521] User registration and profile creation

[1522] When a user accesses the art matching platform's website or app using their device, they first enter basic information (name, email address, password) and art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.). This information is temporarily stored on the device and, after confirmation, is sent to the server. The server verifies the information, stores it in a database, and sends a message to the user's device confirming registration.

[1523] Artist registration and work upload

[1524] The artist accesses the platform using their device and opens the registration page. They enter their profile (name, biography, etc.) and an image and description of their artwork. This information is temporarily stored on the device and then sent to the server after verification. The server verifies the information, stores it in a database, and sends a message to the artist confirming their registration.

[1525] Introducing a sentiment analysis engine

[1526] As users browse artworks, the device's camera captures their facial expressions, and the emotion analysis engine analyzes the emotional data in real time. This emotional data is then sent to a server and fed back to a generative AI model, enabling personalized recommendations based on the user's emotions.

[1527] Recommendations and Personalization

[1528] The server uses a generative AI model to recommend the most suitable artwork based on the user's preference and emotional data. The recommendation results are sent to the user's device, where the user can view and select. If the user expresses interest in a particular artwork, the generative AI model will provide a detailed description of that artwork.

[1529] Communication and Answer Generation

[1530] When a user inputs a question for an artist, the message is forwarded to the artist via the server. The artist's reply is then displayed on the user's device. The generative AI model also generates an answer to the user's question and displays it on the device.

[1531] System program and processing details

[1532] The system uses Python programming, the image processing library OpenCV, emotion analysis software EmotionEngine, and generative AI models to recommend the most suitable artworks based on the user's emotional and preference data, and to personalize the user experience by analyzing and providing feedback on emotions in real time.

[1533] Specific prompt examples

[1534] Generate the best algorithm to recommend the right artworks based on the user's art preferences and real-time sentiment data.

[1535] Train a model to analyze emotions from user facial expressions using the following datasets: Facial Expression Dataset, Labeled Emotions.

[1536] If the user shows a confused look, create a prompt that generates a simple, easy-to-understand explanation.

[1537] In this way, the present invention provides an innovative system that allows users to better understand and enjoy artworks.

[1538] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1539] Step 1:

[1540] A user uses a device to access the art matching platform's website or app and enter their profile and art preferences. The device displays this information in an input form and temporarily stores it. When the user confirms the information they entered and presses the confirm button, the entered basic information and art work preference data are sent to the server. The server verifies the received information and stores it in a database. A message confirming registration is generated and sent to the device.

[1541] input:

[1542] User profile (name, email address, password), art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.)

[1543] output:

[1544] Saving your user profile and art preferences in our database, and a confirmation message

[1545] Step 2:

[1546] The artist uses a device to access the platform and open the artist registration page. The artist enters their profile (name, biography, etc.) and an image and description of their work. The device displays this information in an input form and temporarily stores it. When the artist confirms the information entered and presses the confirm button, the entered profile and work information is sent to the server. The server verifies the received information and saves it in a database. A message confirming registration is generated and sent to the device.

[1547] input:

[1548] Artist profile (name, career history, etc.), work information (images, descriptions)

[1549] output:

[1550] Save artist profile and work information to the database, and receive a message confirming registration

[1551] Step 3:

[1552] When a user accesses the homepage and performs an operation to generate a matching request, the device sends the user's preference data to the server. The server inputs the user's preference data and information about the artist's works stored in the database into a generative AI model and recommends the most suitable art work. The recommendation results are saved in the database and sent to the device.

[1553] input:

[1554] User preference data, artist work information stored in the database

[1555] output:

[1556] Recommendation results for user devices

[1557] Step 4:

[1558] When a user views an artwork, the device's camera captures the user's facial expressions. The emotion analysis engine analyzes the facial expression data in real time and generates emotional data. This emotional data is sent to a server and fed back to the generative AI model.

[1559] input:

[1560] Captured user facial expression data

[1561] output:

[1562] Analyzed emotion data and feedback to generative AI models

[1563] Step 5:

[1564] The generative AI model again recommends artworks based on the user's preference and emotional data. The server generates these recommendation results and sends them to the user's device. The user then browses the artworks based on the new recommendation results.

[1565] input:

[1566] User preference data, analyzed emotional data

[1567] output:

[1568] Updated recommendation results on the user's device

[1569] Step 6:

[1570] The user enters a question about a particular work and the device sends it to the server, which then passes the question to a generative AI model that generates an appropriate answer, which is then sent back to the server and sent to the device for display to the user.

[1571] input:

[1572] User questions

[1573] output:

[1574] Answers generated by a generative AI model, displayed on the user's device

[1575] Step 7:

[1576] When a user and an artist communicate through messages, the device sends the message to the server, which receives the message, stores it in a database, and then forwards it to the artist. The artist's reply is then sent back to the user's device and displayed.

[1577] input:

[1578] User or artist message

[1579] output:

[1580] Display messages on the other party's device, save message contents to a database

[1581] 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.

[1582] 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.

[1583] 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.

[1584] [Fourth embodiment]

[1585] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1586] 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.

[1587] 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).

[1588] 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.

[1589] 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.

[1590] 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).

[1591] 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. 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.

[1592] 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.

[1593] 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.

[1594] 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.

[1595] 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.

[1596] 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.

[1597] 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."

[1598] The present invention provides a CtoC art matching platform that effectively matches users with artists. Specific embodiments of the present invention are described below.

[1599] User registration and profile creation

[1600] A user accesses the platform's website or app using a device. First, the user enters basic information (name, email address, password), and then enters their art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.). The device temporarily stores this data and displays an input confirmation screen to the user. When the user confirms the input and presses the confirm button, the device sends this information to the server. The server stores the received information in a database, generates a registration completion message, and sends it to the device. The device then displays a message to the user indicating registration is complete.

[1601] Artist registration and work upload

[1602] The artist uses a device to access the platform and open the artist registration page. They enter their profile (name, biography, etc.) and an image and description of their work. The device temporarily stores this information and displays an input confirmation screen to the artist. When the artist confirms the content and presses the confirm button, the device sends this information to the server. The server stores the received information in a database, generates a message stating that registration is complete, and sends it to the device. The device then displays a message to the artist indicating that registration is complete.

[1603] Matching with generative AI models

[1604] When a user accesses a homepage and performs an operation to generate a matching request, the device sends the user's preference data to the server. The server inputs the user's preference data and information about the artist's works stored in a database into a generative AI model. The generative AI model recommends the most suitable art work based on the user's preferences and returns the results to the server. The server stores the received recommendation results in a database and sends them to the device.

[1605] Displaying matching results

[1606] The device displays the recommendation results received from the server to the user, who can then browse the recommended artworks and select the ones that interest them.

[1607] Communication with artists

[1608] When a user enters a question or message about a selected artwork, the device sends the message to the server, which stores it and forwards it to the artist. When the artist responds, the server forwards the message to the user's device and displays it.

[1609] Commentary by generative AI model

[1610] The user enters a question about the artwork, and the device sends it to the server. The server then sends the question to the generative AI model, which generates an appropriate answer. The generated answer is then sent back to the server and sent to the device for display to the user. This allows the user to gain a deeper understanding of the artwork.

[1611] Specific examples

[1612] For example, if a user expresses an interest in "Japanese painting," they can access the platform and register their preferences for "Japanese painting" and "flower" motifs. If an artist uploads a Japanese painting with a cherry blossom theme, the generative AI model will recommend this work to the user based on their preferences. The user can view the work and, if interested, send a question such as, "What is the background to this painting?" The user will receive a reply from the artist and an explanation from the generative AI model, allowing them to gain a deeper understanding of the work.

[1613] The processing flow will be explained below.

[1614] User registration and profile creation

[1615] Step 1:

[1616] A user accesses the platform's website or app using a device.

[1617] Step 2:

[1618] The user enters their basic information (name, email address, password) and art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.). The device displays this information in an input form.

[1619] Step 3:

[1620] The user confirms the information entered and presses the confirm button. The device temporarily stores this information and sends it to the server.

[1621] Step 4:

[1622] The server validates the received information and stores it in a database.

[1623] Step 5:

[1624] The server generates a registration completion message and sends it to the terminal.

[1625] Step 6:

[1626] The device will display a message to the user confirming registration.

[1627] Artist registration and work upload

[1628] Step 1:

[1629] The artist uses the device to access the artist registration page on the platform.

[1630] Step 2:

[1631] The artist enters their profile (name, biography, etc.) and an image and description of their work. The device displays this information in an input form.

[1632] Step 3:

[1633] The artist checks the information entered and presses the confirm button. The device temporarily stores this information and sends it to the server.

[1634] Step 4:

[1635] The server validates the received information and stores it in a database.

[1636] Step 5:

[1637] The server generates a registration completion message and sends it to the terminal.

[1638] Step 6:

[1639] The device will display a message to the artist confirming registration.

[1640] Matching with generative AI models

[1641] Step 1:

[1642] The user accesses the homepage using the device and performs an operation to generate a matching request.

[1643] Step 2:

[1644] The device sends the user's preference data to the server.

[1645] Step 3:

[1646] The server receives user preference data and collects artist work information stored in a database.

[1647] Step 4:

[1648] The server inputs the user's preference data and artist's work information into the generated AI model.

[1649] Step 5:

[1650] The generative AI model recommends the most suitable artwork based on the user's preferences and sends the results back to the server.

[1651] Step 6:

[1652] The server stores the recommendation results in a database and sends them to the terminal.

[1653] Displaying matching results

[1654] Step 1:

[1655] The device displays the recommendation results received from the server to the user.

[1656] Step 2:

[1657] Users can browse the recommended artworks and select the ones that interest them.

[1658] Communication with artists

[1659] Step 1:

[1660] Users enter questions or messages about works that interest them.

[1661] Step 2:

[1662] The device sends questions or messages to the server.

[1663] Step 3:

[1664] The server stores the message and forwards it to the corresponding artist.

[1665] Step 4:

[1666] The artist receives the message through the terminal and types a response.

[1667] Step 5:

[1668] The server receives the response from the artist and sends it to the user's device.

[1669] Step 6:

[1670] The device displays a reply message from the artist to the user.

[1671] Commentary by generative AI model

[1672] Step 1:

[1673] The user enters a question about the work.

[1674] Step 2:

[1675] The device sends the question to the server.

[1676] Step 3:

[1677] The server inputs the question into a generative AI model.

[1678] Step 4:

[1679] The generative AI model generates an appropriate answer to the question and sends the result back to the server.

[1680] Step 5:

[1681] The server stores the generated answers in a database and sends them to the device.

[1682] Step 6:

[1683] The device displays the answer from the generated AI model to the user.

[1684] Example 1

[1685] 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."

[1686] Conventional art matching systems did not effectively match users with artists, making it difficult for users to find artworks that match their tastes and interests. Furthermore, communication between users and artists was not smooth, resulting in an inconsistent understanding of the artwork and the process of purchasing it. Furthermore, the lack of deep understanding and background information about the artwork led to low user satisfaction.

[1687] 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.

[1688] In this invention, the server includes: a means for a user to input basic information and art preferences and send the information to the server; a means for an artist to input a profile and artwork information and send the information to the server; a means for using a generative AI model to recommend the most suitable artwork based on the user's preferences and the artist's artwork information in the database; a means for the user to view the recommended artworks through a terminal; a means for the user to send questions and messages about the artwork selected by the user to the server and forward them from the server to the artist; a means for the artist to forward and display the reply message to the user via the server; and a means for using a generative AI model to generate answers to the user's questions and display the answers on the terminal. This makes it possible to recommend the most suitable artwork based on the user's preferences, and smooths communication between the user and the artist, improving understanding and satisfaction with the artwork and further facilitating the process leading up to purchase.

[1689] "User" means a user who uses the Art Matching Platform to search for and select artworks that suit his or her preferences.

[1690] "Artist" means a creator who uses the art matching platform to upload and showcase their artwork to users.

[1691] "Server" means a computer system that receives, processes, and stores data submitted by users and artists in a database.

[1692] "Device" means a device used by a User or Artist to access the Art Matching Platform, including a smartphone, tablet, PC, etc.

[1693] A "generative AI model" is an artificial intelligence model that recommends the most suitable artwork based on the user's preference data and artist artwork information in the database.

[1694] A "prompt sentence" is a specific input sentence for processing to be executed by a generative AI model, and includes a user question or request.

[1695] A "database" is a digital storage system for systematically storing and managing information about users, artists, and artworks.

[1696] "Recommendation" means that the generative AI model recommends the most suitable artwork based on the user's preferences.

[1697] "Message" means any written or textual communication between a User and an Artist through the Platform.

[1698] An "answer" is the response provided by a generative AI model to a user's question.

[1699] The present invention provides a system that provides a CtoC art matching platform that effectively matches users with artists. Specific embodiments of the system are described below.

[1700] User registration and profile creation

[1701] The user uses a device to access the art matching platform's website or app. The user enters their name, email address, password, and art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.). This information is temporarily stored on the device, and the user then confirms the content. When the user presses the confirm button, the device sends the information to the server. The server stores this information in a database, generates a registration completion message, and sends it again to the device. The device then displays this completion message to the user.

[1702] Artist registration and work upload

[1703] Artists access the platform using a device in the same way, and enter their profile (e.g., name, biography, etc.) and an image and description of their work. The entered information is temporarily saved on the device, and a confirmation screen is displayed. When the artist confirms the content and presses the confirm button, the device sends this information to the server. The information is saved in the database, and a message indicating registration is complete is returned to the device and displayed.

[1704] Matching with generative AI models

[1705] When a user accesses a homepage and generates a matching request, the device sends the user's preference data to the server. The server sends the preference data and information about the artist's works stored in a database to the generative AI model. The generative AI model recommends the most suitable artwork based on the user's preferences and sends the results back to the server. The server stores the recommendation results in a database and sends them to the device.

[1706] Displaying matching results

[1707] The device displays the recommendation results received from the server to the user, who can then browse the recommended artworks and select the ones that interest them.

[1708] Communication with artists

[1709] When a user enters a question or message about a selected artwork, the device sends the message to the server, which stores it and forwards it to the artist. When the artist responds, the server forwards the message to the user's device and displays it.

[1710] Commentary by generative AI model

[1711] The user enters a question about the artwork, and the device sends the question to the server. The server then sends the question to a generative AI model, which generates an appropriate answer. The generated answer is then sent back to the server, sent to the device, and displayed to the user. This allows the user to gain a deeper understanding of the artwork.

[1712] Specific examples

[1713] For example, if a user is interested in "Japanese painting," they can access the platform and register their preferences for "Japanese painting" and "flower" motifs. If an artist uploads a Japanese painting with a cherry blossom theme, the generative AI model will recommend this work to the user based on their preferences. If the user views the work and becomes interested, they can send a question such as, "What is the background to this painting?" The user will receive a reply from the artist and an explanation from the generative AI model, allowing them to gain a deeper understanding of the work.

[1714] Example prompt sentence:

[1715] What is the background to this painting?

[1716] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1717] Step 1: Register and create your profile

[1718] 1.1 A user accesses a website or app using a device. Input: The device's browser or app. Output: A user registration screen. Specific behavior: The web page or app loads and displays a user registration form.

[1719] 1.2 User enters name, email address, password, and art preferences. Input: User's personal information and art preferences. Output: Data temporarily stored on device. What happens: User enters required information into a form and clicks submit.

[1720] 1.3 The device temporarily stores the entered information and displays a confirmation screen for the user. Input: Data entered by the user. Output: Input confirmation screen. Specific operation: The device stores the entered information in temporary storage and displays a confirmation screen.

[1721] 1.4 The user confirms the input and presses the confirm button. Input: Confirmed user information. Output: Data to be sent to the server. Specific operation: The user presses the confirm button and the device sends the data to the server.

[1722] 1.5 The device sends information to the server. Input: User information. Output: Data stored on the server. Specific operation: The device sends data to the server via the Internet.

[1723] 1.6 The server saves the information in the database, generates a registration completion message, and sends it to the terminal. Input: User information. Output: Registration completion message. Specific operation: The server saves the data in the database, generates a completion message, and sends it.

[1724] 1.7 The terminal displays a message to the user indicating that registration is complete. Input: Registration completion message. Output: Notification to the user that registration is complete. Specific operation: The terminal displays the received message to the user.

[1725] Step 2: Register as an artist and upload your work

[1726] 2.1 The artist accesses the platform using a device. Input: Browser or app on the device. Output: Artist registration screen. Specific operation: The artist opens a browser or app and goes to the registration screen.

[1727] 2.2 The artist enters their profile, artwork image, and description. Input: Artist's personal information and artwork information. Output: Data temporarily stored on the device. Specific operation: The artist enters the required information into the form and uploads artwork image and description.

[1728] 2.3 The device temporarily stores the information and displays an input confirmation screen to the artist. Input: Data entered by the artist. Output: Input confirmation screen. Specific operation: The device stores the input information in temporary storage and displays a confirmation screen.

[1729] 2.4 The artist confirms the content and presses the confirm button. Input: Confirmed artist information and work information. Output: Data to be sent to the server. Specific operation: The artist presses the confirm button and the device sends the data to the server.

[1730] 2.5 The device sends information to the server. Input: Artist information. Output: Data stored on the server. Specific operation: The device sends data to the server via the Internet.

[1731] 2.6 The server saves the information in the database, generates a registration completion message, and sends it to the terminal. Input: Artist information. Output: Registration completion message. Specific operation: The server saves the data in the database, generates a completion message, and sends it.

[1732] 2.7 The device displays a message to the artist indicating that registration is complete. Input: Registration completion message. Output: Notification of registration completion to the artist. Specific operation: The device displays the message received to the artist.

[1733] Step 3: Matching with a generative AI model

[1734] 3.1 A user accesses the homepage and performs an operation to generate a matching request. Input: User request. Output: Request data. Specific operation: The user clicks the request button on the homepage.

[1735] 3.2 The terminal sends the user's preference data to the server. Input: User's preference data. Output: Data sent to the server. Specific operation: The terminal sends the preference data to the server.

[1736] 3.3 The server inputs the user's preference data and artist work information stored in the database into the generative AI model. Input: User's preference data and artist work information. Output: Input data to the generative AI model. Specific operation: The server formats this data and sends it to the generative AI model.

[1737] 3.4 The generative AI model recommends the most suitable artwork based on the user's preferences. Input: Preference data and artwork information. Output: Recommendation results. Specific operation: The generative AI model uses an algorithm to identify the most suitable artwork.

[1738] 3.5 The generative AI model returns the recommendation results to the server. Input: Recommendation results. Output: Data to the server. Specific operation: The generative AI model returns the calculation results to the server.

[1739] 3.6 The server saves the recommendation results in a database and sends them to the terminal. Input: Recommendation results. Output: Data to the user terminal. Specific operation: The server saves the results in a database and sends them to the user terminal.

[1740] Step 4: Viewing the matching results

[1741] 4.1 The device displays the recommendation results received from the server to the user. Input: Recommendation results. Output: Data displayed to the user. Specific operation: The device receives the data and displays it on the screen.

[1742] 4.2 The user browses the recommended artworks and selects the artworks that interest them. Input: Display of artwork. Output: Data of selected artwork. Specific operation: The user clicks on the artwork to select it.

[1743] Step 5: Communicate with the artist

[1744] 5.1 The user enters a question or message about the selected artwork. Input: User's message. Output: Message data. Specific behavior: The user enters information into the text input field.

[1745] 5.2 The terminal sends the contents to the server. Input: Message data. Output: Data sent to the server. Specific operation: The terminal sends a message to the server.

[1746] 5.3 The server saves the message and forwards it to the corresponding artist. Input: Message data. Output: Data to be forwarded to the artist. Specific operation: The server saves the message and forwards it to the corresponding artist's device.

[1747] 5.4 When the artist replies, the server transfers the content to the user's device and displays it. Input: Artist's reply. Output: Data displayed to the user. Specific operation: The artist replies, and the server transfers the data.

[1748] Step 6: Explanation by generative AI model

[1749] 6.1 The user enters a question about the work. Input: Question content. Output: Question data. Specific behavior: The user enters a question in the text field.

[1750] 6.2 The device sends the question to the server. Input: Question data. Output: Data sent to the server. Specific operation: The device sends the question data to the server.

[1751] 6.3 The server sends the question to the generative AI model. Input: Question data. Output: Input data to the generative AI model. Specific operation: The server sends the question to the AI ​​model.

[1752] 6.4 The generative AI model generates an appropriate answer and returns it to the server. Input: Question data. Output: Answer content. Specific operation: The generative AI model analyzes the question and generates an answer.

[1753] 6.5 The server sends the generated answer to the terminal and displays it to the user. Input: Answer content. Output: Data to be displayed to the user. Specific operation: The server receives the answer, sends it to the terminal and displays it.

[1754] (Application example 1)

[1755] 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."

[1756] Conventional art matching platforms make it difficult for users to view artworks in physical spaces such as their homes and obtain detailed information about them. They also have limited methods for recommending the most suitable artworks to users in real time. Furthermore, answers to questions about artworks may not be provided quickly, resulting in low user satisfaction. To solve these problems, a system that allows users to have a more interactive and fulfilling art experience is needed.

[1757] 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.

[1758] In this invention, the server includes: a means for a user to input a profile and art preferences; a means for an artist to upload artwork information; a means for using a generative AI model to recommend optimal artworks based on the user's preferences and the artist's artwork information; a means for the user to view the recommended artworks; a means for the user and the artist to communicate through messages; a means for using a generative AI model to generate and display answers to the user's questions; and a means for installing an application for smart glasses that allows the user to view artworks in a virtual environment. This allows the user to experience optimal artworks in a virtual environment in real time and quickly receive detailed explanations and interact with the artist.

[1759] "User" refers to ordinary consumers who use the art matching platform to view, purchase, and appreciate artworks.

[1760] "Artist" refers to a creator who uploads their own work to the art matching platform and sells or exhibits it to users.

[1761] "Profile" refers to the collection of personal information that a user creates by entering basic information about themselves and their artistic preferences.

[1762] "Art preferences" refers to information that indicates the types, styles, motifs, etc. of artworks that a user prefers.

[1763] "Artwork information" refers to information such as images, descriptions, and categories of artworks uploaded by artists.

[1764] A "generative AI model" is a machine learning model that uses artificial intelligence to recommend the most suitable artworks or generate answers based on user preferences and questions.

[1765] "Recommendation" refers to the act of using a generative AI model to recommend the most suitable artwork based on the user's preferences.

[1766] A "virtual environment" is a virtual space generated by computer technology that users can experience through devices such as smart glasses.

[1767] "Smart glasses" refers to a wearable device that allows users to experience virtual and augmented reality environments.

[1768] "Application" refers to a software program that provides a specific function or service, and in this invention refers to a program for the platform that is installed on the smart glasses.

[1769] The following describes an embodiment of the present invention: The system consists of a terminal used by a user, a terminal used by an artist, a server containing a database, a generative AI model, and smart glasses for experiencing the virtual environment.

[1770] User registration and profile creation

[1771] When a user accesses the platform using a device, they enter basic information (name, email address, password) and their art preferences (e.g., Japanese painting, abstract painting, etc.). This information is temporarily stored on the device, and a confirmation screen is displayed. Once the user confirms the information and presses the confirm button, the information is sent to the server and stored in the database.

[1772] Artist registration and work upload

[1773] Artists access the platform using their devices and enter their profile (name, biography, etc.) and an image and description of their work. This information is temporarily stored on the device, and a confirmation screen is displayed. Once the artist confirms the information and presses the confirm button, the information is sent to the server and saved in the database.

[1774] Matching with generative AI models

[1775] When a user accesses a homepage and generates a matching request, the device sends the user's preference data to the server. The server inputs the user's preference data and artist artwork information stored in a database into a generative AI model. The generative AI model generates a recommendation result for the most suitable artwork based on the user's preferences and returns it to the server. The recommendation result is stored in a database by the server and sent to the device.

[1776] Displaying matching results

[1777] The device receives recommendations from the server and displays them to the user. The user can then browse the recommended artworks and select the ones they are interested in. Using the smart glasses, the user can experience the artworks in a realistic virtual environment.

[1778] Communication with artists

[1779] When a user types a question or message about a selected artwork, the device sends it to the server, which stores the message and forwards it to the artist. When the artist responds, the server forwards the reply to the user's device and displays it.

[1780] Commentary by generative AI model

[1781] The user enters a question about the artwork, and the device sends it to the server. The server then sends the question to the generative AI model, which generates an appropriate answer. The generated answer is then sent back to the server and sent to the device for display to the user, allowing the user to gain a deeper understanding of the artwork.

[1782] Specific examples

[1783] For example, if a user expresses an interest in "Japanese painting," they can access the platform and register their preferences for "Japanese painting" and "floral motifs." If an artist uploads a Japanese painting with a cherry blossom theme, the generative AI model will recommend this work based on the user's preferences. The user can view this work in a virtual environment using smart glasses and send a question such as, "What is the background of this painting?"

[1784] Prompt Sentence Examples

[1785] 1. Recommendations based on user preferences:

[1786] Users are interested in "Japanese paintings" and "floral motifs." We recommend the most suitable artworks.

[1787] 2. Artwork Questions and Answers:

[1788] Artwork ID 101 Question: "What is the background to this piece?" Please explain.

[1789] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1790] Step 1:

[1791] A user accesses the platform using a device and enters basic information (name, email address, password) and art preferences. This input data is temporarily stored on the device, and an input confirmation screen is displayed. When the user confirms the content and presses the confirm button, the device sends this information to the server. The server stores the received information in a database, generates a message indicating registration is complete, and sends it to the device. The device then displays a message indicating registration is complete to the user.

[1792] Step 2:

[1793] Artists access the platform using a terminal and enter their profile and work information (images and descriptions). This input data is temporarily stored on the terminal, and an input confirmation screen is displayed. When the artist confirms the content and presses the confirm button, the terminal sends this information to the server. The server stores the received information in a database, generates a message indicating registration is complete, and sends it to the terminal. The terminal then displays a message indicating registration is complete to the artist.

[1794] Step 3:

[1795] A user accesses a homepage and generates a matching request. The device sends the user's preference data to the server. The server retrieves the user's preference data and information about the artist's works stored in a database and inputs this into the generative AI model. The generative AI model recommends the most suitable artwork based on the user's preferences and returns the results to the server. The server stores the received recommendation results in a database and sends them to the device. The device displays the recommendation results to the user. Input: User's preference data and information about the artist's works. Output: Recommendation results. Data processing: Recommendation processing by the generative AI model.

[1796] Step 4:

[1797] The user selects a recommended artwork and views it in a virtual environment using the smart glasses. The device transfers the recommendation results received from the server to the smart glasses, and the user experiences the artwork in the virtual environment. Input: Recommendation results. Output: Display of artwork in the virtual environment. Data processing: Data transfer to the smart glasses.

[1798] Step 5:

[1799] The user inputs a question or message about the artwork. The device sends the content to the server. The server saves the message and forwards it to the appropriate artist. When the artist replies, the server forwards the content to the user's device and displays it. Input: Question or message content. Output: Reply from the artist. Data processing: Message forwarding process.

[1800] Step 6:

[1801] The user enters a question about the work, and the device sends the content to the server. The server sends the question content to the generative AI model, which generates an appropriate answer. The generated answer is sent back to the server, then sent to the device and displayed to the user. Input: Question content. Output: Answer generated by the generative AI model. Data processing: Answer generation by the generative AI model.

[1802] 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.

[1803] The present invention provides a CtoC art matching platform that effectively matches users with artists, and a system that combines an emotion engine that recognizes user emotions. Specific embodiments of the present invention are described below.

[1804] User registration and profile creation

[1805] A user accesses the platform's website or app using a device. First, the user enters basic information (name, email address, password) and then enters their art preferences (e.g., Japanese painting, abstract art, floral motifs, etc.). The device displays this data in an input form and temporarily stores it. When the user confirms the information entered and presses the confirm button, the device sends this information to the server. The server verifies the received information and stores it in a database. The server generates a message indicating registration is complete and sends it to the device. The device then displays a message indicating registration is complete to the user.

[1806] Artist registration and work upload

[1807] The artist uses a terminal to access the platform and open the artist registration page. They enter their profile (name, biography, etc.) and an image and description of their work. The terminal displays this information in an input form and temporarily stores it. When the artist confirms the information they entered and presses the confirm button, the terminal sends this information to the server. The server verifies the received information and stores it in a database. The server generates a message indicating registration is complete and sends it to the terminal. The terminal displays a message indicating registration is complete to the artist.

[1808] Matching with generative AI models

[1809] When a user accesses a homepage and performs an operation to generate a matching request, the device sends the user's preference data to the server. The server inputs the user's preference data and information about the artist's works stored in a database into a generative AI model. The generative AI model recommends the most suitable art piece based on the user's preferences and returns the results to the server. The server stores the recommendation results in a database and sends them to the device.

[1810] Displaying matching results

[1811] The device displays the recommendations received from the server to the user, who can then browse the recommended artworks and select the ones that interest them.

[1812] Communication with artists

[1813] When a user enters a question or message about a selected artwork, the device sends the message to the server, which stores it and forwards it to the artist. When the artist responds, the server forwards the message to the user's device and displays it.

[1814] Commentary by generative AI model

[1815] The user enters a question about the artwork, and the device sends it to the server. The server then sends the question to the generative AI model, which generates an appropriate answer. The generated answer is then sent back to the server and sent to the device for display to the user. This allows the user to gain a deeper understanding of the artwork.

[1816] Introducing the Emotion Engine

[1817] By combining the emotion engine, the system can analyze the user's facial expressions and behavior data and recognize the user's emotions in real time. Specific embodiments of this will be described below.

[1818] Enhanced matching with emotion engine

[1819] The emotion engine analyzes the user's emotions and feeds the results back to the generative AI model, which then takes this emotional data into account to make more accurate art recommendations. For example, if a user expresses joy while viewing an artwork, the emotion engine collects that data and the generative AI model recommends other artworks that may elicit a similar emotion.

[1820] Personalization with Emotional Data

[1821] The emotion engine uses the user's emotional data to personalize the user's browsing experience. For example, if the user shows an interested expression while browsing, the system will provide more information and works related to that work.

[1822] Real-time analysis and response adjustment

[1823] The emotion engine analyzes the user's emotions in real time, and the generative AI model adjusts the answer and explanation based on the analysis results. For example, if the user shows confusion in response to a question, the system will generate a simpler explanation and provide it to the user.

[1824] Specific examples

[1825] For example, if a user expresses an interest in "Japanese painting," they can access the platform and register their preferences for "Japanese painting" and "flower" motifs. If an artist uploads a Japanese painting with a cherry blossom theme, the generative AI model will recommend this work to the user based on their preferences. If the user shows a happy expression while viewing a work, the emotion engine will collect that information and the generative AI model will recommend more related works. If the user sends a question about a work, such as "What is the background to this painting?", the generative AI model will generate an appropriate answer to the question and present it to the user. If the user shows a confused expression in response to the answer, the emotion engine will analyze that information, and the generative AI model will be able to generate and provide a simpler, more understandable answer.

[1826] In this way, the present invention provides a system that allows users and artists to seamlessly communicate and enjoy artworks with the support of generative AI models and emotion engines.

[1827] The processing flow will be explained below.

[1828] Processing steps of a system that combines an emotion engine and a generative AI model

[1829] User registration and profile creation

[1830] Step 1:

[1831] A user accesses the platform's website or app using a device.

[1832] Step 2:

[1833] The user enters their basic information (name, email address, password) and art preferences (e.g., Japanese painting, abstract painting, floral motifs, etc.). The device displays this information in an input form.

[1834] Step 3:

[1835] The user confirms the information entered and presses the confirm button. The device temporarily stores this information and sends it to the server.

[1836] Step 4:

[1837] The server validates the received information and stores it in a database.

[1838] Step 5:

[1839] The server generates a registration completion message and sends it to the terminal.

[1840] Step 6:

[1841] The device will display a message to the user confirming registration.

[1842] Artist registration and work upload

[1843] Step 1:

[1844] The artist uses the device to access the artist registration page on the platform.

[1845] Step 2:

[1846] The artist enters their profile (name, biography, etc.) and an image and description of their work. The device displays this information in an input form.

[1847] Step 3:

[1848] The artist checks the information entered and presses the confirm button. The device temporarily stores this information and sends it to the server.

[1849] Step 4:

[1850] The server validates the received information and stores it in a database.

[1851] Step 5:

[1852] The server generates a registration completion message and sends it to the terminal.

[1853] Step 6:

[1854] The device will display a message to the artist confirming registration.

[1855] Matching with generative AI models

[1856] Step 1:

[1857] The user accesses the homepage using the device and performs an operation to generate a matching request.

[1858] Step 2:

[1859] The device sends the user's preference data to the server.

[1860] Step 3:

[1861] The server receives user preference data and collects artist work information stored in a database.

[1862] Step 4:

[1863] The server inputs the user's preference data and artist's work information into the generated AI model.

[1864] Step 5:

[1865] The generative AI model recommends the most suitable artwork based on the user's preferences and sends the results back to the server.

[1866] Step 6:

[1867] The server stores the recommendation results in a database and sends them to the terminal.

[1868] Displaying matching results

[1869] Step 1:

[1870] The device displays the recommendation results received from the server to the user.

[1871] Step 2:

[1872] Users can browse the recommended artworks and select the ones that interest them.

[1873] Emotion recognition and new recommendations using an emotion engine

[1874] Step 1:

[1875] The emotion engine analyzes the user's facial expressions and behaviors related to the artwork they are viewing, and the device collects data from the user's camera and microphone.

[1876] Step 2:

[1877] The emotion engine analyzes the user's emotions (e.g., joy, interest, confusion, etc.) and sends the results to the server.

[1878] Step 3:

[1879] The server inputs the received emotional data into a generative AI model to generate new recommendations.

[1880] Step 4:

[1881] The generative AI model recommends new artworks based on the emotional data and sends the results back to the server.

[1882] Step 5:

[1883] The server sends new recommendation results to the device and displays them to the user.

[1884] Communication with artists

[1885] Step 1:

[1886] Users enter questions or messages about works that interest them.

[1887] Step 2:

[1888] The device sends questions or messages to the server.

[1889] Step 3:

[1890] The server stores the message and forwards it to the corresponding artist.

[1891] Step 4:

[1892] The artist receives the message through the terminal and types a response.

[1893] Step 5:

[1894] The server receives the response from the artist and sends it to the user's device.

[1895] Step 6:

[1896] The device displays a reply message from the artist to the user.

[1897] Generative AI model provides commentary

[1898] Step 1:

[1899] The user enters a question about the work.

[1900] Step 2:

[1901] The device sends the question to the server.

[1902] Step 3:

[1903] The server inputs the question into a generative AI model.

[1904] Step 4:

[1905] The generative AI model generates an appropriate answer to the question and sends the result back to the server.

[1906] Step 5:

[1907] The server stores the generated answers in a database and sends them to the device.

[1908] Step 6:

[1909] The device displays the answer from the generated AI model to the user.

[1910] Adjusting answers with an emotion engine

[1911] Step 1:

[1912] The emotion engine analyzes the emotions users express in response to their answers (e.g., confusion, understanding, interest, etc.).

[1913] Step 2:

[1914] The emotion engine sends the analysis results to the server.

[1915] Step 3:

[1916] The server inputs emotional data into the generative AI model and adjusts the content of the answer.

[1917] Step 4:

[1918] The generative AI model generates an adjusted answer and sends the result back to the server.

[1919] Step 5:

[1920] The server sends the adjusted answer to the device and displays it to the user.

[1921] This allows users and artists to seamlessly communicate and enjoy artworks with the support of generative AI models and emotion engines.

[1922] Example 2

[1923] 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."

[1924] Previous art matching platforms simply matched user preferences and artist artwork information, making it difficult to optimally match artists by taking into account their emotions and real-time reactions. Furthermore, they lacked the means to provide appropriate and in-depth explanations for questions users had about artworks, limiting communication between artists and users. There is a need to address these issues and improve the user experience.

[1925] 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.

[1926] In this invention, the server includes a means for a user to input their profile and art preferences, a means for an artist to upload artwork information, a means for using a generative AI model to recommend optimal artworks based on the user's preferences and the artist's artwork information, a means for analyzing the user's emotions using an emotion engine and feeding that data back to the generative AI model, and a means for using the generative AI model to generate and display answers to the user's questions. This makes it possible to match optimal artworks taking into account the user's emotions and real-time reactions, and allows the user to enjoy the artworks with a deeper understanding and to communicate smoothly with the artists.

[1927] "Profile" refers to personal information such as basic information, background, and interests of a user or artist.

[1928] "Art preferences" refers to information that indicates a user's preferred art genres, styles, and themes.

[1929] "Work information" refers to information such as images and descriptions of works uploaded by artists.

[1930] A "generative AI model" refers to an artificial intelligence model that recommends the most suitable artwork based on a user's preferences and emotional data.

[1931] "Recommendation" refers to suggesting the most suitable artwork based on the user's preferences and tendencies.

[1932] An "emotion engine" refers to a software and hardware mechanism that analyzes a user's facial expressions and behavioral data and recognizes emotions in real time.

[1933] "Communication" refers to interactions between users and artists through messages.

[1934] "Answer" refers to the appropriate response or explanation provided by a generative AI model in response to a user's question.

[1935] The present invention is a CtoC art matching platform that effectively matches users with artists, and is a system that combines an emotion engine that recognizes user emotions. Specific embodiments of the present invention will be described below.

[1936] User registration and profile creation

[1937] A user accesses the platform's website or app using a device. They enter basic information such as name, email address, password, and art preferences. After the user confirms the information and presses the confirm button, the device sends this information to the server. The server verifies the information and stores it in a database. The server generates a registration completion message and sends it to the device. The device displays a message to the user indicating registration is complete.

[1938] Artist registration and work upload

[1939] The artist uses a device to access the platform and open the artist registration page. They enter their profile (name, biography, etc.) and an image and description of their work. When the artist confirms the information they entered and presses the confirm button, the device sends this information to the server. The server verifies the received information and stores it in a database. The server generates a message indicating registration is complete and sends it to the device. The device displays a message indicating registration is complete to the artist.

[1940] Matching with generative AI models

[1941] When a user accesses a homepage and performs an operation to generate a matching request, the device sends the user's preference data to the server. The server inputs the user's preference data and information about the artist's works stored in a database into the generative AI model. For example, information such as "Japanese painting, cherry blossoms, flowers" is input as a prompt. The generative AI model recommends the most suitable art work based on the user's preferences and returns the results to the server. The server stores the recommendation results in a database and sends them to the device.

[1942] Displaying matching results

[1943] The device displays the recommendations received from the server to the user, who can then browse the recommended artworks and select the ones that interest them.

[1944] Communication with artists

[1945] When a user enters a question or message about a selected artwork, the device sends the message to the server, which stores it and forwards it to the artist. When the artist responds, the server forwards the message to the user's device and displays it.

[1946] Commentary by generative AI model

[1947] The user enters a question about the artwork, and the device sends it to the server. The server then sends the question to the generative AI model, which generates an appropriate answer. The generated answer is then sent back to the server and sent to the device for display to the user, allowing the user to gain a deeper understanding of the artwork.

[1948] Introducing the Emotion Engine

[1949] By combining it with an emotion engine, the system can analyze the user's facial expressions and behavioral data and recognize the user's emotions in real time.

[1950] Enhanced matching with emotion engine

[1951] The emotion engine analyzes the user's emotions and feeds the results back to the generative AI model, which then takes this emotional data into account to make more accurate art recommendations. For example, if a user expresses joy while viewing an artwork, the emotion engine will collect that data and the generative AI model will recommend other artworks that may elicit a similar emotion.

[1952] Personalization with Emotional Data

[1953] The emotion engine uses the user's emotional data to personalize the browsing experience. For example, if the user shows an interested expression while browsing, the system will provide more information and works related to that work.

[1954] Real-time analysis and response adjustment

[1955] The emotion engine analyzes the user's emotions in real time, and the generative AI model adjusts the answer and explanation based on the analysis results. For example, if the user shows confusion in response to a question, the system will generate a simpler explanation and provide it to the user.

[1956] The system allows users and artists to seamlessly communicate and enjoy artwork, supported by generative AI models and emotion engines.

[1957] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1958] System program processing flow

[1959] Step 1: Register and create your profile

[1960] Processing flow

[1961] 1. Input: The user enters their name, email address, password, and art preferences into the device.

[1962] 2. Operation: The device temporarily stores the entered information in memory and displays a confirmation screen.

[1963] 3. Processing:

[1964] After the user confirms the data, he / she presses the confirm button, and the terminal sends the data to the server.

[1965] The server receives the information and validates its format and content.

[1966] 4. Output: After verification, the server saves the user data in the database and generates a registration completion message.

[1967] 5. Operation: A registration completion message is displayed on the device and the user confirms completion.

[1968] Step 2: Register as an artist and upload your work

[1969] Processing flow

[1970] 1. Input: Artists input their profile information, images and descriptions of their work into the terminal.

[1971] 2. Operation: The device temporarily stores the entered information in memory and displays a confirmation screen.

[1972] 3. Processing:

[1973] After the artist confirms, they press the confirm button and the device sends the data to the server.

[1974] The server receives the information and validates its format and content.

[1975] 4. Output: After verification, the server saves the artist data and work information in the database and generates a registration completion message.

[1976] 5. Operation: A registration completion message is displayed on the device and the artist confirms completion.

[1977] Step 3: Matching with a generative AI model

[1978] Processing flow

[1979] 1. Input: The user uses their device to generate a matching request and send art preference data to the server.

[1980] 2. How it works: The server receives the preference data, combines it with information about the artist's work stored in a database, and inputs it into a generative AI model.

[1981] 3. Processing:

[1982] The server inputs prompt sentences such as "Japanese painting, cherry blossoms, flowers" into the generative AI model.

[1983] A generative AI model analyzes the data and recommends the most suitable artwork.

[1984] 4. Output: The server receives the recommendation results from the generative AI model and stores them in a database.

[1985] 5. Operation: The server sends the recommendation results to the terminal and displays them to the user.

[1986] Step 4: Viewing the matching results

[1987] Processing flow

[1988] 1. Input: Recommendation result data from the server.

[1989] 2. Operation: The device displays the recommendation results received from the server to the user.

[1990] 3. Processing:

[1991] The user browses the recommended artworks.

[1992] The user selects the work that interests them.

[1993] 4. Output: Data of selected artworks.

[1994] 5. Action: The user interface displays the selected work.

[1995] Step 5: Communicate with the artist

[1996] Processing flow

[1997] 1. Input: The user types a question or message about the selected work into the terminal.

[1998] 2. Operation: The terminal sends the entered message to the server.

[1999] 3. Processing:

[2000] The server stores the message and forwards it to the appropriate artist.

[2001] The server receives the artist's reply again and forwards it to the user.

[2002] 4. Output: Reply message from the artist.

[2003] 5. Action: A reply message appears on the device and the user confirms it.

[2004] Step 6: Explanation by gene...

Claims

1. a means for users to enter their profile and art preferences; A way for artists to upload information about their works, Using a generative AI model, we can recommend the most suitable artworks based on the user's preferences and the artist's artwork information. A way for users to view recommended artworks, A means for users and artists to communicate through messages, A system including means for generating and displaying answers to user questions using a generative AI model.

2. 10. The system of claim 1, further comprising means for the generative AI model to provide a detailed description of a recommended artwork when the user expresses interest in the artwork.

3. 2. The system according to claim 1, further comprising means for attaching a commentary on the creative intent and technique of the work to the work uploaded by the artist.

Images