system

Abstract

A system is provided.SOLUTION: A system comprising: means for inputting information about a work of art; means for transmitting the input information to a server; means for analyzing the received information and generating an attractive sentence using a generative AI model; means for generating SNS sending strategies; means for returning the generated sentence and SNS strategies to terminals; means for providing additional images and moving images of the work of art; and means for generating a scenario of a work introduction video based on the provided materials.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] In recent years, the number of people creating art and music has increased, but many artists struggle with how to effectively communicate the concept of their work. As a result, good works often end up being buried due to insufficient presentation on social media. The objective of this invention is to solve this problem and provide a way for artists to appeal to a diverse audience with the appeal of their work. [Means for solving the problem]

[0005] The present invention is a system that includes the following means: First, a means for inputting information about an artwork is provided. Next, a means for sending the input information to a server is provided. On the server side, a means for analyzing the received information and generating attractive text using a generative AI model is provided. A means for generating a social media communication strategy is also provided. A means for returning the generated text and social media strategy to the terminal is provided. Furthermore, a means for providing additional images and videos of the artwork and a means for generating a scenario for a video introducing the artwork based on the provided materials is provided, thereby providing a system that comprehensively supports artists' presentations.

[0006] An "artwork" is a work created using visual or aural means of expression, including painting, sculpture, digital art, and musical compositions.

[0007] "Means for inputting information" means an interface through which an artist can input data relating to their work into the system.

[0008] "Server" refers to a computer system for receiving and processing input information.

[0009] A "generative AI model" is an artificial intelligence technology that uses natural language processing technology and machine learning algorithms to analyze input information and generate sentences and strategies.

[0010] "Attractive writing" refers to text that appeals to readers and can effectively convey the concept and characteristics of an artwork.

[0011] "Social media strategy" refers to a strategy for effectively disseminating artwork on social media, including posting times, hashtags, and methods of approaching the target audience.

[0012] "Means for sending back" refers to a communication means for sending back generated information from the server to the terminal.

[0013] "Additional Images and Video" means high-resolution images and / or video footage used to communicate details about the artwork.

[0014] An "introduction video" is a short video that visually conveys the overview and appeal of an art work.

[0015] "Means for generating a scenario" means a technology for automatically creating the content structure of a work introduction video based on the provided materials. [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 relates to a presentation support system that maximizes the appeal of artworks. Specific embodiments of this system will be described below.

[0038] System Overview

[0039] This system inputs information about artworks and uses a generative AI model based on that information to generate various presentation materials (text, strategies, video scenarios, etc.) The system provides comprehensive support for artists to effectively promote their works and appeal to a large audience.

[0040] Program processing

[0041] Enter and submit information

[0042] Users input detailed information about their artwork, such as the title, concept, techniques used, background story, etc. This input data is sent to the server via the terminal.

[0043] Receiving and analyzing information

[0044] The server analyzes the information received from the device, which includes formatting the received data (e.g., JSON format) and preprocessing it for input into the generative AI model.

[0045] Running generative AI models

[0046] The server inputs the preprocessed information into a generative AI model to generate compelling presentation text. This AI model utilizes natural language processing technology to generate text that effectively expresses the concept and value of the work.

[0047] Creating a social media strategy

[0048] The server then generates an effective social media strategy along with the generated text, including suggestions on the best time to post, hashtags to use, and how to approach the target audience.

[0049] Returning and displaying information

[0050] The generated text and SNS strategy are sent back from the server to the terminal, and the terminal displays the received information to the user.

[0051] Providing additional materials and generating video scenarios

[0052] Users can provide more detailed information about the artwork (such as high-resolution images or videos of the creation process). These additional materials are sent via the device to the server, which then uses a generative AI model to generate a scenario for the artwork's introductory video.

[0053] Video Production and Publishing

[0054] Based on the generated scenario, the user uses video editing software to create an introductory video for the work, and then posts the completed text and video on a social networking site, following the communication strategy suggested by the server.

[0055] Specific examples

[0056] A user creates a digital artwork called "Memory of a Psychedelic Dream" and inputs the information. The device sends the information to a server, which uses a generative AI model to generate text like this: "This digital artwork, 'Memory of a Psychedelic Dream,' vividly depicts a surrealist dreamscape. Its vibrant colors and meticulous detail transport the viewer into a fantastical world."

[0057] Additionally, as a social media strategy, users are suggested to use the hashtag DigitalArt Surrealism ArtOfTheDay when posting on Instagram and post at 6pm. Users will follow this and post, resulting in increased engagement.

[0058] High-resolution images and videos of the production process are provided as additional materials, and the server generates a video scenario based on these. Users can create a video according to the generated scenario and post it on social media, resulting in a visually appealing presentation.

[0059] As described above, the system of the present invention allows artists to effectively promote their own works and maximize their appeal.

[0060] The processing flow will be explained below.

[0061] Step 1:

[0062] Users enter detailed information about their artwork, including the title, concept, techniques used, and background story.

[0063] Example: Enter the title of the work as "Psychedelic Dream Memory", the concept as "A depiction of a dream memory influenced by surrealism", and the technique used as "Digital Painting".

[0064] Step 2:

[0065] The device sends the entered information to the server, where the data is sent in a structured data format such as JSON.

[0066] Step 3:

[0067] The server receives the artwork information sent from the device, formats the received data, and pre-processes it for analysis, including text cleaning and conversion.

[0068] Step 4:

[0069] The server inputs the preprocessed information into a generative AI model to generate compelling sentences, which then use natural language processing techniques to generate sentences that effectively express the concept and value of the work.

[0070] Example: Generates the following sentence: "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts a surrealist dreamscape. The vibrant colors and meticulous details transport the viewer into a fantastical world."

[0071] Step 5:

[0072] Based on the generated text, the server generates an effective social media posting strategy, including the best time to post, hashtags to use, and how to approach the target audience.

[0073] For example, it suggests that the best time to post on Instagram is 6pm and that you use the hashtag DigitalArt Surrealism.

[0074] Step 6:

[0075] The server sends the generated text and transmission strategy back to the terminal, which receives it and displays it to the user.

[0076] Step 7:

[0077] Users upload additional materials, such as high-resolution images of artworks and videos of the creation process, to their devices. The devices then send these materials back to the server. The material formats are image files and video files.

[0078] Step 8:

[0079] Based on the additional materials received, the server uses a generative AI model to generate a scenario for an introductory video, which begins with a zoom-in of the finished work, a time-lapse of the production process, and finally displays the work's title and artist's name.

[0080] Step 9:

[0081] Based on the provided scenario, users create an introductory video using video editing software, which includes adding text and effects.

[0082] Step 10:

[0083] The user posts the completed text and video to the SNS and follows the communication strategy suggested by the server.

[0084] For example, you could post a video on Instagram with the following text: "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surrealist landscape of a dream." Use appropriate hashtags and time your post to increase engagement and reach a larger audience.

[0085] As described above, the system of the present invention allows artists to effectively promote their own works and maximize their appeal.

[0086] Example 1

[0087] 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."

[0088] In today's world, artists need advanced presentation skills to effectively promote their work and reach a wide audience. However, many artists lack the technical support and knowledge of social media strategies, making it difficult to maximize the appeal of their work. Furthermore, creating visual presentations using high-resolution images and videos is difficult, creating a demand for technology that can efficiently handle these tasks.

[0089] 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.

[0090] In this invention, the server includes means for inputting information about the artwork, means for transmitting the input information to an information processing device, means for analyzing the received information and generating attractive text using a generative AI model, means for generating a communication strategy for a social network service, means for returning the generated text and communication strategy to the terminal, means for providing additional information about the artwork, and means for generating a scenario for an artwork introduction video based on the provided materials. This allows artists to maximize the appeal of their artwork and effectively communicate it, even without advanced technology.

[0091] "Artwork" is a general term for works of visual art, such as paintings, sculptures, and digital art.

[0092] "Information processing device" refers to a computer or server that receives and analyzes data, executes generative AI models, and so on.

[0093] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to generate sentences based on input information.

[0094] A "social network service" is an online platform that allows users to create personal profiles and share information with other users.

[0095] "Terminal" refers to a device, such as a computer, smartphone, or tablet, that a user uses to input information and receive generated data.

[0096] A "structured data format" is a format that organizes data elements hierarchically according to rules such as JSON and XML.

[0097] "Additional Information" refers to detailed material about the artwork, such as high-resolution images, video, or audio.

[0098] "Scenario" refers to the script or screenplay of a video or presentation created by a generative AI model.

[0099] "Dissemination strategy" refers to proposals that include plans and methods for effectively disseminating information on social networking services.

[0100] The present invention relates to a presentation support system that maximizes the appeal of artworks. Specific embodiments of this system will be described in detail below.

[0101] System Overview

[0102] This system allows users to input information about their artworks, and then uses that information to generate various presentation materials (text, social media strategies, video scenarios, etc.) using a generative AI model. This system allows users to effectively communicate the appeal of their artworks and reach a large audience.

[0103] Hardware and Software

[0104] The main hardware used to implement the system includes terminals (computers, smartphones, tablets, etc. where users input information) and servers (information processing devices that receive and analyze information and run generative AI models).

[0105] The software includes a web interface and mobile application for users to input information, as well as analysis programs and generative AI models (e.g., GPT-4 (registered trademark)) that run on the server side, and additional software for generating social media strategies on the server side.

[0106] Enter and submit information

[0107] Users input detailed information about their artwork, including the title, concept, techniques used, background story, etc. This input data is converted into JSON format and sent to the server via the device.

[0108] Receiving and analyzing information

[0109] The server analyzes the information received from the device. Specifically, it parses the received JSON data, extracts the necessary fields, and formats them. As preprocessing, it also converts the data into a format that is easy for the generative AI model to understand.

[0110] Running generative AI models

[0111] The server inputs the preprocessed information into a generative AI model to generate compelling presentation text that effectively expresses the concept and value of the artwork. This generative AI model utilizes natural language processing technology.

[0112] Creating a social media strategy

[0113] At the same time as generating the text, the server also generates a social media distribution strategy. Specifically, it generates suggestions for the appropriate posting time, hashtags to use, how to approach the target audience, etc. This strategy generation is also done using a generative AI model.

[0114] Returning and displaying information

[0115] The generated text and SNS strategy are sent back from the server to the terminal, and the terminal displays the received information to the user. In the user interface, the generated text is displayed in a text box, and the SNS strategy is displayed in another box.

[0116] Providing additional materials and generating video scenarios

[0117] Users can provide more detailed information about the artwork, such as high-resolution images and videos of the creation process. These additional materials are sent to the server via the device, and the server uses a generative AI model to generate a scenario for the artwork introduction video based on the received materials. This process includes file analysis and prompt generation.

[0118] Video Production and Publishing

[0119] Based on the generated scenario, users create an introductory video for their work using video editing software (e.g., Adobe Premiere Pro). Using the completed text and video, they post the video on social media and follow the communication strategy suggested by the server. This increases engagement and maximizes the appeal of their work.

[0120] Prompt Sentence Examples

[0121] Here are some example prompts that users can enter into a generative AI model:

[0122] "Generate a sentence that effectively conveys the concept and appeal of my work, 'Memories of a Psychedelic Dream'."

[0123] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0124] Step 1:

[0125] The user enters information about the artwork.

[0126] Information entered includes the title of the work, concept, techniques used, background story, etc.

[0127] This information is formatted as JSON data.

[0128] The output is structured JSON data.

[0129] Step 2:

[0130] The terminal sends the JSON data entered by the user to the server.

[0131] Specifically, this data is sent to the server as an HTTP POST request.

[0132] The input is the JSON data mentioned above, and the output is a network request to send the data.

[0133] Step 3:

[0134] The server receives the information sent from the terminal.

[0135] Parse the received JSON data, extract the necessary fields, and format them.

[0136] This provides pre-processed data to input into generative AI models.

[0137] The input is the HTTP request and the output is the preprocessed data.

[0138] Step 4:

[0139] The server inputs the preprocessed data into the generative AI model.

[0140] Specifically, data including prompt sentences is input into a generative AI model (e.g., GPT-4) to generate compelling presentation text.

[0141] The input is the preprocessed data and the output is the generated text.

[0142] Step 5:

[0143] The server generates an SNS strategy based on the generated text.

[0144] This strategy includes the best times to post, the hashtags to use, and how to reach your target audience.

[0145] Generative AI models are again used to suggest appropriate strategies.

[0146] The input is the generated text and the output is the SNS strategy data.

[0147] Step 6:

[0148] The server returns the generated text and SNS strategy to the terminal.

[0149] Specifically, the results are compiled in JSON format and sent to the terminal as an HTTP response.

[0150] The input is a text and a social media strategy, and the output is an HTTP response.

[0151] Step 7:

[0152] The terminal displays the received information to the user.

[0153] The received data is parsed and converted into a format that can be displayed in the user interface.

[0154] It includes a text box to display the generated text and a box to display your social media strategy.

[0155] The input is the HTTP response and the output is the user interface.

[0156] Step 8:

[0157] Users provide additional information about the artwork, such as high-resolution images and videos of the creation process.

[0158] Specifically, you can upload images and videos using the file selection button.

[0159] The input is additional material and the output is a file upload.

[0160] Step 9:

[0161] The terminal transmits the additional material to the server.

[0162] Sends the uploaded file to the server as an HTTP POST request.

[0163] The input is the additional material file, and the output is a network request to send the file.

[0164] Step 10:

[0165] The server generates a video scenario based on the additional material.

[0166] It extracts the necessary information from the images and videos provided and creates scenarios using a generative AI model.

[0167] The input is the additional material file, and the output is the generated video scenario.

[0168] Step 11:

[0169] Based on the generated scenario, the user creates an introductory video for the work using video editing software.

[0170] Use video editing software to edit the video according to the generated scenario.

[0171] The input is a video scenario and the output is the finished video.

[0172] Step 12:

[0173] The user posts the completed text and video to the SNS and follows the communication strategy suggested by the server.

[0174] Specifically, the generated hashtag is used to post on social media.

[0175] The input is the communication strategy and the finished video, and the output is the social media post.

[0176] (Application example 1)

[0177] 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."

[0178] To maximize the appeal of artworks, it is important to effectively present detailed information about the artwork and use visual effects in the presentation. However, for artists to achieve this, advanced skills and knowledge are required, and in many cases, it takes time and effort. It is also difficult to devise an effective communication strategy on social media, and as a result, artworks often do not receive the attention they deserve. There is a need for a system that can solve these problems and widely communicate the appeal of artworks.

[0179] 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.

[0180] In this invention, the server includes means for inputting information about the artwork, means for transmitting the input information to the server, means for analyzing the received information and generating attractive text using a generative AI model, means for generating a social media communication strategy, means for returning the generated text and social media strategy to the terminal, means for providing additional images and videos of the artwork, means for generating a scenario for a video introducing the artwork based on the provided materials, means for displaying the generated presentation materials using visual effects, and means for the user to interactively operate using a smart device. This enables artists to generate effective presentation materials and communication strategies and maximize the appeal of their artworks by utilizing visual effects, even if they do not have advanced knowledge or skills.

[0181] "Information about an artwork" refers to detailed data about the artwork, such as its title, concept, techniques used, and background story.

[0182] "Means of input" refers to the interface or device through which a user can input information about an artwork.

[0183] The "means for transmitting to the server" refers to a communication means for transmitting the input information as data to a remote server.

[0184] "Means for analyzing received information" refers to the technology or method by which the server converts the data it receives into an understandable format and performs appropriate processing.

[0185] A "generative AI model" is a model that uses artificial intelligence to generate outputs from data that fit a specific purpose.

[0186] "Means for generating compelling text" refers to methods and technologies that use generative AI models to generate text that effectively conveys the appeal of artworks.

[0187] "Means for generating a communication strategy on social media" refers to technologies and systems that propose effective promotional methods on social media.

[0188] "Means for sending back to the terminal" refers to the communication means for sending the generated text and communication strategy back to the user's terminal.

[0189] "Means for providing additional images or videos of the Artwork" means an interface or functionality that allows a user to provide additional visual material related to the Artwork.

[0190] "Means for generating a scenario for a video introducing an artwork" refers to a method or technology for generating a video scenario for introducing an artwork based on additional materials provided.

[0191] "Means for displaying the generated presentation materials based on visual effects" refers to technology or a system for displaying the generated presentation materials in a visually easy-to-understand and attractive manner.

[0192] "Means for users to interactively operate using smart devices" refers to interfaces and technologies that allow users to intuitively operate the system using devices such as smartphones and head-mounted displays.

[0193] The present invention relates to a presentation support system that maximizes the appeal of artworks. The system combines user input, data analysis, the use of generative AI models, and visual presentation display. This section describes a specific embodiment of the system.

[0194] System configuration

[0195] User Interface (UI)

[0196] Users can input information about artworks through a smartphone or head-mounted display, providing detailed information such as the artwork's title, concept, techniques used, background story, etc. The UI is visually easy to understand and intuitive to operate.

[0197] Data transmission and analysis

[0198] Information entered by the user is sent from the device to the server. The sent data is formatted into JSON format on the server side. The server receives this formatted data and performs preprocessing to input it into the generative AI model.

[0199] Leveraging generative AI models

[0200] The server inputs the preprocessed data into a generative AI model. The generative AI model then generates text that effectively expresses the appeal of the artwork based on the input data. For example, it is capable of producing sophisticated expressions such as, "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surrealist landscape of a dream."

[0201] Creating a social media strategy

[0202] The server then generates an effective social media strategy based on the generated text. This strategy includes the appropriate posting time, hashtags to use, and how to approach the target audience. For example, the server might suggest, "When posting on Instagram, use the hashtag DigitalArt Surrealism ArtOfTheDay and post at 6 p.m."

[0203] Displaying presentation materials

[0204] The generated text and social media strategies are sent back to the device and displayed to the user, who can then view the presentation materials interactively with visual effects via a smartphone or head-mounted display.

[0205] Providing additional materials

[0206] Users can also provide additional materials related to their artworks, such as high-resolution images and videos of the creation process, which are also sent to the server via their devices.

[0207] Scenario generation for work introduction videos

[0208] The server uses a generative AI model based on the additional material to generate a scenario for the work introduction video, which the user can then use video editing software to create.

[0209] Examples of concrete examples and prompts

[0210] Specific examples

[0211] A user creates a digital artwork called "Memory of a Psychedelic Dream" and inputs its information. The server then uses a generative AI model to generate the following text: "This digital artwork, 'Memory of a Psychedelic Dream,' vividly depicts a surrealist dreamscape. The colorful colors and intricate details transport the viewer into a fantastical world." Additionally, the server suggests a social media strategy: "When posting to Instagram, use the hashtag DigitalArt Surrealism ArtOfTheDay and post at 6 PM."

[0212] Prompt Sentence Examples

[0213] Create an appealing presentation based on the information about the artwork below and propose an optimal social media strategy. Title: Summer Night View, Concept: The tranquility of the night and the beauty of the starry sky, Technique used: Oil painting, Background story: Inspired by the scenery seen on a summer night.

[0214] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0215] Step 1:

[0216] The user inputs information about the artwork using a smartphone or head-mounted display, including the title, concept, techniques used, background story, etc. The input information is saved on the device in a format that can be stored in a database.

[0217] Step 2:

[0218] The device sends the entered information to the server. At this time, the data is formatted in JSON format. Specifically, the information entered by the user is structured as key-value pairs. This structured data is sent to the server via an HTTP request.

[0219] Step 3:

[0220] The server analyzes the received data. Once the server receives the data, it analyzes it and extracts the necessary information. During this process, it verifies the data format and performs any necessary cleansing, such as filling in missing data or removing unnecessary data.

[0221] Step 4:

[0222] The server inputs the analyzed data into a generative AI model, which then generates text that expresses the appeal of the artwork based on the received data. Specifically, it uses natural language processing technology to generate compelling text from the input data.

[0223] Step 5:

[0224] The server generates a social media posting strategy along with the generated text. Based on the text generated by the generative AI model, it proposes an optimal posting strategy (e.g., posting time, hashtags to use, target demographic, etc.). In this process, the optimal strategy is derived using past data and trend analysis.

[0225] Step 6:

[0226] The server returns the generated text and social media strategy to the device. The server converts the generated content back into JSON format and returns it to the device via an HTTP response. The device parses the received data and displays it to the user.

[0227] Step 7:

[0228] The user provides additional material (such as high-resolution images or videos of the production process) through the device. The user uploads the additional material using the device interface. This material is then retransmitted to the server.

[0229] Step 8:

[0230] The server generates a scenario for the introduction video based on the additional materials received. The server uses a generative AI model to generate a scenario for the introduction video that combines the additional materials and input data. During this process, the scenario is constructed taking visual effects into account.

[0231] Step 9:

[0232] Based on the created scenario, the user uses video editing software to create an introductory video for the work. The user then edits the video according to the scenario and completes the final video.

[0233] Step 10:

[0234] The user posts the completed text and video on social media, following the generated communication strategy and publishing the artwork on social media using appropriate posting times and hashtags.

[0235] 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.

[0236] The present invention relates to a presentation support system that maximizes the appeal of artworks. Specific embodiments of this system are described below. In particular, by combining an emotion engine, flexible presentations based on the user's emotional state can be realized.

[0237] System Overview

[0238] This system inputs information about artworks and uses a generative AI model based on that information to generate various presentation materials (text, strategies, video scenarios, etc.) It also combines an emotion engine to enable customization based on the user's emotional state.

[0239] Program processing

[0240] Enter and submit information

[0241] Users input detailed information about their artwork, including the title, concept, techniques used, background story, etc. This input data is sent to the server via the terminal.

[0242] Receiving and analyzing information

[0243] The server receives the artwork information sent from the device, analyzes the received data, and performs pre-processing to input it into the generative AI model, including text cleaning and conversion.

[0244] Emotion Engine Operation

[0245] The device is equipped with an emotion engine that recognizes the user's emotional state in real time. The emotion engine analyzes the user's facial expressions, tone of voice, and choice of words to understand the user's current emotional state. This emotion data is sent to the server.

[0246] Running and Tuning Generative AI Models

[0247] The server runs a generative AI model based on the preprocessed information and the user's emotional state data to generate compelling sentences. For example, if the user is excited, lively sentences that reflect that excitement are generated. The generative AI model uses natural language processing technology to generate sentences that effectively express the concept and value of the work.

[0248] Creating a social media strategy

[0249] The server then simultaneously generates an effective social media posting strategy, including the best time to post, hashtags to use, and how to reach the target audience.

[0250] Returning and displaying information

[0251] The generated text and SNS strategy are sent back from the server to the terminal, which receives them and displays them to the user.

[0252] Providing additional materials and generating video scenarios

[0253] Users can provide more detailed information about the artwork, such as high-resolution images or videos of the creation process. These additional materials are sent via the device to the server, which then receives them. Based on the additional materials, the server uses a generative AI model to generate a scenario for a video introducing the artwork. The generated scenario begins with a zoom-in of the finished work, followed by a time-lapse of the creation process, and finally displays the title of the work and the artist's name.

[0254] Video Production and Publishing

[0255] Based on the generated scenario, the user uses video editing software to create an introductory video for the work, and then posts the completed text and video on a social networking site, following the communication strategy suggested by the server.

[0256] Specific examples

[0257] A user creates a digital artwork called "Memories of a Psychedelic Dream" and inputs the information. The device then sends the information to a server, which uses a generative AI model to generate text like this: "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts a surrealist dreamscape. Its vibrant colors and meticulous detail transport the viewer into a fantastical world."

[0258] The emotion engine also recognizes when a user is excited and generates sentences that reflect that emotional state. For example, "This vibrant digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surrealist landscape of a dream!"

[0259] Additionally, as a social media strategy, users are suggested to use the hashtag DigitalArt Surrealism ArtOfTheDay when posting on Instagram and post at 6pm. Users will follow this and post, resulting in increased engagement.

[0260] High-resolution images and videos of the production process are provided as additional materials, and the server generates a video scenario based on these. Users can create a video according to the generated scenario and post it on social media, resulting in a visually appealing presentation.

[0261] As described above, the system of the present invention allows artists to effectively promote their own works and to make flexible presentations that reflect the emotional state of the user.

[0262] The processing flow will be explained below.

[0263] Step 1:

[0264] Users enter details about their artwork, such as the title "Psychedelic Dream Memory," the concept "Surrealist-influenced depiction of a dream memory," and the technique used "Digital Painting."

[0265] Step 2:

[0266] The device sends the entered information to the server, and the data is sent in a structured data format such as JSON.

[0267] Step 3:

[0268] The server receives the artwork information sent from the device and formats and preprocesses the data, including cleaning strings and converting data formats. The preprocessed information is then used as input data for the generative AI model.

[0269] Step 4:

[0270] The device runs an emotion engine that recognizes the user's emotional state in real time. The emotion engine analyzes the user's facial expressions, tone of voice, and input text content to identify the user's emotional state. This emotion data is then sent to the server.

[0271] Step 5:

[0272] Based on the received emotional data, the server adjusts the parameters of the generative AI model to generate engaging sentences that reflect the user's emotional state. For example, if the user is excited, lively sentences that reflect that excitement will be generated.

[0273] Step 6:

[0274] The server simultaneously generates an effective social media strategy, including the best time to post, hashtags to use, and how to approach the target audience.

[0275] Step 7:

[0276] The server sends the generated text and SNS strategy back to the device, which receives it and displays it to the user.

[0277] Step 8:

[0278] Users provide additional materials such as high-resolution images of artworks and videos of the production process. The additional materials are sent to the server via their devices. The material formats are image files and video files.

[0279] Step 9:

[0280] The server uses the generative AI model to generate a scenario for an introductory video based on the additional materials received, which begins with a zoom-in of the finished work, a time-lapse of the production process, and finally displays the work title and artist name.

[0281] Step 10:

[0282] Users create an introductory video based on the provided scenario using video editing software, which includes adding text and effects.

[0283] Step 11:

[0284] The user posts the completed text and video to the SNS and follows the communication strategy suggested by the server.

[0285] For example, you could post a video on Instagram with the following text: "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surrealist landscape of a dream." Use appropriate hashtags and time your post to increase engagement and reach a larger audience.

[0286] As described above, the system of the present invention allows artists to effectively promote their own works and to make flexible presentations that reflect the emotional state of the user.

[0287] Example 2

[0288] 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."

[0289] Until now, it has been difficult to effectively present artworks online and customize them to take into account the user's emotional state and communication strategy. It has also been difficult to input information about an artwork and generate compelling text, communication strategies, and even a scenario for an introductory video based on that information.

[0290] 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.

[0291] In this invention, the server includes means for inputting information about the artwork, means for transmitting the input information to the server, means for analyzing the received information and generating attractive text using a generative model, means for recognizing the user's emotional state and analyzing the data, means for adjusting the text based on the emotional data, means for generating a communication strategy for SNS, means for returning the generated text and communication strategy to the terminal, means for providing additional materials for the artwork, and means for generating a scenario for a video introducing the artwork based on the provided materials. This allows users to maximize the appeal of the artwork and make flexible presentations that take into account the user's emotional state and an appropriate communication strategy.

[0292] "Information about the artwork" is detailed data related to the artwork entered by the user, such as the artwork's title, concept, techniques used, and background story.

[0293] "Input means" refers to an interface that allows users to input information about artworks into a terminal, such as a system that includes a text box and a file upload function.

[0294] The "means for sending" is a module with communication functions for sending information about artworks from a terminal to a server, and uses a protocol such as an HTTP POST request.

[0295] "Means for analyzing received information" refers to the process by which the server receives data sent from the terminal and performs any necessary cleaning or pre-processing of the text.

[0296] "Means for generating engaging text using a generative model" refers to the algorithms and systems used by the server to use NLP (natural language processing) techniques to generate engaging descriptions from input information about artworks.

[0297] "Means for recognizing the user's emotional state and analyzing the data" refers to a system in which an emotion recognition engine installed in the device analyzes the user's facial expressions and tone of voice to detect and analyze their emotional state in real time.

[0298] The "means for adjusting text based on emotional data" refers to an algorithm and system for generating text with an appropriate tone and style based on the results of emotional analysis, in accordance with the user's emotional state.

[0299] "Means for generating a social media communication strategy" refers to an algorithm that suggests a social media strategy for effectively disseminating the generated text, including, for example, the optimal posting time and hashtags to use.

[0300] The "means for returning to the terminal" is a module having a communication function for the server to send the generated text and SNS strategy to the terminal.

[0301] "Means for providing additional materials" refers to a system that provides an interface that allows users to upload additional materials, such as high-resolution images and videos of the production process, via their terminals.

[0302] The "means for generating a scenario for a work introduction video based on the provided materials" refers to an algorithm and system in which the server analyzes the additional materials provided by the user and generates a scenario for a work introduction video using a generative AI model.

[0303] This invention relates to a presentation support system that maximizes the appeal of artworks. Based on information about artworks entered by users, the system uses a generative AI model to generate compelling text and social media strategies, and can further customize the system to adapt to the user's emotional state.

[0304] First, the user inputs information about the artwork (e.g., title, concept, technique used, background story, etc.). For example, the user inputs information about a digital artwork called "Memories of a Psychedelic Dream." This information is then sent to the server via the user's device.

[0305] The device collects the input data, formats it in JSON format, and sends it to the server via an HTTP POST request. The server then parses the received data and performs any necessary cleaning or text transformations. This parsing process involves using an NLP library (e.g., spaCy) to tokenize the data and correct any improper characters or formatting.

[0306] The device then uses a camera and microphone to analyze facial expressions and tone of voice to recognize the user's emotional state in real time. This emotion analysis is performed using emotion recognition libraries (e.g., OpenCV, DeepFace, PRAAT). The emotion data is then formatted and sent to the server.

[0307] The server generates prompt sentences using a generative AI model (e.g., GPT-3 (registered trademark), BERT) based on the received emotion data and preprocessed text data. The generated sentences are adjusted according to the user's emotional state. For example, if the user is excited, an animated sentence will be generated:

[0308] "This vibrant digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surreal landscape of a dream!"

[0309] The server also suggests effective social media strategies based on the generated text. For example, it suggests using the hashtag "DigitalArt Surrealism ArtOfTheDay" when posting on Instagram and posting at 6 p.m. as the optimal time.

[0310] The generated text and SNS strategy are sent back to the device from the server and displayed to the user. The user can then post to the SNS based on this, which is expected to generate high engagement.

[0311] Additionally, users can upload additional materials, such as high-resolution images and videos of the production process, to their devices. These materials are then sent to the server via the device, which then uses a generative AI model to generate a scenario for the introductory video.

[0312] The generated scenario is as follows:

[0313] "First, a zoomed-in look at the finished work, then a time-lapse of the creation process, and finally the title of the work and the artist's name."

[0314] Users use video editing software (e.g., Adobe Premiere Pro) to create an introductory video based on the generated scenario. By posting the completed text and video on social media and adhering to the communication strategy suggested by the server, a visually appealing presentation can be completed.

[0315] As described above, this system allows users to maximize the appeal of artworks and make flexible presentations that take into account their emotional state and appropriate communication strategies.

[0316] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0317] Step 1:

[0318] The user inputs information about the artwork into the device.

[0319] Users enter details such as the title of the work, concept, techniques used, and background story.

[0320] Example input: Title "Memories of a Psychedelic Dream" and concept "Surrealist Landscape in a Dream."

[0321] Input data: Artwork information in text format.

[0322] Output data: Artwork information formatted in JSON format.

[0323] Step 2:

[0324] The device sends the information to the server

[0325] The device formats the input artwork information in JSON format and sends it to the server via an HTTP POST request.

[0326] Input data: Artwork information entered by the user in JSON format.

[0327] Data processing: Converting text data into JSON format.

[0328] Output: The HTTP POST request sent to the server.

[0329] Step 3:

[0330] The server receives the data from the device.

[0331] The server receives the HTTP request, analyzes the content, and stores it in a database.

[0332] Input data: Artwork information sent from the device.

[0333] Data processing: Saving to database.

[0334] Output data: Saved artwork information.

[0335] Step 4:

[0336] The server preprocesses the data

[0337] The server cleans the received text data and performs preprocessing such as tokenization.

[0338] Software used: NLP library (spaCy).

[0339] Input data: Saved artwork information.

[0340] Data processing: Text cleaning and tokenization.

[0341] Output data: Preprocessed text data.

[0342] Step 5:

[0343] The device recognizes the user's emotional state

[0344] The device uses a camera and microphone to analyze the user's facial expressions and tone of voice to obtain emotional data.

[0345] Hardware used: camera, microphone.

[0346] Software used: Emotion recognition libraries (OpenCV, DeepFace, PRAAT).

[0347] Input data: Real-time video and audio data.

[0348] Data processing: Analysis of facial expressions and tone of voice.

[0349] Output data: Real-time sentiment data.

[0350] Step 6:

[0351] The device sends emotion data to the server.

[0352] The device formats the acquired emotion data into JSON format and sends it to the server via an HTTP POST request.

[0353] Input data: Real-time sentiment data.

[0354] Data processing: Formatting data into JSON format.

[0355] Output: The HTTP POST request sent to the server.

[0356] Step 7:

[0357] The server receives preprocessed information and emotion data.

[0358] The server retrieves the preprocessed text data and emotion data and inputs them into the generative AI model.

[0359] Software used: Generative AI models (GPT-3, BERT).

[0360] Input data: Preprocessed text data and sentiment data.

[0361] Data processing: Shaping data for input into generative AI models.

[0362] Output data: The prompt data required by the generative AI model.

[0363] Step 8:

[0364] The server runs the generative AI model and generates sentences.

[0365] The server runs a generative AI model to generate engaging text, adjusting tone and style based on the user's emotional data.

[0366] Input data: Prompt data.

[0367] Data computation: Text generation using generative AI models.

[0368] Output data: Customized sentences depending on the emotional state.

[0369] Example: "This vibrant digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surreal landscape of a dream!"

[0370] Step 9:

[0371] The server generates the SNS strategy.

[0372] The server proposes an optimal SNS strategy based on the generated text.

[0373] Input data: Generated sentences corresponding to emotional states.

[0374] Data computation: SNS strategy generation algorithm.

[0375] Output: A publishing strategy including optimal posting times, hashtags, and target audience.

[0376] Example: "When posting on Instagram, use the hashtags DigitalArt Surrealism ArtOfTheDay and post at 6pm."

[0377] Step 10:

[0378] The server sends the generated information back to the device

[0379] The server formats the generated text and SNS strategy into JSON format and sends it to the terminal via an HTTP POST request.

[0380] Input data: Generated text and social media strategies.

[0381] Data processing: Formatting data into JSON format.

[0382] Output data: The HTTP POST request sent to the device.

[0383] Step 11:

[0384] The device receives the information and displays it to the user.

[0385] The terminal analyzes the received data and displays it on the screen in a format that is easy for the user to view.

[0386] Input data: JSON data sent from the server.

[0387] Data processing: Transforming data into a user interface.

[0388] Output data: Screen display.

[0389] Step 12:

[0390] Users can upload high-resolution images and videos of the production process to their devices.

[0391] Users upload detailed additional material to their devices, e.g., a one-minute time-lapse video.

[0392] Input data: high-resolution images and videos.

[0393] Data processing: None.

[0394] Output data: Additional material stored on the device.

[0395] Step 13:

[0396] The device sends additional material to the server

[0397] The device compresses the additional material and sends it to the server in an HTTP POST request.

[0398] Input data: high-resolution images and videos.

[0399] Data processing: Data compression and HTTP POST requests.

[0400] Output Data: Additional material sent to the server.

[0401] Step 14:

[0402] The server generates the scenario.

[0403] The server analyzes the additional material and uses a generative AI model to generate a scenario for the work introduction video.

[0404] Input data: high-resolution images and videos.

[0405] Data calculation: Scenario generation using generative AI models.

[0406] Output data: Scenario for the work introduction video.

[0407] Example of generation: "First, zoom in on the finished work, then a time lapse of the creation process, and finally display the work title and artist name."

[0408] Step 15:

[0409] A user creates a video using video editing software

[0410] The user creates an introductory video for the work using video editing software based on the generated scenario.

[0411] Input data: Generated video scenarios.

[0412] Data processing: video editing.

[0413] Output: A video introducing the finished work.

[0414] Step 16:

[0415] The user posts the completed text and video to social media.

[0416] Users post the generated text and video to a social networking site and follow the communication strategy suggested by the server.

[0417] Input data: completed text and work introduction video.

[0418] Data processing: Social media posts.

[0419] Output data: Content published on social media.

[0420] (Application example 2)

[0421] 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."

[0422] Conventional methods have limitations when it comes to presenting artworks in a way that maximizes their appeal and deeply moves viewers. In particular, there is a lack of technology that can provide customized presentations that correspond to the viewer's emotional state, making it difficult to provide an optimal experience for each viewer. For this reason, there has been a strong demand for a system that can automatically generate presentations of artworks that correspond to the emotions of each viewer.

[0423] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting information about the artwork, means for transmitting the input information to the server, means for analyzing the received information and generating attractive text using a generative AI model, means for generating a social media posting strategy, means for returning the generated text and social media strategy to the terminal, means for providing additional images and videos of the artwork, means for generating a scenario for a video introducing the artwork based on the provided materials, means for recognizing emotions in real time, means for adjusting the generative AI model based on the emotion data, and means for providing a customized presentation using the adjusted generative AI model. This enables flexible presentations based on the emotional state of each viewer.

[0424] "Means for inputting information about artworks" refers to devices or software that allow users to input detailed information related to the artworks being exhibited (such as title, concept, technique, background story, etc.).

[0425] The "means for transmitting input information to the server" refers to a communication means for transmitting the input information about the artwork to the server via a network.

[0426] "Means for analyzing received information and generating engaging text using a generative AI model" refers to a means for the server to analyze the information about the artwork received and execute a process for generating engaging text based on that information using a generative AI model (e.g., a natural language processing model).

[0427] The "means for generating a social media communication strategy" is an algorithm that determines the optimal timing, hashtags, and target audience for effectively disseminating the generated text on social media.

[0428] "Means for returning the generated text and SNS strategy to the device" refers to a communication means for sending and displaying the generated text and communication strategy on the device used by the user (smartphone, tablet, etc.).

[0429] The "means for providing additional images and videos of artworks" refers to input and communication means that allow users to upload images and videos related to artworks to the server.

[0430] "Means for generating a scenario for a work introduction video based on provided materials" refers to means for executing a process for automatically generating a scenario for a work introduction video using a generative AI model based on provided additional images and videos.

[0431] The "means for recognizing emotions in real time" refers to means including a sensor, a camera, a microphone, and an analysis algorithm for analyzing the user's facial expressions and tone of voice and recognizing the user's current emotional state in real time.

[0432] The "means for adjusting the generative AI model based on emotional data" refers to a means for executing a process for adapting the output of the generative AI model to the user's emotional data recognized in real time.

[0433] A "means for providing a customized presentation using an adjusted generative AI model" is a means for automatically generating and displaying an attractive presentation optimized for a user using a generative AI model adjusted based on emotional data.

[0434] The system of the present invention is a system that maximizes the appeal of an artwork and provides a presentation that is suited to the emotional state of the viewer. Specific embodiments for implementing this system will be described in detail below.

[0435] The system consists of several major hardware and software components, including an input terminal, a server, an emotion recognition means, a generative AI model, a communication means, and a presentation display means.

[0436] Hardware and software used

[0437] Input device: Smart glasses or smartphone

[0438] Server: Cloud-based server (e.g., Amazon Web Services)

[0439] Emotion recognition means: camera, microphone, Microsoft® Azure® Face API

[0440] Generative AI model: OpenAI® GPT-4

[0441] Communication methods: Wi-Fi, Bluetooth, 4G / 5G networks

[0442] Presentation display means: Smart glasses (e.g., Google® Glass®, Microsoft HoloLens®)

[0443] Program processing flow

[0444] 1. Enter and submit information:

[0445] The user inputs information about the artwork from an input terminal, including the artwork's title, concept, techniques used, background story, etc.

[0446] The terminal transmits the input information to the server.

[0447] 2. Information analysis and generation:

[0448] The server analyzes the received information and pre-processes it for input into the generative AI model, which includes text cleaning and transformation.

[0449] Based on the preprocessed information, OpenAI GPT-4 is used to generate compelling text to introduce artworks, and prompts are used in the text generation process.

[0450] 3. Emotion recognition:

[0451] Emotion recognition tools (camera and microphone) are used to analyze viewers' facial expressions and tone of voice in real time, using the Microsoft Azure Face API.

[0452] The analyzed emotion data is sent to the server and stored.

[0453] 4. Emotion-based regulation:

[0454] The server adjusts the generative AI model based on the emotional data and generates sentences that best suit the viewer's emotional state.

[0455] As an example, we will use the prompt, "Generate the most appropriate explanatory text for the digital artwork "Memories of a Psychedelic Dream" when the viewer is surprised."

[0456] 5. Generate and return social media strategies:

[0457] The server simultaneously generates an effective social media posting strategy based on the generated text, including the optimal posting time, hashtags, and how to approach the target audience.

[0458] This information is sent back to the terminal and displayed to the user.

[0459] 6. Providing additional materials and generating video scenarios:

[0460] If the user provides more detailed information about the artwork (such as high-resolution images or videos of the creation process), this material is sent to the server via the device.

[0461] Based on these additional materials, the server uses a generative AI model to generate a scenario for the work's introduction video.

[0462] Specific examples

[0463] A user inputs the digital artwork "Memory of a Psychedelic Dream" into an input device. The device sends the information to a server, which uses a generative AI model to generate a sentence like this: "This digital artwork, 'Memory of a Psychedelic Dream,' vividly depicts a fantastical dreamscape. The colorful colors and intricate details invite the viewer into a fantastical world." Using emotion recognition, the server determines the user's emotional state as surprise and generates a sentence that reflects that emotional state. For example, "This dynamic digital artwork, 'Memory of a Psychedelic Dream,' vividly depicts a fantastical dreamscape!" The server then suggests an optimal promotional strategy, such as "Use the hashtag DigitalArt Surrealism ArtOfTheDay when posting on Instagram and post at 6 PM."

[0464] In this way, the system of the present invention allows artists to effectively promote their work and provides flexible presentations that reflect the emotional state of the user.

[0465] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0466] Step 1:

[0467] The user inputs information about the artwork into an input device (smart glasses or smartphone), including the artwork's title, concept, techniques used, background story, etc. The input information is sent from the device to the server as structured data.

[0468] Step 2:

[0469] The server analyzes the received artwork information and performs preprocessing to input it into a generative AI model (OpenAI GPT-4). This preprocessing includes text cleaning, format conversion, noise reduction, etc. The preprocessed data is then input into the generative AI model along with a prompt.

[0470] Step 3:

[0471] The server runs the generative AI model based on the preprocessed information and generates the first description of the artwork, which reads as follows: "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts a fantastical landscape. Its vibrant colors and meticulous details transport the viewer into a dream world."

[0472] Step 4:

[0473] Using emotion recognition means (such as the camera and microphone in the smart glasses), the system analyzes the user's facial expressions and tone of voice in real time to determine their current emotional state. The analysis is performed using the Microsoft Azure Face API. The analysis results are sent to the server as emotional data.

[0474] Step 5:

[0475] Based on the received emotional data, the server adjusts the generative AI model again to generate sentences optimized for the user's emotional state. For example, if the user's emotional state is surprise, the generative AI model will generate a sentence such as, "This vibrant digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts that fantastical landscape!"

[0476] Step 6:

[0477] The server simultaneously generates the generated text and a social media distribution strategy, which includes the optimal posting time, hashtags to use, and how to approach the target audience. For example, it might include information such as, "When posting on Instagram, use the hashtag DigitalArt Surrealism ArtOfTheDay and post at 6 p.m."

[0478] Step 7:

[0479] The server sends the generated text and SNS strategy back to the device, where the information is displayed and the user can check the content.

[0480] Step 8:

[0481] If the user provides additional detailed information about the artwork (such as high-resolution images or videos of the creation process), these materials are sent via the device to the server, which uses the generative AI model to generate a scenario for the artwork introduction video.

[0482] Step 9:

[0483] The server generates a video scenario, and the user uses video editing software (e.g., Adobe Premiere Pro API) to create the final introduction video. The completed video is sent to the device, and the user can post it on social media.

[0484] This makes it possible for the system to provide artwork presentations optimized for each viewer's emotional state and even support social media strategies.

[0485] 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.

[0486] 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.

[0487] 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.

[0488] [Second embodiment]

[0489] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0490] 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.

[0491] 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).

[0492] 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.

[0493] 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.

[0494] 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).

[0495] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0496] 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.

[0497] 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.

[0498] 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.

[0499] 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.

[0500] 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."

[0501] The present invention relates to a presentation support system that maximizes the appeal of artworks. Specific embodiments of this system will be described below.

[0502] System Overview

[0503] This system inputs information about artworks and uses a generative AI model based on that information to generate various presentation materials (text, strategies, video scenarios, etc.) The system provides comprehensive support for artists to effectively promote their works and appeal to a large audience.

[0504] Program processing

[0505] Enter and submit information

[0506] Users input detailed information about their artwork, such as the title, concept, techniques used, background story, etc. This input data is sent to the server via the terminal.

[0507] Receiving and analyzing information

[0508] The server analyzes the information received from the device, which includes formatting the received data (e.g., JSON format) and preprocessing it for input into the generative AI model.

[0509] Running generative AI models

[0510] The server inputs the preprocessed information into a generative AI model to generate compelling presentation text. This AI model utilizes natural language processing technology to generate text that effectively expresses the concept and value of the work.

[0511] Creating a social media strategy

[0512] The server then generates an effective social media strategy along with the generated text, including suggestions on the best time to post, hashtags to use, and how to approach the target audience.

[0513] Returning and displaying information

[0514] The generated text and SNS strategy are sent back from the server to the terminal, and the terminal displays the received information to the user.

[0515] Providing additional materials and generating video scenarios

[0516] Users can provide more detailed information about the artwork (such as high-resolution images or videos of the creation process). These additional materials are sent via the device to the server, which then uses a generative AI model to generate a scenario for the artwork's introductory video.

[0517] Video Production and Publishing

[0518] Based on the generated scenario, the user uses video editing software to create an introductory video for the work, and then posts the completed text and video on a social networking site, following the communication strategy suggested by the server.

[0519] Specific examples

[0520] A user creates a digital artwork called "Memory of a Psychedelic Dream" and inputs the information. The device then sends the information to a server, which uses a generative AI model to generate text like this: "This digital artwork, 'Memory of a Psychedelic Dream,' vividly depicts a surrealist dreamscape. Its vibrant colors and meticulous detail transport the viewer into a fantastical world."

[0521] Additionally, as a social media strategy, users are suggested to use the hashtag DigitalArt Surrealism ArtOfTheDay when posting on Instagram and post at 6pm. Users will follow this and post, resulting in increased engagement.

[0522] High-resolution images and videos of the production process are provided as additional materials, and the server generates a video scenario based on these. Users can create a video according to the generated scenario and post it on social media, resulting in a visually appealing presentation.

[0523] As described above, the system of the present invention allows artists to effectively promote their own works and maximize their appeal.

[0524] The processing flow will be explained below.

[0525] Step 1:

[0526] Users enter detailed information about their artwork, including the title, concept, techniques used, and background story.

[0527] Example: Enter the title of the work as "Psychedelic Dream Memory", the concept as "A depiction of a dream memory influenced by surrealism", and the technique used as "Digital Painting".

[0528] Step 2:

[0529] The device sends the entered information to the server, where the data is sent in a structured data format such as JSON.

[0530] Step 3:

[0531] The server receives the artwork information sent from the device, formats the received data, and pre-processes it for analysis, including text cleaning and conversion.

[0532] Step 4:

[0533] The server inputs the preprocessed information into a generative AI model to generate compelling sentences, which then use natural language processing techniques to generate sentences that effectively express the concept and value of the work.

[0534] Example: Generates the following sentence: "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts a surrealist dreamscape. The vibrant colors and meticulous details transport the viewer into a fantastical world."

[0535] Step 5:

[0536] Based on the generated text, the server generates an effective social media posting strategy, including the best time to post, hashtags to use, and how to approach the target audience.

[0537] For example, it suggests that the best time to post on Instagram is 6pm and that you use the hashtag DigitalArt Surrealism.

[0538] Step 6:

[0539] The server sends the generated text and transmission strategy back to the terminal, which receives it and displays it to the user.

[0540] Step 7:

[0541] Users upload additional materials, such as high-resolution images of artworks and videos of the creation process, to their devices. The devices then send these materials back to the server. The materials are in the form of image files or video files.

[0542] Step 8:

[0543] Based on the additional materials received, the server uses a generative AI model to generate a scenario for an introductory video, which begins with a zoom-in of the finished work, a time-lapse of the production process, and finally displays the work's title and artist's name.

[0544] Step 9:

[0545] Based on the provided scenario, users create an introductory video using video editing software, which includes adding text and effects.

[0546] Step 10:

[0547] The user posts the completed text and video to the SNS and follows the communication strategy suggested by the server.

[0548] For example, you could post a video on Instagram with the following text: "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surrealist landscape of a dream." Use appropriate hashtags and time your post to increase engagement and reach a larger audience.

[0549] As described above, the system of the present invention allows artists to effectively promote their own works and maximize their appeal.

[0550] Example 1

[0551] 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."

[0552] In today's world, artists need advanced presentation skills to effectively promote their work and reach a wide audience. However, many artists lack the technical support and knowledge of social media strategies, making it difficult to maximize the appeal of their work. Furthermore, creating visual presentations using high-resolution images and videos is difficult, creating a demand for technology that can efficiently handle these tasks.

[0553] 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.

[0554] In this invention, the server includes means for inputting information about the artwork, means for transmitting the input information to an information processing device, means for analyzing the received information and generating attractive text using a generative AI model, means for generating a communication strategy for a social network service, means for returning the generated text and communication strategy to the terminal, means for providing additional information about the artwork, and means for generating a scenario for an artwork introduction video based on the provided materials. This allows artists to maximize the appeal of their artwork and effectively communicate it, even without advanced technology.

[0555] "Artwork" is a general term for works of visual art, such as paintings, sculptures, and digital art.

[0556] "Information processing device" refers to a computer or server that receives and analyzes data, executes generative AI models, and so on.

[0557] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to generate sentences based on input information.

[0558] A "social network service" is an online platform that allows users to create personal profiles and share information with other users.

[0559] "Terminal" refers to a device, such as a computer, smartphone, or tablet, that a user uses to input information and receive generated data.

[0560] A "structured data format" is a format that organizes data elements hierarchically according to rules such as JSON and XML.

[0561] "Additional Information" refers to detailed material about the artwork, such as high-resolution images, video, or audio.

[0562] "Scenario" refers to the script or screenplay of a video or presentation created by a generative AI model.

[0563] "Dissemination strategy" refers to proposals that include plans and methods for effectively disseminating information on social networking services.

[0564] The present invention relates to a presentation support system that maximizes the appeal of artworks. Specific embodiments of this system will be described in detail below.

[0565] System Overview

[0566] This system allows users to input information about their artworks, and then uses that information to generate various presentation materials (text, social media strategies, video scenarios, etc.) using a generative AI model. This system allows users to effectively communicate the appeal of their artworks and reach a large audience.

[0567] Hardware and Software

[0568] The main hardware used to implement the system includes terminals (computers, smartphones, tablets, etc. where users input information) and servers (information processing devices that receive and analyze information and run generative AI models).

[0569] The software includes a web interface or mobile application for users to input information, as well as analytics programs and generative AI models (e.g., GPT-4) that run on the server side, and additional software for generating social media strategies.

[0570] Enter and submit information

[0571] Users input detailed information about their artwork, including the title, concept, techniques used, background story, etc. This input data is converted into JSON format and sent to the server via the device.

[0572] Receiving and analyzing information

[0573] The server analyzes the information received from the device. Specifically, it parses the received JSON data, extracts the necessary fields, and formats them. As preprocessing, it also converts the data into a format that is easy for the generative AI model to understand.

[0574] Running generative AI models

[0575] The server inputs the preprocessed information into a generative AI model to generate compelling presentation text that effectively expresses the concept and value of the artwork. This generative AI model utilizes natural language processing technology.

[0576] Creating a social media strategy

[0577] At the same time as generating the text, the server also generates a social media distribution strategy. Specifically, it generates suggestions for the appropriate posting time, hashtags to use, how to approach the target audience, etc. This strategy generation is also done using a generative AI model.

[0578] Returning and displaying information

[0579] The generated text and SNS strategy are sent back from the server to the terminal, and the terminal displays the received information to the user. In the user interface, the generated text is displayed in a text box, and the SNS strategy is displayed in another box.

[0580] Providing additional materials and generating video scenarios

[0581] Users can provide more detailed information about the artwork, such as high-resolution images and videos of the creation process. These additional materials are sent to the server via the device, and the server uses a generative AI model to generate a scenario for the artwork introduction video based on the received materials. This process includes file analysis and prompt generation.

[0582] Video Production and Publishing

[0583] Based on the generated scenario, users create an introductory video for their work using video editing software (e.g., Adobe Premiere Pro). Using the completed text and video, users post the video on social media and follow the communication strategy suggested by the server. This increases engagement and maximizes the appeal of their work.

[0584] Prompt Sentence Examples

[0585] Here are some example prompts that users can enter into a generative AI model:

[0586] "Generate a sentence that effectively conveys the concept and appeal of my work, 'Memories of a Psychedelic Dream'."

[0587] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0588] Step 1:

[0589] The user enters information about the artwork.

[0590] Information entered includes the title of the work, concept, techniques used, background story, etc.

[0591] This information is formatted as JSON data.

[0592] The output is structured JSON data.

[0593] Step 2:

[0594] The terminal sends the JSON data entered by the user to the server.

[0595] Specifically, this data is sent to the server as an HTTP POST request.

[0596] The input is the JSON data mentioned above, and the output is a network request to send the data.

[0597] Step 3:

[0598] The server receives the information sent from the terminal.

[0599] Parse the received JSON data, extract the necessary fields, and format them.

[0600] This provides pre-processed data to input into generative AI models.

[0601] The input is the HTTP request and the output is the preprocessed data.

[0602] Step 4:

[0603] The server inputs the preprocessed data into the generative AI model.

[0604] Specifically, data including prompt sentences is input into a generative AI model (e.g., GPT-4) to generate compelling presentation text.

[0605] The input is the preprocessed data and the output is the generated text.

[0606] Step 5:

[0607] The server generates an SNS strategy based on the generated text.

[0608] This strategy includes the best times to post, the hashtags to use, and how to reach your target audience.

[0609] Generative AI models are again used to suggest appropriate strategies.

[0610] The input is the generated text and the output is the SNS strategy data.

[0611] Step 6:

[0612] The server returns the generated text and SNS strategy to the terminal.

[0613] Specifically, the results are compiled in JSON format and sent to the terminal as an HTTP response.

[0614] The input is a text and a social media strategy, and the output is an HTTP response.

[0615] Step 7:

[0616] The terminal displays the received information to the user.

[0617] The received data is parsed and converted into a format that can be displayed in the user interface.

[0618] It includes a text box to display the generated text and a box to display your social media strategy.

[0619] The input is the HTTP response and the output is the user interface.

[0620] Step 8:

[0621] Users provide additional information about the artwork, such as high-resolution images and videos of the creation process.

[0622] Specifically, you can upload images and videos using the file selection button.

[0623] The input is additional material and the output is a file upload.

[0624] Step 9:

[0625] The terminal transmits the additional material to the server.

[0626] Sends the uploaded file to the server as an HTTP POST request.

[0627] The input is the additional material file, and the output is a network request to send the file.

[0628] Step 10:

[0629] The server generates a video scenario based on the additional material.

[0630] It extracts the necessary information from the images and videos provided and creates scenarios using a generative AI model.

[0631] The input is the additional material file, and the output is the generated video scenario.

[0632] Step 11:

[0633] Based on the generated scenario, the user creates an introductory video for the work using video editing software.

[0634] Use video editing software to edit the video according to the generated scenario.

[0635] The input is a video scenario and the output is the finished video.

[0636] Step 12:

[0637] The user posts the completed text and video to the SNS and follows the communication strategy suggested by the server.

[0638] Specifically, the generated hashtag is used to post on social media.

[0639] The input is the communication strategy and the finished video, and the output is the social media post.

[0640] (Application example 1)

[0641] 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."

[0642] To maximize the appeal of artworks, it is important to effectively present detailed information about the artwork and use visual effects in the presentation. However, for artists to achieve this, advanced skills and knowledge are required, and in many cases, it takes time and effort. It is also difficult to devise an effective communication strategy on social media, and as a result, artworks often do not receive the attention they deserve. There is a need for a system that can solve these problems and widely communicate the appeal of artworks.

[0643] 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.

[0644] In this invention, the server includes means for inputting information about the artwork, means for transmitting the input information to the server, means for analyzing the received information and generating attractive text using a generative AI model, means for generating a social media communication strategy, means for returning the generated text and social media strategy to the terminal, means for providing additional images and videos of the artwork, means for generating a scenario for a video introducing the artwork based on the provided materials, means for displaying the generated presentation materials using visual effects, and means for the user to interactively operate using a smart device. This enables artists to generate effective presentation materials and communication strategies and maximize the appeal of their artworks by utilizing visual effects, even if they do not have advanced knowledge or skills.

[0645] "Information about an artwork" refers to detailed data about the artwork, such as its title, concept, techniques used, and background story.

[0646] "Means of input" refers to the interface or device through which a user can input information about an artwork.

[0647] The "means for transmitting to the server" refers to a communication means for transmitting the input information as data to a remote server.

[0648] "Means for analyzing received information" refers to the technology or method by which the server converts the data it receives into an understandable format and performs appropriate processing.

[0649] A "generative AI model" is a model that uses artificial intelligence to generate outputs from data that fit a specific purpose.

[0650] "Means for generating compelling text" refers to methods and technologies that use generative AI models to generate text that effectively conveys the appeal of artworks.

[0651] "Means for generating a communication strategy on social media" refers to technologies and systems that propose effective promotional methods on social media.

[0652] "Means for sending back to the terminal" refers to the communication means for sending the generated text and communication strategy back to the user's terminal.

[0653] "Means for providing additional images or videos of the Artwork" means an interface or functionality that allows a user to provide additional visual material related to the Artwork.

[0654] "Means for generating a scenario for a video introducing an artwork" refers to a method or technology for generating a video scenario for introducing an artwork based on additional materials provided.

[0655] "Means for displaying the generated presentation materials based on visual effects" refers to technology or a system for displaying the generated presentation materials in a visually easy-to-understand and attractive manner.

[0656] "Means for users to interact with smart devices" refers to interfaces and technologies that allow users to intuitively operate a system using devices such as smartphones or head-mounted displays.

[0657] The present invention relates to a presentation support system that maximizes the appeal of artworks. The system combines user input, data analysis, the use of generative AI models, and visual presentation display. This section describes a specific embodiment of the system.

[0658] System configuration

[0659] User Interface (UI)

[0660] Users can input information about artworks via smartphones or head-mounted displays, providing detailed information such as the artwork's title, concept, techniques used, background story, etc. The UI is visually easy to understand and intuitive to operate.

[0661] Data transmission and analysis

[0662] Information entered by the user is sent from the device to the server. The sent data is formatted into JSON format on the server side. The server receives this formatted data and performs preprocessing to input it into the generative AI model.

[0663] Leveraging generative AI models

[0664] The server inputs the preprocessed data into a generative AI model. The generative AI model then generates text that effectively expresses the appeal of the artwork based on the input data. For example, it is capable of producing sophisticated expressions such as, "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surrealist landscape of a dream."

[0665] Creating a social media strategy

[0666] The server then generates an effective social media strategy based on the generated text. This strategy includes the appropriate posting time, hashtags to use, and how to approach the target audience. For example, the server might suggest, "When posting on Instagram, use the hashtag DigitalArt Surrealism ArtOfTheDay and post at 6 p.m."

[0667] Displaying presentation materials

[0668] The generated text and social media strategies are sent back to the device and displayed to the user, who can then view the presentation materials interactively with visual effects via a smartphone or head-mounted display.

[0669] Providing additional materials

[0670] Users can also provide additional materials related to their artworks, such as high-resolution images and videos of the creation process, which are also sent to the server via their devices.

[0671] Scenario generation for work introduction videos

[0672] The server uses a generative AI model based on the additional material to generate a scenario for the work introduction video, which the user can then use video editing software to create.

[0673] Examples of specific examples and prompts

[0674] Specific examples

[0675] A user creates a digital artwork called "Memory of a Psychedelic Dream" and inputs its information. The server then uses a generative AI model to generate the following text: "This digital artwork, 'Memory of a Psychedelic Dream,' vividly depicts a surrealist dreamscape. The colorful colors and intricate details transport the viewer into a fantastical world." Additionally, the server suggests a social media strategy: "When posting to Instagram, use the hashtag DigitalArt Surrealism ArtOfTheDay and post at 6 PM."

[0676] Prompt Sentence Examples

[0677] Create an appealing presentation based on the information about the artwork below and propose an optimal social media strategy. Title: Summer Night View, Concept: The tranquility of the night and the beauty of the starry sky, Technique used: Oil painting, Background story: Inspired by the scenery seen on a summer night.

[0678] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0679] Step 1:

[0680] The user inputs information about the artwork using a smartphone or head-mounted display, including the title, concept, techniques used, background story, etc. The input information is saved on the device in a format that can be stored in a database.

[0681] Step 2:

[0682] The device sends the entered information to the server. At this time, the data is formatted in JSON format. Specifically, the information entered by the user is structured as key-value pairs. This structured data is sent to the server via an HTTP request.

[0683] Step 3:

[0684] The server analyzes the received data. Once the server receives the data, it analyzes it and extracts the necessary information. During this process, it verifies the data format and performs any necessary cleansing, such as filling in missing data or removing unnecessary data.

[0685] Step 4:

[0686] The server inputs the analyzed data into a generative AI model, which then generates text that expresses the appeal of the artwork based on the received data. Specifically, it uses natural language processing technology to generate compelling text from the input data.

[0687] Step 5:

[0688] The server generates a social media posting strategy along with the generated text. Based on the text generated by the generative AI model, it proposes an optimal posting strategy (e.g., posting time, hashtags to use, target demographic, etc.). In this process, the optimal strategy is derived using past data and trend analysis.

[0689] Step 6:

[0690] The server returns the generated text and social media strategy to the device. The server converts the generated content back into JSON format and returns it to the device via an HTTP response. The device parses the received data and displays it to the user.

[0691] Step 7:

[0692] The user provides additional material (such as high-resolution images or videos of the production process) through the device. The user uploads the additional material using the device interface. This material is then retransmitted to the server.

[0693] Step 8:

[0694] The server generates a scenario for the introduction video based on the additional materials received. The server uses a generative AI model to generate a scenario for the introduction video that combines the additional materials and input data. During this process, the scenario is constructed taking visual effects into account.

[0695] Step 9:

[0696] Based on the created scenario, the user uses video editing software to create an introductory video for the work. The user then edits the video according to the scenario and completes the final video.

[0697] Step 10:

[0698] The user posts the completed text and video on social media, following the generated communication strategy and publishing the artwork on social media using appropriate posting times and hashtags.

[0699] 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.

[0700] The present invention relates to a presentation support system that maximizes the appeal of artworks. Specific embodiments of this system are described below. In particular, by combining an emotion engine, flexible presentations based on the user's emotional state can be realized.

[0701] System Overview

[0702] This system inputs information about artworks and uses a generative AI model based on that information to generate various presentation materials (text, strategies, video scenarios, etc.) It also combines an emotion engine to enable customization based on the user's emotional state.

[0703] Program processing

[0704] Enter and submit information

[0705] Users input detailed information about their artwork, including the title, concept, techniques used, background story, etc. This input data is sent to the server via the terminal.

[0706] Receiving and analyzing information

[0707] The server receives the artwork information sent from the device, analyzes the received data, and performs pre-processing to input it into the generative AI model, including text cleaning and conversion.

[0708] Emotion Engine Operation

[0709] The device is equipped with an emotion engine that recognizes the user's emotional state in real time. The emotion engine analyzes the user's facial expressions, tone of voice, and choice of words to understand the user's current emotional state. This emotion data is sent to the server.

[0710] Running and Tuning Generative AI Models

[0711] The server runs a generative AI model based on the preprocessed information and the user's emotional state data to generate compelling sentences. For example, if the user is excited, lively sentences that reflect that excitement are generated. The generative AI model uses natural language processing technology to generate sentences that effectively express the concept and value of the work.

[0712] Creating a social media strategy

[0713] The server also generates an effective social media posting strategy along with the generated text, including the best time to post, hashtags to use, and how to approach the target audience.

[0714] Returning and displaying information

[0715] The generated text and SNS strategy are sent back from the server to the terminal, which receives them and displays them to the user.

[0716] Providing additional materials and generating video scenarios

[0717] Users can provide more detailed information about the artwork, such as high-resolution images or videos of the creation process. These additional materials are sent via the device to the server, which then receives them. Based on the additional materials, the server uses a generative AI model to generate a scenario for a video introducing the artwork. The generated scenario begins with a zoom-in of the finished work, followed by a time-lapse of the creation process, and finally displays the title of the work and the artist's name.

[0718] Video Production and Publishing

[0719] Based on the generated scenario, the user uses video editing software to create an introductory video for the work, and then posts the completed text and video on a social networking site, following the communication strategy suggested by the server.

[0720] Specific examples

[0721] A user creates a digital artwork called "Memories of a Psychedelic Dream" and inputs the information. The device then sends the information to a server, which uses a generative AI model to generate text like this: "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts a surrealist dreamscape. Its vibrant colors and meticulous detail transport the viewer into a fantastical world."

[0722] The emotion engine also recognizes when a user is excited and generates sentences that reflect that emotional state. For example, "This vibrant digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surrealist landscape of a dream!"

[0723] Additionally, as a social media strategy, users are suggested to use the hashtag DigitalArt Surrealism ArtOfTheDay when posting on Instagram and post at 6pm. Users will follow this and post, resulting in increased engagement.

[0724] High-resolution images and videos of the production process are provided as additional materials, and the server generates a video scenario based on these. Users can create a video according to the generated scenario and post it on social media, resulting in a visually appealing presentation.

[0725] As described above, the system of the present invention allows artists to effectively promote their own works and to make flexible presentations that reflect the emotional state of the user.

[0726] The processing flow will be explained below.

[0727] Step 1:

[0728] Users enter details about their artwork, such as the title "Psychedelic Dream Memory," the concept "Surrealist-influenced depiction of a dream memory," and the technique used "Digital Painting."

[0729] Step 2:

[0730] The device sends the entered information to the server, and the data is sent in a structured data format such as JSON.

[0731] Step 3:

[0732] The server receives the artwork information sent from the device and formats and preprocesses the data, including cleaning strings and converting data formats. The preprocessed information is then used as input data for the generative AI model.

[0733] Step 4:

[0734] The device runs an emotion engine that recognizes the user's emotional state in real time. The emotion engine analyzes the user's facial expressions, tone of voice, and input text content to identify the user's emotional state. This emotion data is then sent to the server.

[0735] Step 5:

[0736] Based on the received emotional data, the server adjusts the parameters of the generative AI model to generate engaging sentences that reflect the user's emotional state. For example, if the user is excited, lively sentences that reflect that excitement will be generated.

[0737] Step 6:

[0738] The server simultaneously generates an effective social media strategy, including the best time to post, hashtags to use, and how to approach the target audience.

[0739] Step 7:

[0740] The server sends the generated text and SNS strategy back to the device, which receives it and displays it to the user.

[0741] Step 8:

[0742] Users provide additional materials such as high-resolution images of artworks and videos of the production process. The additional materials are sent to the server via their devices. The material formats are image files and video files.

[0743] Step 9:

[0744] The server uses the received additional materials to generate a scenario for the introductory video using a generative AI model, which begins with a zoom-in of the finished work, a time-lapse of the production process, and finally displays the work title and artist name.

[0745] Step 10:

[0746] Users create an introductory video using video editing software based on the provided scenario, which includes adding text and effects.

[0747] Step 11:

[0748] The user posts the completed text and video to the SNS and follows the communication strategy suggested by the server.

[0749] For example, you could post a video on Instagram with the following text: "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surrealist landscape of a dream." Use appropriate hashtags and time your post to increase engagement and reach a larger audience.

[0750] As described above, the system of the present invention allows artists to effectively promote their own works and to make flexible presentations that reflect the emotional state of the user.

[0751] Example 2

[0752] 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."

[0753] Until now, it has been difficult to effectively present artworks online and customize them to take into account the user's emotional state and communication strategy. It has also been difficult to input information about an artwork and generate compelling text, communication strategies, and even a scenario for an introductory video based on that information.

[0754] 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.

[0755] In this invention, the server includes means for inputting information about the artwork, means for transmitting the input information to the server, means for analyzing the received information and generating attractive text using a generative model, means for recognizing the user's emotional state and analyzing the data, means for adjusting the text based on the emotional data, means for generating a communication strategy for SNS, means for returning the generated text and communication strategy to the terminal, means for providing additional materials for the artwork, and means for generating a scenario for a video introducing the artwork based on the provided materials. This allows users to maximize the appeal of the artwork and make flexible presentations that take into account the user's emotional state and an appropriate communication strategy.

[0756] "Information about the artwork" is detailed data related to the artwork entered by the user, such as the artwork's title, concept, techniques used, and background story.

[0757] "Input means" refers to an interface that allows users to input information about artworks into a terminal, such as a system that includes a text box and a file upload function.

[0758] The "means for sending" is a module with communication functions for sending information about artworks from a terminal to a server, and uses a protocol such as an HTTP POST request.

[0759] "Means for analyzing received information" refers to the process by which the server receives data sent from the terminal and performs any necessary cleaning or pre-processing of the text.

[0760] "Means for generating engaging text using a generative model" refers to the algorithms and systems used by the server to use NLP (natural language processing) techniques to generate engaging descriptions from input information about artworks.

[0761] "Means for recognizing the user's emotional state and analyzing the data" refers to a system in which an emotion recognition engine installed in the device analyzes the user's facial expressions and tone of voice to detect and analyze their emotional state in real time.

[0762] The "means for adjusting text based on emotional data" refers to an algorithm and system for generating text with an appropriate tone and style based on the results of emotional analysis, in accordance with the user's emotional state.

[0763] "Means for generating a social media communication strategy" refers to an algorithm that suggests a social media strategy for effectively disseminating the generated text, including, for example, the optimal posting time and hashtags to use.

[0764] The "means for returning to the terminal" is a module having a communication function for the server to send the generated text and SNS strategy to the terminal.

[0765] "Means for providing additional materials" refers to a system that provides an interface that allows users to upload additional materials, such as high-resolution images and videos of the production process, via their terminals.

[0766] The "means for generating a scenario for a work introduction video based on the provided materials" refers to an algorithm and system in which the server analyzes the additional materials provided by the user and generates a scenario for a work introduction video using a generative AI model.

[0767] This invention relates to a presentation support system that maximizes the appeal of artworks. Based on information about artworks entered by users, the system uses a generative AI model to generate compelling text and social media strategies, and can further customize the system to adapt to the user's emotional state.

[0768] First, the user inputs information about the artwork (e.g., title, concept, technique used, background story, etc.). For example, the user inputs information about a digital artwork called "Memories of a Psychedelic Dream." This information is then sent to the server via the user's device.

[0769] The device collects the input data, formats it in JSON format, and sends it to the server via an HTTP POST request. The server then parses the received data and performs any necessary cleaning or text transformations. This parsing process involves using an NLP library (e.g., spaCy) to tokenize the data and correct any improper characters or formatting.

[0770] The device then uses a camera and microphone to analyze facial expressions and tone of voice to recognize the user's emotional state in real time. This emotion analysis is performed using emotion recognition libraries (e.g., OpenCV, DeepFace, PRAAT). The emotion data is then formatted and sent to the server.

[0771] The server generates prompt sentences using a generative AI model (e.g., GPT-3, BERT) based on the received emotion data and preprocessed text data. The generated sentences are adjusted according to the user's emotional state. For example, if the user is excited, an animated sentence will be generated:

[0772] "This vibrant digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surreal landscape of a dream!"

[0773] The server also suggests effective social media strategies based on the generated text. For example, it suggests using the hashtag "DigitalArt Surrealism ArtOfTheDay" when posting on Instagram and posting at 6 p.m. as the optimal time.

[0774] The generated text and SNS strategy are sent back to the device from the server and displayed to the user. The user can then post to the SNS based on this, which is expected to generate high engagement.

[0775] Additionally, users can upload additional materials, such as high-resolution images and videos of the production process, to their devices. These materials are then sent to the server via the device, which then uses a generative AI model to generate a scenario for the introductory video.

[0776] The generated scenario is as follows:

[0777] "First, a zoomed-in look at the finished work, then a time-lapse of the creation process, and finally the title of the work and the artist's name."

[0778] Users use video editing software (e.g., Adobe Premiere Pro) to create an introductory video based on the generated scenario. By posting the completed text and video on social media and adhering to the communication strategy suggested by the server, a visually appealing presentation can be completed.

[0779] As described above, this system allows users to maximize the appeal of artworks and make flexible presentations that take into account their emotional state and appropriate communication strategies.

[0780] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0781] Step 1:

[0782] The user inputs information about the artwork into the device.

[0783] Users enter details such as the title of the work, concept, techniques used, and background story.

[0784] Example input: Title "Memories of a Psychedelic Dream" and concept "Surrealist Landscape in a Dream."

[0785] Input data: Artwork information in text format.

[0786] Output data: Artwork information formatted in JSON format.

[0787] Step 2:

[0788] The device sends the information to the server

[0789] The device formats the input artwork information in JSON format and sends it to the server via an HTTP POST request.

[0790] Input data: Artwork information entered by the user in JSON format.

[0791] Data processing: Converting text data into JSON format.

[0792] Output: The HTTP POST request sent to the server.

[0793] Step 3:

[0794] The server receives the data from the device.

[0795] The server receives the HTTP request, analyzes the content, and stores it in a database.

[0796] Input data: Artwork information sent from the device.

[0797] Data processing: Saving to database.

[0798] Output data: Saved artwork information.

[0799] Step 4:

[0800] The server preprocesses the data

[0801] The server cleans the received text data and performs preprocessing such as tokenization.

[0802] Software used: NLP library (spaCy).

[0803] Input data: Saved artwork information.

[0804] Data processing: Text cleaning and tokenization.

[0805] Output data: Preprocessed text data.

[0806] Step 5:

[0807] The device recognizes the user's emotional state

[0808] The device uses a camera and microphone to analyze the user's facial expressions and tone of voice to obtain emotional data.

[0809] Hardware used: camera, microphone.

[0810] Software used: Emotion recognition libraries (OpenCV, DeepFace, PRAAT).

[0811] Input data: Real-time video and audio data.

[0812] Data processing: Analysis of facial expressions and tone of voice.

[0813] Output data: Real-time sentiment data.

[0814] Step 6:

[0815] The device sends emotion data to the server.

[0816] The device formats the acquired emotion data into JSON format and sends it to the server via an HTTP POST request.

[0817] Input data: Real-time sentiment data.

[0818] Data processing: Formatting data into JSON format.

[0819] Output: The HTTP POST request sent to the server.

[0820] Step 7:

[0821] The server receives preprocessed information and emotion data.

[0822] The server retrieves the preprocessed text data and emotion data and inputs them into the generative AI model.

[0823] Software used: Generative AI models (GPT-3, BERT).

[0824] Input data: Preprocessed text data and sentiment data.

[0825] Data processing: Shaping data for input into generative AI models.

[0826] Output data: The prompt data required by the generative AI model.

[0827] Step 8:

[0828] The server runs the generative AI model and generates sentences.

[0829] The server runs a generative AI model to generate engaging text, adjusting tone and style based on the user's emotional data.

[0830] Input data: Prompt data.

[0831] Data computation: Text generation using generative AI models.

[0832] Output data: Customized sentences depending on the emotional state.

[0833] Example: "This vibrant digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surreal landscape of a dream!"

[0834] Step 9:

[0835] The server generates the SNS strategy.

[0836] The server proposes an optimal SNS strategy based on the generated text.

[0837] Input data: Generated sentences corresponding to emotional states.

[0838] Data computation: SNS strategy generation algorithm.

[0839] Output: A publishing strategy including optimal posting times, hashtags, and target audience.

[0840] Example: "When posting on Instagram, use the hashtags DigitalArt Surrealism ArtOfTheDay and post at 6pm."

[0841] Step 10:

[0842] The server sends the generated information back to the device

[0843] The server formats the generated text and SNS strategy into JSON format and sends it to the terminal via an HTTP POST request.

[0844] Input data: Generated text and social media strategies.

[0845] Data processing: Formatting data into JSON format.

[0846] Output data: The HTTP POST request sent to the device.

[0847] Step 11:

[0848] The device receives the information and displays it to the user.

[0849] The terminal analyzes the received data and displays it on the screen in a format that is easy for the user to view.

[0850] Input data: JSON data sent from the server.

[0851] Data processing: Transforming data into a user interface.

[0852] Output data: Screen display.

[0853] Step 12:

[0854] Users can upload high-resolution images and videos of the production process to their devices.

[0855] Users upload detailed additional material to their devices, e.g., a one-minute time-lapse video.

[0856] Input data: high-resolution images and videos.

[0857] Data processing: None.

[0858] Output data: Additional material stored on the device.

[0859] Step 13:

[0860] The device sends additional material to the server

[0861] The device compresses the additional material and sends it to the server in an HTTP POST request.

[0862] Input data: high-resolution images and videos.

[0863] Data processing: Data compression and HTTP POST requests.

[0864] Output Data: Additional material sent to the server.

[0865] Step 14:

[0866] The server generates the scenario.

[0867] The server analyzes the additional material and uses a generative AI model to generate a scenario for the work introduction video.

[0868] Input data: high-resolution images and videos.

[0869] Data calculation: Scenario generation using generative AI models.

[0870] Output data: Scenario for the work introduction video.

[0871] Example of generation: "First, zoom in on the finished work, then a time lapse of the creation process, and finally display the work title and artist name."

[0872] Step 15:

[0873] A user creates a video using video editing software

[0874] The user creates an introductory video for the work using video editing software based on the generated scenario.

[0875] Input data: Generated video scenarios.

[0876] Data processing: video editing.

[0877] Output: A video introducing the finished work.

[0878] Step 16:

[0879] The user posts the completed text and video to social media.

[0880] Users post the generated text and video to a social networking site and follow the communication strategy suggested by the server.

[0881] Input data: completed text and work introduction video.

[0882] Data processing: Social media posts.

[0883] Output data: Content published on social media.

[0884] (Application example 2)

[0885] 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."

[0886] Conventional methods have limitations when it comes to presenting artworks in a way that maximizes their appeal and deeply moves viewers. In particular, there is a lack of technology that can provide customized presentations that correspond to the viewer's emotional state, making it difficult to provide an optimal experience for each viewer. For this reason, there has been a strong demand for a system that can automatically generate presentations of artworks that correspond to the emotions of each viewer.

[0887] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting information about the artwork, means for transmitting the input information to the server, means for analyzing the received information and generating attractive text using a generative AI model, means for generating a social media posting strategy, means for returning the generated text and social media strategy to the terminal, means for providing additional images and videos of the artwork, means for generating a scenario for a video introducing the artwork based on the provided materials, means for recognizing emotions in real time, means for adjusting the generative AI model based on the emotion data, and means for providing a customized presentation using the adjusted generative AI model. This enables flexible presentations based on the emotional state of each viewer.

[0888] "Means for inputting information about artworks" refers to devices or software that allow users to input detailed information related to the artworks being exhibited (such as title, concept, technique, background story, etc.).

[0889] The "means for transmitting input information to the server" refers to a communication means for transmitting the input information about the artwork to the server via a network.

[0890] "Means for analyzing received information and generating engaging text using a generative AI model" refers to a means for the server to analyze the information about the artwork received and execute a process for generating engaging text based on that information using a generative AI model (e.g., a natural language processing model).

[0891] The "means for generating a social media communication strategy" is an algorithm that determines the optimal timing, hashtags, and target audience for effectively disseminating the generated text on social media.

[0892] "Means for returning the generated text and SNS strategy to the device" refers to a communication means for sending and displaying the generated text and communication strategy on the device used by the user (smartphone, tablet, etc.).

[0893] The "means for providing additional images and videos of artworks" refers to input and communication means that allow users to upload images and videos related to artworks to the server.

[0894] "Means for generating a scenario for a work introduction video based on provided materials" refers to means for executing a process for automatically generating a scenario for a work introduction video using a generative AI model based on provided additional images and videos.

[0895] The "means for recognizing emotions in real time" refers to means including a sensor, a camera, a microphone, and an analysis algorithm for analyzing the user's facial expressions and tone of voice and recognizing the user's current emotional state in real time.

[0896] The "means for adjusting the generative AI model based on emotional data" refers to a means for executing a process for adapting the output of the generative AI model to the user's emotional data recognized in real time.

[0897] A "means for providing a customized presentation using an adjusted generative AI model" is a means for automatically generating and displaying an attractive presentation optimized for a user using a generative AI model adjusted based on emotional data.

[0898] The system of the present invention is a system that maximizes the appeal of an artwork and provides a presentation that is suited to the emotional state of the viewer. Specific embodiments for implementing this system will be described in detail below.

[0899] The system consists of several major hardware and software components, including an input terminal, a server, an emotion recognition means, a generative AI model, a communication means, and a presentation display means.

[0900] Hardware and software used

[0901] Input device: Smart glasses or smartphone

[0902] Server: Cloud-based server (e.g., Amazon Web Services)

[0903] Emotion recognition methods: camera, microphone, Microsoft Azure Face API

[0904] Generative AI model: OpenAI GPT-4

[0905] Communication methods: Wi-Fi, Bluetooth, 4G / 5G networks

[0906] Presentation display method: Smart glasses (e.g., Google Glass, Microsoft HoloLens)

[0907] Program processing flow

[0908] 1. Enter and submit information:

[0909] The user inputs information about the artwork from an input terminal, including the artwork's title, concept, techniques used, background story, etc.

[0910] The terminal transmits the input information to the server.

[0911] 2. Information analysis and generation:

[0912] The server analyzes the received information and pre-processes it for input into the generative AI model, which includes text cleaning and transformation.

[0913] Based on the preprocessed information, OpenAI GPT-4 is used to generate compelling text to introduce artworks, and prompts are used in the text generation process.

[0914] 3. Emotion recognition:

[0915] Emotion recognition tools (camera and microphone) are used to analyze viewers' facial expressions and tone of voice in real time, using the Microsoft Azure Face API.

[0916] The analyzed emotion data is sent to the server and stored.

[0917] 4. Emotion-based regulation:

[0918] The server adjusts the generative AI model based on the emotional data and generates sentences that best suit the viewer's emotional state.

[0919] As an example, we will use the prompt, "Generate the most appropriate explanatory text for the digital artwork "Memories of a Psychedelic Dream" when the viewer is surprised."

[0920] 5. Generate and return social media strategies:

[0921] The server simultaneously generates an effective social media posting strategy based on the generated text, including the optimal posting time, hashtags, and how to approach the target audience.

[0922] This information is sent back to the terminal and displayed to the user.

[0923] 6. Providing additional materials and generating video scenarios:

[0924] If the user provides more detailed information about the artwork (such as high-resolution images or videos of the creation process), this material is sent to the server via the device.

[0925] Based on these additional materials, the server uses a generative AI model to generate a scenario for the work's introduction video.

[0926] Specific examples

[0927] A user inputs the digital artwork "Memory of a Psychedelic Dream" into an input device. The device sends the information to a server, which uses a generative AI model to generate a sentence like this: "This digital artwork, 'Memory of a Psychedelic Dream,' vividly depicts a fantastical dreamscape. The colorful colors and intricate details invite the viewer into a fantastical world." Using emotion recognition, the server determines the user's emotional state as surprise and generates a sentence that reflects that emotional state. For example, "This dynamic digital artwork, 'Memory of a Psychedelic Dream,' vividly depicts a fantastical dreamscape!" The server then suggests an optimal promotional strategy, such as "Use the hashtag DigitalArt Surrealism ArtOfTheDay when posting on Instagram and post at 6 PM."

[0928] In this way, the system of the present invention allows artists to effectively promote their work and provides flexible presentations that reflect the emotional state of the user.

[0929] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0930] Step 1:

[0931] The user inputs information about the artwork into an input device (smart glasses or smartphone), including the artwork's title, concept, techniques used, background story, etc. The input information is sent from the device to the server as structured data.

[0932] Step 2:

[0933] The server analyzes the received artwork information and performs preprocessing to input it into a generative AI model (OpenAI GPT-4). This preprocessing includes text cleaning, format conversion, noise reduction, etc. The preprocessed data is then input into the generative AI model along with a prompt.

[0934] Step 3:

[0935] The server runs the generative AI model based on the preprocessed information and generates the first description of the artwork, which reads as follows: "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts a fantastical landscape. Its vibrant colors and meticulous details transport the viewer into a dream world."

[0936] Step 4:

[0937] Using emotion recognition means (such as the camera and microphone in the smart glasses), the system analyzes the user's facial expressions and tone of voice in real time to determine their current emotional state. The analysis is performed using the Microsoft Azure Face API. The analysis results are sent to the server as emotional data.

[0938] Step 5:

[0939] Based on the received emotional data, the server adjusts the generative AI model again to generate sentences optimized for the user's emotional state. For example, if the user's emotional state is surprise, the generative AI model will generate a sentence such as, "This vibrant digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts that fantastical landscape!"

[0940] Step 6:

[0941] The server simultaneously generates the generated text and a social media distribution strategy, which includes the optimal posting time, hashtags to use, and how to approach the target audience. For example, it might include information such as, "When posting on Instagram, use the hashtag DigitalArt Surrealism ArtOfTheDay and post at 6 p.m."

[0942] Step 7:

[0943] The server sends the generated text and SNS strategy back to the device, where the information is displayed and the user can check the content.

[0944] Step 8:

[0945] If the user provides additional detailed information about the artwork (such as high-resolution images or videos of the creation process), these materials are sent via the device to the server, which uses the generative AI model to generate a scenario for the artwork introduction video.

[0946] Step 9:

[0947] The server generates a video scenario, and the user uses video editing software (e.g., Adobe Premiere Pro API) to create the final introduction video. The completed video is sent to the device, and the user can post it on social media.

[0948] This makes it possible for the system to provide artwork presentations optimized for each viewer's emotional state and even support social media strategies.

[0949] 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.

[0950] 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.

[0951] 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.

[0952] [Third embodiment]

[0953] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0954] 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.

[0955] 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).

[0956] 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.

[0957] 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.

[0958] 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).

[0959] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0960] 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.

[0961] 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.

[0962] 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.

[0963] 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.

[0964] 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."

[0965] The present invention relates to a presentation support system that maximizes the appeal of artworks. Specific embodiments of this system will be described below.

[0966] System Overview

[0967] This system inputs information about artworks and uses a generative AI model based on that information to generate various presentation materials (text, strategies, video scenarios, etc.) The system provides comprehensive support for artists to effectively promote their works and appeal to a large audience.

[0968] Program processing

[0969] Enter and submit information

[0970] Users input detailed information about their artwork, such as the title, concept, techniques used, background story, etc. This input data is sent to the server via the terminal.

[0971] Receiving and analyzing information

[0972] The server analyzes the information received from the device, which includes formatting the received data (e.g., JSON format) and preprocessing it for input into the generative AI model.

[0973] Running generative AI models

[0974] The server inputs the preprocessed information into a generative AI model to generate compelling presentation text. This AI model utilizes natural language processing technology to generate text that effectively expresses the concept and value of the work.

[0975] Creating a social media strategy

[0976] The server then generates an effective social media strategy along with the generated text, including suggestions on the best time to post, hashtags to use, and how to approach the target audience.

[0977] Returning and displaying information

[0978] The generated text and SNS strategy are sent back from the server to the terminal, and the terminal displays the received information to the user.

[0979] Providing additional materials and generating video scenarios

[0980] Users can provide more detailed information about the artwork (such as high-resolution images or videos of the creation process). These additional materials are sent via the device to the server, which then uses a generative AI model to generate a scenario for the artwork's introductory video.

[0981] Video Production and Publishing

[0982] Based on the generated scenario, the user uses video editing software to create an introductory video for the work, and then posts the completed text and video on a social networking site, following the communication strategy suggested by the server.

[0983] Specific examples

[0984] A user creates a digital artwork called "Memory of a Psychedelic Dream" and inputs the information. The device then sends the information to a server, which uses a generative AI model to generate text like this: "This digital artwork, 'Memory of a Psychedelic Dream,' vividly depicts a surrealist dreamscape. Its vibrant colors and meticulous detail transport the viewer into a fantastical world."

[0985] Additionally, as a social media strategy, users are suggested to use the hashtag DigitalArt Surrealism ArtOfTheDay when posting on Instagram and post at 6pm. Users will follow this and post, resulting in increased engagement.

[0986] High-resolution images and videos of the production process are provided as additional materials, and the server generates a video scenario based on these. Users can create a video according to the generated scenario and post it on social media, resulting in a visually appealing presentation.

[0987] As described above, the system of the present invention allows artists to effectively promote their own works and maximize their appeal.

[0988] The processing flow will be explained below.

[0989] Step 1:

[0990] Users enter detailed information about their artwork, including the title, concept, techniques used, and background story.

[0991] Example: Enter the title of the work as "Psychedelic Dream Memory", the concept as "A depiction of a dream memory influenced by surrealism", and the technique used as "Digital Painting".

[0992] Step 2:

[0993] The device sends the entered information to the server, where the data is sent in a structured data format such as JSON.

[0994] Step 3:

[0995] The server receives the artwork information sent from the device, formats the received data, and pre-processes it for analysis, including text cleaning and conversion.

[0996] Step 4:

[0997] The server inputs the preprocessed information into a generative AI model to generate compelling sentences, which then use natural language processing techniques to generate sentences that effectively express the concept and value of the work.

[0998] Example: Generates the following sentence: "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts a surrealist dreamscape. The vibrant colors and meticulous details transport the viewer into a fantastical world."

[0999] Step 5:

[1000] Based on the generated text, the server generates an effective social media posting strategy, including the best time to post, hashtags to use, and how to approach the target audience.

[1001] For example, it suggests that the best time to post on Instagram is 6pm and that you use the hashtag DigitalArt Surrealism.

[1002] Step 6:

[1003] The server sends the generated text and transmission strategy back to the terminal, which receives it and displays it to the user.

[1004] Step 7:

[1005] Users upload additional materials, such as high-resolution images of artworks and videos of the creation process, to their devices. The devices then send these materials back to the server. The materials are in the form of image files or video files.

[1006] Step 8:

[1007] Based on the additional materials received, the server uses a generative AI model to generate a scenario for an introductory video, which begins with a zoom-in of the finished work, a time-lapse of the production process, and finally displays the work's title and artist's name.

[1008] Step 9:

[1009] Based on the provided scenario, users create an introductory video using video editing software, which includes adding text and effects.

[1010] Step 10:

[1011] The user posts the completed text and video to the SNS and follows the communication strategy suggested by the server.

[1012] For example, you could post a video on Instagram with the following text: "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surrealist landscape of a dream." Use appropriate hashtags and time your post to increase engagement and reach a larger audience.

[1013] As described above, the system of the present invention allows artists to effectively promote their own works and maximize their appeal.

[1014] Example 1

[1015] 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."

[1016] In today's world, artists need advanced presentation skills to effectively promote their work and reach a wide audience. However, many artists lack the technical support and knowledge of social media strategies, making it difficult to maximize the appeal of their work. Furthermore, creating visual presentations using high-resolution images and videos is difficult, creating a demand for technology that can efficiently handle these tasks.

[1017] 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.

[1018] In this invention, the server includes means for inputting information about the artwork, means for transmitting the input information to an information processing device, means for analyzing the received information and generating attractive text using a generative AI model, means for generating a communication strategy for a social network service, means for returning the generated text and communication strategy to the terminal, means for providing additional information about the artwork, and means for generating a scenario for an artwork introduction video based on the provided materials. This allows artists to maximize the appeal of their artwork and effectively communicate it, even without advanced technology.

[1019] "Artwork" is a general term for works of visual art, such as paintings, sculptures, and digital art.

[1020] "Information processing device" refers to a computer or server that receives and analyzes data, executes generative AI models, and so on.

[1021] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to generate sentences based on input information.

[1022] A "social network service" is an online platform that allows users to create personal profiles and share information with other users.

[1023] "Terminal" refers to a device, such as a computer, smartphone, or tablet, that a user uses to input information and receive generated data.

[1024] A "structured data format" is a format that organizes data elements hierarchically according to rules such as JSON and XML.

[1025] "Additional Information" refers to detailed material about the artwork, such as high-resolution images, video, or audio.

[1026] "Scenario" refers to the script or screenplay of a video or presentation created by a generative AI model.

[1027] "Dissemination strategy" refers to proposals that include plans and methods for effectively disseminating information on social networking services.

[1028] The present invention relates to a presentation support system that maximizes the appeal of artworks. Specific embodiments of this system will be described in detail below.

[1029] System Overview

[1030] This system allows users to input information about their artworks, and then uses that information to generate various presentation materials (text, social media strategies, video scenarios, etc.) using a generative AI model. This system allows users to effectively communicate the appeal of their artworks and reach a large audience.

[1031] Hardware and Software

[1032] The main hardware used to implement the system includes terminals (computers, smartphones, tablets, etc. where users input information) and servers (information processing devices that receive and analyze information and run generative AI models).

[1033] The software includes a web interface or mobile application for users to input information, as well as analytics programs and generative AI models (e.g., GPT-4) that run on the server side, and additional software for generating social media strategies.

[1034] Enter and submit information

[1035] Users input detailed information about their artwork, including the title, concept, techniques used, background story, etc. This input data is converted into JSON format and sent to the server via the device.

[1036] Receiving and analyzing information

[1037] The server analyzes the information received from the device. Specifically, it parses the received JSON data, extracts the necessary fields, and formats them. As preprocessing, it also converts the data into a format that is easy for the generative AI model to understand.

[1038] Running generative AI models

[1039] The server inputs the preprocessed information into a generative AI model to generate compelling presentation text that effectively expresses the concept and value of the artwork. This generative AI model utilizes natural language processing technology.

[1040] Creating a social media strategy

[1041] At the same time as generating the text, the server also generates a social media distribution strategy. Specifically, it generates suggestions for the appropriate posting time, hashtags to use, how to approach the target audience, etc. This strategy generation is also done using a generative AI model.

[1042] Returning and displaying information

[1043] The generated text and SNS strategy are sent back from the server to the terminal, and the terminal displays the received information to the user. In the user interface, the generated text is displayed in a text box, and the SNS strategy is displayed in another box.

[1044] Providing additional materials and generating video scenarios

[1045] Users can provide more detailed information about the artwork, such as high-resolution images and videos of the creation process. These additional materials are sent to the server via the device, and the server uses a generative AI model to generate a scenario for the artwork introduction video based on the received materials. This process includes file analysis and prompt generation.

[1046] Video Production and Publishing

[1047] Based on the generated scenario, users create an introductory video for their work using video editing software (e.g., Adobe Premiere Pro). Using the completed text and video, users post the video on social media and follow the communication strategy suggested by the server. This increases engagement and maximizes the appeal of their work.

[1048] Prompt Sentence Examples

[1049] Here are some example prompts that users can enter into a generative AI model:

[1050] "Generate a sentence that effectively conveys the concept and appeal of my work, 'Memories of a Psychedelic Dream'."

[1051] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1052] Step 1:

[1053] The user enters information about the artwork.

[1054] Information entered includes the title of the work, concept, techniques used, background story, etc.

[1055] This information is formatted as JSON data.

[1056] The output is structured JSON data.

[1057] Step 2:

[1058] The terminal sends the JSON data entered by the user to the server.

[1059] Specifically, this data is sent to the server as an HTTP POST request.

[1060] The input is the JSON data mentioned above, and the output is a network request to send the data.

[1061] Step 3:

[1062] The server receives the information sent from the terminal.

[1063] Parse the received JSON data, extract the necessary fields, and format them.

[1064] This provides pre-processed data to input into generative AI models.

[1065] The input is the HTTP request and the output is the preprocessed data.

[1066] Step 4:

[1067] The server inputs the preprocessed data into the generative AI model.

[1068] Specifically, data including prompt sentences is input into a generative AI model (e.g., GPT-4) to generate compelling presentation text.

[1069] The input is the preprocessed data and the output is the generated text.

[1070] Step 5:

[1071] The server generates an SNS strategy based on the generated text.

[1072] This strategy includes the best times to post, the hashtags to use, and how to reach your target audience.

[1073] Generative AI models are again used to suggest appropriate strategies.

[1074] The input is the generated text and the output is the SNS strategy data.

[1075] Step 6:

[1076] The server returns the generated text and SNS strategy to the terminal.

[1077] Specifically, the results are compiled in JSON format and sent to the terminal as an HTTP response.

[1078] The input is a text and a social media strategy, and the output is an HTTP response.

[1079] Step 7:

[1080] The terminal displays the received information to the user.

[1081] The received data is parsed and converted into a format that can be displayed in the user interface.

[1082] It includes a text box to display the generated text and a box to display your social media strategy.

[1083] The input is the HTTP response and the output is the user interface.

[1084] Step 8:

[1085] Users provide additional information about the artwork, such as high-resolution images and videos of the creation process.

[1086] Specifically, you can upload images and videos using the file selection button.

[1087] The input is additional material and the output is a file upload.

[1088] Step 9:

[1089] The terminal transmits the additional material to the server.

[1090] Sends the uploaded file to the server as an HTTP POST request.

[1091] The input is the additional material file, and the output is a network request to send the file.

[1092] Step 10:

[1093] The server generates a video scenario based on the additional material.

[1094] It extracts the necessary information from the images and videos provided and creates scenarios using a generative AI model.

[1095] The input is the additional material file, and the output is the generated video scenario.

[1096] Step 11:

[1097] Based on the generated scenario, the user creates an introductory video for the work using video editing software.

[1098] Use video editing software to edit the video according to the generated scenario.

[1099] The input is a video scenario and the output is the finished video.

[1100] Step 12:

[1101] The user posts the completed text and video to the SNS and follows the communication strategy suggested by the server.

[1102] Specifically, the generated hashtag is used to post on social media.

[1103] The input is the communication strategy and the finished video, and the output is the social media post.

[1104] (Application example 1)

[1105] 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."

[1106] To maximize the appeal of artworks, it is important to effectively present detailed information about the artwork and use visual effects in the presentation. However, for artists to achieve this, advanced skills and knowledge are required, and in many cases, it takes time and effort. It is also difficult to devise an effective communication strategy on social media, and as a result, artworks often do not receive the attention they deserve. There is a need for a system that can solve these problems and widely communicate the appeal of artworks.

[1107] 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.

[1108] In this invention, the server includes means for inputting information about the artwork, means for transmitting the input information to the server, means for analyzing the received information and generating attractive text using a generative AI model, means for generating a social media communication strategy, means for returning the generated text and social media strategy to the terminal, means for providing additional images and videos of the artwork, means for generating a scenario for a video introducing the artwork based on the provided materials, means for displaying the generated presentation materials using visual effects, and means for the user to interactively operate using a smart device. This enables artists to generate effective presentation materials and communication strategies and maximize the appeal of their artworks by utilizing visual effects, even if they do not have advanced knowledge or skills.

[1109] "Information about an artwork" refers to detailed data about the artwork, such as its title, concept, techniques used, and background story.

[1110] "Means of input" refers to the interface or device through which a user can input information about an artwork.

[1111] The "means for transmitting to the server" refers to a communication means for transmitting the input information as data to a remote server.

[1112] "Means for analyzing received information" refers to the technology or method by which the server converts the data it receives into an understandable format and performs appropriate processing.

[1113] A "generative AI model" is a model that uses artificial intelligence to generate outputs from data that fit a specific purpose.

[1114] "Means for generating compelling text" refers to methods and technologies that use generative AI models to generate text that effectively conveys the appeal of artworks.

[1115] "Means for generating a communication strategy on social media" refers to technologies and systems that propose effective promotional methods on social media.

[1116] "Means for sending back to the terminal" refers to the communication means for sending the generated text and communication strategy back to the user's terminal.

[1117] "Means for providing additional images or videos of the Artwork" means an interface or functionality that allows a user to provide additional visual material related to the Artwork.

[1118] "Means for generating a scenario for a video introducing an artwork" refers to a method or technology for generating a video scenario for introducing an artwork based on additional materials provided.

[1119] "Means for displaying the generated presentation materials based on visual effects" refers to technology or a system for displaying the generated presentation materials in a visually easy-to-understand and attractive manner.

[1120] "Means for users to interact with smart devices" refers to interfaces and technologies that allow users to intuitively operate a system using devices such as smartphones or head-mounted displays.

[1121] The present invention relates to a presentation support system that maximizes the appeal of artworks. The system combines user input, data analysis, the use of generative AI models, and visual presentation display. This section describes a specific embodiment of the system.

[1122] System configuration

[1123] User Interface (UI)

[1124] Users can input information about artworks via smartphones or head-mounted displays, providing detailed information such as the artwork's title, concept, techniques used, background story, etc. The UI is visually easy to understand and intuitive to operate.

[1125] Data transmission and analysis

[1126] Information entered by the user is sent from the device to the server. The sent data is formatted into JSON format on the server side. The server receives this formatted data and performs preprocessing to input it into the generative AI model.

[1127] Leveraging generative AI models

[1128] The server inputs the preprocessed data into a generative AI model. The generative AI model then generates text that effectively expresses the appeal of the artwork based on the input data. For example, it is capable of producing sophisticated expressions such as, "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surrealist landscape of a dream."

[1129] Creating a social media strategy

[1130] The server then generates an effective social media strategy based on the generated text. This strategy includes the appropriate posting time, hashtags to use, and how to approach the target audience. For example, the server might suggest, "When posting on Instagram, use the hashtag DigitalArt Surrealism ArtOfTheDay and post at 6 p.m."

[1131] Displaying presentation materials

[1132] The generated text and social media strategies are sent back to the device and displayed to the user, who can then view the presentation materials interactively with visual effects via a smartphone or head-mounted display.

[1133] Providing additional materials

[1134] Users can also provide additional materials related to their artworks, such as high-resolution images and videos of the creation process, which are also sent to the server via their devices.

[1135] Scenario generation for work introduction videos

[1136] The server uses a generative AI model based on the additional material to generate a scenario for the work introduction video, which the user can then use video editing software to create.

[1137] Examples of specific examples and prompts

[1138] Specific examples

[1139] A user creates a digital artwork called "Memory of a Psychedelic Dream" and inputs its information. The server then uses a generative AI model to generate the following text: "This digital artwork, 'Memory of a Psychedelic Dream,' vividly depicts a surrealist dreamscape. The colorful colors and intricate details transport the viewer into a fantastical world." Additionally, the server suggests a social media strategy: "When posting to Instagram, use the hashtag DigitalArt Surrealism ArtOfTheDay and post at 6 PM."

[1140] Prompt Sentence Examples

[1141] Create an appealing presentation based on the information about the artwork below and propose an optimal social media strategy. Title: Summer Night View, Concept: The tranquility of the night and the beauty of the starry sky, Technique used: Oil painting, Background story: Inspired by the scenery seen on a summer night.

[1142] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1143] Step 1:

[1144] The user inputs information about the artwork using a smartphone or head-mounted display, including the title, concept, techniques used, background story, etc. The input information is saved on the device in a format that can be stored in a database.

[1145] Step 2:

[1146] The device sends the entered information to the server. At this time, the data is formatted in JSON format. Specifically, the information entered by the user is structured as key-value pairs. This structured data is sent to the server via an HTTP request.

[1147] Step 3:

[1148] The server analyzes the received data. Once the server receives the data, it analyzes it and extracts the necessary information. During this process, it verifies the data format and performs any necessary cleansing, such as filling in missing data or removing unnecessary data.

[1149] Step 4:

[1150] The server inputs the analyzed data into a generative AI model, which then generates text that expresses the appeal of the artwork based on the received data. Specifically, it uses natural language processing technology to generate compelling text from the input data.

[1151] Step 5:

[1152] The server generates a social media posting strategy along with the generated text. Based on the text generated by the generative AI model, it proposes an optimal posting strategy (e.g., posting time, hashtags to use, target demographic, etc.). In this process, the optimal strategy is derived using past data and trend analysis.

[1153] Step 6:

[1154] The server returns the generated text and social media strategy to the device. The server converts the generated content back into JSON format and returns it to the device via an HTTP response. The device parses the received data and displays it to the user.

[1155] Step 7:

[1156] The user provides additional material (such as high-resolution images or videos of the production process) through the device. The user uploads the additional material using the device interface. This material is then retransmitted to the server.

[1157] Step 8:

[1158] The server generates a scenario for the introduction video based on the additional materials received. The server uses a generative AI model to generate a scenario for the introduction video that combines the additional materials and input data. During this process, the scenario is constructed taking visual effects into account.

[1159] Step 9:

[1160] Based on the created scenario, the user uses video editing software to create an introductory video for the work. The user then edits the video according to the scenario and completes the final video.

[1161] Step 10:

[1162] The user posts the completed text and video on social media, following the generated communication strategy and publishing the artwork on social media using appropriate posting times and hashtags.

[1163] 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.

[1164] The present invention relates to a presentation support system that maximizes the appeal of artworks. Specific embodiments of this system are described below. In particular, by combining an emotion engine, flexible presentations based on the user's emotional state can be realized.

[1165] System Overview

[1166] This system inputs information about artworks and uses a generative AI model based on that information to generate various presentation materials (text, strategies, video scenarios, etc.) It also combines an emotion engine to enable customization based on the user's emotional state.

[1167] Program processing

[1168] Enter and submit information

[1169] Users input detailed information about their artwork, including the title, concept, techniques used, background story, etc. This input data is sent to the server via the terminal.

[1170] Receiving and analyzing information

[1171] The server receives the artwork information sent from the device, analyzes the received data, and performs pre-processing to input it into the generative AI model, including text cleaning and conversion.

[1172] Emotion Engine Operation

[1173] The device is equipped with an emotion engine that recognizes the user's emotional state in real time. The emotion engine analyzes the user's facial expressions, tone of voice, and choice of words to understand the user's current emotional state. This emotion data is sent to the server.

[1174] Running and Tuning Generative AI Models

[1175] The server runs a generative AI model based on the preprocessed information and the user's emotional state data to generate compelling sentences. For example, if the user is excited, lively sentences that reflect that excitement are generated. The generative AI model uses natural language processing technology to generate sentences that effectively express the concept and value of the work.

[1176] Creating a social media strategy

[1177] The server also generates an effective social media posting strategy along with the generated text, including the best time to post, hashtags to use, and how to approach the target audience.

[1178] Returning and displaying information

[1179] The generated text and SNS strategy are sent back from the server to the terminal, which receives them and displays them to the user.

[1180] Providing additional materials and generating video scenarios

[1181] Users can provide more detailed information about the artwork, such as high-resolution images or videos of the creation process. These additional materials are sent via the device to the server, which then receives them. Based on the additional materials, the server uses a generative AI model to generate a scenario for a video introducing the artwork. The generated scenario begins with a zoom-in of the finished work, followed by a time-lapse of the creation process, and finally displays the title of the work and the artist's name.

[1182] Video Production and Publishing

[1183] Based on the generated scenario, the user uses video editing software to create an introductory video for the work, and then posts the completed text and video on a social networking site, following the communication strategy suggested by the server.

[1184] Specific examples

[1185] A user creates a digital artwork called "Memories of a Psychedelic Dream" and inputs the information. The device then sends the information to a server, which uses a generative AI model to generate text like this: "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts a surrealist dreamscape. Its vibrant colors and meticulous detail transport the viewer into a fantastical world."

[1186] The emotion engine also recognizes when a user is excited and generates sentences that reflect that emotional state. For example, "This vibrant digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surrealist landscape of a dream!"

[1187] Additionally, as a social media strategy, users are suggested to use the hashtag DigitalArt Surrealism ArtOfTheDay when posting on Instagram and post at 6pm. Users will follow this and post, resulting in increased engagement.

[1188] High-resolution images and videos of the production process are provided as additional materials, and the server generates a video scenario based on these. Users can create a video according to the generated scenario and post it on social media, resulting in a visually appealing presentation.

[1189] As described above, the system of the present invention allows artists to effectively promote their own works and to make flexible presentations that reflect the emotional state of the user.

[1190] The processing flow will be explained below.

[1191] Step 1:

[1192] Users enter details about their artwork, such as the title "Psychedelic Dream Memory," the concept "Surrealist-influenced depiction of a dream memory," and the technique used "Digital Painting."

[1193] Step 2:

[1194] The device sends the entered information to the server, and the data is sent in a structured data format such as JSON.

[1195] Step 3:

[1196] The server receives the artwork information sent from the device and formats and preprocesses the data, including cleaning strings and converting data formats. The preprocessed information is then used as input data for the generative AI model.

[1197] Step 4:

[1198] The device runs an emotion engine that recognizes the user's emotional state in real time. The emotion engine analyzes the user's facial expressions, tone of voice, and input text content to identify the user's emotional state. This emotion data is then sent to the server.

[1199] Step 5:

[1200] Based on the received emotional data, the server adjusts the parameters of the generative AI model to generate engaging sentences that reflect the user's emotional state. For example, if the user is excited, lively sentences that reflect that excitement will be generated.

[1201] Step 6:

[1202] The server simultaneously generates an effective social media strategy, including the best time to post, hashtags to use, and how to approach the target audience.

[1203] Step 7:

[1204] The server sends the generated text and SNS strategy back to the device, which receives it and displays it to the user.

[1205] Step 8:

[1206] Users provide additional materials such as high-resolution images of artworks and videos of the production process. The additional materials are sent to the server via their devices. The material formats are image files and video files.

[1207] Step 9:

[1208] The server uses the received additional materials to generate a scenario for the introductory video using a generative AI model, which begins with a zoom-in of the finished work, a time-lapse of the production process, and finally displays the work title and artist name.

[1209] Step 10:

[1210] Users create an introductory video using video editing software based on the provided scenario, which includes adding text and effects.

[1211] Step 11:

[1212] The user posts the completed text and video to the SNS and follows the communication strategy suggested by the server.

[1213] For example, you could post a video on Instagram with the following text: "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surrealist landscape of a dream." Use appropriate hashtags and time your post to increase engagement and reach a larger audience.

[1214] As described above, the system of the present invention allows artists to effectively promote their own works and to make flexible presentations that reflect the emotional state of the user.

[1215] Example 2

[1216] 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."

[1217] Until now, it has been difficult to effectively present artworks online and customize them to take into account the user's emotional state and communication strategy. It has also been difficult to input information about an artwork and generate compelling text, communication strategies, and even a scenario for an introductory video based on that information.

[1218] 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.

[1219] In this invention, the server includes means for inputting information about the artwork, means for transmitting the input information to the server, means for analyzing the received information and generating attractive text using a generative model, means for recognizing the user's emotional state and analyzing the data, means for adjusting the text based on the emotional data, means for generating a communication strategy for SNS, means for returning the generated text and communication strategy to the terminal, means for providing additional materials for the artwork, and means for generating a scenario for a video introducing the artwork based on the provided materials. This allows users to maximize the appeal of the artwork and make flexible presentations that take into account the user's emotional state and an appropriate communication strategy.

[1220] "Information about the artwork" is detailed data related to the artwork entered by the user, such as the artwork's title, concept, techniques used, and background story.

[1221] "Input means" refers to an interface that allows users to input information about artworks into a terminal, such as a system that includes a text box and a file upload function.

[1222] The "means for sending" is a module with communication functions for sending information about artworks from a terminal to a server, and uses a protocol such as an HTTP POST request.

[1223] "Means for analyzing received information" refers to the process by which the server receives data sent from the terminal and performs any necessary cleaning or pre-processing of the text.

[1224] "Means for generating engaging text using a generative model" refers to the algorithms and systems used by the server to use NLP (natural language processing) techniques to generate engaging descriptions from input information about artworks.

[1225] "Means for recognizing the user's emotional state and analyzing the data" refers to a system in which an emotion recognition engine installed in the device analyzes the user's facial expressions and tone of voice to detect and analyze their emotional state in real time.

[1226] The "means for adjusting text based on emotional data" refers to an algorithm and system for generating text with an appropriate tone and style based on the results of emotional analysis, in accordance with the user's emotional state.

[1227] "Means for generating a social media communication strategy" refers to an algorithm that suggests a social media strategy for effectively disseminating the generated text, including, for example, the optimal posting time and hashtags to use.

[1228] The "means for returning to the terminal" is a module having a communication function for the server to send the generated text and SNS strategy to the terminal.

[1229] "Means for providing additional materials" refers to a system that provides an interface that allows users to upload additional materials, such as high-resolution images and videos of the production process, via their terminals.

[1230] The "means for generating a scenario for a work introduction video based on the provided materials" refers to an algorithm and system in which the server analyzes additional materials provided by the user and generates a scenario for a work introduction video using a generative AI model.

[1231] This invention relates to a presentation support system that maximizes the appeal of artworks. Based on information about artworks entered by users, the system uses a generative AI model to generate compelling text and social media strategies, and can further customize the system to adapt to the user's emotional state.

[1232] First, the user inputs information about the artwork (e.g., title, concept, technique used, background story, etc.). For example, the user inputs information about a digital artwork called "Memories of a Psychedelic Dream." This information is then sent to the server via the user's device.

[1233] The device collects the input data, formats it in JSON format, and sends it to the server via an HTTP POST request. The server then parses the received data and performs any necessary cleaning or text transformations. This parsing process involves using an NLP library (e.g., spaCy) to tokenize the data and correct any improper characters or formatting.

[1234] The device then uses a camera and microphone to analyze facial expressions and tone of voice to recognize the user's emotional state in real time. This emotion analysis is performed using emotion recognition libraries (e.g., OpenCV, DeepFace, PRAAT). The emotion data is then formatted and sent to the server.

[1235] The server generates prompt sentences using a generative AI model (e.g., GPT-3, BERT) based on the received emotion data and preprocessed text data. The generated sentences are adjusted according to the user's emotional state. For example, if the user is excited, an animated sentence will be generated:

[1236] "This vibrant digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surreal landscape of a dream!"

[1237] The server also suggests effective social media strategies based on the generated text. For example, it suggests using the hashtag "DigitalArt Surrealism ArtOfTheDay" when posting on Instagram and posting at 6 p.m. as the optimal time.

[1238] The generated text and SNS strategy are sent back to the device from the server and displayed to the user. The user can then post to SNS based on this, which is expected to generate high engagement.

[1239] Additionally, users can upload additional materials, such as high-resolution images and videos of the production process, to their devices. These materials are then sent to the server, which uses a generative AI model to generate a scenario for the introductory video.

[1240] The generated scenario is as follows:

[1241] "First, a zoomed-in look at the finished work, then a time-lapse of the creation process, and finally the title of the work and the artist's name."

[1242] Users use video editing software (e.g., Adobe Premiere Pro) to create an introductory video based on the generated scenario. By posting the completed text and video on social media and adhering to the communication strategy suggested by the server, a visually appealing presentation can be completed.

[1243] As described above, this system allows users to maximize the appeal of artworks and make flexible presentations that take into account their emotional state and appropriate communication strategies.

[1244] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1245] Step 1:

[1246] The user inputs information about the artwork into the device.

[1247] Users enter details such as the title of the work, concept, techniques used, and background story.

[1248] Example input: Title "Memories of a Psychedelic Dream" and concept "Surrealist Landscape in a Dream."

[1249] Input data: Artwork information in text format.

[1250] Output data: Artwork information formatted in JSON format.

[1251] Step 2:

[1252] The device sends the information to the server

[1253] The device formats the input artwork information in JSON format and sends it to the server via an HTTP POST request.

[1254] Input data: Artwork information entered by the user in JSON format.

[1255] Data processing: Converting text data into JSON format.

[1256] Output: The HTTP POST request sent to the server.

[1257] Step 3:

[1258] The server receives the data from the device.

[1259] The server receives the HTTP request, analyzes the content, and stores it in a database.

[1260] Input data: Artwork information sent from the device.

[1261] Data processing: Saving to database.

[1262] Output data: Saved artwork information.

[1263] Step 4:

[1264] The server preprocesses the data

[1265] The server cleans the received text data and performs preprocessing such as tokenization.

[1266] Software used: NLP library (spaCy).

[1267] Input data: Saved artwork information.

[1268] Data processing: Text cleaning and tokenization.

[1269] Output data: Preprocessed text data.

[1270] Step 5:

[1271] The device recognizes the user's emotional state

[1272] The device uses a camera and microphone to analyze the user's facial expressions and tone of voice to obtain emotional data.

[1273] Hardware used: camera, microphone.

[1274] Software used: Emotion recognition libraries (OpenCV, DeepFace, PRAAT).

[1275] Input data: Real-time video and audio data.

[1276] Data processing: Analysis of facial expressions and tone of voice.

[1277] Output data: Real-time sentiment data.

[1278] Step 6:

[1279] The device sends emotion data to the server.

[1280] The device formats the acquired emotion data into JSON format and sends it to the server via an HTTP POST request.

[1281] Input data: Real-time sentiment data.

[1282] Data processing: Formatting data into JSON format.

[1283] Output: The HTTP POST request sent to the server.

[1284] Step 7:

[1285] The server receives preprocessed information and emotion data.

[1286] The server retrieves the preprocessed text data and emotion data and inputs them into the generative AI model.

[1287] Software used: Generative AI models (GPT-3, BERT).

[1288] Input data: Preprocessed text data and sentiment data.

[1289] Data processing: Shaping data for input into generative AI models.

[1290] Output data: The prompt data required by the generative AI model.

[1291] Step 8:

[1292] The server runs the generative AI model and generates sentences.

[1293] The server runs a generative AI model to generate engaging text, adjusting tone and style based on the user's emotional data.

[1294] Input data: Prompt data.

[1295] Data computation: Text generation using generative AI models.

[1296] Output data: Customized sentences depending on the emotional state.

[1297] Example: "This vibrant digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surreal landscape of a dream!"

[1298] Step 9:

[1299] The server generates the SNS strategy.

[1300] The server proposes an optimal SNS strategy based on the generated text.

[1301] Input data: Generated sentences corresponding to emotional states.

[1302] Data computation: SNS strategy generation algorithm.

[1303] Output: A publishing strategy including optimal posting times, hashtags, and target audience.

[1304] Example: "When posting on Instagram, use the hashtags DigitalArt Surrealism ArtOfTheDay and post at 6pm."

[1305] Step 10:

[1306] The server sends the generated information back to the device

[1307] The server formats the generated text and SNS strategy into JSON format and sends it to the terminal via an HTTP POST request.

[1308] Input data: Generated text and social media strategies.

[1309] Data processing: Formatting data into JSON format.

[1310] Output data: The HTTP POST request sent to the device.

[1311] Step 11:

[1312] The device receives the information and displays it to the user.

[1313] The terminal analyzes the received data and displays it on the screen in a format that is easy for the user to view.

[1314] Input data: JSON data sent from the server.

[1315] Data processing: Transforming data into a user interface.

[1316] Output data: Screen display.

[1317] Step 12:

[1318] Users can upload high-resolution images and videos of the production process to their devices.

[1319] Users upload detailed additional material to their devices, e.g., a one-minute time-lapse video.

[1320] Input data: high-resolution images and videos.

[1321] Data processing: None.

[1322] Output data: Additional material stored on the device.

[1323] Step 13:

[1324] The device sends additional material to the server

[1325] The device compresses the additional material and sends it to the server in an HTTP POST request.

[1326] Input data: high-resolution images and videos.

[1327] Data processing: Data compression and HTTP POST requests.

[1328] Output Data: Additional material sent to the server.

[1329] Step 14:

[1330] The server generates the scenario.

[1331] The server analyzes the additional material and uses a generative AI model to generate a scenario for the work introduction video.

[1332] Input data: high-resolution images and videos.

[1333] Data calculation: Scenario generation using generative AI models.

[1334] Output data: Scenario for the work introduction video.

[1335] Example of generation: "First, zoom in on the finished work, then a time lapse of the creation process, and finally display the work title and artist name."

[1336] Step 15:

[1337] A user creates a video using video editing software

[1338] The user creates an introductory video for the work using video editing software based on the generated scenario.

[1339] Input data: Generated video scenarios.

[1340] Data processing: video editing.

[1341] Output: A video introducing the finished work.

[1342] Step 16:

[1343] The user posts the completed text and video to social media.

[1344] Users post the generated text and video to a social networking site and follow the communication strategy suggested by the server.

[1345] Input data: completed text and work introduction video.

[1346] Data processing: Social media posts.

[1347] Output data: Content published on social media.

[1348] (Application example 2)

[1349] 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."

[1350] Conventional methods have limitations when it comes to presenting artworks in a way that maximizes their appeal and deeply moves viewers. In particular, there is a lack of technology that can provide customized presentations that correspond to the viewer's emotional state, making it difficult to provide an optimal experience for each viewer. For this reason, there has been a strong demand for a system that can automatically generate presentations of artworks that correspond to the emotions of each viewer.

[1351] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting information about the artwork, means for transmitting the input information to the server, means for analyzing the received information and generating attractive text using a generative AI model, means for generating a social media posting strategy, means for returning the generated text and social media strategy to the terminal, means for providing additional images and videos of the artwork, means for generating a scenario for a video introducing the artwork based on the provided materials, means for recognizing emotions in real time, means for adjusting the generative AI model based on the emotion data, and means for providing a customized presentation using the adjusted generative AI model. This enables flexible presentations based on the emotional state of each viewer.

[1352] "Means for inputting information about artworks" refers to devices or software that allow users to input detailed information related to the artworks being exhibited (such as title, concept, technique, background story, etc.).

[1353] The "means for transmitting input information to the server" refers to a communication means for transmitting the input information about the artwork to the server via the network.

[1354] "Means for analyzing received information and generating engaging text using a generative AI model" refers to a means for the server to analyze the information about the artwork received and execute a process for generating engaging text based on that information using a generative AI model (e.g., a natural language processing model).

[1355] The "means for generating a social media communication strategy" is an algorithm that determines the optimal timing, hashtags, and target audience for effectively disseminating the generated text on social media.

[1356] "Means for returning the generated text and SNS strategy to the device" refers to a communication means for sending and displaying the generated text and communication strategy on the device used by the user (smartphone, tablet, etc.).

[1357] The "means for providing additional images and videos of artworks" refers to input and communication means that allow users to upload images and videos related to artworks to the server.

[1358] "Means for generating a scenario for a work introduction video based on provided materials" refers to means for executing a process for automatically generating a scenario for a work introduction video using a generative AI model based on provided additional images and videos.

[1359] The "means for recognizing emotions in real time" refers to means including a sensor, a camera, a microphone, and an analysis algorithm for analyzing the user's facial expressions and tone of voice and recognizing the user's current emotional state in real time.

[1360] The "means for adjusting the generative AI model based on emotional data" refers to a means for executing a process for adapting the output of the generative AI model to the user's emotional data recognized in real time.

[1361] A "means for providing a customized presentation using an adjusted generative AI model" is a means for automatically generating and displaying an attractive presentation optimized for a user using a generative AI model adjusted based on emotional data.

[1362] The system of the present invention is a system that maximizes the appeal of an artwork and provides a presentation that is suited to the emotional state of the viewer. Specific embodiments for implementing this system will be described in detail below.

[1363] The system consists of several major hardware and software components, including an input terminal, a server, an emotion recognition means, a generative AI model, a communication means, and a presentation display means.

[1364] Hardware and software used

[1365] Input device: Smart glasses or smartphone

[1366] Server: Cloud-based server (e.g., Amazon Web Services)

[1367] Emotion recognition methods: camera, microphone, Microsoft Azure Face API

[1368] Generative AI model: OpenAI GPT-4

[1369] Communication methods: Wi-Fi, Bluetooth, 4G / 5G networks

[1370] Presentation display method: Smart glasses (e.g., Google Glass, Microsoft HoloLens)

[1371] Program processing flow

[1372] 1. Enter and submit information:

[1373] The user inputs information about the artwork from an input terminal, including the artwork's title, concept, techniques used, background story, etc.

[1374] The terminal transmits the input information to the server.

[1375] 2. Information analysis and generation:

[1376] The server analyzes the received information and pre-processes it for input into the generative AI model, which includes text cleaning and transformation.

[1377] Based on the preprocessed information, OpenAI GPT-4 is used to generate compelling text to introduce artworks, and prompts are used in the text generation process.

[1378] 3. Emotion recognition:

[1379] Emotion recognition tools (camera and microphone) are used to analyze viewers' facial expressions and tone of voice in real time, using the Microsoft Azure Face API.

[1380] The analyzed emotion data is sent to the server and stored.

[1381] 4. Emotion-based regulation:

[1382] The server adjusts the generative AI model based on the emotional data and generates sentences that best suit the viewer's emotional state.

[1383] As an example, we will use the prompt, "Generate the most appropriate explanatory text for the digital artwork "Memories of a Psychedelic Dream" when the viewer is surprised."

[1384] 5. Generate and return social media strategies:

[1385] The server simultaneously generates an effective social media posting strategy based on the generated text, including the optimal posting time, hashtags, and how to approach the target audience.

[1386] This information is sent back to the terminal and displayed to the user.

[1387] 6. Providing additional materials and generating video scenarios:

[1388] If the user provides more detailed information about the artwork (such as high-resolution images or videos of the creation process), this material is sent to the server via the device.

[1389] Based on these additional materials, the server uses a generative AI model to generate a scenario for the work's introduction video.

[1390] Specific examples

[1391] A user inputs the digital artwork "Memory of a Psychedelic Dream" into an input device. The device sends the information to a server, which uses a generative AI model to generate a sentence like this: "This digital artwork, 'Memory of a Psychedelic Dream,' vividly depicts a fantastical dreamscape. The colorful colors and intricate details invite the viewer into a fantastical world." Using emotion recognition, the server determines the user's emotional state as surprise and generates a sentence that reflects that emotional state. For example, "This dynamic digital artwork, 'Memory of a Psychedelic Dream,' vividly depicts a fantastical dreamscape!" The server then suggests an optimal promotional strategy, such as "Use the hashtag DigitalArt Surrealism ArtOfTheDay when posting on Instagram and post at 6 PM."

[1392] In this way, the system of the present invention allows artists to effectively promote their work and provides flexible presentations that reflect the emotional state of the user.

[1393] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1394] Step 1:

[1395] The user inputs information about the artwork into an input device (smart glasses or smartphone), including the artwork's title, concept, techniques used, background story, etc. The input information is sent from the device to the server as structured data.

[1396] Step 2:

[1397] The server analyzes the received artwork information and pre-processes it for input into the generative AI model (OpenAI GPT-4). This pre-processing includes text cleaning, format conversion, noise reduction, etc. The pre-processed data is then input into the generative AI model along with a prompt.

[1398] Step 3:

[1399] The server runs the generative AI model based on the preprocessed information and generates the first description of the artwork, which reads as follows: "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts a fantastical landscape. Its vibrant colors and meticulous details transport the viewer into a dream world."

[1400] Step 4:

[1401] Using emotion recognition means (such as the camera and microphone in the smart glasses), the system analyzes the user's facial expressions and tone of voice in real time to determine their current emotional state. The analysis is performed using the Microsoft Azure Face API. The analysis results are sent to the server as emotional data.

[1402] Step 5:

[1403] Based on the received emotional data, the server adjusts the generative AI model again to generate sentences optimized for the user's emotional state. For example, if the user's emotional state is surprise, the generative AI model will generate a sentence such as, "This vibrant digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts that fantastical landscape!"

[1404] Step 6:

[1405] The server simultaneously generates the generated text and a social media distribution strategy, which includes the optimal posting time, hashtags to use, and how to approach the target audience. For example, it might include information such as, "When posting on Instagram, use the hashtag DigitalArt Surrealism ArtOfTheDay and post at 6 p.m."

[1406] Step 7:

[1407] The server sends the generated text and SNS strategy back to the device, where the information is displayed and the user can check the content.

[1408] Step 8:

[1409] If the user provides additional detailed information about the artwork (such as high-resolution images or videos of the creation process), these materials are sent via the device to the server, which uses the generative AI model to generate a scenario for the artwork introduction video.

[1410] Step 9:

[1411] The server generates a video scenario, and the user uses video editing software (e.g., Adobe Premiere Pro API) to create the final introduction video. The completed video is sent to the device, and the user can post it on social media.

[1412] This makes it possible for the system to provide artwork presentations optimized for each viewer's emotional state and even support social media strategies.

[1413] 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.

[1414] 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.

[1415] 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.

[1416] [Fourth embodiment]

[1417] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1418] 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.

[1419] 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).

[1420] 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.

[1421] 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.

[1422] 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).

[1423] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1424] 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.

[1425] 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.

[1426] 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.

[1427] 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.

[1428] 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.

[1429] 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."

[1430] The present invention relates to a presentation support system that maximizes the appeal of artworks. Specific embodiments of this system will be described below.

[1431] System Overview

[1432] This system inputs information about artworks and uses a generative AI model based on that information to generate various presentation materials (text, strategies, video scenarios, etc.) The system provides comprehensive support for artists to effectively promote their works and appeal to a large audience.

[1433] Program processing

[1434] Enter and submit information

[1435] Users input detailed information about their artwork, such as the title, concept, techniques used, background story, etc. This input data is sent to the server via the terminal.

[1436] Receiving and analyzing information

[1437] The server analyzes the information received from the device, which includes formatting the received data (e.g., JSON format) and preprocessing it for input into the generative AI model.

[1438] Running generative AI models

[1439] The server inputs the preprocessed information into a generative AI model to generate compelling presentation text. This AI model utilizes natural language processing technology to generate text that effectively expresses the concept and value of the work.

[1440] Creating a social media strategy

[1441] The server then generates an effective social media strategy along with the generated text, including suggestions on the best time to post, hashtags to use, and how to approach the target audience.

[1442] Returning and displaying information

[1443] The generated text and SNS strategy are sent back from the server to the terminal, and the terminal displays the received information to the user.

[1444] Providing additional materials and generating video scenarios

[1445] Users can provide more detailed information about the artwork (such as high-resolution images or videos of the creation process). These additional materials are sent via the device to the server, which then uses a generative AI model to generate a scenario for the artwork's introductory video.

[1446] Video Production and Publishing

[1447] Based on the generated scenario, the user uses video editing software to create an introductory video for the work, and then posts the completed text and video on a social networking site, following the communication strategy suggested by the server.

[1448] Specific examples

[1449] A user creates a digital artwork called "Memory of a Psychedelic Dream" and inputs the information. The device then sends the information to a server, which uses a generative AI model to generate text like this: "This digital artwork, 'Memory of a Psychedelic Dream,' vividly depicts a surrealist dreamscape. Its vibrant colors and meticulous detail transport the viewer into a fantastical world."

[1450] Additionally, as a social media strategy, users are suggested to use the hashtag DigitalArt Surrealism ArtOfTheDay when posting on Instagram and post at 6pm. Users will follow this and post, resulting in increased engagement.

[1451] High-resolution images and videos of the production process are provided as additional materials, and the server generates a video scenario based on these. Users can create a video according to the generated scenario and post it on social media, resulting in a visually appealing presentation.

[1452] As described above, the system of the present invention allows artists to effectively promote their own works and maximize their appeal.

[1453] The processing flow will be explained below.

[1454] Step 1:

[1455] Users enter detailed information about their artwork, including the title, concept, techniques used, and background story.

[1456] Example: Enter the title of the work as "Psychedelic Dream Memory", the concept as "A depiction of a dream memory influenced by surrealism", and the technique used as "Digital Painting".

[1457] Step 2:

[1458] The device sends the entered information to the server, where the data is sent in a structured data format such as JSON.

[1459] Step 3:

[1460] The server receives the artwork information sent from the device, formats the received data, and pre-processes it for analysis, including text cleaning and conversion.

[1461] Step 4:

[1462] The server inputs the preprocessed information into a generative AI model to generate compelling sentences, which then use natural language processing techniques to generate sentences that effectively express the concept and value of the work.

[1463] Example: Generates the following sentence: "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts a surrealist dreamscape. The vibrant colors and meticulous details transport the viewer into a fantastical world."

[1464] Step 5:

[1465] Based on the generated text, the server generates an effective social media posting strategy, including the best time to post, hashtags to use, and how to approach the target audience.

[1466] For example, it suggests that the best time to post on Instagram is 6pm and that you use the hashtag DigitalArt Surrealism.

[1467] Step 6:

[1468] The server sends the generated text and transmission strategy back to the terminal, which receives it and displays it to the user.

[1469] Step 7:

[1470] Users upload additional materials, such as high-resolution images of artworks and videos of the creation process, to their devices. The devices then send these materials back to the server. The materials are in the form of image files or video files.

[1471] Step 8:

[1472] Based on the additional materials received, the server uses a generative AI model to generate a scenario for an introductory video, which begins with a zoom-in of the finished work, a time-lapse of the production process, and finally displays the work's title and artist's name.

[1473] Step 9:

[1474] Based on the provided scenario, users create an introductory video using video editing software, which includes adding text and effects.

[1475] Step 10:

[1476] The user posts the completed text and video to the SNS and follows the communication strategy suggested by the server.

[1477] For example, you could post a video on Instagram with the following text: "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surrealist landscape of a dream." Use appropriate hashtags and time your post to increase engagement and reach a larger audience.

[1478] As described above, the system of the present invention allows artists to effectively promote their own works and maximize their appeal.

[1479] Example 1

[1480] 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."

[1481] In today's world, artists need advanced presentation skills to effectively promote their work and reach a wide audience. However, many artists lack the technical support and knowledge of social media strategies, making it difficult to maximize the appeal of their work. Furthermore, creating visual presentations using high-resolution images and videos is difficult, creating a demand for technology that can efficiently handle these tasks.

[1482] 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.

[1483] In this invention, the server includes means for inputting information about the artwork, means for transmitting the input information to an information processing device, means for analyzing the received information and generating attractive text using a generative AI model, means for generating a communication strategy for a social network service, means for returning the generated text and communication strategy to the terminal, means for providing additional information about the artwork, and means for generating a scenario for an artwork introduction video based on the provided materials. This allows artists to maximize the appeal of their artwork and effectively communicate it, even without advanced technology.

[1484] "Artwork" is a general term for works of visual art, such as paintings, sculptures, and digital art.

[1485] "Information processing device" refers to a computer or server that receives and analyzes data, executes generative AI models, and so on.

[1486] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to generate sentences based on input information.

[1487] A "social network service" is an online platform that allows users to create personal profiles and share information with other users.

[1488] "Terminal" refers to a device, such as a computer, smartphone, or tablet, that a user uses to input information and receive generated data.

[1489] A "structured data format" is a format that organizes data elements hierarchically according to rules such as JSON and XML.

[1490] "Additional Information" refers to detailed material about the artwork, such as high-resolution images, video, or audio.

[1491] "Scenario" refers to the script or screenplay of a video or presentation created by a generative AI model.

[1492] "Dissemination strategy" refers to proposals that include plans and methods for effectively disseminating information on social networking services.

[1493] The present invention relates to a presentation support system that maximizes the appeal of artworks. Specific embodiments of this system will be described in detail below.

[1494] System Overview

[1495] This system allows users to input information about their artworks, and then uses that information to generate various presentation materials (text, social media strategies, video scenarios, etc.) using a generative AI model. This system allows users to effectively communicate the appeal of their artworks and reach a large audience.

[1496] Hardware and Software

[1497] The main hardware used to implement the system includes terminals (computers, smartphones, tablets, etc. where users input information) and servers (information processing devices that receive and analyze information and run generative AI models).

[1498] The software includes a web interface or mobile application for users to input information, as well as analytics programs and generative AI models (e.g., GPT-4) that run on the server side, and additional software for generating social media strategies.

[1499] Enter and submit information

[1500] Users input detailed information about their artwork, including the title, concept, techniques used, background story, etc. This input data is converted into JSON format and sent to the server via the device.

[1501] Receiving and analyzing information

[1502] The server analyzes the information received from the device. Specifically, it parses the received JSON data, extracts the necessary fields, and formats them. As preprocessing, it also converts the data into a format that is easy for the generative AI model to understand.

[1503] Running generative AI models

[1504] The server inputs the preprocessed information into a generative AI model to generate compelling presentation text that effectively expresses the concept and value of the artwork. This generative AI model utilizes natural language processing technology.

[1505] Creating a social media strategy

[1506] At the same time as generating the text, the server also generates a social media distribution strategy. Specifically, it generates suggestions for the appropriate posting time, hashtags to use, how to approach the target audience, etc. This strategy generation is also done using a generative AI model.

[1507] Returning and displaying information

[1508] The generated text and SNS strategy are sent back from the server to the terminal, and the terminal displays the received information to the user. In the user interface, the generated text is displayed in a text box, and the SNS strategy is displayed in another box.

[1509] Providing additional materials and generating video scenarios

[1510] Users can provide more detailed information about the artwork, such as high-resolution images and videos of the creation process. These additional materials are sent to the server via the device, and the server uses a generative AI model to generate a scenario for the artwork introduction video based on the received materials. This process includes file analysis and prompt generation.

[1511] Video Production and Publishing

[1512] Based on the generated scenario, users create an introductory video for their work using video editing software (e.g., Adobe Premiere Pro). Using the completed text and video, users post the video on social media and follow the communication strategy suggested by the server. This increases engagement and maximizes the appeal of their work.

[1513] Prompt Sentence Examples

[1514] Here are some example prompts that users can enter into a generative AI model:

[1515] "Generate a sentence that effectively conveys the concept and appeal of my work, 'Memories of a Psychedelic Dream'."

[1516] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1517] Step 1:

[1518] The user enters information about the artwork.

[1519] Information entered includes the title of the work, concept, techniques used, background story, etc.

[1520] This information is formatted as JSON data.

[1521] The output is structured JSON data.

[1522] Step 2:

[1523] The terminal sends the JSON data entered by the user to the server.

[1524] Specifically, this data is sent to the server as an HTTP POST request.

[1525] The input is the JSON data mentioned above, and the output is a network request to send the data.

[1526] Step 3:

[1527] The server receives the information sent from the terminal.

[1528] Parse the received JSON data, extract the necessary fields, and format them.

[1529] This provides pre-processed data to input into generative AI models.

[1530] The input is the HTTP request and the output is the preprocessed data.

[1531] Step 4:

[1532] The server inputs the preprocessed data into the generative AI model.

[1533] Specifically, data including prompt sentences is input into a generative AI model (e.g., GPT-4) to generate compelling presentation text.

[1534] The input is the preprocessed data and the output is the generated text.

[1535] Step 5:

[1536] The server generates an SNS strategy based on the generated text.

[1537] This strategy includes the best times to post, the hashtags to use, and how to reach your target audience.

[1538] Generative AI models are again used to suggest appropriate strategies.

[1539] The input is the generated text and the output is the SNS strategy data.

[1540] Step 6:

[1541] The server returns the generated text and SNS strategy to the terminal.

[1542] Specifically, the results are compiled in JSON format and sent to the terminal as an HTTP response.

[1543] The input is a text and a social media strategy, and the output is an HTTP response.

[1544] Step 7:

[1545] The terminal displays the received information to the user.

[1546] The received data is parsed and converted into a format that can be displayed in the user interface.

[1547] It includes a text box to display the generated text and a box to display your social media strategy.

[1548] The input is the HTTP response and the output is the user interface.

[1549] Step 8:

[1550] Users provide additional information about the artwork, such as high-resolution images and videos of the creation process.

[1551] Specifically, you can upload images and videos using the file selection button.

[1552] The input is additional material and the output is a file upload.

[1553] Step 9:

[1554] The terminal transmits the additional material to the server.

[1555] Sends the uploaded file to the server as an HTTP POST request.

[1556] The input is the additional material file, and the output is a network request to send the file.

[1557] Step 10:

[1558] The server generates a video scenario based on the additional material.

[1559] It extracts the necessary information from the images and videos provided and creates scenarios using a generative AI model.

[1560] The input is the additional material file, and the output is the generated video scenario.

[1561] Step 11:

[1562] Based on the generated scenario, the user creates an introductory video for the work using video editing software.

[1563] Use video editing software to edit the video according to the generated scenario.

[1564] The input is a video scenario and the output is the finished video.

[1565] Step 12:

[1566] The user posts the completed text and video to the SNS and follows the communication strategy suggested by the server.

[1567] Specifically, the generated hashtag is used to post on social media.

[1568] The input is the communication strategy and the finished video, and the output is the social media post.

[1569] (Application example 1)

[1570] 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."

[1571] To maximize the appeal of artworks, it is important to effectively present detailed information about the artwork and use visual effects in the presentation. However, for artists to achieve this, advanced skills and knowledge are required, and in many cases, it takes time and effort. It is also difficult to devise an effective communication strategy on social media, and as a result, artworks often do not receive the attention they deserve. There is a need for a system that can solve these problems and widely communicate the appeal of artworks.

[1572] 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.

[1573] In this invention, the server includes means for inputting information about the artwork, means for transmitting the input information to the server, means for analyzing the received information and generating attractive text using a generative AI model, means for generating a social media communication strategy, means for returning the generated text and social media strategy to the terminal, means for providing additional images and videos of the artwork, means for generating a scenario for a video introducing the artwork based on the provided materials, means for displaying the generated presentation materials using visual effects, and means for the user to interactively operate using a smart device. This enables artists to generate effective presentation materials and communication strategies and maximize the appeal of their artworks by utilizing visual effects, even if they do not have advanced knowledge or skills.

[1574] "Information about an artwork" refers to detailed data about the artwork, such as its title, concept, techniques used, and background story.

[1575] "Means of input" refers to the interface or device through which a user can input information about an artwork.

[1576] The "means for transmitting to the server" refers to a communication means for transmitting the input information as data to a remote server.

[1577] "Means for analyzing received information" refers to the technology or method by which the server converts the data it receives into an understandable format and performs appropriate processing.

[1578] A "generative AI model" is a model that uses artificial intelligence to generate outputs from data that fit a specific purpose.

[1579] "Means for generating compelling text" refers to methods and technologies that use generative AI models to generate text that effectively conveys the appeal of artworks.

[1580] "Means for generating a communication strategy on social media" refers to technologies and systems that propose effective promotional methods on social media.

[1581] "Means for sending back to the terminal" refers to the communication means for sending the generated text and communication strategy back to the user's terminal.

[1582] "Means for providing additional images or videos of the Artwork" means an interface or functionality that allows a user to provide additional visual material related to the Artwork.

[1583] "Means for generating a scenario for a video introducing an artwork" refers to a method or technology for generating a video scenario for introducing an artwork based on additional materials provided.

[1584] "Means for displaying the generated presentation materials based on visual effects" refers to technology or a system for displaying the generated presentation materials in a visually easy-to-understand and attractive manner.

[1585] "Means for users to interact with smart devices" refers to interfaces and technologies that allow users to intuitively operate a system using devices such as smartphones or head-mounted displays.

[1586] The present invention relates to a presentation support system that maximizes the appeal of artworks. The system combines user input, data analysis, the use of generative AI models, and visual presentation display. This section describes a specific embodiment of the system.

[1587] System configuration

[1588] User Interface (UI)

[1589] Users can input information about artworks via smartphones or head-mounted displays, providing detailed information such as the artwork's title, concept, techniques used, background story, etc. The UI is visually easy to understand and intuitive to operate.

[1590] Data transmission and analysis

[1591] Information entered by the user is sent from the device to the server. The sent data is formatted into JSON format on the server side. The server receives this formatted data and performs preprocessing to input it into the generative AI model.

[1592] Leveraging generative AI models

[1593] The server inputs the preprocessed data into a generative AI model. The generative AI model then generates text that effectively expresses the appeal of the artwork based on the input data. For example, it is capable of producing sophisticated expressions such as, "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surrealist landscape of a dream."

[1594] Creating a social media strategy

[1595] The server then generates an effective social media strategy based on the generated text. This strategy includes the appropriate posting time, hashtags to use, and how to approach the target audience. For example, the server might suggest, "When posting on Instagram, use the hashtag DigitalArt Surrealism ArtOfTheDay and post at 6 p.m."

[1596] Displaying presentation materials

[1597] The generated text and social media strategies are sent back to the device and displayed to the user, who can then view the presentation materials interactively with visual effects via a smartphone or head-mounted display.

[1598] Providing additional materials

[1599] Users can also provide additional materials related to their artworks, such as high-resolution images and videos of the creation process, which are also sent to the server via their devices.

[1600] Scenario generation for work introduction videos

[1601] The server uses a generative AI model based on the additional material to generate a scenario for the work introduction video, which the user can then use video editing software to create.

[1602] Examples of specific examples and prompts

[1603] Specific examples

[1604] A user creates a digital artwork called "Memory of a Psychedelic Dream" and inputs its information. The server then uses a generative AI model to generate the following text: "This digital artwork, 'Memory of a Psychedelic Dream,' vividly depicts a surrealist dreamscape. The colorful colors and intricate details transport the viewer into a fantastical world." Additionally, the server suggests a social media strategy: "When posting to Instagram, use the hashtag DigitalArt Surrealism ArtOfTheDay and post at 6 PM."

[1605] Prompt Sentence Examples

[1606] Create an appealing presentation based on the information about the artwork below and propose an optimal social media strategy. Title: Summer Night View, Concept: The tranquility of the night and the beauty of the starry sky, Technique used: Oil painting, Background story: Inspired by the scenery seen on a summer night.

[1607] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1608] Step 1:

[1609] The user inputs information about the artwork using a smartphone or head-mounted display, including the title, concept, techniques used, background story, etc. The input information is saved on the device in a format that can be stored in a database.

[1610] Step 2:

[1611] The device sends the entered information to the server. At this time, the data is formatted in JSON format. Specifically, the information entered by the user is structured as key-value pairs. This structured data is sent to the server via an HTTP request.

[1612] Step 3:

[1613] The server analyzes the received data. Once the server receives the data, it analyzes it and extracts the necessary information. During this process, it verifies the data format and performs any necessary cleansing, such as filling in missing data or removing unnecessary data.

[1614] Step 4:

[1615] The server inputs the analyzed data into a generative AI model, which then generates text that expresses the appeal of the artwork based on the received data. Specifically, it uses natural language processing technology to generate compelling text from the input data.

[1616] Step 5:

[1617] The server generates a social media posting strategy along with the generated text. Based on the text generated by the generative AI model, it proposes an optimal posting strategy (e.g., posting time, hashtags to use, target demographic, etc.). In this process, the optimal strategy is derived using past data and trend analysis.

[1618] Step 6:

[1619] The server returns the generated text and social media strategy to the device. The server converts the generated content back into JSON format and returns it to the device via an HTTP response. The device parses the received data and displays it to the user.

[1620] Step 7:

[1621] The user provides additional material (such as high-resolution images or videos of the production process) through the device. The user uploads the additional material using the device interface. This material is then retransmitted to the server.

[1622] Step 8:

[1623] The server generates a scenario for the introduction video based on the additional materials received. The server uses a generative AI model to generate a scenario for the introduction video that combines the additional materials and input data. During this process, the scenario is constructed taking visual effects into account.

[1624] Step 9:

[1625] Based on the created scenario, the user uses video editing software to create an introductory video for the work. The user then edits the video according to the scenario and completes the final video.

[1626] Step 10:

[1627] The user posts the completed text and video on social media, following the generated communication strategy and publishing the artwork on social media using appropriate posting times and hashtags.

[1628] 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.

[1629] The present invention relates to a presentation support system that maximizes the appeal of artworks. Specific embodiments of this system are described below. In particular, by combining an emotion engine, flexible presentations based on the user's emotional state can be realized.

[1630] System Overview

[1631] This system inputs information about artworks and uses a generative AI model based on that information to generate various presentation materials (text, strategies, video scenarios, etc.) It also combines an emotion engine to enable customization based on the user's emotional state.

[1632] Program processing

[1633] Enter and submit information

[1634] Users input detailed information about their artwork, including the title, concept, techniques used, background story, etc. This input data is sent to the server via the terminal.

[1635] Receiving and analyzing information

[1636] The server receives the artwork information sent from the device, analyzes the received data, and performs pre-processing to input it into the generative AI model, including text cleaning and conversion.

[1637] Emotion Engine Operation

[1638] The device is equipped with an emotion engine that recognizes the user's emotional state in real time. The emotion engine analyzes the user's facial expressions, tone of voice, and choice of words to understand the user's current emotional state. This emotion data is sent to the server.

[1639] Running and Tuning Generative AI Models

[1640] The server runs a generative AI model based on the preprocessed information and the user's emotional state data to generate compelling sentences. For example, if the user is excited, lively sentences that reflect that excitement are generated. The generative AI model uses natural language processing technology to generate sentences that effectively express the concept and value of the work.

[1641] Creating a social media strategy

[1642] The server also generates an effective social media posting strategy along with the generated text, including the best time to post, hashtags to use, and how to approach the target audience.

[1643] Returning and displaying information

[1644] The generated text and SNS strategy are sent back from the server to the terminal, which receives them and displays them to the user.

[1645] Providing additional materials and generating video scenarios

[1646] Users can provide more detailed information about the artwork, such as high-resolution images or videos of the creation process. These additional materials are sent via the device to the server, which then receives them. Based on the additional materials, the server uses a generative AI model to generate a scenario for a video introducing the artwork. The generated scenario begins with a zoom-in of the finished work, followed by a time-lapse of the creation process, and finally displays the title of the work and the artist's name.

[1647] Video Production and Publishing

[1648] Based on the generated scenario, the user uses video editing software to create an introductory video for the work, and then posts the completed text and video on a social networking site, following the communication strategy suggested by the server.

[1649] Specific examples

[1650] A user creates a digital artwork called "Memories of a Psychedelic Dream" and inputs the information. The device then sends the information to a server, which uses a generative AI model to generate text like this: "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts a surrealist dreamscape. Its vibrant colors and meticulous detail transport the viewer into a fantastical world."

[1651] The emotion engine also recognizes when a user is excited and generates sentences that reflect that emotional state. For example, "This vibrant digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surrealist landscape of a dream!"

[1652] Additionally, as a social media strategy, users are suggested to use the hashtag DigitalArt Surrealism ArtOfTheDay when posting on Instagram and post at 6pm. Users will follow this and post, resulting in increased engagement.

[1653] High-resolution images and videos of the production process are provided as additional materials, and the server generates a video scenario based on these. Users can create a video according to the generated scenario and post it on social media, resulting in a visually appealing presentation.

[1654] As described above, the system of the present invention allows artists to effectively promote their own works and to make flexible presentations that reflect the emotional state of the user.

[1655] The processing flow will be explained below.

[1656] Step 1:

[1657] Users enter details about their artwork, such as the title "Psychedelic Dream Memory," the concept "Surrealist-influenced depiction of a dream memory," and the technique used "Digital Painting."

[1658] Step 2:

[1659] The device sends the entered information to the server, and the data is sent in a structured data format such as JSON.

[1660] Step 3:

[1661] The server receives the artwork information sent from the device and formats and preprocesses the data, including cleaning strings and converting data formats. The preprocessed information is then used as input data for the generative AI model.

[1662] Step 4:

[1663] The device runs an emotion engine that recognizes the user's emotional state in real time. The emotion engine analyzes the user's facial expressions, tone of voice, and input text content to identify the user's emotional state. This emotion data is then sent to the server.

[1664] Step 5:

[1665] Based on the received emotional data, the server adjusts the parameters of the generative AI model to generate engaging sentences that reflect the user's emotional state. For example, if the user is excited, lively sentences that reflect that excitement will be generated.

[1666] Step 6:

[1667] The server simultaneously generates an effective social media strategy, including the best time to post, hashtags to use, and how to approach the target audience.

[1668] Step 7:

[1669] The server sends the generated text and SNS strategy back to the device, which receives it and displays it to the user.

[1670] Step 8:

[1671] Users provide additional materials such as high-resolution images of artworks and videos of the production process. The additional materials are sent to the server via their devices. The material formats are image files and video files.

[1672] Step 9:

[1673] The server uses the received additional materials to generate a scenario for the introductory video using a generative AI model, which begins with a zoom-in of the finished work, a time-lapse of the production process, and finally displays the work title and artist name.

[1674] Step 10:

[1675] Users create an introductory video using video editing software based on the provided scenario, which includes adding text and effects.

[1676] Step 11:

[1677] The user posts the completed text and video to the SNS and follows the communication strategy suggested by the server.

[1678] For example, you could post a video on Instagram with the following text: "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surrealist landscape of a dream." Use appropriate hashtags and time your post to increase engagement and reach a larger audience.

[1679] As described above, the system of the present invention allows artists to effectively promote their own works and to make flexible presentations that reflect the emotional state of the user.

[1680] Example 2

[1681] 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."

[1682] Until now, it has been difficult to effectively present artworks online and customize them to take into account the user's emotional state and communication strategy. It has also been difficult to input information about an artwork and generate compelling text, communication strategies, and even a scenario for an introductory video based on that information.

[1683] 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.

[1684] In this invention, the server includes means for inputting information about the artwork, means for transmitting the input information to the server, means for analyzing the received information and generating attractive text using a generative model, means for recognizing the user's emotional state and analyzing the data, means for adjusting the text based on the emotional data, means for generating a communication strategy for SNS, means for returning the generated text and communication strategy to the terminal, means for providing additional materials for the artwork, and means for generating a scenario for a video introducing the artwork based on the provided materials. This allows users to maximize the appeal of the artwork and make flexible presentations that take into account the user's emotional state and an appropriate communication strategy.

[1685] "Information about the artwork" is detailed data related to the artwork entered by the user, such as the artwork's title, concept, techniques used, and background story.

[1686] "Input means" refers to an interface that allows users to input information about artworks into a terminal, such as a system that includes a text box and a file upload function.

[1687] The "means for sending" is a module with communication functions for sending information about artworks from a terminal to a server, and uses a protocol such as an HTTP POST request.

[1688] "Means for analyzing received information" refers to the process by which the server receives data sent from the terminal and performs any necessary cleaning or pre-processing of the text.

[1689] "Means for generating engaging text using a generative model" refers to the algorithms and systems used by the server to use NLP (natural language processing) techniques to generate engaging descriptions from input information about artworks.

[1690] "Means for recognizing the user's emotional state and analyzing the data" refers to a system in which an emotion recognition engine installed in the device analyzes the user's facial expressions and tone of voice to detect and analyze their emotional state in real time.

[1691] The "means for adjusting text based on emotional data" refers to an algorithm and system for generating text with an appropriate tone and style based on the results of emotional analysis, in accordance with the user's emotional state.

[1692] "Means for generating a social media communication strategy" refers to an algorithm that suggests a social media strategy for effectively disseminating the generated text, including, for example, the optimal posting time and hashtags to use.

[1693] The "means for returning to the terminal" is a module having a communication function for the server to send the generated text and SNS strategy to the terminal.

[1694] "Means for providing additional materials" refers to a system that provides an interface that allows users to upload additional materials, such as high-resolution images and videos of the production process, via their terminals.

[1695] The "means for generating a scenario for a work introduction video based on the provided materials" refers to an algorithm and system in which the server analyzes additional materials provided by the user and generates a scenario for a work introduction video using a generative AI model.

[1696] This invention relates to a presentation support system that maximizes the appeal of artworks. Based on information about artworks entered by users, the system uses a generative AI model to generate compelling text and social media strategies, and can further customize the system to adapt to the user's emotional state.

[1697] First, the user inputs information about the artwork (e.g., title, concept, technique used, background story, etc.). For example, the user inputs information about a digital artwork called "Memories of a Psychedelic Dream." This information is then sent to the server via the user's device.

[1698] The device collects the input data, formats it in JSON format, and sends it to the server via an HTTP POST request. The server then parses the received data and performs any necessary cleaning or text transformations. This parsing process involves using an NLP library (e.g., spaCy) to tokenize the data and correct any improper characters or formatting.

[1699] The device then uses a camera and microphone to analyze facial expressions and tone of voice to recognize the user's emotional state in real time. This emotion analysis is performed using emotion recognition libraries (e.g., OpenCV, DeepFace, PRAAT). The emotion data is then formatted and sent to the server.

[1700] The server generates prompt sentences using a generative AI model (e.g., GPT-3, BERT) based on the received emotion data and preprocessed text data. The generated sentences are adjusted according to the user's emotional state. For example, if the user is excited, an animated sentence will be generated:

[1701] "This vibrant digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surreal landscape of a dream!"

[1702] The server also suggests effective social media strategies based on the generated text. For example, it suggests using the hashtag "DigitalArt Surrealism ArtOfTheDay" when posting on Instagram and posting at 6 p.m. as the optimal time.

[1703] The generated text and SNS strategy are sent back to the device from the server and displayed to the user. The user can then post to SNS based on this, which is expected to generate high engagement.

[1704] Additionally, users can upload additional materials, such as high-resolution images and videos of the production process, to their devices. These materials are then sent to the server, which uses a generative AI model to generate a scenario for the introductory video.

[1705] The generated scenario is as follows:

[1706] "First, a zoomed-in look at the finished work, then a time-lapse of the creation process, and finally the title of the work and the artist's name."

[1707] Users use video editing software (e.g., Adobe Premiere Pro) to create an introductory video based on the generated scenario. By posting the completed text and video on social media and adhering to the communication strategy suggested by the server, a visually appealing presentation can be completed.

[1708] As described above, this system allows users to maximize the appeal of artworks and make flexible presentations that take into account their emotional state and appropriate communication strategies.

[1709] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1710] Step 1:

[1711] The user inputs information about the artwork into the device.

[1712] Users enter details such as the title of the work, concept, techniques used, and background story.

[1713] Example input: Title "Memories of a Psychedelic Dream" and concept "Surrealist Landscape in a Dream."

[1714] Input data: Artwork information in text format.

[1715] Output data: Artwork information formatted in JSON format.

[1716] Step 2:

[1717] The device sends the information to the server

[1718] The device formats the input artwork information in JSON format and sends it to the server via an HTTP POST request.

[1719] Input data: Artwork information entered by the user in JSON format.

[1720] Data processing: Converting text data into JSON format.

[1721] Output: The HTTP POST request sent to the server.

[1722] Step 3:

[1723] The server receives the data from the device.

[1724] The server receives the HTTP request, analyzes the content, and stores it in a database.

[1725] Input data: Artwork information sent from the device.

[1726] Data processing: Saving to database.

[1727] Output data: Saved artwork information.

[1728] Step 4:

[1729] The server preprocesses the data

[1730] The server cleans the received text data and performs preprocessing such as tokenization.

[1731] Software used: NLP library (spaCy).

[1732] Input data: Saved artwork information.

[1733] Data processing: Text cleaning and tokenization.

[1734] Output data: Preprocessed text data.

[1735] Step 5:

[1736] The device recognizes the user's emotional state

[1737] The device uses a camera and microphone to analyze the user's facial expressions and tone of voice to obtain emotional data.

[1738] Hardware used: camera, microphone.

[1739] Software used: Emotion recognition libraries (OpenCV, DeepFace, PRAAT).

[1740] Input data: Real-time video and audio data.

[1741] Data processing: Analysis of facial expressions and tone of voice.

[1742] Output data: Real-time sentiment data.

[1743] Step 6:

[1744] The device sends emotion data to the server.

[1745] The device formats the acquired emotion data into JSON format and sends it to the server via an HTTP POST request.

[1746] Input data: Real-time sentiment data.

[1747] Data processing: Formatting data into JSON format.

[1748] Output: The HTTP POST request sent to the server.

[1749] Step 7:

[1750] The server receives preprocessed information and emotion data.

[1751] The server retrieves the preprocessed text data and emotion data and inputs them into the generative AI model.

[1752] Software used: Generative AI models (GPT-3, BERT).

[1753] Input data: Preprocessed text data and sentiment data.

[1754] Data processing: Shaping data for input into generative AI models.

[1755] Output data: The prompt data required by the generative AI model.

[1756] Step 8:

[1757] The server runs the generative AI model and generates sentences.

[1758] The server runs a generative AI model to generate engaging text, adjusting tone and style based on the user's emotional data.

[1759] Input data: Prompt data.

[1760] Data computation: Text generation using generative AI models.

[1761] Output data: Customized sentences depending on the emotional state.

[1762] Example: "This vibrant digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts the surreal landscape of a dream!"

[1763] Step 9:

[1764] The server generates the SNS strategy.

[1765] The server proposes an optimal SNS strategy based on the generated text.

[1766] Input data: Generated sentences corresponding to emotional states.

[1767] Data computation: SNS strategy generation algorithm.

[1768] Output: A publishing strategy including optimal posting times, hashtags, and target audience.

[1769] Example: "When posting on Instagram, use the hashtags DigitalArt Surrealism ArtOfTheDay and post at 6pm."

[1770] Step 10:

[1771] The server sends the generated information back to the device

[1772] The server formats the generated text and SNS strategy into JSON format and sends it to the terminal via an HTTP POST request.

[1773] Input data: Generated text and social media strategies.

[1774] Data processing: Formatting data into JSON format.

[1775] Output data: The HTTP POST request sent to the device.

[1776] Step 11:

[1777] The device receives the information and displays it to the user.

[1778] The terminal analyzes the received data and displays it on the screen in a format that is easy for the user to view.

[1779] Input data: JSON data sent from the server.

[1780] Data processing: Transforming data into a user interface.

[1781] Output data: Screen display.

[1782] Step 12:

[1783] Users can upload high-resolution images and videos of the production process to their devices.

[1784] Users upload detailed additional material to their devices, e.g., a one-minute time-lapse video.

[1785] Input data: high-resolution images and videos.

[1786] Data processing: None.

[1787] Output data: Additional material stored on the device.

[1788] Step 13:

[1789] The device sends additional material to the server

[1790] The device compresses the additional material and sends it to the server in an HTTP POST request.

[1791] Input data: high-resolution images and videos.

[1792] Data processing: Data compression and HTTP POST requests.

[1793] Output Data: Additional material sent to the server.

[1794] Step 14:

[1795] The server generates the scenario.

[1796] The server analyzes the additional material and uses a generative AI model to generate a scenario for the work introduction video.

[1797] Input data: high-resolution images and videos.

[1798] Data calculation: Scenario generation using generative AI models.

[1799] Output data: Scenario for the work introduction video.

[1800] Example of generation: "First, zoom in on the finished work, then a time lapse of the creation process, and finally display the work title and artist name."

[1801] Step 15:

[1802] A user creates a video using video editing software

[1803] The user creates an introductory video for the work using video editing software based on the generated scenario.

[1804] Input data: Generated video scenarios.

[1805] Data processing: video editing.

[1806] Output: A video introducing the finished work.

[1807] Step 16:

[1808] The user posts the completed text and video to social media.

[1809] Users post the generated text and video to a social networking site and follow the communication strategy suggested by the server.

[1810] Input data: completed text and work introduction video.

[1811] Data processing: Social media posts.

[1812] Output data: Content published on social media.

[1813] (Application example 2)

[1814] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1815] Conventional methods have limitations when it comes to presenting artworks in a way that maximizes their appeal and deeply moves viewers. In particular, there is a lack of technology that can provide customized presentations that correspond to the viewer's emotional state, making it difficult to provide an optimal experience for each viewer. For this reason, there has been a strong demand for a system that can automatically generate presentations of artworks that correspond to the emotions of each viewer.

[1816] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting information about the artwork, means for transmitting the input information to the server, means for analyzing the received information and generating attractive text using a generative AI model, means for generating a social media posting strategy, means for returning the generated text and social media strategy to the terminal, means for providing additional images and videos of the artwork, means for generating a scenario for a video introducing the artwork based on the provided materials, means for recognizing emotions in real time, means for adjusting the generative AI model based on the emotion data, and means for providing a customized presentation using the adjusted generative AI model. This enables flexible presentations based on the emotional state of each viewer.

[1817] "Means for inputting information about artworks" refers to devices or software that allow users to input detailed information related to the artworks being exhibited (such as title, concept, technique, background story, etc.).

[1818] The "means for transmitting input information to the server" refers to a communication means for transmitting the input information about the artwork to the server via the network.

[1819] "Means for analyzing received information and generating engaging text using a generative AI model" refers to a means for the server to analyze the information about the artwork received and execute a process for generating engaging text based on that information using a generative AI model (e.g., a natural language processing model).

[1820] The "means for generating a social media communication strategy" is an algorithm that determines the optimal timing, hashtags, and target audience for effectively disseminating the generated text on social media.

[1821] "Means for returning the generated text and SNS strategy to the device" refers to a communication means for sending and displaying the generated text and communication strategy on the device used by the user (smartphone, tablet, etc.).

[1822] The "means for providing additional images and videos of artworks" refers to input and communication means that allow users to upload images and videos related to artworks to the server.

[1823] "Means for generating a scenario for a work introduction video based on provided materials" refers to means for executing a process for automatically generating a scenario for a work introduction video using a generative AI model based on provided additional images and videos.

[1824] The "means for recognizing emotions in real time" refers to means including a sensor, a camera, a microphone, and an analysis algorithm for analyzing the user's facial expressions and tone of voice and recognizing the user's current emotional state in real time.

[1825] The "means for adjusting the generative AI model based on emotional data" refers to a means for executing a process for adapting the output of the generative AI model to the user's emotional data recognized in real time.

[1826] A "means for providing a customized presentation using an adjusted generative AI model" is a means for automatically generating and displaying an attractive presentation optimized for a user using a generative AI model adjusted based on emotional data.

[1827] The system of the present invention is a system that maximizes the appeal of an artwork and provides a presentation that is suited to the emotional state of the viewer. Specific embodiments for implementing this system will be described in detail below.

[1828] The system consists of several major hardware and software components, including an input terminal, a server, an emotion recognition means, a generative AI model, a communication means, and a presentation display means.

[1829] Hardware and software used

[1830] Input device: Smart glasses or smartphone

[1831] Server: Cloud-based server (e.g., Amazon Web Services)

[1832] Emotion recognition methods: camera, microphone, Microsoft Azure Face API

[1833] Generative AI model: OpenAI GPT-4

[1834] Communication methods: Wi-Fi, Bluetooth, 4G / 5G networks

[1835] Presentation display method: Smart glasses (e.g., Google Glass, Microsoft HoloLens)

[1836] Program processing flow

[1837] 1. Enter and submit information:

[1838] The user inputs information about the artwork from an input terminal, including the artwork's title, concept, techniques used, background story, etc.

[1839] The terminal transmits the input information to the server.

[1840] 2. Information analysis and generation:

[1841] The server analyzes the received information and pre-processes it for input into the generative AI model, which includes text cleaning and transformation.

[1842] Based on the preprocessed information, OpenAI GPT-4 is used to generate compelling text to introduce artworks, and prompts are used in the text generation process.

[1843] 3. Emotion recognition:

[1844] Emotion recognition tools (camera and microphone) are used to analyze viewers' facial expressions and tone of voice in real time, using the Microsoft Azure Face API.

[1845] The analyzed emotion data is sent to the server and stored.

[1846] 4. Emotion-based regulation:

[1847] The server adjusts the generative AI model based on the emotional data and generates sentences that best suit the viewer's emotional state.

[1848] As an example, we will use the prompt, "Generate the most appropriate explanatory text for the digital artwork "Memories of a Psychedelic Dream" when the viewer is surprised."

[1849] 5. Generate and return social media strategies:

[1850] The server simultaneously generates an effective social media posting strategy based on the generated text, including the optimal posting time, hashtags, and how to approach the target audience.

[1851] This information is sent back to the terminal and displayed to the user.

[1852] 6. Providing additional materials and generating video scenarios:

[1853] If the user provides more detailed information about the artwork (such as high-resolution images or videos of the creation process), this material is sent to the server via the device.

[1854] Based on these additional materials, the server uses a generative AI model to generate a scenario for the work's introduction video.

[1855] Specific examples

[1856] A user inputs the digital artwork "Memory of a Psychedelic Dream" into an input device. The device sends the information to a server, which uses a generative AI model to generate a sentence like this: "This digital artwork, 'Memory of a Psychedelic Dream,' vividly depicts a fantastical dreamscape. The colorful colors and intricate details invite the viewer into a fantastical world." Using emotion recognition, the server determines the user's emotional state as surprise and generates a sentence that reflects that emotional state. For example, "This dynamic digital artwork, 'Memory of a Psychedelic Dream,' vividly depicts a fantastical dreamscape!" The server then suggests an optimal promotional strategy, such as "Use the hashtag DigitalArt Surrealism ArtOfTheDay when posting on Instagram and post at 6 PM."

[1857] In this way, the system of the present invention allows artists to effectively promote their work and provides flexible presentations that reflect the emotional state of the user.

[1858] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1859] Step 1:

[1860] The user inputs information about the artwork into an input device (smart glasses or smartphone), including the artwork's title, concept, techniques used, background story, etc. The input information is sent from the device to the server as structured data.

[1861] Step 2:

[1862] The server analyzes the received artwork information and pre-processes it for input into the generative AI model (OpenAI GPT-4). This pre-processing includes text cleaning, format conversion, noise reduction, etc. The pre-processed data is then input into the generative AI model along with a prompt.

[1863] Step 3:

[1864] The server runs the generative AI model based on the preprocessed information and generates the first description of the artwork, which reads as follows: "This digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts a fantastical landscape. Its vibrant colors and meticulous details transport the viewer into a dream world."

[1865] Step 4:

[1866] Using emotion recognition means (such as the camera and microphone in the smart glasses), the system analyzes the user's facial expressions and tone of voice in real time to determine their current emotional state. The analysis is performed using the Microsoft Azure Face API. The analysis results are sent to the server as emotional data.

[1867] Step 5:

[1868] Based on the received emotional data, the server adjusts the generative AI model again to generate sentences optimized for the user's emotional state. For example, if the user's emotional state is surprise, the generative AI model will generate a sentence such as, "This vibrant digital artwork, 'Memories of a Psychedelic Dream,' vividly depicts that fantastical landscape!"

[1869] Step 6:

[1870] The server simultaneously generates the generated text and a social media distribution strategy, which includes the optimal posting time, hashtags to use, and how to approach the target audience. For example, it might include information such as, "When posting on Instagram, use the hashtag DigitalArt Surrealism ArtOfTheDay and post at 6 p.m."

[1871] Step 7:

[1872] The server sends the generated text and SNS strategy back to the device, where the information is displayed and the user can check the content.

[1873] Step 8:

[1874] If the user provides additional detailed information about the artwork (such as high-resolution images or videos of the creation process), these materials are sent via the device to the server, which uses the generative AI model to generate a scenario for the artwork introduction video.

[1875] Step 9:

[1876] The server generates a video scenario, and the user uses video editing software (e.g., Adobe Premiere Pro API) to create the final introduction video. The completed video is sent to the device, and the user can post it on social media.

[1877] This makes it possible for the system to provide artwork presentations optimized for each viewer's emotional state and even support social media strategies.

[1878] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1879] 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.

[1880] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1881] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1882] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1883] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1884] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1885] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1886] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1887] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1888] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1889] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1890] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1891] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1892] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1893] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1894] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1895] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1896] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1897] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1898] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1899] The following is further disclosed regarding the above embodiment.

[1900] (Claim 1)

[1901] a means for inputting information about the artwork;

[1902] means for transmitting the input information to a server;

[1903] A means for analyzing the received information and generating engaging text using a generative AI model; and

[1904] A means of generating a communication strategy on social media,

[1905] A means for returning the generated text and SNS strategy to the terminal;

[1906] a means to provide additional images and videos of the artwork;

[1907] A means for generating a scenario for a work introduction video based on the provided materials;

[1908] A system including:

[1909] (Claim 2)

[1910] 10. The system of claim 1, wherein the input information is transmitted in a structured data format.

[1911] (Claim 3)

[1912] 10. The system of claim 1, wherein the generated publishing strategy includes optimal posting times, hashtags, and target audiences.

[1913] "Example 1"

[1914] (Claim 1)

[1915] a means for inputting information about the artwork;

[1916] means for transmitting input information to an information processing device;

[1917] A means for analyzing the received information and generating engaging text using a generative AI model; and

[1918] A means for generating a posting strategy on a social network service;

[1919] means for returning the generated text and transmission strategy to the terminal;

[1920] a means of providing additional information about the artwork;

[1921] A means for generating a scenario for a work introduction video based on the provided materials;

[1922] A system including:

[1923] (Claim 2)

[1924] 10. The system of claim 1, wherein the input information is transmitted in a structu...

Claims

1. a means for inputting information about the artwork; means for transmitting the input information to a server; A means for analyzing the received information and generating engaging text using a generative AI model; and A means of generating a communication strategy on social media, A means for returning the generated text and SNS strategy to the terminal; a means to provide additional images and videos of the artwork; A means for generating a scenario for a work introduction video based on the provided materials; A system including:

2. 10. The system of claim 1, wherein the input information is transmitted in a structured data format.

3. The system of claim 1 , wherein the generated publishing strategy includes optimal posting times, hashtags, and target audiences.

Images