system

Abstract

We provide the system. [Solution] A means of automatically generating digital assets using generative artificial intelligence, Means for recording the generated digital assets on a distributed database and assigning them a traceable unique identifier, A means for notifying the user of benefit information related to the aforementioned digital assets, A means by which the aforementioned user can execute a transaction by utilizing the benefits, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In recent years, the use of digital assets has been expanding, but many of them have limitations in terms of uniqueness and benefits given to users. In addition, the point system in corporate campaigns often lacks immediacy and attractiveness for users, and there is a need for a new method to enhance the engagement between companies and consumers. On the other hand, there are problems that a reliable tracking system for smoothly conducting secondary circulation of digital assets and a method for maintaining and improving the value of assets have not been fully established.

Means for Solving the Problems

[0005] This invention enables the unique identification of individual assets by automatically generating unique digital assets using generational AI and recording them in a decentralized database. Furthermore, it provides a means to associate reward information with the generated digital assets and notify users of this information, allowing users to utilize rewards with their assets. It also includes a system that guarantees asset traceability and links ownership to the user's wallet address, providing security and convenience while promoting secondary trading. This enables companies to enhance engagement with consumers and provide new value in the digital asset market.

[0006] "Generative artificial intelligence" is a technology used to automatically generate digital assets and create unique, original content.

[0007] "Digital assets" refer to digital assets recorded on a blockchain, possessing unique identifiers, and can take on a wide range of forms of expression, including images, music, and videos.

[0008] A "decentralized database" is a database that is not dependent on a specific managing entity and is shared and recorded by multiple participants, primarily using blockchain technology to provide immutability and transparency.

[0009] A "unique identifier" refers to a specific code or number used to identify an individual digital asset and to indicate that the asset is unique and different from others.

[0010] "Benefit information" refers to information that provides users with benefits and value associated with digital assets, specifically conveniences such as discounts and access to promotions.

[0011] "User" refers to a participant who can acquire digital assets, trade them, or enjoy benefits using this system.

[0012] A "wallet address" is an electronic address that functions as a user identifier used to store and receive digital assets on the blockchain. [Brief explanation of the drawing]

[0013] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, when an emotion engine is combined. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying Out the Invention

[0014] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0015] First, the terms used in the following description will be explained.

[0016] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0017] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0018] In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0019] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0020] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0021] [First Embodiment]

[0022] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0023] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0024] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0025] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0026] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0027] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0028] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0029] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0031] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0032] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0033] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0034] This invention aims to provide new value in the digital marketplace by automatically generating digital assets, particularly NFTs (Non-Fungible Tokens), using generative artificial intelligence (AI), and managing them in a decentralized database, thereby enabling the provision of benefits to users.

[0035] The system consists of a user terminal, a server, and a generating artificial intelligence unit. First, the user accesses the campaign site using their terminal and applies to participate in the campaign. Here, the user enters the required information and submits the application.

[0036] Next, when the server receives information sent from the terminal, it first verifies and registers that information. This information includes user identification information and campaign details. After that, the server instructs the generating artificial intelligence to create the NFT. The AI ​​creates its own design and content based on the instructed theme.

[0037] The generated digital assets, known as NFTs, are registered in a distributed database by a server, where they are assigned a unique identifier. At the same time, the NFTs are also linked to associated reward information, such as coupons usable in stores or special user experiences.

[0038] The server then notifies the user of the details and benefits of this NFT. The user can manage the NFT in their digital wallet and redeem the benefits. This NFT may also be traded on the secondary market. The server will continuously provide the user with information on NFT trading and the status of available unused benefits.

[0039] As a concrete example, let's assume a company runs a fashion campaign. When a user signs up to participate, a generative AI generates a unique NFT design on a fashion-related theme. This NFT is sent to the user, who is given a discount on new products as a reward. The user can then either keep the NFT or sell it to another user who is interested in the discount.

[0040] Thus, the present invention allows companies to enhance the effectiveness of their campaigns while users can gain engagement and value-added experiences.

[0041] The following describes the processing flow.

[0042] Step 1:

[0043] Users access the campaign website and submit an application to participate. They enter the required personal and contact information and submit the application form.

[0044] Step 2:

[0045] The device sends user input data to the server. This data contains information necessary for providing benefits.

[0046] Step 3:

[0047] The server checks the user data received from the terminal. It performs checks to ensure the information is in the correct format and that it is not already registered, and then registers it in the database.

[0048] Step 4:

[0049] The server requests the AI ​​to generate NFTs. Instructions based on user information and the campaign theme are provided to the AI.

[0050] Step 5:

[0051] The generating AI, following instructions received from the server, creates NFTs as unique digital assets. This process involves creating images, music, or other digital content that aligns with the theme.

[0052] Step 6:

[0053] The server registers the generated NFTs in a distributed database. During this process, a unique identifier is assigned to the NFT, and it is recorded on the blockchain.

[0054] Step 7:

[0055] The server sets up reward information related to the NFT and notifies the user of this information to their email address or other contact information.

[0056] Step 8:

[0057] The user receives a notification from the server and verifies the NFT in their digital wallet. They then use the offer information to receive discounts at stores and services.

[0058] Step 9:

[0059] Users trade NFTs on secondary market platforms as needed. NFTs with unused perks can potentially have high market value.

[0060] Step 10:

[0061] The server monitors transaction status and maintains overall system engagement by providing renewed reward information when a new owner appears.

[0062] (Example 1)

[0063] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0064] The challenges in generating and managing digital assets, particularly non-fungible tokens requiring unique identification, include streamlining their creation and management. Furthermore, it is difficult to quickly and reliably notify users of rewards associated with the generated assets. Additionally, there is a need for a system that allows users to easily conduct transactions using the rewards they have earned.

[0065] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0066] In this invention, the server includes means for receiving and confirming information entered from a user terminal, means for automatically generating digital assets using generative artificial intelligence, and means for recording the generated digital assets on a distributed data storage medium and assigning them a traceable unique identifier. This enables efficient generation and management of digital assets, and reliable and rapid notification of reward information. Furthermore, it allows users to easily execute transactions using assets and rewards.

[0067] A "user terminal" refers to an electronic device used by a user to input and transmit information, and includes computers, smartphones, and other similar devices.

[0068] A "server" refers to a computer system that receives and processes information sent by a user.

[0069] "Generative artificial intelligence" refers to artificial intelligence technology that has the ability to automatically generate digital assets based on specified themes and conditions.

[0070] "Digital assets" refer to assets that exist as electronic data and possess intrinsic value, including non-fungible tokens.

[0071] A "distributed data storage medium" refers to a recording method that stores data in a distributed manner across multiple network nodes, enabling information tracking and management without centralized management.

[0072] A "unique identifier" refers to an identification code assigned to uniquely identify a particular digital asset.

[0073] "Benefit information" refers to information about privileges and services granted to users associated with digital assets.

[0074] A "wallet address" refers to an identification number or record location used by a user to store and manage their digital assets.

[0075] "Transaction" refers to the act of a user using digital assets or associated reward information to exchange them for other forms of value.

[0076] This invention is implemented using a system comprising a user terminal, a server, and a generating artificial intelligence unit.

[0077] Users can access the campaign website using their own devices and register to participate. Users enter the necessary information on their devices and send it to the server.

[0078] The server receives and verifies user information sent from the terminal and registers it in the database. The server instructs the generating artificial intelligence unit to generate digital assets using prompt statements. In this process, the server provides the prompt statements necessary for the generating AI model to work based on a theme. An example of a prompt statement is, "Generate an NFT themed on the latest fashion trends. It will offer a discount on new products."

[0079] A generative AI model generates digital assets based on instructed prompts. The generated digital assets, or non-fungible tokens (NFTs), are recorded on a decentralized data storage medium along with a unique identifier.

[0080] The server notifies the user of information about the generated NFT, along with any associated rewards. Based on the information provided, the user can manage the NFT in their wallet and trade or use the rewards as needed.

[0081] For example, when a fashion company promotes a new product, a generative AI generates a unique NFT with the theme of "summer fashion," which is then provided to users via a server. As a reward, users receive a discount on the new product. Users can then use this reward to purchase the new product.

[0082] Through the above, it is possible for companies to effectively conduct campaigns and build a system in which users can enjoy benefits while owning their own digital assets.

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

[0084] Step 1:

[0085] The user accesses the campaign website using their device and enters information to register for participation. This information includes the user's name, contact details, and campaign-specific information. The device then sends this information to the server.

[0086] Step 2:

[0087] The server verifies user information received from the terminal and checks data integrity. Specifically, it verifies whether the received data format is correct and whether all required fields are filled in. After that, the server registers the verified user information in the database. During registration, a user ID and campaign ID are issued to facilitate data management.

[0088] Step 3:

[0089] The server instructs the generation AI model to create digital assets using prompts. These prompts are based on the campaign theme and include specific instructions, such as "Create an NFT with a spring flower theme." The generation AI follows the input prompts and processes the data to generate designs and content that align with the theme.

[0090] Step 4:

[0091] The server receives the digital assets (NFTs) generated by the generation AI model and registers the data in a distributed data storage medium. At this time, the server assigns a unique identifier to the NFT. It also links related reward information to the NFT. This reward information may include, for example, coupon codes or invitations to exclusive events.

[0092] Step 5:

[0093] The server notifies the user of the details and rewards associated with the generated NFT. This notification is typically done via email or app push notifications. Users can then save the received information to their digital wallet.

[0094] Step 6:

[0095] Users manage NFTs in their own wallets and use the benefits when needed. Users can check the status of NFTs and the expiration dates of benefits within their wallets. They can also trade NFTs with other users through their wallets.

[0096] (Application Example 1)

[0097] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0098] The challenge lies in providing new tourism experiences through the creation and distribution of digital assets, particularly NFTs, while also stimulating local economies and improving user engagement.

[0099] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0100] In this invention, the server includes means for acquiring location information using a mobile terminal, means for automatically generating digital assets on a location-based theme using generative artificial intelligence, and means for recording the generated digital assets on a distributed database and assigning them a trackable unique identifier. This enables users to acquire unique digital assets in specific tourist destinations and take advantage of local-specific benefits.

[0101] A "mobile device" is a device that a user can carry with them while on the go, and generally refers to smartphones and tablet devices.

[0102] "Location information" refers to data about a specific place or point, and is information obtained using GPS or other location-determining technologies.

[0103] "Generative artificial intelligence" is an artificial intelligence technology that has the ability to automatically generate new information and content based on input data and themes.

[0104] "Digital assets" refer to resources and objects that are generated and managed electronically, and especially those with fixed uniqueness and ownership, such as NFTs.

[0105] A "distributed database" is a database system that manages certain types of information by distributing it across multiple nodes on a network, without going through a central server.

[0106] A "unique identifier" is a unique number or code used to distinguish a particular digital asset or piece of information from others.

[0107] "Benefit information" refers to information about additional value or services offered to users, which may include discount coupons or special experiences.

[0108] This invention is implemented in a system using a mobile terminal such as a smartphone, a server, and a generative artificial intelligence unit. Users access specific tourist spots or checkpoints using their mobile terminal. Location information is acquired via the terminal's GPS function and transmitted to the server.

[0109] Based on the received location information, the server generates a prompt message for the generating artificial intelligence and sends it to the AI ​​model. This prompt message includes a theme related to the specific location. For example, "Generate NFT art themed around Tokyo Tower and its night view. The additional element to include is local culture." The AI ​​model generates a digital asset based on the theme and returns the result to the server.

[0110] The server assigns a unique identifier to the generated digital assets (NFTs) and registers them in a distributed database. Furthermore, it links the NFTs with special offers such as discounts at specific stores or exclusive experiences.

[0111] Users can receive NFTs and reward information on their devices and manage them within a digital wallet. This wallet uses an identifier to record ownership of the NFT. Users can also transfer these NFTs to third parties.

[0112] As a concrete example, when a user visits a tourist destination, they can acquire unique digital art related to the local culture and history, and receive benefits that can be used at local shops. In this way, not only is the tourist experience enhanced through digital assets, but it is also possible to contribute to the revitalization of the local economy.

[0113] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0114] Step 1:

[0115] The user uses their mobile device to reach the tourist spot. The device obtains location information using GPS and sends that information to the server. In this process, the input is location information, and this is the location information that the server receives.

[0116] Step 2:

[0117] The server analyzes the received location information and generates a relevant theme. Based on this theme, it generates a prompt and sends it to the generation AI unit. The input is location information, and the output is the generated prompt. For example, a prompt such as "Please generate NFT art themed around Tokyo Tower and its night view. The element to add is local culture." might be formed.

[0118] Step 3:

[0119] The generating artificial intelligence unit generates an NFT design based on a prompt. The AI ​​model is applied, receiving the prompt as input and generating a digital asset as output. The generated NFT design is returned.

[0120] Step 4:

[0121] The server receives the generated digital assets, assigns them unique identifiers, and records them in a distributed database. The input is the generated digital assets, and the output is the database registration status of the NFTs, each assigned an identifier. This makes the NFTs traceable.

[0122] Step 5:

[0123] The server links the relevant reward information and sends the completed NFT to the user's device. The input is an NFT with an identification number and reward information, and the output is the NFT and its reward information displayed on the user's device. The user can then use this to claim their reward.

[0124] Step 6:

[0125] Users manage the received NFTs in a digital wallet and either redeem the rewards or transfer the NFTs to a third party. The input is the NFT information, and the output is the status of reward redemption or NFT transfer. This allows users to leverage NFTs to enjoy unique travel experiences.

[0126] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0127] This invention relates to a system that combines generative artificial intelligence (AI) and an emotion engine to generate and provide digital assets (NFTs) that correspond to the user's emotional state. This system consists of a user terminal, a server, a generative artificial intelligence unit, and an emotion engine.

[0128] When a user accesses a campaign website via their device and registers to participate, emotional data is acquired through the device's built-in camera and sensors. The emotion engine analyzes this data to recognize the user's emotional state. This analysis result is sent to a server and influences subsequent digital asset generation.

[0129] The server verifies user participation information and emotional data, and instructs the generating AI to create digital assets. The generating AI uses data obtained from the emotional engine to generate a unique NFT that matches the user's emotional state. As a result, the generated digital content is optimized for the user's emotions.

[0130] The generated NFTs are recorded in a distributed database via a server and assigned a unique identifier. Customized reward information is also generated based on emotional data and associated with the NFT. For example, if a user expresses a positive emotion, entertainment-related rewards are offered to enhance that positive emotion.

[0131] The server notifies the user of this information, and the user can verify the NFT in their digital wallet. The rewards are designed to match the user's lifestyle and current mood, increasing their satisfaction with the experience. Furthermore, NFTs can be traded with other users, and their value may increase based on emotional data.

[0132] As a concrete example, when a brand promotes a new product, it generates product-related NFTs by utilizing the emotional state of participating users. Each NFT is accompanied by user-specific benefits, increasing the likelihood of purchase. In this way, the present invention is a system that improves the user experience and enables diverse uses of digital assets.

[0133] The following describes the processing flow.

[0134] Step 1:

[0135] Users access the campaign website and apply to participate. Users enter and submit required personal information. During this process, emotional data such as the user's facial expressions and voice tone are collected through the device's sensors and camera.

[0136] Step 2:

[0137] The device sends collected emotional data to the emotion engine. The emotion engine analyzes the collected data and identifies the user's emotional state.

[0138] Step 3:

[0139] The emotion engine analyzes the emotional state data and sends it to the server. The server receives this data and stores it in a database along with campaign participation information.

[0140] Step 4:

[0141] When the server requests the AI ​​to generate digital assets, it includes acquired emotional data and user information. This allows the AI ​​to generate NFTs based on designs and themes that are appropriate for the user's emotional state.

[0142] Step 5:

[0143] The generative AI considers user emotional data to generate NFTs as visually or aurally optimized digital assets. This generation process incorporates creative content adapted to the theme.

[0144] Step 6:

[0145] The server receives the generated NFT and records it in a distributed database. Here, a unique identifier is assigned to the NFT, making it traceable.

[0146] Step 7:

[0147] The server determines the NFT-related benefits based on the user's emotional state and links this information to the NFT. For example, users experiencing stress might be offered relaxation-related benefits.

[0148] Step 8:

[0149] The server sends a notification to the user containing NFT details and reward information. The user can then verify this and add the NFT to their digital wallet.

[0150] Step 9:

[0151] Users can take advantage of the perks and trade NFTs with other users as needed. In this process, emotionally driven perks can be attractive and potentially increase the market value of NFTs.

[0152] Step 10:

[0153] The server tracks NFT transaction history and encourages continued engagement by sending emotionally-responsive updates to users who have recently earned rewards.

[0154] (Example 2)

[0155] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0156] In modern digital content creation, there are limited means to provide unique digital assets that reflect the individual emotional states of users. In particular, there is a need to enrich the user experience by generating digital assets that respond to users' instantaneous emotions and maximizing their characteristics. Furthermore, there is a lack of effective methods for managing these generated digital assets and efficiently providing reward information that enhances their value.

[0157] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0158] In this invention, the server includes means for analyzing emotional data acquired from a user terminal and recognizing the user's emotional state; means for automatically generating digital assets based on the emotional state using generative artificial intelligence; and means for recording the generated digital assets on a distributed database and assigning them a traceable unique identifier. This makes it possible to generate customized digital assets tailored to each user's individual emotions and to efficiently manage them and provide them with reward information.

[0159] A "user terminal" is a device used by a user to acquire emotional data, and is equipped with a camera, sensors, and other features, as well as communication capabilities.

[0160] "Emotional data" refers to information related to a user's emotional state, obtained through their facial expressions, voice, and other means.

[0161] "Emotional state" is an indicator that shows the characteristics of a user's temporary emotions, expressing emotional states such as enjoyment and excitement using numerical values ​​or categories.

[0162] "Generative artificial intelligence" is an artificial intelligence technology that generates digital assets in response to the user's emotional state.

[0163] "Digital assets" refer to assets represented in digital format, including generated NFTs and digital content.

[0164] A "distributed database" is a decentralized database system for recording and managing generated digital assets, assigning them unique, traceable identifiers.

[0165] A "unique identifier" is a special identification number or code assigned to uniquely identify a generated digital asset.

[0166] "Benefit information" refers to information that is generated based on user sentiment data and indicates additional value or benefits provided to the user.

[0167] This invention is a system that generates digital assets based on a user's emotional state and records them in a distributed database. The system consists of a user terminal, a server, a generative artificial intelligence, and an emotion engine.

[0168] The device is activated when the user accesses the campaign website. The user's device is equipped with a camera and sensors, and this hardware is used to acquire emotional data from the user's facial expressions and voice. Specific software examples include systems using facial recognition technology and voice analysis tools.

[0169] The acquired emotional data is analyzed by an emotion engine. The emotion engine determines the user's emotional state and expresses the result as a numerical value or category. This analyzed data is then sent to the server.

[0170] Based on the received emotion data and user participation information, the server instructs the generating artificial intelligence to create digital assets through prompt messages. An example of a prompt message might be, "If the user's emotional state is recognized as happy, generate entertainment-related digital content to amplify that emotion."

[0171] Generative artificial intelligence, for example, uses existing AI models and API services to generate unique digital assets (such as NFTs) that match a user's emotions. This generation process employs machine learning algorithms and natural language processing techniques.

[0172] The generated digital assets are recorded in a distributed database via a server and assigned a unique identifier. Customized reward information based on the user's sentiment data is also created and associated with the digital assets.

[0173] Users receive generated digital assets and reward information through notifications sent by the server. Users can view these using their digital wallets and use the reward information to enjoy personalized digital experiences based on their emotions.

[0174] In this way, this system utilizes users' emotional data to generate and manage digital assets tailored to individual emotions, thereby enabling the provision of new value.

[0175] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0176] Step 1:

[0177] The user accesses the campaign website using their device. The camera and sensors on the device are activated, and emotional data is acquired from the user's facial expressions and voice. Camera video and audio data are used as input, and facial feature point data and voice tone information are acquired as output. This allows the user's emotions to be recorded as digital data in real time.

[0178] Step 2:

[0179] The device sends the acquired emotional data to the emotion engine. The emotion engine analyzes this data and quantifies or categorizes the user's emotional state. It takes facial feature point data and voice tone information as input and outputs emotional scores such as "enjoyment" and "excitement." This analysis is performed using machine learning algorithms.

[0180] Step 3:

[0181] The terminal sends the analysis results to the server. The server instructs the generating artificial intelligence to generate digital assets based on the received sentiment analysis results and user participation information. A prompt sentence is generated, the sentiment score is used as input, and an instruction sentence to be used by the generating AI is created as output.

[0182] Step 4:

[0183] The server sends a prompt to the generative AI. The generative AI model understands the prompt and generates digital assets that match the specified emotional state. It receives a prompt as input and generates digital content such as artistic elements or music as output. Natural language processing technology and generative models are at work during this process.

[0184] Step 5:

[0185] The server assigns a unique identifier to the generated digital assets and records them in a decentralized database. It receives generated digital assets as input and outputs identifiable digital asset registration information. Blockchain technology is at work in this process.

[0186] Step 6:

[0187] The server customizes reward information for users based on emotional data and associates it with digital assets. Using emotional scores and generated digital assets as input, reward information is generated as output. The reward information is tailored to the user's emotions.

[0188] Step 7:

[0189] The server notifies the user of all information. Upon receiving the notification, the user checks the generated digital assets and reward information in their digital wallet. The system receives notification data from the server as input and outputs the data displayed in the digital wallet. This allows the user to enjoy a special experience tailored to their emotions.

[0190] (Application Example 2)

[0191] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0192] In modern digital marketing, technologies that personalize ads and digital assets based on users' emotional states have the potential to significantly improve the user experience and contribute to increased business performance. Traditional methods have struggled to provide content that reflects individual users' emotional states in real time, making it difficult to generate and deliver ads optimized for individual experiences.

[0193] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0194] In this invention, the server includes means for analyzing the user's emotional data using an emotion analysis engine, means for optimizing digital assets and advertisements based on the analysis results using generative artificial intelligence, and means for recording these in a distributed database and linking them to the user's specific address. This makes it possible to provide optimized advertisements and digital assets according to the user's emotional state.

[0195] "Generative artificial intelligence" is an artificial intelligence technology that automatically generates digital assets and advertisements based on the user's emotions and themes.

[0196] "Digital assets" are items recorded in digital format, primarily NFTs and reward information stored in distributed databases.

[0197] A "distributed database" is a system that uses blockchain technology to manage data in a decentralized manner, ensuring data transparency and security.

[0198] A "unique identifier" is a unique number or code assigned to a generated digital asset to distinguish it from others.

[0199] "Benefit information" refers to digital content that shows the special offers and benefits provided to users, and is intended to improve the user experience.

[0200] "Emotional data" refers to information that represents a user's emotional state, and is primarily acquired through cameras and sensors.

[0201] "Advertising" is promotional content created based on users' interests and emotions, with the aim of increasing user engagement.

[0202] This invention is a system that generates and delivers personalized digital assets and advertisements based on the user's emotional state. This system mainly consists of the following components:

[0203] First, the user's device is equipped with a camera and a sensor for emotion analysis, which acquires emotional data from the user's facial expressions and movements. This emotional data is initially processed on the device and then sent to a cloud server. The cloud server receives this data and uses an emotion analysis engine to analyze the user's emotional state in detail. Examples of emotion analysis engines used in this process include the TENSORFLOW® library.

[0204] Based on the analyzed sentiment data, the server utilizes a generative AI model to generate digital assets and advertisements tailored to the user. Natural language processing models such as OpenAI's GPT series can be applied to the generative AI model. The generated digital assets are recorded in a decentralized database. This database utilizes blockchain technology to ensure data traceability and security.

[0205] The generated digital assets and advertisements are assigned unique identifiers, allowing users to view them in their digital wallets. In addition, reward information is generated and communicated to users based on their emotions. This process personalizes the user experience and enhances satisfaction.

[0206] As a concrete example, consider a scenario where a user participates in an online advertising campaign using their smartphone. After capturing emotional data via the camera, this data is processed on a server to generate original NFTs and advertisements with rewards tailored to the user's entertainment interests. An example of a prompt in this case would be: "Based on data indicating the user's emotions are positive, generate an NFT for the entertainment industry and suggest advertisements that include reward information."

[0207] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0208] Step 1:

[0209] The device activates its camera and sensors to acquire user emotion data. As input, it collects user facial expressions and movement data, and based on this, generates basic data for emotion analysis. This data is initially processed on the device. As output, it provides emotion data that is sent to a cloud server.

[0210] Step 2:

[0211] The server receives emotion data sent from the terminal. It takes the emotion data as input and analyzes it using an emotion analysis engine (e.g., TensorFlow). Specifically, the analysis engine extracts facial features and determines the emotional state, such as positive or negative. As output, emotion state data based on the analysis results is generated.

[0212] Step 3:

[0213] The server sends prompts to a generative AI model using emotional state data. These prompts contain instructions for optimizing digital assets and advertisements based on the user's emotions. Analyzed emotional state data is used as input, and these instructions are sent to the AI ​​model. The output is the generated digital assets and advertising content. Specifically, the generative AI model generates optimal asset designs based on the emotional data.

[0214] Step 4:

[0215] The server records generated digital assets and advertisements in a decentralized database. The input consists of generated digital asset data and advertisement data, which are then assigned unique identifiers to make them traceable. The output is the recorded and identified digital assets. Specifically, blockchain technology is used to securely store the data.

[0216] Step 5:

[0217] The server notifies users of generated digital assets and reward information related to advertisements. Information stored in a decentralized database is used as input to generate notification messages for the user. The output provides asset information and rewards that can be viewed in the user's digital wallet. Specifically, the notification is sent to the user's device and displayed visually.

[0218] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0219] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0220] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0221] [Second Embodiment]

[0222] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0223] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0224] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0225] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0226] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0227] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0228] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0229] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0230] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0231] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0232] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0233] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0234] This invention aims to provide new value in the digital marketplace by automatically generating digital assets, particularly NFTs (Non-Fungible Tokens), using generative artificial intelligence (AI), and managing them in a decentralized database, thereby enabling the provision of benefits to users.

[0235] The system consists of a user terminal, a server, and a generating artificial intelligence unit. First, the user accesses the campaign site using their terminal and applies to participate in the campaign. Here, the user enters the required information and submits the application.

[0236] Next, when the server receives information sent from the terminal, it first verifies and registers that information. This information includes user identification information and campaign details. After that, the server instructs the generating artificial intelligence to create the NFT. The AI ​​creates its own design and content based on the instructed theme.

[0237] The generated digital assets, known as NFTs, are registered in a distributed database by a server, where they are assigned a unique identifier. At the same time, the NFTs are also linked to associated reward information, such as coupons usable in stores or special user experiences.

[0238] The server then notifies the user of the details and benefits of this NFT. The user can manage the NFT in their digital wallet and redeem the benefits. This NFT may also be traded on the secondary market. The server will continuously provide the user with information on NFT trading and the status of available unused benefits.

[0239] As a concrete example, let's assume a company runs a fashion campaign. When a user signs up to participate, a generative AI generates a unique NFT design on a fashion-related theme. This NFT is sent to the user, who is given a discount on new products as a reward. The user can then either keep the NFT or sell it to another user who is interested in the discount.

[0240] Thus, the present invention allows companies to enhance the effectiveness of their campaigns while users can gain engagement and value-added experiences.

[0241] The following describes the processing flow.

[0242] Step 1:

[0243] Users access the campaign website and submit an application to participate. They enter the required personal and contact information and submit the application form.

[0244] Step 2:

[0245] The device sends user input data to the server. This data contains information necessary for providing benefits.

[0246] Step 3:

[0247] The server checks the user data received from the terminal. It performs checks to ensure the information is in the correct format and that it is not already registered, and then registers it in the database.

[0248] Step 4:

[0249] The server requests the AI ​​to generate NFTs. Instructions based on user information and the campaign theme are provided to the AI.

[0250] Step 5:

[0251] The generating AI, following instructions received from the server, creates NFTs as unique digital assets. This process involves creating images, music, or other digital content that aligns with the theme.

[0252] Step 6:

[0253] The server registers the generated NFTs in a distributed database. During this process, a unique identifier is assigned to the NFT, and it is recorded on the blockchain.

[0254] Step 7:

[0255] The server sets up reward information related to the NFT and notifies the user of this information to their email address or other contact information.

[0256] Step 8:

[0257] The user receives a notification from the server and verifies the NFT in their digital wallet. They then use the offer information to receive discounts at stores and services.

[0258] Step 9:

[0259] Users trade NFTs on secondary market platforms as needed. NFTs with unused perks can potentially have high market value.

[0260] Step 10:

[0261] The server monitors transaction status and maintains overall system engagement by providing renewed reward information when a new owner appears.

[0262] (Example 1)

[0263] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0264] The challenges in generating and managing digital assets, particularly non-fungible tokens requiring unique identification, include streamlining their creation and management. Furthermore, it is difficult to quickly and reliably notify users of rewards associated with the generated assets. Additionally, there is a need for a system that allows users to easily conduct transactions using the rewards they have earned.

[0265] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0266] In this invention, the server includes means for receiving and confirming information entered from a user terminal, means for automatically generating digital assets using generative artificial intelligence, and means for recording the generated digital assets on a distributed data storage medium and assigning them a traceable unique identifier. This enables efficient generation and management of digital assets, and reliable and rapid notification of reward information. Furthermore, it allows users to easily execute transactions using assets and rewards.

[0267] A "user terminal" refers to an electronic device used by a user to input and transmit information, and includes computers, smartphones, and other similar devices.

[0268] A "server" refers to a computer system that receives and processes information sent by a user.

[0269] "Generative artificial intelligence" refers to artificial intelligence technology that has the ability to automatically generate digital assets based on specified themes and conditions.

[0270] "Digital assets" refer to assets that exist as electronic data and possess intrinsic value, including non-fungible tokens.

[0271] A "distributed data storage medium" refers to a recording method that stores data in a distributed manner across multiple network nodes, enabling information tracking and management without centralized management.

[0272] A "unique identifier" refers to an identification code assigned to uniquely identify a particular digital asset.

[0273] "Benefit information" refers to information about privileges and services granted to users associated with digital assets.

[0274] A "wallet address" refers to an identification number or record location used by a user to store and manage their digital assets.

[0275] "Transaction" refers to the act of a user using digital assets or associated reward information to exchange them for other forms of value.

[0276] This invention is implemented using a system comprising a user terminal, a server, and a generating artificial intelligence unit.

[0277] Users can access the campaign website using their own devices and register to participate. Users enter the necessary information on their devices and send it to the server.

[0278] The server receives and verifies user information sent from the terminal and registers it in the database. The server instructs the generating artificial intelligence unit to generate digital assets using prompt statements. In this process, the server provides the prompt statements necessary for the generating AI model to work based on a theme. An example of a prompt statement is, "Generate an NFT themed on the latest fashion trends. It will offer a discount on new products."

[0279] A generative AI model generates digital assets based on instructed prompts. The generated digital assets, or non-fungible tokens (NFTs), are recorded on a decentralized data storage medium along with a unique identifier.

[0280] The server notifies the user of information about the generated NFT, along with any associated rewards. Based on the information provided, the user can manage the NFT in their wallet and trade or use the rewards as needed.

[0281] For example, when a fashion company promotes a new product, a generative AI generates a unique NFT with the theme of "summer fashion," which is then provided to users via a server. As a reward, users receive a discount on the new product. Users can then use this reward to purchase the new product.

[0282] Through the above, the enterprise can effectively implement the campaign and build a system that allows users to own their digital assets while enjoying the benefits.

[0283] The flow of the specific process in Example 1 will be described using FIG. 11.

[0284] Step 1:

[0285] The user uses the terminal to access the campaign site and enters information for participation application. The input data includes the user's name, contact information, specific information about the campaign, etc. The terminal sends these input information to the server.

[0286] Step 2:

[0287] The server checks the user information received from the terminal and checks the data integrity. Specifically, it verifies whether the received data format is correct and whether all required items are entered. After that, the server registers the verified user information in the database. When registering, user IDs and campaign IDs are issued to facilitate data management.

[0288] Step 3:

[0289] The server instructs the generated AI model to generate digital assets using a prompt sentence. The prompt sentence is based on the theme of the campaign and includes specific instructions such as "Please create an NFT with the theme of spring flowers". The generated AI performs data processing to generate designs and content along the theme according to the input prompt.

[0290] Step 4:

[0291] The server receives the digital assets (NFTs) generated by the generation AI model and registers the data in a distributed data storage medium. At this time, the server assigns a unique identifier to the NFT. It also links related reward information to the NFT. This reward information may include, for example, coupon codes or invitations to exclusive events.

[0292] Step 5:

[0293] The server notifies the user of the details and rewards associated with the generated NFT. This notification is typically done via email or app push notifications. Users can then save the received information to their digital wallet.

[0294] Step 6:

[0295] Users manage NFTs in their own wallets and use the benefits when needed. Users can check the status of NFTs and the expiration dates of benefits within their wallets. They can also trade NFTs with other users through their wallets.

[0296] (Application Example 1)

[0297] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0298] The challenge lies in providing new tourism experiences through the creation and distribution of digital assets, particularly NFTs, while also stimulating local economies and improving user engagement.

[0299] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0300] In this invention, the server includes means for acquiring location information using a mobile terminal, means for automatically generating digital assets based on a theme based on the location information using a generative artificial intelligence, and means for recording the generated digital assets on a distributed database and assigning a unique identifier that can be traced. As a result, users can obtain unique digital assets at specific tourist destinations and utilize the local-specific benefits.

[0301] A "mobile terminal" refers to a device that a user can carry and move with, and generally refers to a smartphone or a tablet terminal.

[0302] "Location information" refers to data regarding a specific place or location, and is information obtained using GPS or other location identification technologies.

[0303] A "generative artificial intelligence" is an artificial intelligence technology that has the ability to automatically generate new information and content based on the input data or theme.

[0304] A "digital asset" refers to a resource or object that is electronically generated and managed, and particularly refers to something with uniqueness and ownership fixed like an NFT.

[0305] A "distributed database" is a database system that manages a certain type of information distributed among multiple nodes on a network without going through a central server.

[0306] A "unique identifier" is a unique number or code used to distinguish a specific digital asset or information from others.

[0307] "Benefit information" refers to information regarding additional value or services provided to users, and may include discount coupons or special experiences.

[0308] This invention is implemented in a system using a mobile terminal such as a smartphone, a server, and a generative artificial intelligence unit. Users access specific tourist spots or checkpoints using their mobile terminal. Location information is acquired via the terminal's GPS function and transmitted to the server.

[0309] Based on the received location information, the server generates a prompt message for the generating artificial intelligence and sends it to the AI ​​model. This prompt message includes a theme related to the specific location. For example, "Generate NFT art themed around Tokyo Tower and its night view. The additional element to include is local culture." The AI ​​model generates a digital asset based on the theme and returns the result to the server.

[0310] The server assigns a unique identifier to the generated digital assets (NFTs) and registers them in a distributed database. Furthermore, it links the NFTs with special offers such as discounts at specific stores or exclusive experiences.

[0311] Users can receive NFTs and reward information on their devices and manage them within a digital wallet. This wallet uses an identifier to record ownership of the NFT. Users can also transfer these NFTs to third parties.

[0312] As a concrete example, when a user visits a tourist destination, they can acquire unique digital art related to the local culture and history, and receive benefits that can be used at local shops. In this way, not only is the tourist experience enhanced through digital assets, but it is also possible to contribute to the revitalization of the local economy.

[0313] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0314] Step 1:

[0315] The user uses their mobile device to reach the tourist spot. The device obtains location information using GPS and sends that information to the server. In this process, the input is location information, and this is the location information that the server receives.

[0316] Step 2:

[0317] The server analyzes the received location information and generates a relevant theme. Based on this theme, it generates a prompt and sends it to the generation AI unit. The input is location information, and the output is the generated prompt. For example, a prompt such as "Please generate NFT art themed around Tokyo Tower and its night view. The element to add is local culture." might be formed.

[0318] Step 3:

[0319] The generating artificial intelligence unit generates an NFT design based on a prompt. The AI ​​model is applied, receiving the prompt as input and generating a digital asset as output. The generated NFT design is returned.

[0320] Step 4:

[0321] The server receives the generated digital assets, assigns them unique identifiers, and records them in a distributed database. The input is the generated digital assets, and the output is the database registration status of the NFTs, each assigned an identifier. This makes the NFTs traceable.

[0322] Step 5:

[0323] The server links the relevant reward information and sends the completed NFT to the user's device. The input is an NFT with an identification number and reward information, and the output is the NFT and its reward information displayed on the user's device. The user can then use this to claim their reward.

[0324] Step 6:

[0325] Users manage the received NFTs in a digital wallet and either redeem the rewards or transfer the NFTs to a third party. The input is the NFT information, and the output is the status of reward redemption or NFT transfer. This allows users to leverage NFTs to enjoy unique travel experiences.

[0326] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0327] This invention relates to a system that combines generative artificial intelligence (AI) and an emotion engine to generate and provide digital assets (NFTs) that correspond to the user's emotional state. This system consists of a user terminal, a server, a generative artificial intelligence unit, and an emotion engine.

[0328] When a user accesses a campaign website via their device and registers to participate, emotional data is acquired through the device's built-in camera and sensors. The emotion engine analyzes this data to recognize the user's emotional state. This analysis result is sent to a server and influences subsequent digital asset generation.

[0329] The server verifies user participation information and emotional data, and instructs the generating AI to create digital assets. The generating AI uses data obtained from the emotional engine to generate a unique NFT that matches the user's emotional state. As a result, the generated digital content is optimized for the user's emotions.

[0330] The generated NFTs are recorded in a distributed database via a server and assigned a unique identifier. Customized reward information is also generated based on emotional data and associated with the NFT. For example, if a user expresses a positive emotion, entertainment-related rewards are offered to enhance that positive emotion.

[0331] The server notifies the user of this information, and the user can verify the NFT in their digital wallet. The rewards are designed to match the user's lifestyle and current mood, increasing their satisfaction with the experience. Furthermore, NFTs can be traded with other users, and their value may increase based on emotional data.

[0332] As a concrete example, when a brand promotes a new product, it generates product-related NFTs by utilizing the emotional state of participating users. Each NFT is accompanied by user-specific benefits, increasing the likelihood of purchase. In this way, the present invention is a system that improves the user experience and enables diverse uses of digital assets.

[0333] The following describes the processing flow.

[0334] Step 1:

[0335] Users access the campaign website and apply to participate. Users enter and submit required personal information. During this process, emotional data such as the user's facial expressions and voice tone are collected through the device's sensors and camera.

[0336] Step 2:

[0337] The device sends collected emotional data to the emotion engine. The emotion engine analyzes the collected data and identifies the user's emotional state.

[0338] Step 3:

[0339] The emotion engine analyzes the emotional state data and sends it to the server. The server receives this data and stores it in a database along with campaign participation information.

[0340] Step 4:

[0341] When the server requests the AI ​​to generate digital assets, it includes acquired emotional data and user information. This allows the AI ​​to generate NFTs based on designs and themes that are appropriate for the user's emotional state.

[0342] Step 5:

[0343] The generative AI considers user emotional data to generate NFTs as visually or aurally optimized digital assets. This generation process incorporates creative content adapted to the theme.

[0344] Step 6:

[0345] The server receives the generated NFT and records it in a distributed database. Here, a unique identifier is assigned to the NFT, making it traceable.

[0346] Step 7:

[0347] The server determines the NFT-related benefits based on the user's emotional state and links this information to the NFT. For example, users experiencing stress might be offered relaxation-related benefits.

[0348] Step 8:

[0349] The server sends a notification to the user containing NFT details and reward information. The user can then verify this and add the NFT to their digital wallet.

[0350] Step 9:

[0351] Users can take advantage of the perks and trade NFTs with other users as needed. In this process, emotionally driven perks can be attractive and potentially increase the market value of NFTs.

[0352] Step 10:

[0353] The server tracks NFT transaction history and encourages continued engagement by sending emotionally-responsive updates to users who have recently earned rewards.

[0354] (Example 2)

[0355] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0356] In modern digital content creation, there are limited means to provide unique digital assets that reflect the individual emotional states of users. In particular, there is a need to enrich the user experience by generating digital assets that respond to users' instantaneous emotions and maximizing their characteristics. Furthermore, there is a lack of effective methods for managing these generated digital assets and efficiently providing reward information that enhances their value.

[0357] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0358] In this invention, the server includes means for analyzing emotional data acquired from a user terminal and recognizing the user's emotional state; means for automatically generating digital assets based on the emotional state using generative artificial intelligence; and means for recording the generated digital assets on a distributed database and assigning them a traceable unique identifier. This makes it possible to generate customized digital assets tailored to each user's individual emotions and to efficiently manage them and provide them with reward information.

[0359] A "user terminal" is a device used by a user to acquire emotional data, and is equipped with a camera, sensors, and other features, as well as communication capabilities.

[0360] "Emotional data" refers to information related to a user's emotional state, obtained through their facial expressions, voice, and other means.

[0361] "Emotional state" is an indicator that shows the characteristics of a user's temporary emotions, expressing emotional states such as enjoyment and excitement using numerical values ​​or categories.

[0362] "Generative artificial intelligence" is an artificial intelligence technology that generates digital assets in response to the user's emotional state.

[0363] "Digital assets" refer to assets represented in digital format, including generated NFTs and digital content.

[0364] A "distributed database" is a decentralized database system for recording and managing generated digital assets, assigning them unique, traceable identifiers.

[0365] A "unique identifier" is a special identification number or code assigned to uniquely identify a generated digital asset.

[0366] "Benefit information" refers to information that is generated based on user sentiment data and indicates additional value or benefits provided to the user.

[0367] This invention is a system that generates digital assets based on a user's emotional state and records them in a distributed database. The system consists of a user terminal, a server, a generative artificial intelligence, and an emotion engine.

[0368] The device is activated when the user accesses the campaign website. The user's device is equipped with a camera and sensors, and this hardware is used to acquire emotional data from the user's facial expressions and voice. Specific software examples include systems using facial recognition technology and voice analysis tools.

[0369] The acquired emotional data is analyzed by an emotion engine. The emotion engine determines the user's emotional state and expresses the result as a numerical value or category. This analyzed data is then sent to the server.

[0370] Based on the received emotion data and user participation information, the server instructs the generating artificial intelligence to create digital assets through prompt messages. An example of a prompt message might be, "If the user's emotional state is recognized as happy, generate entertainment-related digital content to amplify that emotion."

[0371] Generative artificial intelligence, for example, uses existing AI models and API services to generate unique digital assets (such as NFTs) that match a user's emotions. This generation process employs machine learning algorithms and natural language processing techniques.

[0372] The generated digital assets are recorded in a distributed database via a server and assigned a unique identifier. Customized reward information based on the user's sentiment data is also created and associated with the digital assets.

[0373] Users receive generated digital assets and reward information through notifications sent by the server. Users can view these using their digital wallets and use the reward information to enjoy personalized digital experiences based on their emotions.

[0374] In this way, this system utilizes users' emotional data to generate and manage digital assets tailored to individual emotions, thereby enabling the provision of new value.

[0375] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0376] Step 1:

[0377] The user accesses the campaign website using their device. The camera and sensors on the device are activated, and emotional data is acquired from the user's facial expressions and voice. Camera video and audio data are used as input, and facial feature point data and voice tone information are acquired as output. This allows the user's emotions to be recorded as digital data in real time.

[0378] Step 2:

[0379] The device sends the acquired emotional data to the emotion engine. The emotion engine analyzes this data and quantifies or categorizes the user's emotional state. It takes facial feature point data and voice tone information as input and outputs emotional scores such as "enjoyment" and "excitement." This analysis is performed using machine learning algorithms.

[0380] Step 3:

[0381] The terminal sends the analysis results to the server. The server instructs the generating artificial intelligence to generate digital assets based on the received sentiment analysis results and user participation information. A prompt sentence is generated, the sentiment score is used as input, and an instruction sentence to be used by the generating AI is created as output.

[0382] Step 4:

[0383] The server sends a prompt to the generative AI. The generative AI model understands the prompt and generates digital assets that match the specified emotional state. It receives a prompt as input and generates digital content such as artistic elements or music as output. Natural language processing technology and generative models are at work during this process.

[0384] Step 5:

[0385] The server assigns a unique identifier to the generated digital assets and records them in a decentralized database. It receives generated digital assets as input and outputs identifiable digital asset registration information. Blockchain technology is at work in this process.

[0386] Step 6:

[0387] The server customizes reward information for users based on emotional data and associates it with digital assets. Using emotional scores and generated digital assets as input, reward information is generated as output. The reward information is tailored to the user's emotions.

[0388] Step 7:

[0389] The server notifies the user of all information. Upon receiving the notification, the user checks the generated digital assets and reward information in their digital wallet. The system receives notification data from the server as input and outputs the data displayed in the digital wallet. This allows the user to enjoy a special experience tailored to their emotions.

[0390] (Application Example 2)

[0391] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0392] In modern digital marketing, technologies that personalize ads and digital assets based on users' emotional states have the potential to significantly improve the user experience and contribute to increased business performance. Traditional methods have struggled to provide content that reflects individual users' emotional states in real time, making it difficult to generate and deliver ads optimized for individual experiences.

[0393] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0394] In this invention, the server includes means for analyzing the user's emotional data using an emotion analysis engine, means for optimizing digital assets and advertisements based on the analysis results using generative artificial intelligence, and means for recording these in a distributed database and linking them to the user's specific address. This makes it possible to provide optimized advertisements and digital assets according to the user's emotional state.

[0395] "Generative artificial intelligence" is an artificial intelligence technology that automatically generates digital assets and advertisements based on the user's emotions and themes.

[0396] "Digital assets" are items recorded in digital format, primarily NFTs and reward information stored in distributed databases.

[0397] A "distributed database" is a system that uses blockchain technology to manage data in a decentralized manner, ensuring data transparency and security.

[0398] A "unique identifier" is a unique number or code assigned to a generated digital asset to distinguish it from others.

[0399] "Benefit information" refers to digital content that shows the special offers and benefits provided to users, and is intended to improve the user experience.

[0400] "Emotional data" refers to information that represents a user's emotional state, and is primarily acquired through cameras and sensors.

[0401] "Advertising" is promotional content created based on users' interests and emotions, with the aim of increasing user engagement.

[0402] This invention is a system that generates and delivers personalized digital assets and advertisements based on the user's emotional state. This system mainly consists of the following components:

[0403] First, the user's device is equipped with a camera and a sensor for emotion analysis, which acquires emotional data from the user's facial expressions and movements. This emotional data is initially processed on the device and then sent to a cloud server. The cloud server receives this data and uses an emotion analysis engine to analyze the user's emotional state in detail. Examples of emotion analysis engines used in this process include libraries such as TensorFlow.

[0404] Based on the analyzed sentiment data, the server utilizes a generative AI model to generate digital assets and advertisements tailored to the user. Natural language processing models such as OpenAI's GPT series can be applied to the generative AI model. The generated digital assets are recorded in a decentralized database. This database utilizes blockchain technology to ensure data traceability and security.

[0405] The generated digital assets and advertisements are assigned unique identifiers, allowing users to view them in their digital wallets. In addition, reward information is generated and communicated to users based on their emotions. This process personalizes the user experience and enhances satisfaction.

[0406] As a concrete example, consider a scenario where a user participates in an online advertising campaign using their smartphone. After capturing emotional data via the camera, this data is processed on a server to generate original NFTs and advertisements with rewards tailored to the user's entertainment interests. An example of a prompt in this case would be: "Based on data indicating the user's emotions are positive, generate an NFT for the entertainment industry and suggest advertisements that include reward information."

[0407] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0408] Step 1:

[0409] The device activates its camera and sensors to acquire user emotion data. As input, it collects user facial expressions and movement data, and based on this, generates basic data for emotion analysis. This data is initially processed on the device. As output, it provides emotion data that is sent to a cloud server.

[0410] Step 2:

[0411] The server receives emotion data sent from the terminal. It takes the emotion data as input and analyzes it using an emotion analysis engine (e.g., TensorFlow). Specifically, the analysis engine extracts facial features and determines the emotional state, such as positive or negative. As output, emotion state data based on the analysis results is generated.

[0412] Step 3:

[0413] The server sends prompts to a generative AI model using emotional state data. These prompts contain instructions for optimizing digital assets and advertisements based on the user's emotions. Analyzed emotional state data is used as input, and these instructions are sent to the AI ​​model. The output is the generated digital assets and advertising content. Specifically, the generative AI model generates optimal asset designs based on the emotional data.

[0414] Step 4:

[0415] The server records generated digital assets and advertisements in a decentralized database. The input consists of generated digital asset data and advertisement data, which are then assigned unique identifiers to make them traceable. The output is the recorded and identified digital assets. Specifically, blockchain technology is used to securely store the data.

[0416] Step 5:

[0417] The server notifies users of generated digital assets and reward information related to advertisements. Information stored in a decentralized database is used as input to generate notification messages for the user. The output provides asset information and rewards that can be viewed in the user's digital wallet. Specifically, the notification is sent to the user's device and displayed visually.

[0418] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0419] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0420] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0421] [Third Embodiment]

[0422] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0423] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0424] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0425] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0426] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0427] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0428] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0429] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0430] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0431] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0432] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0433] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0434] This invention aims to provide new value in the digital marketplace by automatically generating digital assets, particularly NFTs (Non-Fungible Tokens), using generative artificial intelligence (AI), and managing them in a decentralized database, thereby enabling the provision of benefits to users.

[0435] The system consists of a user terminal, a server, and a generating artificial intelligence unit. First, the user accesses the campaign site using their terminal and applies to participate in the campaign. Here, the user enters the required information and submits the application.

[0436] Next, when the server receives information sent from the terminal, it first verifies and registers that information. This information includes user identification information and campaign details. After that, the server instructs the generating artificial intelligence to create the NFT. The AI ​​creates its own design and content based on the instructed theme.

[0437] The generated digital assets, known as NFTs, are registered in a distributed database by a server, where they are assigned a unique identifier. At the same time, the NFTs are also linked to associated reward information, such as coupons usable in stores or special user experiences.

[0438] The server then notifies the user of the details and benefits of this NFT. The user can manage the NFT in their digital wallet and redeem the benefits. This NFT may also be traded on the secondary market. The server will continuously provide the user with information on NFT trading and the status of available unused benefits.

[0439] As a concrete example, let's assume a company runs a fashion campaign. When a user signs up to participate, a generative AI generates a unique NFT design on a fashion-related theme. This NFT is sent to the user, who is given a discount on new products as a reward. The user can then either keep the NFT or sell it to another user who is interested in the discount.

[0440] Thus, the present invention allows companies to enhance the effectiveness of their campaigns while users can gain engagement and value-added experiences.

[0441] The following describes the processing flow.

[0442] Step 1:

[0443] Users access the campaign website and submit an application to participate. They enter the required personal and contact information and submit the application form.

[0444] Step 2:

[0445] The device sends user input data to the server. This data contains information necessary for providing benefits.

[0446] Step 3:

[0447] The server checks the user data received from the terminal. It performs checks to ensure the information is in the correct format and that it is not already registered, and then registers it in the database.

[0448] Step 4:

[0449] The server requests the AI ​​to generate NFTs. Instructions based on user information and the campaign theme are provided to the AI.

[0450] Step 5:

[0451] The generating AI, following instructions received from the server, creates NFTs as unique digital assets. This process involves creating images, music, or other digital content that aligns with the theme.

[0452] Step 6:

[0453] The server registers the generated NFTs in a distributed database. During this process, a unique identifier is assigned to the NFT, and it is recorded on the blockchain.

[0454] Step 7:

[0455] The server sets up reward information related to the NFT and notifies the user of this information to their email address or other contact information.

[0456] Step 8:

[0457] The user receives a notification from the server and verifies the NFT in their digital wallet. They then use the offer information to receive discounts at stores and services.

[0458] Step 9:

[0459] Users trade NFTs on secondary market platforms as needed. NFTs with unused perks can potentially have high market value.

[0460] Step 10:

[0461] The server monitors transaction status and maintains overall system engagement by providing renewed reward information when a new owner appears.

[0462] (Example 1)

[0463] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0464] The challenges in generating and managing digital assets, particularly non-fungible tokens requiring unique identification, include streamlining their creation and management. Furthermore, it is difficult to quickly and reliably notify users of rewards associated with the generated assets. Additionally, there is a need for a system that allows users to easily conduct transactions using the rewards they have earned.

[0465] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0466] In this invention, the server includes means for receiving and confirming information entered from a user terminal, means for automatically generating digital assets using generative artificial intelligence, and means for recording the generated digital assets on a distributed data storage medium and assigning them a traceable unique identifier. This enables efficient generation and management of digital assets, and reliable and rapid notification of reward information. Furthermore, it allows users to easily execute transactions using assets and rewards.

[0467] A "user terminal" refers to an electronic device used by a user to input and transmit information, and includes computers, smartphones, and other similar devices.

[0468] A "server" refers to a computer system that receives and processes information sent by a user.

[0469] "Generative artificial intelligence" refers to artificial intelligence technology that has the ability to automatically generate digital assets based on specified themes and conditions.

[0470] "Digital assets" refer to assets that exist as electronic data and possess intrinsic value, including non-fungible tokens.

[0471] A "distributed data storage medium" refers to a recording method that stores data in a distributed manner across multiple network nodes, enabling information tracking and management without centralized management.

[0472] A "unique identifier" refers to an identification code assigned to uniquely identify a particular digital asset.

[0473] "Benefit information" refers to information about privileges and services granted to users associated with digital assets.

[0474] A "wallet address" refers to an identification number or record location used by a user to store and manage their digital assets.

[0475] "Transaction" refers to the act of a user using digital assets or associated reward information to exchange them for other forms of value.

[0476] This invention is implemented using a system comprising a user terminal, a server, and a generating artificial intelligence unit.

[0477] Users can access the campaign website using their own devices and register to participate. Users enter the necessary information on their devices and send it to the server.

[0478] The server receives and verifies user information sent from the terminal and registers it in the database. The server instructs the generating artificial intelligence unit to generate digital assets using prompt statements. In this process, the server provides the prompt statements necessary for the generating AI model to work based on a theme. An example of a prompt statement is, "Generate an NFT themed on the latest fashion trends. It will offer a discount on new products."

[0479] A generative AI model generates digital assets based on instructed prompts. The generated digital assets, or non-fungible tokens (NFTs), are recorded on a decentralized data storage medium along with a unique identifier.

[0480] The server notifies the user of information about the generated NFT, along with any associated rewards. Based on the information provided, the user can manage the NFT in their wallet and trade or use the rewards as needed.

[0481] For example, when a fashion company promotes a new product, a generative AI generates a unique NFT with the theme of "summer fashion," which is then provided to users via a server. As a reward, users receive a discount on the new product. Users can then use this reward to purchase the new product.

[0482] Through the above, it is possible for companies to effectively conduct campaigns and build a system in which users can enjoy benefits while owning their own digital assets.

[0483] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0484] Step 1:

[0485] The user accesses the campaign website using their device and enters information to register for participation. This information includes the user's name, contact details, and campaign-specific information. The device then sends this information to the server.

[0486] Step 2:

[0487] The server verifies user information received from the terminal and checks data integrity. Specifically, it verifies whether the received data format is correct and whether all required fields are filled in. After that, the server registers the verified user information in the database. During registration, a user ID and campaign ID are issued to facilitate data management.

[0488] Step 3:

[0489] The server instructs the generation AI model to create digital assets using prompts. These prompts are based on the campaign theme and include specific instructions, such as "Create an NFT with a spring flower theme." The generation AI follows the input prompts and processes the data to generate designs and content that align with the theme.

[0490] Step 4:

[0491] The server receives the digital assets (NFTs) generated by the generation AI model and registers the data in a distributed data storage medium. At this time, the server assigns a unique identifier to the NFT. It also links related reward information to the NFT. This reward information may include, for example, coupon codes or invitations to exclusive events.

[0492] Step 5:

[0493] The server notifies the user of the details and rewards associated with the generated NFT. This notification is typically done via email or app push notifications. Users can then save the received information to their digital wallet.

[0494] Step 6:

[0495] Users manage NFTs in their own wallets and use the benefits when needed. Users can check the status of NFTs and the expiration dates of benefits within their wallets. They can also trade NFTs with other users through their wallets.

[0496] (Application Example 1)

[0497] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0498] The challenge lies in providing new tourism experiences through the creation and distribution of digital assets, particularly NFTs, while also stimulating local economies and improving user engagement.

[0499] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0500] In this invention, the server includes means for acquiring location information using a mobile terminal, means for automatically generating digital assets on a location-based theme using generative artificial intelligence, and means for recording the generated digital assets on a distributed database and assigning them a trackable unique identifier. This enables users to acquire unique digital assets in specific tourist destinations and take advantage of local-specific benefits.

[0501] A "mobile device" is a device that a user can carry with them while on the go, and generally refers to smartphones and tablet devices.

[0502] "Location information" refers to data about a specific place or point, and is information obtained using GPS or other location-determining technologies.

[0503] "Generative artificial intelligence" is an artificial intelligence technology that has the ability to automatically generate new information and content based on input data and themes.

[0504] "Digital assets" refer to resources and objects that are generated and managed electronically, and especially those with fixed uniqueness and ownership, such as NFTs.

[0505] A "distributed database" is a database system that manages certain types of information by distributing it across multiple nodes on a network, without going through a central server.

[0506] A "unique identifier" is a unique number or code used to distinguish a particular digital asset or piece of information from others.

[0507] "Benefit information" refers to information about additional value or services offered to users, which may include discount coupons or special experiences.

[0508] This invention is implemented in a system using a mobile terminal such as a smartphone, a server, and a generative artificial intelligence unit. Users access specific tourist spots or checkpoints using their mobile terminal. Location information is acquired via the terminal's GPS function and transmitted to the server.

[0509] Based on the received location information, the server generates a prompt message for the generating artificial intelligence and sends it to the AI ​​model. This prompt message includes a theme related to the specific location. For example, "Generate NFT art themed around Tokyo Tower and its night view. The additional element to include is local culture." The AI ​​model generates a digital asset based on the theme and returns the result to the server.

[0510] The server assigns a unique identifier to the generated digital assets (NFTs) and registers them in a distributed database. Furthermore, it links the NFTs with special offers such as discounts at specific stores or exclusive experiences.

[0511] Users can receive NFTs and reward information on their devices and manage them within a digital wallet. This wallet uses an identifier to record ownership of the NFT. Users can also transfer these NFTs to third parties.

[0512] As a concrete example, when a user visits a tourist destination, they can acquire unique digital art related to the local culture and history, and receive benefits that can be used at local shops. In this way, not only is the tourist experience enhanced through digital assets, but it is also possible to contribute to the revitalization of the local economy.

[0513] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0514] Step 1:

[0515] The user uses their mobile device to reach the tourist spot. The device obtains location information using GPS and sends that information to the server. In this process, the input is location information, and this is the location information that the server receives.

[0516] Step 2:

[0517] The server analyzes the received location information and generates a relevant theme. Based on this theme, it generates a prompt and sends it to the generation AI unit. The input is location information, and the output is the generated prompt. For example, a prompt such as "Please generate NFT art themed around Tokyo Tower and its night view. The element to add is local culture." might be formed.

[0518] Step 3:

[0519] The generating artificial intelligence unit generates an NFT design based on a prompt. The AI ​​model is applied, receiving the prompt as input and generating a digital asset as output. The generated NFT design is returned.

[0520] Step 4:

[0521] The server receives the generated digital assets, assigns them unique identifiers, and records them in a distributed database. The input is the generated digital assets, and the output is the database registration status of the NFTs, each assigned an identifier. This makes the NFTs traceable.

[0522] Step 5:

[0523] The server links the relevant reward information and sends the completed NFT to the user's device. The input is an NFT with an identification number and reward information, and the output is the NFT and its reward information displayed on the user's device. The user can then use this to claim their reward.

[0524] Step 6:

[0525] Users manage the received NFTs in a digital wallet and either redeem the rewards or transfer the NFTs to a third party. The input is the NFT information, and the output is the status of reward redemption or NFT transfer. This allows users to leverage NFTs to enjoy unique travel experiences.

[0526] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0527] This invention relates to a system that combines generative artificial intelligence (AI) and an emotion engine to generate and provide digital assets (NFTs) that correspond to the user's emotional state. This system consists of a user terminal, a server, a generative artificial intelligence unit, and an emotion engine.

[0528] When a user accesses a campaign website via their device and registers to participate, emotional data is acquired through the device's built-in camera and sensors. The emotion engine analyzes this data to recognize the user's emotional state. This analysis result is sent to a server and influences subsequent digital asset generation.

[0529] The server verifies user participation information and emotional data, and instructs the generating AI to create digital assets. The generating AI uses data obtained from the emotional engine to generate a unique NFT that matches the user's emotional state. As a result, the generated digital content is optimized for the user's emotions.

[0530] The generated NFTs are recorded in a distributed database via a server and assigned a unique identifier. Customized reward information is also generated based on emotional data and associated with the NFT. For example, if a user expresses a positive emotion, entertainment-related rewards are offered to enhance that positive emotion.

[0531] The server notifies the user of this information, and the user can verify the NFT in their digital wallet. The rewards are designed to match the user's lifestyle and current mood, increasing their satisfaction with the experience. Furthermore, NFTs can be traded with other users, and their value may increase based on emotional data.

[0532] As a concrete example, when a brand promotes a new product, it generates product-related NFTs by utilizing the emotional state of participating users. Each NFT is accompanied by user-specific benefits, increasing the likelihood of purchase. In this way, the present invention is a system that improves the user experience and enables diverse uses of digital assets.

[0533] The following describes the processing flow.

[0534] Step 1:

[0535] Users access the campaign website and apply to participate. Users enter and submit required personal information. During this process, emotional data such as the user's facial expressions and voice tone are collected through the device's sensors and camera.

[0536] Step 2:

[0537] The device sends collected emotional data to the emotion engine. The emotion engine analyzes the collected data and identifies the user's emotional state.

[0538] Step 3:

[0539] The emotion engine analyzes the emotional state data and sends it to the server. The server receives this data and stores it in a database along with campaign participation information.

[0540] Step 4:

[0541] When the server requests the AI ​​to generate digital assets, it includes acquired emotional data and user information. This allows the AI ​​to generate NFTs based on designs and themes that are appropriate for the user's emotional state.

[0542] Step 5:

[0543] The generative AI considers user emotional data to generate NFTs as visually or aurally optimized digital assets. This generation process incorporates creative content adapted to the theme.

[0544] Step 6:

[0545] The server receives the generated NFT and records it in a distributed database. Here, a unique identifier is assigned to the NFT, making it traceable.

[0546] Step 7:

[0547] The server determines the NFT-related benefits based on the user's emotional state and links this information to the NFT. For example, users experiencing stress might be offered relaxation-related benefits.

[0548] Step 8:

[0549] The server sends a notification to the user containing NFT details and reward information. The user can then verify this and add the NFT to their digital wallet.

[0550] Step 9:

[0551] Users can take advantage of the perks and trade NFTs with other users as needed. In this process, emotionally driven perks can be attractive and potentially increase the market value of NFTs.

[0552] Step 10:

[0553] The server tracks NFT transaction history and encourages continued engagement by sending emotionally-responsive updates to users who have recently earned rewards.

[0554] (Example 2)

[0555] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0556] In modern digital content creation, there are limited means to provide unique digital assets that reflect the individual emotional states of users. In particular, there is a need to enrich the user experience by generating digital assets that respond to users' instantaneous emotions and maximizing their characteristics. Furthermore, there is a lack of effective methods for managing these generated digital assets and efficiently providing reward information that enhances their value.

[0557] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0558] In this invention, the server includes means for analyzing emotional data acquired from a user terminal and recognizing the user's emotional state; means for automatically generating digital assets based on the emotional state using generative artificial intelligence; and means for recording the generated digital assets on a distributed database and assigning them a traceable unique identifier. This makes it possible to generate customized digital assets tailored to each user's individual emotions and to efficiently manage them and provide them with reward information.

[0559] A "user terminal" is a device used by a user to acquire emotional data, and is equipped with a camera, sensors, and other features, as well as communication capabilities.

[0560] "Emotional data" refers to information related to a user's emotional state, obtained through their facial expressions, voice, and other means.

[0561] "Emotional state" is an indicator that shows the characteristics of a user's temporary emotions, expressing emotional states such as enjoyment and excitement using numerical values ​​or categories.

[0562] "Generative artificial intelligence" is an artificial intelligence technology that generates digital assets in response to the user's emotional state.

[0563] "Digital assets" refer to assets represented in digital format, including generated NFTs and digital content.

[0564] A "distributed database" is a decentralized database system for recording and managing generated digital assets, assigning them unique, traceable identifiers.

[0565] A "unique identifier" is a special identification number or code assigned to uniquely identify a generated digital asset.

[0566] "Benefit information" refers to information that is generated based on user sentiment data and indicates additional value or benefits provided to the user.

[0567] This invention is a system that generates digital assets based on a user's emotional state and records them in a distributed database. The system consists of a user terminal, a server, a generative artificial intelligence, and an emotion engine.

[0568] The device is activated when the user accesses the campaign website. The user's device is equipped with a camera and sensors, and this hardware is used to acquire emotional data from the user's facial expressions and voice. Specific software examples include systems using facial recognition technology and voice analysis tools.

[0569] The acquired emotional data is analyzed by an emotion engine. The emotion engine determines the user's emotional state and expresses the result as a numerical value or category. This analyzed data is then sent to the server.

[0570] Based on the received emotion data and user participation information, the server instructs the generating artificial intelligence to create digital assets through prompt messages. An example of a prompt message might be, "If the user's emotional state is recognized as happy, generate entertainment-related digital content to amplify that emotion."

[0571] Generative artificial intelligence, for example, uses existing AI models and API services to generate unique digital assets (such as NFTs) that match a user's emotions. This generation process employs machine learning algorithms and natural language processing techniques.

[0572] The generated digital assets are recorded in a distributed database via a server and assigned a unique identifier. Customized reward information based on the user's sentiment data is also created and associated with the digital assets.

[0573] Users receive generated digital assets and reward information through notifications sent by the server. Users can view these using their digital wallets and use the reward information to enjoy personalized digital experiences based on their emotions.

[0574] In this way, this system utilizes users' emotional data to generate and manage digital assets tailored to individual emotions, thereby enabling the provision of new value.

[0575] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0576] Step 1:

[0577] The user accesses the campaign website using their device. The camera and sensors on the device are activated, and emotional data is acquired from the user's facial expressions and voice. Camera video and audio data are used as input, and facial feature point data and voice tone information are acquired as output. This allows the user's emotions to be recorded as digital data in real time.

[0578] Step 2:

[0579] The device sends the acquired emotional data to the emotion engine. The emotion engine analyzes this data and quantifies or categorizes the user's emotional state. It takes facial feature point data and voice tone information as input and outputs emotional scores such as "enjoyment" and "excitement." This analysis is performed using machine learning algorithms.

[0580] Step 3:

[0581] The terminal sends the analysis results to the server. The server instructs the generating artificial intelligence to generate digital assets based on the received sentiment analysis results and user participation information. A prompt sentence is generated, the sentiment score is used as input, and an instruction sentence to be used by the generating AI is created as output.

[0582] Step 4:

[0583] The server sends a prompt to the generative AI. The generative AI model understands the prompt and generates digital assets that match the specified emotional state. It receives a prompt as input and generates digital content such as artistic elements or music as output. Natural language processing technology and generative models are at work during this process.

[0584] Step 5:

[0585] The server assigns a unique identifier to the generated digital assets and records them in a decentralized database. It receives generated digital assets as input and outputs identifiable digital asset registration information. Blockchain technology is at work in this process.

[0586] Step 6:

[0587] The server customizes reward information for users based on emotional data and associates it with digital assets. Using emotional scores and generated digital assets as input, reward information is generated as output. The reward information is tailored to the user's emotions.

[0588] Step 7:

[0589] The server notifies the user of all information. Upon receiving the notification, the user checks the generated digital assets and reward information in their digital wallet. The system receives notification data from the server as input and outputs the data displayed in the digital wallet. This allows the user to enjoy a special experience tailored to their emotions.

[0590] (Application Example 2)

[0591] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0592] In modern digital marketing, technologies that personalize ads and digital assets based on users' emotional states have the potential to significantly improve the user experience and contribute to increased business performance. Traditional methods have struggled to provide content that reflects individual users' emotional states in real time, making it difficult to generate and deliver ads optimized for individual experiences.

[0593] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0594] In this invention, the server includes means for analyzing the user's emotional data using an emotion analysis engine, means for optimizing digital assets and advertisements based on the analysis results using generative artificial intelligence, and means for recording these in a distributed database and linking them to the user's specific address. This makes it possible to provide optimized advertisements and digital assets according to the user's emotional state.

[0595] "Generative artificial intelligence" is an artificial intelligence technology that automatically generates digital assets and advertisements based on the user's emotions and themes.

[0596] "Digital assets" are items recorded in digital format, primarily NFTs and reward information stored in distributed databases.

[0597] A "distributed database" is a system that uses blockchain technology to manage data in a decentralized manner, ensuring data transparency and security.

[0598] A "unique identifier" is a unique number or code assigned to a generated digital asset to distinguish it from others.

[0599] "Benefit information" refers to digital content that shows the special offers and benefits provided to users, and is intended to improve the user experience.

[0600] "Emotional data" refers to information that represents a user's emotional state, and is primarily acquired through cameras and sensors.

[0601] "Advertising" is promotional content created based on users' interests and emotions, with the aim of increasing user engagement.

[0602] This invention is a system that generates and delivers personalized digital assets and advertisements based on the user's emotional state. This system mainly consists of the following components:

[0603] First, the user's device is equipped with a camera and a sensor for emotion analysis, which acquires emotional data from the user's facial expressions and movements. This emotional data is initially processed on the device and then sent to a cloud server. The cloud server receives this data and uses an emotion analysis engine to analyze the user's emotional state in detail. Examples of emotion analysis engines used in this process include libraries such as TensorFlow.

[0604] Based on the analyzed sentiment data, the server utilizes a generative AI model to generate digital assets and advertisements tailored to the user. Natural language processing models such as OpenAI's GPT series can be applied to the generative AI model. The generated digital assets are recorded in a decentralized database. This database utilizes blockchain technology to ensure data traceability and security.

[0605] The generated digital assets and advertisements are assigned unique identifiers, allowing users to view them in their digital wallets. In addition, reward information is generated and communicated to users based on their emotions. This process personalizes the user experience and enhances satisfaction.

[0606] As a concrete example, consider a scenario where a user participates in an online advertising campaign using their smartphone. After capturing emotional data via the camera, this data is processed on a server to generate original NFTs and advertisements with rewards tailored to the user's entertainment interests. An example of a prompt in this case would be: "Based on data indicating the user's emotions are positive, generate an NFT for the entertainment industry and suggest advertisements that include reward information."

[0607] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0608] Step 1:

[0609] The device activates its camera and sensors to acquire user emotion data. As input, it collects user facial expressions and movement data, and based on this, generates basic data for emotion analysis. This data is initially processed on the device. As output, it provides emotion data that is sent to a cloud server.

[0610] Step 2:

[0611] The server receives emotion data sent from the terminal. It takes the emotion data as input and analyzes it using an emotion analysis engine (e.g., TensorFlow). Specifically, the analysis engine extracts facial features and determines the emotional state, such as positive or negative. As output, emotion state data based on the analysis results is generated.

[0612] Step 3:

[0613] The server sends prompts to a generative AI model using emotional state data. These prompts contain instructions for optimizing digital assets and advertisements based on the user's emotions. Analyzed emotional state data is used as input, and these instructions are sent to the AI ​​model. The output is the generated digital assets and advertising content. Specifically, the generative AI model generates optimal asset designs based on the emotional data.

[0614] Step 4:

[0615] The server records generated digital assets and advertisements in a decentralized database. The input consists of generated digital asset data and advertisement data, which are then assigned unique identifiers to make them traceable. The output is the recorded and identified digital assets. Specifically, blockchain technology is used to securely store the data.

[0616] Step 5:

[0617] The server notifies users of generated digital assets and reward information related to advertisements. Information stored in a decentralized database is used as input to generate notification messages for the user. The output provides asset information and rewards that can be viewed in the user's digital wallet. Specifically, the notification is sent to the user's device and displayed visually.

[0618] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0619] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0620] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0621] [Fourth Embodiment]

[0622] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0623] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0624] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0625] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0626] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0627] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0628] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0629] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0630] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0631] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0632] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0633] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0634] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0635] This invention aims to provide new value in the digital marketplace by automatically generating digital assets, particularly NFTs (Non-Fungible Tokens), using generative artificial intelligence (AI), and managing them in a decentralized database, thereby enabling the provision of benefits to users.

[0636] The system consists of a user terminal, a server, and a generating artificial intelligence unit. First, the user accesses the campaign site using their terminal and applies to participate in the campaign. Here, the user enters the required information and submits the application.

[0637] Next, when the server receives information sent from the terminal, it first verifies and registers that information. This information includes user identification information and campaign details. After that, the server instructs the generating artificial intelligence to create the NFT. The AI ​​creates its own design and content based on the instructed theme.

[0638] The generated digital assets, known as NFTs, are registered in a distributed database by a server, where they are assigned a unique identifier. At the same time, the NFTs are also linked to associated reward information, such as coupons usable in stores or special user experiences.

[0639] The server then notifies the user of the details and benefits of this NFT. The user can manage the NFT in their digital wallet and redeem the benefits. This NFT may also be traded on the secondary market. The server will continuously provide the user with information on NFT trading and the status of available unused benefits.

[0640] As a concrete example, let's assume a company runs a fashion campaign. When a user signs up to participate, a generative AI generates a unique NFT design on a fashion-related theme. This NFT is sent to the user, who is given a discount on new products as a reward. The user can then either keep the NFT or sell it to another user who is interested in the discount.

[0641] Thus, the present invention allows companies to enhance the effectiveness of their campaigns while users can gain engagement and value-added experiences.

[0642] The following describes the processing flow.

[0643] Step 1:

[0644] Users access the campaign website and submit an application to participate. They enter the required personal and contact information and submit the application form.

[0645] Step 2:

[0646] The device sends user input data to the server. This data contains information necessary for providing benefits.

[0647] Step 3:

[0648] The server checks the user data received from the terminal. It performs checks to ensure the information is in the correct format and that it is not already registered, and then registers it in the database.

[0649] Step 4:

[0650] The server requests the AI ​​to generate NFTs. Instructions based on user information and the campaign theme are provided to the AI.

[0651] Step 5:

[0652] The generating AI, following instructions received from the server, creates NFTs as unique digital assets. This process involves creating images, music, or other digital content that aligns with the theme.

[0653] Step 6:

[0654] The server registers the generated NFTs in a distributed database. During this process, a unique identifier is assigned to the NFT, and it is recorded on the blockchain.

[0655] Step 7:

[0656] The server sets up reward information related to the NFT and notifies the user of this information to their email address or other contact information.

[0657] Step 8:

[0658] The user receives a notification from the server and verifies the NFT in their digital wallet. They then use the offer information to receive discounts at stores and services.

[0659] Step 9:

[0660] Users trade NFTs on secondary market platforms as needed. NFTs with unused perks can potentially have high market value.

[0661] Step 10:

[0662] The server monitors transaction status and maintains overall system engagement by providing renewed reward information when a new owner appears.

[0663] (Example 1)

[0664] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0665] The challenges in generating and managing digital assets, particularly non-fungible tokens requiring unique identification, include streamlining their creation and management. Furthermore, it is difficult to quickly and reliably notify users of rewards associated with the generated assets. Additionally, there is a need for a system that allows users to easily conduct transactions using the rewards they have earned.

[0666] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0667] In this invention, the server includes means for receiving and confirming information entered from a user terminal, means for automatically generating digital assets using generative artificial intelligence, and means for recording the generated digital assets on a distributed data storage medium and assigning them a traceable unique identifier. This enables efficient generation and management of digital assets, and reliable and rapid notification of reward information. Furthermore, it allows users to easily execute transactions using assets and rewards.

[0668] A "user terminal" refers to an electronic device used by a user to input and transmit information, and includes computers, smartphones, and other similar devices.

[0669] A "server" refers to a computer system that receives and processes information sent by a user.

[0670] "Generative artificial intelligence" refers to artificial intelligence technology that has the ability to automatically generate digital assets based on specified themes and conditions.

[0671] "Digital assets" refer to assets that exist as electronic data and possess intrinsic value, including non-fungible tokens.

[0672] A "distributed data storage medium" refers to a recording method that stores data in a distributed manner across multiple network nodes, enabling information tracking and management without centralized management.

[0673] A "unique identifier" refers to an identification code assigned to uniquely identify a particular digital asset.

[0674] "Benefit information" refers to information about privileges and services granted to users associated with digital assets.

[0675] A "wallet address" refers to an identification number or record location used by a user to store and manage their digital assets.

[0676] "Transaction" refers to the act of a user using digital assets or associated reward information to exchange them for other forms of value.

[0677] This invention is implemented using a system comprising a user terminal, a server, and a generating artificial intelligence unit.

[0678] Users can access the campaign website using their own devices and register to participate. Users enter the necessary information on their devices and send it to the server.

[0679] The server receives and verifies user information sent from the terminal and registers it in the database. The server instructs the generating artificial intelligence unit to generate digital assets using prompt statements. In this process, the server provides the prompt statements necessary for the generating AI model to work based on a theme. An example of a prompt statement is, "Generate an NFT themed on the latest fashion trends. It will offer a discount on new products."

[0680] A generative AI model generates digital assets based on instructed prompts. The generated digital assets, or non-fungible tokens (NFTs), are recorded on a decentralized data storage medium along with a unique identifier.

[0681] The server notifies the user of information about the generated NFT, along with any associated rewards. Based on the information provided, the user can manage the NFT in their wallet and trade or use the rewards as needed.

[0682] For example, when a fashion company promotes a new product, a generative AI generates a unique NFT with the theme of "summer fashion," which is then provided to users via a server. As a reward, users receive a discount on the new product. Users can then use this reward to purchase the new product.

[0683] Through the above, it is possible for companies to effectively conduct campaigns and build a system in which users can enjoy benefits while owning their own digital assets.

[0684] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0685] Step 1:

[0686] The user accesses the campaign website using their device and enters information to register for participation. This information includes the user's name, contact details, and campaign-specific information. The device then sends this information to the server.

[0687] Step 2:

[0688] The server verifies user information received from the terminal and checks data integrity. Specifically, it verifies whether the received data format is correct and whether all required fields are filled in. After that, the server registers the verified user information in the database. During registration, a user ID and campaign ID are issued to facilitate data management.

[0689] Step 3:

[0690] The server instructs the generation AI model to create digital assets using prompts. These prompts are based on the campaign theme and include specific instructions, such as "Create an NFT with a spring flower theme." The generation AI follows the input prompts and processes the data to generate designs and content that align with the theme.

[0691] Step 4:

[0692] The server receives the digital assets (NFTs) generated by the generation AI model and registers the data in a distributed data storage medium. At this time, the server assigns a unique identifier to the NFT. It also links related reward information to the NFT. This reward information may include, for example, coupon codes or invitations to exclusive events.

[0693] Step 5:

[0694] The server notifies the user of the details and rewards associated with the generated NFT. This notification is typically done via email or app push notifications. Users can then save the received information to their digital wallet.

[0695] Step 6:

[0696] Users manage NFTs in their own wallets and use the benefits when needed. Users can check the status of NFTs and the expiration dates of benefits within their wallets. They can also trade NFTs with other users through their wallets.

[0697] (Application Example 1)

[0698] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0699] The challenge lies in providing new tourism experiences through the creation and distribution of digital assets, particularly NFTs, while also stimulating local economies and improving user engagement.

[0700] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0701] In this invention, the server includes means for acquiring location information using a mobile terminal, means for automatically generating digital assets on a location-based theme using generative artificial intelligence, and means for recording the generated digital assets on a distributed database and assigning them a trackable unique identifier. This enables users to acquire unique digital assets in specific tourist destinations and take advantage of local-specific benefits.

[0702] A "mobile device" is a device that a user can carry with them while on the go, and generally refers to smartphones and tablet devices.

[0703] "Location information" refers to data about a specific place or point, and is information obtained using GPS or other location-determining technologies.

[0704] "Generative artificial intelligence" is an artificial intelligence technology that has the ability to automatically generate new information and content based on input data and themes.

[0705] "Digital assets" refer to resources and objects that are generated and managed electronically, and especially those with fixed uniqueness and ownership, such as NFTs.

[0706] A "distributed database" is a database system that manages certain types of information by distributing it across multiple nodes on a network, without going through a central server.

[0707] A "unique identifier" is a unique number or code used to distinguish a particular digital asset or piece of information from others.

[0708] "Benefit information" refers to information about additional value or services offered to users, which may include discount coupons or special experiences.

[0709] This invention is implemented in a system using a mobile terminal such as a smartphone, a server, and a generative artificial intelligence unit. Users access specific tourist spots or checkpoints using their mobile terminal. Location information is acquired via the terminal's GPS function and transmitted to the server.

[0710] Based on the received location information, the server generates a prompt message for the generating artificial intelligence and sends it to the AI ​​model. This prompt message includes a theme related to the specific location. For example, "Generate NFT art themed around Tokyo Tower and its night view. The additional element to include is local culture." The AI ​​model generates a digital asset based on the theme and returns the result to the server.

[0711] The server assigns a unique identifier to the generated digital assets (NFTs) and registers them in a distributed database. Furthermore, it links the NFTs with special offers such as discounts at specific stores or exclusive experiences.

[0712] Users can receive NFTs and reward information on their devices and manage them within a digital wallet. This wallet uses an identifier to record ownership of the NFT. Users can also transfer these NFTs to third parties.

[0713] As a concrete example, when a user visits a tourist destination, they can acquire unique digital art related to the local culture and history, and receive benefits that can be used at local shops. In this way, not only is the tourist experience enhanced through digital assets, but it is also possible to contribute to the revitalization of the local economy.

[0714] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0715] Step 1:

[0716] The user uses their mobile device to reach the tourist spot. The device obtains location information using GPS and sends that information to the server. In this process, the input is location information, and this is the location information that the server receives.

[0717] Step 2:

[0718] The server analyzes the received location information and generates a relevant theme. Based on this theme, it generates a prompt and sends it to the generation AI unit. The input is location information, and the output is the generated prompt. For example, a prompt such as "Please generate NFT art themed around Tokyo Tower and its night view. The element to add is local culture." might be formed.

[0719] Step 3:

[0720] The generating artificial intelligence unit generates an NFT design based on a prompt. The AI ​​model is applied, receiving the prompt as input and generating a digital asset as output. The generated NFT design is returned.

[0721] Step 4:

[0722] The server receives the generated digital assets, assigns them unique identifiers, and records them in a distributed database. The input is the generated digital assets, and the output is the database registration status of the NFTs, each assigned an identifier. This makes the NFTs traceable.

[0723] Step 5:

[0724] The server links the relevant reward information and sends the completed NFT to the user's device. The input is an NFT with an identification number and reward information, and the output is the NFT and its reward information displayed on the user's device. The user can then use this to claim their reward.

[0725] Step 6:

[0726] Users manage the received NFTs in a digital wallet and either redeem the rewards or transfer the NFTs to a third party. The input is the NFT information, and the output is the status of reward redemption or NFT transfer. This allows users to leverage NFTs to enjoy unique travel experiences.

[0727] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0728] This invention relates to a system that combines generative artificial intelligence (AI) and an emotion engine to generate and provide digital assets (NFTs) that correspond to the user's emotional state. This system consists of a user terminal, a server, a generative artificial intelligence unit, and an emotion engine.

[0729] When a user accesses a campaign website via their device and registers to participate, emotional data is acquired through the device's built-in camera and sensors. The emotion engine analyzes this data to recognize the user's emotional state. This analysis result is sent to a server and influences subsequent digital asset generation.

[0730] The server verifies user participation information and emotional data, and instructs the generating AI to create digital assets. The generating AI uses data obtained from the emotional engine to generate a unique NFT that matches the user's emotional state. As a result, the generated digital content is optimized for the user's emotions.

[0731] The generated NFTs are recorded in a distributed database via a server and assigned a unique identifier. Customized reward information is also generated based on emotional data and associated with the NFT. For example, if a user expresses a positive emotion, entertainment-related rewards are offered to enhance that positive emotion.

[0732] The server notifies the user of this information, and the user can verify the NFT in their digital wallet. The rewards are designed to match the user's lifestyle and current mood, increasing their satisfaction with the experience. Furthermore, NFTs can be traded with other users, and their value may increase based on emotional data.

[0733] As a concrete example, when a brand promotes a new product, it generates product-related NFTs by utilizing the emotional state of participating users. Each NFT is accompanied by user-specific benefits, increasing the likelihood of purchase. In this way, the present invention is a system that improves the user experience and enables diverse uses of digital assets.

[0734] The following describes the processing flow.

[0735] Step 1:

[0736] Users access the campaign website and apply to participate. Users enter and submit required personal information. During this process, emotional data such as the user's facial expressions and voice tone are collected through the device's sensors and camera.

[0737] Step 2:

[0738] The device sends collected emotional data to the emotion engine. The emotion engine analyzes the collected data and identifies the user's emotional state.

[0739] Step 3:

[0740] The emotion engine analyzes the emotional state data and sends it to the server. The server receives this data and stores it in a database along with campaign participation information.

[0741] Step 4:

[0742] When the server requests the AI ​​to generate digital assets, it includes acquired emotional data and user information. This allows the AI ​​to generate NFTs based on designs and themes that are appropriate for the user's emotional state.

[0743] Step 5:

[0744] The generative AI considers user emotional data to generate NFTs as visually or aurally optimized digital assets. This generation process incorporates creative content adapted to the theme.

[0745] Step 6:

[0746] The server receives the generated NFT and records it in a distributed database. Here, a unique identifier is assigned to the NFT, making it traceable.

[0747] Step 7:

[0748] The server determines the NFT-related benefits based on the user's emotional state and links this information to the NFT. For example, users experiencing stress might be offered relaxation-related benefits.

[0749] Step 8:

[0750] The server sends a notification to the user containing NFT details and reward information. The user can then verify this and add the NFT to their digital wallet.

[0751] Step 9:

[0752] Users can take advantage of the perks and trade NFTs with other users as needed. In this process, emotionally driven perks can be attractive and potentially increase the market value of NFTs.

[0753] Step 10:

[0754] The server tracks NFT transaction history and encourages continued engagement by sending emotionally-responsive updates to users who have recently earned rewards.

[0755] (Example 2)

[0756] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0757] In modern digital content creation, there are limited means to provide unique digital assets that reflect the individual emotional states of users. In particular, there is a need to enrich the user experience by generating digital assets that respond to users' instantaneous emotions and maximizing their characteristics. Furthermore, there is a lack of effective methods for managing these generated digital assets and efficiently providing reward information that enhances their value.

[0758] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0759] In this invention, the server includes means for analyzing emotional data acquired from a user terminal and recognizing the user's emotional state; means for automatically generating digital assets based on the emotional state using generative artificial intelligence; and means for recording the generated digital assets on a distributed database and assigning them a traceable unique identifier. This makes it possible to generate customized digital assets tailored to each user's individual emotions and to efficiently manage them and provide them with reward information.

[0760] A "user terminal" is a device used by a user to acquire emotional data, and is equipped with a camera, sensors, and other features, as well as communication capabilities.

[0761] "Emotional data" refers to information related to a user's emotional state, obtained through their facial expressions, voice, and other means.

[0762] "Emotional state" is an indicator that shows the characteristics of a user's temporary emotions, expressing emotional states such as enjoyment and excitement using numerical values ​​or categories.

[0763] "Generative artificial intelligence" is an artificial intelligence technology that generates digital assets in response to the user's emotional state.

[0764] "Digital assets" refer to assets represented in digital format, including generated NFTs and digital content.

[0765] A "distributed database" is a decentralized database system for recording and managing generated digital assets, assigning them unique, traceable identifiers.

[0766] A "unique identifier" is a special identification number or code assigned to uniquely identify a generated digital asset.

[0767] "Benefit information" refers to information that is generated based on user sentiment data and indicates additional value or benefits provided to the user.

[0768] This invention is a system that generates digital assets based on a user's emotional state and records them in a distributed database. The system consists of a user terminal, a server, a generative artificial intelligence, and an emotion engine.

[0769] The device is activated when the user accesses the campaign website. The user's device is equipped with a camera and sensors, and this hardware is used to acquire emotional data from the user's facial expressions and voice. Specific software examples include systems using facial recognition technology and voice analysis tools.

[0770] The acquired emotional data is analyzed by an emotion engine. The emotion engine determines the user's emotional state and expresses the result as a numerical value or category. This analyzed data is then sent to the server.

[0771] Based on the received emotion data and user participation information, the server instructs the generating artificial intelligence to create digital assets through prompt messages. An example of a prompt message might be, "If the user's emotional state is recognized as happy, generate entertainment-related digital content to amplify that emotion."

[0772] Generative artificial intelligence, for example, uses existing AI models and API services to generate unique digital assets (such as NFTs) that match a user's emotions. This generation process employs machine learning algorithms and natural language processing techniques.

[0773] The generated digital assets are recorded in a distributed database via a server and assigned a unique identifier. Customized reward information based on the user's sentiment data is also created and associated with the digital assets.

[0774] Users receive generated digital assets and reward information through notifications sent by the server. Users can view these using their digital wallets and use the reward information to enjoy personalized digital experiences based on their emotions.

[0775] In this way, this system utilizes users' emotional data to generate and manage digital assets tailored to individual emotions, thereby enabling the provision of new value.

[0776] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0777] Step 1:

[0778] The user accesses the campaign website using their device. The camera and sensors on the device are activated, and emotional data is acquired from the user's facial expressions and voice. Camera video and audio data are used as input, and facial feature point data and voice tone information are acquired as output. This allows the user's emotions to be recorded as digital data in real time.

[0779] Step 2:

[0780] The device sends the acquired emotional data to the emotion engine. The emotion engine analyzes this data and quantifies or categorizes the user's emotional state. It takes facial feature point data and voice tone information as input and outputs emotional scores such as "enjoyment" and "excitement." This analysis is performed using machine learning algorithms.

[0781] Step 3:

[0782] The terminal sends the analysis results to the server. The server instructs the generating artificial intelligence to generate digital assets based on the received sentiment analysis results and user participation information. A prompt sentence is generated, the sentiment score is used as input, and an instruction sentence to be used by the generating AI is created as output.

[0783] Step 4:

[0784] The server sends a prompt to the generative AI. The generative AI model understands the prompt and generates digital assets that match the specified emotional state. It receives a prompt as input and generates digital content such as artistic elements or music as output. Natural language processing technology and generative models are at work during this process.

[0785] Step 5:

[0786] The server assigns a unique identifier to the generated digital assets and records them in a decentralized database. It receives generated digital assets as input and outputs identifiable digital asset registration information. Blockchain technology is at work in this process.

[0787] Step 6:

[0788] The server customizes reward information for users based on emotional data and associates it with digital assets. Using emotional scores and generated digital assets as input, reward information is generated as output. The reward information is tailored to the user's emotions.

[0789] Step 7:

[0790] The server notifies the user of all information. Upon receiving the notification, the user checks the generated digital assets and reward information in their digital wallet. The system receives notification data from the server as input and outputs the data displayed in the digital wallet. This allows the user to enjoy a special experience tailored to their emotions.

[0791] (Application Example 2)

[0792] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0793] In modern digital marketing, technologies that personalize ads and digital assets based on users' emotional states have the potential to significantly improve the user experience and contribute to increased business performance. Traditional methods have struggled to provide content that reflects individual users' emotional states in real time, making it difficult to generate and deliver ads optimized for individual experiences.

[0794] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0795] In this invention, the server includes means for analyzing the user's emotional data using an emotion analysis engine, means for optimizing digital assets and advertisements based on the analysis results using generative artificial intelligence, and means for recording these in a distributed database and linking them to the user's specific address. This makes it possible to provide optimized advertisements and digital assets according to the user's emotional state.

[0796] "Generative artificial intelligence" is an artificial intelligence technology that automatically generates digital assets and advertisements based on the user's emotions and themes.

[0797] "Digital assets" are items recorded in digital format, primarily NFTs and reward information stored in distributed databases.

[0798] A "distributed database" is a system that uses blockchain technology to manage data in a decentralized manner, ensuring data transparency and security.

[0799] A "unique identifier" is a unique number or code assigned to a generated digital asset to distinguish it from others.

[0800] "Benefit information" refers to digital content that shows the special offers and benefits provided to users, and is intended to improve the user experience.

[0801] "Emotional data" refers to information that represents a user's emotional state, and is primarily acquired through cameras and sensors.

[0802] "Advertising" is promotional content created based on users' interests and emotions, with the aim of increasing user engagement.

[0803] This invention is a system that generates and delivers personalized digital assets and advertisements based on the user's emotional state. This system mainly consists of the following components:

[0804] First, the user's device is equipped with a camera and a sensor for emotion analysis, which acquires emotional data from the user's facial expressions and movements. This emotional data is initially processed on the device and then sent to a cloud server. The cloud server receives this data and uses an emotion analysis engine to analyze the user's emotional state in detail. Examples of emotion analysis engines used in this process include libraries such as TensorFlow.

[0805] Based on the analyzed sentiment data, the server utilizes a generative AI model to generate digital assets and advertisements tailored to the user. Natural language processing models such as OpenAI's GPT series can be applied to the generative AI model. The generated digital assets are recorded in a decentralized database. This database utilizes blockchain technology to ensure data traceability and security.

[0806] The generated digital assets and advertisements are assigned unique identifiers, allowing users to view them in their digital wallets. In addition, reward information is generated and communicated to users based on their emotions. This process personalizes the user experience and enhances satisfaction.

[0807] As a concrete example, consider a scenario where a user participates in an online advertising campaign using their smartphone. After capturing emotional data via the camera, this data is processed on a server to generate original NFTs and advertisements with rewards tailored to the user's entertainment interests. An example of a prompt in this case would be: "Based on data indicating the user's emotions are positive, generate an NFT for the entertainment industry and suggest advertisements that include reward information."

[0808] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0809] Step 1:

[0810] The device activates its camera and sensors to acquire user emotion data. As input, it collects user facial expressions and movement data, and based on this, generates basic data for emotion analysis. This data is initially processed on the device. As output, it provides emotion data that is sent to a cloud server.

[0811] Step 2:

[0812] The server receives emotion data sent from the terminal. It takes the emotion data as input and analyzes it using an emotion analysis engine (e.g., TensorFlow). Specifically, the analysis engine extracts facial features and determines the emotional state, such as positive or negative. As output, emotion state data based on the analysis results is generated.

[0813] Step 3:

[0814] The server sends prompts to a generative AI model using emotional state data. These prompts contain instructions for optimizing digital assets and advertisements based on the user's emotions. Analyzed emotional state data is used as input, and these instructions are sent to the AI ​​model. The output is the generated digital assets and advertising content. Specifically, the generative AI model generates optimal asset designs based on the emotional data.

[0815] Step 4:

[0816] The server records generated digital assets and advertisements in a decentralized database. The input consists of generated digital asset data and advertisement data, which are then assigned unique identifiers to make them traceable. The output is the recorded and identified digital assets. Specifically, blockchain technology is used to securely store the data.

[0817] Step 5:

[0818] The server notifies users of generated digital assets and reward information related to advertisements. Information stored in a decentralized database is used as input to generate notification messages for the user. The output provides asset information and rewards that can be viewed in the user's digital wallet. Specifically, the notification is sent to the user's device and displayed visually.

[0819] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0820] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0821] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0822] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0823] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0824] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0825] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0826] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0827] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0828] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0829] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0830] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0831] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0832] 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.

[0833] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0834] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0835] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0836] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0837] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0838] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0839] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0840] The following is further disclosed regarding the embodiments described above.

[0841] (Claim 1)

[0842] A means of automatically generating digital assets using generative artificial intelligence,

[0843] Means for recording the generated digital assets on a distributed database and assigning them a traceable unique identifier,

[0844] A means for notifying the user of benefit information related to the aforementioned digital assets,

[0845] A means by which the aforementioned user can execute a transaction by utilizing the benefits,

[0846] A system that includes this.

[0847] (Claim 2)

[0848] The system according to claim 1, which receives design parameters based on a specific theme using a generating artificial intelligence and generates the digital asset.

[0849] (Claim 3)

[0850] The system according to claim 1, wherein the decentralized database associates ownership of the digital assets with a specific wallet address of a user.

[0851] "Example 1"

[0852] (Claim 1)

[0853] A means of receiving and verifying information entered from the user terminal,

[0854] A means of automatically generating digital assets using generative artificial intelligence,

[0855] Means for recording the generated digital assets on a distributed data storage medium and assigning them a traceable unique identifier,

[0856] A means for notifying the user of benefit information related to the aforementioned digital assets,

[0857] A means by which the aforementioned user can execute a transaction by utilizing the benefits,

[0858] A system that includes this.

[0859] (Claim 2)

[0860] The system according to claim 1, which receives design parameters based on a specific theme using a generating artificial intelligence and generates the digital asset.

[0861] (Claim 3)

[0862] The system according to claim 1, wherein the distributed data storage medium associates ownership of the digital assets with a specific storage address of the user.

[0863] "Application Example 1"

[0864] (Claim 1)

[0865] A means of acquiring location information using a mobile terminal,

[0866] A means of automatically generating digital assets with location-based themes using generative artificial intelligence,

[0867] Means for recording the generated digital assets on a distributed database and assigning them a traceable unique identifier,

[0868] A means for notifying the user of multiple benefit information related to the aforementioned digital asset,

[0869] Means that enable the user to utilize digital assets to access or transfer benefits to a third party,

[0870] A system that includes this.

[0871] (Claim 2)

[0872] The system according to claim 1, which receives a theme based on specific location information as a prompt message using a generating artificial intelligence, and generates the digital asset.

[0873] (Claim 3)

[0874] The system according to claim 1, wherein the distributed database is linked to the management rights of the digital assets based on the user's identification information.

[0875] "Example 2 of combining an emotion engine"

[0876] (Claim 1)

[0877] A means of analyzing emotional data acquired from a user's terminal to recognize the user's emotional state,

[0878] A means for automatically generating digital assets based on the aforementioned emotional state using generative artificial intelligence,

[0879] Means for recording the generated digital assets on a distributed database and assigning them a traceable unique identifier,

[0880] A means for customizing reward information based on the aforementioned emotional data and notifying the user,

[0881] A means by which the aforementioned user can execute a transaction by utilizing the benefits,

[0882] A system that includes this.

[0883] (Claim 2)

[0884] The system according to claim 1, which receives design parameters based on a specific emotional state by generating artificial intelligence and generates the digital asset.

[0885] (Claim 3)

[0886] The system according to claim 1, wherein the distributed database associates ownership of the digital assets with specific user identification information.

[0887] "Application example 2 when combining with an emotional engine"

[0888] (Claim 1)

[0889] A means of automatically generating digital assets using generative artificial intelligence,

[0890] Means for recording the generated digital assets on a distributed database and assigning them a traceable unique identifier,

[0891] A means for notifying the user of benefit information related to the aforementioned digital assets,

[0892] A means by which the aforementioned user can execute a transaction by utilizing the benefits,

[0893] A means for analyzing user sentiment data and optimizing digital assets or advertisements based on the analysis results,

[0894] A means of generating specific design parameters in response to user emotions and using these to generate advertisements and digital assets,

[0895] A system that includes this.

[0896] (Claim 2)

[0897] The system according to claim 1, which receives design parameters based on a specific theme using generating artificial intelligence and generates the digital assets and advertisements.

[0898] (Claim 3)

[0899] The system according to claim 1, wherein the distributed database associates ownership of the digital assets with a specific address of a user. [Explanation of symbols]

[0900] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of automatically generating digital assets using generative artificial intelligence, Means for recording the generated digital assets on a distributed database and assigning them a traceable unique identifier, A means for notifying the user of benefit information related to the aforementioned digital assets, A means by which the aforementioned user can execute a transaction by utilizing the benefits, A system that includes this.

2. The system according to claim 1, which receives design parameters based on a specific theme using a generating artificial intelligence and generates the digital asset.

3. The system according to claim 1, wherein the decentralized database associates ownership of the digital assets with a specific wallet address of a user.

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