system

Abstract

We provide the system. [Solution] A means for automatically generating the appearance, voice, and personality of a virtual character using artificial intelligence based on user input, A means for users to develop and manage virtual characters through interaction with the generated characters, A means for deploying the aforementioned virtual character across multiple virtual spaces and enabling real-time interaction with other users, A means to enable the exchange and trading of the aforementioned virtual character as a non-fungible token on the blockchain, A means of providing personalized visual and auditory experiences by having users-generated virtual characters participate in dynamically generated stories and content, A system that includes this.

Description

Technical Field

[0001] The technology of this 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, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern times, with the increase in the number of single people and the diversification of the use of time for personal hobbies, there is a demand for providing new entertainment through virtual characters. However, in the conventional methods, the time and labor burden involved in the generation, cultivation, and communication of virtual characters are large, making it difficult for users to easily produce them. In addition, the places where virtual characters and users can communicate with other users or fans in real time are limited, and there is also a lack of means to specifically find the economic value of the characters. Thus, it is necessary to solve the technical problems in the generation and utilization of virtual characters.

Means for Solving the Problems

[0005] This invention provides a system that utilizes artificial intelligence to automatically generate the appearance, voice, and personality of a virtual character based on user input. This allows users to easily create personalized characters. Furthermore, it includes means for raising and managing the generated character through interaction, enabling users to bring out their desired growth. In addition, this system expands the range of character utilization by deploying virtual characters in multiple virtual spaces and facilitating real-time interaction with other users. Moreover, by tokenizing virtual characters as non-fungible tokens and enabling exchange and trading on the blockchain, it provides a means to assign economic value to characters and build new business models.

[0006] "User input" refers to the information and instructions provided by the user during the creation and customization of a virtual character.

[0007] "Artificial intelligence" is a technology in which machines imitate human intellectual activity, learning and problem-solving, and is used for creating and developing virtual characters.

[0008] A "virtual character" refers to a digital, simulated entity created in a digital environment that users can nurture and manage.

[0009] "Appearance" refers to elements related to the look of a virtual character, such as hairstyle and clothing, which can be customized by the user according to their preferences and settings.

[0010] "Voice" refers to the vocal element of a virtual character, and is a vocal expression characterized by the user's choices.

[0011] "Personality" refers to the characteristics of the behaviors and reactions exhibited by a virtual character, and can be changed based on user instructions and choices.

[0012] "Training" refers to the process by which a virtual character grows and develops its abilities and characteristics, and it is based on user interaction.

[0013] "Management" refers to the activity of overseeing the growth process and activities of a virtual character, and making necessary adjustments and operations to promote the growth that the user aims for.

[0014] A "virtual space" is a digital environment built on the internet, where users and virtual characters interact and engage in activities.

[0015] "Real-time" refers to a situation where changes and reactions occur immediately in response to user actions and the activities of virtual characters, without any time lag.

[0016] A "non-fungible token (NFT)" refers to a digital asset based on blockchain technology that is individually identified and tradable, giving virtual characters unique economic value.

[0017] Blockchain is a technology that encrypts digital data and manages it as a distributed ledger, guaranteeing transparency and security in transactions.

[0018] "Exchange and trading" refers to the transaction of digital assets, including virtual characters, between users, and signifies the process of commercial transactions in the digital marketplace. [Brief explanation of the drawing]

[0019] [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] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Embodiments for Carrying Out the Invention

[0020] 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.

[0021] First, the language used in the following description will be explained.

[0022] In the following embodiments, the signed processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Furthermore, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), and APU (Accelerated Processing Unit).

[0023] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0024] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0025] 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).

[0026] 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."

[0027] [First Embodiment]

[0028] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0029] 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.

[0030] 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).

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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.

[0035] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0036] 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.

[0037] 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.

[0038] 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.

[0039] 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".

[0040] This invention is a system for users to create, raise, and manage virtual characters, integrating multiple elements to provide users with a new entertainment experience. The following describes its specific embodiments.

[0041] This system uses a generative AI model running on a cloud server to automatically generate virtual characters based on user input. Users access the system using a terminal and select the character's basic appearance, personality, and voice characteristics. The server then builds a character prototype based on this input and presents the user with a visual and audio sample of the generated character. The user can then review and customize it as needed.

[0042] As an example, consider a case where a user requests a character with blue hair and a cheerful personality. The server generates a character model based on this request and provides the user with a preview. The user can then further adjust the details until they are satisfied with the result.

[0043] After creating a character, the user begins daily interactions with the character through their device. The server provides a character development plan and presents tasks and events to improve performance and skills. For example, the character's singing skills can be improved by working on a scenario where they participate in a virtual music concert.

[0044] Furthermore, the system also has the ability to deploy virtual characters across multiple virtual spaces and social communication networks. The server manages the characters' activities in the virtual space in real time and has them participate in events according to schedules set by the user. It can also share the characters' activities through social media, enhancing interaction with fans.

[0045] Finally, the developed characters are converted into non-fungible tokens (NFTs) and registered on the blockchain by the server. This allows users to exchange or sell their characters with other users, thereby realizing the economic value of their virtual characters.

[0046] This system will allow users to expand their creative expression through virtual characters and experience new forms of entertainment.

[0047] The following describes the processing flow.

[0048] Step 1:

[0049] The user accesses the system using their device to begin generating a virtual character and enters their preferences regarding the character's appearance, personality, and voice characteristics. This input includes specifying options based on specific requests and preferences.

[0050] Step 2:

[0051] Based on the user input information received by the server, a generation AI model is used to automatically generate a prototype of a virtual character. A digital model and voice samples are generated according to the appearance, voice, and personality, and this data is sent to the terminal.

[0052] Step 3:

[0053] Users can view the character's visuals and voice samples displayed on their device and customize them as needed. The server receives user feedback in real time and makes adjustments to finalize the character to meet the user's preferences.

[0054] Step 4:

[0055] The user selects a development plan for their virtual character and begins interacting with the character through their device. The server generates and presents tasks and events to the user to promote the character's growth based on the development plan. These include skills the character will acquire and goals they will achieve.

[0056] Step 5:

[0057] Based on user input, the device interacts with the character and reports its progress and results to the server. The server uses this information to update the character's growth parameters and provide necessary feedback.

[0058] Step 6:

[0059] The server deploys virtual characters to designated virtual spaces and social communication networks and manages their activities in real time. Users plan events and schedule the participation of their characters in the virtual space.

[0060] Step 7:

[0061] The server converts the characters it has trained into non-fungible tokens (NFTs) and registers them on the blockchain. Users can exchange or sell characters with other users via their devices and complete transactions.

[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] In modern society, the demand for digital entertainment is increasing, and there is a need to provide users with personalized character experiences. However, traditional methods require a tremendous amount of time and effort to create and manage characters, and there is a lack of interfaces that allow users to easily manage their characters. Therefore, there is a need for a system that allows users to easily and efficiently create virtual characters, develop them, and utilize them in various virtual spaces.

[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 automatically generating the appearance, voice, and personality of a virtual entity by utilizing a generative model based on input provided by the user via a terminal; means for the user to interact with the generated virtual entity using a terminal, and to raise and manage it; and means for deploying the virtual entity in multiple virtual spaces and enabling real-time interaction with other users. This makes it possible for users to easily generate and raise virtual characters, utilize them in a variety of virtual environments, and smoothly interact with other users.

[0067] A "user" is an individual who uses the system to create virtual entities and to nurture and manage them.

[0068] A "terminal" is a computer device used by a user to access a system and is a device that receives input from the user.

[0069] A "generative model" is an artificial intelligence algorithm used to automatically generate virtual entities based on user input.

[0070] A "virtual entity" refers to a digital character created by a user, a digital object that possesses an appearance, voice, and personality.

[0071] "Cultivation and management" refers to the process of promoting the growth of user-generated virtual entities and improving their abilities and characteristics.

[0072] A "virtual space" is a digital environment accessible via the internet, and a realm where virtual entities operate.

[0073] "Interaction" refers to the process by which virtual entities interact with other users or other virtual entities in a virtual space.

[0074] An "irreplaceable digital certificate" is a form of digital asset managed using blockchain technology, possessing a unique and non-exchangeable value.

[0075] "Distributed ledger technology" refers to technologies, including blockchain, that publicly store and maintain the integrity of transaction data.

[0076] This invention is a system for users to create, nurture, and manage virtual entities. This system automatically generates virtual entities based on user input by utilizing a generative AI model installed on a cloud-based server. Users access the system through a terminal and select basic information about the virtual entity, such as its appearance, voice, and personality.

[0077] The server receives information entered by the user from the terminal and sends it to the generative AI model as a prompt. The generative AI model generates a prototype of a virtual entity according to the prompt. For example, if the user requests a character with "blue hair, a cheerful personality, and a high-pitched voice," the server creates a prompt that reflects this request, and the model generates the character. The generated character's visual and voice samples are presented to the user through the terminal.

[0078] Users can review the generated virtual entity and perform further customizations via their device. The server reapplies the model and adjusts the character based on user feedback. Once the virtual entity is complete, users can begin interacting with it through their device and enjoy daily interactions.

[0079] The system includes a feature that provides a development plan for virtual beings, allowing users to improve their skills and abilities by selecting growth tasks and events. For example, one scenario involves a virtual being participating in a virtual music concert to improve its singing skills.

[0080] Furthermore, the server can deploy virtual entities in virtual spaces and social networks, and manage them according to schedules set by the user. The activities of virtual entities are managed in real time, and activity information can be shared with other users.

[0081] Finally, this system allows cultivated virtual entities to be registered as irreplaceable digital certificates using distributed ledger technology. This enables users to exchange or trade virtual entities with other users and enjoy their value.

[0082] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0083] Step 1:

[0084] The user uses a terminal to input basic information about the virtual entity, such as its appearance, voice, and personality. The entered data is then structured and ready to be sent to the server. As a concrete example, a user might request a character with "blue hair, a cheerful personality, and a high-pitched voice."

[0085] Step 2:

[0086] The terminal sends user input data to the server. Based on this transmitted data, the server creates prompt statements for the generated AI model. These prompt statements describe in detail the characteristics of the virtual entity to be generated.

[0087] Step 3:

[0088] The server invokes the generative AI model and provides the created prompt statement as input. Based on this prompt statement, the AI ​​model generates a prototype of a virtual entity. The output is a visual and audio sample of the virtual entity.

[0089] Step 4:

[0090] The server sends the generated virtual entity's visual and audio samples to the terminal and presents them to the user. The user can see the results through the screen and audio, and as a concrete action, they can actually see the character's appearance and voice.

[0091] Step 5:

[0092] Users can view a prototype of the virtual entity generated through their device and perform further customizations. Upon entering any necessary changes, those changes are sent back to the server.

[0093] Step 6:

[0094] The server receives customization feedback from the user and runs the generated AI model again to adjust the virtual entity. This generates a final character that better matches the user's requirements.

[0095] Step 7:

[0096] The server presents a development plan for the virtual entity, with final adjustments completed. The user then selects development tasks and events via their device to promote the virtual entity's growth. Examples include having the virtual entity participate in a virtual music concert.

[0097] Step 8:

[0098] The process of deploying the virtual entity across multiple virtual spaces and social networks begins. The server manages real-time interactions and prepares the character to participate in various activities according to the user-set schedule.

[0099] Step 9:

[0100] Finally, the server registers the trained characters as irreplaceable digital certificates using distributed ledger technology. Users can then exchange or trade their completed characters with other users to maximize their value.

[0101] (Application Example 1)

[0102] 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."

[0103] Modern entertainment demands personalized experiences for users. However, existing systems struggle to dynamically generate narratives and content that users can participate in and interact with through their virtual characters. Furthermore, there are shortcomings in the exchange of economic value and interaction between users using virtual characters. Given these issues, there is a need to provide different experiences for each user and realize new value through the use of virtual characters.

[0104] 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.

[0105] In this invention, the server includes means for automatically generating the appearance, voice, and personality of a virtual character based on user input, utilizing artificial intelligence; means for the user to cultivate and manage the generated virtual character through interaction with the character; and means for providing a personalized visual and auditory experience by having the user-generated virtual character participate in dynamically generated stories and content. This enables the provision of a unique interactive entertainment experience for each user, as well as the creation of new economic value through virtual characters.

[0106] "User input" refers to the information and instructions that users provide to the system, and it forms the basis for the creation and management of virtual characters.

[0107] Artificial intelligence is a technology that enables computer programs to perform human-like perceptions and judgments, and plays a crucial role in the creation and development of virtual characters.

[0108] A "virtual character" is a model of a fictional person or creature generated within a digital environment, which users can customize and include in their experiences.

[0109] "Training" refers to the specific actions and processes taken to improve the abilities and characteristics of a virtual character.

[0110] "Management" refers to the means and processes for systematically controlling and optimizing the growth and activities of a virtual character.

[0111] "Real-time" refers to the ability to respond immediately to user actions and events, and is a necessary characteristic for virtual characters to interact realistically with others.

[0112] A "non-fungible token" is a unique digital asset protected on the blockchain, providing a foundation for virtual characters to have their own value and be traded.

[0113] A "dynamically generated story" is a flexible narrative that changes its development depending on the user's choices and the characteristics of the virtual character.

[0114] A "personalized visual and auditory experience" refers to an experience that provides a unique sense of immersion through the provision of special visuals and audio based on the user's preferences and choices.

[0115] This system allows users to create, develop, and manage virtual characters. The system operates on a cloud server and utilizes a generation AI model to automatically generate virtual characters based on user input.

[0116] Users access the system using their devices and select the basic appearance, personality, and voice characteristics of their character. The server analyzes this input information and builds a prototype of the character using a generative AI model. The generated virtual character is presented to the user as a preview, and the user can customize the details as needed.

[0117] The generated virtual characters can participate in dynamically generated stories and content based on user instructions. The server generates the characters' actions and dialogue according to the scenarios and events selected by the user. In this process, the story branches and changes in real time based on the user's choices.

[0118] Furthermore, users can interact with virtual characters daily through their devices, and the server provides character growth plans. Users can improve their characters' skills and abilities through provided tasks and events. For example, one scenario is to improve a character's performance skills by having them participate in a virtual music event.

[0119] To illustrate this system in more detail, consider a scenario where a user-generated character progresses through an adventure story. The user explores the island according to the character's personality, discovering different items through specific choices and actions, which can influence the story's progression.

[0120] An example of a prompt for a generative AI model is: "Imagine an interactive story where a user-generated character explores a southern island. Depending on the character's personality, you will provide options to discover items and advance the story."

[0121] In this way, the present invention can provide users with an interactive and personalized entertainment experience centered around a virtual character.

[0122] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0123] Step 1:

[0124] Users access the system through their terminals and input information about the appearance, personality, and voice characteristics of their virtual character. This data, which embodies the user's preferences and intentions, is then sent to the server.

[0125] Step 2:

[0126] The server receives input data from the user and generates a virtual character using a generative AI model. In this process, it takes into account the attributes specified by the user, creates the visual and audio of the prototype character, and returns it to the user as a preview.

[0127] Step 3:

[0128] Users can view the character preview provided on their device and customize it as needed. If there are any further modifications, they can provide additional input based on those modifications and request the generation of the final character.

[0129] Step 4:

[0130] The server generates an adaptive storyline by updating character details based on the user's final input and applying them to dynamically generated narratives or content. During this process, the story branches depending on the user's choices and the character's characteristics.

[0131] Step 5:

[0132] Users access a story generated through their device and control a virtual character to make choices and take actions within the narrative. Feedback for each action is provided in real time, and the story changes flexibly.

[0133] Step 6:

[0134] The server records user choices and character actions, and presents a development plan for the virtual character. Based on this information, users can improve their character's skills and abilities and prepare for further storylines and events.

[0135] 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.

[0136] This invention is a system that combines an emotion engine that recognizes user emotions with artificial intelligence, providing an innovative method for generating, developing, and managing virtual characters. The embodiments thereof are described in detail below.

[0137] The system begins with the user using a terminal to start generating a virtual character. The user inputs the character's appearance, personality, and voice characteristics, and this information is sent to the server. The server applies a generation AI model based on the input data to create a prototype of the virtual character. At this point, the user is presented with a visual and voice sample of the generated character.

[0138] For example, if a user requests a "cheerful and adventurous character," the server generates a unique character profile based on those characteristics and provides realistic visual and auditory information. The user then reviews this information on their device and makes final adjustments to confirm their character.

[0139] Next, the system utilizes an emotion engine to analyze emotions through interaction with the user. For example, if the user uses actions or words that indicate interest in the character, the emotion engine analyzes that information, and the server adjusts the character's response accordingly.

[0140] Users interact with virtual characters on a daily basis via their devices and progress through their character development plans. A server equipped with an emotion engine dynamically adjusts character growth events and skill development based on the user's emotional state, providing the user with the optimal experience. For example, if a user shows supportive feelings towards a character, events that motivate that character will be prioritized.

[0141] Furthermore, the system can deploy virtual characters across multiple virtual spaces. The server manages interactions with other users in real time, and an emotion engine facilitates interactions that stimulate user emotions. In addition, the activities of virtual characters are linked to social communication networks, and their activity information is automatically shared.

[0142] Finally, the trained characters are converted into NFTs (Non-Fungible Tokens) and registered on the blockchain by the server. Users can then exchange or sell characters with other users via their devices, enabling value-added transactions that prioritize emotions.

[0143] These systems allow users to enjoy new entertainment experiences through emotionally connected interactions, rather than simply being virtual beings.

[0144] The following describes the processing flow.

[0145] Step 1:

[0146] The user accesses the system using a terminal and inputs information about the appearance, personality, and voice characteristics of the virtual character. This includes specifying the user's preferences and desired traits as options.

[0147] Step 2:

[0148] Based on user input received by the server, a generative AI model is used to automatically generate a prototype of a virtual character. Specifically, it designs a visual model of the character, generates voice samples, and sends them to the terminal.

[0149] Step 3:

[0150] The device presents the user with a visual image and voice sample of the generated character. The user reviews it and provides instructions for customization as needed. The server receives these modification instructions in real time and adjusts the character model accordingly.

[0151] Step 4:

[0152] The user begins interacting with their chosen character and selects a training plan. The emotion engine monitors the user's emotional state through the device.

[0153] Step 5:

[0154] The server uses an emotion engine to analyze the user's emotions and dynamically adjusts the virtual character's dialogue and responses based on the user's feelings. For example, if the user is excited, the character will respond in an energetic manner.

[0155] Step 6:

[0156] Users engage in daily interactions with characters through their devices and experience character development events suggested by the system. The server updates character growth parameters and events in real time based on the user's emotional data.

[0157] Step 7:

[0158] The server deploys characters in the virtual space and activates interaction between users. The emotion engine analyzes the emotions of users during interaction in real time and optimizes the interaction.

[0159] Step 8:

[0160] Through the device, the activities of the virtual character are linked to social communication networks, and activity information is automatically shared. Content that reflects the user's emotions is disseminated, deepening the relationship with followers.

[0161] Step 9:

[0162] The server converts the characters that have been trained into non-fungible tokens (NFTs) and registers them on the blockchain. Users can exchange or sell these NFTs with other users, trading them with individual values ​​based on sentiment.

[0163] (Example 2)

[0164] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0165] In the modern era, virtual characters are no longer merely digital entities; they are expected to deepen emotional connections with users through interaction. However, traditional methods have limitations in the creation and development of these characters, making it difficult to achieve character growth and interaction that dynamically reflects users' emotions and desires. Furthermore, there is a need to provide effective means to expand the activities of generated virtual characters more broadly and in real time, and to facilitate valuable interactions and transactions.

[0166] 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.

[0167] In this invention, the server includes means for dynamically generating the appearance, voice, and personality of a virtual character based on user input information using a machine learning algorithm; means for nurturing and managing the character through user interaction with the generated virtual character; and means for analyzing the user's emotions and dynamically adjusting the virtual character's responses based on the results. This allows users to enjoy the process of generating and nurturing an emotionally resonant virtual character, and to have a deeper entertainment experience through real-time interaction with the virtual character.

[0168] "User input information" refers to data provided by the user regarding appearance, voice, and personality necessary for generating a virtual character.

[0169] A "machine learning algorithm" is a method that learns from large amounts of data, extracts patterns from it, and performs predictions and classifications.

[0170] A "virtual character" refers to a character or avatar created in digital space that possesses appearance and behavioral characteristics.

[0171] "Means of dynamic generation" refers to methods and systems for generating digital content in real time according to user specifications.

[0172] "Means of nurturing and managing through interaction with users" refers to technologies and methods that enable virtual characters to grow and change through interaction with users.

[0173] "Methods for analyzing emotions" refer to technologies that read and understand emotions from a user's facial expressions, voice, text data, etc.

[0174] "Means for dynamically adjusting the responses of virtual characters" refers to methods and technologies that change a character's reactions and expressions in real time based on the results of emotion analysis.

[0175] This invention is implemented with a configuration centered around a user-operated terminal and a server connected to it. The system provides a method for generating and managing virtual characters, primarily using a generative AI model and an emotion engine. The user uses the terminal to input initial data such as the appearance, personality, and voice characteristics of the virtual character. This information is transmitted from the terminal to the server, which then uses machine learning algorithms to generate a prototype based on that data.

[0176] The server utilizes a generative AI model to dynamically construct the visual and auditory characteristics of a virtual character in response to user requests. This enables the creation of characters tailored to individual needs in the digital space. Specific software used includes deep learning frameworks (such as Tensorflow® and PyTorch).

[0177] Users can continuously interact with virtual characters generated through their devices, and in the process, they can nurture and manage these characters. An emotion engine analyzes the user's emotions, and the server adjusts the virtual character's responses based on that data. This dynamic adjustment ensures the virtual character responds optimally to the user, providing a more natural conversational experience.

[0178] As a concrete example, if a user enters a prompt requesting the creation of an "adventurous and cheerful character" in the format "cheerful and adventurous character," the server will generate a character that reflects those characteristics.

[0179] Furthermore, the generated virtual characters are digitized as non-fungible tokens (NFTs) and registered using blockchain technology. This allows users to trade virtual characters with other users via their devices, creating a digital ecosystem with emotional value.

[0180] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0181] Step 1:

[0182] The user begins generating a virtual character using their device. The user inputs characteristics such as "cheerful and adventurous character" as a prompt, and then enters detailed information such as appearance, voice, and personality into the device. This input information is sent to the server as a data package.

[0183] Input: Prompt text, person's characteristics information

[0184] Output: Data package sent to the server

[0185] Step 2:

[0186] The server analyzes the data package received from the terminal and generates a prototype of a virtual character using a generative AI model. Specifically, a machine learning algorithm designs the character's visual and vocal characteristics based on the prompt text, and the server then constructs it visually and aurally.

[0187] Input: Data package

[0188] Output: Prototype of a virtual character (visual and audio samples of the virtual character)

[0189] Step 3:

[0190] The server sends the generated prototype's visual and audio samples to the terminal. The terminal then presents this to the user and provides an interface for review and modification. Specifically, it creates a system where the user can input modifications such as "I want a brighter voice."

[0191] Input: Prototype of a virtual character

[0192] Output: User confirmation and correction instructions

[0193] Step 4:

[0194] If the user enters correction instructions, the terminal sends that information back to the server. The server then uses this information to reapply the generated AI model and create the final version of the virtual character. In terms of operation, analysis is performed based on the prompt text and the user's instructions.

[0195] Input: Correction Instructions

[0196] Output: Final virtual character

[0197] Step 5:

[0198] The user initiates an interaction with a virtual character through their device. The server uses an emotion engine to analyze the user's reactions and statements in real time and dynamically adjust the character's responses. Specifically, the server analyzes the user's emotions and generates scenarios in which the virtual character responds based on the results.

[0199] Input: User interaction content

[0200] Output: Sentiment analysis results, virtual character's response

[0201] Step 6:

[0202] The server dynamically adjusts character growth and events based on emotion analysis, providing a new experience. Users are guided through their devices to the most suitable growth events and skill development.

[0203] Input: Sentiment analysis results

[0204] Output: Growth events, skill development guide

[0205] Step 7:

[0206] Ultimately, the generated virtual characters are registered as digital assets using distributed ledger technology. Users can trade characters with other users via their terminals. The server manages this process, enabling the exchange and buying / selling of digital assets.

[0207] Input: Final virtual character

[0208] Output: Digital asset registration, tradable status

[0209] (Application Example 2)

[0210] 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."

[0211] In home automation devices and other consumer electronics, there is a need to improve usability by enhancing the ability to respond to users' emotions in a personalized way, thereby creating unprecedented personalized experiences. Furthermore, a challenge is to provide systems that allow these devices to respond dynamically based on user emotions and support the development of healthy interpersonal relationships.

[0212] 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.

[0213] In this invention, the server includes means for applying user-emotion-based customization to a home automation device using an emotion engine that analyzes the user's emotions, means for automatically generating the appearance, voice, and personality of a virtual character using artificial intelligence, and means for the user to raise and manage the generated virtual character through interaction with the character. This enables the home automation device to operate in accordance with the user's emotions, providing a personalized experience and better usability.

[0214] "User input" refers to the information and instructions that users provide to the system, and is used to customize things like the character's appearance, voice, and personality.

[0215] "Artificial intelligence" refers to technology that enables computers and robots to mimic human intellectual activity and perform learning and decision-making, and it is used in the creation of virtual characters.

[0216] A "virtual character" refers to a fictional person or creature generated on a computer that enables interaction with the user.

[0217] An "emotion engine" refers to a technology that analyzes a user's emotions and adjusts the system's actions and responses accordingly.

[0218] "Home automation devices" refer to equipment used in the home to automate everyday tasks and are capable of responding based on the user's emotions.

[0219] A "non-fungible token" refers to a token that uses blockchain technology to guarantee the uniqueness of a digital asset and is used for the exchange and trading of virtual characters.

[0220] To realize this invention, it is necessary to build a system that generates a virtual character based on user input and applies it to a home automation device. In implementing this system, a terminal collects user input and sends this information to a server. The server automatically generates the appearance, voice, and personality of the virtual character using a generative AI model. This is done using Python programs and language processing APIs (e.g., Google® Cloud Natural Language API).

[0221] The emotion engine analyzes the user's emotional state from their input and customizes the functions and responses of home automation devices based on the results. This customization process adjusts the behavior of a robot used in a home, for example, so that it exhibits different personality traits depending on the user's emotions. Specifically, if the user inputs "I'm tired today," the robot is programmed to take actions to create a relaxing atmosphere.

[0222] To maximize the effectiveness of this invention, users can nurture a virtual character through interaction. This is because the character's growth is directly linked to the user's emotional input. Ultimately, this virtual character is registered as a nonfungible token (NFT), which can be exchanged and traded with other users.

[0223] An example of a prompt message is: "Generate a robot with a specific personality based on the emotions expressed by the user. Personality: Gentle, Voice tone: Calm, Situation: To support a tired user." This provides a character and functionality that suits the user's specific needs.

[0224] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0225] Step 1:

[0226] The user initiates the creation of a virtual character using a terminal. The terminal collects information entered by the user (character's appearance, personality, and voice characteristics) and sends it to the server. The input data includes the user's requests and individual customization information.

[0227] Step 2:

[0228] The server generates a virtual character using a generative AI model based on the received user input. During this process, the input data is preprocessed and converted to an appropriate format before being input into the AI ​​model. The generated character is output as visual data and audio samples and presented to the user.

[0229] Step 3:

[0230] The user reviews the generated character and makes any necessary adjustments via their device. The server then re-analyzes the user's feedback and makes final adjustments to the character. During this process, the server receives the user's detailed modification instructions as data and incorporates them into the character.

[0231] Step 4:

[0232] The server uses an emotion engine to analyze the user's emotions. It inputs user dialogue and behavioral data into the emotion engine to determine the user's emotional state. Based on the analysis results, it applies character personalities and behavior settings to the home automation device.

[0233] Step 5:

[0234] Users engage in daily interactions with characters and progress through their development plans. The server uses the interaction data and real-time feedback from an emotion engine to adjust the character's growth events. This ensures that the character responds appropriately to the user's emotions.

[0235] Step 6:

[0236] The generated virtual characters are registered as non-fungible tokens. The server registers the character data on the blockchain, making it tradable. This allows users to exchange or sell characters with other users.

[0237] 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.

[0238] 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.

[0239] 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.

[0240] [Second Embodiment]

[0241] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0242] 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.

[0243] 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).

[0244] 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.

[0245] 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.

[0246] 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).

[0247] 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.

[0248] 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.

[0249] 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.

[0250] 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.

[0251] 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.

[0252] 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".

[0253] This invention is a system for users to create, raise, and manage virtual characters, integrating multiple elements to provide users with a new entertainment experience. The following describes its specific embodiments.

[0254] This system uses a generative AI model running on a cloud server to automatically generate virtual characters based on user input. Users access the system using a terminal and select the character's basic appearance, personality, and voice characteristics. The server then builds a character prototype based on this input and presents the user with a visual and audio sample of the generated character. The user can then review and customize it as needed.

[0255] As an example, consider a case where a user requests a character with blue hair and a cheerful personality. The server generates a character model based on this request and provides the user with a preview. The user can then further adjust the details until they are satisfied with the result.

[0256] After creating a character, the user begins daily interactions with the character through their device. The server provides a character development plan and presents tasks and events to improve performance and skills. For example, the character's singing skills can be improved by working on a scenario where they participate in a virtual music concert.

[0257] Furthermore, the system also has the ability to deploy virtual characters across multiple virtual spaces and social communication networks. The server manages the characters' activities in the virtual space in real time and has them participate in events according to schedules set by the user. It can also share the characters' activities through social media, enhancing interaction with fans.

[0258] Finally, the developed characters are converted into non-fungible tokens (NFTs) and registered on the blockchain by the server. This allows users to exchange or sell their characters with other users, thereby realizing the economic value of their virtual characters.

[0259] This system will allow users to expand their creative expression through virtual characters and experience new forms of entertainment.

[0260] The following describes the processing flow.

[0261] Step 1:

[0262] The user accesses the system using their device to begin generating a virtual character and enters their preferences regarding the character's appearance, personality, and voice characteristics. This input includes specifying options based on specific requests and preferences.

[0263] Step 2:

[0264] Based on the user input information received by the server, a generation AI model is used to automatically generate a prototype of a virtual character. A digital model and voice samples are generated according to the appearance, voice, and personality, and this data is sent to the terminal.

[0265] Step 3:

[0266] Users can view the character's visuals and voice samples displayed on their device and customize them as needed. The server receives user feedback in real time and makes adjustments to finalize the character to meet the user's preferences.

[0267] Step 4:

[0268] The user selects a development plan for their virtual character and begins interacting with the character through their device. The server generates and presents tasks and events to the user to promote the character's growth based on the development plan. These include skills the character will acquire and goals they will achieve.

[0269] Step 5:

[0270] Based on user input, the device interacts with the character and reports its progress and results to the server. The server uses this information to update the character's growth parameters and provide necessary feedback.

[0271] Step 6:

[0272] The server deploys virtual characters to designated virtual spaces and social communication networks and manages their activities in real time. Users plan events and schedule the participation of their characters in the virtual space.

[0273] Step 7:

[0274] The server converts the characters it has trained into non-fungible tokens (NFTs) and registers them on the blockchain. Users can exchange or sell characters with other users via their devices and complete transactions.

[0275] (Example 1)

[0276] 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".

[0277] In modern society, the demand for digital entertainment is increasing, and there is a need to provide users with personalized character experiences. However, traditional methods require a tremendous amount of time and effort to create and manage characters, and there is a lack of interfaces that allow users to easily manage their characters. Therefore, there is a need for a system that allows users to easily and efficiently create virtual characters, develop them, and utilize them in various virtual spaces.

[0278] 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.

[0279] In this invention, the server includes means for automatically generating the appearance, voice, and personality of a virtual entity by leveraging a generation model based on the input provided by the user via a terminal; means for the user to interact with the generated virtual entity using the terminal and to cultivate and manage it; and means for deploying the virtual entity across multiple virtual spaces to enable real-time communication with other users. As a result, the user can easily generate, raise, utilize in a diverse virtual environment, and smoothly interact with other users with a virtual character.

[0280] A "user" is an individual who uses the system to generate a virtual entity and cultivate and manage it.

[0281] A "terminal" is a computer device for the user to access the system and a device for receiving input from the user.

[0282] A "generation model" is an artificial intelligence algorithm used to automatically generate a virtual entity based on the user's input.

[0283] A "virtual entity" refers to a digital character generated by the user and is a digital object with an appearance, voice, and personality.

[0284] "Cultivation and management" is a process in which the user promotes the growth of the generated virtual entity and improves its abilities and characteristics.

[0285] A "virtual space" is a digital environment accessible via the Internet and is the area where a virtual entity operates.

[0286] "Communication" is the interaction of a virtual entity with other users or other virtual entities in a virtual space.

[0287] An "irreplaceable digital certificate" is a form of digital asset managed using blockchain technology and has a unique and non-exchangeable value.

[0288] "Distributed ledger technology" refers to technologies, including blockchain, that publicly store and maintain the integrity of transaction data.

[0289] This invention is a system for users to create, nurture, and manage virtual entities. This system automatically generates virtual entities based on user input by utilizing a generative AI model installed on a cloud-based server. Users access the system through a terminal and select basic information about the virtual entity, such as its appearance, voice, and personality.

[0290] The server receives information entered by the user from the terminal and sends it to the generative AI model as a prompt. The generative AI model generates a prototype of a virtual entity according to the prompt. For example, if the user requests a character with "blue hair, a cheerful personality, and a high-pitched voice," the server creates a prompt that reflects this request, and the model generates the character. The generated character's visual and voice samples are presented to the user through the terminal.

[0291] Users can review the generated virtual entity and perform further customizations via their device. The server reapplies the model and adjusts the character based on user feedback. Once the virtual entity is complete, users can begin interacting with it through their device and enjoy daily interactions.

[0292] The system includes a feature that provides a development plan for virtual beings, allowing users to improve their skills and abilities by selecting growth tasks and events. For example, one scenario involves a virtual being participating in a virtual music concert to improve its singing skills.

[0293] Furthermore, the server can deploy virtual entities in virtual spaces and social networks, and manage them according to schedules set by the user. The activities of virtual entities are managed in real time, and activity information can be shared with other users.

[0294] Finally, this system allows cultivated virtual entities to be registered as irreplaceable digital certificates using distributed ledger technology. This enables users to exchange or trade virtual entities with other users and enjoy their value.

[0295] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0296] Step 1:

[0297] The user uses a terminal to input basic information about the virtual entity, such as its appearance, voice, and personality. The entered data is then structured and ready to be sent to the server. As a concrete example, a user might request a character with "blue hair, a cheerful personality, and a high-pitched voice."

[0298] Step 2:

[0299] The terminal sends user input data to the server. Based on this transmitted data, the server creates prompt statements for the generated AI model. These prompt statements describe in detail the characteristics of the virtual entity to be generated.

[0300] Step 3:

[0301] The server invokes the generative AI model and provides the created prompt statement as input. Based on this prompt statement, the AI ​​model generates a prototype of a virtual entity. The output is a visual and audio sample of the virtual entity.

[0302] Step 4:

[0303] The server sends the generated visual and audio samples of the virtual entity to the terminal and presents them to the user. The user can confirm the results through the screen and audio, and as a specific operation, can actually see the appearance and voice of the character.

[0304] Step 5:

[0305] The user can view the prototype of the virtual entity generated through the terminal and perform more detailed customization. By inputting the necessary changes, the content is sent to the server again.

[0306] Step 6:

[0307] The server receives the customization feedback from the user, re - executes the generation AI model, and adjusts the virtual entity. As a result, the final character that meets the user's requirements is generated.

[0308] Step 7:

[0309] The server presents the cultivation plan of the virtual entity after the final adjustment. The user can select cultivation tasks and events through the terminal to promote the growth of the virtual entity. Specifically, it can include participating in a virtual music concert.

[0310] Step 8:

[0311] The procedure of deploying the virtual entity to multiple virtual spaces and social networks is started. The server manages real - time communication and prepares for the character to participate in various activities according to the schedule set by the user.

[0312] Step 9:

[0313] Finally, the server registers the cultivated character as an irreplaceable digital certificate in the distributed ledger technology. The user can exchange or trade the completed character with other users to maximize its value.

[0314] (Application Example 1)

[0315] 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."

[0316] Modern entertainment demands personalized experiences for users. However, existing systems struggle to dynamically generate narratives and content that users can participate in and interact with through their virtual characters. Furthermore, there are shortcomings in the exchange of economic value and interaction between users using virtual characters. Given these issues, there is a need to provide different experiences for each user and realize new value through the use of virtual characters.

[0317] 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.

[0318] In this invention, the server includes means for automatically generating the appearance, voice, and personality of a virtual character based on user input, utilizing artificial intelligence; means for the user to cultivate and manage the generated virtual character through interaction with the character; and means for providing a personalized visual and auditory experience by having the user-generated virtual character participate in dynamically generated stories and content. This enables the provision of a unique interactive entertainment experience for each user, as well as the creation of new economic value through virtual characters.

[0319] "User input" refers to the information and instructions that users provide to the system, and it forms the basis for the creation and management of virtual characters.

[0320] Artificial intelligence is a technology that enables computer programs to perform human-like perceptions and judgments, and plays a crucial role in the creation and development of virtual characters.

[0321] A "virtual character" is a model of a fictional person or creature generated within a digital environment, which users can customize and include in their experiences.

[0322] "Training" refers to the specific actions and processes taken to improve the abilities and characteristics of a virtual character.

[0323] "Management" refers to the means and processes for systematically controlling and optimizing the growth and activities of a virtual character.

[0324] "Real-time" refers to the ability to respond immediately to user actions and events, and is a necessary characteristic for virtual characters to interact realistically with others.

[0325] A "non-fungible token" is a unique digital asset protected on the blockchain, providing a foundation for virtual characters to have their own value and be traded.

[0326] A "dynamically generated story" is a flexible narrative that changes its development depending on the user's choices and the characteristics of the virtual character.

[0327] A "personalized visual and auditory experience" refers to an experience that provides a unique sense of immersion through the provision of special visuals and audio based on the user's preferences and choices.

[0328] This system allows users to create, develop, and manage virtual characters. The system operates on a cloud server and utilizes a generation AI model to automatically generate virtual characters based on user input.

[0329] Users access the system using their devices and select the basic appearance, personality, and voice characteristics of their character. The server analyzes this input information and builds a prototype of the character using a generative AI model. The generated virtual character is presented to the user as a preview, and the user can customize the details as needed.

[0330] The generated virtual characters can participate in dynamically generated stories and content based on user instructions. The server generates the characters' actions and dialogue according to the scenarios and events selected by the user. In this process, the story branches and changes in real time based on the user's choices.

[0331] Furthermore, users can interact with virtual characters daily through their devices, and the server provides character growth plans. Users can improve their characters' skills and abilities through provided tasks and events. For example, one scenario is to improve a character's performance skills by having them participate in a virtual music event.

[0332] To illustrate this system in more detail, consider a scenario where a user-generated character progresses through an adventure story. The user explores the island according to the character's personality, discovering different items through specific choices and actions, which can influence the story's progression.

[0333] An example of a prompt for a generative AI model is: "Imagine an interactive story where a user-generated character explores a southern island. Depending on the character's personality, you will provide options to discover items and advance the story."

[0334] In this way, the present invention can provide users with an interactive and personalized entertainment experience centered around a virtual character.

[0335] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0336] Step 1:

[0337] Users access the system through their terminals and input information about the appearance, personality, and voice characteristics of their virtual character. This data, which embodies the user's preferences and intentions, is then sent to the server.

[0338] Step 2:

[0339] The server receives input data from the user and generates a virtual character using a generative AI model. In this process, it takes into account the attributes specified by the user, creates the visual and audio of the prototype character, and returns it to the user as a preview.

[0340] Step 3:

[0341] Users can view the character preview provided on their device and customize it as needed. If there are any further modifications, they can provide additional input based on those modifications and request the generation of the final character.

[0342] Step 4:

[0343] The server generates an adaptive storyline by updating character details based on the user's final input and applying them to dynamically generated narratives or content. During this process, the story branches depending on the user's choices and the character's characteristics.

[0344] Step 5:

[0345] Users access a story generated through their device and control a virtual character to make choices and take actions within the narrative. Feedback for each action is provided in real time, and the story changes flexibly.

[0346] Step 6:

[0347] The server records user choices and character actions, and presents a development plan for the virtual character. Based on this information, users can improve their character's skills and abilities and prepare for further storylines and events.

[0348] 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.

[0349] This invention is a system that combines an emotion engine that recognizes user emotions with artificial intelligence, providing an innovative method for generating, developing, and managing virtual characters. The embodiments thereof are described in detail below.

[0350] The system begins with the user using a terminal to start generating a virtual character. The user inputs the character's appearance, personality, and voice characteristics, and this information is sent to the server. The server applies a generation AI model based on the input data to create a prototype of the virtual character. At this point, the user is presented with a visual and voice sample of the generated character.

[0351] For example, if a user requests a "cheerful and adventurous character," the server generates a unique character profile based on those characteristics and provides realistic visual and auditory information. The user then reviews this information on their device and makes final adjustments to confirm their character.

[0352] Next, the system utilizes an emotion engine to analyze emotions through interaction with the user. For example, if the user uses actions or words that indicate interest in the character, the emotion engine analyzes that information, and the server adjusts the character's response accordingly.

[0353] Users interact with virtual characters on a daily basis via their devices and progress through their character development plans. A server equipped with an emotion engine dynamically adjusts character growth events and skill development based on the user's emotional state, providing the user with the optimal experience. For example, if a user shows supportive feelings towards a character, events that motivate that character will be prioritized.

[0354] Furthermore, the system can deploy virtual characters across multiple virtual spaces. The server manages interactions with other users in real time, and an emotion engine facilitates interactions that stimulate user emotions. In addition, the activities of virtual characters are linked to social communication networks, and their activity information is automatically shared.

[0355] Finally, the trained characters are converted into NFTs (Non-Fungible Tokens) and registered on the blockchain by the server. Users can then exchange or sell characters with other users via their devices, enabling value-added transactions that prioritize emotions.

[0356] These systems allow users to enjoy new entertainment experiences through emotionally connected interactions, rather than simply being virtual beings.

[0357] The following describes the processing flow.

[0358] Step 1:

[0359] The user accesses the system using a terminal and inputs information about the appearance, personality, and voice characteristics of the virtual character. This includes specifying the user's preferences and desired traits as options.

[0360] Step 2:

[0361] Based on user input received by the server, a generative AI model is used to automatically generate a prototype of a virtual character. Specifically, it designs a visual model of the character, generates voice samples, and sends them to the terminal.

[0362] Step 3:

[0363] The device presents the user with a visual image and voice sample of the generated character. The user reviews it and provides instructions for customization as needed. The server receives these modification instructions in real time and adjusts the character model accordingly.

[0364] Step 4:

[0365] The user begins interacting with their chosen character and selects a training plan. The emotion engine monitors the user's emotional state through the device.

[0366] Step 5:

[0367] The server uses an emotion engine to analyze the user's emotions and dynamically adjusts the virtual character's dialogue and responses based on the user's feelings. For example, if the user is excited, the character will respond in an energetic manner.

[0368] Step 6:

[0369] Users engage in daily interactions with characters through their devices and experience character development events suggested by the system. The server updates character growth parameters and events in real time based on the user's emotional data.

[0370] Step 7:

[0371] The server deploys characters in the virtual space and activates interaction between users. The emotion engine analyzes the emotions of users during interaction in real time and optimizes the interaction.

[0372] Step 8:

[0373] Through the device, the activities of the virtual character are linked to social communication networks, and activity information is automatically shared. Content that reflects the user's emotions is disseminated, deepening the relationship with followers.

[0374] Step 9:

[0375] The server converts the characters that have been trained into non-fungible tokens (NFTs) and registers them on the blockchain. Users can exchange or sell these NFTs with other users, trading them with individual values ​​based on sentiment.

[0376] (Example 2)

[0377] 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".

[0378] In the modern era, virtual characters are no longer merely digital entities; they are expected to deepen emotional connections with users through interaction. However, traditional methods have limitations in the creation and development of these characters, making it difficult to achieve character growth and interaction that dynamically reflects users' emotions and desires. Furthermore, there is a need to provide effective means to expand the activities of generated virtual characters more broadly and in real time, and to facilitate valuable interactions and transactions.

[0379] 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.

[0380] In this invention, the server includes means for dynamically generating the appearance, voice, and personality of a virtual character based on user input information using a machine learning algorithm; means for nurturing and managing the character through user interaction with the generated virtual character; and means for analyzing the user's emotions and dynamically adjusting the virtual character's responses based on the results. This allows users to enjoy the process of generating and nurturing an emotionally resonant virtual character, and to have a deeper entertainment experience through real-time interaction with the virtual character.

[0381] "User input information" refers to data provided by the user regarding appearance, voice, and personality necessary for generating a virtual character.

[0382] A "machine learning algorithm" is a method that learns from large amounts of data, extracts patterns from it, and performs predictions and classifications.

[0383] A "virtual character" refers to a character or avatar created in digital space that possesses appearance and behavioral characteristics.

[0384] "Means of dynamic generation" refers to methods and systems for generating digital content in real time according to user specifications.

[0385] "Means of nurturing and managing through interaction with users" refers to technologies and methods that enable virtual characters to grow and change through interaction with users.

[0386] "Methods for analyzing emotions" refer to technologies that read and understand emotions from a user's facial expressions, voice, text data, etc.

[0387] "Means for dynamically adjusting the responses of virtual characters" refers to methods and technologies that change a character's reactions and expressions in real time based on the results of emotion analysis.

[0388] This invention is implemented with a configuration centered around a user-operated terminal and a server connected to it. The system provides a method for generating and managing virtual characters, primarily using a generative AI model and an emotion engine. The user uses the terminal to input initial data such as the appearance, personality, and voice characteristics of the virtual character. This information is transmitted from the terminal to the server, which then uses machine learning algorithms to generate a prototype based on that data.

[0389] The server utilizes a generative AI model to dynamically construct the visual and auditory characteristics of a virtual character in response to user requests. This enables the creation of characters tailored to individual needs in the digital space. Specific software used includes deep learning frameworks (such as TensorFlow and PyTorch).

[0390] Users can continuously interact with virtual characters generated through their devices, and in the process, they can nurture and manage these characters. An emotion engine analyzes the user's emotions, and the server adjusts the virtual character's responses based on that data. This dynamic adjustment ensures the virtual character responds optimally to the user, providing a more natural conversational experience.

[0391] As a concrete example, if a user enters a prompt requesting the creation of an "adventurous and cheerful character" in the format "cheerful and adventurous character," the server will generate a character that reflects those characteristics.

[0392] Furthermore, the generated virtual characters are digitized as non-fungible tokens (NFTs) and registered using blockchain technology. This allows users to trade virtual characters with other users via their devices, creating a digital ecosystem with emotional value.

[0393] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0394] Step 1:

[0395] The user begins generating a virtual character using their device. The user inputs characteristics such as "cheerful and adventurous character" as a prompt, and then enters detailed information such as appearance, voice, and personality into the device. This input information is sent to the server as a data package.

[0396] Input: Prompt text, person's characteristics information

[0397] Output: Data package sent to the server

[0398] Step 2:

[0399] The server analyzes the data package received from the terminal and generates a prototype of a virtual character using a generative AI model. Specifically, a machine learning algorithm designs the character's visual and vocal characteristics based on the prompt text, and the server then constructs it visually and aurally.

[0400] Input: Data package

[0401] Output: Prototype of a virtual character (visual and audio samples of the virtual character)

[0402] Step 3:

[0403] The server sends the generated prototype's visual and audio samples to the terminal. The terminal then presents this to the user and provides an interface for review and modification. Specifically, it creates a system where the user can input modifications such as "I want a brighter voice."

[0404] Input: Prototype of a virtual character

[0405] Output: User confirmation and correction instructions

[0406] Step 4:

[0407] If the user enters correction instructions, the terminal sends that information back to the server. The server then uses this information to reapply the generated AI model and create the final version of the virtual character. In terms of operation, analysis is performed based on the prompt text and the user's instructions.

[0408] Input: Correction Instructions

[0409] Output: Final virtual character

[0410] Step 5:

[0411] The user initiates an interaction with a virtual character through their device. The server uses an emotion engine to analyze the user's reactions and statements in real time and dynamically adjust the character's responses. Specifically, the server analyzes the user's emotions and generates scenarios in which the virtual character responds based on the results.

[0412] Input: User interaction content

[0413] Output: Sentiment analysis results, virtual character's response

[0414] Step 6:

[0415] The server dynamically adjusts character growth and events based on emotion analysis, providing a new experience. Users are guided through their devices to the most suitable growth events and skill development.

[0416] Input: Sentiment analysis results

[0417] Output: Growth events, skill development guide

[0418] Step 7:

[0419] Ultimately, the generated virtual characters are registered as digital assets using distributed ledger technology. Users can trade characters with other users via their terminals. The server manages this process, enabling the exchange and buying / selling of digital assets.

[0420] Input: Final virtual character

[0421] Output: Digital asset registration, tradable status

[0422] (Application Example 2)

[0423] 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."

[0424] In home automation devices and other consumer electronics, there is a need to improve usability by enhancing the ability to respond to users' emotions in a personalized way, thereby creating unprecedented personalized experiences. Furthermore, a challenge is to provide systems that allow these devices to respond dynamically based on user emotions and support the development of healthy interpersonal relationships.

[0425] 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.

[0426] In this invention, the server includes means for applying user-emotion-based customization to a home automation device using an emotion engine that analyzes the user's emotions, means for automatically generating the appearance, voice, and personality of a virtual character using artificial intelligence, and means for the user to raise and manage the generated virtual character through interaction with the character. This enables the home automation device to operate in accordance with the user's emotions, providing a personalized experience and better usability.

[0427] "User input" refers to the information and instructions that users provide to the system, and is used to customize things like the character's appearance, voice, and personality.

[0428] "Artificial intelligence" refers to technology that enables computers and robots to mimic human intellectual activity and perform learning and decision-making, and it is used in the creation of virtual characters.

[0429] A "virtual character" refers to a fictional person or creature generated on a computer that enables interaction with the user.

[0430] An "emotion engine" refers to a technology that analyzes a user's emotions and adjusts the system's actions and responses accordingly.

[0431] "Home automation devices" refer to equipment used in the home to automate everyday tasks and are capable of responding based on the user's emotions.

[0432] A "non-fungible token" refers to a token that uses blockchain technology to guarantee the uniqueness of a digital asset and is used for the exchange and trading of virtual characters.

[0433] To realize this invention, it is necessary to build a system that generates a virtual character based on user input and applies it to a home automation device. In implementing this system, a terminal collects user input and sends this information to a server. The server automatically generates the appearance, voice, and personality of the virtual character using a generative AI model. This is done using Python programs and language processing APIs (e.g., Google Cloud Natural Language API).

[0434] The emotion engine analyzes the user's emotional state from their input and customizes the functions and responses of home automation devices based on the results. This customization process adjusts the behavior of a robot used in a home, for example, so that it exhibits different personality traits depending on the user's emotions. Specifically, if the user inputs "I'm tired today," the robot is programmed to take actions to create a relaxing atmosphere.

[0435] To maximize the effectiveness of this invention, users can nurture a virtual character through interaction. This is because the character's growth is directly linked to the user's emotional input. Ultimately, this virtual character is registered as a nonfungible token (NFT), which can be exchanged and traded with other users.

[0436] An example of a prompt message is: "Generate a robot with a specific personality based on the emotions expressed by the user. Personality: Gentle, Voice tone: Calm, Situation: To support a tired user." This provides a character and functionality that suits the user's specific needs.

[0437] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0438] Step 1:

[0439] The user initiates the creation of a virtual character using a terminal. The terminal collects information entered by the user (character's appearance, personality, and voice characteristics) and sends it to the server. The input data includes the user's requests and individual customization information.

[0440] Step 2:

[0441] The server generates a virtual character using a generative AI model based on the received user input. During this process, the input data is preprocessed and converted to an appropriate format before being input into the AI ​​model. The generated character is output as visual data and audio samples and presented to the user.

[0442] Step 3:

[0443] The user reviews the generated character and makes any necessary adjustments via their device. The server then re-analyzes the user's feedback and makes final adjustments to the character. During this process, the server receives the user's detailed modification instructions as data and incorporates them into the character.

[0444] Step 4:

[0445] The server uses an emotion engine to analyze the user's emotions. It inputs user dialogue and behavioral data into the emotion engine to determine the user's emotional state. Based on the analysis results, it applies character personalities and behavior settings to the home automation device.

[0446] Step 5:

[0447] Users engage in daily interactions with characters and progress through their development plans. The server uses the interaction data and real-time feedback from an emotion engine to adjust the character's growth events. This ensures that the character responds appropriately to the user's emotions.

[0448] Step 6:

[0449] The generated virtual characters are registered as non-fungible tokens. The server registers the character data on the blockchain, making it tradable. This allows users to exchange or sell characters with other users.

[0450] 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.

[0451] 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.

[0452] 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.

[0453] [Third Embodiment]

[0454] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0455] 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.

[0456] 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).

[0457] 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.

[0458] 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.

[0459] 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).

[0460] 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.

[0461] 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.

[0462] 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.

[0463] 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.

[0464] 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.

[0465] 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".

[0466] This invention is a system for users to create, raise, and manage virtual characters, integrating multiple elements to provide users with a new entertainment experience. The following describes its specific embodiments.

[0467] This system uses a generative AI model running on a cloud server to automatically generate virtual characters based on user input. Users access the system using a terminal and select the character's basic appearance, personality, and voice characteristics. The server then builds a character prototype based on this input and presents the user with a visual and audio sample of the generated character. The user can then review and customize it as needed.

[0468] As an example, consider a case where a user requests a character with blue hair and a cheerful personality. The server generates a character model based on this request and provides the user with a preview. The user can then further adjust the details until they are satisfied with the result.

[0469] After creating a character, the user begins daily interactions with the character through their device. The server provides a character development plan and presents tasks and events to improve performance and skills. For example, the character's singing skills can be improved by working on a scenario where they participate in a virtual music concert.

[0470] Furthermore, the system also has the ability to deploy virtual characters across multiple virtual spaces and social communication networks. The server manages the characters' activities in the virtual space in real time and has them participate in events according to schedules set by the user. It can also share the characters' activities through social media, enhancing interaction with fans.

[0471] Finally, the developed characters are converted into non-fungible tokens (NFTs) and registered on the blockchain by the server. This allows users to exchange or sell their characters with other users, thereby realizing the economic value of their virtual characters.

[0472] This system will allow users to expand their creative expression through virtual characters and experience new forms of entertainment.

[0473] The following describes the processing flow.

[0474] Step 1:

[0475] The user accesses the system using their device to begin generating a virtual character and enters their preferences regarding the character's appearance, personality, and voice characteristics. This input includes specifying options based on specific requests and preferences.

[0476] Step 2:

[0477] Based on the user input information received by the server, a generation AI model is used to automatically generate a prototype of a virtual character. A digital model and voice samples are generated according to the appearance, voice, and personality, and this data is sent to the terminal.

[0478] Step 3:

[0479] Users can view the character's visuals and voice samples displayed on their device and customize them as needed. The server receives user feedback in real time and makes adjustments to finalize the character to meet the user's preferences.

[0480] Step 4:

[0481] The user selects a development plan for their virtual character and begins interacting with the character through their device. The server generates and presents tasks and events to the user to promote the character's growth based on the development plan. These include skills the character will acquire and goals they will achieve.

[0482] Step 5:

[0483] Based on user input, the device interacts with the character and reports its progress and results to the server. The server uses this information to update the character's growth parameters and provide necessary feedback.

[0484] Step 6:

[0485] The server deploys virtual characters to designated virtual spaces and social communication networks and manages their activities in real time. Users plan events and schedule the participation of their characters in the virtual space.

[0486] Step 7:

[0487] The server converts the characters it has trained into non-fungible tokens (NFTs) and registers them on the blockchain. Users can exchange or sell characters with other users via their devices and complete transactions.

[0488] (Example 1)

[0489] 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."

[0490] In modern society, the demand for digital entertainment is increasing, and there is a need to provide users with personalized character experiences. However, traditional methods require a tremendous amount of time and effort to create and manage characters, and there is a lack of interfaces that allow users to easily manage their characters. Therefore, there is a need for a system that allows users to easily and efficiently create virtual characters, develop them, and utilize them in various virtual spaces.

[0491] 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.

[0492] In this invention, the server includes means for automatically generating the appearance, voice, and personality of a virtual entity by utilizing a generative model based on input provided by the user via a terminal; means for the user to interact with the generated virtual entity using a terminal, and to raise and manage it; and means for deploying the virtual entity in multiple virtual spaces and enabling real-time interaction with other users. This makes it possible for users to easily generate and raise virtual characters, utilize them in a variety of virtual environments, and smoothly interact with other users.

[0493] A "user" is an individual who uses the system to create virtual entities and to nurture and manage them.

[0494] A "terminal" is a computer device used by a user to access a system and is a device that receives input from the user.

[0495] A "generative model" is an artificial intelligence algorithm used to automatically generate virtual entities based on user input.

[0496] A "virtual entity" refers to a digital character created by a user, a digital object that possesses an appearance, voice, and personality.

[0497] "Cultivation and management" refers to the process of promoting the growth of user-generated virtual entities and improving their abilities and characteristics.

[0498] A "virtual space" is a digital environment accessible via the internet, and a realm where virtual entities operate.

[0499] "Interaction" refers to the process by which virtual entities interact with other users or other virtual entities in a virtual space.

[0500] An "irreplaceable digital certificate" is a form of digital asset managed using blockchain technology, possessing a unique and non-exchangeable value.

[0501] "Distributed ledger technology" refers to technologies, including blockchain, that publicly store and maintain the integrity of transaction data.

[0502] This invention is a system for users to create, nurture, and manage virtual entities. This system automatically generates virtual entities based on user input by utilizing a generative AI model installed on a cloud-based server. Users access the system through a terminal and select basic information about the virtual entity, such as its appearance, voice, and personality.

[0503] The server receives information entered by the user from the terminal and sends it to the generative AI model as a prompt. The generative AI model generates a prototype of a virtual entity according to the prompt. For example, if the user requests a character with "blue hair, a cheerful personality, and a high-pitched voice," the server creates a prompt that reflects this request, and the model generates the character. The generated character's visual and voice samples are presented to the user through the terminal.

[0504] Users can review the generated virtual entity and perform further customizations via their device. The server reapplies the model and adjusts the character based on user feedback. Once the virtual entity is complete, users can begin interacting with it through their device and enjoy daily interactions.

[0505] The system includes a feature that provides a development plan for virtual beings, allowing users to improve their skills and abilities by selecting growth tasks and events. For example, one scenario involves a virtual being participating in a virtual music concert to improve its singing skills.

[0506] Furthermore, the server can deploy virtual entities in virtual spaces and social networks, and manage them according to schedules set by the user. The activities of virtual entities are managed in real time, and activity information can be shared with other users.

[0507] Finally, this system allows cultivated virtual entities to be registered as irreplaceable digital certificates using distributed ledger technology. This enables users to exchange or trade virtual entities with other users and enjoy their value.

[0508] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0509] Step 1:

[0510] The user uses a terminal to input basic information about the virtual entity, such as its appearance, voice, and personality. The entered data is then structured and ready to be sent to the server. As a concrete example, a user might request a character with "blue hair, a cheerful personality, and a high-pitched voice."

[0511] Step 2:

[0512] The terminal sends user input data to the server. Based on this transmitted data, the server creates prompt statements for the generated AI model. These prompt statements describe in detail the characteristics of the virtual entity to be generated.

[0513] Step 3:

[0514] The server invokes the generative AI model and provides the created prompt statement as input. Based on this prompt statement, the AI ​​model generates a prototype of a virtual entity. The output is a visual and audio sample of the virtual entity.

[0515] Step 4:

[0516] The server sends the generated virtual entity's visual and audio samples to the terminal and presents them to the user. The user can see the results through the screen and audio, and as a concrete action, they can actually see the character's appearance and voice.

[0517] Step 5:

[0518] Users can view a prototype of the virtual entity generated through their device and perform further customizations. Upon entering any necessary changes, those changes are sent back to the server.

[0519] Step 6:

[0520] The server receives customization feedback from the user and runs the generated AI model again to adjust the virtual entity. This generates a final character that better matches the user's requirements.

[0521] Step 7:

[0522] The server presents a development plan for the virtual entity, with final adjustments completed. The user then selects development tasks and events via their device to promote the virtual entity's growth. Examples include having the virtual entity participate in a virtual music concert.

[0523] Step 8:

[0524] The process of deploying the virtual entity across multiple virtual spaces and social networks begins. The server manages real-time interactions and prepares the character to participate in various activities according to the user-set schedule.

[0525] Step 9:

[0526] Finally, the server registers the trained characters as irreplaceable digital certificates using distributed ledger technology. Users can then exchange or trade their completed characters with other users to maximize their value.

[0527] (Application Example 1)

[0528] 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."

[0529] Modern entertainment demands personalized experiences for users. However, existing systems struggle to dynamically generate narratives and content that users can participate in and interact with through their virtual characters. Furthermore, there are shortcomings in the exchange of economic value and interaction between users using virtual characters. Given these issues, there is a need to provide different experiences for each user and realize new value through the use of virtual characters.

[0530] 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.

[0531] In this invention, the server includes means for automatically generating the appearance, voice, and personality of a virtual character based on user input, utilizing artificial intelligence; means for the user to cultivate and manage the generated virtual character through interaction with the character; and means for providing a personalized visual and auditory experience by having the user-generated virtual character participate in dynamically generated stories and content. This enables the provision of a unique interactive entertainment experience for each user, as well as the creation of new economic value through virtual characters.

[0532] "User input" refers to the information and instructions that users provide to the system, and it forms the basis for the creation and management of virtual characters.

[0533] Artificial intelligence is a technology that enables computer programs to perform human-like perceptions and judgments, and plays a crucial role in the creation and development of virtual characters.

[0534] A "virtual character" is a model of a fictional person or creature generated within a digital environment, which users can customize and include in their experiences.

[0535] "Training" refers to the specific actions and processes taken to improve the abilities and characteristics of a virtual character.

[0536] "Management" refers to the means and processes for systematically controlling and optimizing the growth and activities of a virtual character.

[0537] "Real-time" refers to the ability to respond immediately to user actions and events, and is a necessary characteristic for virtual characters to interact realistically with others.

[0538] A "non-fungible token" is a unique digital asset protected on the blockchain, providing a foundation for virtual characters to have their own value and be traded.

[0539] A "dynamically generated story" is a flexible narrative that changes its development depending on the user's choices and the characteristics of the virtual character.

[0540] A "personalized visual and auditory experience" refers to an experience that provides a unique sense of immersion through the provision of special visuals and audio based on the user's preferences and choices.

[0541] This system allows users to create, develop, and manage virtual characters. The system operates on a cloud server and utilizes a generation AI model to automatically generate virtual characters based on user input.

[0542] Users access the system using their devices and select the basic appearance, personality, and voice characteristics of their character. The server analyzes this input information and builds a prototype of the character using a generative AI model. The generated virtual character is presented to the user as a preview, and the user can customize the details as needed.

[0543] The generated virtual characters can participate in dynamically generated stories and content based on user instructions. The server generates the characters' actions and dialogue according to the scenarios and events selected by the user. In this process, the story branches and changes in real time based on the user's choices.

[0544] Furthermore, users can interact with virtual characters daily through their devices, and the server provides character growth plans. Users can improve their characters' skills and abilities through provided tasks and events. For example, one scenario is to improve a character's performance skills by having them participate in a virtual music event.

[0545] To illustrate this system in more detail, consider a scenario where a user-generated character progresses through an adventure story. The user explores the island according to the character's personality, discovering different items through specific choices and actions, which can influence the story's progression.

[0546] An example of a prompt for a generative AI model is: "Imagine an interactive story where a user-generated character explores a southern island. Depending on the character's personality, you will provide options to discover items and advance the story."

[0547] In this way, the present invention can provide users with an interactive and personalized entertainment experience centered around a virtual character.

[0548] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0549] Step 1:

[0550] Users access the system through their terminals and input information about the appearance, personality, and voice characteristics of their virtual character. This data, which embodies the user's preferences and intentions, is then sent to the server.

[0551] Step 2:

[0552] The server receives input data from the user and generates a virtual character using a generative AI model. In this process, it takes into account the attributes specified by the user, creates the visual and audio of the prototype character, and returns it to the user as a preview.

[0553] Step 3:

[0554] Users can view the character preview provided on their device and customize it as needed. If there are any further modifications, they can provide additional input based on those modifications and request the generation of the final character.

[0555] Step 4:

[0556] The server generates an adaptive storyline by updating character details based on the user's final input and applying them to dynamically generated narratives or content. During this process, the story branches depending on the user's choices and the character's characteristics.

[0557] Step 5:

[0558] Users access a story generated through their device and control a virtual character to make choices and take actions within the narrative. Feedback for each action is provided in real time, and the story changes flexibly.

[0559] Step 6:

[0560] The server records user choices and character actions, and presents a development plan for the virtual character. Based on this information, users can improve their character's skills and abilities and prepare for further storylines and events.

[0561] 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.

[0562] This invention is a system that combines an emotion engine that recognizes user emotions with artificial intelligence, providing an innovative method for generating, developing, and managing virtual characters. The embodiments thereof are described in detail below.

[0563] The system begins with the user using a terminal to start generating a virtual character. The user inputs the character's appearance, personality, and voice characteristics, and this information is sent to the server. The server applies a generation AI model based on the input data to create a prototype of the virtual character. At this point, the user is presented with a visual and voice sample of the generated character.

[0564] For example, if a user requests a "cheerful and adventurous character," the server generates a unique character profile based on those characteristics and provides realistic visual and auditory information. The user then reviews this information on their device and makes final adjustments to confirm their character.

[0565] Next, the system utilizes an emotion engine to analyze emotions through interaction with the user. For example, if the user uses actions or words that indicate interest in the character, the emotion engine analyzes that information, and the server adjusts the character's response accordingly.

[0566] Users interact with virtual characters on a daily basis via their devices and progress through their character development plans. A server equipped with an emotion engine dynamically adjusts character growth events and skill development based on the user's emotional state, providing the user with the optimal experience. For example, if a user shows supportive feelings towards a character, events that motivate that character will be prioritized.

[0567] Furthermore, the system can deploy virtual characters across multiple virtual spaces. The server manages interactions with other users in real time, and an emotion engine facilitates interactions that stimulate user emotions. In addition, the activities of virtual characters are linked to social communication networks, and their activity information is automatically shared.

[0568] Finally, the trained characters are converted into NFTs (Non-Fungible Tokens) and registered on the blockchain by the server. Users can then exchange or sell characters with other users via their devices, enabling value-added transactions that prioritize emotions.

[0569] These systems allow users to enjoy new entertainment experiences through emotionally connected interactions, rather than simply being virtual beings.

[0570] The following describes the processing flow.

[0571] Step 1:

[0572] The user accesses the system using a terminal and inputs information about the appearance, personality, and voice characteristics of the virtual character. This includes specifying the user's preferences and desired traits as options.

[0573] Step 2:

[0574] Based on user input received by the server, a generative AI model is used to automatically generate a prototype of a virtual character. Specifically, it designs a visual model of the character, generates voice samples, and sends them to the terminal.

[0575] Step 3:

[0576] The device presents the user with a visual image and voice sample of the generated character. The user reviews it and provides instructions for customization as needed. The server receives these modification instructions in real time and adjusts the character model accordingly.

[0577] Step 4:

[0578] The user begins interacting with their chosen character and selects a training plan. The emotion engine monitors the user's emotional state through the device.

[0579] Step 5:

[0580] The server uses an emotion engine to analyze the user's emotions and dynamically adjusts the virtual character's dialogue and responses based on the user's feelings. For example, if the user is excited, the character will respond in an energetic manner.

[0581] Step 6:

[0582] Users engage in daily interactions with characters through their devices and experience character development events suggested by the system. The server updates character growth parameters and events in real time based on the user's emotional data.

[0583] Step 7:

[0584] The server deploys characters in the virtual space and activates interaction between users. The emotion engine analyzes the emotions of users during interaction in real time and optimizes the interaction.

[0585] Step 8:

[0586] Through the device, the activities of the virtual character are linked to social communication networks, and activity information is automatically shared. Content that reflects the user's emotions is disseminated, deepening the relationship with followers.

[0587] Step 9:

[0588] The server converts the characters that have been trained into non-fungible tokens (NFTs) and registers them on the blockchain. Users can exchange or sell these NFTs with other users, trading them with individual values ​​based on sentiment.

[0589] (Example 2)

[0590] 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."

[0591] In the modern era, virtual characters are no longer merely digital entities; they are expected to deepen emotional connections with users through interaction. However, traditional methods have limitations in the creation and development of these characters, making it difficult to achieve character growth and interaction that dynamically reflects users' emotions and desires. Furthermore, there is a need to provide effective means to expand the activities of generated virtual characters more broadly and in real time, and to facilitate valuable interactions and transactions.

[0592] 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.

[0593] In this invention, the server includes means for dynamically generating the appearance, voice, and personality of a virtual character based on user input information using a machine learning algorithm; means for nurturing and managing the character through user interaction with the generated virtual character; and means for analyzing the user's emotions and dynamically adjusting the virtual character's responses based on the results. This allows users to enjoy the process of generating and nurturing an emotionally resonant virtual character, and to have a deeper entertainment experience through real-time interaction with the virtual character.

[0594] "User input information" refers to data provided by the user regarding appearance, voice, and personality necessary for generating a virtual character.

[0595] A "machine learning algorithm" is a method that learns from large amounts of data, extracts patterns from it, and performs predictions and classifications.

[0596] A "virtual character" refers to a character or avatar created in digital space that possesses appearance and behavioral characteristics.

[0597] "Means of dynamic generation" refers to methods and systems for generating digital content in real time according to user specifications.

[0598] "Means of nurturing and managing through interaction with users" refers to technologies and methods that enable virtual characters to grow and change through interaction with users.

[0599] "Methods for analyzing emotions" refer to technologies that read and understand emotions from a user's facial expressions, voice, text data, etc.

[0600] "Means for dynamically adjusting the responses of virtual characters" refers to methods and technologies that change a character's reactions and expressions in real time based on the results of emotion analysis.

[0601] This invention is implemented with a configuration centered around a user-operated terminal and a server connected to it. The system provides a method for generating and managing virtual characters, primarily using a generative AI model and an emotion engine. The user uses the terminal to input initial data such as the appearance, personality, and voice characteristics of the virtual character. This information is transmitted from the terminal to the server, which then uses machine learning algorithms to generate a prototype based on that data.

[0602] The server utilizes a generative AI model to dynamically construct the visual and auditory characteristics of a virtual character in response to user requests. This enables the creation of characters tailored to individual needs in the digital space. Specific software used includes deep learning frameworks (such as TensorFlow and PyTorch).

[0603] Users can continuously interact with virtual characters generated through their devices, and in the process, they can nurture and manage these characters. An emotion engine analyzes the user's emotions, and the server adjusts the virtual character's responses based on that data. This dynamic adjustment ensures the virtual character responds optimally to the user, providing a more natural conversational experience.

[0604] As a concrete example, if a user enters a prompt requesting the creation of an "adventurous and cheerful character" in the format "cheerful and adventurous character," the server will generate a character that reflects those characteristics.

[0605] Furthermore, the generated virtual characters are digitized as non-fungible tokens (NFTs) and registered using blockchain technology. This allows users to trade virtual characters with other users via their devices, creating a digital ecosystem with emotional value.

[0606] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0607] Step 1:

[0608] The user begins generating a virtual character using their device. The user inputs characteristics such as "cheerful and adventurous character" as a prompt, and then enters detailed information such as appearance, voice, and personality into the device. This input information is sent to the server as a data package.

[0609] Input: Prompt text, person's characteristics information

[0610] Output: Data package sent to the server

[0611] Step 2:

[0612] The server analyzes the data package received from the terminal and generates a prototype of a virtual character using a generative AI model. Specifically, a machine learning algorithm designs the character's visual and vocal characteristics based on the prompt text, and the server then constructs it visually and aurally.

[0613] Input: Data package

[0614] Output: Prototype of a virtual character (visual and audio samples of the virtual character)

[0615] Step 3:

[0616] The server sends the generated prototype's visual and audio samples to the terminal. The terminal then presents this to the user and provides an interface for review and modification. Specifically, it creates a system where the user can input modifications such as "I want a brighter voice."

[0617] Input: Prototype of a virtual character

[0618] Output: User confirmation and correction instructions

[0619] Step 4:

[0620] If the user enters correction instructions, the terminal sends that information back to the server. The server then uses this information to reapply the generated AI model and create the final version of the virtual character. In terms of operation, analysis is performed based on the prompt text and the user's instructions.

[0621] Input: Correction Instructions

[0622] Output: Final virtual character

[0623] Step 5:

[0624] The user initiates an interaction with a virtual character through their device. The server uses an emotion engine to analyze the user's reactions and statements in real time and dynamically adjust the character's responses. Specifically, the server analyzes the user's emotions and generates scenarios in which the virtual character responds based on the results.

[0625] Input: User interaction content

[0626] Output: Sentiment analysis results, virtual character's response

[0627] Step 6:

[0628] The server dynamically adjusts character growth and events based on emotion analysis, providing a new experience. Users are guided through their devices to the most suitable growth events and skill development.

[0629] Input: Sentiment analysis results

[0630] Output: Growth events, skill development guide

[0631] Step 7:

[0632] Ultimately, the generated virtual characters are registered as digital assets using distributed ledger technology. Users can trade characters with other users via their terminals. The server manages this process, enabling the exchange and buying / selling of digital assets.

[0633] Input: Final virtual character

[0634] Output: Digital asset registration, tradable status

[0635] (Application Example 2)

[0636] 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."

[0637] In home automation devices and other consumer electronics, there is a need to improve usability by enhancing the ability to respond to users' emotions in a personalized way, thereby creating unprecedented personalized experiences. Furthermore, a challenge is to provide systems that allow these devices to respond dynamically based on user emotions and support the development of healthy interpersonal relationships.

[0638] 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.

[0639] In this invention, the server includes means for applying user-emotion-based customization to a home automation device using an emotion engine that analyzes the user's emotions, means for automatically generating the appearance, voice, and personality of a virtual character using artificial intelligence, and means for the user to raise and manage the generated virtual character through interaction with the character. This enables the home automation device to operate in accordance with the user's emotions, providing a personalized experience and better usability.

[0640] "User input" refers to the information and instructions that users provide to the system, and is used to customize things like the character's appearance, voice, and personality.

[0641] "Artificial intelligence" refers to technology that enables computers and robots to mimic human intellectual activity and perform learning and decision-making, and it is used in the creation of virtual characters.

[0642] A "virtual character" refers to a fictional person or creature generated on a computer that enables interaction with the user.

[0643] An "emotion engine" refers to a technology that analyzes a user's emotions and adjusts the system's actions and responses accordingly.

[0644] "Home automation devices" refer to equipment used in the home to automate everyday tasks and are capable of responding based on the user's emotions.

[0645] A "non-fungible token" refers to a token that uses blockchain technology to guarantee the uniqueness of a digital asset and is used for the exchange and trading of virtual characters.

[0646] To realize this invention, it is necessary to build a system that generates a virtual character based on user input and applies it to a home automation device. In implementing this system, a terminal collects user input and sends this information to a server. The server automatically generates the appearance, voice, and personality of the virtual character using a generative AI model. This is done using Python programs and language processing APIs (e.g., Google Cloud Natural Language API).

[0647] The emotion engine analyzes the user's emotional state from their input and customizes the functions and responses of home automation devices based on the results. This customization process adjusts the behavior of a robot used in a home, for example, so that it exhibits different personality traits depending on the user's emotions. Specifically, if the user inputs "I'm tired today," the robot is programmed to take actions to create a relaxing atmosphere.

[0648] To maximize the effectiveness of this invention, users can nurture a virtual character through interaction. This is because the character's growth is directly linked to the user's emotional input. Ultimately, this virtual character is registered as a nonfungible token (NFT), which can be exchanged and traded with other users.

[0649] An example of a prompt message is: "Generate a robot with a specific personality based on the emotions expressed by the user. Personality: Gentle, Voice tone: Calm, Situation: To support a tired user." This provides a character and functionality that suits the user's specific needs.

[0650] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0651] Step 1:

[0652] The user initiates the creation of a virtual character using a terminal. The terminal collects information entered by the user (character's appearance, personality, and voice characteristics) and sends it to the server. The input data includes the user's requests and individual customization information.

[0653] Step 2:

[0654] The server generates a virtual character using a generative AI model based on the received user input. During this process, the input data is preprocessed and converted to an appropriate format before being input into the AI ​​model. The generated character is output as visual data and audio samples and presented to the user.

[0655] Step 3:

[0656] The user reviews the generated character and makes any necessary adjustments via their device. The server then re-analyzes the user's feedback and makes final adjustments to the character. During this process, the server receives the user's detailed modification instructions as data and incorporates them into the character.

[0657] Step 4:

[0658] The server uses an emotion engine to analyze the user's emotions. It inputs user dialogue and behavioral data into the emotion engine to determine the user's emotional state. Based on the analysis results, it applies character personalities and behavior settings to the home automation device.

[0659] Step 5:

[0660] Users engage in daily interactions with characters and progress through their development plans. The server uses the interaction data and real-time feedback from an emotion engine to adjust the character's growth events. This ensures that the character responds appropriately to the user's emotions.

[0661] Step 6:

[0662] The generated virtual characters are registered as non-fungible tokens. The server registers the character data on the blockchain, making it tradable. This allows users to exchange or sell characters with other users.

[0663] 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.

[0664] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0665] 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.

[0666] [Fourth Embodiment]

[0667] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0668] 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.

[0669] 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).

[0670] 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.

[0671] 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.

[0672] 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).

[0673] 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.

[0674] 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.

[0675] 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.

[0676] 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.

[0677] 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.

[0678] 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.

[0679] 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".

[0680] This invention is a system for users to create, raise, and manage virtual characters, integrating multiple elements to provide users with a new entertainment experience. The following describes its specific embodiments.

[0681] This system uses a generative AI model running on a cloud server to automatically generate virtual characters based on user input. Users access the system using a terminal and select the character's basic appearance, personality, and voice characteristics. The server then builds a character prototype based on this input and presents the user with a visual and audio sample of the generated character. The user can then review and customize it as needed.

[0682] As an example, consider a case where a user requests a character with blue hair and a cheerful personality. The server generates a character model based on this request and provides the user with a preview. The user can then further adjust the details until they are satisfied with the result.

[0683] After creating a character, the user begins daily interactions with the character through their device. The server provides a character development plan and presents tasks and events to improve performance and skills. For example, the character's singing skills can be improved by working on a scenario where they participate in a virtual music concert.

[0684] Furthermore, the system also has the ability to deploy virtual characters across multiple virtual spaces and social communication networks. The server manages the characters' activities in the virtual space in real time and has them participate in events according to schedules set by the user. It can also share the characters' activities through social media, enhancing interaction with fans.

[0685] Finally, the developed characters are converted into non-fungible tokens (NFTs) and registered on the blockchain by the server. This allows users to exchange or sell their characters with other users, thereby realizing the economic value of their virtual characters.

[0686] This system will allow users to expand their creative expression through virtual characters and experience new forms of entertainment.

[0687] The following describes the processing flow.

[0688] Step 1:

[0689] The user accesses the system using their device to begin generating a virtual character and enters their preferences regarding the character's appearance, personality, and voice characteristics. This input includes specifying options based on specific requests and preferences.

[0690] Step 2:

[0691] Based on the user input information received by the server, a generation AI model is used to automatically generate a prototype of a virtual character. A digital model and voice samples are generated according to the appearance, voice, and personality, and this data is sent to the terminal.

[0692] Step 3:

[0693] Users can view the character's visuals and voice samples displayed on their device and customize them as needed. The server receives user feedback in real time and makes adjustments to finalize the character to meet the user's preferences.

[0694] Step 4:

[0695] The user selects a development plan for their virtual character and begins interacting with the character through their device. The server generates and presents tasks and events to the user to promote the character's growth based on the development plan. These include skills the character will acquire and goals they will achieve.

[0696] Step 5:

[0697] Based on user input, the device interacts with the character and reports its progress and results to the server. The server uses this information to update the character's growth parameters and provide necessary feedback.

[0698] Step 6:

[0699] The server deploys virtual characters to designated virtual spaces and social communication networks and manages their activities in real time. Users plan events and schedule the participation of their characters in the virtual space.

[0700] Step 7:

[0701] The server converts the characters it has trained into non-fungible tokens (NFTs) and registers them on the blockchain. Users can exchange or sell characters with other users via their devices and complete transactions.

[0702] (Example 1)

[0703] 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".

[0704] In modern society, the demand for digital entertainment is increasing, and there is a need to provide users with personalized character experiences. However, traditional methods require a tremendous amount of time and effort to create and manage characters, and there is a lack of interfaces that allow users to easily manage their characters. Therefore, there is a need for a system that allows users to easily and efficiently create virtual characters, develop them, and utilize them in various virtual spaces.

[0705] 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.

[0706] In this invention, the server includes means for automatically generating the appearance, voice, and personality of a virtual entity by utilizing a generative model based on input provided by the user via a terminal; means for the user to interact with the generated virtual entity using a terminal, and to raise and manage it; and means for deploying the virtual entity in multiple virtual spaces and enabling real-time interaction with other users. This makes it possible for users to easily generate and raise virtual characters, utilize them in a variety of virtual environments, and smoothly interact with other users.

[0707] A "user" is an individual who uses the system to create virtual entities and to nurture and manage them.

[0708] A "terminal" is a computer device used by a user to access a system and is a device that receives input from the user.

[0709] A "generative model" is an artificial intelligence algorithm used to automatically generate virtual entities based on user input.

[0710] A "virtual entity" refers to a digital character created by a user, a digital object that possesses an appearance, voice, and personality.

[0711] "Cultivation and management" refers to the process of promoting the growth of user-generated virtual entities and improving their abilities and characteristics.

[0712] A "virtual space" is a digital environment accessible via the internet, and a realm where virtual entities operate.

[0713] "Interaction" refers to the process by which virtual entities interact with other users or other virtual entities in a virtual space.

[0714] An "irreplaceable digital certificate" is a form of digital asset managed using blockchain technology, possessing a unique and non-exchangeable value.

[0715] "Distributed ledger technology" refers to technologies, including blockchain, that publicly store and maintain the integrity of transaction data.

[0716] This invention is a system for users to create, nurture, and manage virtual entities. This system automatically generates virtual entities based on user input by utilizing a generative AI model installed on a cloud-based server. Users access the system through a terminal and select basic information about the virtual entity, such as its appearance, voice, and personality.

[0717] The server receives information entered by the user from the terminal and sends it to the generative AI model as a prompt. The generative AI model generates a prototype of a virtual entity according to the prompt. For example, if the user requests a character with "blue hair, a cheerful personality, and a high-pitched voice," the server creates a prompt that reflects this request, and the model generates the character. The generated character's visual and voice samples are presented to the user through the terminal.

[0718] Users can review the generated virtual entity and perform further customizations via their device. The server reapplies the model and adjusts the character based on user feedback. Once the virtual entity is complete, users can begin interacting with it through their device and enjoy daily interactions.

[0719] The system includes a feature that provides a development plan for virtual beings, allowing users to improve their skills and abilities by selecting growth tasks and events. For example, one scenario involves a virtual being participating in a virtual music concert to improve its singing skills.

[0720] Furthermore, the server can deploy virtual entities in virtual spaces and social networks, and manage them according to schedules set by the user. The activities of virtual entities are managed in real time, and activity information can be shared with other users.

[0721] Finally, this system allows cultivated virtual entities to be registered as irreplaceable digital certificates using distributed ledger technology. This enables users to exchange or trade virtual entities with other users and enjoy their value.

[0722] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0723] Step 1:

[0724] The user uses a terminal to input basic information about the virtual entity, such as its appearance, voice, and personality. The entered data is then structured and ready to be sent to the server. As a concrete example, a user might request a character with "blue hair, a cheerful personality, and a high-pitched voice."

[0725] Step 2:

[0726] The terminal sends user input data to the server. Based on this transmitted data, the server creates prompt statements for the generated AI model. These prompt statements describe in detail the characteristics of the virtual entity to be generated.

[0727] Step 3:

[0728] The server invokes the generative AI model and provides the created prompt statement as input. Based on this prompt statement, the AI ​​model generates a prototype of a virtual entity. The output is a visual and audio sample of the virtual entity.

[0729] Step 4:

[0730] The server sends the generated virtual entity's visual and audio samples to the terminal and presents them to the user. The user can see the results through the screen and audio, and as a concrete action, they can actually see the character's appearance and voice.

[0731] Step 5:

[0732] Users can view a prototype of the virtual entity generated through their device and perform further customizations. Upon entering any necessary changes, those changes are sent back to the server.

[0733] Step 6:

[0734] The server receives customization feedback from the user and runs the generated AI model again to adjust the virtual entity. This generates a final character that better matches the user's requirements.

[0735] Step 7:

[0736] The server presents a development plan for the virtual entity, with final adjustments completed. The user then selects development tasks and events via their device to promote the virtual entity's growth. Examples include having the virtual entity participate in a virtual music concert.

[0737] Step 8:

[0738] The process of deploying the virtual entity across multiple virtual spaces and social networks begins. The server manages real-time interactions and prepares the character to participate in various activities according to the user-set schedule.

[0739] Step 9:

[0740] Finally, the server registers the trained characters as irreplaceable digital certificates using distributed ledger technology. Users can then exchange or trade their completed characters with other users to maximize their value.

[0741] (Application Example 1)

[0742] 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".

[0743] Modern entertainment demands personalized experiences for users. However, existing systems struggle to dynamically generate narratives and content that users can participate in and interact with through their virtual characters. Furthermore, there are shortcomings in the exchange of economic value and interaction between users using virtual characters. Given these issues, there is a need to provide different experiences for each user and realize new value through the use of virtual characters.

[0744] 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.

[0745] In this invention, the server includes means for automatically generating the appearance, voice, and personality of a virtual character based on user input, utilizing artificial intelligence; means for the user to cultivate and manage the generated virtual character through interaction with the character; and means for providing a personalized visual and auditory experience by having the user-generated virtual character participate in dynamically generated stories and content. This enables the provision of a unique interactive entertainment experience for each user, as well as the creation of new economic value through virtual characters.

[0746] "User input" refers to the information and instructions that users provide to the system, and it forms the basis for the creation and management of virtual characters.

[0747] Artificial intelligence is a technology that enables computer programs to perform human-like perceptions and judgments, and plays a crucial role in the creation and development of virtual characters.

[0748] A "virtual character" is a model of a fictional person or creature generated within a digital environment, which users can customize and include in their experiences.

[0749] "Training" refers to the specific actions and processes taken to improve the abilities and characteristics of a virtual character.

[0750] "Management" refers to the means and processes for systematically controlling and optimizing the growth and activities of a virtual character.

[0751] "Real-time" refers to the ability to respond immediately to user actions and events, and is a necessary characteristic for virtual characters to interact realistically with others.

[0752] A "non-fungible token" is a unique digital asset protected on the blockchain, providing a foundation for virtual characters to have their own value and be traded.

[0753] A "dynamically generated story" is a flexible narrative that changes its development depending on the user's choices and the characteristics of the virtual character.

[0754] A "personalized visual and auditory experience" refers to an experience that provides a unique sense of immersion through the provision of special visuals and audio based on the user's preferences and choices.

[0755] This system allows users to create, develop, and manage virtual characters. The system operates on a cloud server and utilizes a generation AI model to automatically generate virtual characters based on user input.

[0756] Users access the system using their devices and select the basic appearance, personality, and voice characteristics of their character. The server analyzes this input information and builds a prototype of the character using a generative AI model. The generated virtual character is presented to the user as a preview, and the user can customize the details as needed.

[0757] The generated virtual characters can participate in dynamically generated stories and content based on user instructions. The server generates the characters' actions and dialogue according to the scenarios and events selected by the user. In this process, the story branches and changes in real time based on the user's choices.

[0758] Furthermore, users can interact with virtual characters daily through their devices, and the server provides character growth plans. Users can improve their characters' skills and abilities through provided tasks and events. For example, one scenario is to improve a character's performance skills by having them participate in a virtual music event.

[0759] To illustrate this system in more detail, consider a scenario where a user-generated character progresses through an adventure story. The user explores the island according to the character's personality, discovering different items through specific choices and actions, which can influence the story's progression.

[0760] An example of a prompt for a generative AI model is: "Imagine an interactive story where a user-generated character explores a southern island. Depending on the character's personality, you will provide options to discover items and advance the story."

[0761] In this way, the present invention can provide users with an interactive and personalized entertainment experience centered around a virtual character.

[0762] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0763] Step 1:

[0764] Users access the system through their terminals and input information about the appearance, personality, and voice characteristics of their virtual character. This data, which embodies the user's preferences and intentions, is then sent to the server.

[0765] Step 2:

[0766] The server receives input data from the user and generates a virtual character using a generative AI model. In this process, it takes into account the attributes specified by the user, creates the visual and audio of the prototype character, and returns it to the user as a preview.

[0767] Step 3:

[0768] Users can view the character preview provided on their device and customize it as needed. If there are any further modifications, they can provide additional input based on those modifications and request the generation of the final character.

[0769] Step 4:

[0770] The server generates an adaptive storyline by updating character details based on the user's final input and applying them to dynamically generated narratives or content. During this process, the story branches depending on the user's choices and the character's characteristics.

[0771] Step 5:

[0772] Users access a story generated through their device and control a virtual character to make choices and take actions within the narrative. Feedback for each action is provided in real time, and the story changes flexibly.

[0773] Step 6:

[0774] The server records user choices and character actions, and presents a development plan for the virtual character. Based on this information, users can improve their character's skills and abilities and prepare for further storylines and events.

[0775] 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.

[0776] This invention is a system that combines an emotion engine that recognizes user emotions with artificial intelligence, providing an innovative method for generating, developing, and managing virtual characters. The embodiments thereof are described in detail below.

[0777] The system begins with the user using a terminal to start generating a virtual character. The user inputs the character's appearance, personality, and voice characteristics, and this information is sent to the server. The server applies a generation AI model based on the input data to create a prototype of the virtual character. At this point, the user is presented with a visual and voice sample of the generated character.

[0778] For example, if a user requests a "cheerful and adventurous character," the server generates a unique character profile based on those characteristics and provides realistic visual and auditory information. The user then reviews this information on their device and makes final adjustments to confirm their character.

[0779] Next, the system utilizes an emotion engine to analyze emotions through interaction with the user. For example, if the user uses actions or words that indicate interest in the character, the emotion engine analyzes that information, and the server adjusts the character's response accordingly.

[0780] Users interact with virtual characters on a daily basis via their devices and progress through their character development plans. A server equipped with an emotion engine dynamically adjusts character growth events and skill development based on the user's emotional state, providing the user with the optimal experience. For example, if a user shows supportive feelings towards a character, events that motivate that character will be prioritized.

[0781] Furthermore, the system can deploy virtual characters across multiple virtual spaces. The server manages interactions with other users in real time, and an emotion engine facilitates interactions that stimulate user emotions. In addition, the activities of virtual characters are linked to social communication networks, and their activity information is automatically shared.

[0782] Finally, the trained characters are converted into NFTs (Non-Fungible Tokens) and registered on the blockchain by the server. Users can then exchange or sell characters with other users via their devices, enabling value-added transactions that prioritize emotions.

[0783] These systems allow users to enjoy new entertainment experiences through emotionally connected interactions, rather than simply being virtual beings.

[0784] The following describes the processing flow.

[0785] Step 1:

[0786] The user accesses the system using a terminal and inputs information about the appearance, personality, and voice characteristics of the virtual character. This includes specifying the user's preferences and desired traits as options.

[0787] Step 2:

[0788] Based on user input received by the server, a generative AI model is used to automatically generate a prototype of a virtual character. Specifically, it designs a visual model of the character, generates voice samples, and sends them to the terminal.

[0789] Step 3:

[0790] The device presents the user with a visual image and voice sample of the generated character. The user reviews it and provides instructions for customization as needed. The server receives these modification instructions in real time and adjusts the character model accordingly.

[0791] Step 4:

[0792] The user begins interacting with their chosen character and selects a training plan. The emotion engine monitors the user's emotional state through the device.

[0793] Step 5:

[0794] The server uses an emotion engine to analyze the user's emotions and dynamically adjusts the virtual character's dialogue and responses based on the user's feelings. For example, if the user is excited, the character will respond in an energetic manner.

[0795] Step 6:

[0796] Users engage in daily interactions with characters through their devices and experience character development events suggested by the system. The server updates character growth parameters and events in real time based on the user's emotional data.

[0797] Step 7:

[0798] The server deploys characters in the virtual space and activates interaction between users. The emotion engine analyzes the emotions of users during interaction in real time and optimizes the interaction.

[0799] Step 8:

[0800] Through the device, the activities of the virtual character are linked to social communication networks, and activity information is automatically shared. Content that reflects the user's emotions is disseminated, deepening the relationship with followers.

[0801] Step 9:

[0802] The server converts the characters that have been trained into non-fungible tokens (NFTs) and registers them on the blockchain. Users can exchange or sell these NFTs with other users, trading them with individual values ​​based on sentiment.

[0803] (Example 2)

[0804] 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".

[0805] In the modern era, virtual characters are no longer merely digital entities; they are expected to deepen emotional connections with users through interaction. However, traditional methods have limitations in the creation and development of these characters, making it difficult to achieve character growth and interaction that dynamically reflects users' emotions and desires. Furthermore, there is a need to provide effective means to expand the activities of generated virtual characters more broadly and in real time, and to facilitate valuable interactions and transactions.

[0806] 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.

[0807] In this invention, the server includes means for dynamically generating the appearance, voice, and personality of a virtual character based on user input information using a machine learning algorithm; means for nurturing and managing the character through user interaction with the generated virtual character; and means for analyzing the user's emotions and dynamically adjusting the virtual character's responses based on the results. This allows users to enjoy the process of generating and nurturing an emotionally resonant virtual character, and to have a deeper entertainment experience through real-time interaction with the virtual character.

[0808] "User input information" refers to data provided by the user regarding appearance, voice, and personality necessary for generating a virtual character.

[0809] A "machine learning algorithm" is a method that learns from large amounts of data, extracts patterns from it, and performs predictions and classifications.

[0810] A "virtual character" refers to a character or avatar created in digital space that possesses appearance and behavioral characteristics.

[0811] "Means of dynamic generation" refers to methods and systems for generating digital content in real time according to user specifications.

[0812] "Means of nurturing and managing through interaction with users" refers to technologies and methods that enable virtual characters to grow and change through interaction with users.

[0813] "Methods for analyzing emotions" refer to technologies that read and understand emotions from a user's facial expressions, voice, text data, etc.

[0814] "Means for dynamically adjusting the responses of virtual characters" refers to methods and technologies that change a character's reactions and expressions in real time based on the results of emotion analysis.

[0815] This invention is implemented with a configuration centered around a user-operated terminal and a server connected to it. The system provides a method for generating and managing virtual characters, primarily using a generative AI model and an emotion engine. The user uses the terminal to input initial data such as the appearance, personality, and voice characteristics of the virtual character. This information is transmitted from the terminal to the server, which then uses machine learning algorithms to generate a prototype based on that data.

[0816] The server utilizes a generative AI model to dynamically construct the visual and auditory characteristics of a virtual character in response to user requests. This enables the creation of characters tailored to individual needs in the digital space. Specific software used includes deep learning frameworks (such as TensorFlow and PyTorch).

[0817] Users can continuously interact with virtual characters generated through their devices, and in the process, they can nurture and manage these characters. An emotion engine analyzes the user's emotions, and the server adjusts the virtual character's responses based on that data. This dynamic adjustment ensures the virtual character responds optimally to the user, providing a more natural conversational experience.

[0818] As a concrete example, if a user enters a prompt requesting the creation of an "adventurous and cheerful character" in the format "cheerful and adventurous character," the server will generate a character that reflects those characteristics.

[0819] Furthermore, the generated virtual characters are digitized as non-fungible tokens (NFTs) and registered using blockchain technology. This allows users to trade virtual characters with other users via their devices, creating a digital ecosystem with emotional value.

[0820] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0821] Step 1:

[0822] The user begins generating a virtual character using their device. The user inputs characteristics such as "cheerful and adventurous character" as a prompt, and then enters detailed information such as appearance, voice, and personality into the device. This input information is sent to the server as a data package.

[0823] Input: Prompt text, person's characteristics information

[0824] Output: Data package sent to the server

[0825] Step 2:

[0826] The server analyzes the data package received from the terminal and generates a prototype of a virtual character using a generative AI model. Specifically, a machine learning algorithm designs the character's visual and vocal characteristics based on the prompt text, and the server then constructs it visually and aurally.

[0827] Input: Data package

[0828] Output: Prototype of a virtual character (visual and audio samples of the virtual character)

[0829] Step 3:

[0830] The server sends the generated prototype's visual and audio samples to the terminal. The terminal then presents this to the user and provides an interface for review and modification. Specifically, it creates a system where the user can input modifications such as "I want a brighter voice."

[0831] Input: Prototype of a virtual character

[0832] Output: User confirmation and correction instructions

[0833] Step 4:

[0834] If the user enters correction instructions, the terminal sends that information back to the server. The server then uses this information to reapply the generated AI model and create the final version of the virtual character. In terms of operation, analysis is performed based on the prompt text and the user's instructions.

[0835] Input: Correction Instructions

[0836] Output: Final virtual character

[0837] Step 5:

[0838] The user initiates an interaction with a virtual character through their device. The server uses an emotion engine to analyze the user's reactions and statements in real time and dynamically adjust the character's responses. Specifically, the server analyzes the user's emotions and generates scenarios in which the virtual character responds based on the results.

[0839] Input: User interaction content

[0840] Output: Sentiment analysis results, virtual character's response

[0841] Step 6:

[0842] The server dynamically adjusts character growth and events based on emotion analysis, providing a new experience. Users are guided through their devices to the most suitable growth events and skill development.

[0843] Input: Sentiment analysis results

[0844] Output: Growth events, skill development guide

[0845] Step 7:

[0846] Ultimately, the generated virtual characters are registered as digital assets using distributed ledger technology. Users can trade characters with other users via their terminals. The server manages this process, enabling the exchange and buying / selling of digital assets.

[0847] Input: Final virtual character

[0848] Output: Digital asset registration, tradable status

[0849] (Application Example 2)

[0850] 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".

[0851] In home automation devices and other consumer electronics, there is a need to improve usability by enhancing the ability to respond to users' emotions in a personalized way, thereby creating unprecedented personalized experiences. Furthermore, a challenge is to provide systems that allow these devices to respond dynamically based on user emotions and support the development of healthy interpersonal relationships.

[0852] 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.

[0853] In this invention, the server includes means for applying user-emotion-based customization to a home automation device using an emotion engine that analyzes the user's emotions, means for automatically generating the appearance, voice, and personality of a virtual character using artificial intelligence, and means for the user to raise and manage the generated virtual character through interaction with the character. This enables the home automation device to operate in accordance with the user's emotions, providing a personalized experience and better usability.

[0854] "User input" refers to the information and instructions that users provide to the system, and is used to customize things like the character's appearance, voice, and personality.

[0855] "Artificial intelligence" refers to technology that enables computers and robots to mimic human intellectual activity and perform learning and decision-making, and it is used in the creation of virtual characters.

[0856] A "virtual character" refers to a fictional person or creature generated on a computer that enables interaction with the user.

[0857] An "emotion engine" refers to a technology that analyzes a user's emotions and adjusts the system's actions and responses accordingly.

[0858] "Home automation devices" refer to equipment used in the home to automate everyday tasks and are capable of responding based on the user's emotions.

[0859] A "non-fungible token" refers to a token that uses blockchain technology to guarantee the uniqueness of a digital asset and is used for the exchange and trading of virtual characters.

[0860] To realize this invention, it is necessary to build a system that generates a virtual character based on user input and applies it to a home automation device. In implementing this system, a terminal collects user input and sends this information to a server. The server automatically generates the appearance, voice, and personality of the virtual character using a generative AI model. This is done using Python programs and language processing APIs (e.g., Google Cloud Natural Language API).

[0861] The emotion engine analyzes the user's emotional state from their input and customizes the functions and responses of home automation devices based on the results. This customization process adjusts the behavior of a robot used in a home, for example, so that it exhibits different personality traits depending on the user's emotions. Specifically, if the user inputs "I'm tired today," the robot is programmed to take actions to create a relaxing atmosphere.

[0862] To maximize the effectiveness of this invention, users can nurture a virtual character through interaction. This is because the character's growth is directly linked to the user's emotional input. Ultimately, this virtual character is registered as a nonfungible token (NFT), which can be exchanged and traded with other users.

[0863] An example of a prompt message is: "Generate a robot with a specific personality based on the emotions expressed by the user. Personality: Gentle, Voice tone: Calm, Situation: To support a tired user." This provides a character and functionality that suits the user's specific needs.

[0864] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0865] Step 1:

[0866] The user initiates the creation of a virtual character using a terminal. The terminal collects information entered by the user (character's appearance, personality, and voice characteristics) and sends it to the server. The input data includes the user's requests and individual customization information.

[0867] Step 2:

[0868] The server generates a virtual character using a generative AI model based on the received user input. During this process, the input data is preprocessed and converted to an appropriate format before being input into the AI ​​model. The generated character is output as visual data and audio samples and presented to the user.

[0869] Step 3:

[0870] The user reviews the generated character and makes any necessary adjustments via their device. The server then re-analyzes the user's feedback and makes final adjustments to the character. During this process, the server receives the user's detailed modification instructions as data and incorporates them into the character.

[0871] Step 4:

[0872] The server uses an emotion engine to analyze the user's emotions. It inputs user dialogue and behavioral data into the emotion engine to determine the user's emotional state. Based on the analysis results, it applies character personalities and behavior settings to the home automation device.

[0873] Step 5:

[0874] Users engage in daily interactions with characters and progress through their development plans. The server uses the interaction data and real-time feedback from an emotion engine to adjust the character's growth events. This ensures that the character responds appropriately to the user's emotions.

[0875] Step 6:

[0876] The generated virtual characters are registered as non-fungible tokens. The server registers the character data on the blockchain, making it tradable. This allows users to exchange or sell characters with other users.

[0877] 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.

[0878] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0879] 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.

[0880] 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.

[0881] 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.

[0882] 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.

[0883] 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.

[0884] 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.

[0885] 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."

[0886] 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.

[0887] 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.

[0888] 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.

[0889] 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.

[0890] 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.

[0891] 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.

[0892] 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.

[0893] 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.

[0894] 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.

[0895] 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.

[0896] 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.

[0897] 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.

[0898] The following is further disclosed regarding the embodiments described above.

[0899] (Claim 1)

[0900] A means for automatically generating the appearance, voice, and personality of a virtual character using artificial intelligence based on user input,

[0901] A means for users to develop and manage virtual characters through interaction with the generated characters,

[0902] A means for deploying the aforementioned virtual character across multiple virtual spaces and enabling real-time interaction with other users,

[0903] A means to enable the exchange and trading of the aforementioned virtual character as a non-fungible token on the blockchain,

[0904] A system that includes this.

[0905] (Claim 2)

[0906] The system according to claim 1, comprising means for providing a virtual character development plan based on user selection and for promoting the character's growth in accordance with user instructions.

[0907] (Claim 3)

[0908] The system according to claim 1, comprising means for linking the activities of a virtual character in a virtual space with a social communication network and automatically sharing activity information.

[0909] "Example 1"

[0910] (Claim 1)

[0911] A means for automatically generating the appearance, voice, and personality of a virtual entity by utilizing a generative model based on input provided by the user via a terminal,

[0912] A means for users to interact with generated virtual entities using a terminal, and to nurture and manage them,

[0913] A means for deploying the aforementioned virtual entity across multiple virtual spaces and enabling real-time interaction with other users,

[0914] Means for enabling the exchange and trading of the aforementioned virtual entity as an irreplaceable digital certificate on distributed ledger technology,

[0915] A system that includes this.

[0916] (Claim 2)

[0917] The system according to claim 1, comprising means for providing a growth plan for a virtual entity based on user selection and for promoting its growth in accordance with user instructions.

[0918] (Claim 3)

[0919] The system according to claim 1, comprising means for linking the activities of virtual entities in a virtual space with a social interaction network and automatically sharing information about those activities.

[0920] "Application Example 1"

[0921] (Claim 1)

[0922] A means for automatically generating the appearance, voice, and personality of a virtual character using artificial intelligence based on user input,

[0923] A means for users to develop and manage virtual characters through interaction with the generated characters,

[0924] A means for deploying the aforementioned virtual character across multiple virtual spaces and enabling real-time interaction with other users,

[0925] A means to enable the exchange and trading of the aforementioned virtual character as a non-fungible token on the blockchain,

[0926] A means of providing personalized visual and auditory experiences by having users-generated virtual characters participate in dynamically generated stories and content,

[0927] A system that includes this.

[0928] (Claim 2)

[0929] The system according to claim 1, comprising means for providing a virtual character development plan based on user selection and for promoting the character's growth in accordance with user instructions.

[0930] (Claim 3)

[0931] The system according to claim 1, comprising means for linking the activities of a virtual character in a virtual space with a social communication network and automatically sharing activity information.

[0932] "Example 2 of combining an emotion engine"

[0933] (Claim 1)

[0934] A means for dynamically generating the appearance, voice, and personality of a virtual person using machine learning algorithms based on user input information,

[0935] A means of nurturing and managing a virtual character created by a user through interaction with that character,

[0936] A means for deploying the aforementioned virtual character on a multifaceted virtual domain and enabling real-time interaction with other users,

[0937] A means that enables the exchange and trading of the aforementioned virtual person as a digital asset on distributed ledger technology,

[0938] A means for analyzing the user's emotions and dynamically adjusting the virtual character's response based on the results,

[0939] A system that includes this.

[0940] (Claim 2)

[0941] The system according to claim 1, comprising means for presenting a development plan for a virtual character based on user selection information and for promoting the character's growth in accordance with user instructions.

[0942] (Claim 3)

[0943] The system according to claim 1, comprising means for automatically sharing activity information by linking the activities of virtual persons in a virtual domain with an information exchange network.

[0944] "Application example 2 when combining with an emotional engine"

[0945] (Claim 1)

[0946] A means for automatically generating the appearance, voice, and personality of a virtual character using artificial intelligence based on user input,

[0947] A means for users to develop and manage virtual characters through interaction with the generated characters,

[0948] A means of applying user-emotion-based customization to home automation devices using an emotion engine that analyzes user emotions,

[0949] A means for deploying the aforementioned virtual character across multiple virtual spaces and enabling real-time interaction with other users,

[0950] A means to enable the exchange and trading of the aforementioned virtual character as a non-fungible token on the blockchain,

[0951] A system that includes this.

[0952] (Claim 2)

[0953] The system according to claim 1, comprising means for providing a virtual character development plan based on user selection and for promoting the character's growth in accordance with user instructions.

[0954] (Claim 3)

[0955] The system according to claim 1, comprising means for linking the activities of a virtual character in a virtual space with a social communication network and automatically sharing activity information. [Explanation of Symbols]

[0956] 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 for automatically generating the appearance, voice, and personality of a virtual character using artificial intelligence based on user input, A means for users to develop and manage virtual characters through interaction with the generated characters, A means for deploying the aforementioned virtual character across multiple virtual spaces and enabling real-time interaction with other users, A means to enable the exchange and trading of the aforementioned virtual character as a non-fungible token on the blockchain, A means of providing personalized visual and auditory experiences by having users-generated virtual characters participate in dynamically generated stories and content, A system that includes this.

2. The system according to claim 1, comprising means for providing a virtual character development plan based on the user's selection and for promoting the character's growth in accordance with the user's instructions.

3. The system according to claim 1, comprising means for linking the activities of a virtual character in a virtual space with a social communication network and automatically sharing activity information.

Images