system

Abstract

We provide the system. [Solution] A means of collecting users' past online activity history and analyzing their preferences, A means for generating a personalized virtual conversational character for the user based on the analysis results, A means for displaying the generated virtual dialogue character on the user's device, Through online payments, a means to customize the appearance and personality of virtual conversational characters, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a persona chatbot control method 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 an online chat service, it is not easy for a user to find a chat partner that suits their preferences, which is a factor hindering the service utilization satisfaction and popularity. By solving this problem, it is necessary to provide a more personalized service experience and improve the service penetration rate.

Means for Solving the Problems

[0005] By collecting users' past online activity history and precisely analyzing their preferences using a generative AI model, the system generates a virtual conversational character optimized for each user. Furthermore, by displaying this character on the user's device and providing the ability to customize its appearance and personality through online payments, the system aims to improve user satisfaction.

[0006] "User" refers to an individual or legal entity that uses the system, and in particular, to anyone who wishes to interact with a virtual dialogue character in an online chat service.

[0007] "Online activity history" refers to a record of a user's digital behavior, including search history, visited websites, and click history.

[0008] "Preferences" refer to specific themes, genres, or styles that a user is particularly interested in or enjoys.

[0009] A "generative AI model" is a form of artificial intelligence that uses historical data and algorithms to generate new information and content, especially virtual characters.

[0010] A "virtual conversational character" is a digital character customized based on the user's interests and preferences, and its role is to engage in conversations with the user.

[0011] A "device" refers to electronic devices used by users to display and operate information, such as computers, smartphones, and tablets.

[0012] "Online billing" refers to a payment process conducted over the internet, used for purchasing specific services or products.

[0013] "Customization" refers to the act of changing or adjusting specific aspects of a product or service according to the user's requests or preferences. [Brief explanation of the drawing]

[0014] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying Out the Invention

[0015] 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.

[0016] First, the terms used in the following description will be explained.

[0017] In the following embodiments, a processor with a reference number (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be one type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0018] In the following embodiments, a RAM (Random Access Memory) with a reference number is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0019] In the following embodiments, a storage with a reference number is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0020] 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).

[0021] 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."

[0022] [First Embodiment]

[0023] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0024] 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.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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.

[0030] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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".

[0035] To implement this invention, a system involving three main elements—a server, a terminal, and a user—is required. The server collects the user's past online activity history and analyzes it using a generative AI model. This analysis identifies the user's preferences and generates an optimal virtual conversational character based on those preferences.

[0036] The generated virtual character is displayed on the user's device, and the user can interact with it. The device enables natural communication with the character through its user interface, and the user can customize the character's appearance and personality as needed through online payments.

[0037] For example, if a user enjoys sports, the server analyzes the user's interests using their sports-related search history and generates a character wearing a sports uniform. This character possesses extensive knowledge of sports and can enjoy discussing sports with the user.

[0038] The device provides character display and interaction functions, creating an environment that is easy for users to operate. Furthermore, it regularly sends user feedback to the server, which then uses this feedback to improve the AI ​​model. As a result, the system can adapt to the user over time, continuously providing a highly satisfying experience.

[0039] The following describes the processing flow.

[0040] Step 1:

[0041] The server collects past online activity history with the user's permission. This data includes information such as what topics the user searched for and which websites they visited.

[0042] Step 2:

[0043] The server inputs the collected historical data into an AI model to analyze user preferences. At this stage, the AI ​​model executes algorithms to identify themes and visual characteristics that the user prefers.

[0044] Step 3:

[0045] The server generates a virtual conversational character best suited to the user based on the analysis results of the AI ​​model. The generated character will have an appearance, personality, topics of conversation, and other settings tailored to the user's preferences.

[0046] Step 4:

[0047] The device displays the generated virtual character on the user's screen. The user can then begin interacting with the character through the interface.

[0048] Step 5:

[0049] Users interact with the character using their device. If further customization requests or new interests arise during the interaction, users can optionally pay online to change the character's appearance and personality.

[0050] Step 6:

[0051] The server receives user customization requests and applies the changes immediately. The character's appearance and the topics offered are updated according to the user's new requests.

[0052] Step 7:

[0053] Users submit feedback about the service they experienced via their device. This feedback is collected on a server and used to improve the service.

[0054] Step 8:

[0055] The server continuously updates its AI model based on feedback and new user data, improving the accuracy of future character generation processes. This results in a more personalized user experience and increased satisfaction.

[0056] (Example 1)

[0057] 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."

[0058] In modern society, providing digital content tailored to individual hobbies and interests is crucial, but conventional systems struggle to quickly respond to users' changing interests. Furthermore, a lack of personalized characters to provide more user-friendly interactions is a significant challenge.

[0059] 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.

[0060] In this invention, the server includes means for acquiring the user's past online activity history and identifying the user's preferences, means for constructing a virtual conversational character using a generative AI model based on the identified preferences, and means for engaging in natural conversation with the virtual conversational character based on the user's input. This enables the provision of personalized digital content and a more user-friendly experience.

[0061] "User's past online activity history" refers to records of the user's internet search history, websites accessed, content viewed, and online services used.

[0062] "Preferences" refer to specific fields, themes, or activities that a user shows interest in.

[0063] A "generative AI model" refers to an algorithm that uses artificial intelligence technology to analyze data and generate output tailored to a specific purpose.

[0064] A "virtual conversational character" refers to a digital character created on a computer and designed for the purpose of interacting with users.

[0065] A "display device" refers to hardware such as computers and smartphones that visually convey digital information to users.

[0066] "Online purchase" refers to the process of trading digital or physical goods or services over the internet.

[0067] "Evaluation information" refers to feedback provided by users regarding their user experience and the responsiveness of the system.

[0068] "The ability to adapt to the topic" refers to the virtual conversational character's ability to construct a conversation based on a specific theme or user interest and respond appropriately.

[0069] This system primarily consists of three elements: a server, a terminal, and a user, all working closely together to realize the invention. The server collects the user's past online activity history and analyzes the user's preferences based on this data. Specifically, it uses a database to securely store the user's web browser history and online service usage history on the server. Generative AI models are used for data analysis, and natural language processing technology is utilized to analyze the user's interests in detail.

[0070] Based on the analysis results, the server generates a virtual conversational character. This character generation uses an AI-based character creation tool, setting its appearance and personality according to the user's preferences. For example, for a user with a strong interest in sports, a character wearing a sports uniform will be generated and configured to have extensive knowledge of sports.

[0071] The generated virtual character is delivered to the user's device. The device displays the character using a user interface, providing an environment where the user can naturally interact with the character. By incorporating speech recognition and text analysis systems, the user can communicate with the character via voice or text and interact with it.

[0072] Users can customize their character's appearance and personality through online purchases. Furthermore, by providing feedback, the server continuously improves the AI ​​model, enhancing the character's performance and responsiveness. This feedback process allows the system to adapt to the user's individual needs over time, providing a superior user experience.

[0073] An example of a prompt message might be: "Generate an appropriate virtual conversational character based on the user's interests. For example, if the user has recently made many searches related to sports, provide a character with extensive knowledge of sports."

[0074] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0075] Step 1:

[0076] The server retrieves the user's past online activity history. This step involves collecting browser history and online service logs from a database and performing a cleansing process. The input consists of the user's unique ID and history data, and the output is organized user activity history data. Specifically, this involves deleting unnecessary data and standardizing the data format.

[0077] Step 2:

[0078] The server uses a generative AI model to identify user preferences based on collected historical data. The input is cleansed user historical data, which the AI ​​model analyzes to identify specific interest patterns. The output generates preference data indicating the user's areas of interest. Specifically, natural language processing techniques are used to extract keywords and frequently occurring topics.

[0079] Step 3:

[0080] The server generates a virtual conversational character based on identified preferences. The input is preference data, and an AI model constructs the appearance and personality of the personalized character. The output is the data of this custom character. For specific actions, character design software is used to create an avatar, and a personality based on preferences is programmed into it.

[0081] Step 4:

[0082] The server sends and displays the generated virtual character to the user's terminal. The terminal receives the character's 3D model data and action script and prepares it for display on the screen. The input is the generated character data, and the output is a character that can be visualized and manipulated on the terminal. Specifically, a graphics engine is used to display the character on the screen, making it interactive for the user.

[0083] Step 5:

[0084] The user interacts with a character on the device. This step involves voice or text interaction. The input is voice or text instructions from the user, which are analyzed by the device's voice recognition system. The output is an appropriate response from the character. Specifically, an AI dialogue engine generates responses in real time, and the character expresses those responses through voice and motion.

[0085] Step 6:

[0086] The terminal sends user feedback to the server. The input is the feedback data provided by the user, which the server receives and uses to improve the system. The output is the improved data for the AI ​​model. The specific operation includes a process of analyzing the feedback content and incorporating it into the training data for the AI ​​model.

[0087] (Application Example 1)

[0088] 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."

[0089] Currently, many brick-and-mortar stores find it difficult to provide customers with personalized service experiences. This can lead to customers not receiving information or product suggestions tailored to their preferences, potentially resulting in lower satisfaction. Furthermore, it places a significant burden on store staff, necessitating more efficient operations. In this context, it is essential to provide personalized guidance to customers, achieving both improved customer satisfaction and increased operational efficiency.

[0090] 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.

[0091] In this invention, the server includes means for collecting the user's past online activity history and analyzing the user's preferences, means for generating a personalized virtual conversational character for the user based on the analysis results, and means for guiding the user to a specific location through the device. This makes it possible to provide customers with effectively personalized guidance and improve the in-store experience.

[0092] "User's past online activity history" refers to digital data such as the user's actions on the internet, search history, and browsing history.

[0093] "Preference" refers to the individual user's likes and interests regarding specific products, services, or information.

[0094] A "virtual conversational character" is an artificial character that is displayed as a computer-generated image or avatar and has the ability to interact with the user.

[0095] A "user information display device" is an electronic device that allows a user to visually confirm information, and examples include smart glasses and personal digital assistants.

[0096] "Online billing" refers to electronic payment procedures conducted via the internet.

[0097] "Customizing appearance and personality" refers to users changing the look and behavioral characteristics of their virtual conversational character based on their choices.

[0098] "Guiding users in specific locations" means providing instructions and guidance to users through a device at physical stores or other locations.

[0099] This system consists of three elements: a server, a terminal, and a user, and the invention can be implemented in the following manner.

[0100] The server collects the user's past online activity history. This history data includes website browsing history, search history, and online purchase history, and is stored in a database. Based on this data, the server uses a generative AI model to analyze the user's preferences. Based on the analysis results, it generates a virtual conversational character tailored to the user's preferences. This generation utilizes the functions of the generative AI model, generating a character by providing specific themes and character traits as prompts.

[0101] The device takes the form of smart glasses or a personal digital assistant and displays a generated virtual conversational character on the user's screen. The device provides an application interface for interaction with the user and enables natural language processing via voice and text. Users can customize the character's appearance and personality through online payments. Furthermore, in specific locations, personalized guidance information is provided to the user through the device.

[0102] Users can interact with virtual conversational characters via their devices to receive navigation within the store and information about products. For example, if a user shows interest in shoes, the server analyzes their preferences and prompts the character to the running shoe section based on a message such as, "Based on the user's history, we've identified an interest in sports equipment. Start assisting them with the most popular running shoes."

[0103] This means that the information provided from the server through the terminal will be content tailored to the user's individual preferences, resulting in a more satisfying experience.

[0104] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0105] Step 1:

[0106] The server collects the user's online activity history. Specifically, it collects information such as the web pages the user has visited, search history, and purchase history, and stores this data in a database. The input is the user's browser and app usage history, and the output is the history data stored in the database.

[0107] Step 2:

[0108] The server analyzes user preferences based on collected historical data. Using a generative AI model, the server extracts themes and patterns of interest from the historical data. In this process, the input is historical data stored in a database, and the output is profile information indicating the user's preferences. Specifically, it calculates keyword frequency to identify areas of interest.

[0109] Step 3:

[0110] The server generates a virtual conversational character based on the results of preference analysis. It uses a generative AI model to design the character's appearance and personality, and generates the character by providing prompts based on a specific theme. The input is the user's profile information and the generative AI model, and the output is the attributes of the generated character. As a concrete example, the prompt "The user's history indicates an interest in sports equipment. Begin serving them with the most popular running shoes." is used.

[0111] Step 4:

[0112] The terminal displays a generated virtual conversational character to the user, providing a communication interface. The input is the attributes of the generated character, and the output is the character displayed on the user's terminal. This includes operations that display the character in real time using smart glasses or personal digital assistants (PDAs).

[0113] Step 5:

[0114] Users interact with virtual conversational characters and customize the character's appearance and personality as needed. The input is the user's actions, and the output is the customized character. Specific actions include selecting customization options through online billing.

[0115] Step 6:

[0116] The device sends user feedback to the server, which then uses this feedback to improve the generative AI model. The input is user feedback information, and the output is the improved generative AI model. Specifically, the generation process is adjusted based on the analysis of the feedback.

[0117] 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.

[0118] To implement this invention, it is crucial to build a system incorporating a server, a terminal, an emotion engine, and a user. The server first collects the user's past online activity history with the user's permission and provides this information to a generating AI model. The model analyzes this data and generates a personalized virtual conversational character based on the user's preferences.

[0119] The generated virtual conversational character is displayed on the user's device. The user interacts with the character through the interface, and during this process, the emotion engine analyzes the user's emotions from their voice and facial expressions. Based on the emotional state analyzed by the emotion engine, the server adjusts the character's response in real time to provide the user with an appropriate response.

[0120] Furthermore, users can freely customize their character's appearance and personality through online payments, providing an even more personalized experience. The device collects these user customization requests and sends them to the server, allowing for immediate adjustments to the character.

[0121] For example, if a user appears to be enjoying themselves during a conversation, the emotion engine will sense that positive emotion and adjust the character to provide a lively response that matches it. In this way, the conversation becomes more natural and flowing because the character responds appropriately to the user's current emotions.

[0122] The server regularly collects user feedback and analysis results from the emotion engine, and uses this information to improve the AI ​​model. This process allows the generation of virtual conversational characters and their emotion recognition capabilities to improve over time, enabling the system to continue providing users with a consistently satisfying experience.

[0123] The following describes the processing flow.

[0124] Step 1:

[0125] The server collects the user's past online activity history. Within the scope of the user's permission, it obtains search history and visited website data to use as foundational data for future analysis.

[0126] Step 2:

[0127] The server inputs the collected historical data into a generating AI model for analysis to identify user preferences. These identified preferences then influence the subsequent customization of the virtual character.

[0128] Step 3:

[0129] Based on the analysis results, the server generates a virtual conversational character that matches the user's preferences. Appearance and topic characteristics are also set at this stage.

[0130] Step 4:

[0131] The terminal receives data from the server and displays the generated virtual character on the user's screen. The user can then initiate interaction with this character through the interface.

[0132] Step 5:

[0133] The emotion engine analyzes the user's emotional state during the interaction. It identifies the user's emotions in real time, such as whether they are happy or sad, based on their voice tone and facial expressions.

[0134] Step 6:

[0135] The server receives analysis data from the emotion engine and adjusts the virtual character's response according to the user's emotions. This ensures that the character's response matches the user's emotional state.

[0136] Step 7:

[0137] If a user wants to change the appearance or personality of their virtual character, they can do so by making an online payment through their device. This action causes the server to update the character's attributes in real time.

[0138] Step 8:

[0139] The server collects user feedback and emotion engine analysis history, which is used to improve the accuracy of the AI ​​model. This will enable a more optimized character experience in the future.

[0140] (Example 2)

[0141] 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".

[0142] Traditional dialogue systems have struggled to provide personalized conversational experiences based on user preferences. Furthermore, they have been unable to create natural responses that reflect user emotions in real time, highlighting the need for improved user experience. Additionally, their limited customization options have sometimes prevented them from meeting user expectations.

[0143] 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.

[0144] In this invention, the server includes a device for collecting the user's past information activity history and analyzing the user's preferences; a device for generating a personalized virtual dialogue character for the user based on the analysis results; a device for displaying the generated virtual dialogue character on the user's terminal; a device for changing the appearance and characteristics of the virtual dialogue character through online payment; and a device for analyzing the user's voice and facial expressions to extract emotional information and adjust the virtual dialogue character's responses accordingly. This enables the provision of a personalized and natural dialogue experience and a high degree of customization to meet the user's expectations.

[0145] A "user" refers to a person or individual who uses a system, and is the subject who enjoys an experience based on their preferences and emotions.

[0146] "Information activity history" refers to historical data of various actions a user takes online, and may include website browsing history and app usage history.

[0147] "Preferences" refer to the specific tastes and interests that a user possesses, and are primarily used to personalize individual experiences.

[0148] A "virtual conversational character" is a digital character that is individually generated based on the user's preferences and is responsible for conversations and interactions with the user.

[0149] A "terminal" refers to a device used by a user to interact with a virtual dialogue character, and typically includes computers and smartphones.

[0150] "Online payment" refers to monetary transactions conducted via the internet, and is used when users customize their virtual dialogue characters.

[0151] "Appearance and characteristics" refer to the visual features and behavioral characteristics of the virtual dialogue character, and are elements that can be changed according to the user's wishes.

[0152] "Voice and facial expressions" refers to information that can be gleaned from the user's tone of voice and facial movements, and is used as data for emotion analysis.

[0153] "Emotional information" refers to data that numerically or qualitatively represents the user's mental state and is used to adjust the conversation.

[0154] "Adjusting responses" refers to appropriately changing the content and tone of the virtual dialogue character's conversation based on acquired emotional information, thereby optimizing the user experience.

[0155] In order to implement this invention, it is first necessary to build a system that includes a server, terminal, emotion engine, and user.

[0156] The server collects past information activity history with the user's permission. This data includes website browsing history and app usage history, and is used to analyze the user's preferences. The server then inputs the analyzed data into a generative AI model to generate a personalized virtual conversational character for the user. The generative AI model used at this stage also runs on the server.

[0157] The generated virtual conversational character is displayed on the terminal. The terminal typically refers to a device such as a computer or smartphone, and interaction with the character takes place in real time. Furthermore, users can modify the character's appearance and characteristics through online payments.

[0158] During the conversation, the emotion engine analyzes the user's voice and facial expressions in real time to obtain emotional information. This emotional information is sent to the server and used to adjust the character's responses. For example, if the user seems happy, the character will be adjusted to give more lively responses.

[0159] An example of a prompt might be, "The AI ​​model should infer the user's preferred conversational style based on past activity data and generate an appropriate virtual character." Using this prompt, the generating AI model can construct a character optimized for the user.

[0160] This system not only provides users with a more natural and fluid conversational experience, but also allows them to enjoy highly customized and personalized dialogue.

[0161] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0162] Step 1:

[0163] The server collects the user's past information activity history. This process gathers data on the web pages the user has viewed and the applications they have used. The input is the user's online activity data, and the output is user profile information that organizes this data. The server then uses this to store the user's preferences and topics of interest in a database.

[0164] Step 2:

[0165] The server inputs collected user profile information into a generating AI model to analyze user preferences. The input is organized user profile information, and the output is analysis results including user preferences and patterns. This analysis allows the server to build the foundation for generating a virtual conversational character that is optimal for the user.

[0166] Step 3:

[0167] The server generates a virtual conversational character using a generative AI model based on the analysis results. The input is the analysis results indicating the user's preferences, and the output is a customized virtual conversational character. The server generates this character and prepares to send it to the terminal.

[0168] Step 4:

[0169] The terminal receives a virtual dialogue character sent from the server and displays it on the screen. The input is character data sent from the server, and the output is the character that the user can visually confirm through the interface. The terminal allows the character to be manipulated in real time to enable interaction with the user.

[0170] Step 5:

[0171] The user interacts with a virtual dialogue character through their device. During this process, an emotion engine analyzes the user's voice and facial expressions in real time. The input is the user's voice and facial expression data, and the output is the analysis result indicating the user's emotional state. The emotion engine transmits this data to the server in real time.

[0172] Step 6:

[0173] The server receives analysis results from the emotion engine and adjusts the responses of the virtual dialogue character. The input is the emotion analysis result from the emotion engine, and the output is the adjusted character response. The server then provides dialogue that is appropriately matched to the user's current emotions.

[0174] Step 7:

[0175] Users can change the appearance and characteristics of their characters through online payments. The terminal receives the user's customization request and sends it to the server. The input is the user's customization request data, and the output is the updated character attributes. The server applies this immediately and sends it to the terminal.

[0176] (Application Example 2)

[0177] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0178] In modern online shopping, users face challenges such as difficulty in selecting products based on their preferences and emotions, and limited means of obtaining a personalized shopping experience. Furthermore, there is a need for natural dialogue through virtual conversational characters that provide responses that take user emotions into consideration.

[0179] 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.

[0180] In this invention, the server includes means for collecting the user's past online activity history and analyzing their preferences, means for generating and displaying an individualized virtual conversational character on an information terminal, and means for analyzing the user's emotional state and recommending personalized products. This allows the user to receive personalized product recommendations based on their preferences and emotions.

[0181] A "user" refers to an individual who interacts with a virtual dialogue character.

[0182] "Online activity history" refers to a record of a user's actions on the internet, including website browsing history and purchase history.

[0183] "Preferences" refer to the individual tastes and preferences of a user, and are inferred based on their past actions and choices.

[0184] A "virtual conversational character" is a digital person created by a generative AI model that provides information and recommends products through dialogue with the user.

[0185] An "information terminal" refers to a device, such as a smartphone, tablet, or computer, that displays a virtual dialogue character and interacts with the user.

[0186] "Online billing" refers to payment processing conducted via the internet and is used for things like customizing virtual dialogue characters.

[0187] "Emotional state" refers to the mental state analyzed from the user's facial expressions and voice, and is used to adjust the character's responses in dialogue.

[0188] "Personalized products" refer to products that have been specially selected to match the user's preferences and emotions, thus meeting the user's individual needs.

[0189] This invention is a system that generates personalized virtual conversational characters using a user's past online activity history and provides them to the user. The server collects the user's authorized online activity history and analyzes it using a generation AI model. Specifically, it uses a cloud service API for emotion analysis, for example, the Azure® Emotion Analysis API, to determine the user's emotional state from their voice and facial expressions.

[0190] The user terminal consists of information devices such as smartphones and computers, and displays a generated virtual conversational character. Users can interact with this conversational character and receive product recommendations based on their preferences and desires. Furthermore, it is possible to freely change the character's appearance and personality using online payment.

[0191] For example, if a user tells a character that they are "looking for new fashion for the season but don't know what style is best," the character will recommend the most suitable items based on the user's past history and current emotions.

[0192] An example of a prompt message to implement such a system is as follows: "Recommend personalized products based on the user's purchase history and online activity data, and adjust the dialogue character's responses appropriately according to the user's emotional state."

[0193] The hardware used is a smartphone or tablet operated by the user, through which real-time character responses and product recommendations are realized.

[0194] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0195] Step 1:

[0196] The server collects online activity history with the user's permission. It receives the user's past behavioral data as input and stores it in a database. The output is organized activity history data for use in subsequent processing.

[0197] Step 2:

[0198] The server provides collected activity history data to a generative AI model to analyze user preferences. The input is the stored activity history data, and the generative AI model analyzes this data to learn patterns. The output is the analysis results showing user preferences and behavioral patterns.

[0199] Step 3:

[0200] The server uses a generative AI model to generate a virtual conversational character based on the user's preferences. The input is the analysis results obtained in the previous step, which are used to determine the character's attributes. The output is a virtual conversational character that matches the user's characteristics.

[0201] Step 4:

[0202] The terminal displays the generated virtual dialogue character on its screen. The input is character data received from the server. The output is the character display that the user can visually confirm.

[0203] Step 5:

[0204] Users interact with virtual conversational characters through their devices, expressing their interests and emotions. Input is provided by the user via voice or text, which is then analyzed by speech recognition and emotion analysis APIs. Output consists of the analyzed text and emotional state data.

[0205] Step 6:

[0206] The server analyzes the user's emotional state and recommends personalized products. The input is user emotional state data obtained from an emotional analysis API, which a generative AI model uses to identify appropriate products. The output is a list of products that match the user's needs.

[0207] Step 7:

[0208] Users can change the appearance and personality of their characters through online payments. Input consists of customization requests and payment data from the user, which the server processes. Output is the attribute data of the modified character, which is then displayed to the user as the updated character.

[0209] 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.

[0210] 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.

[0211] 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.

[0212] [Second Embodiment]

[0213] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0214] 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.

[0215] 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).

[0216] 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.

[0217] 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.

[0218] 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).

[0219] 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.

[0220] 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.

[0221] 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.

[0222] 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.

[0223] 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.

[0224] 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".

[0225] To implement this invention, a system involving three main elements—a server, a terminal, and a user—is required. The server collects the user's past online activity history and analyzes it using a generative AI model. This analysis identifies the user's preferences and generates an optimal virtual conversational character based on those preferences.

[0226] The generated virtual character is displayed on the user's device, and the user can interact with it. The device enables natural communication with the character through its user interface, and the user can customize the character's appearance and personality as needed through online payments.

[0227] For example, if a user enjoys sports, the server analyzes the user's interests using their sports-related search history and generates a character wearing a sports uniform. This character possesses extensive knowledge of sports and can enjoy discussing sports with the user.

[0228] The device provides character display and interaction functions, creating an environment that is easy for users to operate. Furthermore, it regularly sends user feedback to the server, which then uses this feedback to improve the AI ​​model. As a result, the system can adapt to the user over time, continuously providing a highly satisfying experience.

[0229] The following describes the processing flow.

[0230] Step 1:

[0231] The server collects past online activity history with the user's permission. This data includes information such as what topics the user searched for and which websites they visited.

[0232] Step 2:

[0233] The server inputs the collected historical data into an AI model to analyze user preferences. At this stage, the AI ​​model executes algorithms to identify themes and visual characteristics that the user prefers.

[0234] Step 3:

[0235] The server generates a virtual conversational character best suited to the user based on the analysis results of the AI ​​model. The generated character will have an appearance, personality, topics of conversation, and other settings tailored to the user's preferences.

[0236] Step 4:

[0237] The device displays the generated virtual character on the user's screen. The user can then begin interacting with the character through the interface.

[0238] Step 5:

[0239] Users interact with the character using their device. If further customization requests or new interests arise during the interaction, users can optionally pay online to change the character's appearance and personality.

[0240] Step 6:

[0241] The server receives user customization requests and applies the changes immediately. The character's appearance and the topics offered are updated according to the user's new requests.

[0242] Step 7:

[0243] Users submit feedback about the service they experienced via their device. This feedback is collected on a server and used to improve the service.

[0244] Step 8:

[0245] The server continuously updates its AI model based on feedback and new user data, improving the accuracy of future character generation processes. This results in a more personalized user experience and increased satisfaction.

[0246] (Example 1)

[0247] 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."

[0248] In modern society, providing digital content tailored to individual hobbies and interests is crucial, but conventional systems struggle to quickly respond to users' changing interests. Furthermore, a lack of personalized characters to provide more user-friendly interactions is a significant challenge.

[0249] 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.

[0250] In this invention, the server includes means for acquiring the user's past online activity history and identifying the user's preferences, means for constructing a virtual conversational character using a generative AI model based on the identified preferences, and means for engaging in natural conversation with the virtual conversational character based on the user's input. This enables the provision of personalized digital content and a more user-friendly experience.

[0251] "User's past online activity history" refers to records of the user's internet search history, websites accessed, content viewed, and online services used.

[0252] "Preferences" refer to specific fields, themes, or activities that a user shows interest in.

[0253] A "generative AI model" refers to an algorithm that uses artificial intelligence technology to analyze data and generate output tailored to a specific purpose.

[0254] A "virtual conversational character" refers to a digital character created on a computer and designed for the purpose of interacting with users.

[0255] A "display device" refers to hardware such as computers and smartphones that visually convey digital information to users.

[0256] "Online purchase" refers to the process of trading digital or physical goods or services over the internet.

[0257] "Evaluation information" refers to feedback provided by users regarding their user experience and the responsiveness of the system.

[0258] "The ability to adapt to the topic" refers to the virtual conversational character's ability to construct a conversation based on a specific theme or user interest and respond appropriately.

[0259] This system primarily consists of three elements: a server, a terminal, and a user, all working closely together to realize the invention. The server collects the user's past online activity history and analyzes the user's preferences based on this data. Specifically, it uses a database to securely store the user's web browser history and online service usage history on the server. Generative AI models are used for data analysis, and natural language processing technology is utilized to analyze the user's interests in detail.

[0260] Based on the analysis results, the server generates a virtual conversational character. This character generation uses an AI-based character creation tool, setting its appearance and personality according to the user's preferences. For example, for a user with a strong interest in sports, a character wearing a sports uniform will be generated and configured to have extensive knowledge of sports.

[0261] The generated virtual character is delivered to the user's device. The device displays the character using a user interface, providing an environment where the user can naturally interact with the character. By incorporating speech recognition and text analysis systems, the user can communicate with the character via voice or text and interact with it.

[0262] Users can customize their character's appearance and personality through online purchases. Furthermore, by providing feedback, the server continuously improves the AI ​​model, enhancing the character's performance and responsiveness. This feedback process allows the system to adapt to the user's individual needs over time, providing a superior user experience.

[0263] An example of a prompt message might be: "Generate an appropriate virtual conversational character based on the user's interests. For example, if the user has recently made many searches related to sports, provide a character with extensive knowledge of sports."

[0264] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0265] Step 1:

[0266] The server retrieves the user's past online activity history. This step involves collecting browser history and online service logs from a database and performing a cleansing process. The input consists of the user's unique ID and history data, and the output is organized user activity history data. Specifically, this involves deleting unnecessary data and standardizing the data format.

[0267] Step 2:

[0268] The server uses a generative AI model to identify user preferences based on collected historical data. The input is cleansed user historical data, which the AI ​​model analyzes to identify specific interest patterns. The output generates preference data indicating the user's areas of interest. Specifically, natural language processing techniques are used to extract keywords and frequently occurring topics.

[0269] Step 3:

[0270] The server generates a virtual conversational character based on identified preferences. The input is preference data, and an AI model constructs the appearance and personality of the personalized character. The output is the data of this custom character. For specific actions, character design software is used to create an avatar, and a personality based on preferences is programmed into it.

[0271] Step 4:

[0272] The server sends and displays the generated virtual character to the user's terminal. The terminal receives the character's 3D model data and action script and prepares it for display on the screen. The input is the generated character data, and the output is a character that can be visualized and manipulated on the terminal. Specifically, a graphics engine is used to display the character on the screen, making it interactive for the user.

[0273] Step 5:

[0274] The user interacts with a character on the device. This step involves voice or text interaction. The input is voice or text instructions from the user, which are analyzed by the device's voice recognition system. The output is an appropriate response from the character. Specifically, an AI dialogue engine generates responses in real time, and the character expresses those responses through voice and motion.

[0275] Step 6:

[0276] The terminal sends user feedback to the server. The input is the feedback data provided by the user, which the server receives and uses to improve the system. The output is the improved data for the AI ​​model. The specific operation includes a process of analyzing the feedback content and incorporating it into the training data for the AI ​​model.

[0277] (Application Example 1)

[0278] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart glasses 214 are referred to as a "terminal".

[0279] Currently, it is difficult for many physical stores to provide customers with a personalized experience. Therefore, customers may not receive information or product recommendations that suit their preferences, which may lead to a decrease in satisfaction. In addition, the burden on store staff is also large, and efficient business operations are required. In such a situation, it is necessary to provide customers with personalized guidance to improve customer satisfaction and the efficiency of store operations simultaneously.

[0280] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0281] In this invention, the server includes means for collecting the user's past online activity history and analyzing the user's preferences, means for generating a personalized virtual dialogue character for the user based on the analysis results, and means for guiding the user at a specific location through the device. This enables effective personalized guidance for customers and improves the experience in the store.

[0282] The "user's past online activity history" refers to digital data such as the actions, search history, and browsing history that the user has performed on the Internet.

[0283] "Preferences" refer to the likes and interests of individual users towards specific products, services, or information.

[0284] A "virtual dialogue character" is an artificial character that is displayed as a computer-generated image or avatar and has the ability to interact with the user.

[0285] The "user information display device" is an electronic device through which a user can visually confirm information, and examples include smart glasses and mobile information terminals.

[0286] "Online billing" refers to an electronic payment procedure carried out through the Internet.

[0287] "Customize appearance and personality" means that the user can change the appearance and behavior characteristics of the virtual interaction character based on their selection.

[0288] "Guide the user at a specific location" means the instructions and guidance that the user receives at a physical store or other location through the device.

[0289] This system consists of three elements: a server, a terminal, and a user, and the invention can be implemented in the following ways.

[0290] The server collects the user's past online activity history. This history data includes website browsing history, search history, online purchase history, etc., and is stored in a database. Based on this data, the server analyzes the user's preferences using a generative AI model. Based on the analysis results, a virtual interaction character that suits the user's preferences is generated. For this generation, the functions of the generative AI model are utilized, and a specific theme or character trait is given as a prompt sentence to generate the character.

[0291] The terminal takes the form of smart glasses or a mobile information terminal and displays the generated virtual interaction character on the user's display. The terminal provides an application interface for interaction with the user and enables natural language processing by voice or text. At this time, the user can customize the appearance and personality of the character through online billing. Also, at a specific location, personalized guidance information is provided to the user through the terminal.

[0292] Users can interact with virtual conversational characters via their devices to receive navigation within the store and information about products. For example, if a user shows interest in shoes, the server analyzes their preferences and prompts the character to the running shoe section based on a message such as, "Based on the user's history, we've identified an interest in sports equipment. Start assisting them with the most popular running shoes."

[0293] This means that the information provided from the server through the terminal will be content tailored to the user's individual preferences, resulting in a more satisfying experience.

[0294] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0295] Step 1:

[0296] The server collects the user's online activity history. Specifically, it collects information such as the web pages the user has visited, search history, and purchase history, and stores this data in a database. The input is the user's browser and app usage history, and the output is the history data stored in the database.

[0297] Step 2:

[0298] The server analyzes user preferences based on collected historical data. Using a generative AI model, the server extracts themes and patterns of interest from the historical data. In this process, the input is historical data stored in a database, and the output is profile information indicating the user's preferences. Specifically, it calculates keyword frequency to identify areas of interest.

[0299] Step 3:

[0300] The server generates a virtual conversational character based on the results of preference analysis. It uses a generative AI model to design the character's appearance and personality, and generates the character by providing prompts based on a specific theme. The input is the user's profile information and the generative AI model, and the output is the attributes of the generated character. As a concrete example, the prompt "The user's history indicates an interest in sports equipment. Begin serving them with the most popular running shoes." is used.

[0301] Step 4:

[0302] The terminal displays a generated virtual conversational character to the user, providing a communication interface. The input is the attributes of the generated character, and the output is the character displayed on the user's terminal. This includes operations that display the character in real time using smart glasses or personal digital assistants (PDAs).

[0303] Step 5:

[0304] Users interact with virtual conversational characters and customize the character's appearance and personality as needed. The input is the user's actions, and the output is the customized character. Specific actions include selecting customization options through online billing.

[0305] Step 6:

[0306] The device sends user feedback to the server, which then uses this feedback to improve the generative AI model. The input is user feedback information, and the output is the improved generative AI model. Specifically, the generation process is adjusted based on the analysis of the feedback.

[0307] Furthermore, an emotion engine for estimating the user's emotions may be combined. That is, the specific processing unit 290 may estimate the user's emotions using the emotion identification model 59 and perform specific processing using the user's emotions.

[0308] To implement this invention, it is important to construct a system incorporating a server, a terminal, an emotion engine, and a user. First, the server collects the past online activity history after obtaining the user's permission and provides this information to the generated AI model. The model analyzes this data and generates a personalized virtual dialogue character based on the user's preferences.

[0309] The generated virtual dialogue character is displayed on the user's terminal. The user interacts with the character through the interface, and in the process, the emotion engine analyzes the emotion from the user's voice and expression. Based on the emotional state analyzed by the emotion engine, the server adjusts the character's response in real time and provides an appropriate response to the user.

[0310] Also, the user can freely customize the appearance and personality of the character through online billing, providing a more individualized experience. The terminal collects these user customization requests and sends them to the server to immediately adjust the character.

[0311] For example, when the user seems to be enjoying the conversation, the emotion engine senses that positive emotion and adjusts the character to give a lively response accordingly. In this way, the conversation becomes more natural and flows better because the character responds appropriately to the user's current emotion.

[0312] The server regularly collects feedback from the user and the analysis results from the emotion engine and improves the AI model based on them. Through this process, the generation and emotion recognition ability of the virtual dialogue character can be improved over time, and it is possible to continuously provide a consistently satisfying experience to the user.

[0313] The following describes the processing flow.

[0314] Step 1:

[0315] The server collects the user's past online activity history. Within the scope of the user's permission, it obtains search history and visited website data to use as foundational data for future analysis.

[0316] Step 2:

[0317] The server inputs the collected historical data into a generating AI model for analysis to identify user preferences. These identified preferences then influence the subsequent customization of the virtual character.

[0318] Step 3:

[0319] Based on the analysis results, the server generates a virtual conversational character that matches the user's preferences. Appearance and topic characteristics are also set at this stage.

[0320] Step 4:

[0321] The terminal receives data from the server and displays the generated virtual character on the user's screen. The user can then initiate interaction with this character through the interface.

[0322] Step 5:

[0323] The emotion engine analyzes the user's emotional state during the interaction. It identifies the user's emotions in real time, such as whether they are happy or sad, based on their voice tone and facial expressions.

[0324] Step 6:

[0325] The server receives analysis data from the emotion engine and adjusts the virtual character's response according to the user's emotions. This ensures that the character's response matches the user's emotional state.

[0326] Step 7:

[0327] If a user wants to change the appearance or personality of their virtual character, they can do so by making an online payment through their device. This action causes the server to update the character's attributes in real time.

[0328] Step 8:

[0329] The server collects user feedback and emotion engine analysis history, which is used to improve the accuracy of the AI ​​model. This will enable a more optimized character experience in the future.

[0330] (Example 2)

[0331] 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".

[0332] Traditional dialogue systems have struggled to provide personalized conversational experiences based on user preferences. Furthermore, they have been unable to create natural responses that reflect user emotions in real time, highlighting the need for improved user experience. Additionally, their limited customization options have sometimes prevented them from meeting user expectations.

[0333] 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.

[0334] In this invention, the server includes a device for collecting the user's past information activity history and analyzing the user's preferences; a device for generating a personalized virtual dialogue character for the user based on the analysis results; a device for displaying the generated virtual dialogue character on the user's terminal; a device for changing the appearance and characteristics of the virtual dialogue character through online payment; and a device for analyzing the user's voice and facial expressions to extract emotional information and adjust the virtual dialogue character's responses accordingly. This enables the provision of a personalized and natural dialogue experience and a high degree of customization to meet the user's expectations.

[0335] A "user" refers to a person or individual who uses a system, and is the subject who enjoys an experience based on their preferences and emotions.

[0336] "Information activity history" refers to historical data of various actions a user takes online, and may include website browsing history and app usage history.

[0337] "Preferences" refer to the specific tastes and interests that a user possesses, and are primarily used to personalize individual experiences.

[0338] A "virtual conversational character" is a digital character that is individually generated based on the user's preferences and is responsible for conversations and interactions with the user.

[0339] A "terminal" refers to a device used by a user to interact with a virtual dialogue character, and typically includes computers and smartphones.

[0340] "Online payment" refers to monetary transactions conducted via the internet, and is used when users customize their virtual dialogue characters.

[0341] "Appearance and characteristics" refer to the visual features and behavioral characteristics of the virtual dialogue character, and are elements that can be changed according to the user's wishes.

[0342] "Voice and facial expressions" refers to information that can be gleaned from the user's tone of voice and facial movements, and is used as data for emotion analysis.

[0343] "Emotional information" refers to data that numerically or qualitatively represents the user's mental state and is used to adjust the conversation.

[0344] "Adjusting responses" refers to appropriately changing the content and tone of the virtual dialogue character's conversation based on acquired emotional information, thereby optimizing the user experience.

[0345] In order to implement this invention, it is first necessary to build a system that includes a server, terminal, emotion engine, and user.

[0346] The server collects past information activity history with the user's permission. This data includes website browsing history and app usage history, and is used to analyze the user's preferences. The server then inputs the analyzed data into a generative AI model to generate a personalized virtual conversational character for the user. The generative AI model used at this stage also runs on the server.

[0347] The generated virtual conversational character is displayed on the terminal. The terminal typically refers to a device such as a computer or smartphone, and interaction with the character takes place in real time. Furthermore, users can modify the character's appearance and characteristics through online payments.

[0348] During the conversation, the emotion engine analyzes the user's voice and facial expressions in real time to obtain emotional information. This emotional information is sent to the server and used to adjust the character's responses. For example, if the user seems happy, the character will be adjusted to give more lively responses.

[0349] An example of a prompt might be, "The AI ​​model should infer the user's preferred conversational style based on past activity data and generate an appropriate virtual character." Using this prompt, the generating AI model can construct a character optimized for the user.

[0350] This system not only provides users with a more natural and fluid conversational experience, but also allows them to enjoy highly customized and personalized dialogue.

[0351] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0352] Step 1:

[0353] The server collects the user's past information activity history. This process gathers data on the web pages the user has viewed and the applications they have used. The input is the user's online activity data, and the output is user profile information that organizes this data. The server then uses this to store the user's preferences and topics of interest in a database.

[0354] Step 2:

[0355] The server inputs collected user profile information into a generating AI model to analyze user preferences. The input is organized user profile information, and the output is analysis results including user preferences and patterns. This analysis allows the server to build the foundation for generating a virtual conversational character that is optimal for the user.

[0356] Step 3:

[0357] The server generates a virtual conversational character using a generative AI model based on the analysis results. The input is the analysis results indicating the user's preferences, and the output is a customized virtual conversational character. The server generates this character and prepares to send it to the terminal.

[0358] Step 4:

[0359] The terminal receives a virtual dialogue character sent from the server and displays it on the screen. The input is character data sent from the server, and the output is the character that the user can visually confirm through the interface. The terminal allows the character to be manipulated in real time to enable interaction with the user.

[0360] Step 5:

[0361] The user interacts with a virtual dialogue character through their device. During this process, an emotion engine analyzes the user's voice and facial expressions in real time. The input is the user's voice and facial expression data, and the output is the analysis result indicating the user's emotional state. The emotion engine transmits this data to the server in real time.

[0362] Step 6:

[0363] The server receives analysis results from the emotion engine and adjusts the responses of the virtual dialogue character. The input is the emotion analysis result from the emotion engine, and the output is the adjusted character response. The server then provides dialogue that is appropriately matched to the user's current emotions.

[0364] Step 7:

[0365] Users can change the appearance and characteristics of their characters through online payments. The terminal receives the user's customization request and sends it to the server. The input is the user's customization request data, and the output is the updated character attributes. The server applies this immediately and sends it to the terminal.

[0366] (Application Example 2)

[0367] 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."

[0368] In modern online shopping, users face challenges such as difficulty in selecting products based on their preferences and emotions, and limited means of obtaining a personalized shopping experience. Furthermore, there is a need for natural dialogue through virtual conversational characters that provide responses that take user emotions into consideration.

[0369] 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.

[0370] In this invention, the server includes means for collecting the user's past online activity history and analyzing their preferences, means for generating and displaying an individualized virtual conversational character on an information terminal, and means for analyzing the user's emotional state and recommending personalized products. This allows the user to receive personalized product recommendations based on their preferences and emotions.

[0371] A "user" refers to an individual who interacts with a virtual dialogue character.

[0372] "Online activity history" refers to a record of a user's actions on the internet, including website browsing history and purchase history.

[0373] "Preferences" refer to the individual tastes and preferences of a user, and are inferred based on their past actions and choices.

[0374] A "virtual conversational character" is a digital person created by a generative AI model that provides information and recommends products through dialogue with the user.

[0375] An "information terminal" refers to a device, such as a smartphone, tablet, or computer, that displays a virtual dialogue character and interacts with the user.

[0376] "Online billing" refers to payment processing conducted via the internet and is used for things like customizing virtual dialogue characters.

[0377] "Emotional state" refers to the mental state analyzed from the user's facial expressions and voice, and is used to adjust the character's responses in dialogue.

[0378] "Personalized products" refer to products that have been specially selected to match the user's preferences and emotions, thus meeting the user's individual needs.

[0379] This invention is a system that generates personalized virtual conversational characters using a user's past online activity history and provides them to the user. The server collects the user's authorized online activity history and analyzes it using a generation AI model. Specifically, it uses a cloud service API for emotion analysis, for example, using Azure's emotion analysis API to determine the user's emotional state from their voice and facial expressions.

[0380] The user terminal consists of information devices such as smartphones and computers, and displays a generated virtual conversational character. Users can interact with this conversational character and receive product recommendations based on their preferences and desires. Furthermore, it is possible to freely change the character's appearance and personality using online payment.

[0381] For example, if a user tells a character that they are "looking for new fashion for the season but don't know what style is best," the character will recommend the most suitable items based on the user's past history and current emotions.

[0382] An example of a prompt message to implement such a system is as follows: "Recommend personalized products based on the user's purchase history and online activity data, and adjust the dialogue character's responses appropriately according to the user's emotional state."

[0383] The hardware used is a smartphone or tablet operated by the user, through which real-time character responses and product recommendations are realized.

[0384] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0385] Step 1:

[0386] The server collects online activity history with the user's permission. It receives the user's past behavioral data as input and stores it in a database. The output is organized activity history data for use in subsequent processing.

[0387] Step 2:

[0388] The server provides collected activity history data to a generative AI model to analyze user preferences. The input is the stored activity history data, and the generative AI model analyzes this data to learn patterns. The output is the analysis results showing user preferences and behavioral patterns.

[0389] Step 3:

[0390] The server uses a generative AI model to generate a virtual conversational character based on the user's preferences. The input is the analysis results obtained in the previous step, which are used to determine the character's attributes. The output is a virtual conversational character that matches the user's characteristics.

[0391] Step 4:

[0392] The terminal displays the generated virtual dialogue character on its screen. The input is character data received from the server. The output is the character display that the user can visually confirm.

[0393] Step 5:

[0394] Users interact with virtual conversational characters through their devices, expressing their interests and emotions. Input is provided by the user via voice or text, which is then analyzed by speech recognition and emotion analysis APIs. Output consists of the analyzed text and emotional state data.

[0395] Step 6:

[0396] The server analyzes the user's emotional state and recommends personalized products. The input is user emotional state data obtained from an emotional analysis API, which a generative AI model uses to identify appropriate products. The output is a list of products that match the user's needs.

[0397] Step 7:

[0398] Users can change the appearance and personality of their characters through online payments. Input consists of customization requests and payment data from the user, which the server processes. Output is the attribute data of the modified character, which is then displayed to the user as the updated character.

[0399] 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.

[0400] 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.

[0401] 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.

[0402] [Third Embodiment]

[0403] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0404] 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.

[0405] 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).

[0406] 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.

[0407] 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.

[0408] 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).

[0409] 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.

[0410] 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.

[0411] 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.

[0412] 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.

[0413] 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.

[0414] 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".

[0415] To implement this invention, a system involving three main elements—a server, a terminal, and a user—is required. The server collects the user's past online activity history and analyzes it using a generative AI model. This analysis identifies the user's preferences and generates an optimal virtual conversational character based on those preferences.

[0416] The generated virtual character is displayed on the user's device, and the user can interact with it. The device enables natural communication with the character through its user interface, and the user can customize the character's appearance and personality as needed through online payments.

[0417] For example, if a user enjoys sports, the server analyzes the user's interests using their sports-related search history and generates a character wearing a sports uniform. This character possesses extensive knowledge of sports and can enjoy discussing sports with the user.

[0418] The device provides character display and interaction functions, creating an environment that is easy for users to operate. Furthermore, it regularly sends user feedback to the server, which then uses this feedback to improve the AI ​​model. As a result, the system can adapt to the user over time, continuously providing a highly satisfying experience.

[0419] The following describes the processing flow.

[0420] Step 1:

[0421] The server collects past online activity history with the user's permission. This data includes information such as what topics the user searched for and which websites they visited.

[0422] Step 2:

[0423] The server inputs the collected historical data into an AI model to analyze user preferences. At this stage, the AI ​​model executes algorithms to identify themes and visual characteristics that the user prefers.

[0424] Step 3:

[0425] The server generates a virtual conversational character best suited to the user based on the analysis results of the AI ​​model. The generated character will have an appearance, personality, topics of conversation, and other settings tailored to the user's preferences.

[0426] Step 4:

[0427] The device displays the generated virtual character on the user's screen. The user can then begin interacting with the character through the interface.

[0428] Step 5:

[0429] Users interact with the character using their device. If further customization requests or new interests arise during the interaction, users can optionally pay online to change the character's appearance and personality.

[0430] Step 6:

[0431] The server receives user customization requests and applies the changes immediately. The character's appearance and the topics offered are updated according to the user's new requests.

[0432] Step 7:

[0433] Users submit feedback about the service they experienced via their device. This feedback is collected on a server and used to improve the service.

[0434] Step 8:

[0435] The server continuously updates its AI model based on feedback and new user data, improving the accuracy of future character generation processes. This results in a more personalized user experience and increased satisfaction.

[0436] (Example 1)

[0437] 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."

[0438] In modern society, providing digital content tailored to individual hobbies and interests is crucial, but conventional systems struggle to quickly respond to users' changing interests. Furthermore, a lack of personalized characters to provide more user-friendly interactions is a significant challenge.

[0439] 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.

[0440] In this invention, the server includes means for acquiring the user's past online activity history and identifying the user's preferences, means for constructing a virtual conversational character using a generative AI model based on the identified preferences, and means for engaging in natural conversation with the virtual conversational character based on the user's input. This enables the provision of personalized digital content and a more user-friendly experience.

[0441] "User's past online activity history" refers to records of the user's internet search history, websites accessed, content viewed, and online services used.

[0442] "Preferences" refer to specific fields, themes, or activities that a user shows interest in.

[0443] A "generative AI model" refers to an algorithm that uses artificial intelligence technology to analyze data and generate output tailored to a specific purpose.

[0444] A "virtual conversational character" refers to a digital character created on a computer and designed for the purpose of interacting with users.

[0445] A "display device" refers to hardware such as computers and smartphones that visually convey digital information to users.

[0446] "Online purchase" refers to the process of trading digital or physical goods or services over the internet.

[0447] "Evaluation information" refers to feedback provided by users regarding their user experience and the responsiveness of the system.

[0448] "The ability to adapt to the topic" refers to the virtual conversational character's ability to construct a conversation based on a specific theme or user interest and respond appropriately.

[0449] This system primarily consists of three elements: a server, a terminal, and a user, all working closely together to realize the invention. The server collects the user's past online activity history and analyzes the user's preferences based on this data. Specifically, it uses a database to securely store the user's web browser history and online service usage history on the server. Generative AI models are used for data analysis, and natural language processing technology is utilized to analyze the user's interests in detail.

[0450] Based on the analysis results, the server generates a virtual conversational character. This character generation uses an AI-based character creation tool, setting its appearance and personality according to the user's preferences. For example, for a user with a strong interest in sports, a character wearing a sports uniform will be generated and configured to have extensive knowledge of sports.

[0451] The generated virtual character is delivered to the user's device. The device displays the character using a user interface, providing an environment where the user can naturally interact with the character. By incorporating speech recognition and text analysis systems, the user can communicate with the character via voice or text and interact with it.

[0452] Users can customize their character's appearance and personality through online purchases. Furthermore, by providing feedback, the server continuously improves the AI ​​model, enhancing the character's performance and responsiveness. This feedback process allows the system to adapt to the user's individual needs over time, providing a superior user experience.

[0453] An example of a prompt message might be: "Generate an appropriate virtual conversational character based on the user's interests. For example, if the user has recently made many searches related to sports, provide a character with extensive knowledge of sports."

[0454] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0455] Step 1:

[0456] The server retrieves the user's past online activity history. This step involves collecting browser history and online service logs from a database and performing a cleansing process. The input consists of the user's unique ID and history data, and the output is organized user activity history data. Specifically, this involves deleting unnecessary data and standardizing the data format.

[0457] Step 2:

[0458] The server uses a generative AI model to identify user preferences based on collected historical data. The input is cleansed user historical data, which the AI ​​model analyzes to identify specific interest patterns. The output generates preference data indicating the user's areas of interest. Specifically, natural language processing techniques are used to extract keywords and frequently occurring topics.

[0459] Step 3:

[0460] The server generates a virtual conversational character based on identified preferences. The input is preference data, and an AI model constructs the appearance and personality of the personalized character. The output is the data of this custom character. For specific actions, character design software is used to create an avatar, and a personality based on preferences is programmed into it.

[0461] Step 4:

[0462] The server sends and displays the generated virtual character to the user's terminal. The terminal receives the character's 3D model data and action script and prepares it for display on the screen. The input is the generated character data, and the output is a character that can be visualized and manipulated on the terminal. Specifically, a graphics engine is used to display the character on the screen, making it interactive for the user.

[0463] Step 5:

[0464] The user interacts with a character on the device. This step involves voice or text interaction. The input is voice or text instructions from the user, which are analyzed by the device's voice recognition system. The output is an appropriate response from the character. Specifically, an AI dialogue engine generates responses in real time, and the character expresses those responses through voice and motion.

[0465] Step 6:

[0466] The terminal sends user feedback to the server. The input is the feedback data provided by the user, which the server receives and uses to improve the system. The output is the improved data for the AI ​​model. The specific operation includes a process of analyzing the feedback content and incorporating it into the training data for the AI ​​model.

[0467] (Application Example 1)

[0468] 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."

[0469] Currently, many brick-and-mortar stores find it difficult to provide customers with personalized service experiences. This can lead to customers not receiving information or product suggestions tailored to their preferences, potentially resulting in lower satisfaction. Furthermore, it places a significant burden on store staff, necessitating more efficient operations. In this context, it is essential to provide personalized guidance to customers, achieving both improved customer satisfaction and increased operational efficiency.

[0470] 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.

[0471] In this invention, the server includes means for collecting the user's past online activity history and analyzing the user's preferences, means for generating a personalized virtual conversational character for the user based on the analysis results, and means for guiding the user to a specific location through the device. This makes it possible to provide customers with effectively personalized guidance and improve the in-store experience.

[0472] "User's past online activity history" refers to digital data such as the user's actions on the internet, search history, and browsing history.

[0473] "Preference" refers to the individual user's likes and interests regarding specific products, services, or information.

[0474] A "virtual conversational character" is an artificial character that is displayed as a computer-generated image or avatar and has the ability to interact with the user.

[0475] A "user information display device" is an electronic device that allows a user to visually confirm information, and examples include smart glasses and personal digital assistants.

[0476] "Online billing" refers to electronic payment procedures conducted via the internet.

[0477] "Customizing appearance and personality" refers to users changing the look and behavioral characteristics of their virtual conversational character based on their choices.

[0478] "Guiding users in specific locations" means providing instructions and guidance to users through a device at physical stores or other locations.

[0479] This system consists of three elements: a server, a terminal, and a user, and the invention can be implemented in the following manner.

[0480] The server collects the user's past online activity history. This history data includes website browsing history, search history, and online purchase history, and is stored in a database. Based on this data, the server uses a generative AI model to analyze the user's preferences. Based on the analysis results, it generates a virtual conversational character tailored to the user's preferences. This generation utilizes the functions of the generative AI model, generating a character by providing specific themes and character traits as prompts.

[0481] The device takes the form of smart glasses or a personal digital assistant and displays a generated virtual conversational character on the user's screen. The device provides an application interface for interaction with the user and enables natural language processing via voice and text. Users can customize the character's appearance and personality through online payments. Furthermore, in specific locations, personalized guidance information is provided to the user through the device.

[0482] Users can interact with virtual conversational characters via their devices to receive navigation within the store and information about products. For example, if a user shows interest in shoes, the server analyzes their preferences and prompts the character to the running shoe section based on a message such as, "Based on the user's history, we've identified an interest in sports equipment. Start assisting them with the most popular running shoes."

[0483] This means that the information provided from the server through the terminal will be content tailored to the user's individual preferences, resulting in a more satisfying experience.

[0484] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0485] Step 1:

[0486] The server collects the user's online activity history. Specifically, it collects information such as the web pages the user has visited, search history, and purchase history, and stores this data in a database. The input is the user's browser and app usage history, and the output is the history data stored in the database.

[0487] Step 2:

[0488] The server analyzes user preferences based on collected historical data. Using a generative AI model, the server extracts themes and patterns of interest from the historical data. In this process, the input is historical data stored in a database, and the output is profile information indicating the user's preferences. Specifically, it calculates keyword frequency to identify areas of interest.

[0489] Step 3:

[0490] The server generates a virtual conversational character based on the results of preference analysis. It uses a generative AI model to design the character's appearance and personality, and generates the character by providing prompts based on a specific theme. The input is the user's profile information and the generative AI model, and the output is the attributes of the generated character. As a concrete example, the prompt "The user's history indicates an interest in sports equipment. Begin serving them with the most popular running shoes." is used.

[0491] Step 4:

[0492] The terminal displays a generated virtual conversational character to the user, providing a communication interface. The input is the attributes of the generated character, and the output is the character displayed on the user's terminal. This includes operations that display the character in real time using smart glasses or personal digital assistants (PDAs).

[0493] Step 5:

[0494] Users interact with virtual conversational characters and customize the character's appearance and personality as needed. The input is the user's actions, and the output is the customized character. Specific actions include selecting customization options through online billing.

[0495] Step 6:

[0496] The device sends user feedback to the server, which then uses this feedback to improve the generative AI model. The input is user feedback information, and the output is the improved generative AI model. Specifically, the generation process is adjusted based on the analysis of the feedback.

[0497] 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.

[0498] To implement this invention, it is crucial to build a system incorporating a server, a terminal, an emotion engine, and a user. The server first collects the user's past online activity history with the user's permission and provides this information to a generating AI model. The model analyzes this data and generates a personalized virtual conversational character based on the user's preferences.

[0499] The generated virtual conversational character is displayed on the user's device. The user interacts with the character through the interface, and during this process, the emotion engine analyzes the user's emotions from their voice and facial expressions. Based on the emotional state analyzed by the emotion engine, the server adjusts the character's response in real time to provide the user with an appropriate response.

[0500] Furthermore, users can freely customize their character's appearance and personality through online payments, providing an even more personalized experience. The device collects these user customization requests and sends them to the server, allowing for immediate adjustments to the character.

[0501] For example, if a user appears to be enjoying themselves during a conversation, the emotion engine will sense that positive emotion and adjust the character to provide a lively response that matches it. In this way, the conversation becomes more natural and flowing because the character responds appropriately to the user's current emotions.

[0502] The server regularly collects user feedback and analysis results from the emotion engine, and uses this information to improve the AI ​​model. This process allows the generation of virtual conversational characters and their emotion recognition capabilities to improve over time, enabling the system to continue providing users with a consistently satisfying experience.

[0503] The following describes the processing flow.

[0504] Step 1:

[0505] The server collects the user's past online activity history. Within the scope of the user's permission, it obtains search history and visited website data to use as foundational data for future analysis.

[0506] Step 2:

[0507] The server inputs the collected historical data into a generating AI model for analysis to identify user preferences. These identified preferences then influence the subsequent customization of the virtual character.

[0508] Step 3:

[0509] Based on the analysis results, the server generates a virtual conversational character that matches the user's preferences. Appearance and topic characteristics are also set at this stage.

[0510] Step 4:

[0511] The terminal receives data from the server and displays the generated virtual character on the user's screen. The user can then initiate interaction with this character through the interface.

[0512] Step 5:

[0513] The emotion engine analyzes the user's emotional state during the interaction. It identifies the user's emotions in real time, such as whether they are happy or sad, based on their voice tone and facial expressions.

[0514] Step 6:

[0515] The server receives analysis data from the emotion engine and adjusts the virtual character's response according to the user's emotions. This ensures that the character's response matches the user's emotional state.

[0516] Step 7:

[0517] If a user wants to change the appearance or personality of their virtual character, they can do so by making an online payment through their device. This action causes the server to update the character's attributes in real time.

[0518] Step 8:

[0519] The server collects user feedback and emotion engine analysis history, which is used to improve the accuracy of the AI ​​model. This will enable a more optimized character experience in the future.

[0520] (Example 2)

[0521] 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."

[0522] Traditional dialogue systems have struggled to provide personalized conversational experiences based on user preferences. Furthermore, they have been unable to create natural responses that reflect user emotions in real time, highlighting the need for improved user experience. Additionally, their limited customization options have sometimes prevented them from meeting user expectations.

[0523] 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.

[0524] In this invention, the server includes a device for collecting the user's past information activity history and analyzing the user's preferences; a device for generating a personalized virtual dialogue character for the user based on the analysis results; a device for displaying the generated virtual dialogue character on the user's terminal; a device for changing the appearance and characteristics of the virtual dialogue character through online payment; and a device for analyzing the user's voice and facial expressions to extract emotional information and adjust the virtual dialogue character's responses accordingly. This enables the provision of a personalized and natural dialogue experience and a high degree of customization to meet the user's expectations.

[0525] A "user" refers to a person or individual who uses a system, and is the subject who enjoys an experience based on their preferences and emotions.

[0526] "Information activity history" refers to historical data of various actions a user takes online, and may include website browsing history and app usage history.

[0527] "Preferences" refer to the specific tastes and interests that a user possesses, and are primarily used to personalize individual experiences.

[0528] A "virtual conversational character" is a digital character that is individually generated based on the user's preferences and is responsible for conversations and interactions with the user.

[0529] A "terminal" refers to a device used by a user to interact with a virtual dialogue character, and typically includes computers and smartphones.

[0530] "Online payment" refers to monetary transactions conducted via the internet, and is used when users customize their virtual dialogue characters.

[0531] "Appearance and characteristics" refer to the visual features and behavioral characteristics of the virtual dialogue character, and are elements that can be changed according to the user's wishes.

[0532] "Voice and facial expressions" refers to information that can be gleaned from the user's tone of voice and facial movements, and is used as data for emotion analysis.

[0533] "Emotional information" refers to data that numerically or qualitatively represents the user's mental state and is used to adjust the conversation.

[0534] "Adjusting responses" refers to appropriately changing the content and tone of the virtual dialogue character's conversation based on acquired emotional information, thereby optimizing the user experience.

[0535] In order to implement this invention, it is first necessary to build a system that includes a server, terminal, emotion engine, and user.

[0536] The server collects past information activity history with the user's permission. This data includes website browsing history and app usage history, and is used to analyze the user's preferences. The server then inputs the analyzed data into a generative AI model to generate a personalized virtual conversational character for the user. The generative AI model used at this stage also runs on the server.

[0537] The generated virtual conversational character is displayed on the terminal. The terminal typically refers to a device such as a computer or smartphone, and interaction with the character takes place in real time. Furthermore, users can modify the character's appearance and characteristics through online payments.

[0538] During the conversation, the emotion engine analyzes the user's voice and facial expressions in real time to obtain emotional information. This emotional information is sent to the server and used to adjust the character's responses. For example, if the user seems happy, the character will be adjusted to give more lively responses.

[0539] An example of a prompt might be, "The AI ​​model should infer the user's preferred conversational style based on past activity data and generate an appropriate virtual character." Using this prompt, the generating AI model can construct a character optimized for the user.

[0540] This system not only provides users with a more natural and fluid conversational experience, but also allows them to enjoy highly customized and personalized dialogue.

[0541] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0542] Step 1:

[0543] The server collects the user's past information activity history. This process gathers data on the web pages the user has viewed and the applications they have used. The input is the user's online activity data, and the output is user profile information that organizes this data. The server then uses this to store the user's preferences and topics of interest in a database.

[0544] Step 2:

[0545] The server inputs collected user profile information into a generating AI model to analyze user preferences. The input is organized user profile information, and the output is analysis results including user preferences and patterns. This analysis allows the server to build the foundation for generating a virtual conversational character that is optimal for the user.

[0546] Step 3:

[0547] The server generates a virtual conversational character using a generative AI model based on the analysis results. The input is the analysis results indicating the user's preferences, and the output is a customized virtual conversational character. The server generates this character and prepares to send it to the terminal.

[0548] Step 4:

[0549] The terminal receives a virtual dialogue character sent from the server and displays it on the screen. The input is character data sent from the server, and the output is the character that the user can visually confirm through the interface. The terminal allows the character to be manipulated in real time to enable interaction with the user.

[0550] Step 5:

[0551] The user interacts with a virtual dialogue character through their device. During this process, an emotion engine analyzes the user's voice and facial expressions in real time. The input is the user's voice and facial expression data, and the output is the analysis result indicating the user's emotional state. The emotion engine transmits this data to the server in real time.

[0552] Step 6:

[0553] The server receives analysis results from the emotion engine and adjusts the responses of the virtual dialogue character. The input is the emotion analysis result from the emotion engine, and the output is the adjusted character response. The server then provides dialogue that is appropriately matched to the user's current emotions.

[0554] Step 7:

[0555] Users can change the appearance and characteristics of their characters through online payments. The terminal receives the user's customization request and sends it to the server. The input is the user's customization request data, and the output is the updated character attributes. The server applies this immediately and sends it to the terminal.

[0556] (Application Example 2)

[0557] 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."

[0558] In modern online shopping, users face challenges such as difficulty in selecting products based on their preferences and emotions, and limited means of obtaining a personalized shopping experience. Furthermore, there is a need for natural dialogue through virtual conversational characters that provide responses that take user emotions into consideration.

[0559] 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.

[0560] In this invention, the server includes means for collecting the user's past online activity history and analyzing their preferences, means for generating and displaying an individualized virtual conversational character on an information terminal, and means for analyzing the user's emotional state and recommending personalized products. This allows the user to receive personalized product recommendations based on their preferences and emotions.

[0561] A "user" refers to an individual who interacts with a virtual dialogue character.

[0562] "Online activity history" refers to a record of a user's actions on the internet, including website browsing history and purchase history.

[0563] "Preferences" refer to the individual tastes and preferences of a user, and are inferred based on their past actions and choices.

[0564] A "virtual conversational character" is a digital person created by a generative AI model that provides information and recommends products through dialogue with the user.

[0565] An "information terminal" refers to a device, such as a smartphone, tablet, or computer, that displays a virtual dialogue character and interacts with the user.

[0566] "Online billing" refers to payment processing conducted via the internet and is used for things like customizing virtual dialogue characters.

[0567] "Emotional state" refers to the mental state analyzed from the user's facial expressions and voice, and is used to adjust the character's responses in dialogue.

[0568] "Personalized products" refer to products that have been specially selected to match the user's preferences and emotions, thus meeting the user's individual needs.

[0569] This invention is a system that generates personalized virtual conversational characters using a user's past online activity history and provides them to the user. The server collects the user's authorized online activity history and analyzes it using a generation AI model. Specifically, it uses a cloud service API for emotion analysis, for example, using Azure's emotion analysis API to determine the user's emotional state from their voice and facial expressions.

[0570] The user terminal consists of information devices such as smartphones and computers, and displays a generated virtual conversational character. Users can interact with this conversational character and receive product recommendations based on their preferences and desires. Furthermore, it is possible to freely change the character's appearance and personality using online payment.

[0571] For example, if a user tells a character that they are "looking for new fashion for the season but don't know what style is best," the character will recommend the most suitable items based on the user's past history and current emotions.

[0572] An example of a prompt message to implement such a system is as follows: "Recommend personalized products based on the user's purchase history and online activity data, and adjust the dialogue character's responses appropriately according to the user's emotional state."

[0573] The hardware used is a smartphone or tablet operated by the user, through which real-time character responses and product recommendations are realized.

[0574] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0575] Step 1:

[0576] The server collects online activity history with the user's permission. It receives the user's past behavioral data as input and stores it in a database. The output is organized activity history data for use in subsequent processing.

[0577] Step 2:

[0578] The server provides collected activity history data to a generative AI model to analyze user preferences. The input is the stored activity history data, and the generative AI model analyzes this data to learn patterns. The output is the analysis results showing user preferences and behavioral patterns.

[0579] Step 3:

[0580] The server uses a generative AI model to generate a virtual conversational character based on the user's preferences. The input is the analysis results obtained in the previous step, which are used to determine the character's attributes. The output is a virtual conversational character that matches the user's characteristics.

[0581] Step 4:

[0582] The terminal displays the generated virtual dialogue character on its screen. The input is character data received from the server. The output is the character display that the user can visually confirm.

[0583] Step 5:

[0584] Users interact with virtual conversational characters through their devices, expressing their interests and emotions. Input is provided by the user via voice or text, which is then analyzed by speech recognition and emotion analysis APIs. Output consists of the analyzed text and emotional state data.

[0585] Step 6:

[0586] The server analyzes the user's emotional state and recommends personalized products. The input is user emotional state data obtained from an emotional analysis API, which a generative AI model uses to identify appropriate products. The output is a list of products that match the user's needs.

[0587] Step 7:

[0588] Users can change the appearance and personality of their characters through online payments. Input consists of customization requests and payment data from the user, which the server processes. Output is the attribute data of the modified character, which is then displayed to the user as the updated character.

[0589] 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.

[0590] 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.

[0591] 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.

[0592] [Fourth Embodiment]

[0593] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0594] 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.

[0595] 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).

[0596] 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.

[0597] 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.

[0598] 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).

[0599] 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.

[0600] 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.

[0601] 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.

[0602] 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.

[0603] 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.

[0604] 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.

[0605] 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".

[0606] To implement this invention, a system involving three main elements—a server, a terminal, and a user—is required. The server collects the user's past online activity history and analyzes it using a generative AI model. This analysis identifies the user's preferences and generates an optimal virtual conversational character based on those preferences.

[0607] The generated virtual character is displayed on the user's device, and the user can interact with it. The device enables natural communication with the character through its user interface, and the user can customize the character's appearance and personality as needed through online payments.

[0608] For example, if a user enjoys sports, the server analyzes the user's interests using their sports-related search history and generates a character wearing a sports uniform. This character possesses extensive knowledge of sports and can enjoy discussing sports with the user.

[0609] The device provides character display and interaction functions, creating an environment that is easy for users to operate. Furthermore, it regularly sends user feedback to the server, which then uses this feedback to improve the AI ​​model. As a result, the system can adapt to the user over time, continuously providing a highly satisfying experience.

[0610] The following describes the processing flow.

[0611] Step 1:

[0612] The server collects past online activity history with the user's permission. This data includes information such as what topics the user searched for and which websites they visited.

[0613] Step 2:

[0614] The server inputs the collected historical data into an AI model to analyze user preferences. At this stage, the AI ​​model executes algorithms to identify themes and visual characteristics that the user prefers.

[0615] Step 3:

[0616] The server generates a virtual conversational character best suited to the user based on the analysis results of the AI ​​model. The generated character will have an appearance, personality, topics of conversation, and other settings tailored to the user's preferences.

[0617] Step 4:

[0618] The device displays the generated virtual character on the user's screen. The user can then begin interacting with the character through the interface.

[0619] Step 5:

[0620] Users interact with the character using their device. If further customization requests or new interests arise during the interaction, users can optionally pay online to change the character's appearance and personality.

[0621] Step 6:

[0622] The server receives user customization requests and applies the changes immediately. The character's appearance and the topics offered are updated according to the user's new requests.

[0623] Step 7:

[0624] Users submit feedback about the service they experienced via their device. This feedback is collected on a server and used to improve the service.

[0625] Step 8:

[0626] The server continuously updates its AI model based on feedback and new user data, improving the accuracy of future character generation processes. This results in a more personalized user experience and increased satisfaction.

[0627] (Example 1)

[0628] 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".

[0629] In modern society, providing digital content tailored to individual hobbies and interests is crucial, but conventional systems struggle to quickly respond to users' changing interests. Furthermore, a lack of personalized characters to provide more user-friendly interactions is a significant challenge.

[0630] 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.

[0631] In this invention, the server includes means for acquiring the user's past online activity history and identifying the user's preferences, means for constructing a virtual conversational character using a generative AI model based on the identified preferences, and means for engaging in natural conversation with the virtual conversational character based on the user's input. This enables the provision of personalized digital content and a more user-friendly experience.

[0632] "User's past online activity history" refers to records of the user's internet search history, websites accessed, content viewed, and online services used.

[0633] "Preferences" refer to specific fields, themes, or activities that a user shows interest in.

[0634] A "generative AI model" refers to an algorithm that uses artificial intelligence technology to analyze data and generate output tailored to a specific purpose.

[0635] A "virtual conversational character" refers to a digital character created on a computer and designed for the purpose of interacting with users.

[0636] A "display device" refers to hardware such as computers and smartphones that visually convey digital information to users.

[0637] "Online purchase" refers to the process of trading digital or physical goods or services over the internet.

[0638] "Evaluation information" refers to feedback provided by users regarding their user experience and the responsiveness of the system.

[0639] "The ability to adapt to the topic" refers to the virtual conversational character's ability to construct a conversation based on a specific theme or user interest and respond appropriately.

[0640] This system primarily consists of three elements: a server, a terminal, and a user, all working closely together to realize the invention. The server collects the user's past online activity history and analyzes the user's preferences based on this data. Specifically, it uses a database to securely store the user's web browser history and online service usage history on the server. Generative AI models are used for data analysis, and natural language processing technology is utilized to analyze the user's interests in detail.

[0641] Based on the analysis results, the server generates a virtual conversational character. This character generation uses an AI-based character creation tool, setting its appearance and personality according to the user's preferences. For example, for a user with a strong interest in sports, a character wearing a sports uniform will be generated and configured to have extensive knowledge of sports.

[0642] The generated virtual character is delivered to the user's device. The device displays the character using a user interface, providing an environment where the user can naturally interact with the character. By incorporating speech recognition and text analysis systems, the user can communicate with the character via voice or text and interact with it.

[0643] Users can customize their character's appearance and personality through online purchases. Furthermore, by providing feedback, the server continuously improves the AI ​​model, enhancing the character's performance and responsiveness. This feedback process allows the system to adapt to the user's individual needs over time, providing a superior user experience.

[0644] An example of a prompt message might be: "Generate an appropriate virtual conversational character based on the user's interests. For example, if the user has recently made many searches related to sports, provide a character with extensive knowledge of sports."

[0645] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0646] Step 1:

[0647] The server retrieves the user's past online activity history. This step involves collecting browser history and online service logs from a database and performing a cleansing process. The input consists of the user's unique ID and history data, and the output is organized user activity history data. Specifically, this involves deleting unnecessary data and standardizing the data format.

[0648] Step 2:

[0649] The server uses a generative AI model to identify user preferences based on collected historical data. The input is cleansed user historical data, which the AI ​​model analyzes to identify specific interest patterns. The output generates preference data indicating the user's areas of interest. Specifically, natural language processing techniques are used to extract keywords and frequently occurring topics.

[0650] Step 3:

[0651] The server generates a virtual conversational character based on identified preferences. The input is preference data, and an AI model constructs the appearance and personality of the personalized character. The output is the data of this custom character. For specific actions, character design software is used to create an avatar, and a personality based on preferences is programmed into it.

[0652] Step 4:

[0653] The server sends and displays the generated virtual character to the user's terminal. The terminal receives the character's 3D model data and action script and prepares it for display on the screen. The input is the generated character data, and the output is a character that can be visualized and manipulated on the terminal. Specifically, a graphics engine is used to display the character on the screen, making it interactive for the user.

[0654] Step 5:

[0655] The user interacts with a character on the device. This step involves voice or text interaction. The input is voice or text instructions from the user, which are analyzed by the device's voice recognition system. The output is an appropriate response from the character. Specifically, an AI dialogue engine generates responses in real time, and the character expresses those responses through voice and motion.

[0656] Step 6:

[0657] The terminal sends user feedback to the server. The input is the feedback data provided by the user, which the server receives and uses to improve the system. The output is the improved data for the AI ​​model. The specific operation includes a process of analyzing the feedback content and incorporating it into the training data for the AI ​​model.

[0658] (Application Example 1)

[0659] 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".

[0660] Currently, many brick-and-mortar stores find it difficult to provide customers with personalized service experiences. This can lead to customers not receiving information or product suggestions tailored to their preferences, potentially resulting in lower satisfaction. Furthermore, it places a significant burden on store staff, necessitating more efficient operations. In this context, it is essential to provide personalized guidance to customers, achieving both improved customer satisfaction and increased operational efficiency.

[0661] 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.

[0662] In this invention, the server includes means for collecting the user's past online activity history and analyzing the user's preferences, means for generating a personalized virtual conversational character for the user based on the analysis results, and means for guiding the user to a specific location through the device. This makes it possible to provide customers with effectively personalized guidance and improve the in-store experience.

[0663] "User's past online activity history" refers to digital data such as the user's actions on the internet, search history, and browsing history.

[0664] "Preference" refers to the individual user's likes and interests regarding specific products, services, or information.

[0665] A "virtual conversational character" is an artificial character that is displayed as a computer-generated image or avatar and has the ability to interact with the user.

[0666] A "user information display device" is an electronic device that allows a user to visually confirm information, and examples include smart glasses and personal digital assistants.

[0667] "Online billing" refers to electronic payment procedures conducted via the internet.

[0668] "Customizing appearance and personality" refers to users changing the look and behavioral characteristics of their virtual conversational character based on their choices.

[0669] "Guiding users in specific locations" means providing instructions and guidance to users through a device at physical stores or other locations.

[0670] This system consists of three elements: a server, a terminal, and a user, and the invention can be implemented in the following manner.

[0671] The server collects the user's past online activity history. This history data includes website browsing history, search history, and online purchase history, and is stored in a database. Based on this data, the server uses a generative AI model to analyze the user's preferences. Based on the analysis results, it generates a virtual conversational character tailored to the user's preferences. This generation utilizes the functions of the generative AI model, generating a character by providing specific themes and character traits as prompts.

[0672] The device takes the form of smart glasses or a personal digital assistant and displays a generated virtual conversational character on the user's screen. The device provides an application interface for interaction with the user and enables natural language processing via voice and text. Users can customize the character's appearance and personality through online payments. Furthermore, in specific locations, personalized guidance information is provided to the user through the device.

[0673] Users can interact with virtual conversational characters via their devices to receive navigation within the store and information about products. For example, if a user shows interest in shoes, the server analyzes their preferences and prompts the character to the running shoe section based on a message such as, "Based on the user's history, we've identified an interest in sports equipment. Start assisting them with the most popular running shoes."

[0674] This means that the information provided from the server through the terminal will be content tailored to the user's individual preferences, resulting in a more satisfying experience.

[0675] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0676] Step 1:

[0677] The server collects the user's online activity history. Specifically, it collects information such as the web pages the user has visited, search history, and purchase history, and stores this data in a database. The input is the user's browser and app usage history, and the output is the history data stored in the database.

[0678] Step 2:

[0679] The server analyzes user preferences based on collected historical data. Using a generative AI model, the server extracts themes and patterns of interest from the historical data. In this process, the input is historical data stored in a database, and the output is profile information indicating the user's preferences. Specifically, it calculates keyword frequency to identify areas of interest.

[0680] Step 3:

[0681] The server generates a virtual conversational character based on the results of preference analysis. It uses a generative AI model to design the character's appearance and personality, and generates the character by providing prompts based on a specific theme. The input is the user's profile information and the generative AI model, and the output is the attributes of the generated character. As a concrete example, the prompt "The user's history indicates an interest in sports equipment. Begin serving them with the most popular running shoes." is used.

[0682] Step 4:

[0683] The terminal displays a generated virtual conversational character to the user, providing a communication interface. The input is the attributes of the generated character, and the output is the character displayed on the user's terminal. This includes operations that display the character in real time using smart glasses or personal digital assistants (PDAs).

[0684] Step 5:

[0685] Users interact with virtual conversational characters and customize the character's appearance and personality as needed. The input is the user's actions, and the output is the customized character. Specific actions include selecting customization options through online billing.

[0686] Step 6:

[0687] The device sends user feedback to the server, which then uses this feedback to improve the generative AI model. The input is user feedback information, and the output is the improved generative AI model. Specifically, the generation process is adjusted based on the analysis of the feedback.

[0688] 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.

[0689] To implement this invention, it is crucial to build a system incorporating a server, a terminal, an emotion engine, and a user. The server first collects the user's past online activity history with the user's permission and provides this information to a generating AI model. The model analyzes this data and generates a personalized virtual conversational character based on the user's preferences.

[0690] The generated virtual conversational character is displayed on the user's device. The user interacts with the character through the interface, and during this process, the emotion engine analyzes the user's emotions from their voice and facial expressions. Based on the emotional state analyzed by the emotion engine, the server adjusts the character's response in real time to provide the user with an appropriate response.

[0691] Furthermore, users can freely customize their character's appearance and personality through online payments, providing an even more personalized experience. The device collects these user customization requests and sends them to the server, allowing for immediate adjustments to the character.

[0692] For example, if a user appears to be enjoying themselves during a conversation, the emotion engine will sense that positive emotion and adjust the character to provide a lively response that matches it. In this way, the conversation becomes more natural and flowing because the character responds appropriately to the user's current emotions.

[0693] The server regularly collects user feedback and analysis results from the emotion engine, and uses this information to improve the AI ​​model. This process allows the generation of virtual conversational characters and their emotion recognition capabilities to improve over time, enabling the system to continue providing users with a consistently satisfying experience.

[0694] The following describes the processing flow.

[0695] Step 1:

[0696] The server collects the user's past online activity history. Within the scope of the user's permission, it obtains search history and visited website data to use as foundational data for future analysis.

[0697] Step 2:

[0698] The server inputs the collected historical data into a generating AI model for analysis to identify user preferences. These identified preferences then influence the subsequent customization of the virtual character.

[0699] Step 3:

[0700] Based on the analysis results, the server generates a virtual conversational character that matches the user's preferences. Appearance and topic characteristics are also set at this stage.

[0701] Step 4:

[0702] The terminal receives data from the server and displays the generated virtual character on the user's screen. The user can then initiate interaction with this character through the interface.

[0703] Step 5:

[0704] The emotion engine analyzes the user's emotional state during the interaction. It identifies the user's emotions in real time, such as whether they are happy or sad, based on their voice tone and facial expressions.

[0705] Step 6:

[0706] The server receives analysis data from the emotion engine and adjusts the virtual character's response according to the user's emotions. This ensures that the character's response matches the user's emotional state.

[0707] Step 7:

[0708] If a user wants to change the appearance or personality of their virtual character, they can do so by making an online payment through their device. This action causes the server to update the character's attributes in real time.

[0709] Step 8:

[0710] The server collects user feedback and emotion engine analysis history, which is used to improve the accuracy of the AI ​​model. This will enable a more optimized character experience in the future.

[0711] (Example 2)

[0712] 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".

[0713] Traditional dialogue systems have struggled to provide personalized conversational experiences based on user preferences. Furthermore, they have been unable to create natural responses that reflect user emotions in real time, highlighting the need for improved user experience. Additionally, their limited customization options have sometimes prevented them from meeting user expectations.

[0714] 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.

[0715] In this invention, the server includes a device for collecting the user's past information activity history and analyzing the user's preferences; a device for generating a personalized virtual dialogue character for the user based on the analysis results; a device for displaying the generated virtual dialogue character on the user's terminal; a device for changing the appearance and characteristics of the virtual dialogue character through online payment; and a device for analyzing the user's voice and facial expressions to extract emotional information and adjust the virtual dialogue character's responses accordingly. This enables the provision of a personalized and natural dialogue experience and a high degree of customization to meet the user's expectations.

[0716] A "user" refers to a person or individual who uses a system, and is the subject who enjoys an experience based on their preferences and emotions.

[0717] "Information activity history" refers to historical data of various actions a user takes online, and may include website browsing history and app usage history.

[0718] "Preferences" refer to the specific tastes and interests that a user possesses, and are primarily used to personalize individual experiences.

[0719] A "virtual conversational character" is a digital character that is individually generated based on the user's preferences and is responsible for conversations and interactions with the user.

[0720] A "terminal" refers to a device used by a user to interact with a virtual dialogue character, and typically includes computers and smartphones.

[0721] "Online payment" refers to monetary transactions conducted via the internet, and is used when users customize their virtual dialogue characters.

[0722] "Appearance and characteristics" refer to the visual features and behavioral characteristics of the virtual dialogue character, and are elements that can be changed according to the user's wishes.

[0723] "Voice and facial expressions" refers to information that can be gleaned from the user's tone of voice and facial movements, and is used as data for emotion analysis.

[0724] "Emotional information" refers to data that numerically or qualitatively represents the user's mental state and is used to adjust the conversation.

[0725] "Adjusting responses" refers to appropriately changing the content and tone of the virtual dialogue character's conversation based on acquired emotional information, thereby optimizing the user experience.

[0726] In order to implement this invention, it is first necessary to build a system that includes a server, terminal, emotion engine, and user.

[0727] The server collects past information activity history with the user's permission. This data includes website browsing history and app usage history, and is used to analyze the user's preferences. The server then inputs the analyzed data into a generative AI model to generate a personalized virtual conversational character for the user. The generative AI model used at this stage also runs on the server.

[0728] The generated virtual conversational character is displayed on the terminal. The terminal typically refers to a device such as a computer or smartphone, and interaction with the character takes place in real time. Furthermore, users can modify the character's appearance and characteristics through online payments.

[0729] During the conversation, the emotion engine analyzes the user's voice and facial expressions in real time to obtain emotional information. This emotional information is sent to the server and used to adjust the character's responses. For example, if the user seems happy, the character will be adjusted to give more lively responses.

[0730] An example of a prompt might be, "The AI ​​model should infer the user's preferred conversational style based on past activity data and generate an appropriate virtual character." Using this prompt, the generating AI model can construct a character optimized for the user.

[0731] This system not only provides users with a more natural and fluid conversational experience, but also allows them to enjoy highly customized and personalized dialogue.

[0732] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0733] Step 1:

[0734] The server collects the user's past information activity history. This process gathers data on the web pages the user has viewed and the applications they have used. The input is the user's online activity data, and the output is user profile information that organizes this data. The server then uses this to store the user's preferences and topics of interest in a database.

[0735] Step 2:

[0736] The server inputs collected user profile information into a generating AI model to analyze user preferences. The input is organized user profile information, and the output is analysis results including user preferences and patterns. This analysis allows the server to build the foundation for generating a virtual conversational character that is optimal for the user.

[0737] Step 3:

[0738] The server generates a virtual conversational character using a generative AI model based on the analysis results. The input is the analysis results indicating the user's preferences, and the output is a customized virtual conversational character. The server generates this character and prepares to send it to the terminal.

[0739] Step 4:

[0740] The terminal receives a virtual dialogue character sent from the server and displays it on the screen. The input is character data sent from the server, and the output is the character that the user can visually confirm through the interface. The terminal allows the character to be manipulated in real time to enable interaction with the user.

[0741] Step 5:

[0742] The user interacts with a virtual dialogue character through their device. During this process, an emotion engine analyzes the user's voice and facial expressions in real time. The input is the user's voice and facial expression data, and the output is the analysis result indicating the user's emotional state. The emotion engine transmits this data to the server in real time.

[0743] Step 6:

[0744] The server receives analysis results from the emotion engine and adjusts the responses of the virtual dialogue character. The input is the emotion analysis result from the emotion engine, and the output is the adjusted character response. The server then provides dialogue that is appropriately matched to the user's current emotions.

[0745] Step 7:

[0746] Users can change the appearance and characteristics of their characters through online payments. The terminal receives the user's customization request and sends it to the server. The input is the user's customization request data, and the output is the updated character attributes. The server applies this immediately and sends it to the terminal.

[0747] (Application Example 2)

[0748] 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".

[0749] In modern online shopping, users face challenges such as difficulty in selecting products based on their preferences and emotions, and limited means of obtaining a personalized shopping experience. Furthermore, there is a need for natural dialogue through virtual conversational characters that provide responses that take user emotions into consideration.

[0750] 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.

[0751] In this invention, the server includes means for collecting the user's past online activity history and analyzing their preferences, means for generating and displaying an individualized virtual conversational character on an information terminal, and means for analyzing the user's emotional state and recommending personalized products. This allows the user to receive personalized product recommendations based on their preferences and emotions.

[0752] A "user" refers to an individual who interacts with a virtual dialogue character.

[0753] "Online activity history" refers to a record of a user's actions on the internet, including website browsing history and purchase history.

[0754] "Preferences" refer to the individual tastes and preferences of a user, and are inferred based on their past actions and choices.

[0755] A "virtual conversational character" is a digital person created by a generative AI model that provides information and recommends products through dialogue with the user.

[0756] An "information terminal" refers to a device, such as a smartphone, tablet, or computer, that displays a virtual dialogue character and interacts with the user.

[0757] "Online billing" refers to payment processing conducted via the internet and is used for things like customizing virtual dialogue characters.

[0758] "Emotional state" refers to the mental state analyzed from the user's facial expressions and voice, and is used to adjust the character's responses in dialogue.

[0759] "Personalized products" refer to products that have been specially selected to match the user's preferences and emotions, thus meeting the user's individual needs.

[0760] This invention is a system that generates personalized virtual conversational characters using a user's past online activity history and provides them to the user. The server collects the user's authorized online activity history and analyzes it using a generation AI model. Specifically, it uses a cloud service API for emotion analysis, for example, using Azure's emotion analysis API to determine the user's emotional state from their voice and facial expressions.

[0761] The user terminal consists of information devices such as smartphones and computers, and displays a generated virtual conversational character. Users can interact with this conversational character and receive product recommendations based on their preferences and desires. Furthermore, it is possible to freely change the character's appearance and personality using online payment.

[0762] For example, if a user tells a character that they are "looking for new fashion for the season but don't know what style is best," the character will recommend the most suitable items based on the user's past history and current emotions.

[0763] An example of a prompt message to implement such a system is as follows: "Recommend personalized products based on the user's purchase history and online activity data, and adjust the dialogue character's responses appropriately according to the user's emotional state."

[0764] The hardware used is a smartphone or tablet operated by the user, through which real-time character responses and product recommendations are realized.

[0765] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0766] Step 1:

[0767] The server collects online activity history with the user's permission. It receives the user's past behavioral data as input and stores it in a database. The output is organized activity history data for use in subsequent processing.

[0768] Step 2:

[0769] The server provides collected activity history data to a generative AI model to analyze user preferences. The input is the stored activity history data, and the generative AI model analyzes this data to learn patterns. The output is the analysis results showing user preferences and behavioral patterns.

[0770] Step 3:

[0771] The server uses a generative AI model to generate a virtual conversational character based on the user's preferences. The input is the analysis results obtained in the previous step, which are used to determine the character's attributes. The output is a virtual conversational character that matches the user's characteristics.

[0772] Step 4:

[0773] The terminal displays the generated virtual dialogue character on its screen. The input is character data received from the server. The output is the character display that the user can visually confirm.

[0774] Step 5:

[0775] Users interact with virtual conversational characters through their devices, expressing their interests and emotions. Input is provided by the user via voice or text, which is then analyzed by speech recognition and emotion analysis APIs. Output consists of the analyzed text and emotional state data.

[0776] Step 6:

[0777] The server analyzes the user's emotional state and recommends personalized products. The input is user emotional state data obtained from an emotional analysis API, which a generative AI model uses to identify appropriate products. The output is a list of products that match the user's needs.

[0778] Step 7:

[0779] Users can change the appearance and personality of their characters through online payments. Input consists of customization requests and payment data from the user, which the server processes. Output is the attribute data of the modified character, which is then displayed to the user as the updated character.

[0780] 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.

[0781] 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.

[0782] 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.

[0783] 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.

[0784] 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.

[0785] 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.

[0786] 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.

[0787] 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.

[0788] 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."

[0789] 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.

[0790] 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.

[0791] 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.

[0792] 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.

[0793] 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.

[0794] 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.

[0795] 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.

[0796] 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.

[0797] 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.

[0798] 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.

[0799] 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.

[0800] 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.

[0801] The following is further disclosed regarding the embodiments described above.

[0802] (Claim 1)

[0803] A means of collecting users' past online activity history and analyzing their preferences,

[0804] A means for generating a personalized virtual conversational character for the user based on the analysis results,

[0805] A means for displaying the generated virtual dialogue character on the user's device,

[0806] Through online payments, a means to customize the appearance and personality of virtual conversational characters,

[0807] A system that includes this.

[0808] (Claim 2)

[0809] The system according to claim 1, further comprising means for collecting user feedback and using it to improve the generation means.

[0810] (Claim 3)

[0811] The system according to claim 1, further comprising means for enabling the virtual conversational character to respond to specific topics based on the user's preferences.

[0812] "Example 1"

[0813] (Claim 1)

[0814] A means of obtaining a user's past online activity history and identifying the user's preferences,

[0815] A means of constructing a virtual conversational character using a generative AI model based on identified preferences,

[0816] A means for presenting a constructed virtual dialogue character on the user's display device,

[0817] Through online purchases, a means to adjust the appearance and personality of virtual conversational characters,

[0818] A means for engaging in natural conversation with a virtual dialogue character based on user input,

[0819] A system that includes this.

[0820] (Claim 2)

[0821] The system according to claim 1, further comprising means for collecting user evaluation information and using it to improve the construction means.

[0822] (Claim 3)

[0823] The system according to claim 1, wherein the virtual conversational character has the ability to adapt to specific topics related to the user's preferences.

[0824] "Application Example 1"

[0825] (Claim 1)

[0826] A means of collecting users' past online activity history and analyzing their preferences,

[0827] A means for generating a personalized virtual conversational character for the user based on the analysis results,

[0828] A means for displaying the generated virtual dialogue character on the user's information display device,

[0829] Through online payments, a means to customize the appearance and personality of virtual conversational characters,

[0830] A means of guiding the user to a specific location through the device,

[0831] A system that includes this.

[0832] (Claim 2)

[0833] The system according to claim 1, further comprising means for collecting user feedback and using it to improve the generation means.

[0834] (Claim 3)

[0835] The system according to claim 1, further comprising means for enabling the virtual conversational character to have the ability to respond to specific topics based on the user's preferences, as well as the ability to perform guidance services at specific locations.

[0836] "Example 2 of combining an emotion engine"

[0837] (Claim 1)

[0838] A device that collects a user's past information activity history and analyzes the user's preferences,

[0839] A device that generates a personalized virtual dialogue character for the user based on the analysis results,

[0840] A device that displays the generated virtual dialogue character on the user's terminal,

[0841] A device that allows users to change the appearance and characteristics of a virtual dialogue character through online payment,

[0842] A device that analyzes the user's voice and facial expressions to extract emotional information and adjusts the response of a virtual dialogue character based on that information,

[0843] A system that includes this.

[0844] (Claim 2)

[0845] The system according to claim 1, further comprising a device for collecting user feedback and using it to improve the generation device.

[0846] (Claim 3)

[0847] The system according to claim 1, further comprising a device that enables the virtual dialogue character to respond to specific topics based on the user's preferences.

[0848] "Application example 2 when combining with an emotional engine"

[0849] (Claim 1)

[0850] A device that collects users' past online activity history and analyzes their preferences,

[0851] A device that generates a personalized virtual conversational character for the user based on the analysis results,

[0852] A device that displays a generated virtual dialogue character on the user's information terminal,

[0853] A device that allows users to change the appearance and personality of a virtual conversational character through online billing,

[0854] A device that analyzes the user's emotional state and recommends personalized products,

[0855] A system that includes this.

[0856] (Claim 2)

[0857] The system according to claim 1, further comprising a device for collecting user feedback and using it to improve the generation device.

[0858] (Claim 3)

[0859] The system according to claim 1, further comprising a device that enables the virtual dialogue character to respond to specific topics or products based on the user's preferences. [Explanation of Symbols]

[0860] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of collecting users' past online activity history and analyzing their preferences, A means for generating a personalized virtual conversational character for the user based on the analysis results, A means for displaying the generated virtual dialogue character on the user's device, Through online payments, a means to customize the appearance and personality of virtual conversational characters, A system that includes this.

2. The system according to claim 1, further comprising means for collecting user feedback and using it to improve the generation means.

3. The system according to claim 1, further comprising means for enabling the virtual conversational character to respond to specific topics based on the user's preferences.

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