system

Abstract

We provide the system. [Solution] A means of saving the basic information entered by the user, A means for generating a virtual partner based on user selection using a generated artificial intelligence model, A means for generating individual responses based on the user's interaction history, A means of performing functions to support daily life in conjunction with external services, A means for users to interact with a virtual partner while on a mobile device and receive life support, A system that includes this.

Description

Technical Field

[0005] ,

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, 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 recent years, with the development of artificial intelligence technology, users have come to desire interactions with customizable virtual partners. However, in conventional systems, it is difficult for users to generate virtual partners with their preferred appearances and voices, and there is also a problem that flexible and personalized services for supporting users' lives cannot be provided. Against this background, there is a need to simultaneously realize the generation of virtual partners according to individual user needs and the function of supporting daily life thereby.

Means for Solving the Problems

[0005] This invention provides a means for customizing and generating a virtual partner based on user input information. Furthermore, the generated virtual partner is capable of creating individually customized responses based on the user's conversation history. In addition, by integrating with external services, it includes means for providing support tailored to various user needs in their daily lives. This allows users to obtain a more personal and interactive virtual partner experience.

[0006] A "user" refers to an individual or group that uses the system to interact with a virtual partner.

[0007] An "artificial intelligence model" refers to an algorithm or method designed to learn from data and perform a specified task.

[0008] A "virtual partner" is a digital character generated according to the user's preferences, and it is possible to interact with it through voice and video.

[0009] "Dialogue history" refers to a collection of data that records the content of past conversations between the user and the virtual partner.

[0010] "External services" refer to online services provided by external third parties to provide information or make reservations in response to user requests.

[0011] An "external API" refers to an interface that allows one piece of software to provide functionality to another piece of software, enabling data exchange between different systems. [Brief explanation of the drawing]

[0012] [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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which multiple emotions are mapped. [Figure 10] It shows an emotion map to which multiple emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Embodiments for Carrying Out the Invention

[0013] 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.

[0014] First, the language used in the following description will be explained.

[0015] In the following embodiments, the labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0016] In the following embodiments, the labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0017] In the following embodiments, the labeled storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0018] In the following embodiments, the labeled communication I / F (Interface) is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), etc.

[0019] 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."

[0020] [First Embodiment]

[0021] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0022] 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.

[0023] 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).

[0024] 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.

[0025] 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.

[0026] 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.

[0027] 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.

[0028] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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".

[0033] This invention provides a system that allows users to interact with a virtual partner with characteristics of their choosing and receive daily support. Users first access the system using a terminal and create an account. During this process, users input their basic information and send it to the server. The server stores this information in a database to facilitate user identification.

[0034] Next, the user selects facial features and voice type on the device's interface to generate their preferred virtual partner. The device sends the user's selections to the server, which uses a generative AI model to create the virtual partner. The generated data is stored on the server and is available each time the user requests it.

[0035] When a user initiates a conversation with a virtual partner through their device, they use text or voice messages. Messages sent from the device are parsed by the server, which generates an appropriate response. Based on the conversation history collected through this process, the server provides a more personalized response to the user. This response information is returned to the user's device as voice or text.

[0036] Furthermore, the system integrates with external services to provide support for users' daily lives tailored to their needs. For example, if a user wishes to make a restaurant reservation, the terminal transmits this request to the server. The server then uses the relevant external API to retrieve restaurant information and confirm the reservation. Through this process, users can conveniently and efficiently utilize virtual partners.

[0037] The system provided by this system is flexible enough to respond to individual user needs and can continuously evolve through interaction with users. Specific examples of its use include checking daily weather forecasts and creating lists of recommended movies, among other diverse everyday situations.

[0038] The following describes the processing flow.

[0039] Step 1:

[0040] The user launches the application on their device and accesses the account creation screen. The device displays a form prompting the user to enter their name, email address, and password.

[0041] Step 2:

[0042] The user enters the required information and taps the "Submit" button. The device converts this data into a structured format and sends it to the server using a secure protocol (HTTPS).

[0043] Step 3:

[0044] The server verifies the received user information and creates a new user account in the database. The server returns a response to the terminal indicating that the account creation was successful.

[0045] Step 4:

[0046] The user opens the AI ​​partner feature selection screen on their device. The device displays options for facial features and voice type as a visual interface.

[0047] Step 5:

[0048] The user selects features according to their preferences. The device generates a request to send the selected data to the server.

[0049] Step 6:

[0050] The server creates an AI partner using a generated AI model based on selected features. It generates facial image data and voice samples, and stores the data.

[0051] Step 7:

[0052] The server sends information about the generated AI partner to the terminal. The terminal displays this information and allows the user to confirm it.

[0053] Step 8:

[0054] The user sends a message to the AI ​​partner through their device. The device converts the message into text data and sends it to the server.

[0055] Step 9:

[0056] The server analyzes the messages it receives. It uses a natural language processing engine to understand the intent and content of the messages.

[0057] Step 10:

[0058] The server generates response text using a dialogue generation model. The generated response is personalized, taking into account past dialogue history.

[0059] Step 11:

[0060] The server sends the generated response to the terminal. The terminal displays the response to the user in either audio or text format.

[0061] Step 12:

[0062] A user makes a specific support request via their device (e.g., "Please make a reservation at a nearby restaurant"). The device sends this request to the server.

[0063] Step 13:

[0064] The server analyzes the request and calls the appropriate external API to retrieve restaurant information and process reservations.

[0065] Step 14:

[0066] The server processes information obtained from external services and provides the user with a suggested result. The terminal displays this and asks the user for confirmation.

[0067] Step 15:

[0068] The user reviews the suggestions and makes a final selection. The terminal sends the user's selection to the server, which completes the reservation.

[0069] (Example 1)

[0070] 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."

[0071] Conventional information and communication systems have found it difficult to personalize interactions with individual users, and have not provided sufficient means to effectively support daily life. There was a need to provide a partner using generative AI models to a large, unspecified number of users, enabling individualized responses and the utilization of external services.

[0072] 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.

[0073] In this invention, the server includes means for storing basic information entered by the user via an information processing device, means for creating a virtual conversation partner based on the user's selection using a generative AI model, and means for creating individual responses based on the user's conversation history. This enables personalized support for the user and effective assistance in daily life.

[0074] "Information processing equipment" refers to electronic devices used by users to access and operate systems.

[0075] "Basic information" refers to data such as the user's name and contact information, which is necessary for identifying the user and providing services.

[0076] A "generative AI model" is an artificial intelligence technology that creates a virtual conversation partner based on user selections.

[0077] A "virtual conversation partner" is a computer-based conversation partner generated based on the characteristics selected by the user.

[0078] "User interaction history" refers to a record of past interactions between the user and the system.

[0079] "External functions" refer to services or APIs that exist outside the system but can be integrated with it.

[0080] "Sound characteristics" refer to the characteristics of a voice, and are the elements that constitute the unique voice of a virtual conversation partner.

[0081] "External data communication means" refers to methods for exchanging data with external services and information sources via a network.

[0082] This invention provides an information processing system to support users in their daily lives through interaction with a virtual dialogue partner. The system is broadly composed of a terminal used by the user and a server that manages and processes data.

[0083] First, users access the system using a terminal, which is an information processing device, and input their basic information. This includes basic information such as their name and email address, and the terminal plays the role of securely encrypting this data and sending it to the server. The server stores this basic information in a database to make it easier to identify users.

[0084] Next, the user can select a virtual conversation partner through the terminal's interface. Since the virtual conversation partner is created using a generative AI model, its facial features and vocal characteristics are set based on the user's selection. This results in a highly personalized conversation partner. The server stores the generated model in a database, allowing the user to access it at any time.

[0085] When a user initiates a conversation with a virtual partner, the terminal plays a role through the exchange of text or voice messages. The server analyzes the messages sent by the user using natural language processing technology and generates appropriate responses through an AI model. The generated responses are returned to the user as voice or text. The server also manages the conversation history with the user and provides personalized responses based on the context of the conversation.

[0086] Furthermore, the system can interact with external functions to provide various forms of daily support. For example, if a user wishes to make a restaurant reservation, the server retrieves the reservation information via external data communication and returns the result to the terminal along with confirmation. This process can also be used to provide weather information or generate movie recommendation lists.

[0087] Examples of prompt phrases in this invention include: "The virtual partner will provide the user with clothing advice based on the current weather information," and "How will the virtual partner provide personalized customer service based on the elements selected by the user?"

[0088] The entire system is configured to provide a highly flexible and personalized user experience.

[0089] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0090] Step 1:

[0091] Users access the system and create an account using a terminal. Users enter basic information such as their name, email address, and password. The terminal validates the entered information, encrypts it, and sends it to the server. During this process, the terminal checks the input data for defects and errors, and applies encryption to ensure security. The server stores the received information in a database, enabling individual user identification.

[0092] Step 2:

[0093] The user selects the facial features and sound characteristics of their virtual conversation partner through the terminal's interface. The terminal packages the user's selection information and sends it to the server. The server uses a generative AI model to generate prompts based on the user's selections and inputs them into the model. The AI ​​model generates a virtual conversation partner based on the presented prompts and saves the data to the server. In this process, a customized virtual conversation partner is created that takes the selected elements into consideration.

[0094] Step 3:

[0095] The user initiates a conversation with a virtual partner through their device. Input is either a text message or a voice message, which the device sends to the server. The server analyzes the received message using natural language processing and also refers to the conversation history to understand the context of the conversation. A response is generated by an AI model and returned to the user's device in text or voice format. After analysis, an appropriate response is generated and provided to the user.

[0096] Step 4:

[0097] The user wishes to perform actions through external services, such as making restaurant reservations or inquiring about information. The terminal sends this request to the server. The server uses external data communication means to send requests to the relevant external services and retrieve information in real time. The server processes the retrieved information and returns reservation confirmations or detailed information to the terminal, thereby meeting the user's needs. In this step, the user's request is fulfilled through access to external resources.

[0098] (Application Example 1)

[0099] 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."

[0100] In modern living environments, it is crucial to efficiently support daily life and improve the quality of interaction between users and virtual partners. However, existing systems have limitations in use within mobile devices, making it difficult to provide support that is fully adapted to the user's lifestyle. Furthermore, responses and support that are appropriate to the user's situation while on the move are insufficient, so a new method is needed to solve this problem.

[0101] 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.

[0102] In this invention, the server includes means for storing basic information entered by the user, means for generating a virtual partner based on the user's selection using a generated artificial intelligence model, and means for generating individual responses based on the user's dialogue history. This enables efficient and smooth dialogue with the virtual partner even while on the move, and allows for flexible life support adapted to the user's lifestyle.

[0103] "Basic information" refers to personal data and attribute information about the user, which is used for user identification and customization of virtual partners.

[0104] An "artificial intelligence model" is an automated generation program that creates virtual partners based on user requests, and is a technology used for data analysis and response generation.

[0105] A "virtual partner" is a digital, fictional partner with whom a user can interact, and it is a program that plays a role in supporting the user's life.

[0106] A "means for generating responses" refers to a function that creates appropriate answers to questions or instructions from the user.

[0107] "External services" refer to databases and software services provided by third parties connected via the internet, which are used to assist users in their daily lives.

[0108] A "mobile device" is a device or apparatus that is portable or movable by the user and serves as the platform for using this system.

[0109] The system of this invention consists of a user, a server, and a terminal. The user first accesses the system using the terminal and creates an account. During this process, the user enters their basic information and sends it to the server. This basic information is stored in a database and serves as the basis for identifying the user.

[0110] Next, the user selects characteristics to generate their preferred virtual partner via the terminal's interface. The selected information is sent from the terminal to the server, which uses a generation AI model to create the virtual partner. The generated virtual partner data is stored on the server and can be retrieved by the user when needed.

[0111] When users interact with their virtual partners via their devices, they can use voice or text messages. Messages sent from the device are analyzed by the server, and individual responses are generated. These responses are created by a generative AI model and returned to the device as voice or text. This allows users to have richer communication with their virtual partners.

[0112] Furthermore, the server integrates with external services to provide the support users need in their daily lives. For example, if a user wants to make a restaurant reservation through a virtual partner, the server can use an external API to retrieve the necessary information and confirm the reservation. This allows users to efficiently manage their lives without having to go through cumbersome procedures.

[0113] The primary software used includes generative AI models (e.g., models provided by OpenAI®) and voice dialogue analysis software (e.g., voice services provided by Amazon). For example, if a user asks, "What's the movie schedule for this weekend?", the virtual partner will retrieve the latest movie information via the internet and provide the user with appropriate advice.

[0114] Example of a prompt:

[0115] "Create a virtual partner for your home robot using a generative AI model and help manage your weekend cleaning schedule."

[0116] This system provides users with flexible and adaptive services through mobile terminals, enabling them to interact with virtual partners and receive support in their daily lives.

[0117] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0118] Step 1:

[0119] Users access the system using a terminal and create an account. During this process, users enter basic information such as their name and contact details, and send this information to the server via the terminal. The server stores the received basic information in a database, building a dataset that uniquely identifies the user. The input is the user's basic information, and the output is the user information stored in the database.

[0120] Step 2:

[0121] The user selects facial recognition data and voice type for a virtual partner that suits their preferences on the device's interface. The selected data is sent from the device to the server. The server uses a generative AI model to generate a virtual partner based on the user's selection. The input is the user's selection information, and the output is the generated virtual partner data.

[0122] Step 3:

[0123] To initiate a conversation with a virtual partner, the user sends a voice or text message through their device. The device (or cloud-based platform) receives the message and sends it to a server. The server analyzes the message and generates an appropriate response using an AI model. The input is the voice or text message from the user, and the output is the response message.

[0124] Step 4:

[0125] The server generates response data for the virtual partner and sends it to the terminal in voice or text format. The terminal provides the received response to the user using speech synthesis software or text display functionality. The input is the response message, and the output is the voice or text feedback displayed on the terminal.

[0126] Step 5:

[0127] When a user requests specific assistance, such as making a restaurant reservation, through a virtual partner, the terminal sends the request to a server. The server calls an external API to retrieve the necessary information (e.g., available reservation times) and completes the process. The input is the user's specific request, and the output is information retrieved from an external service or the result of a completed task.

[0128] Step 6:

[0129] The server returns the processing results from the external API to the terminal, providing appropriate feedback to the user. The terminal presents the received information to the user and fulfills the user's needs as a virtual partner. The input is information from the external API, and the output is feedback information provided to the user.

[0130] 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.

[0131] This invention provides a system equipped with emotion recognition capabilities that enables users to interact with virtual partners possessing their preferred characteristics. The user launches the application using a terminal and first creates an account. During this process, they are prompted to enter their name, email address, and password, and this information is sent from the terminal to the server. The server stores this information in a database and uses it to identify each user.

[0132] Next, the user selects the appearance and voice of their virtual partner via their device. The user's selected features are sent to a server, where a generation AI model is used to create the virtual partner. The generated result is stored on the server and kept in a format that the user can always use.

[0133] When a user initiates a conversation with a virtual partner, they use their device to input text or voice. This input is sent to a server and analyzed by a natural language processing engine. Furthermore, an emotion engine analyzes the user's emotions from their input, and the virtual partner's response is adjusted based on this information. This provides the user with a more appropriate and empathetic response.

[0134] As a concrete example, suppose a user sends a message indicating they are feeling tired. In this case, the emotion engine analyzes and recognizes emotions such as "fatigue" and "stress." As a result, the virtual partner can provide an appropriate response such as, "Perhaps you should relax a little today."

[0135] In particular, when a user requests assistance with daily life through their device, for example, "Please book a movie theater ticket for tomorrow night," the device sends the request to the server. The server utilizes its internal generative AI model and emotion engine to obtain the optimal result via an external API and propose it to the user.

[0136] This system provides a flexible and personalized virtual partner experience that takes user emotions into consideration, particularly by leveraging emotion recognition to facilitate communication and optimize support for daily life.

[0137] The following describes the processing flow.

[0138] Step 1:

[0139] The user launches the application on their device and opens the account creation screen. The device displays an interface for the user to enter their name, email address, and password.

[0140] Step 2:

[0141] The user enters the required information and presses the "Submit" button. The terminal sends the input data to the server using a secure communication protocol (HTTPS).

[0142] Step 3:

[0143] The server receives the sent user information, creates a new account in the database, and saves the information. The server then returns a response to the terminal indicating that the account creation was successful.

[0144] Step 4:

[0145] The user accesses the virtual partner's characteristics settings screen on their device. The device displays an interface that provides the user with options such as facial features and voice type.

[0146] Step 5:

[0147] The user selects the desired characteristics of their virtual partner. The terminal generates a request to send the selected configuration information to the server.

[0148] Step 6:

[0149] The server receives the user's selection information and generates a virtual partner using a generative AI model. The generated facial image data and voice samples are stored on the server.

[0150] Step 7:

[0151] The server sends information about the generated virtual partner to the terminal, and the terminal displays the information to the user. The user can then review and approve the generated result.

[0152] Step 8:

[0153] The user enters a text or voice message using their device to initiate a conversation with their virtual partner. The device then sends the message to the server.

[0154] Step 9:

[0155] The server uses a natural language processing engine to analyze messages received from users. Simultaneously, it uses an emotion engine to recognize and analyze the user's emotions from the messages.

[0156] Step 10:

[0157] The server generates a personalized response based on the analysis results, taking into account the user's emotions. A dialogue generation model is used for this purpose.

[0158] Step 11:

[0159] The server sends the generated response to the terminal. The terminal then presents the response to the user in either audio or text format and displays it to the user.

[0160] Step 12:

[0161] The user makes a specific request through the device (e.g., "Make a restaurant reservation"). The device sends this request to the server.

[0162] Step 13:

[0163] The server analyzes the received request in detail to identify the necessary processing. It then calls external APIs to perform reservation and information retrieval procedures.

[0164] Step 14:

[0165] The server processes the results returned from the external service and creates a suggestion for the user based on that. The terminal displays this suggestion and asks the user for confirmation.

[0166] Step 15:

[0167] After the user reviews the suggested options, they can make a final selection or be instructed to do so. The terminal sends this selection information to the server, which then completes the specified procedure.

[0168] (Example 2)

[0169] 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".

[0170] In recent years, there has been a growing demand for virtual dialogue systems that provide users with emotionally supportive and personalized experiences. However, existing technologies lack sufficient methods to appropriately recognize and reflect user emotions in responses, and also lack efficient ways to seamlessly integrate with external services. As a result, virtual dialogues often feel mechanical and fail to satisfy users.

[0171] 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.

[0172] In this invention, the server includes means for recording personal identification information entered by the user, means for generating a virtual dialogue partner based on the user's preferences using an information processing model generated via a remote data processing device, and means for analyzing the communication content received from the user, extracting emotions using natural language processing means, and individually adjusting the response. This enables natural and empathetic responses that correspond to the user's emotional state, and further provides functions that smoothly support daily activities.

[0173] A "user" is an individual or group that operates the system and receives personal experiences or information from it.

[0174] "Personal identification information" refers to information used to identify a user, and typically includes information such as name, email address, and password.

[0175] A "remote data processing device" is a computer system or server used to process data and generate output in response to user input.

[0176] An "information processing model" is a model designed to analyze data using machine learning algorithms and neural networks and to perform a specific task.

[0177] A "virtual dialogue target" is a digital agent or character created on a computer that can interact with a user.

[0178] "Natural language processing" refers to technologies and processes that understand human language input as text or speech and convert it into structured data.

[0179] "Means for extracting emotions and individually adjusting responses" refers to technology that identifies the user's emotions from the input information and changes the content and nuances of the response accordingly.

[0180] This invention is a system for providing a virtual dialogue experience that responds to the user's emotions. The system includes a series of steps for processing user input information, recognizing emotions, and generating responses.

[0181] The user first launches the application using a terminal and enters their personal identification information. The terminal sends the entered data to the server. The server stores the data in a database, enabling user-specific identification. The server also uses a data processing device located remotely to create an information processing model and generate a virtual conversational partner based on the user's preferences.

[0182] After a virtual conversation partner is created, the user begins interacting with the virtual agent through their terminal. Messages, entered as text or voice, are sent from the terminal to the server. The server analyzes the received messages using natural language processing and also uses an emotion analysis engine to extract the user's emotions.

[0183] After emotions are extracted, the server uses a generative AI model to generate responses from the virtual agent. This response generation may involve prompts, such as "Generate a virtual dialogue response for when the user feels joy." This enables natural, empathetic conversations that are sensitive to the user's emotions.

[0184] The server also has the ability to connect with external information services to assist users with tasks they need in their daily lives. For example, in response to a request such as "Please make a restaurant reservation for tomorrow night," the server can use an external API to make the reservation and inform the user of the result.

[0185] This system generates responses that correspond to the user's emotions, enabling support in various aspects of daily life. By combining complex emotion recognition and natural language processing technologies, it provides a personalized experience.

[0186] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0187] Step 1:

[0188] The user launches the application on their device and enters personal identification information. This information includes the user's name, email address, and password. The device sends this information to the server. The server stores the received personal identification information in a database and generates a unique ID for the user. This process ensures that the user can be identified and authenticated for future access.

[0189] Step 2:

[0190] The user selects the appearance and voice characteristics of a virtual conversation partner via a terminal. The terminal sends the user's preference information to the server. The server uses this as a trigger to activate a generative AI model and generate a virtual agent by inputting a prompt message. The prompt message is in the form of "Please generate a virtual agent that matches the characteristics selected by the user." The generated virtual agent is stored on the server.

[0191] Step 3:

[0192] The user initiates interaction with a virtual agent using a terminal. The user inputs a message via text or voice on the terminal, which then sends it to the server. The server passes the received message to a natural language processing engine, which tokenizes the text data and analyzes its grammatical structure. Based on the analysis results, the server understands the meaning and structure of the message.

[0193] Step 4:

[0194] The server passes the analyzed message to the emotion engine, which extracts the user's emotions from the message. The emotion engine assigns emotion labels such as "joy," "sadness," and "fatigue" based on the words and tone of the message. Using this information, the server adjusts the content of its response.

[0195] Step 5:

[0196] The server uses a generative AI model to generate responses for the virtual agent. This process involves inputting emotion-sensitive prompts into the generative AI model to generate appropriate responses. The generated responses will be tailored to the user's emotions.

[0197] Step 6:

[0198] The server sends the generated response to the terminal. The terminal can then display this response to the user or play it back using its audio output function. This allows the user to continue the conversation and enables interaction with the virtual agent.

[0199] Step 7:

[0200] If a user requests routine support as needed, the device sends the request to the server. The server uses external APIs to make reservations and retrieve information, and then sends the results back to the device. For example, it can respond to requests such as "Please reserve movie tickets."

[0201] (Application Example 2)

[0202] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0203] In the daily lives of those receiving care, there is a need for systems that provide appropriate support and empathetic communication tailored to their emotions. However, conventional technologies have limited ability to recognize emotions and respond accordingly, making it difficult to provide personalized support. Furthermore, there are problems with the efficient management of daily schedules and task suggestions.

[0204] 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.

[0205] In this invention, the server includes means for storing basic information entered by the user, means for generating a virtual partner based on the user's selection using a generated artificial intelligence model, and means for generating individual responses based on the user's interaction history and sentiment analysis. This makes it possible to provide empathetic responses that respond to emotions, manage the user's daily schedule and tasks, and enable more personalized support.

[0206] "Means for saving basic information entered by the user" refers to a mechanism for storing basic data such as the user's name, email address, and password in a storage device.

[0207] "A means of generating a virtual partner based on user selection using a generated artificial intelligence model" refers to a technology that utilizes a pre-trained generative AI model to create a virtual partner that matches the appearance and voice characteristics selected by the user.

[0208] "Means for generating individual responses based on user interaction history and sentiment analysis" refers to a system that manages past communication history and generates responses tailored to individual users based on the results of analyzing the emotional state that can be gleaned from the user's input.

[0209] "A means of supporting daily life and managing schedules and tasks in conjunction with external services" refers to a system that supports the management of activities and events related to the user's life while exchanging data with other applications and services via the internet.

[0210] "Providing empathetic responses that respond to emotions" means analyzing the user's emotional state and returning a thoughtful response that takes that state into consideration.

[0211] "More personalized support" means providing personalized services and suggestions based on each user's individual needs, emotions, and past history.

[0212] In an embodiment for carrying out the invention, the system is configured as follows.

[0213] The system begins with the user entering basic information through an interface. Data such as the user's name, email address, and password are stored in a dedicated storage device. This device manages the fundamental information necessary for user authentication and service personalization.

[0214] Next, the generated artificial intelligence model is utilized to create a virtual partner based on the user's selected appearance and voice characteristics. This generation process is handled by servers in the cloud, and advanced calculations are performed by the generating AI model as needed. The generation results are stored on the servers and kept available to the user at any time.

[0215] For user interactions, a natural language processing engine (e.g., a natural language processing model) is used to analyze the input content. Following the analysis, an emotion analysis engine (e.g., an emotion analysis program) extracts emotions from the input message and automatically generates empathetic responses based on that data. This response generation process is designed to always provide appropriate content that is attentive to the user's emotions.

[0216] For example, if a user says "I'm feeling a bit down today" on their smartphone, the sentiment analysis engine will determine that emotion is "sadness." Based on this, the generative AI model will create a friendly response such as "How about trying to cheer yourself up a bit?" In this process, an example of a prompt to the generative AI model would be an instruction in the form of, "The user said 'I'm feeling a bit down today.' Sentiment analysis determined it to be 'sadness.' Please generate an appropriate response."

[0217] In addition to empathetic communication, the system also provides support for schedule management and daily life through external applications. This includes integration with schedule management APIs and information retrieval services, enabling features that make users' lives more convenient. For example, if a user says, "Please schedule something for tomorrow morning," the system can automatically operate the calendar API and register the necessary tasks.

[0218] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0219] Step 1:

[0220] The user enters basic information through the terminal. The terminal retrieves data such as name, email address, and password, and sends it to the server. The server stores this information in its storage device and builds the basic database for the user account.

[0221] Step 2:

[0222] The server uses a generative AI model to initiate a process for generating a virtual partner based on the user's selection. It receives appearance and voice characteristic information sent by the user from their device and inputs it into the generative AI model. The generative AI model then uses this information to generate the virtual partner's appearance data and voice profile, which are then stored on the server.

[0223] Step 3:

[0224] When a user initiates a conversation via text or voice, the device sends it to the server. The server feeds the received input to a natural language processing engine, which analyzes the content of the input. The analyzed data is then sent to an emotion analysis engine, where emotion data is extracted from the user's message.

[0225] Step 4:

[0226] The server sends a prompt message to the AI ​​model that generates an appropriate response based on the sentiment analysis results. The prompt message includes instructions such as, "The user said, 'I'm feeling a bit down today.' Sentiment analysis determined it to be 'sadness.' Please generate an appropriate response." Based on this data, the AI ​​model generates an empathetic response and sends it back to the server.

[0227] Step 5:

[0228] The server sends the generated response to the terminal, which is then displayed to the user or output as audio. This allows the user to have a personalized communication experience.

[0229] Step 6:

[0230] When a user requests integration with an external service, the device sends an instruction to the server, such as "Please add an appointment for tomorrow morning." The server processes this request via an external API and notifies the device of the result. This allows for efficient addition of tasks to the user's schedule and efficient task management.

[0231] 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.

[0232] 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.

[0233] 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.

[0234] [Second Embodiment]

[0235] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0236] 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.

[0237] 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).

[0238] 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.

[0239] 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.

[0240] 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).

[0241] 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.

[0242] 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.

[0243] 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.

[0244] 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.

[0245] 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.

[0246] 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".

[0247] This invention provides a system that allows users to interact with a virtual partner with characteristics of their choosing and receive daily support. Users first access the system using a terminal and create an account. During this process, users input their basic information and send it to the server. The server stores this information in a database to facilitate user identification.

[0248] Next, the user selects facial features and voice type on the device's interface to generate their preferred virtual partner. The device sends the user's selections to the server, which uses a generative AI model to create the virtual partner. The generated data is stored on the server and is available each time the user requests it.

[0249] When a user initiates a conversation with a virtual partner through their device, they use text or voice messages. Messages sent from the device are parsed by the server, which generates an appropriate response. Based on the conversation history collected through this process, the server provides a more personalized response to the user. This response information is returned to the user's device as voice or text.

[0250] Furthermore, the system integrates with external services to provide support for users' daily lives tailored to their needs. For example, if a user wishes to make a restaurant reservation, the terminal transmits this request to the server. The server then uses the relevant external API to retrieve restaurant information and confirm the reservation. Through this process, users can conveniently and efficiently utilize virtual partners.

[0251] The system provided by this system is flexible enough to respond to individual user needs and can continuously evolve through interaction with users. Specific examples of its use include checking daily weather forecasts and creating lists of recommended movies, among other diverse everyday situations.

[0252] The following describes the processing flow.

[0253] Step 1:

[0254] The user launches the application on their device and accesses the account creation screen. The device displays a form prompting the user to enter their name, email address, and password.

[0255] Step 2:

[0256] The user enters the required information and taps the "Submit" button. The device converts this data into a structured format and sends it to the server using a secure protocol (HTTPS).

[0257] Step 3:

[0258] The server verifies the received user information and creates a new user account in the database. The server returns a response to the terminal indicating that the account creation was successful.

[0259] Step 4:

[0260] The user opens the AI ​​partner feature selection screen on their device. The device displays options for facial features and voice type as a visual interface.

[0261] Step 5:

[0262] The user selects features according to their preferences. The device generates a request to send the selected data to the server.

[0263] Step 6:

[0264] The server creates an AI partner using a generated AI model based on selected features. It generates facial image data and voice samples, and stores the data.

[0265] Step 7:

[0266] The server sends information about the generated AI partner to the terminal. The terminal displays this information and allows the user to confirm it.

[0267] Step 8:

[0268] The user sends a message to the AI ​​partner through their device. The device converts the message into text data and sends it to the server.

[0269] Step 9:

[0270] The server analyzes the messages it receives. It uses a natural language processing engine to understand the intent and content of the messages.

[0271] Step 10:

[0272] The server generates response text using a dialogue generation model. The generated response is personalized, taking into account past dialogue history.

[0273] Step 11:

[0274] The server sends the generated response to the terminal. The terminal displays the response to the user in either audio or text format.

[0275] Step 12:

[0276] A user makes a specific support request via their device (e.g., "Please make a reservation at a nearby restaurant"). The device sends this request to the server.

[0277] Step 13:

[0278] The server analyzes the request and calls the appropriate external API to retrieve restaurant information and process reservations.

[0279] Step 14:

[0280] The server processes information obtained from external services and provides the user with a suggested result. The terminal displays this and asks the user for confirmation.

[0281] Step 15:

[0282] The user reviews the suggestions and makes a final selection. The terminal sends the user's selection to the server, which completes the reservation.

[0283] (Example 1)

[0284] Next, 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".

[0285] In a conventional information communication system, it has been difficult to personalize the interaction with users individually, and there has not been sufficient means to effectively support daily life. There has been a demand to provide a partner using a generative AI model for an unspecified number of users and to realize corresponding individual responses and utilization of external services.

[0286] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0287] In this invention, the server includes means for storing basic information input by a user via an information processing device, means for creating a virtual dialogue partner based on the user's selection using a generative AI model, and means for creating an individual response based on the user dialogue history. Thereby, it becomes possible to realize individual response to users and effectively support daily life.

[0288] The "information processing device" is an electronic device used by a user to access and operate the system.

[0289] The "basic information" is data such as the name and contact information necessary for user identification and service provision.

[0290] The "generative AI model" is an artificial intelligence technology for creating a virtual dialogue partner based on the user's selection.

[0291] The "virtual dialogue partner" is a computer-based dialogue partner generated based on the characteristics selected by the user.

[0292] The "user dialogue history" is a record of past dialogues between the user and the system.

[0293] "External functions" refer to services or APIs that exist outside the system but can be integrated with it.

[0294] "Sound characteristics" refer to the characteristics of a voice, and are the elements that constitute the unique voice of a virtual conversation partner.

[0295] "External data communication means" refers to methods for exchanging data with external services and information sources via a network.

[0296] This invention provides an information processing system to support users in their daily lives through interaction with a virtual dialogue partner. The system is broadly composed of a terminal used by the user and a server that manages and processes data.

[0297] First, users access the system using a terminal, which is an information processing device, and input their basic information. This includes basic information such as their name and email address, and the terminal plays the role of securely encrypting this data and sending it to the server. The server stores this basic information in a database to make it easier to identify users.

[0298] Next, the user can select a virtual conversation partner through the terminal's interface. Since the virtual conversation partner is created using a generative AI model, its facial features and vocal characteristics are set based on the user's selection. This results in a highly personalized conversation partner. The server stores the generated model in a database, allowing the user to access it at any time.

[0299] When a user initiates a conversation with a virtual partner, the terminal plays a role through the exchange of text or voice messages. The server analyzes the messages sent by the user using natural language processing technology and generates appropriate responses through an AI model. The generated responses are returned to the user as voice or text. The server also manages the conversation history with the user and provides personalized responses based on the context of the conversation.

[0300] Furthermore, the system can interact with external functions to provide various forms of daily support. For example, if a user wishes to make a restaurant reservation, the server retrieves the reservation information via external data communication and returns the result to the terminal along with confirmation. This process can also be used to provide weather information or generate movie recommendation lists.

[0301] Examples of prompt phrases in this invention include: "The virtual partner will provide the user with clothing advice based on the current weather information," and "How will the virtual partner provide personalized customer service based on the elements selected by the user?"

[0302] The entire system is configured to provide a highly flexible and personalized user experience.

[0303] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0304] Step 1:

[0305] Users access the system and create an account using a terminal. Users enter basic information such as their name, email address, and password. The terminal validates the entered information, encrypts it, and sends it to the server. During this process, the terminal checks the input data for defects and errors, and applies encryption to ensure security. The server stores the received information in a database, enabling individual user identification.

[0306] Step 2:

[0307] The user selects the facial features and voice characteristics of the virtual conversation partner through the interface of the terminal. The terminal packages the user's selection information and sends it to the server. The server uses the generation AI model to generate a prompt based on the user's selection and inputs it into the model. The AI model generates a virtual conversation partner based on the presented prompt and saves the data to the server. In this process, a customized virtual conversation partner considering the selected elements is created.

[0308] Step 3:

[0309] The user starts a conversation with the virtual conversation partner through the terminal. The input is a text message or a voice message, and the terminal sends this to the server. The server analyzes the received message using natural language processing and also refers to the conversation history to understand the context of the conversation. The response is created by the generation AI model, and the server returns it to the user's terminal in text or voice format. After analysis, an appropriate response is generated and provided to the user.

[0310] Step 4:

[0311] The user hopes to perform actions via an external service, such as making a restaurant reservation or making an information inquiry. The terminal sends this request to the server. The server uses external data communication means to send a request to the corresponding external service and obtain information in real time. The obtained information is processed and the reservation confirmation or detailed information is returned to the terminal to meet the needs of the user. In this step, the user's request is realized through access to external resources.

[0312] (Application Example 𝟷)

[0313] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0314] In modern living environments, it is crucial to efficiently support daily life and improve the quality of interaction between users and virtual partners. However, existing systems have limitations in use within mobile devices, making it difficult to provide support that is fully adapted to the user's lifestyle. Furthermore, responses and support that are appropriate to the user's situation while on the move are insufficient, so a new method is needed to solve this problem.

[0315] 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.

[0316] In this invention, the server includes means for storing basic information entered by the user, means for generating a virtual partner based on the user's selection using a generated artificial intelligence model, and means for generating individual responses based on the user's dialogue history. This enables efficient and smooth dialogue with the virtual partner even while on the move, and allows for flexible life support adapted to the user's lifestyle.

[0317] "Basic information" refers to personal data and attribute information about the user, which is used for user identification and customization of virtual partners.

[0318] An "artificial intelligence model" is an automated generation program that creates virtual partners based on user requests, and is a technology used for data analysis and response generation.

[0319] A "virtual partner" is a digital, fictional partner with whom a user can interact, and it is a program that plays a role in supporting the user's life.

[0320] A "means for generating responses" refers to a function that creates appropriate answers to questions or instructions from the user.

[0321] "External services" refer to databases and software services provided by third parties connected via the internet, which are used to assist users in their daily lives.

[0322] A "mobile device" is a device or apparatus that is portable or movable by the user and serves as the platform for using this system.

[0323] The system of this invention consists of a user, a server, and a terminal. The user first accesses the system using the terminal and creates an account. During this process, the user enters their basic information and sends it to the server. This basic information is stored in a database and serves as the basis for identifying the user.

[0324] Next, the user selects characteristics to generate their preferred virtual partner via the terminal's interface. The selected information is sent from the terminal to the server, which uses a generation AI model to create the virtual partner. The generated virtual partner data is stored on the server and can be retrieved by the user when needed.

[0325] When users interact with their virtual partners via their devices, they can use voice or text messages. Messages sent from the device are analyzed by the server, and individual responses are generated. These responses are created by a generative AI model and returned to the device as voice or text. This allows users to have richer communication with their virtual partners.

[0326] Furthermore, the server integrates with external services to provide the support users need in their daily lives. For example, if a user wants to make a restaurant reservation through a virtual partner, the server can use an external API to retrieve the necessary information and confirm the reservation. This allows users to efficiently manage their lives without having to go through cumbersome procedures.

[0327] The primary software used includes generative AI models (e.g., models provided by OpenAI) and voice dialogue analysis software (e.g., voice services provided by Amazon). For example, if a user asks, "What's the movie schedule for this weekend?", the virtual partner will retrieve the latest movie information via the internet and provide the user with appropriate advice.

[0328] Example of a prompt:

[0329] "Create a virtual partner for your home robot using a generative AI model and help manage your weekend cleaning schedule."

[0330] This system provides users with flexible and adaptive services through mobile terminals, enabling them to interact with virtual partners and receive support in their daily lives.

[0331] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0332] Step 1:

[0333] Users access the system using a terminal and create an account. During this process, users enter basic information such as their name and contact details, and send this information to the server via the terminal. The server stores the received basic information in a database, building a dataset that uniquely identifies the user. The input is the user's basic information, and the output is the user information stored in the database.

[0334] Step 2:

[0335] The user selects facial recognition data and voice type for a virtual partner that suits their preferences on the device's interface. The selected data is sent from the device to the server. The server uses a generative AI model to generate a virtual partner based on the user's selection. The input is the user's selection information, and the output is the generated virtual partner data.

[0336] Step 3:

[0337] To initiate a conversation with a virtual partner, the user sends a voice or text message through their device. The device (or cloud-based platform) receives the message and sends it to a server. The server analyzes the message and generates an appropriate response using an AI model. The input is the voice or text message from the user, and the output is the response message.

[0338] Step 4:

[0339] The server generates response data for the virtual partner and sends it to the terminal in voice or text format. The terminal provides the received response to the user using speech synthesis software or text display functionality. The input is the response message, and the output is the voice or text feedback displayed on the terminal.

[0340] Step 5:

[0341] When a user requests specific assistance, such as making a restaurant reservation, through a virtual partner, the terminal sends the request to a server. The server calls an external API to retrieve the necessary information (e.g., available reservation times) and completes the process. The input is the user's specific request, and the output is information retrieved from an external service or the result of a completed task.

[0342] Step 6:

[0343] The server returns the processing results from the external API to the terminal, providing appropriate feedback to the user. The terminal presents the received information to the user and fulfills the user's needs as a virtual partner. The input is information from the external API, and the output is feedback information provided to the user.

[0344] 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.

[0345] This invention provides a system equipped with emotion recognition capabilities that enables users to interact with virtual partners possessing their preferred characteristics. The user launches the application using a terminal and first creates an account. During this process, they are prompted to enter their name, email address, and password, and this information is sent from the terminal to the server. The server stores this information in a database and uses it to identify each user.

[0346] Next, the user selects the appearance and voice of their virtual partner via their device. The user's selected features are sent to a server, where a generation AI model is used to create the virtual partner. The generated result is stored on the server and kept in a format that the user can always use.

[0347] When a user initiates a conversation with a virtual partner, they use their device to input text or voice. This input is sent to a server and analyzed by a natural language processing engine. Furthermore, an emotion engine analyzes the user's emotions from their input, and the virtual partner's response is adjusted based on this information. This provides the user with a more appropriate and empathetic response.

[0348] As a concrete example, suppose a user sends a message indicating they are feeling tired. In this case, the emotion engine analyzes and recognizes emotions such as "fatigue" and "stress." As a result, the virtual partner can provide an appropriate response such as, "Perhaps you should relax a little today."

[0349] In particular, when a user requests assistance with daily life through their device, for example, "Please book a movie theater ticket for tomorrow night," the device sends the request to the server. The server utilizes its internal generative AI model and emotion engine to obtain the optimal result via an external API and propose it to the user.

[0350] This system provides a flexible and personalized virtual partner experience that takes user emotions into consideration, particularly by leveraging emotion recognition to facilitate communication and optimize support for daily life.

[0351] The following describes the processing flow.

[0352] Step 1:

[0353] The user launches the application on their device and opens the account creation screen. The device displays an interface for the user to enter their name, email address, and password.

[0354] Step 2:

[0355] The user enters the required information and presses the "Submit" button. The terminal sends the input data to the server using a secure communication protocol (HTTPS).

[0356] Step 3:

[0357] The server receives the sent user information, creates a new account in the database, and saves the information. The server then returns a response to the terminal indicating that the account creation was successful.

[0358] Step 4:

[0359] The user accesses the virtual partner's characteristics settings screen on their device. The device displays an interface that provides the user with options such as facial features and voice type.

[0360] Step 5:

[0361] The user selects the desired characteristics of their virtual partner. The terminal generates a request to send the selected configuration information to the server.

[0362] Step 6:

[0363] The server receives the user's selection information and generates a virtual partner using a generative AI model. The generated facial image data and voice samples are stored on the server.

[0364] Step 7:

[0365] The server sends information about the generated virtual partner to the terminal, and the terminal displays the information to the user. The user can then review and approve the generated result.

[0366] Step 8:

[0367] The user enters a text or voice message using their device to initiate a conversation with their virtual partner. The device then sends the message to the server.

[0368] Step 9:

[0369] The server uses a natural language processing engine to analyze messages received from users. Simultaneously, it uses an emotion engine to recognize and analyze the user's emotions from the messages.

[0370] Step 10:

[0371] The server generates a personalized response based on the analysis results, taking into account the user's emotions. A dialogue generation model is used for this purpose.

[0372] Step 11:

[0373] The server sends the generated response to the terminal. The terminal then presents the response to the user in either audio or text format and displays it to the user.

[0374] Step 12:

[0375] The user makes a specific request through the device (e.g., "Make a restaurant reservation"). The device sends this request to the server.

[0376] Step 13:

[0377] The server analyzes the received request in detail to identify the necessary processing. It then calls external APIs to perform reservation and information retrieval procedures.

[0378] Step 14:

[0379] The server processes the results returned from the external service and creates a suggestion for the user based on that. The terminal displays this suggestion and asks the user for confirmation.

[0380] Step 15:

[0381] After the user reviews the suggested options, they can make a final selection or be instructed to do so. The terminal sends this selection information to the server, which then completes the specified procedure.

[0382] (Example 2)

[0383] 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".

[0384] In recent years, there has been a growing demand for virtual dialogue systems that provide users with emotionally supportive and personalized experiences. However, existing technologies lack sufficient methods to appropriately recognize and reflect user emotions in responses, and also lack efficient ways to seamlessly integrate with external services. As a result, virtual dialogues often feel mechanical and fail to satisfy users.

[0385] 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.

[0386] In this invention, the server includes means for recording personal identification information entered by the user, means for generating a virtual dialogue partner based on the user's preferences using an information processing model generated via a remote data processing device, and means for analyzing the communication content received from the user, extracting emotions using natural language processing means, and individually adjusting the response. This enables natural and empathetic responses that correspond to the user's emotional state, and further provides functions that smoothly support daily activities.

[0387] A "user" is an individual or group that operates the system and receives personal experiences or information from it.

[0388] "Personal identification information" refers to information used to identify a user, and typically includes information such as name, email address, and password.

[0389] A "remote data processing device" is a computer system or server used to process data and generate output in response to user input.

[0390] An "information processing model" is a model designed to analyze data using machine learning algorithms and neural networks and to perform a specific task.

[0391] A "virtual dialogue target" is a digital agent or character created on a computer that can interact with a user.

[0392] "Natural language processing" refers to technologies and processes that understand human language input as text or speech and convert it into structured data.

[0393] "Means for extracting emotions and individually adjusting responses" refers to technology that identifies the user's emotions from the input information and changes the content and nuances of the response accordingly.

[0394] This invention is a system for providing a virtual dialogue experience that responds to the user's emotions. The system includes a series of steps for processing user input information, recognizing emotions, and generating responses.

[0395] The user first launches the application using a terminal and enters their personal identification information. The terminal sends the entered data to the server. The server stores the data in a database, enabling user-specific identification. The server also uses a data processing device located remotely to create an information processing model and generate a virtual conversational partner based on the user's preferences.

[0396] After a virtual conversation partner is created, the user begins interacting with the virtual agent through their terminal. Messages, entered as text or voice, are sent from the terminal to the server. The server analyzes the received messages using natural language processing and also uses an emotion analysis engine to extract the user's emotions.

[0397] After emotions are extracted, the server uses a generative AI model to generate responses from the virtual agent. This response generation may involve prompts, such as "Generate a virtual dialogue response for when the user feels joy." This enables natural, empathetic conversations that are sensitive to the user's emotions.

[0398] The server also has the ability to connect with external information services to assist users with tasks they need in their daily lives. For example, in response to a request such as "Please make a restaurant reservation for tomorrow night," the server can use an external API to make the reservation and inform the user of the result.

[0399] This system generates responses that correspond to the user's emotions, enabling support in various aspects of daily life. By combining complex emotion recognition and natural language processing technologies, it provides a personalized experience.

[0400] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0401] Step 1:

[0402] The user launches the application on their device and enters personal identification information. This information includes the user's name, email address, and password. The device sends this information to the server. The server stores the received personal identification information in a database and generates a unique ID for the user. This process ensures that the user can be identified and authenticated for future access.

[0403] Step 2:

[0404] The user selects the appearance and voice characteristics of a virtual conversation partner via a terminal. The terminal sends the user's preference information to the server. The server uses this as a trigger to activate a generative AI model and generate a virtual agent by inputting a prompt message. The prompt message is in the form of "Please generate a virtual agent that matches the characteristics selected by the user." The generated virtual agent is stored on the server.

[0405] Step 3:

[0406] The user initiates interaction with a virtual agent using a terminal. The user inputs a message via text or voice on the terminal, which then sends it to the server. The server passes the received message to a natural language processing engine, which tokenizes the text data and analyzes its grammatical structure. Based on the analysis results, the server understands the meaning and structure of the message.

[0407] Step 4:

[0408] The server passes the analyzed message to the emotion engine, which extracts the user's emotions from the message. The emotion engine assigns emotion labels such as "joy," "sadness," and "fatigue" based on the words and tone of the message. Using this information, the server adjusts the content of its response.

[0409] Step 5:

[0410] The server uses a generative AI model to generate responses for the virtual agent. This process involves inputting emotion-sensitive prompts into the generative AI model to generate appropriate responses. The generated responses will be tailored to the user's emotions.

[0411] Step 6:

[0412] The server sends the generated response to the terminal. The terminal can then display this response to the user or play it back using its audio output function. This allows the user to continue the conversation and enables interaction with the virtual agent.

[0413] Step 7:

[0414] If a user requests routine support as needed, the device sends the request to the server. The server uses external APIs to make reservations and retrieve information, and then sends the results back to the device. For example, it can respond to requests such as "Please reserve movie tickets."

[0415] (Application Example 2)

[0416] 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."

[0417] In the daily lives of those receiving care, there is a need for systems that provide appropriate support and empathetic communication tailored to their emotions. However, conventional technologies have limited ability to recognize emotions and respond accordingly, making it difficult to provide personalized support. Furthermore, there are problems with the efficient management of daily schedules and task suggestions.

[0418] 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.

[0419] In this invention, the server includes means for storing basic information entered by the user, means for generating a virtual partner based on the user's selection using a generated artificial intelligence model, and means for generating individual responses based on the user's interaction history and sentiment analysis. This makes it possible to provide empathetic responses that respond to emotions, manage the user's daily schedule and tasks, and enable more personalized support.

[0420] "Means for saving basic information entered by the user" refers to a mechanism for storing basic data such as the user's name, email address, and password in a storage device.

[0421] "A means of generating a virtual partner based on user selection using a generated artificial intelligence model" refers to a technology that utilizes a pre-trained generative AI model to create a virtual partner that matches the appearance and voice characteristics selected by the user.

[0422] "Means for generating individual responses based on user interaction history and sentiment analysis" refers to a system that manages past communication history and generates responses tailored to individual users based on the results of analyzing the emotional state that can be gleaned from the user's input.

[0423] "A means of supporting daily life and managing schedules and tasks in conjunction with external services" refers to a system that supports the management of activities and events related to the user's life while exchanging data with other applications and services via the internet.

[0424] "Providing empathetic responses that respond to emotions" means analyzing the user's emotional state and returning a thoughtful response that takes that state into consideration.

[0425] "More personalized support" means providing personalized services and suggestions based on each user's individual needs, emotions, and past history.

[0426] In an embodiment for carrying out the invention, the system is configured as follows.

[0427] The system begins with the user entering basic information through an interface. Data such as the user's name, email address, and password are stored in a dedicated storage device. This device manages the fundamental information necessary for user authentication and service personalization.

[0428] Next, the generated artificial intelligence model is utilized to create a virtual partner based on the user's selected appearance and voice characteristics. This generation process is handled by servers in the cloud, and advanced calculations are performed by the generating AI model as needed. The generation results are stored on the servers and kept available to the user at any time.

[0429] For user interactions, a natural language processing engine (e.g., a natural language processing model) is used to analyze the input content. Following the analysis, an emotion analysis engine (e.g., an emotion analysis program) extracts emotions from the input message and automatically generates empathetic responses based on that data. This response generation process is designed to always provide appropriate content that is attentive to the user's emotions.

[0430] For example, if a user says "I'm feeling a bit down today" on their smartphone, the sentiment analysis engine will determine that emotion is "sadness." Based on this, the generative AI model will create a friendly response such as "How about trying to cheer yourself up a bit?" In this process, an example of a prompt to the generative AI model would be an instruction in the form of, "The user said 'I'm feeling a bit down today.' Sentiment analysis determined it to be 'sadness.' Please generate an appropriate response."

[0431] In addition to empathetic communication, the system also provides support for schedule management and daily life through external applications. This includes integration with schedule management APIs and information retrieval services, enabling features that make users' lives more convenient. For example, if a user says, "Please schedule something for tomorrow morning," the system can automatically operate the calendar API and register the necessary tasks.

[0432] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0433] Step 1:

[0434] The user enters basic information through the terminal. The terminal retrieves data such as name, email address, and password, and sends it to the server. The server stores this information in its storage device and builds the basic database for the user account.

[0435] Step 2:

[0436] The server uses a generative AI model to initiate a process for generating a virtual partner based on the user's selection. It receives appearance and voice characteristic information sent by the user from their device and inputs it into the generative AI model. The generative AI model then uses this information to generate the virtual partner's appearance data and voice profile, which are then stored on the server.

[0437] Step 3:

[0438] When a user initiates a conversation via text or voice, the device sends it to the server. The server feeds the received input to a natural language processing engine, which analyzes the content of the input. The analyzed data is then sent to an emotion analysis engine, where emotion data is extracted from the user's message.

[0439] Step 4:

[0440] The server sends a prompt message to the AI ​​model that generates an appropriate response based on the sentiment analysis results. The prompt message includes instructions such as, "The user said, 'I'm feeling a bit down today.' Sentiment analysis determined it to be 'sadness.' Please generate an appropriate response." Based on this data, the AI ​​model generates an empathetic response and sends it back to the server.

[0441] Step 5:

[0442] The server sends the generated response to the terminal, which is then displayed to the user or output as audio. This allows the user to have a personalized communication experience.

[0443] Step 6:

[0444] When a user requests integration with an external service, the device sends an instruction to the server, such as "Please add an appointment for tomorrow morning." The server processes this request via an external API and notifies the device of the result. This allows for efficient addition of tasks to the user's schedule and efficient task management.

[0445] 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.

[0446] 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.

[0447] 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.

[0448] [Third Embodiment]

[0449] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0450] 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.

[0451] 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).

[0452] 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.

[0453] 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.

[0454] 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).

[0455] 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.

[0456] 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.

[0457] 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.

[0458] 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.

[0459] 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.

[0460] 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".

[0461] This invention provides a system that allows users to interact with a virtual partner with characteristics of their choosing and receive daily support. Users first access the system using a terminal and create an account. During this process, users input their basic information and send it to the server. The server stores this information in a database to facilitate user identification.

[0462] Next, the user selects facial features and voice type on the device's interface to generate their preferred virtual partner. The device sends the user's selections to the server, which uses a generative AI model to create the virtual partner. The generated data is stored on the server and is available each time the user requests it.

[0463] When a user initiates a conversation with a virtual partner through their device, they use text or voice messages. Messages sent from the device are parsed by the server, which generates an appropriate response. Based on the conversation history collected through this process, the server provides a more personalized response to the user. This response information is returned to the user's device as voice or text.

[0464] Furthermore, the system integrates with external services to provide support for users' daily lives tailored to their needs. For example, if a user wishes to make a restaurant reservation, the terminal transmits this request to the server. The server then uses the relevant external API to retrieve restaurant information and confirm the reservation. Through this process, users can conveniently and efficiently utilize virtual partners.

[0465] The system provided by this system is flexible enough to respond to individual user needs and can continuously evolve through interaction with users. Specific examples of its use include checking daily weather forecasts and creating lists of recommended movies, among other diverse everyday situations.

[0466] The following describes the processing flow.

[0467] Step 1:

[0468] The user launches the application on their device and accesses the account creation screen. The device displays a form prompting the user to enter their name, email address, and password.

[0469] Step 2:

[0470] The user enters the required information and taps the "Submit" button. The device converts this data into a structured format and sends it to the server using a secure protocol (HTTPS).

[0471] Step 3:

[0472] The server verifies the received user information and creates a new user account in the database. The server returns a response to the terminal indicating that the account creation was successful.

[0473] Step 4:

[0474] The user opens the AI ​​partner feature selection screen on their device. The device displays options for facial features and voice type as a visual interface.

[0475] Step 5:

[0476] The user selects features according to their preferences. The device generates a request to send the selected data to the server.

[0477] Step 6:

[0478] The server creates an AI partner using a generated AI model based on selected features. It generates facial image data and voice samples, and stores the data.

[0479] Step 7:

[0480] The server sends information about the generated AI partner to the terminal. The terminal displays this information and allows the user to confirm it.

[0481] Step 8:

[0482] The user sends a message to the AI ​​partner through their device. The device converts the message into text data and sends it to the server.

[0483] Step 9:

[0484] The server analyzes the messages it receives. It uses a natural language processing engine to understand the intent and content of the messages.

[0485] Step 10:

[0486] The server generates response text using a dialogue generation model. The generated response is personalized, taking into account past dialogue history.

[0487] Step 11:

[0488] The server sends the generated response to the terminal. The terminal displays the response to the user in either audio or text format.

[0489] Step 12:

[0490] A user makes a specific support request via their device (e.g., "Please make a reservation at a nearby restaurant"). The device sends this request to the server.

[0491] Step 13:

[0492] The server analyzes the request and calls the appropriate external API to retrieve restaurant information and process reservations.

[0493] Step 14:

[0494] The server processes information obtained from external services and provides the user with a suggested result. The terminal displays this and asks the user for confirmation.

[0495] Step 15:

[0496] The user reviews the suggestions and makes a final selection. The terminal sends the user's selection to the server, which completes the reservation.

[0497] (Example 1)

[0498] 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."

[0499] Conventional information and communication systems have found it difficult to personalize interactions with individual users, and have not provided sufficient means to effectively support daily life. There was a need to provide a partner using generative AI models to a large, unspecified number of users, enabling individualized responses and the utilization of external services.

[0500] 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.

[0501] In this invention, the server includes means for storing basic information entered by the user via an information processing device, means for creating a virtual conversation partner based on the user's selection using a generative AI model, and means for creating individual responses based on the user's conversation history. This enables personalized support for the user and effective assistance in daily life.

[0502] "Information processing equipment" refers to electronic devices used by users to access and operate systems.

[0503] "Basic information" refers to data such as the user's name and contact information, which is necessary for identifying the user and providing services.

[0504] A "generative AI model" is an artificial intelligence technology that creates a virtual conversation partner based on user selections.

[0505] A "virtual conversation partner" is a computer-based conversation partner generated based on the characteristics selected by the user.

[0506] "User interaction history" refers to a record of past interactions between the user and the system.

[0507] "External functions" refer to services or APIs that exist outside the system but can be integrated with it.

[0508] "Sound characteristics" refer to the characteristics of a voice, and are the elements that constitute the unique voice of a virtual conversation partner.

[0509] "External data communication means" refers to methods for exchanging data with external services and information sources via a network.

[0510] This invention provides an information processing system to support users in their daily lives through interaction with a virtual dialogue partner. The system is broadly composed of a terminal used by the user and a server that manages and processes data.

[0511] First, users access the system using a terminal, which is an information processing device, and input their basic information. This includes basic information such as their name and email address, and the terminal plays the role of securely encrypting this data and sending it to the server. The server stores this basic information in a database to make it easier to identify users.

[0512] Next, the user can select a virtual conversation partner through the terminal's interface. Since the virtual conversation partner is created using a generative AI model, its facial features and vocal characteristics are set based on the user's selection. This results in a highly personalized conversation partner. The server stores the generated model in a database, allowing the user to access it at any time.

[0513] When a user initiates a conversation with a virtual partner, the terminal plays a role through the exchange of text or voice messages. The server analyzes the messages sent by the user using natural language processing technology and generates appropriate responses through an AI model. The generated responses are returned to the user as voice or text. The server also manages the conversation history with the user and provides personalized responses based on the context of the conversation.

[0514] Furthermore, the system can interact with external functions to provide various forms of daily support. For example, if a user wishes to make a restaurant reservation, the server retrieves the reservation information via external data communication and returns the result to the terminal along with confirmation. This process can also be used to provide weather information or generate movie recommendation lists.

[0515] Examples of multiple prompt phrases in this invention include: "The virtual partner will provide the user with clothing advice based on the current weather information," and "How will the virtual partner provide personalized customer service based on the elements selected by the user?"

[0516] The entire system is configured to provide a highly flexible and personalized user experience.

[0517] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0518] Step 1:

[0519] Users access the system and create an account using a terminal. Users enter basic information such as their name, email address, and password. The terminal validates the entered information, encrypts it, and sends it to the server. During this process, the terminal checks the input data for defects and errors, and applies encryption to ensure security. The server stores the received information in a database, enabling individual user identification.

[0520] Step 2:

[0521] The user selects the facial features and sound characteristics of their virtual conversation partner through the terminal's interface. The terminal packages the user's selection information and sends it to the server. The server uses a generative AI model to generate prompts based on the user's selections and inputs them into the model. The AI ​​model generates a virtual conversation partner based on the presented prompts and saves the data to the server. In this process, a customized virtual conversation partner is created that takes the selected elements into consideration.

[0522] Step 3:

[0523] The user initiates a conversation with a virtual partner through their device. Input is either a text message or a voice message, which the device sends to the server. The server analyzes the received message using natural language processing and also refers to the conversation history to understand the context of the conversation. A response is generated by an AI model and returned to the user's device in text or voice format. After analysis, an appropriate response is generated and provided to the user.

[0524] Step 4:

[0525] The user wishes to perform actions through external services, such as making restaurant reservations or inquiring about information. The terminal sends this request to the server. The server uses external data communication means to send requests to the relevant external services and retrieve information in real time. The server processes the retrieved information and returns reservation confirmations or detailed information to the terminal, thereby meeting the user's needs. In this step, the user's request is fulfilled through access to external resources.

[0526] (Application Example 1)

[0527] 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."

[0528] In modern living environments, it is crucial to efficiently support daily life and improve the quality of interaction between users and virtual partners. However, existing systems have limitations in use within mobile devices, making it difficult to provide support that is fully adapted to the user's lifestyle. Furthermore, responses and support that are appropriate to the user's situation while on the move are insufficient, so a new method is needed to solve this problem.

[0529] 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.

[0530] In this invention, the server includes means for storing basic information entered by the user, means for generating a virtual partner based on the user's selection using a generated artificial intelligence model, and means for generating individual responses based on the user's dialogue history. This enables efficient and smooth dialogue with the virtual partner even while on the move, and allows for flexible life support adapted to the user's lifestyle.

[0531] "Basic information" refers to personal data and attribute information about the user, which is used for user identification and customization of virtual partners.

[0532] An "artificial intelligence model" is an automated generation program that creates virtual partners based on user requests, and is a technology used for data analysis and response generation.

[0533] A "virtual partner" is a digital, fictional partner with whom a user can interact, and it is a program that plays a role in supporting the user's life.

[0534] A "means for generating responses" refers to a function that creates appropriate answers to questions or instructions from the user.

[0535] "External services" refer to databases and software services provided by third parties connected via the internet, which are used to assist users in their daily lives.

[0536] A "mobile device" is a device or apparatus that is portable or movable by the user, and serves as the platform for using this system.

[0537] The system of this invention consists of a user, a server, and a terminal. The user first accesses the system using the terminal and creates an account. During this process, the user enters their basic information and sends it to the server. This basic information is stored in a database and serves as the basis for identifying the user.

[0538] Next, the user selects characteristics to generate their preferred virtual partner via the terminal's interface. The selected information is sent from the terminal to the server, which uses a generation AI model to create the virtual partner. The generated virtual partner data is stored on the server and can be retrieved by the user when needed.

[0539] When users interact with their virtual partners via their devices, they can use voice or text messages. Messages sent from the device are analyzed by the server, and individual responses are generated. These responses are created by a generative AI model and returned to the device as voice or text. This allows users to have richer communication with their virtual partners.

[0540] Furthermore, the server integrates with external services to provide the support users need in their daily lives. For example, if a user wants to make a restaurant reservation through a virtual partner, the server can use an external API to retrieve the necessary information and confirm the reservation. This allows users to efficiently manage their lives without having to go through cumbersome procedures.

[0541] The primary software used includes generative AI models (e.g., models provided by OpenAI) and voice dialogue analysis software (e.g., voice services provided by Amazon). For example, if a user asks, "What's the movie schedule for this weekend?", the virtual partner will retrieve the latest movie information via the internet and provide the user with appropriate advice.

[0542] Example of a prompt:

[0543] "Create a virtual partner for your home robot using a generative AI model and help manage your weekend cleaning schedule."

[0544] This system provides users with flexible and adaptive services through mobile terminals, enabling them to interact with virtual partners and receive support in their daily lives.

[0545] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0546] Step 1:

[0547] Users access the system using a terminal and create an account. During this process, users enter basic information such as their name and contact details, and send this information to the server via the terminal. The server stores the received basic information in a database, building a dataset that uniquely identifies the user. The input is the user's basic information, and the output is the user information stored in the database.

[0548] Step 2:

[0549] The user selects facial recognition data and voice type for a virtual partner that suits their preferences on the device's interface. The selected data is sent from the device to the server. The server uses a generative AI model to generate a virtual partner based on the user's selection. The input is the user's selection information, and the output is the generated virtual partner data.

[0550] Step 3:

[0551] To initiate a conversation with a virtual partner, the user sends a voice or text message through their device. The device (or cloud-based platform) receives the message and sends it to a server. The server analyzes the message and generates an appropriate response using an AI model. The input is the voice or text message from the user, and the output is the response message.

[0552] Step 4:

[0553] The server generates response data for the virtual partner and sends it to the terminal in voice or text format. The terminal provides the received response to the user using speech synthesis software or text display functionality. The input is the response message, and the output is the voice or text feedback displayed on the terminal.

[0554] Step 5:

[0555] When a user requests specific assistance, such as making a restaurant reservation, through a virtual partner, the terminal sends the request to a server. The server calls an external API to retrieve the necessary information (e.g., available reservation times) and completes the process. The input is the user's specific request, and the output is information retrieved from an external service or the result of a completed task.

[0556] Step 6:

[0557] The server returns the processing results from the external API to the terminal, providing appropriate feedback to the user. The terminal presents the received information to the user and fulfills the user's needs as a virtual partner. The input is information from the external API, and the output is feedback information provided to the user.

[0558] 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.

[0559] This invention provides a system equipped with emotion recognition capabilities that enables users to interact with virtual partners possessing their preferred characteristics. The user launches the application using a terminal and first creates an account. During this process, they are prompted to enter their name, email address, and password, and this information is sent from the terminal to the server. The server stores this information in a database and uses it to identify each user.

[0560] Next, the user selects the appearance and voice of their virtual partner via their device. The user's selected features are sent to a server, where a generation AI model is used to create the virtual partner. The generated result is stored on the server and kept in a format that the user can always use.

[0561] When a user initiates a conversation with a virtual partner, they use their device to input text or voice. This input is sent to a server and analyzed by a natural language processing engine. Furthermore, an emotion engine analyzes the user's emotions from their input, and the virtual partner's response is adjusted based on this information. This provides the user with a more appropriate and empathetic response.

[0562] As a concrete example, suppose a user sends a message indicating they are feeling tired. In this case, the emotion engine analyzes and recognizes emotions such as "fatigue" and "stress." As a result, the virtual partner can provide an appropriate response such as, "Perhaps you should relax a little today."

[0563] In particular, when a user requests assistance with daily life through their device, for example, "Please book a movie theater ticket for tomorrow night," the device sends the request to the server. The server utilizes its internal generative AI model and emotion engine to obtain the optimal result via an external API and propose it to the user.

[0564] This system provides a flexible and personalized virtual partner experience that takes user emotions into consideration, particularly by leveraging emotion recognition to facilitate communication and optimize support for daily life.

[0565] The following describes the processing flow.

[0566] Step 1:

[0567] The user launches the application on their device and opens the account creation screen. The device displays an interface for the user to enter their name, email address, and password.

[0568] Step 2:

[0569] The user enters the required information and presses the "Submit" button. The terminal sends the input data to the server using a secure communication protocol (HTTPS).

[0570] Step 3:

[0571] The server receives the sent user information, creates a new account in the database, and saves the information. The server then returns a response to the terminal indicating that the account creation was successful.

[0572] Step 4:

[0573] The user accesses the virtual partner's characteristics settings screen on their device. The device displays an interface that provides the user with options such as facial features and voice type.

[0574] Step 5:

[0575] The user selects the desired characteristics of their virtual partner. The terminal generates a request to send the selected configuration information to the server.

[0576] Step 6:

[0577] The server receives the user's selection information and generates a virtual partner using a generative AI model. The generated facial image data and voice samples are stored on the server.

[0578] Step 7:

[0579] The server sends information about the generated virtual partner to the terminal, and the terminal displays the information to the user. The user can then review and approve the generated result.

[0580] Step 8:

[0581] The user enters a text or voice message using their device to initiate a conversation with their virtual partner. The device then sends the message to the server.

[0582] Step 9:

[0583] The server uses a natural language processing engine to analyze messages received from users. Simultaneously, it uses an emotion engine to recognize and analyze the user's emotions from the messages.

[0584] Step 10:

[0585] The server generates a personalized response based on the analysis results, taking into account the user's emotions. A dialogue generation model is used for this purpose.

[0586] Step 11:

[0587] The server sends the generated response to the terminal. The terminal then presents the response to the user in either audio or text format and displays it to the user.

[0588] Step 12:

[0589] The user makes a specific request through the device (e.g., "Make a restaurant reservation"). The device sends this request to the server.

[0590] Step 13:

[0591] The server analyzes the received request in detail to identify the necessary processing. It then calls external APIs to perform reservation and information retrieval procedures.

[0592] Step 14:

[0593] The server processes the results returned from the external service and creates a suggestion for the user based on that. The terminal displays this suggestion and asks the user for confirmation.

[0594] Step 15:

[0595] After the user reviews the suggested options, they can make a final selection or be instructed to do so. The terminal sends this selection information to the server, which then completes the specified procedure.

[0596] (Example 2)

[0597] 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."

[0598] In recent years, there has been a growing demand for virtual dialogue systems that provide users with emotionally supportive and personalized experiences. However, existing technologies lack sufficient methods to appropriately recognize and reflect user emotions in responses, and also lack efficient ways to seamlessly integrate with external services. As a result, virtual dialogues often feel mechanical and fail to satisfy users.

[0599] 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.

[0600] In this invention, the server includes means for recording personal identification information entered by the user, means for generating a virtual dialogue partner based on the user's preferences using an information processing model generated via a remote data processing device, and means for analyzing the communication content received from the user, extracting emotions using natural language processing means, and individually adjusting the response. This enables natural and empathetic responses that correspond to the user's emotional state, and further provides functions that smoothly support daily activities.

[0601] A "user" is an individual or group that operates the system and receives personal experiences or information from it.

[0602] "Personal identification information" refers to information used to identify a user, and typically includes information such as name, email address, and password.

[0603] A "remote data processing device" is a computer system or server used to process data and generate output in response to user input.

[0604] An "information processing model" is a model designed to analyze data using machine learning algorithms and neural networks and to perform a specific task.

[0605] A "virtual dialogue target" is a digital agent or character created on a computer that can interact with a user.

[0606] "Natural language processing" refers to technologies and processes that understand human language input as text or speech and convert it into structured data.

[0607] "Means for extracting emotions and individually adjusting responses" refers to technology that identifies the user's emotions from the input information and changes the content and nuances of the response accordingly.

[0608] This invention is a system for providing a virtual dialogue experience that responds to the user's emotions. The system includes a series of steps for processing user input information, recognizing emotions, and generating responses.

[0609] The user first launches the application using a terminal and enters their personal identification information. The terminal sends the entered data to the server. The server stores the data in a database, enabling user-specific identification. The server also uses a data processing device located remotely to create an information processing model and generate a virtual conversational partner based on the user's preferences.

[0610] After a virtual conversation partner is created, the user begins interacting with the virtual agent through their terminal. Messages, entered as text or voice, are sent from the terminal to the server. The server analyzes the received messages using natural language processing and also uses an emotion analysis engine to extract the user's emotions.

[0611] After emotions are extracted, the server uses a generative AI model to generate responses from the virtual agent. This response generation may involve prompts, such as "Generate a virtual dialogue response for when the user feels joy." This enables natural, empathetic conversations that are sensitive to the user's emotions.

[0612] The server also has the ability to connect with external information services to assist users with tasks they need in their daily lives. For example, in response to a request such as "Please make a restaurant reservation for tomorrow night," the server can use an external API to make the reservation and inform the user of the result.

[0613] This system generates responses that correspond to the user's emotions, enabling support in various aspects of daily life. By combining complex emotion recognition and natural language processing technologies, it provides a personalized experience.

[0614] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0615] Step 1:

[0616] The user launches the application on their device and enters personal identification information. This information includes the user's name, email address, and password. The device sends this information to the server. The server stores the received personal identification information in a database and generates a unique ID for the user. This process ensures that the user can be identified and authenticated for future access.

[0617] Step 2:

[0618] The user selects the appearance and voice characteristics of a virtual conversation partner via a terminal. The terminal sends the user's preference information to the server. The server uses this as a trigger to activate a generative AI model and generate a virtual agent by inputting a prompt message. The prompt message is in the form of "Please generate a virtual agent that matches the characteristics selected by the user." The generated virtual agent is stored on the server.

[0619] Step 3:

[0620] The user initiates interaction with a virtual agent using a terminal. The user inputs a message via text or voice on the terminal, which then sends it to the server. The server passes the received message to a natural language processing engine, which tokenizes the text data and analyzes its grammatical structure. Based on the analysis results, the server understands the meaning and structure of the message.

[0621] Step 4:

[0622] The server passes the analyzed message to the emotion engine, which extracts the user's emotions from the message. The emotion engine assigns emotion labels such as "joy," "sadness," and "fatigue" based on the words and tone of the message. Using this information, the server adjusts the content of its response.

[0623] Step 5:

[0624] The server uses a generative AI model to generate responses for the virtual agent. This process involves inputting emotion-sensitive prompts into the generative AI model to generate appropriate responses. The generated responses will be tailored to the user's emotions.

[0625] Step 6:

[0626] The server sends the generated response to the terminal. The terminal can then display this response to the user or play it back using its audio output function. This allows the user to continue the conversation and enables interaction with the virtual agent.

[0627] Step 7:

[0628] If a user requests routine support as needed, the device sends the request to the server. The server uses external APIs to make reservations and retrieve information, and then sends the results back to the device. For example, it can respond to requests such as "Please reserve movie tickets."

[0629] (Application Example 2)

[0630] 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."

[0631] In the daily lives of those receiving care, there is a need for systems that provide appropriate support and empathetic communication tailored to their emotions. However, conventional technologies have limited ability to recognize emotions and respond accordingly, making it difficult to provide personalized support. Furthermore, there are problems with the efficient management of daily schedules and task suggestions.

[0632] 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.

[0633] In this invention, the server includes means for storing basic information entered by the user, means for generating a virtual partner based on the user's selection using a generated artificial intelligence model, and means for generating individual responses based on the user's interaction history and sentiment analysis. This makes it possible to provide empathetic responses that respond to emotions, manage the user's daily schedule and tasks, and enable more personalized support.

[0634] "Means for saving basic information entered by the user" refers to a mechanism for storing basic data such as the user's name, email address, and password in a storage device.

[0635] "A means of generating a virtual partner based on user selection using a generated artificial intelligence model" refers to a technology that utilizes a pre-trained generative AI model to create a virtual partner that matches the appearance and voice characteristics selected by the user.

[0636] "Means for generating individual responses based on user interaction history and sentiment analysis" refers to a system that manages past communication history and generates responses tailored to individual users based on the results of analyzing the emotional state that can be gleaned from the user's input.

[0637] "A means of supporting daily life and managing schedules and tasks in conjunction with external services" refers to a system that supports the management of activities and events related to the user's life while exchanging data with other applications and services via the internet.

[0638] "Providing empathetic responses that respond to emotions" means analyzing the user's emotional state and returning a thoughtful response that takes that state into consideration.

[0639] "More personalized support" means providing personalized services and suggestions based on each user's individual needs, emotions, and past history.

[0640] In an embodiment for carrying out the invention, the system is configured as follows.

[0641] The system begins with the user entering basic information through an interface. Data such as the user's name, email address, and password are stored in a dedicated storage device. This device manages the fundamental information necessary for user authentication and service personalization.

[0642] Next, the generated artificial intelligence model is utilized to create a virtual partner based on the user's selected appearance and voice characteristics. This generation process is handled by servers in the cloud, and advanced calculations are performed by the generating AI model as needed. The generation results are stored on the servers and kept available to the user at any time.

[0643] For user interactions, a natural language processing engine (e.g., a natural language processing model) is used to analyze the input content. Following the analysis, an emotion analysis engine (e.g., an emotion analysis program) extracts emotions from the input message and automatically generates empathetic responses based on that data. This response generation process is designed to always provide appropriate content that is attentive to the user's emotions.

[0644] For example, if a user says "I'm feeling a bit down today" on their smartphone, the sentiment analysis engine will determine that emotion is "sadness." Based on this, the generative AI model will create a friendly response such as "How about trying to cheer yourself up a bit?" In this process, an example of a prompt to the generative AI model would be an instruction in the form of, "The user said 'I'm feeling a bit down today.' Sentiment analysis determined it to be 'sadness.' Please generate an appropriate response."

[0645] In addition to empathetic communication, the system also provides support for schedule management and daily life through external applications. This includes integration with schedule management APIs and information retrieval services, enabling features that make users' lives more convenient. For example, if a user says, "Please schedule something for tomorrow morning," the system can automatically operate the calendar API and register the necessary tasks.

[0646] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0647] Step 1:

[0648] The user enters basic information through the terminal. The terminal retrieves data such as name, email address, and password, and sends it to the server. The server stores this information in its storage device and builds the basic database for the user account.

[0649] Step 2:

[0650] The server uses a generative AI model to initiate a process for generating a virtual partner based on the user's selection. It receives appearance and voice characteristic information sent by the user from their device and inputs it into the generative AI model. The generative AI model then uses this information to generate the virtual partner's appearance data and voice profile, which are then stored on the server.

[0651] Step 3:

[0652] When a user initiates a conversation via text or voice, the device sends it to the server. The server feeds the received input to a natural language processing engine, which analyzes the content of the input. The analyzed data is then sent to an emotion analysis engine, where emotion data is extracted from the user's message.

[0653] Step 4:

[0654] The server sends a prompt message to the AI ​​model that generates an appropriate response based on the sentiment analysis results. The prompt message includes instructions such as, "The user said, 'I'm feeling a bit down today.' Sentiment analysis determined it to be 'sadness.' Please generate an appropriate response." Based on this data, the AI ​​model generates an empathetic response and sends it back to the server.

[0655] Step 5:

[0656] The server sends the generated response to the terminal, which is then displayed to the user or output as audio. This allows the user to have a personalized communication experience.

[0657] Step 6:

[0658] When a user requests integration with an external service, the device sends an instruction to the server, such as "Please add an appointment for tomorrow morning." The server processes this request via an external API and notifies the device of the result. This allows for efficient addition of tasks to the user's schedule and efficient task management.

[0659] 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.

[0660] 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.

[0661] 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.

[0662] [Fourth Embodiment]

[0663] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0664] 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.

[0665] 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).

[0666] 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.

[0667] 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.

[0668] 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).

[0669] 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.

[0670] 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.

[0671] 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.

[0672] 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.

[0673] 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.

[0674] 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.

[0675] 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".

[0676] This invention provides a system that allows users to interact with a virtual partner with characteristics of their choosing and receive daily support. Users first access the system using a terminal and create an account. During this process, users input their basic information and send it to the server. The server stores this information in a database to facilitate user identification.

[0677] Next, the user selects facial features and voice type on the device's interface to generate their preferred virtual partner. The device sends the user's selections to the server, which uses a generative AI model to create the virtual partner. The generated data is stored on the server and is available each time the user requests it.

[0678] When a user initiates a conversation with a virtual partner through their device, they use text or voice messages. Messages sent from the device are parsed by the server, which generates an appropriate response. Based on the conversation history collected through this process, the server provides a more personalized response to the user. This response information is returned to the user's device as voice or text.

[0679] Furthermore, the system integrates with external services to provide support for users' daily lives tailored to their needs. For example, if a user wishes to make a restaurant reservation, the terminal transmits this request to the server. The server then uses the relevant external API to retrieve restaurant information and confirm the reservation. Through this process, users can conveniently and efficiently utilize virtual partners.

[0680] The system provided by this system is flexible enough to respond to individual user needs and can continuously evolve through interaction with users. Specific examples of its use include checking daily weather forecasts and creating lists of recommended movies, among other diverse everyday situations.

[0681] The following describes the processing flow.

[0682] Step 1:

[0683] The user launches the application on their device and accesses the account creation screen. The device displays a form prompting the user to enter their name, email address, and password.

[0684] Step 2:

[0685] The user enters the required information and taps the "Submit" button. The device converts this data into a structured format and sends it to the server using a secure protocol (HTTPS).

[0686] Step 3:

[0687] The server verifies the received user information and creates a new user account in the database. The server returns a response to the terminal indicating that the account creation was successful.

[0688] Step 4:

[0689] The user opens the AI ​​partner feature selection screen on their device. The device displays options for facial features and voice type as a visual interface.

[0690] Step 5:

[0691] The user selects features according to their preferences. The device generates a request to send the selected data to the server.

[0692] Step 6:

[0693] The server creates an AI partner using a generated AI model based on selected features. It generates facial image data and voice samples, and stores the data.

[0694] Step 7:

[0695] The server sends information about the generated AI partner to the terminal. The terminal displays this information and allows the user to confirm it.

[0696] Step 8:

[0697] The user sends a message to the AI ​​partner through their device. The device converts the message into text data and sends it to the server.

[0698] Step 9:

[0699] The server analyzes the messages it receives. It uses a natural language processing engine to understand the intent and content of the messages.

[0700] Step 10:

[0701] The server generates response text using a dialogue generation model. The generated response is personalized, taking into account past dialogue history.

[0702] Step 11:

[0703] The server sends the generated response to the terminal. The terminal displays the response to the user in either audio or text format.

[0704] Step 12:

[0705] A user makes a specific support request via their device (e.g., "Please make a reservation at a nearby restaurant"). The device sends this request to the server.

[0706] Step 13:

[0707] The server analyzes the request and calls the appropriate external API to retrieve restaurant information and process reservations.

[0708] Step 14:

[0709] The server processes information obtained from external services and provides the user with a suggested result. The terminal displays this and asks the user for confirmation.

[0710] Step 15:

[0711] The user reviews the suggestions and makes a final selection. The terminal sends the user's selection to the server, which completes the reservation.

[0712] (Example 1)

[0713] 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".

[0714] Conventional information and communication systems have found it difficult to personalize interactions with individual users, and have not provided sufficient means to effectively support daily life. There was a need to provide a partner using generative AI models to a large, unspecified number of users, enabling individualized responses and the utilization of external services.

[0715] 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.

[0716] In this invention, the server includes means for storing basic information entered by the user via an information processing device, means for creating a virtual conversation partner based on the user's selection using a generative AI model, and means for creating individual responses based on the user's conversation history. This enables personalized support for the user and effective assistance in daily life.

[0717] "Information processing equipment" refers to electronic devices used by users to access and operate systems.

[0718] "Basic information" refers to data such as the user's name and contact information, which is necessary for identifying the user and providing services.

[0719] A "generative AI model" is an artificial intelligence technology that creates a virtual conversation partner based on user selections.

[0720] A "virtual conversation partner" is a computer-based conversation partner generated based on the characteristics selected by the user.

[0721] "User interaction history" refers to a record of past interactions between the user and the system.

[0722] "External functions" refer to services or APIs that exist outside the system but can be integrated with it.

[0723] "Sound characteristics" refer to the characteristics of a voice, and are the elements that constitute the unique voice of a virtual conversation partner.

[0724] "External data communication means" refers to methods for exchanging data with external services and information sources via a network.

[0725] This invention provides an information processing system to support users in their daily lives through interaction with a virtual dialogue partner. The system is broadly composed of a terminal used by the user and a server that manages and processes data.

[0726] First, users access the system using a terminal, which is an information processing device, and input their basic information. This includes basic information such as their name and email address, and the terminal plays the role of securely encrypting this data and sending it to the server. The server stores this basic information in a database to make it easier to identify users.

[0727] Next, the user can select a virtual conversation partner through the terminal's interface. Since the virtual conversation partner is created using a generative AI model, its facial features and vocal characteristics are set based on the user's selection. This results in a highly personalized conversation partner. The server stores the generated model in a database, allowing the user to access it at any time.

[0728] When a user initiates a conversation with a virtual partner, the terminal plays a role through the exchange of text or voice messages. The server analyzes the messages sent by the user using natural language processing technology and generates appropriate responses through an AI model. The generated responses are returned to the user as voice or text. The server also manages the conversation history with the user and provides personalized responses based on the context of the conversation.

[0729] Furthermore, the system can interact with external functions to provide various forms of daily support. For example, if a user wishes to make a restaurant reservation, the server retrieves the reservation information via external data communication and returns the result to the terminal along with confirmation. This process can also be used to provide weather information or generate movie recommendation lists.

[0730] Examples of multiple prompt phrases in this invention include: "The virtual partner will provide the user with clothing advice based on the current weather information," and "How will the virtual partner provide personalized customer service based on the elements selected by the user?"

[0731] The entire system is configured to provide a highly flexible and personalized user experience.

[0732] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0733] Step 1:

[0734] Users access the system and create an account using a terminal. Users enter basic information such as their name, email address, and password. The terminal validates the entered information, encrypts it, and sends it to the server. During this process, the terminal checks the input data for defects and errors, and applies encryption to ensure security. The server stores the received information in a database, enabling individual user identification.

[0735] Step 2:

[0736] The user selects the facial features and sound characteristics of their virtual conversation partner through the terminal's interface. The terminal packages the user's selection information and sends it to the server. The server uses a generative AI model to generate prompts based on the user's selections and inputs them into the model. The AI ​​model generates a virtual conversation partner based on the presented prompts and saves the data to the server. In this process, a customized virtual conversation partner is created that takes the selected elements into consideration.

[0737] Step 3:

[0738] The user initiates a conversation with a virtual partner through their device. Input is either a text message or a voice message, which the device sends to the server. The server analyzes the received message using natural language processing and also refers to the conversation history to understand the context of the conversation. A response is generated by an AI model and returned to the user's device in text or voice format. After analysis, an appropriate response is generated and provided to the user.

[0739] Step 4:

[0740] The user wishes to perform actions through external services, such as making restaurant reservations or inquiring about information. The terminal sends this request to the server. The server uses external data communication means to send requests to the relevant external services and retrieve information in real time. The server processes the retrieved information and returns reservation confirmations or detailed information to the terminal, thereby meeting the user's needs. In this step, the user's request is fulfilled through access to external resources.

[0741] (Application Example 1)

[0742] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0743] In modern living environments, it is crucial to efficiently support daily life and improve the quality of interaction between users and virtual partners. However, existing systems have limitations in use within mobile devices, making it difficult to provide support that is fully adapted to the user's lifestyle. Furthermore, responses and support that are appropriate to the user's situation while on the move are insufficient, so a new method is needed to solve this problem.

[0744] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0745] In this invention, the server includes means for storing basic information entered by the user, means for generating a virtual partner based on the user's selection using a generated artificial intelligence model, and means for generating individual responses based on the user's dialogue history. This enables efficient and smooth dialogue with the virtual partner even while on the move, and allows for flexible life support adapted to the user's lifestyle.

[0746] "Basic information" refers to personal data and attribute information about the user, which is used for user identification and customization of virtual partners.

[0747] An "artificial intelligence model" is an automated generation program that creates virtual partners based on user requests, and is a technology used for data analysis and response generation.

[0748] A "virtual partner" is a digital, fictional partner with whom a user can interact, and it is a program that plays a role in supporting the user's life.

[0749] A "means for generating responses" refers to a function that creates appropriate answers to questions or instructions from the user.

[0750] "External services" refer to databases and software services provided by third parties connected via the internet, which are used to assist users in their daily lives.

[0751] A "mobile device" is a device or apparatus that is portable or movable by the user, and serves as the platform for using this system.

[0752] The system of this invention consists of a user, a server, and a terminal. The user first accesses the system using the terminal and creates an account. During this process, the user enters their basic information and sends it to the server. This basic information is stored in a database and serves as the basis for identifying the user.

[0753] Next, the user selects characteristics to generate their preferred virtual partner via the terminal's interface. The selected information is sent from the terminal to the server, which uses a generation AI model to create the virtual partner. The generated virtual partner data is stored on the server and can be retrieved by the user when needed.

[0754] When users interact with their virtual partners via their devices, they can use voice or text messages. Messages sent from the device are analyzed by the server, and individual responses are generated. These responses are created by a generative AI model and returned to the device as voice or text. This allows users to have richer communication with their virtual partners.

[0755] Furthermore, the server integrates with external services to provide the support users need in their daily lives. For example, if a user wants to make a restaurant reservation through a virtual partner, the server can use an external API to retrieve the necessary information and confirm the reservation. This allows users to efficiently manage their lives without having to go through cumbersome procedures.

[0756] The primary software used includes generative AI models (e.g., models provided by OpenAI) and voice dialogue analysis software (e.g., voice services provided by Amazon). For example, if a user asks, "What's the movie schedule for this weekend?", the virtual partner will retrieve the latest movie information via the internet and provide the user with appropriate advice.

[0757] Example of a prompt:

[0758] "Create a virtual partner for your home robot using a generative AI model and help manage your weekend cleaning schedule."

[0759] This system provides users with flexible and adaptive services through mobile terminals, enabling them to interact with virtual partners and receive support in their daily lives.

[0760] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0761] Step 1:

[0762] Users access the system using a terminal and create an account. During this process, users enter basic information such as their name and contact details, and send this information to the server via the terminal. The server stores the received basic information in a database, building a dataset that uniquely identifies the user. The input is the user's basic information, and the output is the user information stored in the database.

[0763] Step 2:

[0764] The user selects facial recognition data and voice type for a virtual partner that suits their preferences on the device's interface. The selected data is sent from the device to the server. The server uses a generative AI model to generate a virtual partner based on the user's selection. The input is the user's selection information, and the output is the generated virtual partner data.

[0765] Step 3:

[0766] To initiate a conversation with a virtual partner, the user sends a voice or text message through their device. The device (or cloud-based platform) receives the message and sends it to a server. The server analyzes the message and generates an appropriate response using an AI model. The input is the voice or text message from the user, and the output is the response message.

[0767] Step 4:

[0768] The server generates response data for the virtual partner and sends it to the terminal in voice or text format. The terminal provides the received response to the user using speech synthesis software or text display functionality. The input is the response message, and the output is the voice or text feedback displayed on the terminal.

[0769] Step 5:

[0770] When a user requests specific assistance, such as making a restaurant reservation, through a virtual partner, the terminal sends the request to a server. The server calls an external API to retrieve the necessary information (e.g., available reservation times) and completes the process. The input is the user's specific request, and the output is information retrieved from an external service or the result of a completed task.

[0771] Step 6:

[0772] The server returns the processing results from the external API to the terminal, providing appropriate feedback to the user. The terminal presents the received information to the user and fulfills the user's needs as a virtual partner. The input is information from the external API, and the output is feedback information provided to the user.

[0773] 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.

[0774] This invention provides a system equipped with emotion recognition capabilities that enables users to interact with virtual partners possessing their preferred characteristics. The user launches the application using a terminal and first creates an account. During this process, they are prompted to enter their name, email address, and password, and this information is sent from the terminal to the server. The server stores this information in a database and uses it to identify each user.

[0775] Next, the user selects the appearance and voice of their virtual partner via their device. The user's selected features are sent to a server, where a generation AI model is used to create the virtual partner. The generated result is stored on the server and kept in a format that the user can always use.

[0776] When a user initiates a conversation with a virtual partner, they use their device to input text or voice. This input is sent to a server and analyzed by a natural language processing engine. Furthermore, an emotion engine analyzes the user's emotions from their input, and the virtual partner's response is adjusted based on this information. This provides the user with a more appropriate and empathetic response.

[0777] As a concrete example, suppose a user sends a message indicating they are feeling tired. In this case, the emotion engine analyzes and recognizes emotions such as "fatigue" and "stress." As a result, the virtual partner can provide an appropriate response such as, "Perhaps you should relax a little today."

[0778] In particular, when a user requests assistance with daily life through their device, for example, "Please book a movie theater ticket for tomorrow night," the device sends the request to the server. The server utilizes its internal generative AI model and emotion engine to obtain the optimal result via an external API and propose it to the user.

[0779] This system provides a flexible and personalized virtual partner experience that takes user emotions into consideration, particularly by leveraging emotion recognition to facilitate communication and optimize support for daily life.

[0780] The following describes the processing flow.

[0781] Step 1:

[0782] The user launches the application on their device and opens the account creation screen. The device displays an interface for the user to enter their name, email address, and password.

[0783] Step 2:

[0784] The user enters the required information and presses the "Submit" button. The terminal sends the input data to the server using a secure communication protocol (HTTPS).

[0785] Step 3:

[0786] The server receives the sent user information, creates a new account in the database, and saves the information. The server then returns a response to the terminal indicating that the account creation was successful.

[0787] Step 4:

[0788] The user accesses the virtual partner's characteristics settings screen on their device. The device displays an interface that provides the user with options such as facial features and voice type.

[0789] Step 5:

[0790] The user selects the desired characteristics of their virtual partner. The terminal generates a request to send the selected configuration information to the server.

[0791] Step 6:

[0792] The server receives the user's selection information and generates a virtual partner using a generative AI model. The generated facial image data and voice samples are stored on the server.

[0793] Step 7:

[0794] The server sends information about the generated virtual partner to the terminal, and the terminal displays the information to the user. The user can then review and approve the generated result.

[0795] Step 8:

[0796] The user enters a text or voice message using their device to initiate a conversation with their virtual partner. The device then sends the message to the server.

[0797] Step 9:

[0798] The server uses a natural language processing engine to analyze messages received from users. Simultaneously, it uses an emotion engine to recognize and analyze the user's emotions from the messages.

[0799] Step 10:

[0800] The server generates a personalized response based on the analysis results, taking into account the user's emotions. A dialogue generation model is used for this purpose.

[0801] Step 11:

[0802] The server sends the generated response to the terminal. The terminal then presents the response to the user in either audio or text format and displays it to the user.

[0803] Step 12:

[0804] The user makes a specific request through the device (e.g., "Make a restaurant reservation"). The device sends this request to the server.

[0805] Step 13:

[0806] The server analyzes the received request in detail to identify the necessary processing. It then calls external APIs to perform reservation and information retrieval procedures.

[0807] Step 14:

[0808] The server processes the results returned from the external service and creates a suggestion for the user based on that. The terminal displays this suggestion and asks the user for confirmation.

[0809] Step 15:

[0810] After the user reviews the suggested options, they can make a final selection or be instructed to do so. The terminal sends this selection information to the server, which then completes the specified procedure.

[0811] (Example 2)

[0812] 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".

[0813] In recent years, there has been a growing demand for virtual dialogue systems that provide users with emotionally supportive and personalized experiences. However, existing technologies lack sufficient methods to appropriately recognize and reflect user emotions in responses, and also lack efficient ways to seamlessly integrate with external services. As a result, virtual dialogues often feel mechanical and fail to satisfy users.

[0814] 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.

[0815] In this invention, the server includes means for recording personal identification information entered by the user, means for generating a virtual dialogue partner based on the user's preferences using an information processing model generated via a remote data processing device, and means for analyzing the communication content received from the user, extracting emotions using natural language processing means, and individually adjusting the response. This enables natural and empathetic responses that correspond to the user's emotional state, and further provides functions that smoothly support daily activities.

[0816] A "user" is an individual or group that operates the system and receives personal experiences or information from it.

[0817] "Personal identification information" refers to information used to identify a user, and typically includes information such as name, email address, and password.

[0818] A "remote data processing device" is a computer system or server used to process data and generate output in response to user input.

[0819] An "information processing model" is a model designed to analyze data using machine learning algorithms and neural networks and to perform a specific task.

[0820] A "virtual dialogue target" is a digital agent or character created on a computer that can interact with a user.

[0821] "Natural language processing" refers to technologies and processes that understand human language input as text or speech and convert it into structured data.

[0822] "Means for extracting emotions and individually adjusting responses" refers to technology that identifies the user's emotions from the input information and changes the content and nuances of the response accordingly.

[0823] This invention is a system for providing a virtual dialogue experience that responds to the user's emotions. The system includes a series of steps for processing user input information, recognizing emotions, and generating responses.

[0824] The user first launches the application using a terminal and enters their personal identification information. The terminal sends the entered data to the server. The server stores the data in a database, enabling user-specific identification. The server also uses a data processing device located remotely to create an information processing model and generate a virtual conversational partner based on the user's preferences.

[0825] After a virtual conversation partner is created, the user begins interacting with the virtual agent through their terminal. Messages, entered as text or voice, are sent from the terminal to the server. The server analyzes the received messages using natural language processing and also uses an emotion analysis engine to extract the user's emotions.

[0826] After emotions are extracted, the server uses a generative AI model to generate responses from the virtual agent. This response generation may involve prompts, such as "Generate a virtual dialogue response for when the user feels joy." This enables natural, empathetic conversations that are sensitive to the user's emotions.

[0827] The server also has the ability to connect with external information services to assist users with tasks they need in their daily lives. For example, in response to a request such as "Please make a restaurant reservation for tomorrow night," the server can use an external API to make the reservation and inform the user of the result.

[0828] This system generates responses that correspond to the user's emotions, enabling support in various aspects of daily life. By combining complex emotion recognition and natural language processing technologies, it provides a personalized experience.

[0829] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0830] Step 1:

[0831] The user launches the application on their device and enters personal identification information. This information includes the user's name, email address, and password. The device sends this information to the server. The server stores the received personal identification information in a database and generates a unique ID for the user. This process ensures that the user can be identified and authenticated for future access.

[0832] Step 2:

[0833] The user selects the appearance and voice characteristics of a virtual conversation partner via a terminal. The terminal sends the user's preference information to the server. The server uses this as a trigger to activate a generative AI model and generate a virtual agent by inputting a prompt message. The prompt message is in the form of "Please generate a virtual agent that matches the characteristics selected by the user." The generated virtual agent is stored on the server.

[0834] Step 3:

[0835] The user initiates interaction with a virtual agent using a terminal. The user inputs a message via text or voice on the terminal, which then sends it to the server. The server passes the received message to a natural language processing engine, which tokenizes the text data and analyzes its grammatical structure. Based on the analysis results, the server understands the meaning and structure of the message.

[0836] Step 4:

[0837] The server passes the analyzed message to the emotion engine, which extracts the user's emotions from the message. The emotion engine assigns emotion labels such as "joy," "sadness," and "fatigue" based on the words and tone of the message. Using this information, the server adjusts the content of its response.

[0838] Step 5:

[0839] The server uses a generative AI model to generate responses for the virtual agent. This process involves inputting emotion-sensitive prompts into the generative AI model to generate appropriate responses. The generated responses will be tailored to the user's emotions.

[0840] Step 6:

[0841] The server sends the generated response to the terminal. The terminal can then display this response to the user or play it back using its audio output function. This allows the user to continue the conversation and enables interaction with the virtual agent.

[0842] Step 7:

[0843] If a user requests routine support as needed, the device sends the request to the server. The server uses external APIs to make reservations and retrieve information, and then sends the results back to the device. For example, it can respond to requests such as "Please reserve movie tickets."

[0844] (Application Example 2)

[0845] 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".

[0846] In the daily lives of those receiving care, there is a need for systems that provide appropriate support and empathetic communication tailored to their emotions. However, conventional technologies have limited ability to recognize emotions and respond accordingly, making it difficult to provide personalized support. Furthermore, there are problems with the efficient management of daily schedules and task suggestions.

[0847] 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.

[0848] In this invention, the server includes means for storing basic information entered by the user, means for generating a virtual partner based on the user's selection using a generated artificial intelligence model, and means for generating individual responses based on the user's interaction history and sentiment analysis. This makes it possible to provide empathetic responses that respond to emotions, manage the user's daily schedule and tasks, and enable more personalized support.

[0849] "Means for saving basic information entered by the user" refers to a mechanism for storing basic data such as the user's name, email address, and password in a storage device.

[0850] "A means of generating a virtual partner based on user selection using a generated artificial intelligence model" refers to a technology that utilizes a pre-trained generative AI model to create a virtual partner that matches the appearance and voice characteristics selected by the user.

[0851] "Means for generating individual responses based on user interaction history and sentiment analysis" refers to a system that manages past communication history and generates responses tailored to individual users based on the results of analyzing the emotional state that can be gleaned from the user's input.

[0852] "A means of supporting daily life and managing schedules and tasks in conjunction with external services" refers to a system that supports the management of activities and events related to the user's life while exchanging data with other applications and services via the internet.

[0853] "Providing empathetic responses that respond to emotions" means analyzing the user's emotional state and returning a thoughtful response that takes that state into consideration.

[0854] "More personalized support" means providing personalized services and suggestions based on each user's individual needs, emotions, and past history.

[0855] In an embodiment for carrying out the invention, the system is configured as follows.

[0856] The system begins with the user entering basic information through an interface. Data such as the user's name, email address, and password are stored in a dedicated storage device. This device manages the fundamental information necessary for user authentication and service personalization.

[0857] Next, the generated artificial intelligence model is utilized to create a virtual partner based on the user's selected appearance and voice characteristics. This generation process is handled by servers in the cloud, and advanced calculations are performed by the generating AI model as needed. The generation results are stored on the servers and kept available to the user at any time.

[0858] For user interactions, a natural language processing engine (e.g., a natural language processing model) is used to analyze the input content. Following the analysis, an emotion analysis engine (e.g., an emotion analysis program) extracts emotions from the input message and automatically generates empathetic responses based on that data. This response generation process is designed to always provide appropriate content that is attentive to the user's emotions.

[0859] For example, if a user says "I'm feeling a bit down today" on their smartphone, the sentiment analysis engine will determine that emotion is "sadness." Based on this, the generative AI model will create a friendly response such as "How about trying to cheer yourself up a bit?" In this process, an example of a prompt to the generative AI model would be an instruction in the form of, "The user said 'I'm feeling a bit down today.' Sentiment analysis determined it to be 'sadness.' Please generate an appropriate response."

[0860] In addition to empathetic communication, the system also provides support for schedule management and daily life through external applications. This includes integration with schedule management APIs and information retrieval services, enabling features that make users' lives more convenient. For example, if a user says, "Please schedule something for tomorrow morning," the system can automatically operate the calendar API and register the necessary tasks.

[0861] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0862] Step 1:

[0863] The user enters basic information through the terminal. The terminal retrieves data such as name, email address, and password, and sends it to the server. The server stores this information in its storage device and builds the basic database for the user account.

[0864] Step 2:

[0865] The server uses a generative AI model to initiate a process for generating a virtual partner based on the user's selection. It receives appearance and voice characteristic information sent by the user from their device and inputs it into the generative AI model. The generative AI model then uses this information to generate the virtual partner's appearance data and voice profile, which are then stored on the server.

[0866] Step 3:

[0867] When a user initiates a conversation via text or voice, the device sends it to the server. The server feeds the received input to a natural language processing engine, which analyzes the content of the input. The analyzed data is then sent to an emotion analysis engine, where emotion data is extracted from the user's message.

[0868] Step 4:

[0869] The server sends a prompt message to the AI ​​model that generates an appropriate response based on the sentiment analysis results. The prompt message includes instructions such as, "The user said, 'I'm feeling a bit down today.' Sentiment analysis determined it to be 'sadness.' Please generate an appropriate response." Based on this data, the AI ​​model generates an empathetic response and sends it back to the server.

[0870] Step 5:

[0871] The server sends the generated response to the terminal, which is then displayed to the user or output as audio. This allows the user to have a personalized communication experience.

[0872] Step 6:

[0873] When a user requests integration with an external service, the device sends an instruction to the server, such as "Please add an appointment for tomorrow morning." The server processes this request via an external API and notifies the device of the result. This allows for efficient addition of tasks to the user's schedule and efficient task management.

[0874] 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.

[0875] 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.

[0876] 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.

[0877] 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.

[0878] 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.

[0879] 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.

[0880] 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.

[0881] 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.

[0882] 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."

[0883] 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.

[0884] 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.

[0885] 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.

[0886] 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.

[0887] 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.

[0888] 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.

[0889] 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.

[0890] 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.

[0891] 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.

[0892] 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.

[0893] 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.

[0894] 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.

[0895] The following is further disclosed regarding the embodiments described above.

[0896] (Claim 1)

[0897] A means of saving the basic information entered by the user,

[0898] A means for generating a virtual partner based on user selection using a generated artificial intelligence model,

[0899] A means for generating individual responses based on the user's interaction history,

[0900] A means of performing functions to support daily life in conjunction with external services,

[0901] A system that includes this.

[0902] (Claim 2)

[0903] The system according to claim 1, wherein the virtual partner generates voice data such that it has voice characteristics preferred by the user.

[0904] (Claim 3)

[0905] The system according to claim 1, comprising means for performing reservations and information acquisition via an external API based on user requests.

[0906] "Example 1"

[0907] (Claim 1)

[0908] A means for storing basic information entered by a user via an information processing device,

[0909] A means of creating a virtual conversation partner based on user selection using a generative AI model,

[0910] A means of generating individual responses based on user interaction history,

[0911] A means of performing a function that supports daily activities in conjunction with an external function,

[0912] A system that includes this.

[0913] (Claim 2)

[0914] The system according to claim 1, wherein the virtual dialogue partner generates sound characteristics preferred by the user.

[0915] (Claim 3)

[0916] The system according to claim 1, comprising means for performing reservations and information gathering via external data communication means based on the user's wishes.

[0917] "Application Example 1"

[0918] (Claim 1)

[0919] A means of saving the basic information entered by the user,

[0920] A means for generating a virtual partner based on user selection using a generated artificial intelligence model,

[0921] A means for generating individual responses based on the user's interaction history,

[0922] A means of performing functions to support daily life in conjunction with external services,

[0923] A means for users to interact with a virtual partner while on a mobile device and receive life support,

[0924] A system that includes this.

[0925] (Claim 2)

[0926] The system according to claim 1, wherein the virtual partner generates voice data such that it has voice characteristics preferred by the user.

[0927] (Claim 3)

[0928] The system according to claim 1, which includes means for making reservations and obtaining information via external APIs based on user requests, and for managing mobile objects.

[0929] "Example 2 of combining an emotion engine"

[0930] (Claim 1)

[0931] A means of recording personally identifiable information entered by the user,

[0932] A means for generating a virtual dialogue target based on user preferences using an information processing model generated via a remote data processing device,

[0933] A means for analyzing the content of communications received from users, extracting emotions using natural language processing, and individually adjusting responses,

[0934] A means of implementing functions that support users' daily activities by collaborating with external information provision services,

[0935] A system that includes this.

[0936] (Claim 2)

[0937] The system according to claim 1, which generates voice information such that the virtual dialogue target has voice characteristics tailored to the user's preferences.

[0938] (Claim 3)

[0939] The system according to claim 1, comprising means for scheduling and receiving information via external information acquisition means, based on user instructions.

[0940] "Application example 2 of combining emotional engines"

[0941] (Claim 1)

[0942] A means of saving the basic information entered by the user,

[0943] A means for generating a virtual partner based on user selection using a generated artificial intelligence model,

[0944] Means for generating individual responses based on user interaction history and sentiment analysis,

[0945] A means of supporting daily life by integrating with external services and performing functions to manage schedules and tasks,

[0946] A system that includes this.

[0947] (Claim 2)

[0948] The system according to claim 1, wherein the virtual partner has voice characteristics preferred by the user and provides empathetic responses in accordance with emotions.

[0949] (Claim 3)

[0950] The system according to claim 1, comprising means for making reservations and obtaining information through external applications based on user requests, and for making proposals. [Explanation of symbols]

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Claims

1. A means of saving the basic information entered by the user, A means for generating a virtual partner based on user selection using a generated artificial intelligence model, A means for generating individual responses based on the user's interaction history, A means of performing functions to support daily life in conjunction with external services, A means for users to interact with a virtual partner while on a mobile device and receive life support, A system that includes this.

2. The system according to claim 1, wherein the virtual partner generates voice data such that it has voice characteristics preferred by the user.

3. The system according to claim 1, which includes means for making reservations and obtaining information via external APIs based on user requests, and for managing mobile objects.

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