system

Abstract

We provide the system. [Solution] Information processing means for receiving, registering, and authenticating user information, A generation processing means for generating conversation content and creating a dialogue scene, A dialogue processing means that provides an interface for interacting with users and processes responses in real time, An analytical processing means for analyzing user dialogue data and generating skill evaluations and feedback, A progress display means that provides a method for tracking and visualizing the skill progress of users, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance that responds 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] There are a certain number of people who are underestimated due to their low communication skills and cannot fully demonstrate their abilities in the workplace or daily life. With conventional methods, it is difficult for these people to receive effective training to improve their interpersonal skills with confidence, and there is a lack of a place where they can practice without fear of failure. As a result, there is a problem that they cannot communicate well in interviews or presentation situations and miss good jobs or opportunities.

Means for Solving the Problems

[0005] This invention utilizes information processing means for receiving, registering, and authenticating user information. It also includes generation processing means for generating conversation content and creating dialogue scenes, and further combines these with dialogue processing means that provide an interface for engaging in dialogue with the user and process responses in real time. Analysis processing means analyzes the user's dialogue data to generate skill evaluations and feedback, while progress display means tracks and visualizes the user's skill progress. This provides a system that allows users to confidently train and evaluate their communication skills.

[0006] "User information" refers to data and authentication information about individual users who use the system.

[0007] "Registration and authentication" refers to the process of creating an account to allow a user to access the system and verifying its legitimacy.

[0008] "Information processing means" refers to the functions that receive, store, and manage the data necessary for the system to operate.

[0009] "Conversation content" refers to the text or audio of questions and answers generated by the AI ​​to facilitate dialogue with the user.

[0010] "Generation processing means" refers to a function in which AI dynamically generates conversation scenes and content according to the user's needs.

[0011] A "dialogue scene" refers to the background and conditions of a conversation that are set based on a specific situation or theme.

[0012] "Interface" refers to the means, including screens and control panels, that allow users to interact with a system.

[0013] "Dialogue processing means" refers to the operation in which the system receives input from the user and generates a response accordingly.

[0014] "Analysis processing means" refers to the function of analyzing the conversation data of users to generate feedback and evaluation points.

[0015] "Skill evaluation" refers to measuring the know-how and abilities based on the content of the conversation conducted by the user.

[0016] "Feedback" refers to the notification of evaluation and improvement points provided for the conversation and actions of users.

[0017] "Progress display means" refers to the method of visually showing the state of improvement of the user's skills.

[0018] "Tracking" refers to tracking and recording the changes and progress of the user's skills.

Brief Description of Drawings

[0019] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main 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 a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Mode for Carrying Out the Invention

[0020] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0021] First, the terms used in the following description will be described.

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

[0023] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

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

[0025] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0026] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0027] [First Embodiment]

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

[0029] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0030] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0031] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0032] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0033] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0034] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0036] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0037] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0038] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0039] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0040] This invention is a system that improves users' interpersonal communication skills and mainly consists of a server, a terminal, and a user. The coordinated operation of each component allows users to train with confidence.

[0041] The system first requires the user to input information via a terminal to register an account. The terminal then sends this information to a server, which authenticates the user based on the received information. Once authentication is complete, the user can use the system.

[0042] Next, the user selects a communication scenario they want to practice on their device. For example, they can choose a scenario where they express their opinion in a workplace meeting. The device sends the selection information to the server, which uses AI to generate a conversation tailored to the user. This generated scenario is then sent to the device and presented to the user.

[0043] At the start of the interaction, the terminal provides a user-friendly interface, which the user uses to interact with the AI. This real-time interaction proceeds with the user's statements being sent from the terminal to the server-side AI, which then generates an appropriate response and sends it back to the terminal.

[0044] Once the conversation ends, the server analyzes the user's conversation data and generates feedback based on the conversation. This feedback includes an easy-to-understand evaluation and suggestions for improvement, which are provided to the user via the terminal.

[0045] Furthermore, the system uses a progress display function to track and graphically display the skills and areas for improvement that the user has acquired so far. This display allows users to visually grasp their own growth and boost their motivation.

[0046] For example, if a user selects a workplace presentation practice scenario, the device will present a sequence of steps from the beginning to the end of the presentation. The user will interact with the AI ​​following this sequence, practicing their presentation skills. Furthermore, if the user lacks confidence during the interaction, the AI ​​will immediately provide support, such as pointing out areas for improvement.

[0047] Thus, the present invention is a system that improves users' interpersonal skills in various scenarios and provides practical feedback, enabling them to approach even spontaneous communication with confidence.

[0048] The following describes the processing flow.

[0049] Step 1:

[0050] The user accesses the account registration page on their device and enters the required registration information (username, email address, password, etc.). The device receives this information and sends it to the server.

[0051] Step 2:

[0052] The server verifies the received user information and stores it in the database. Once registration is complete, the server sends an authentication completion message to the terminal, creating an environment where the user can log in to the system.

[0053] Step 3:

[0054] After logging in, users select a scenario in which they want to practice communication on their device. For example, they can choose from "Workplace Meeting," "Presentation," or "Job Interview."

[0055] Step 4:

[0056] The terminal sends the selected scenario information to the server. The server receives this information, uses AI to generate dialogue content corresponding to the selected scenario, and sends it back to the terminal.

[0057] Step 5:

[0058] The terminal presents the user with the scenario content sent from the server. The user then begins interacting with the AI ​​through the interface on the terminal.

[0059] Step 6:

[0060] As the user engages in dialogue, the device sends input from the user to the server in real time through voice recognition and text input. The server's AI analyzes this input, generates an appropriate response, and returns it to the device.

[0061] Step 7:

[0062] Once the interaction ends, the server analyzes the user's statements and dialogue logs to generate feedback data. The analysis results include skill evaluations and areas for improvement.

[0063] Step 8:

[0064] The device displays feedback sent from the server to the user. This feedback includes areas where the user can improve in the next interaction, as well as points of success.

[0065] Step 9:

[0066] Finally, the server records the user's session history in a database to track progress. The terminal then displays graphs and charts based on the recorded data to visually show the user's skill improvement, allowing users to track their progress.

[0067] (Example 1)

[0068] 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."

[0069] Providing effective systems for improving interpersonal communication skills is crucial in many fields. However, traditional methods often lacked practical feedback or made it difficult to visually track progress. As a result, users found it difficult to perceive their own improvement and learn effectively.

[0070] 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.

[0071] In this invention, the server includes information processing means for receiving, registering, and authenticating user information; generation processing means for generating conversation content and creating dialogue scenarios; and dialogue processing means for providing an ergonomic interface for interacting with the user and processing responses in real time. This enables users to effectively acquire skills and learn while experiencing their progress.

[0072] "User information" refers to personal data provided by the user, such as name, contact information, and identification data for authentication.

[0073] "Information processing means" refers to the technical processes for receiving, processing, registering, and authenticating data provided by users.

[0074] "Generation processing means" refers to technology that enables a system to automatically create conversation content that meets the user's needs and to set up a dialogue scenario.

[0075] An "ergonomic interface" refers to a user interface designed for ease of use, which is used when a user interacts with a system.

[0076] "Dialogue processing means" refers to technology for generating and transmitting responses in real time based on user input.

[0077] "Analysis processing means" refers to a method for analyzing user dialogue data and generating skill evaluations and improvement suggestions.

[0078] "Visual representation" refers to methods of displaying user progress and skill improvement using graphs, charts, and other visual aids.

[0079] This invention includes a system for effectively improving interpersonal communication skills for users. The system mainly consists of a server, terminals, and users.

[0080] The server functions as an information processing device, receiving user information transmitted from users via their terminals. The server stores this data in a database and performs user registration and authentication. Authentication is performed using a database system or a user authentication API.

[0081] Users operate this system via a terminal. The terminal features a user-friendly, ergonomic interface from which users select communication scenarios they wish to practice. This interface is implemented using touchscreens, voice input devices, and other means.

[0082] Selection information is sent from the terminal to the server, which uses a generative AI model to generate conversation scenarios suitable for the user. This process includes generative AI technologies (e.g., natural language generation engines) as AI models for text generation, for example. The interaction between the user and the AI ​​model takes place in real time, with the server receiving the user's statements and the AI ​​generating appropriate responses which are then sent to the terminal.

[0083] Furthermore, the server uses analytical processing tools to analyze user interaction data. It utilizes natural language processing technology to provide skill assessments and feedback. Assessments are presented using specific numerical values ​​and strings, while feedback includes areas for improvement and success stories.

[0084] The system uses progress display mechanisms to visually represent the user's skill improvement. This involves using libraries and visualization software for displaying graphs and charts.

[0085] As a concrete example, suppose a user wants to "simulate a scenario where they propose a new project to their boss at work." In this case, the server uses a generative AI model to generate conversation content appropriate to that scenario and delivers it to the device. The user can then interact with the device based on this content and receive practical feedback.

[0086] An example of a prompt might be, "Simulate a scenario where you propose a new project to your boss at work. Identify the key points you should mention and explain how to communicate them confidently." Based on this prompt, the AI ​​generates an appropriate dialogue scenario.

[0087] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0088] Step 1:

[0089] The server receives user information and performs registration and authentication. Personal data (such as name and email address) entered by the user via the terminal is sent from the terminal to the server. The server stores this information in a database and performs authentication by comparing the stored data with the entered data. This process allows the user to access the system.

[0090] Step 2:

[0091] The user uses the device to select a communication scenario they want to practice. The user interface on the device offers several scenarios, such as workplace presentations. Based on the user's selection, the device sends the selected scenario information to the server. The transmitted data is in JSON format.

[0092] Step 3:

[0093] The server generates conversation content using a generation AI model based on the received scenario information. First, a prompt (e.g., "Please simulate a scenario where you propose a new project to your boss at work.") is input to the AI ​​model. Based on this prompt, the AI ​​model generates contextually appropriate dialogue content and sends the generated dialogue scenario to the terminal.

[0094] Step 4:

[0095] The terminal displays a generated conversation scenario and provides an interface to the user. The user initiates interaction with the AI ​​through the terminal. The terminal converts the user's voice input into text and sends this text data to the server. The server uses a generative AI model to generate an appropriate response to the user's input and sends it back to the terminal.

[0096] Step 5:

[0097] After the conversation ends, the server analyzes the user's conversation data. Utilizing speech recognition technology and natural language processing algorithms, the server evaluates the user's statements and generates data to assess their skill level. The generated evaluation and feedback information is sent to the terminal and displayed to the user.

[0098] Step 6:

[0099] The server tracks the user's skill acquisition progress using progress display mechanisms. This involves using graphical tools to visualize the user's behavior history and areas for improvement. The visualized progress information is presented to the user via their terminal to assist with self-assessment.

[0100] Through this series of processes, users can improve their interpersonal communication skills.

[0101] (Application Example 1)

[0102] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0103] While many systems exist to improve interpersonal communication skills, there is a lack of effective training systems, particularly for improving customer service skills in physical stores. In this context, there is a need to provide a system that allows users to safely conduct customer service training with virtual customers.

[0104] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0105] In this invention, the server includes information processing means for receiving, registering, and authenticating user information; generation processing means for generating conversation content and creating dialogue scenes; and training support means for providing dialogue scenarios with virtual customers with the aim of improving real-world customer service skills. This enables users to practically improve their skills in a way that is relevant to real-world customer service situations and to make further improvements through feedback.

[0106] "Information processing means for receiving, registering, and authenticating user information" refers to the process of collecting personal data provided by users and using that data to identify and authorize users in order to ensure secure access.

[0107] "Generative processing means for generating conversation content and creating dialogue scenes" refers to a method for automatically constructing and providing appropriate and consistent conversation scenarios according to the user's choices and circumstances.

[0108] "Dialogue processing means that provides an interface for engaging in conversation with users and processes responses in real time" refers to technology that provides a user interface for users to communicate naturally with machines, enabling the listening of speech and immediate responses in the process.

[0109] "Analysis processing means for analyzing user dialogue data and generating skill evaluations and feedback" refers to processing technology that analyzes data collected during a dialogue to evaluate the user's interpersonal skills and creates and provides feedback based on that evaluation.

[0110] "A progress display means that provides a method for tracking and visualizing a user's skill progress" refers to a method for continuously observing the process of a user's skill improvement and showing the results and progress to the user in a visual format.

[0111] "Training support means that provides dialogue scenarios with virtual customers with the aim of improving real-world customer service skills" refers to support technology that provides users with the experience of interacting with virtual customers by simulating actual customer service situations, in order to hone the skills necessary for customer service.

[0112] This invention is a training system aimed at improving customer service skills in physical stores. The system mainly consists of three elements: a server, a terminal, and a user. Each of these elements works in conjunction to enable effective training for the user.

[0113] The server receives user information and performs registration and authentication. This is a necessary process to ensure system security and provide a personalized experience for each user. The terminal utilizes a generative AI model to generate conversation scenarios based on the user's choices. These generated scenarios create dialogue scenes with virtual customers simulating customer service situations, allowing users to participate in training with a sense of realism.

[0114] Users use their devices to engage in real-time conversations with virtual customers. Spoken words during the conversation are instantly transcribed using speech recognition technology, and AI analyzes the text to generate appropriate responses. Once the conversation ends, the server analyzes the user's conversation data to generate a skill assessment and feedback. This allows users to gain a concrete understanding of their strengths and areas for improvement.

[0115] Furthermore, the server tracks the user's skill progress and visualizes the results. This allows users to intuitively understand their own growth and increase their motivation. Smartphones and smart glasses are used as terminals, and when smart glasses are used in particular, the interaction with virtual customers can be experienced in a more realistic way.

[0116] As a concrete example, if a user selects a scenario involving product guidance, the device will present a series of steps explaining product information and train by responding to questions from a virtual customer. By inputting prompts such as "Generating AI model, generate effective phrases for customer guidance," the AI ​​will be presented with more specific and practical phrases, allowing the user to practice responding immediately.

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

[0118] Step 1:

[0119] The server receives user information from the user and performs registration and authentication. In this process, personal data entered by the user via the terminal is stored in a database, and the authentication algorithm checks whether the data is legitimate. The input is authentication information such as ID and password, and the output is the success or failure of authentication.

[0120] Step 2:

[0121] Once authentication is complete, the terminal displays a list of available customer service scenarios to the user. The user then selects the scenario they wish to train on. The input is the scenario selected by the user, and the output is information about the selected scenario.

[0122] Step 3:

[0123] The server generates conversation scenarios using a generative AI model based on scenario information sent from the terminal. During this process, data processing is performed to design appropriate phrases and conversation flow based on the selected scenario. The input is information about the selected scenario, and the output is the generated conversation scenario.

[0124] Step 4:

[0125] The terminal presents the user with a generated conversation scenario and initiates a real-time dialogue with a virtual customer. Speech recognition technology is used to convert the user's utterances into text data, which is then sent to the server. The input is the user's spoken utterances, and the output is the transcribed utterance data.

[0126] Step 5:

[0127] The server analyzes the received text data and generates an appropriate response using a generative AI model. In this step, phrase generation and contextual understanding are performed using prompt sentences. The input is the user's text statement, and the output is the response text generated by the AI.

[0128] Step 6:

[0129] The terminal relays the response received from the server to the user and continues the conversation. In this process, the response is provided to the user in voice using speech synthesis technology. The input is the response text generated by the AI, and the output is the response as synthesized speech.

[0130] Step 7:

[0131] Once the conversation ends, the server analyzes all conversation data and generates a user skill assessment and feedback. This step involves data calculations, such as comparisons with past conversation data. The input is the text data collected during the conversation, and the output is feedback including assessments and improvement suggestions.

[0132] Step 8:

[0133] After feedback is generated, the server uses a progress tracking function to visualize the user's skill improvement and sends it to the terminal. This allows the user to track their progress through graphical information. The input is the skill evaluation result, and the output is visualized progress information.

[0134] 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.

[0135] This invention is a system for improving users' interpersonal communication skills, and in addition to functions for registering user information, generating conversation scenarios, conducting dialogues, skill evaluation, and providing feedback, it is equipped with an emotion engine that recognizes the user's emotions. The main components of this system are a server, a terminal, and the user, and they work together to provide an effective training environment.

[0136] In the initial stages of the system, users register an account via their terminal and send the necessary information to the server. The server processes the information and stores it in a database, thereby building the foundation for users to utilize the system.

[0137] Next, the user selects a specific communication scenario on a device selection screen. For example, they can choose a scenario such as a workplace presentation or an interview. The selected information is sent to the server, where the AI ​​generates a corresponding conversation and sends it back to the device.

[0138] During the dialogue process, the user interacts with the AI ​​in real time through the device's interface. The system utilizes an emotion engine to recognize emotions from the user's voice and text data. The recognized emotions are processed on a server and used to adjust responses to the user and the content of the dialogue.

[0139] When an interaction takes place, the server analyzes the user's statements along with emotional data and generates feedback. This feedback includes specific areas for improvement based on skill achievement and emotional changes, and is provided to the user via the device.

[0140] As a concrete example, consider a scenario where the user sets up an interview situation. If the emotion engine detects that the user is feeling anxious, the server will generate a response in a gentle, conversational tone. If the user shows positive emotions, the server can present more challenging questions and provide a more engaging dialogue.

[0141] Furthermore, the system has the functionality to track user progress and display it on the device as graphs and charts. This allows users to intuitively understand their skill improvement and use that information to further enhance their abilities.

[0142] Thus, the present invention provides an environment in which users can express their emotions with peace of mind and further promotes the improvement of communication skills.

[0143] The following describes the processing flow.

[0144] Step 1:

[0145] The user logs into the device, registers personal information, and creates an account. The device sends this information to the server, which stores it in a database.

[0146] Step 2:

[0147] The user selects a conversation scenario they want to practice on their device. This selection is sent from the device to the server, which uses AI to generate the conversation.

[0148] Step 3:

[0149] The generated conversation content is sent to the terminal and presented to the user. The terminal provides a dialogue interface, and the user begins interacting with the AI.

[0150] Step 4:

[0151] When a user interacts with the AI ​​via their device, the emotion engine analyzes the voice and text and sends the user's emotional state to the server in real time.

[0152] Step 5:

[0153] Based on the received emotional information and dialogue content, the server's AI generates a response that corresponds to the user's emotions and sends it back to the terminal.

[0154] Step 6:

[0155] Once the conversation ends, the server analyzes the emotional data and conversation history to generate a skill evaluation and feedback. The feedback will take into account the user's emotional state.

[0156] Step 7:

[0157] The device displays the generated feedback to the user. Information including areas for improvement and successes is provided, which can be used to inform future interactions.

[0158] Step 8:

[0159] The server tracks the user's progress using conversation and emotional data, and sends visualized progress reports to the device. Users can then view these reports to track their skill improvement.

[0160] (Example 2)

[0161] 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".

[0162] In modern society, there is a demand for users to effectively improve their interpersonal communication skills. However, general communication training systems often fail to adequately consider the user's emotional state in their responses, or to provide real-time skill evaluation and improvement feedback. Therefore, there is a need for a system that appropriately recognizes the user's emotions and provides conversational responses and feedback accordingly.

[0163] 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.

[0164] In this invention, the server includes data processing means for receiving user information and performing authentication, generation means for generating conversation content and creating dialogue scenes using a generation AI model, and evaluation means for recognizing and analyzing emotions from the user's dialogue data using an emotion engine and generating feedback. This enables flexible conversational responses that respond to the user's emotions, as well as real-time skill evaluation and improvement suggestions.

[0165] "Data processing means" refers to a system or function used to authenticate and record information received from a user.

[0166] "Generative means" refers to a technology or method for generating conversation content using a generative AI model and constructing a specific dialogue scenario.

[0167] A "communication interface means" is a technology or system that enables real-time interaction with users and provides responses.

[0168] An "emotion engine" is software or technology that recognizes emotions from a user's voice or text, and uses that information to analyze and adjust responses.

[0169] "Evaluation methods" refer to methods and technologies for analyzing user dialogue data and generating skill evaluations and feedback.

[0170] A "visualization means" is a technology or system for visually representing and presenting a user's skill progress to the user.

[0171] A "generative AI model" is an artificial intelligence model that automatically generates conversation content based on user selections and inputs.

[0172] This invention is a system for improving users' interpersonal communication skills. The system includes three main components: a server, a terminal, and a user, which work together to function. The following details the embodiments for carrying out this invention.

[0173] The server receives user information and uses data processing tools to process it. These tools authenticate and record the information and store it in a database. Using a generative AI model, the server generates conversation content based on user choices. The generation process is executed by the AI ​​model according to prompts. An example of such a prompt is, "Generate a scenario for giving an effective presentation at work."

[0174] The terminal acts as the interface with the user, enabling real-time interaction. It uses speech recognition technology to convert the user's voice input into text and sends it to the server. The server uses an emotion engine to recognize emotions from the user's voice and text data and adjusts the conversation based on that information.

[0175] After the interaction, the server analyzes the user's dialogue data using evaluation tools and generates a skill assessment and feedback. The feedback includes specific suggestions for improvement and is provided to the user via the terminal. For example, if the user shows signs of nervousness, advice such as "Try breathing exercises to relieve tension" might be offered.

[0176] Furthermore, the server tracks the user's skill progress and displays the progress data on the terminal as graphs and charts using visualization tools. This allows users to visually confirm their own growth and plan for further improvement.

[0177] The entire system aims to provide users with a safe environment to express their emotions and to help them continuously improve their communication skills.

[0178] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0179] Step 1:

[0180] Users register an account by entering necessary personal information from their device. This information includes their name, email address, and the skills they wish to improve. This information is taken into the device as input and sent to the server. The server verifies the received information using data processing tools and stores it in a database. As output, the user's account is authenticated and ready to use the system.

[0181] Step 2:

[0182] The user selects a desired scenario from a list of communication scenarios provided on the terminal interface. The scenario selection is taken as input from the terminal and sent to the server. Based on the selected information, the server generates an appropriate prompt for the AI ​​model. For example, a prompt such as "Generate a dialogue to improve presentation skills" might be generated. The generated prompt is sent to the AI ​​model as input, and the conversation content is generated as output.

[0183] Step 3:

[0184] The server sends the generated conversation content to the terminal. The user then begins interacting with the AI ​​in real time via the terminal. The user's speech is taken as input to the terminal and converted into text data using speech recognition technology. The converted text data is sent to the server, where emotion recognition is performed using an emotion engine. The emotion information is output and used to adjust the next conversation.

[0185] Step 4:

[0186] During the conversation, the user's emotions are processed on the server through analysis by an emotion engine. For example, if anxiety is detected in the user's statements, the server generates a calm response. The input for this process is the emotion information from the previous step, and the output is an adapted dialogue. The dialogue output from the server is sent to the terminal, and the conversation with the user continues.

[0187] Step 5:

[0188] Once the conversation ends, the server aggregates the user's statements and emotional data and analyzes them using an evaluation tool. This generates feedback based on skill achievement and emotional changes. Dialogue data and emotional data are used as input, and the output is feedback summarizing specific areas for improvement and achievement. This feedback is sent to the terminal and displayed to the user.

[0189] Step 6:

[0190] The server continuously tracks the user's skill progress and visualizes it as graphs and charts using visualization tools. The tracked progress data is used as input, and visualized information is generated as output. This visual information is displayed on the terminal, allowing the user to visually confirm their own skill improvement.

[0191] (Application Example 2)

[0192] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0193] Conventional systems for improving interpersonal communication skills have faced challenges in appropriately recognizing users' emotions and dynamically adjusting dialogue content, thus failing to provide a realistic dialogue environment. Furthermore, there is a lack of sufficient technology to visually track skill progress and implement concrete improvements through feedback.

[0194] 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.

[0195] In this invention, the server includes information processing means for receiving, registering, and authenticating user information; generation processing means for generating conversation content and creating dialogue scenes in a virtual environment; and dialogue processing means for providing an interface for executing dialogue between the user and an AI character and processing responses in real time. This makes it possible to adjust the dialogue content in real time based on emotion data and provide the user with a more realistic dialogue environment.

[0196] "Information processing means" refers to a device or program that has processing functions for receiving, registering, and authenticating user information.

[0197] "Generation processing means" refers to a device or program that has the function of generating conversation content and creating a dialogue scene in a virtual environment.

[0198] "Dialogue processing means" refers to a device or program equipped with the function of conducting a dialogue between a user and an AI character and processing the response in real time.

[0199] "Emotion analysis means" refers to a device or program that recognizes a user's emotions using speech features and eye-tracking analysis, and adjusts the content of the conversation based on the emotion data.

[0200] "Analysis processing means" refers to a device or program that has the function of analyzing user dialogue data and generating skill evaluations and feedback.

[0201] "Progress display means" refers to a device or program that provides a method for tracking a user's skill progress and displaying it using visual elements.

[0202] This invention is implemented as a virtual training system to improve users' interpersonal communication skills.

[0203] This system consists of a server, terminals, and users. The server plays a central role in performing information processing, generation processing, interaction processing, sentiment analysis, analysis processing, and progress display. Terminals are devices that provide an interface for users to interact with the system, and include VR headsets and mobile devices.

[0204] The server first receives user information and performs registration and authentication. A secure database is used in this process to ensure the safe management of user information. A generated AI model automatically generates conversation scenarios based on the user's choices. Subsequently, the dialogue process is executed, and the user interacts with the AI ​​character in real time within a virtual environment.

[0205] Voice and eye-tracking data transmitted through the terminal's interface are processed by emotion analysis tools on the server, enabling real-time emotion recognition. Based on these analysis results, the generative AI model dynamically adjusts its responses to provide a more realistic conversational experience.

[0206] For example, if a user selects a customer service scenario in a virtual store, the server reads the emotions of the AI ​​character playing the role of the customer and suggests appropriate customer service methods. If the emotion analysis detects that the user's voice is slightly tense, the AI ​​character can offer follow-up suggestions in a gentler tone. This feedback is used to evaluate skills based on the data collected by the server, and progress is visualized in real time.

[0207] As an example of a prompt, consider an instruction given to a generative AI model in the form of, "Generate a prompt that instructs the AI ​​how to describe the features of a product when a customer asks about it."

[0208] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0209] Step 1:

[0210] The server receives user information from the terminal, registers it in the database, and performs authentication. The input information includes user identification and configuration data. This is processed through a secure process and stored in the database. The output provides the user's authentication status and initial settings.

[0211] Step 2:

[0212] The user selects a scenario to be conducted in a virtual environment via their terminal. Information about the selected scenario is sent to the server, and the generating AI model creates the conversation content based on this information. The input is the user's scenario selection, and the output is the generated adaptive conversation scenario provided to the terminal.

[0213] Step 3:

[0214] The server processes voice and eye-tracking data transmitted from the terminal using emotion analysis tools. It receives user voice data and still image data as input and uses machine learning techniques to identify emotions. The output is the identified emotion data.

[0215] Step 4:

[0216] The generative AI model utilizes emotion analysis results to dynamically adjust the dialogue content. The server instructs the AI ​​model with prompts based on the analyzed emotion data, generating new dialogue responses. The input is emotion data, and the adjusted dialogue content is displayed on the terminal as output.

[0217] Step 5:

[0218] The user interacts with an AI character on their device. The device presents the generated conversation to the user and sends the user's statements and responses to the server in real time. The AI ​​character's response is provided as output, allowing the conversation to continue.

[0219] Step 6:

[0220] The server collects records of conversations and uses an analysis process to generate skill evaluations and feedback. Input data consists of user utterances and sentiment data, which are analyzed to identify specific areas for improvement. Detailed feedback is then provided to the terminal as output.

[0221] Step 7:

[0222] The server uses a progress display mechanism to show the user's skill progress in a graphical format on the terminal. The input consists of analysis results and progress data, and by visualizing this, it provides output that allows the user to confirm their own growth.

[0223] 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.

[0224] 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.

[0225] 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.

[0226] [Second Embodiment]

[0227] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0228] 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.

[0229] 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).

[0230] 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.

[0231] 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.

[0232] 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).

[0233] 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.

[0234] 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.

[0235] 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.

[0236] 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.

[0237] 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.

[0238] 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".

[0239] This invention is a system that improves users' interpersonal communication skills and mainly consists of a server, a terminal, and a user. The coordinated operation of each component allows users to train with confidence.

[0240] The system first requires the user to input information via a terminal to register an account. The terminal then sends this information to a server, which authenticates the user based on the received information. Once authentication is complete, the user can use the system.

[0241] Next, the user selects a communication scenario they want to practice on their device. For example, they can choose a scenario where they express their opinion in a workplace meeting. The device sends the selection information to the server, which uses AI to generate a conversation tailored to the user. This generated scenario is then sent to the device and presented to the user.

[0242] At the start of the interaction, the terminal provides a user-friendly interface, which the user uses to interact with the AI. This real-time interaction proceeds with the user's statements being sent from the terminal to the server-side AI, which then generates an appropriate response and sends it back to the terminal.

[0243] Once the conversation ends, the server analyzes the user's conversation data and generates feedback based on the conversation. This feedback includes an easy-to-understand evaluation and suggestions for improvement, which are provided to the user via the terminal.

[0244] Furthermore, the system uses a progress display function to track and graphically display the skills and areas for improvement that the user has acquired so far. This display allows users to visually grasp their own growth and boost their motivation.

[0245] For example, if a user selects a workplace presentation practice scenario, the device will present a sequence of steps from the beginning to the end of the presentation. The user will interact with the AI ​​following this sequence, practicing their presentation skills. Furthermore, if the user lacks confidence during the interaction, the AI ​​will immediately provide support, such as pointing out areas for improvement.

[0246] Thus, the present invention is a system that improves users' interpersonal skills in various scenarios and provides practical feedback, enabling them to approach even spontaneous communication with confidence.

[0247] The following describes the processing flow.

[0248] Step 1:

[0249] The user accesses the account registration page on their device and enters the required registration information (username, email address, password, etc.). The device receives this information and sends it to the server.

[0250] Step 2:

[0251] The server verifies the user information it receives and stores it in the database. Once registration is complete, the server sends an authentication completion message to the terminal, creating an environment where the user can log in to the system.

[0252] Step 3:

[0253] After logging in, users select a scenario in which they want to practice communication on their device. For example, they can choose from "Workplace Meeting," "Presentation," or "Job Interview."

[0254] Step 4:

[0255] The terminal sends the selected scenario information to the server. The server receives this information, uses AI to generate dialogue content corresponding to the selected scenario, and sends it back to the terminal.

[0256] Step 5:

[0257] The terminal presents the user with the scenario content sent from the server. The user then begins interacting with the AI ​​through the interface on the terminal.

[0258] Step 6:

[0259] As the user engages in dialogue, the device sends input from the user to the server in real time through voice recognition and text input. The server's AI analyzes this input, generates an appropriate response, and returns it to the device.

[0260] Step 7:

[0261] Once the interaction ends, the server analyzes the user's statements and dialogue logs to generate feedback data. The analysis results include skill evaluations and areas for improvement.

[0262] Step 8:

[0263] The device displays feedback sent from the server to the user. This feedback includes areas where the user can improve in the next interaction, as well as points of success.

[0264] Step 9:

[0265] Finally, the server records the user's session history in a database to track progress. The terminal then displays graphs and charts based on the recorded data to visually show the user's skill improvement, allowing users to track their progress.

[0266] (Example 1)

[0267] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0268] Providing effective systems for improving interpersonal communication skills is crucial in many fields. However, traditional methods often lacked practical feedback or made it difficult to visually track progress. As a result, users found it difficult to perceive their own improvement and learn effectively.

[0269] 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.

[0270] In this invention, the server includes information processing means for receiving, registering, and authenticating user information; generation processing means for generating conversation content and creating dialogue scenarios; and dialogue processing means for providing an ergonomic interface for interacting with the user and processing responses in real time. This enables users to effectively acquire skills and learn while experiencing their progress.

[0271] "User information" refers to personal data provided by the user, such as name, contact information, and identification data for authentication.

[0272] "Information processing means" refers to the technical processes for receiving, processing, registering, and authenticating data provided by users.

[0273] "Generation processing means" refers to technology that enables a system to automatically create conversation content that meets the user's needs and to set up a dialogue scenario.

[0274] An "ergonomic interface" refers to a user interface designed for ease of use, which is used when a user interacts with a system.

[0275] "Dialogue processing means" refers to technology for generating and transmitting responses in real time based on user input.

[0276] "Analysis processing means" refers to a method for analyzing user dialogue data and generating skill evaluations and improvement suggestions.

[0277] "Visual representation" refers to methods of displaying user progress and skill improvement using graphs, charts, and other visual aids.

[0278] This invention includes a system for effectively improving interpersonal communication skills for users. The system mainly consists of a server, terminals, and users.

[0279] The server functions as an information processing device and receives user information transmitted from the user through the terminal. The server stores these data in a database and performs user registration and authentication. Database systems and user authentication APIs are used for authentication.

[0280] The user operates this system via the terminal. The terminal has a user-friendly ergonomic interface, and the user selects the communication scenario they want to practice from it. This interface is realized using a touch screen, voice input device, etc.

[0281] The selection information is sent from the terminal to the server, and the server uses a generation AI model to generate a conversation scenario suitable for the user. In this process, for example, generation AI technologies (e.g., natural language generation engines) as AI models are included in text generation. The dialogue between the user and the AI model is carried out in real time. The server receives the user's speech, and the AI generates an appropriate response and sends it to the terminal.

[0282] Furthermore, the server uses analysis processing means to analyze the dialogue data with the user. Utilizing natural language processing technology, it provides skill evaluation and feedback. The evaluation is presented as specific numerical values or character strings, and the feedback includes points for improvement and success cases.

[0283] The system uses progress display means to visually represent the improvement of the user's skills. For this, libraries or visualization software for displaying graphs and charts are used.

[0284] As a specific example, if the user wants to simulate the scenario of proposing a new plan to their boss at work. In this case, the server uses a generation AI model to generate conversation content suitable for that scenario and distributes it to the terminal. Then the user can interact with the terminal based on this content and receive practical feedback.

[0285] Examples of prompt texts include content such as "Please simulate a scenario where you propose a new plan to your boss at work. Show the key points to be spoken and teach me how to convey them with confidence." Based on this prompt, the AI generates an appropriate dialogue scenario.

[0286] The flow of the specific process in Example 1 will be described using FIG. 11.

[0287] Step 1:

[0288] The server receives user information and performs registration and authentication. Personal data (such as name, email address, etc.) entered by the user via the terminal is sent from the terminal to the server. The server stores this information in the database and performs authentication by comparing the stored data with the input data. Through this process, the user can access the system.

[0289] Step 2:

[0290] The user uses the terminal to select a communication scenario to practice. The user interface on the terminal provides multiple scenarios such as a presentation at work. Based on the user selection, the terminal sends the selected scenario information to the server. The transmitted data is in JSON format.

[0291] Step 3:

[0292] The server uses the generated AI model based on the received scenario information to generate conversation content. First, a prompt text (e.g., "Please simulate a scenario where you propose a new plan to your boss at work.") is input into the AI model. The AI model generates dialogue content suitable for the context based on this prompt and sends the generated dialogue scenario to the terminal.

[0293] Step 4:

[0294] The terminal displays a generated conversation scenario and provides an interface to the user. The user initiates interaction with the AI ​​through the terminal. The terminal converts the user's voice input into text and sends this text data to the server. The server uses a generative AI model to generate an appropriate response to the user's input and sends it back to the terminal.

[0295] Step 5:

[0296] After the conversation ends, the server analyzes the user's conversation data. Utilizing speech recognition technology and natural language processing algorithms, the server evaluates the user's statements and generates data to assess their skill level. The generated evaluation and feedback information is sent to the terminal and displayed to the user.

[0297] Step 6:

[0298] The server tracks the user's skill acquisition progress using progress display mechanisms. This involves using graphical tools to visualize the user's behavior history and areas for improvement. The visualized progress information is presented to the user via their terminal to assist with self-assessment.

[0299] Through this series of processes, users can improve their interpersonal communication skills.

[0300] (Application Example 1)

[0301] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0302] While many systems exist to improve interpersonal communication skills, there is a lack of effective training systems, particularly for improving customer service skills in physical stores. In this context, there is a need to provide a system that allows users to safely conduct customer service training with virtual customers.

[0303] The specific processing by the specific processing unit 290 of the data processing apparatus 12 in Application Example 1 is realized by the following means respectively.

[0304] In this invention, the server includes: information processing means for receiving user information, registering and authenticating it; generation processing means for generating conversation content and creating a dialogue scene; and training support means for providing a dialogue scenario with a virtual customer for the purpose of improving actual customer service skills. As a result, users can practically improve their skills suitable for realistic customer service scenarios and further improve through feedback.

[0305] The "information processing means for receiving user information, registering and authenticating it" refers to the process of collecting personal data provided by the user and identifying and approving the user based on this data to ensure secure access.

[0306] The "generation processing means for generating conversation content and creating a dialogue scene" refers to a method for automatically constructing and providing an appropriate and consistent conversation scenario according to the user's selection and situation.

[0307] [[ID=,16]]The "dialogue processing means for providing an interface for executing a dialogue with the user and processing responses in real time" refers to a technology that provides a user interface for the user to communicate naturally with the machine and enables speech recognition and immediate response during the process.

[0308] The "analysis processing means for analyzing the user's dialogue data, generating skill evaluation and feedback" refers to a processing technology that analyzes the data collected during the dialogue, evaluates the user's interpersonal skills, and creates and provides feedback based on it.

[0309] The "progress display means for tracking and visualizing the user's skill progress" refers to a method for continuously observing the process of the user's skill improvement and presenting the results and progress to the user in a visual form.

[0310] "Training support means that provides dialogue scenarios with virtual customers with the aim of improving real-world customer service skills" refers to support technology that provides users with the experience of interacting with virtual customers by simulating actual customer service situations, in order to hone the skills necessary for customer service.

[0311] This invention is a training system aimed at improving customer service skills in physical stores. The system mainly consists of three elements: a server, a terminal, and a user. Each of these elements works in conjunction to enable effective training for the user.

[0312] The server receives user information and performs registration and authentication. This is a necessary process to ensure system security and provide a personalized experience for each user. The terminal utilizes a generative AI model to generate conversation scenarios based on the user's choices. These generated scenarios create dialogue scenes with virtual customers simulating customer service situations, allowing users to participate in training with a sense of realism.

[0313] Users use their devices to engage in real-time conversations with virtual customers. Spoken words during the conversation are instantly transcribed using speech recognition technology, and AI analyzes the text to generate appropriate responses. Once the conversation ends, the server analyzes the user's conversation data to generate a skill assessment and feedback. This allows users to gain a concrete understanding of their strengths and areas for improvement.

[0314] Furthermore, the server tracks the user's skill progress and visualizes the results. This allows users to intuitively understand their own growth and increase their motivation. Smartphones and smart glasses are used as terminals, and when smart glasses are used in particular, the interaction with virtual customers can be experienced in a more realistic way.

[0315] As a concrete example, if a user selects a scenario involving product guidance, the device will present a series of steps explaining product information and train by responding to questions from a virtual customer. By inputting prompts such as "Generating AI model, generate effective phrases for customer guidance," the AI ​​will be presented with more specific and practical phrases, allowing the user to practice responding immediately.

[0316] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0317] Step 1:

[0318] The server receives user information from the user and performs registration and authentication. In this process, personal data entered by the user via the terminal is stored in a database, and the authentication algorithm checks whether the data is legitimate. The input is authentication information such as ID and password, and the output is the success or failure of authentication.

[0319] Step 2:

[0320] Once authentication is complete, the terminal displays a list of available customer service scenarios to the user. The user then selects the scenario they wish to train on. The input is the scenario selected by the user, and the output is information about the selected scenario.

[0321] Step 3:

[0322] The server generates conversation scenarios using a generative AI model based on scenario information sent from the terminal. During this process, data processing is performed to design appropriate phrases and conversation flow based on the selected scenario. The input is information about the selected scenario, and the output is the generated conversation scenario.

[0323] Step 4:

[0324] The terminal presents the user with a generated conversation scenario and initiates a real-time dialogue with a virtual customer. Speech recognition technology is used to convert the user's utterances into text data, which is then sent to the server. The input is the user's spoken utterances, and the output is the transcribed utterance data.

[0325] Step 5:

[0326] The server analyzes the received text data and generates an appropriate response using a generative AI model. In this step, phrase generation and contextual understanding are performed using prompt sentences. The input is the user's text statement, and the output is the response text generated by the AI.

[0327] Step 6:

[0328] The terminal relays the response received from the server to the user and continues the conversation. In this process, the response is provided to the user in voice using speech synthesis technology. The input is the response text generated by the AI, and the output is the response as synthesized speech.

[0329] Step 7:

[0330] Once the conversation ends, the server analyzes all conversation data and generates a user skill assessment and feedback. This step involves data calculations, such as comparisons with past conversation data. The input is the text data collected during the conversation, and the output is feedback including assessments and improvement suggestions.

[0331] Step 8:

[0332] After feedback is generated, the server uses a progress tracking function to visualize the user's skill improvement and sends it to the terminal. This allows the user to track their progress through graphical information. The input is the skill evaluation result, and the output is visualized progress information.

[0333] 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.

[0334] This invention is a system for improving users' interpersonal communication skills, and in addition to functions for registering user information, generating conversation scenarios, conducting dialogues, skill evaluation, and providing feedback, it is equipped with an emotion engine that recognizes the user's emotions. The main components of this system are a server, a terminal, and the user, and they work together to provide an effective training environment.

[0335] In the initial stages of the system, users register an account via their terminal and send the necessary information to the server. The server processes the information and stores it in a database, thereby building the foundation for users to utilize the system.

[0336] Next, the user selects a specific communication scenario on a device selection screen. For example, they can choose a scenario such as a workplace presentation or an interview. The selected information is sent to the server, where the AI ​​generates a corresponding conversation and sends it back to the device.

[0337] During the dialogue process, the user interacts with the AI ​​in real time through the device's interface. The system utilizes an emotion engine to recognize emotions from the user's voice and text data. The recognized emotions are processed on a server and used to adjust responses to the user and the content of the dialogue.

[0338] When an interaction takes place, the server analyzes the user's statements along with emotional data and generates feedback. This feedback includes specific areas for improvement based on skill achievement and emotional changes, and is provided to the user via the device.

[0339] As a concrete example, consider a scenario where the user sets up an interview situation. If the emotion engine detects that the user is feeling anxious, the server will generate a response in a gentle, conversational tone. If the user shows positive emotions, the server can present more challenging questions and provide a more engaging dialogue.

[0340] Furthermore, the system has the functionality to track user progress and display it on the device as graphs and charts. This allows users to intuitively understand their skill improvement and use that information to further enhance their abilities.

[0341] Thus, the present invention provides an environment in which users can express their emotions with peace of mind and further promotes the improvement of communication skills.

[0342] The following describes the processing flow.

[0343] Step 1:

[0344] The user logs into the device, registers personal information, and creates an account. The device sends this information to the server, which stores it in a database.

[0345] Step 2:

[0346] The user selects a conversation scenario they want to practice on their device. This selection is sent from the device to the server, which uses AI to generate the conversation.

[0347] Step 3:

[0348] The generated conversation content is sent to the terminal and presented to the user. The terminal provides a dialogue interface, and the user begins interacting with the AI.

[0349] Step 4:

[0350] When a user interacts with the AI ​​via their device, the emotion engine analyzes the voice and text and sends the user's emotional state to the server in real time.

[0351] Step 5:

[0352] Based on the received emotional information and dialogue content, the server's AI generates a response that corresponds to the user's emotions and sends it back to the terminal.

[0353] Step 6:

[0354] Once the conversation ends, the server analyzes the emotional data and conversation history to generate a skill evaluation and feedback. The feedback will take into account the user's emotional state.

[0355] Step 7:

[0356] The device displays the generated feedback to the user. Information including areas for improvement and successes is provided, which can be used to inform future interactions.

[0357] Step 8:

[0358] The server tracks the user's progress using conversation and emotional data, and sends visualized progress reports to the device. Users can then view these reports to track their skill improvement.

[0359] (Example 2)

[0360] 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".

[0361] In modern society, there is a demand for users to effectively improve their interpersonal communication skills. However, general communication training systems often fail to adequately consider the user's emotional state in their responses, or to provide real-time skill evaluation and improvement feedback. Therefore, there is a need for a system that appropriately recognizes the user's emotions and provides conversational responses and feedback accordingly.

[0362] 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.

[0363] In this invention, the server includes data processing means for receiving user information and performing authentication, generation means for generating conversation content and creating dialogue scenes using a generation AI model, and evaluation means for recognizing and analyzing emotions from the user's dialogue data using an emotion engine and generating feedback. This enables flexible conversational responses that respond to the user's emotions, as well as real-time skill evaluation and improvement suggestions.

[0364] "Data processing means" refers to a system or function used to authenticate and record information received from a user.

[0365] "Generative means" refers to a technology or method for generating conversation content using a generative AI model and constructing a specific dialogue scenario.

[0366] A "communication interface means" is a technology or system that enables real-time interaction with users and provides responses.

[0367] An "emotion engine" is software or technology that recognizes emotions from a user's voice or text, and uses that information to analyze and adjust responses.

[0368] "Evaluation methods" refer to methods and technologies for analyzing user dialogue data and generating skill evaluations and feedback.

[0369] A "visualization means" is a technology or system for visually representing and presenting a user's skill progress to the user.

[0370] A "generative AI model" is an artificial intelligence model that automatically generates conversation content based on user selections and inputs.

[0371] This invention is a system for improving users' interpersonal communication skills. The system includes three main components: a server, a terminal, and a user, which work together to function. The following details the embodiments for carrying out this invention.

[0372] The server receives user information and uses data processing tools to process it. These tools authenticate and record the information and store it in a database. Using a generative AI model, the server generates conversation content based on user choices. The generation process is executed by the AI ​​model according to prompts. An example of such a prompt is, "Generate a scenario for giving an effective presentation at work."

[0373] The terminal acts as the interface with the user, enabling real-time interaction. It uses speech recognition technology to convert the user's voice input into text and sends it to the server. The server uses an emotion engine to recognize emotions from the user's voice and text data and adjusts the conversation based on that information.

[0374] After the interaction, the server analyzes the user's dialogue data using evaluation tools and generates a skill assessment and feedback. The feedback includes specific suggestions for improvement and is provided to the user via the terminal. For example, if the user shows signs of nervousness, advice such as "Try breathing exercises to relieve tension" might be offered.

[0375] Furthermore, the server tracks the user's skill progress and displays the progress data on the terminal as graphs and charts using visualization tools. This allows users to visually confirm their own growth and plan for further improvement.

[0376] The entire system aims to provide users with a safe environment to express their emotions and to help them continuously improve their communication skills.

[0377] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0378] Step 1:

[0379] Users register an account by entering necessary personal information from their device. This information includes their name, email address, and the skills they wish to improve. This information is taken into the device as input and sent to the server. The server verifies the received information using data processing tools and stores it in a database. As output, the user's account is authenticated and ready to use the system.

[0380] Step 2:

[0381] The user selects a desired scenario from a list of communication scenarios provided on the terminal interface. The scenario selection is taken as input from the terminal and sent to the server. Based on the selected information, the server generates an appropriate prompt for the AI ​​model. For example, a prompt such as "Generate a dialogue to improve presentation skills" might be generated. The generated prompt is sent to the AI ​​model as input, and the conversation content is generated as output.

[0382] Step 3:

[0383] The server sends the generated conversation content to the terminal. The user then begins interacting with the AI ​​in real time via the terminal. The user's speech is taken as input to the terminal and converted into text data using speech recognition technology. The converted text data is sent to the server, where emotion recognition is performed using an emotion engine. The emotion information is output and used to adjust the next conversation.

[0384] Step 4:

[0385] During the conversation, the user's emotions are processed on the server through analysis by an emotion engine. For example, if anxiety is detected in the user's statements, the server generates a calm response. The input for this process is the emotion information from the previous step, and the output is an adapted dialogue. The dialogue output from the server is sent to the terminal, and the conversation with the user continues.

[0386] Step 5:

[0387] Once the conversation ends, the server aggregates the user's statements and emotional data and analyzes them using an evaluation tool. This generates feedback based on skill achievement and emotional changes. Dialogue data and emotional data are used as input, and the output is feedback summarizing specific areas for improvement and achievement. This feedback is sent to the terminal and displayed to the user.

[0388] Step 6:

[0389] The server continuously tracks the user's skill progress and visualizes it as graphs and charts using visualization tools. The tracked progress data is used as input, and visualized information is generated as output. This visual information is displayed on the terminal, allowing the user to visually confirm their own skill improvement.

[0390] (Application Example 2)

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

[0392] Conventional systems for improving interpersonal communication skills have faced challenges in appropriately recognizing users' emotions and dynamically adjusting dialogue content, thus failing to provide a realistic dialogue environment. Furthermore, there is a lack of sufficient technology to visually track skill progress and implement concrete improvements through feedback.

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

[0394] In this invention, the server includes information processing means for receiving, registering, and authenticating user information; generation processing means for generating conversation content and creating dialogue scenes in a virtual environment; and dialogue processing means for providing an interface for executing dialogue between the user and an AI character and processing responses in real time. This makes it possible to adjust the dialogue content in real time based on emotion data and provide the user with a more realistic dialogue environment.

[0395] "Information processing means" refers to a device or program that has processing functions for receiving, registering, and authenticating user information.

[0396] "Generation processing means" refers to a device or program that has the function of generating conversation content and creating a dialogue scene in a virtual environment.

[0397] "Dialogue processing means" refers to a device or program equipped with the function of conducting a dialogue between a user and an AI character and processing the response in real time.

[0398] "Emotion analysis means" refers to a device or program that recognizes a user's emotions using speech features and eye-tracking analysis, and adjusts the content of the conversation based on the emotion data.

[0399] "Analysis processing means" refers to a device or program that has the function of analyzing user dialogue data and generating skill evaluations and feedback.

[0400] "Progress display means" refers to a device or program that provides a method for tracking a user's skill progress and displaying it using visual elements.

[0401] This invention is implemented as a virtual training system to improve users' interpersonal communication skills.

[0402] This system consists of a server, terminals, and users. The server plays a central role in performing information processing, generation processing, interaction processing, sentiment analysis, analysis processing, and progress display. Terminals are devices that provide an interface for users to interact with the system, and include VR headsets and mobile devices.

[0403] The server first receives user information and performs registration and authentication. A secure database is used in this process to ensure the safe management of user information. A generated AI model automatically generates conversation scenarios based on the user's choices. Subsequently, the dialogue process is executed, and the user interacts with the AI ​​character in real time within a virtual environment.

[0404] Voice and eye-tracking data transmitted through the terminal's interface are processed by emotion analysis tools on the server, enabling real-time emotion recognition. Based on these analysis results, the generative AI model dynamically adjusts its responses to provide a more realistic conversational experience.

[0405] For example, if a user selects a customer service scenario in a virtual store, the server reads the emotions of the AI ​​character playing the role of the customer and suggests appropriate customer service methods. If the emotion analysis detects that the user's voice is slightly tense, the AI ​​character can offer follow-up suggestions in a gentler tone. This feedback is used to evaluate skills based on the data collected by the server, and progress is visualized in real time.

[0406] As an example of a prompt, consider an instruction given to a generative AI model in the form of, "Generate a prompt that instructs the AI ​​how to describe the features of a product when a customer asks about it."

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

[0408] Step 1:

[0409] The server receives user information from the terminal, registers it in the database, and performs authentication. The input information includes user identification and configuration data. This is processed through a secure process and stored in the database. The output provides the user's authentication status and initial settings.

[0410] Step 2:

[0411] The user selects a scenario to be conducted in a virtual environment via their terminal. Information about the selected scenario is sent to the server, and the generating AI model creates the conversation content based on this information. The input is the user's scenario selection, and the output is the generated adaptive conversation scenario provided to the terminal.

[0412] Step 3:

[0413] The server processes voice and eye-tracking data transmitted from the terminal using emotion analysis tools. It receives user voice data and still image data as input and uses machine learning techniques to identify emotions. The output is the identified emotion data.

[0414] Step 4:

[0415] The generative AI model utilizes emotion analysis results to dynamically adjust the dialogue content. The server instructs the AI ​​model with prompts based on the analyzed emotion data, generating new dialogue responses. The input is emotion data, and the adjusted dialogue content is displayed on the terminal as output.

[0416] Step 5:

[0417] The user interacts with an AI character on their device. The device presents the generated conversation to the user and sends the user's statements and responses to the server in real time. The AI ​​character's response is provided as output, allowing the conversation to continue.

[0418] Step 6:

[0419] The server collects records of conversations and uses an analysis process to generate skill evaluations and feedback. Input data consists of user utterances and sentiment data, which are analyzed to identify specific areas for improvement. Detailed feedback is then provided to the terminal as output.

[0420] Step 7:

[0421] The server uses a progress display mechanism to show the user's skill progress in a graphical format on the terminal. The input consists of analysis results and progress data, and by visualizing this, it provides output that allows the user to confirm their own growth.

[0422] 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.

[0423] 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.

[0424] 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.

[0425] [Third Embodiment]

[0426] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0427] 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.

[0428] 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).

[0429] 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.

[0430] 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.

[0431] 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).

[0432] 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.

[0433] 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.

[0434] 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.

[0435] 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.

[0436] 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.

[0437] 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".

[0438] This invention is a system that improves users' interpersonal communication skills and mainly consists of a server, a terminal, and a user. The coordinated operation of each component allows users to train with confidence.

[0439] The system first requires the user to input information via a terminal to register an account. The terminal then sends this information to a server, which authenticates the user based on the received information. Once authentication is complete, the user can use the system.

[0440] Next, the user selects a communication scenario they want to practice on their device. For example, they can choose a scenario where they express their opinion in a workplace meeting. The device sends the selection information to the server, which uses AI to generate a conversation tailored to the user. This generated scenario is then sent to the device and presented to the user.

[0441] At the start of the interaction, the terminal provides a user-friendly interface, which the user uses to interact with the AI. This real-time interaction proceeds with the user's statements being sent from the terminal to the server-side AI, which then generates an appropriate response and sends it back to the terminal.

[0442] Once the conversation ends, the server analyzes the user's conversation data and generates feedback based on the conversation. This feedback includes an easy-to-understand evaluation and suggestions for improvement, which are provided to the user via the terminal.

[0443] Furthermore, the system uses a progress display function to track and graphically display the skills and areas for improvement that the user has acquired so far. This display allows users to visually grasp their own growth and boost their motivation.

[0444] For example, if a user selects a workplace presentation practice scenario, the device will present a sequence of steps from the beginning to the end of the presentation. The user will interact with the AI ​​following this sequence, practicing their presentation skills. Furthermore, if the user lacks confidence during the interaction, the AI ​​will immediately provide support, such as pointing out areas for improvement.

[0445] Thus, the present invention is a system that improves users' interpersonal skills in various scenarios and provides practical feedback, enabling them to approach even spontaneous communication with confidence.

[0446] The following describes the processing flow.

[0447] Step 1:

[0448] The user accesses the account registration page on their device and enters the required registration information (username, email address, password, etc.). The device receives this information and sends it to the server.

[0449] Step 2:

[0450] The server verifies the user information it receives and stores it in the database. Once registration is complete, the server sends an authentication completion message to the terminal, creating an environment where the user can log in to the system.

[0451] Step 3:

[0452] After logging in, users select a scenario in which they want to practice communication on their device. For example, they can choose from "Workplace Meeting," "Presentation," or "Job Interview."

[0453] Step 4:

[0454] The terminal sends the selected scenario information to the server. The server receives this information, uses AI to generate dialogue content corresponding to the selected scenario, and sends it back to the terminal.

[0455] Step 5:

[0456] The terminal presents the user with the scenario content sent from the server. The user then begins interacting with the AI ​​through the interface on the terminal.

[0457] Step 6:

[0458] As the user engages in dialogue, the device sends input from the user to the server in real time through voice recognition and text input. The server's AI analyzes this input, generates an appropriate response, and returns it to the device.

[0459] Step 7:

[0460] Once the interaction ends, the server analyzes the user's statements and dialogue logs to generate feedback data. The analysis results include skill evaluations and areas for improvement.

[0461] Step 8:

[0462] The device displays feedback sent from the server to the user. This feedback includes areas where the user can improve in the next interaction, as well as points of success.

[0463] Step 9:

[0464] Finally, the server records the user's session history in a database to track progress. The terminal then displays graphs and charts based on the recorded data to visually show the user's skill improvement, allowing users to track their progress.

[0465] (Example 1)

[0466] 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."

[0467] Providing effective systems for improving interpersonal communication skills is crucial in many fields. However, traditional methods often lacked practical feedback or made it difficult to visually track progress. As a result, users found it difficult to perceive their own improvement and learn effectively.

[0468] 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.

[0469] In this invention, the server includes information processing means for receiving, registering, and authenticating user information; generation processing means for generating conversation content and creating dialogue scenarios; and dialogue processing means for providing an ergonomic interface for interacting with the user and processing responses in real time. This enables users to effectively acquire skills and learn while experiencing their progress.

[0470] "User information" refers to personal data provided by the user, such as name, contact information, and identification data for authentication.

[0471] "Information processing means" refers to the technical processes for receiving, processing, registering, and authenticating data provided by users.

[0472] "Generation processing means" refers to technology that enables a system to automatically create conversation content that meets the user's needs and to set up a dialogue scenario.

[0473] An "ergonomic interface" refers to a user interface designed for ease of use, which is used when a user interacts with a system.

[0474] "Dialogue processing means" refers to technology for generating and transmitting responses in real time based on user input.

[0475] "Analysis processing means" refers to a method for analyzing user dialogue data and generating skill evaluations and improvement suggestions.

[0476] "Visual representation" refers to methods of displaying user progress and skill improvement using graphs, charts, and other visual aids.

[0477] This invention includes a system for effectively improving interpersonal communication skills for users. The system mainly consists of a server, terminals, and users.

[0478] The server functions as an information processing device, receiving user information transmitted from users via their terminals. The server stores this data in a database and performs user registration and authentication. Authentication is performed using a database system or a user authentication API.

[0479] Users operate this system via a terminal. The terminal features a user-friendly, ergonomic interface from which users select communication scenarios they wish to practice. This interface is implemented using touchscreens, voice input devices, and other means.

[0480] Selection information is sent from the terminal to the server, which uses a generative AI model to generate conversation scenarios suitable for the user. This process includes generative AI technologies (e.g., natural language generation engines) as AI models for text generation, for example. The interaction between the user and the AI ​​model takes place in real time, with the server receiving the user's statements and the AI ​​generating appropriate responses which are then sent to the terminal.

[0481] Furthermore, the server uses analytical processing tools to analyze user interaction data. It utilizes natural language processing technology to provide skill assessments and feedback. Assessments are presented using specific numerical values ​​and strings, while feedback includes areas for improvement and success stories.

[0482] The system uses progress display mechanisms to visually represent the user's skill improvement. This involves using libraries and visualization software for displaying graphs and charts.

[0483] As a concrete example, suppose a user wants to "simulate a scenario where they propose a new project to their boss at work." In this case, the server uses a generative AI model to generate conversation content appropriate to that scenario and delivers it to the device. The user can then interact with the device based on this content and receive practical feedback.

[0484] An example of a prompt might be, "Simulate a scenario where you propose a new project to your boss at work. Identify the key points you should mention and explain how to communicate them confidently." Based on this prompt, the AI ​​generates an appropriate dialogue scenario.

[0485] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0486] Step 1:

[0487] The server receives user information and performs registration and authentication. Personal data (such as name and email address) entered by the user via the terminal is sent from the terminal to the server. The server stores this information in a database and performs authentication by comparing the stored data with the entered data. This process allows the user to access the system.

[0488] Step 2:

[0489] The user uses the device to select a communication scenario they want to practice. The user interface on the device offers several scenarios, such as workplace presentations. Based on the user's selection, the device sends the selected scenario information to the server. The transmitted data is in JSON format.

[0490] Step 3:

[0491] The server generates conversation content using a generation AI model based on the received scenario information. First, a prompt (e.g., "Please simulate a scenario where you propose a new project to your boss at work.") is input to the AI ​​model. Based on this prompt, the AI ​​model generates contextually appropriate dialogue content and sends the generated dialogue scenario to the terminal.

[0492] Step 4:

[0493] The terminal displays a generated conversation scenario and provides an interface to the user. The user initiates interaction with the AI ​​through the terminal. The terminal converts the user's voice input into text and sends this text data to the server. The server uses a generative AI model to generate an appropriate response to the user's input and sends it back to the terminal.

[0494] Step 5:

[0495] After the conversation ends, the server analyzes the user's conversation data. Utilizing speech recognition technology and natural language processing algorithms, the server evaluates the user's statements and generates data to assess their skill level. The generated evaluation and feedback information is sent to the terminal and displayed to the user.

[0496] Step 6:

[0497] The server tracks the user's skill acquisition progress using progress display mechanisms. This involves using graphical tools to visualize the user's behavior history and areas for improvement. The visualized progress information is presented to the user via their terminal to assist with self-assessment.

[0498] Through this series of processes, users can improve their interpersonal communication skills.

[0499] (Application Example 1)

[0500] 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."

[0501] While many systems exist to improve interpersonal communication skills, there is a lack of effective training systems, particularly for improving customer service skills in physical stores. In this context, there is a need to provide a system that allows users to safely conduct customer service training with virtual customers.

[0502] 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.

[0503] In this invention, the server includes information processing means for receiving, registering, and authenticating user information; generation processing means for generating conversation content and creating dialogue scenes; and training support means for providing dialogue scenarios with virtual customers with the aim of improving real-world customer service skills. This enables users to practically improve their skills in a way that is relevant to real-world customer service situations and to make further improvements through feedback.

[0504] "Information processing means for receiving, registering, and authenticating user information" refers to the process of collecting personal data provided by users and using that data to identify and authorize users in order to ensure secure access.

[0505] "Generative processing means for generating conversation content and creating dialogue scenes" refers to a method for automatically constructing and providing appropriate and consistent conversation scenarios according to the user's choices and circumstances.

[0506] "Dialogue processing means that provides an interface for engaging in conversation with users and processes responses in real time" refers to technology that provides a user interface for users to communicate naturally with machines, enabling the listening of speech and immediate responses in the process.

[0507] "Analysis processing means for analyzing user dialogue data and generating skill evaluations and feedback" refers to processing technology that analyzes data collected during a dialogue to evaluate the user's interpersonal skills and creates and provides feedback based on that evaluation.

[0508] "A progress display means that provides a method for tracking and visualizing a user's skill progress" refers to a method for continuously observing the process of a user's skill improvement and showing the results and progress to the user in a visual format.

[0509] "Training support means that provides dialogue scenarios with virtual customers with the aim of improving real-world customer service skills" refers to support technology that provides users with the experience of interacting with virtual customers by simulating actual customer service situations, in order to hone the skills necessary for customer service.

[0510] This invention is a training system aimed at improving customer service skills in physical stores. The system mainly consists of three elements: a server, a terminal, and a user. Each of these elements works in conjunction to enable effective training for the user.

[0511] The server receives user information and performs registration and authentication. This is a necessary process to ensure system security and provide a personalized experience for each user. The terminal utilizes a generative AI model to generate conversation scenarios based on the user's choices. These generated scenarios create dialogue scenes with virtual customers simulating customer service situations, allowing users to participate in training with a sense of realism.

[0512] Users use their devices to engage in real-time conversations with virtual customers. Spoken words during the conversation are instantly transcribed using speech recognition technology, and AI analyzes the text to generate appropriate responses. Once the conversation ends, the server analyzes the user's conversation data to generate a skill assessment and feedback. This allows users to gain a concrete understanding of their strengths and areas for improvement.

[0513] Furthermore, the server tracks the user's skill progress and visualizes the results. This allows users to intuitively understand their own growth and increase their motivation. Smartphones and smart glasses are used as terminals, and when smart glasses are used in particular, the interaction with virtual customers can be experienced in a more realistic way.

[0514] As a concrete example, if a user selects a scenario involving product guidance, the device will present a series of steps explaining product information and train by responding to questions from a virtual customer. By inputting prompts such as "Generating AI model, generate effective phrases for customer guidance," the AI ​​will be presented with more specific and practical phrases, allowing the user to practice responding immediately.

[0515] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0516] Step 1:

[0517] The server receives user information from the user and performs registration and authentication. In this process, personal data entered by the user via the terminal is stored in a database, and the authentication algorithm checks whether the data is legitimate. The input is authentication information such as ID and password, and the output is the success or failure of authentication.

[0518] Step 2:

[0519] Once authentication is complete, the terminal displays a list of available customer service scenarios to the user. The user then selects the scenario they wish to train on. The input is the scenario selected by the user, and the output is information about the selected scenario.

[0520] Step 3:

[0521] The server generates conversation scenarios using a generative AI model based on scenario information sent from the terminal. During this process, data processing is performed to design appropriate phrases and conversation flow based on the selected scenario. The input is information about the selected scenario, and the output is the generated conversation scenario.

[0522] Step 4:

[0523] The terminal presents the user with a generated conversation scenario and initiates a real-time dialogue with a virtual customer. Speech recognition technology is used to convert the user's utterances into text data, which is then sent to the server. The input is the user's spoken utterances, and the output is the transcribed utterance data.

[0524] Step 5:

[0525] The server analyzes the received text data and generates an appropriate response using a generative AI model. In this step, phrase generation and contextual understanding are performed using prompt sentences. The input is the user's text statement, and the output is the response text generated by the AI.

[0526] Step 6:

[0527] The terminal relays the response received from the server to the user and continues the conversation. In this process, the response is provided to the user in voice using speech synthesis technology. The input is the response text generated by the AI, and the output is the response as synthesized speech.

[0528] Step 7:

[0529] Once the conversation ends, the server analyzes all conversation data and generates a user skill assessment and feedback. This step involves data calculations, such as comparisons with past conversation data. The input is the text data collected during the conversation, and the output is feedback including assessments and improvement suggestions.

[0530] Step 8:

[0531] After feedback is generated, the server uses a progress tracking function to visualize the user's skill improvement and sends it to the terminal. This allows the user to track their progress through graphical information. The input is the skill evaluation result, and the output is visualized progress information.

[0532] 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.

[0533] This invention is a system for improving users' interpersonal communication skills, and in addition to functions for registering user information, generating conversation scenarios, conducting dialogues, skill evaluation, and providing feedback, it is equipped with an emotion engine that recognizes the user's emotions. The main components of this system are a server, a terminal, and the user, and they work together to provide an effective training environment.

[0534] In the initial stages of the system, users register an account via their terminal and send the necessary information to the server. The server processes the information and stores it in a database, thereby building the foundation for users to utilize the system.

[0535] Next, the user selects a specific communication scenario on a device selection screen. For example, they can choose a scenario such as a workplace presentation or an interview. The selected information is sent to the server, where the AI ​​generates a corresponding conversation and sends it back to the device.

[0536] During the dialogue process, the user interacts with the AI ​​in real time through the device's interface. The system utilizes an emotion engine to recognize emotions from the user's voice and text data. The recognized emotions are processed on a server and used to adjust responses to the user and the content of the dialogue.

[0537] When an interaction takes place, the server analyzes the user's statements along with emotional data and generates feedback. This feedback includes specific areas for improvement based on skill achievement and emotional changes, and is provided to the user via the device.

[0538] As a concrete example, consider a scenario where the user sets up an interview situation. If the emotion engine detects that the user is feeling anxious, the server will generate a response in a gentle, conversational tone. If the user shows positive emotions, the server can present more challenging questions and provide a more engaging dialogue.

[0539] Furthermore, the system has the functionality to track user progress and display it on the device as graphs and charts. This allows users to intuitively understand their skill improvement and use that information to further enhance their abilities.

[0540] Thus, the present invention provides an environment in which users can express their emotions with peace of mind and further promotes the improvement of communication skills.

[0541] The following describes the processing flow.

[0542] Step 1:

[0543] The user logs into the device, registers personal information, and creates an account. The device sends this information to the server, which stores it in a database.

[0544] Step 2:

[0545] The user selects a conversation scenario they want to practice on their device. This selection is sent from the device to the server, which uses AI to generate the conversation.

[0546] Step 3:

[0547] The generated conversation content is sent to the terminal and presented to the user. The terminal provides a dialogue interface, and the user begins interacting with the AI.

[0548] Step 4:

[0549] When a user interacts with the AI ​​via their device, the emotion engine analyzes the voice and text and sends the user's emotional state to the server in real time.

[0550] Step 5:

[0551] Based on the received emotional information and dialogue content, the server's AI generates a response that corresponds to the user's emotions and sends it back to the terminal.

[0552] Step 6:

[0553] Once the conversation ends, the server analyzes the emotional data and conversation history to generate a skill evaluation and feedback. The feedback will take into account the user's emotional state.

[0554] Step 7:

[0555] The device displays the generated feedback to the user. Information including areas for improvement and successes is provided, which can be used to inform future interactions.

[0556] Step 8:

[0557] The server tracks the user's progress using conversation and emotional data, and sends visualized progress reports to the device. Users can then view these reports to track their skill improvement.

[0558] (Example 2)

[0559] 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."

[0560] In modern society, there is a demand for users to effectively improve their interpersonal communication skills. However, general communication training systems often fail to adequately consider the user's emotional state in their responses, or to provide real-time skill evaluation and improvement feedback. Therefore, there is a need for a system that appropriately recognizes the user's emotions and provides conversational responses and feedback accordingly.

[0561] 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.

[0562] In this invention, the server includes data processing means for receiving user information and performing authentication, generation means for generating conversation content and creating dialogue scenes using a generation AI model, and evaluation means for recognizing and analyzing emotions from the user's dialogue data using an emotion engine and generating feedback. This enables flexible conversational responses that respond to the user's emotions, as well as real-time skill evaluation and improvement suggestions.

[0563] "Data processing means" refers to a system or function used to authenticate and record information received from a user.

[0564] "Generative means" refers to a technology or method for generating conversation content using a generative AI model and constructing a specific dialogue scenario.

[0565] A "communication interface means" is a technology or system that enables real-time interaction with users and provides responses.

[0566] An "emotion engine" is software or technology that recognizes emotions from a user's voice or text, and uses that information to analyze and adjust responses.

[0567] "Evaluation methods" refer to methods and technologies for analyzing user dialogue data and generating skill evaluations and feedback.

[0568] A "visualization means" is a technology or system for visually representing and presenting a user's skill progress to the user.

[0569] A "generative AI model" is an artificial intelligence model that automatically generates conversation content based on user selections and inputs.

[0570] This invention is a system for improving users' interpersonal communication skills. The system includes three main components: a server, a terminal, and a user, which work together to function. The following details the embodiments for carrying out this invention.

[0571] The server receives user information and uses data processing tools to process it. These tools authenticate and record the information and store it in a database. Using a generative AI model, the server generates conversation content based on user choices. The generation process is executed by the AI ​​model according to prompts. An example of such a prompt is, "Generate a scenario for giving an effective presentation at work."

[0572] The terminal acts as the interface with the user, enabling real-time interaction. It uses speech recognition technology to convert the user's voice input into text and sends it to the server. The server uses an emotion engine to recognize emotions from the user's voice and text data and adjusts the conversation based on that information.

[0573] After the interaction, the server analyzes the user's dialogue data using evaluation tools and generates a skill assessment and feedback. The feedback includes specific suggestions for improvement and is provided to the user via the terminal. For example, if the user shows signs of nervousness, advice such as "Try breathing exercises to relieve tension" might be offered.

[0574] Furthermore, the server tracks the user's skill progress and displays the progress data on the terminal as graphs and charts using visualization tools. This allows users to visually confirm their own growth and plan for further improvement.

[0575] The entire system aims to provide users with a safe environment to express their emotions and to help them continuously improve their communication skills.

[0576] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0577] Step 1:

[0578] Users register an account by entering necessary personal information from their device. This information includes their name, email address, and the skills they wish to improve. This information is taken into the device as input and sent to the server. The server verifies the received information using data processing tools and stores it in a database. As output, the user's account is authenticated and ready to use the system.

[0579] Step 2:

[0580] The user selects a desired scenario from a list of communication scenarios provided on the terminal interface. The scenario selection is taken as input from the terminal and sent to the server. Based on the selected information, the server generates an appropriate prompt for the AI ​​model. For example, a prompt such as "Generate a dialogue to improve presentation skills" might be generated. The generated prompt is sent to the AI ​​model as input, and the conversation content is generated as output.

[0581] Step 3:

[0582] The server sends the generated conversation content to the terminal. The user then begins interacting with the AI ​​in real time via the terminal. The user's speech is taken as input to the terminal and converted into text data using speech recognition technology. The converted text data is sent to the server, where emotion recognition is performed using an emotion engine. The emotion information is output and used to adjust the next conversation.

[0583] Step 4:

[0584] During the conversation, the user's emotions are processed on the server through analysis by an emotion engine. For example, if anxiety is detected in the user's statements, the server generates a calm response. The input for this process is the emotion information from the previous step, and the output is an adapted dialogue. The dialogue output from the server is sent to the terminal, and the conversation with the user continues.

[0585] Step 5:

[0586] Once the conversation ends, the server aggregates the user's statements and emotional data and analyzes them using an evaluation tool. This generates feedback based on skill achievement and emotional changes. Dialogue data and emotional data are used as input, and the output is feedback summarizing specific areas for improvement and achievement. This feedback is sent to the terminal and displayed to the user.

[0587] Step 6:

[0588] The server continuously tracks the user's skill progress and visualizes it as graphs and charts using visualization tools. The tracked progress data is used as input, and visualized information is generated as output. This visual information is displayed on the terminal, allowing the user to visually confirm their own skill improvement.

[0589] (Application Example 2)

[0590] 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."

[0591] Conventional systems for improving interpersonal communication skills have faced challenges in appropriately recognizing users' emotions and dynamically adjusting dialogue content, thus failing to provide a realistic dialogue environment. Furthermore, there is a lack of sufficient technology to visually track skill progress and implement concrete improvements through feedback.

[0592] 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.

[0593] In this invention, the server includes information processing means for receiving, registering, and authenticating user information; generation processing means for generating conversation content and creating dialogue scenes in a virtual environment; and dialogue processing means for providing an interface for executing dialogue between the user and an AI character and processing responses in real time. This makes it possible to adjust the dialogue content in real time based on emotion data and provide the user with a more realistic dialogue environment.

[0594] "Information processing means" refers to a device or program that has processing functions for receiving, registering, and authenticating user information.

[0595] "Generation processing means" refers to a device or program that has the function of generating conversation content and creating a dialogue scene in a virtual environment.

[0596] "Dialogue processing means" refers to a device or program equipped with the function of conducting a dialogue between a user and an AI character and processing the response in real time.

[0597] "Emotion analysis means" refers to a device or program that recognizes a user's emotions using speech features and eye-tracking analysis, and adjusts the content of the conversation based on the emotion data.

[0598] "Analysis processing means" refers to a device or program that has the function of analyzing user dialogue data and generating skill evaluations and feedback.

[0599] "Progress display means" refers to a device or program that provides a method for tracking a user's skill progress and displaying it using visual elements.

[0600] This invention is implemented as a virtual training system to improve users' interpersonal communication skills.

[0601] This system consists of a server, terminals, and users. The server plays a central role in performing information processing, generation processing, interaction processing, sentiment analysis, analysis processing, and progress display. Terminals are devices that provide an interface for users to interact with the system, and include VR headsets and mobile devices.

[0602] The server first receives user information and performs registration and authentication. A secure database is used in this process to ensure the safe management of user information. A generated AI model automatically generates conversation scenarios based on the user's choices. Subsequently, the dialogue process is executed, and the user interacts with the AI ​​character in real time within a virtual environment.

[0603] Voice and eye-tracking data transmitted through the terminal's interface are processed by emotion analysis tools on the server, enabling real-time emotion recognition. Based on these analysis results, the generative AI model dynamically adjusts its responses to provide a more realistic conversational experience.

[0604] For example, if a user selects a customer service scenario in a virtual store, the server reads the emotions of the AI ​​character playing the role of the customer and suggests appropriate customer service methods. If the emotion analysis detects that the user's voice is slightly tense, the AI ​​character can offer follow-up suggestions in a gentler tone. This feedback is used to evaluate skills based on the data collected by the server, and progress is visualized in real time.

[0605] As an example of a prompt, consider an instruction given to a generative AI model in the form of, "Generate a prompt that instructs the AI ​​how to describe the features of a product when a customer asks about it."

[0606] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0607] Step 1:

[0608] The server receives user information from the terminal, registers it in the database, and performs authentication. The input information includes user identification and configuration data. This is processed through a secure process and stored in the database. The output provides the user's authentication status and initial settings.

[0609] Step 2:

[0610] The user selects a scenario to be conducted in a virtual environment via their terminal. Information about the selected scenario is sent to the server, and the generating AI model creates the conversation content based on this information. The input is the user's scenario selection, and the output is the generated adaptive conversation scenario provided to the terminal.

[0611] Step 3:

[0612] The server processes voice and eye-tracking data transmitted from the terminal using emotion analysis tools. It receives user voice data and still image data as input and uses machine learning techniques to identify emotions. The output is the identified emotion data.

[0613] Step 4:

[0614] The generative AI model utilizes emotion analysis results to dynamically adjust the dialogue content. The server instructs the AI ​​model with prompts based on the analyzed emotion data, generating new dialogue responses. The input is emotion data, and the adjusted dialogue content is displayed on the terminal as output.

[0615] Step 5:

[0616] The user interacts with an AI character on their device. The device presents the generated conversation to the user and sends the user's statements and responses to the server in real time. The AI ​​character's response is provided as output, allowing the conversation to continue.

[0617] Step 6:

[0618] The server collects records of conversations and uses an analysis process to generate skill evaluations and feedback. Input data consists of user utterances and sentiment data, which are analyzed to identify specific areas for improvement. Detailed feedback is then provided to the terminal as output.

[0619] Step 7:

[0620] The server uses a progress display mechanism to show the user's skill progress in a graphical format on the terminal. The input consists of analysis results and progress data, and by visualizing this, it provides output that allows the user to confirm their own growth.

[0621] 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.

[0622] 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.

[0623] 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.

[0624] [Fourth Embodiment]

[0625] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0626] 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.

[0627] 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).

[0628] 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.

[0629] 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.

[0630] 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).

[0631] 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.

[0632] 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.

[0633] 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.

[0634] 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.

[0635] 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.

[0636] 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.

[0637] 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".

[0638] This invention is a system that improves users' interpersonal communication skills and mainly consists of a server, a terminal, and a user. The coordinated operation of each component allows users to train with confidence.

[0639] The system first requires the user to input information via a terminal to register an account. The terminal then sends this information to a server, which authenticates the user based on the received information. Once authentication is complete, the user can use the system.

[0640] Next, the user selects a communication scenario they want to practice on their device. For example, they can choose a scenario where they express their opinion in a workplace meeting. The device sends the selection information to the server, which uses AI to generate a conversation tailored to the user. This generated scenario is then sent to the device and presented to the user.

[0641] At the start of the interaction, the terminal provides a user-friendly interface, which the user uses to interact with the AI. This real-time interaction proceeds with the user's statements being sent from the terminal to the server-side AI, which then generates an appropriate response and sends it back to the terminal.

[0642] Once the conversation ends, the server analyzes the user's conversation data and generates feedback based on the conversation. This feedback includes an easy-to-understand evaluation and suggestions for improvement, which are provided to the user via the terminal.

[0643] Furthermore, the system uses a progress display function to track and graphically display the skills and areas for improvement that the user has acquired so far. This display allows users to visually grasp their own growth and boost their motivation.

[0644] For example, if a user selects a workplace presentation practice scenario, the device will present a sequence of steps from the beginning to the end of the presentation. The user will interact with the AI ​​following this sequence, practicing their presentation skills. Furthermore, if the user lacks confidence during the interaction, the AI ​​will immediately provide support, such as pointing out areas for improvement.

[0645] Thus, the present invention is a system that improves users' interpersonal skills in various scenarios and provides practical feedback, enabling them to approach even spontaneous communication with confidence.

[0646] The following describes the processing flow.

[0647] Step 1:

[0648] The user accesses the account registration page on their device and enters the required registration information (username, email address, password, etc.). The device receives this information and sends it to the server.

[0649] Step 2:

[0650] The server verifies the user information it receives and stores it in the database. Once registration is complete, the server sends an authentication completion message to the terminal, creating an environment where the user can log in to the system.

[0651] Step 3:

[0652] After logging in, users select a scenario in which they want to practice communication on their device. For example, they can choose from "Workplace Meeting," "Presentation," or "Job Interview."

[0653] Step 4:

[0654] The terminal sends the selected scenario information to the server. The server receives this information, uses AI to generate dialogue content corresponding to the selected scenario, and sends it back to the terminal.

[0655] Step 5:

[0656] The terminal presents the user with the scenario content sent from the server. The user then begins interacting with the AI ​​through the interface on the terminal.

[0657] Step 6:

[0658] As the user engages in dialogue, the device sends input from the user to the server in real time through voice recognition and text input. The server's AI analyzes this input, generates an appropriate response, and returns it to the device.

[0659] Step 7:

[0660] Once the interaction ends, the server analyzes the user's statements and dialogue logs to generate feedback data. The analysis results include skill evaluations and areas for improvement.

[0661] Step 8:

[0662] The device displays feedback sent from the server to the user. This feedback includes areas where the user can improve in the next interaction, as well as points of success.

[0663] Step 9:

[0664] Finally, the server records the user's session history in a database to track progress. The terminal then displays graphs and charts based on the recorded data to visually show the user's skill improvement, allowing users to track their progress.

[0665] (Example 1)

[0666] 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".

[0667] Providing effective systems for improving interpersonal communication skills is crucial in many fields. However, traditional methods often lacked practical feedback or made it difficult to visually track progress. As a result, users found it difficult to perceive their own improvement and learn effectively.

[0668] 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.

[0669] In this invention, the server includes information processing means for receiving, registering, and authenticating user information; generation processing means for generating conversation content and creating dialogue scenarios; and dialogue processing means for providing an ergonomic interface for interacting with the user and processing responses in real time. This enables users to effectively acquire skills and learn while experiencing their progress.

[0670] "User information" refers to personal data provided by the user, such as name, contact information, and identification data for authentication.

[0671] "Information processing means" refers to the technical processes for receiving, processing, registering, and authenticating data provided by users.

[0672] "Generation processing means" refers to technology that enables a system to automatically create conversation content that meets the user's needs and to set up a dialogue scenario.

[0673] An "ergonomic interface" refers to a user interface designed for ease of use, which is used when a user interacts with a system.

[0674] "Dialogue processing means" refers to technology for generating and transmitting responses in real time based on user input.

[0675] "Analysis processing means" refers to a method for analyzing user dialogue data and generating skill evaluations and improvement suggestions.

[0676] "Visual representation" refers to methods of displaying user progress and skill improvement using graphs, charts, and other visual aids.

[0677] This invention includes a system for effectively improving interpersonal communication skills for users. The system mainly consists of a server, terminals, and users.

[0678] The server functions as an information processing device, receiving user information transmitted from users via their terminals. The server stores this data in a database and performs user registration and authentication. Authentication is performed using a database system or a user authentication API.

[0679] Users operate this system via a terminal. The terminal features a user-friendly, ergonomic interface from which users select communication scenarios they wish to practice. This interface is implemented using touchscreens, voice input devices, and other means.

[0680] Selection information is sent from the terminal to the server, which uses a generative AI model to generate conversation scenarios suitable for the user. This process includes generative AI technologies (e.g., natural language generation engines) as AI models for text generation, for example. The interaction between the user and the AI ​​model takes place in real time, with the server receiving the user's statements and the AI ​​generating appropriate responses which are then sent to the terminal.

[0681] Furthermore, the server uses analytical processing tools to analyze user interaction data. It utilizes natural language processing technology to provide skill assessments and feedback. Assessments are presented using specific numerical values ​​and strings, while feedback includes areas for improvement and success stories.

[0682] The system uses progress display mechanisms to visually represent the user's skill improvement. This involves using libraries and visualization software for displaying graphs and charts.

[0683] As a concrete example, suppose a user wants to "simulate a scenario where they propose a new project to their boss at work." In this case, the server uses a generative AI model to generate conversation content appropriate to that scenario and delivers it to the device. The user can then interact with the device based on this content and receive practical feedback.

[0684] An example of a prompt might be, "Simulate a scenario where you propose a new project to your boss at work. Identify the key points you should mention and explain how to communicate them confidently." Based on this prompt, the AI ​​generates an appropriate dialogue scenario.

[0685] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0686] Step 1:

[0687] The server receives user information and performs registration and authentication. Personal data (such as name and email address) entered by the user via the terminal is sent from the terminal to the server. The server stores this information in a database and performs authentication by comparing the stored data with the entered data. This process allows the user to access the system.

[0688] Step 2:

[0689] The user uses the device to select a communication scenario they want to practice. The user interface on the device offers several scenarios, such as workplace presentations. Based on the user's selection, the device sends the selected scenario information to the server. The transmitted data is in JSON format.

[0690] Step 3:

[0691] The server generates conversation content using a generation AI model based on the received scenario information. First, a prompt (e.g., "Please simulate a scenario where you propose a new project to your boss at work.") is input to the AI ​​model. Based on this prompt, the AI ​​model generates contextually appropriate dialogue content and sends the generated dialogue scenario to the terminal.

[0692] Step 4:

[0693] The terminal displays a generated conversation scenario and provides an interface to the user. The user initiates interaction with the AI ​​through the terminal. The terminal converts the user's voice input into text and sends this text data to the server. The server uses a generative AI model to generate an appropriate response to the user's input and sends it back to the terminal.

[0694] Step 5:

[0695] After the conversation ends, the server analyzes the user's conversation data. Utilizing speech recognition technology and natural language processing algorithms, the server evaluates the user's statements and generates data to assess their skill level. The generated evaluation and feedback information is sent to the terminal and displayed to the user.

[0696] Step 6:

[0697] The server tracks the user's skill acquisition progress using progress display mechanisms. This involves using graphical tools to visualize the user's behavior history and areas for improvement. The visualized progress information is presented to the user via their terminal to assist with self-assessment.

[0698] Through this series of processes, users can improve their interpersonal communication skills.

[0699] (Application Example 1)

[0700] 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".

[0701] While many systems exist to improve interpersonal communication skills, there is a lack of effective training systems, particularly for improving customer service skills in physical stores. In this context, there is a need to provide a system that allows users to safely conduct customer service training with virtual customers.

[0702] 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.

[0703] In this invention, the server includes information processing means for receiving, registering, and authenticating user information; generation processing means for generating conversation content and creating dialogue scenes; and training support means for providing dialogue scenarios with virtual customers with the aim of improving real-world customer service skills. This enables users to practically improve their skills in a way that is relevant to real-world customer service situations and to make further improvements through feedback.

[0704] "Information processing means for receiving, registering, and authenticating user information" refers to the process of collecting personal data provided by users and using that data to identify and authorize users in order to ensure secure access.

[0705] "Generative processing means for generating conversation content and creating dialogue scenes" refers to a method for automatically constructing and providing appropriate and consistent conversation scenarios according to the user's choices and circumstances.

[0706] "Dialogue processing means that provides an interface for engaging in conversation with users and processes responses in real time" refers to technology that provides a user interface for users to communicate naturally with machines, enabling the listening of speech and immediate responses in the process.

[0707] "Analysis processing means for analyzing user dialogue data and generating skill evaluations and feedback" refers to processing technology that analyzes data collected during a dialogue to evaluate the user's interpersonal skills and creates and provides feedback based on that evaluation.

[0708] "A progress display means that provides a method for tracking and visualizing a user's skill progress" refers to a method for continuously observing the process of a user's skill improvement and showing the results and progress to the user in a visual format.

[0709] "Training support means that provides dialogue scenarios with virtual customers with the aim of improving real-world customer service skills" refers to support technology that provides users with the experience of interacting with virtual customers by simulating actual customer service situations, in order to hone the skills necessary for customer service.

[0710] This invention is a training system aimed at improving customer service skills in physical stores. The system mainly consists of three elements: a server, a terminal, and a user. Each of these elements works in conjunction to enable effective training for the user.

[0711] The server receives user information and performs registration and authentication. This is a necessary process to ensure system security and provide a personalized experience for each user. The terminal utilizes a generative AI model to generate conversation scenarios based on the user's choices. These generated scenarios create dialogue scenes with virtual customers simulating customer service situations, allowing users to participate in training with a sense of realism.

[0712] Users use their devices to engage in real-time conversations with virtual customers. Spoken words during the conversation are instantly transcribed using speech recognition technology, and AI analyzes the text to generate appropriate responses. Once the conversation ends, the server analyzes the user's conversation data to generate a skill assessment and feedback. This allows users to gain a concrete understanding of their strengths and areas for improvement.

[0713] Furthermore, the server tracks the user's skill progress and visualizes the results. This allows users to intuitively understand their own growth and increase their motivation. Smartphones and smart glasses are used as terminals, and when smart glasses are used in particular, the interaction with virtual customers can be experienced in a more realistic way.

[0714] As a concrete example, if a user selects a scenario involving product guidance, the device will present a series of steps explaining product information and train by responding to questions from a virtual customer. By inputting prompts such as "Generating AI model, generate effective phrases for customer guidance," the AI ​​will be presented with more specific and practical phrases, allowing the user to practice responding immediately.

[0715] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0716] Step 1:

[0717] The server receives user information from the user and performs registration and authentication. In this process, personal data entered by the user via the terminal is stored in a database, and the authentication algorithm checks whether the data is legitimate. The input is authentication information such as ID and password, and the output is the success or failure of authentication.

[0718] Step 2:

[0719] Once authentication is complete, the terminal displays a list of available customer service scenarios to the user. The user then selects the scenario they wish to train on. The input is the scenario selected by the user, and the output is information about the selected scenario.

[0720] Step 3:

[0721] The server generates conversation scenarios using a generative AI model based on scenario information sent from the terminal. During this process, data processing is performed to design appropriate phrases and conversation flow based on the selected scenario. The input is information about the selected scenario, and the output is the generated conversation scenario.

[0722] Step 4:

[0723] The terminal presents the user with a generated conversation scenario and initiates a real-time dialogue with a virtual customer. Speech recognition technology is used to convert the user's utterances into text data, which is then sent to the server. The input is the user's spoken utterances, and the output is the transcribed utterance data.

[0724] Step 5:

[0725] The server analyzes the received text data and generates an appropriate response using a generative AI model. In this step, phrase generation and contextual understanding are performed using prompt sentences. The input is the user's text statement, and the output is the response text generated by the AI.

[0726] Step 6:

[0727] The terminal relays the response received from the server to the user and continues the conversation. In this process, the response is provided to the user in voice using speech synthesis technology. The input is the response text generated by the AI, and the output is the response as synthesized speech.

[0728] Step 7:

[0729] Once the conversation ends, the server analyzes all conversation data and generates a user skill assessment and feedback. This step involves data calculations, such as comparisons with past conversation data. The input is the text data collected during the conversation, and the output is feedback including assessments and improvement suggestions.

[0730] Step 8:

[0731] After feedback is generated, the server uses a progress tracking function to visualize the user's skill improvement and sends it to the terminal. This allows the user to track their progress through graphical information. The input is the skill evaluation result, and the output is visualized progress information.

[0732] 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.

[0733] This invention is a system for improving users' interpersonal communication skills, and in addition to functions for registering user information, generating conversation scenarios, conducting dialogues, skill evaluation, and providing feedback, it is equipped with an emotion engine that recognizes the user's emotions. The main components of this system are a server, a terminal, and the user, and they work together to provide an effective training environment.

[0734] In the initial stages of the system, users register an account via their terminal and send the necessary information to the server. The server processes the information and stores it in a database, thereby building the foundation for users to utilize the system.

[0735] Next, the user selects a specific communication scenario on a device selection screen. For example, they can choose a scenario such as a workplace presentation or an interview. The selected information is sent to the server, where the AI ​​generates a corresponding conversation and sends it back to the device.

[0736] During the dialogue process, the user interacts with the AI ​​in real time through the device's interface. The system utilizes an emotion engine to recognize emotions from the user's voice and text data. The recognized emotions are processed on a server and used to adjust responses to the user and the content of the dialogue.

[0737] When an interaction takes place, the server analyzes the user's statements along with emotional data and generates feedback. This feedback includes specific areas for improvement based on skill achievement and emotional changes, and is provided to the user via the device.

[0738] As a concrete example, consider a scenario where the user sets up an interview situation. If the emotion engine detects that the user is feeling anxious, the server will generate a response in a gentle, conversational tone. If the user shows positive emotions, the server can present more challenging questions and provide a more engaging dialogue.

[0739] Furthermore, the system has the functionality to track user progress and display it on the device as graphs and charts. This allows users to intuitively understand their skill improvement and use that information to further enhance their abilities.

[0740] Thus, the present invention provides an environment in which users can express their emotions with peace of mind and further promotes the improvement of communication skills.

[0741] The following describes the processing flow.

[0742] Step 1:

[0743] The user logs into the device, registers personal information, and creates an account. The device sends this information to the server, which stores it in a database.

[0744] Step 2:

[0745] The user selects a conversation scenario they want to practice on their device. This selection is sent from the device to the server, which uses AI to generate the conversation.

[0746] Step 3:

[0747] The generated conversation content is sent to the terminal and presented to the user. The terminal provides a dialogue interface, and the user begins interacting with the AI.

[0748] Step 4:

[0749] When a user interacts with the AI ​​via their device, the emotion engine analyzes the voice and text and sends the user's emotional state to the server in real time.

[0750] Step 5:

[0751] Based on the received emotional information and dialogue content, the server's AI generates a response that corresponds to the user's emotions and sends it back to the terminal.

[0752] Step 6:

[0753] Once the conversation ends, the server analyzes the emotional data and conversation history to generate a skill evaluation and feedback. The feedback will take into account the user's emotional state.

[0754] Step 7:

[0755] The device displays the generated feedback to the user. Information including areas for improvement and successes is provided, which can be used to inform future interactions.

[0756] Step 8:

[0757] The server tracks the user's progress using conversation and emotional data, and sends visualized progress reports to the device. Users can then view these reports to track their skill improvement.

[0758] (Example 2)

[0759] 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".

[0760] In modern society, there is a demand for users to effectively improve their interpersonal communication skills. However, general communication training systems often fail to adequately consider the user's emotional state in their responses, or to provide real-time skill evaluation and improvement feedback. Therefore, there is a need for a system that appropriately recognizes the user's emotions and provides conversational responses and feedback accordingly.

[0761] 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.

[0762] In this invention, the server includes data processing means for receiving user information and performing authentication, generation means for generating conversation content and creating dialogue scenes using a generation AI model, and evaluation means for recognizing and analyzing emotions from the user's dialogue data using an emotion engine and generating feedback. This enables flexible conversational responses that respond to the user's emotions, as well as real-time skill evaluation and improvement suggestions.

[0763] "Data processing means" refers to a system or function used to authenticate and record information received from a user.

[0764] "Generative means" refers to a technology or method for generating conversation content using a generative AI model and constructing a specific dialogue scenario.

[0765] A "communication interface means" is a technology or system that enables real-time interaction with users and provides responses.

[0766] An "emotion engine" is software or technology that recognizes emotions from a user's voice or text, and uses that information to analyze and adjust responses.

[0767] "Evaluation methods" refer to methods and technologies for analyzing user dialogue data and generating skill evaluations and feedback.

[0768] A "visualization means" is a technology or system for visually representing and presenting a user's skill progress to the user.

[0769] A "generative AI model" is an artificial intelligence model that automatically generates conversation content based on user selections and inputs.

[0770] This invention is a system for improving users' interpersonal communication skills. The system includes three main components: a server, a terminal, and a user, which work together to function. The following details the embodiments for carrying out this invention.

[0771] The server receives user information and uses data processing tools to process it. These tools authenticate and record the information and store it in a database. Using a generative AI model, the server generates conversation content based on user choices. The generation process is executed by the AI ​​model according to prompts. An example of such a prompt is, "Generate a scenario for giving an effective presentation at work."

[0772] The terminal acts as the interface with the user, enabling real-time interaction. It uses speech recognition technology to convert the user's voice input into text and sends it to the server. The server uses an emotion engine to recognize emotions from the user's voice and text data and adjusts the conversation based on that information.

[0773] After the interaction, the server analyzes the user's dialogue data using evaluation tools and generates a skill assessment and feedback. The feedback includes specific suggestions for improvement and is provided to the user via the terminal. For example, if the user shows signs of nervousness, advice such as "Try breathing exercises to relieve tension" might be offered.

[0774] Furthermore, the server tracks the user's skill progress and displays the progress data on the terminal as graphs and charts using visualization tools. This allows users to visually confirm their own growth and plan for further improvement.

[0775] The entire system aims to provide users with a safe environment to express their emotions and to help them continuously improve their communication skills.

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

[0777] Step 1:

[0778] Users register an account by entering necessary personal information from their device. This information includes their name, email address, and the skills they wish to improve. This information is taken into the device as input and sent to the server. The server verifies the received information using data processing tools and stores it in a database. As output, the user's account is authenticated and ready to use the system.

[0779] Step 2:

[0780] The user selects a desired scenario from a list of communication scenarios provided on the terminal interface. The scenario selection is taken as input from the terminal and sent to the server. Based on the selected information, the server generates an appropriate prompt for the AI ​​model. For example, a prompt such as "Generate a dialogue to improve presentation skills" might be generated. The generated prompt is sent to the AI ​​model as input, and the conversation content is generated as output.

[0781] Step 3:

[0782] The server sends the generated conversation content to the terminal. The user then begins interacting with the AI ​​in real time via the terminal. The user's speech is taken as input to the terminal and converted into text data using speech recognition technology. The converted text data is sent to the server, where emotion recognition is performed using an emotion engine. The emotion information is output and used to adjust the next conversation.

[0783] Step 4:

[0784] During the conversation, the user's emotions are processed on the server through analysis by an emotion engine. For example, if anxiety is detected in the user's statements, the server generates a calm response. The input for this process is the emotion information from the previous step, and the output is an adapted dialogue. The dialogue output from the server is sent to the terminal, and the conversation with the user continues.

[0785] Step 5:

[0786] Once the conversation ends, the server aggregates the user's statements and emotional data and analyzes them using an evaluation tool. This generates feedback based on skill achievement and emotional changes. Dialogue data and emotional data are used as input, and the output is feedback summarizing specific areas for improvement and achievement. This feedback is sent to the terminal and displayed to the user.

[0787] Step 6:

[0788] The server continuously tracks the user's skill progress and visualizes it as graphs and charts using visualization tools. The tracked progress data is used as input, and visualized information is generated as output. This visual information is displayed on the terminal, allowing the user to visually confirm their own skill improvement.

[0789] (Application Example 2)

[0790] 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".

[0791] Conventional systems for improving interpersonal communication skills have faced challenges in appropriately recognizing users' emotions and dynamically adjusting dialogue content, thus failing to provide a realistic dialogue environment. Furthermore, there is a lack of sufficient technology to visually track skill progress and implement concrete improvements through feedback.

[0792] 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.

[0793] In this invention, the server includes information processing means for receiving, registering, and authenticating user information; generation processing means for generating conversation content and creating dialogue scenes in a virtual environment; and dialogue processing means for providing an interface for executing dialogue between the user and an AI character and processing responses in real time. This makes it possible to adjust the dialogue content in real time based on emotion data and provide the user with a more realistic dialogue environment.

[0794] "Information processing means" refers to a device or program that has processing functions for receiving, registering, and authenticating user information.

[0795] "Generation processing means" refers to a device or program that has the function of generating conversation content and creating a dialogue scene in a virtual environment.

[0796] "Dialogue processing means" refers to a device or program equipped with the function of conducting a dialogue between a user and an AI character and processing the response in real time.

[0797] "Emotion analysis means" refers to a device or program that recognizes a user's emotions using speech features and eye-tracking analysis, and adjusts the content of the conversation based on the emotion data.

[0798] "Analysis processing means" refers to a device or program that has the function of analyzing user dialogue data and generating skill evaluations and feedback.

[0799] "Progress display means" refers to a device or program that provides a method for tracking a user's skill progress and displaying it using visual elements.

[0800] This invention is implemented as a virtual training system to improve users' interpersonal communication skills.

[0801] This system consists of a server, terminals, and users. The server plays a central role in performing information processing, generation processing, interaction processing, sentiment analysis, analysis processing, and progress display. Terminals are devices that provide an interface for users to interact with the system, and include VR headsets and mobile devices.

[0802] The server first receives user information and performs registration and authentication. A secure database is used in this process to ensure the safe management of user information. A generated AI model automatically generates conversation scenarios based on the user's choices. Subsequently, the dialogue process is executed, and the user interacts with the AI ​​character in real time within a virtual environment.

[0803] Voice and eye-tracking data transmitted through the terminal's interface are processed by emotion analysis tools on the server, enabling real-time emotion recognition. Based on these analysis results, the generative AI model dynamically adjusts its responses to provide a more realistic conversational experience.

[0804] For example, if a user selects a customer service scenario in a virtual store, the server reads the emotions of the AI ​​character playing the role of the customer and suggests appropriate customer service methods. If the emotion analysis detects that the user's voice is slightly tense, the AI ​​character can offer follow-up suggestions in a gentler tone. This feedback is used to evaluate skills based on the data collected by the server, and progress is visualized in real time.

[0805] As an example of a prompt, consider an instruction given to a generative AI model in the form of, "Generate a prompt that instructs the AI ​​how to describe the features of a product when a customer asks about it."

[0806] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0807] Step 1:

[0808] The server receives user information from the terminal, registers it in the database, and performs authentication. The input information includes user identification and configuration data. This is processed through a secure process and stored in the database. The output provides the user's authentication status and initial settings.

[0809] Step 2:

[0810] The user selects a scenario to be conducted in a virtual environment via their terminal. Information about the selected scenario is sent to the server, and the generating AI model creates the conversation content based on this information. The input is the user's scenario selection, and the output is the generated adaptive conversation scenario provided to the terminal.

[0811] Step 3:

[0812] The server processes voice and eye-tracking data transmitted from the terminal using emotion analysis tools. It receives user voice data and still image data as input and uses machine learning techniques to identify emotions. The output is the identified emotion data.

[0813] Step 4:

[0814] The generative AI model utilizes emotion analysis results to dynamically adjust the dialogue content. The server instructs the AI ​​model with prompts based on the analyzed emotion data, generating new dialogue responses. The input is emotion data, and the adjusted dialogue content is displayed on the terminal as output.

[0815] Step 5:

[0816] The user interacts with an AI character on their device. The device presents the generated conversation to the user and sends the user's statements and responses to the server in real time. The AI ​​character's response is provided as output, allowing the conversation to continue.

[0817] Step 6:

[0818] The server collects records of conversations and uses an analysis process to generate skill evaluations and feedback. Input data consists of user utterances and sentiment data, which are analyzed to identify specific areas for improvement. Detailed feedback is then provided to the terminal as output.

[0819] Step 7:

[0820] The server uses a progress display mechanism to show the user's skill progress in a graphical format on the terminal. The input consists of analysis results and progress data, and by visualizing this, it provides output that allows the user to confirm their own growth.

[0821] 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.

[0822] 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.

[0823] 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.

[0824] 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.

[0825] 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.

[0826] 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.

[0827] 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.

[0828] 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.

[0829] 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."

[0830] 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.

[0831] 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.

[0832] 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.

[0833] 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.

[0834] 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.

[0835] 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.

[0836] 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.

[0837] 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.

[0838] 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.

[0839] 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.

[0840] 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.

[0841] 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.

[0842] The following is further disclosed regarding the embodiments described above.

[0843] (Claim 1)

[0844] Information processing means for receiving, registering, and authenticating user information,

[0845] A generation processing means for generating conversation content and creating a dialogue scene,

[0846] A dialogue processing means that provides an interface for interacting with users and processes responses in real time,

[0847] An analytical processing means for analyzing user dialogue data and generating skill evaluations and feedback,

[0848] A progress display means that provides a method for tracking and visualizing the skill progress of users,

[0849] A system that includes this.

[0850] (Claim 2)

[0851] The system according to claim 1, wherein the generated conversation content is adapted according to the user's selection.

[0852] (Claim 3)

[0853] The system according to claim 1, which uses speech recognition and text analysis technologies in real-time dialogue processing.

[0854] "Example 1"

[0855] (Claim 1)

[0856] Information processing means for receiving, registering, and authenticating user information,

[0857] A generation processing means for generating conversation content and creating a dialogue scene,

[0858] A dialogue processing means that provides an ergonomic interface for interacting with users and processes responses in real time,

[0859] An analytical processing means that analyzes user dialogue data and generates ability evaluations and improvement suggestions,

[0860] A display means for tracking and visually representing the progress of users' abilities,

[0861] A system that includes this.

[0862] (Claim 2)

[0863] The system according to claim 1, wherein the generated conversation content is adapted according to the user's selection.

[0864] (Claim 3)

[0865] The system according to claim 1, which uses speech recognition and string analysis techniques in real-time dialogue processing.

[0866] "Application Example 1"

[0867] (Claim 1)

[0868] Information processing means for receiving, registering, and authenticating user information,

[0869] A generation processing means for generating conversation content and creating a dialogue scene,

[0870] A dialogue processing means that provides an interface for interacting with users and processes responses in real time,

[0871] An analytical processing means for analyzing user dialogue data and generating skill evaluations and feedback,

[0872] A progress display means that provides a method for tracking and visualizing the skill progress of users,

[0873] A training support tool that provides dialogue scenarios with virtual customers with the aim of improving real-world customer service skills,

[0874] A system that includes this.

[0875] (Claim 2)

[0876] The system according to claim 1, wherein the generated conversation content is adapted according to the user's selection.

[0877] (Claim 3)

[0878] The system according to claim 1, which uses speech recognition and text analysis technologies in real-time dialogue processing.

[0879] "Example 2 of combining an emotion engine"

[0880] (Claim 1)

[0881] A data processing means for receiving user information and performing authentication,

[0882] A generation method that generates conversation content using a generative AI model and creates a dialogue scene,

[0883] A communication interface means for interacting with users and processing real-time responses,

[0884] An evaluation method that utilizes an emotion engine to recognize and analyze emotions from user dialogue data and generate feedback,

[0885] A visualization method that provides users' skill progress as visual information,

[0886] A system that includes this.

[0887] (Claim 2)

[0888] The system according to claim 1, wherein the generated conversation content is adjusted based on the user's specific selection.

[0889] (Claim 3)

[0890] The system according to claim 1, which utilizes speech recognition technology and text analysis technology in real-time dialogue processing and includes a function to recognize emotions.

[0891] "Application example 2 when combining with an emotional engine"

[0892] (Claim 1)

[0893] Information processing means for receiving, registering, and authenticating user information,

[0894] A generation processing means for generating conversation content and creating a dialogue scene in a virtual environment,

[0895] It provides an interface for conducting conversations between a user and an AI character, and a dialogue processing means for processing responses in real time.

[0896] An emotion analysis method that recognizes emotions using speech features and eye-tracking analysis, and adjusts the dialogue content based on emotion data,

[0897] An analytical processing means for analyzing user dialogue data and generating skill evaluations and feedback,

[0898] A progress display means that tracks the user's skill progress and provides a method for displaying it using visual elements,

[0899] A system that includes this.

[0900] (Claim 2)

[0901] The system according to claim 1, wherein the generated conversation content is adapted according to the user's choices and is dynamically adjusted in real time based on emotion data.

[0902] (Claim 3)

[0903] The system according to claim 1, which uses emotion analysis technology in addition to speech recognition and text analysis technology in real-time dialogue processing. [Explanation of Symbols]

[0904] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. Information processing means for receiving, registering, and authenticating user information, A generation processing means for generating conversation content and creating a dialogue scene, A dialogue processing means that provides an interface for interacting with users and processes responses in real time, An analytical processing means that analyzes user dialogue data and generates skill evaluations and feedback, A progress display means that provides a method for tracking and visualizing the skill progress of users, A system that includes this.

2. The system according to claim 1, wherein the generated conversation content is adapted according to the user's selection.

3. The system according to claim 1, which uses speech recognition and text analysis technologies in real-time dialogue processing.

Images