system

Abstract

We provide the system. [Solution] A monitoring means that monitors the operation of a user's electronic device and determines that assistance is needed under specific conditions, A natural language processing means that receives support requests from users and interprets their content, A guidance means that generates operating procedures based on user requests and provides operating instructions to the user according to those procedures, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern society, electronic devices are widely used as important information communication means. However, for some users including the elderly, their operations are complex and they often cannot fully utilize them. Therefore, it is necessary to repeatedly ask others about the operation method, and independent use may become difficult. Thus, it is an issue to enable users to solve problems independently when they have difficulties in operation and to use electronic devices smoothly.

Means for Solving the Problems

[0005] This invention provides monitoring means for monitoring a user's operation of an electronic device and determining that the user requires assistance under specific conditions. Furthermore, it includes natural language processing means for receiving and interpreting assistance requests from the user. By providing guidance means for generating operation procedures based on the user's request and guiding the user through those procedures, the invention realizes an environment in which users can efficiently use electronic devices without relying on others.

[0006] "User" refers to an individual who operates or uses an electronic device.

[0007] "Electronic devices" refer to digital devices used for information processing and communication, including smartphones and tablets.

[0008] "Operation" refers to a series of input actions or procedures performed on an electronic device, or the result thereof.

[0009] "Monitoring measures" refer to functions and methods for analyzing a user's operation and determining the need for assistance under specific conditions.

[0010] "Request for assistance" refers to an action or expression of intent by a user to seek assistance or guidance regarding the operation of electronic devices.

[0011] "Natural language processing means" refers to technologies and methods for interpreting and understanding the meaning of requests from users, whether in voice or text.

[0012] "Operating procedures" refer to a series of specific steps and instructions necessary for a user to accomplish their desired task.

[0013] "Guidance means" refers to methods or functions that present generated operating procedures to the user and encourage them to perform the operation correctly according to those procedures. [Brief explanation of the drawing]

[0014] [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

[0015] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

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

[0017] In the following embodiments, the 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.

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

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

[0020] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), and the like.

[0021] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0022] [First Embodiment]

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

[0024] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0025] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0026] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0027] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0028] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0029] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0031] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0032] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0033] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0034] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0035] This invention is a system for supporting a user's operation of an electronic device. The terminal monitors the user's operation status in real time, and when it determines that the user needs assistance, an AI agent is activated. A natural language processing means installed in the terminal analyzes and understands the user's voice or text-based assistance request.

[0036] Based on the analysis results, the server generates specific operating procedures to be performed on the electronic device. These procedures are sent to the terminal and presented to the user via an AI agent. The guidance system assists the user by visually highlighting interface elements on the screen, enabling them to perform the operations according to the procedure. This allows the user to gradually and independently operate the electronic device.

[0037] As a concrete example, consider a case where a user wants to send a photo via email. When the user says, "I want to send a photo," the device converts the voice into text and sends it to the server. The server parses the text and generates the necessary steps to send the photo via email. These steps include opening the gallery app, selecting the photo, pressing the share button, and selecting the email app.

[0038] The device presents these steps to the user through an AI agent, visually guiding them through each step. Once the user completes all steps, the device requests feedback to confirm the operation was successful. The collected feedback is used to improve future guidance. This entire process allows users to learn how to operate electronic devices at their own pace and build confidence in their skills.

[0039] The following describes the processing flow.

[0040] Step 1:

[0041] The terminal monitors the user's electronic device operations in real time and determines that the user may need assistance if a specific operation is not performed within a certain period of time or if the operation is determined to have failed.

[0042] Step 2:

[0043] The device displays a message to confirm if the user needs assistance and prompts the user to make a request for assistance via voice or text. When the user gives an instruction, such as "I want to send a photo," the device converts the voice into text.

[0044] Step 3:

[0045] The terminal sends the converted text data to the server. The server uses natural language processing to analyze the user's request and identify the necessary steps.

[0046] Step 4:

[0047] Based on the analysis results, the server generates specific operational procedures to satisfy the user's request. For example, it might configure a procedure for sending a photo via email.

[0048] Step 5:

[0049] The server sends the generated operating instructions to the terminal. The terminal, via an AI agent, provides the user with a step-by-step guide for performing the operation.

[0050] Step 6:

[0051] The device visually highlights the relevant interface elements at each step of the guide, guiding the user to easily perform the next action.

[0052] Step 7:

[0053] Once the user completes all the steps according to the instructions, the device displays a message to the user confirming the success of the operation and requesting feedback.

[0054] Step 8:

[0055] The device sends feedback data collected from users to a server, and this data is used to improve future guides and AI agents.

[0056] (Example 1)

[0057] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0058] Modern electronic devices are multi-functional, which can sometimes make operation difficult for users. In particular, complex operations or unfamiliar tasks can easily confuse users, hindering efficient work performance. Furthermore, traditional systems often have static operation guides that are inadequate to meet individual user needs. Therefore, there is a need to develop systems that provide personalized and dynamic operational support tailored to user needs.

[0059] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0060] In this invention, the server includes monitoring means for collecting user operation status and activating an artificial intelligence agent when assistance is needed, means for interpreting the user's voice or text-based assistance requests with a natural language processing engine, and means using a generative AI model that automatically generates operation procedures based on the interpretation results and presents them to the user. This enables the user to receive personalized and dynamic assistance tailored to their own pace of operation.

[0061] "Monitoring measures" refer to functions that collect user activity in real time and determine whether assistance is needed.

[0062] An "artificial intelligence agent" is a software program that operates to assist user actions, providing the user with appropriate instructions and information depending on the situation.

[0063] A "natural language processing engine" refers to a processing unit that uses technology to analyze speech and text input from users and understand their intent and content.

[0064] A "generative AI model" refers to a machine learning model that automatically generates specific operating procedures based on a user's assistance request.

[0065] "Visual guidance means" refers to a function that visually emphasizes the operational elements on the screen, making it easier for users to understand the operating procedures.

[0066] "Feedback analysis means" refers to a function that analyzes feedback data obtained after user operation to improve the system's guidance performance.

[0067] This invention is a support system for users to efficiently operate electronic devices. The system consists of a terminal and a server.

[0068] The device is equipped with a microphone to receive the user's voice and a natural language processing engine to convert the voice into text. A speech recognition API is used for natural language processing, converting the voice data into text in real time. For example, if the user says, "I want to send a photo," that voice command is converted into text by the device.

[0069] The server has a generative AI model that receives textualized user requests and analyzes their content. This AI model is trained on machine learning algorithms and generates appropriate steps for responding to user requests. These steps are flexibly adjusted according to the user's requests. Specifically, steps such as "Open the gallery app, select a photo, press the share button, and select the email app" are generated.

[0070] The terminal displays the operating procedures sent from the server to the user on the screen. By visually highlighting important operating elements, it functions as a visual guide. This allows the user to reliably complete the task by following the presented operating procedures.

[0071] Upon completing an operation, the user provides feedback to the terminal. This feedback is sent to the server and used to improve the system's guidance performance through feedback analysis.

[0072] For example, if a user wants to send a photo via email from their smartphone, the system will issue a simple prompt such as "I want to send a photo via email." Based on this prompt, the system will automatically guide the user through the necessary steps, reducing the user's burden.

[0073] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0074] Step 1:

[0075] The terminal receives voice input from the user. Specifically, the terminal's microphone captures the user's voice commands. This voice data becomes the system's input. This voice data is converted into text data by the speech recognition software installed in the terminal. The output is the converted text data.

[0076] Step 2:

[0077] The terminal sends the acquired text data to the server. The server receives this text data and analyzes it using a natural language processing engine. This analysis process involves semantic analysis to understand the user's intent using the text data as input. The output is the analyzed user request.

[0078] Step 3:

[0079] The server generates specific operating procedures using a generative AI model based on the analyzed request. In this process, the AI ​​model infers the appropriate procedure from the input user request. The output is the generated operating procedure.

[0080] Step 4:

[0081] The server sends the generated operating procedure to the terminal. The terminal presents the received operating procedure to the user. The presentation method involves highlighting interface elements on the screen to allow the user to easily proceed step by step. The output is a visual presentation of the operating procedure to the user.

[0082] Step 5:

[0083] The user performs operations according to the device's guidance. The user performs physical actions according to the device's instructions, such as tapping the presented interface elements with their finger. This executes the user's input as an operation, and the intended task progresses on the electronic device.

[0084] Step 6:

[0085] The device collects feedback from the user after the operation is completed. This feedback includes information about whether the operation was successful and is provided by presenting simple options on the device's screen. The collected feedback is sent to the server.

[0086] Step 7:

[0087] The server analyzes the collected feedback and uses it to improve the system's guidance performance. The feedback data is processed as input, and this process outputs insights that will be useful for future improvements.

[0088] (Application Example 1)

[0089] 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."

[0090] With the advancement of modern information technology, operations using computer devices and smart devices are becoming increasingly complex. As a result, particularly in the field of electronic trading, users may become confused by the operation methods, making it difficult to complete transactions accurately and efficiently. There is a need for a system that can solve this problem and provide support to enable users to easily complete operations.

[0091] 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.

[0092] In this invention, the server includes monitoring means for monitoring the user's operations on the information processing device and determining that assistance is needed under specific conditions; natural language processing means for receiving assistance requests from the user and interpreting their content; guidance means for generating operation procedures based on the user's requests and guiding the user through those procedures; visualization means for highlighting visual elements necessary for executing the operation procedures; and data analysis means for collecting user experience inputs and analyzing the data to improve the performance of the guidance means. This enables users to intuitively perform electronic transactions and complex operations, resulting in a highly satisfying user experience.

[0093] A "user information processing device" is an electronic device primarily used by users to input and manipulate information.

[0094] "Monitoring means" refers to a device or software that has the function of observing the user's operation status in real time and determining the need for assistance when a specific state or condition is met.

[0095] "Natural language processing means" refers to a function that has a process for interpreting voice or text input from the user, understanding its meaning, and generating operation instructions.

[0096] "Means for generating operating procedures" refers to means for concretizing a series of related operations and clearly indicating the process in response to user requests.

[0097] "Guidance means" refers to a device or software that has the function of guiding the user to perform appropriate operations according to the generated operating procedures.

[0098] A "visualization means" is a means that visually highlights important elements on a user interface, enabling users to operate it without confusion.

[0099] "Data analysis means" refers to a device or software that analyzes feedback data collected from users and derives improvement measures to enhance the guidance performance of the system.

[0100] A system implementing this invention includes a program that implements multiple means to assist user operation. Its primary purpose is to make electronic devices easier for users to use, primarily through the use of information processing devices, servers, and AI agents.

[0101] The user's information processing device uses a microphone to receive voice input and utilizes speech recognition software to convert the speech into text. This converted text is then sent to a server via the network.

[0102] The server uses a generative AI model to analyze the received text. This model performs natural language processing, understands the user's intent, and formulates specific operating procedures. Based on these procedures, instructions are generated that appropriately highlight the visual elements of the user interface.

[0103] The AI ​​agent on the terminal guides the user through the generated steps. Important elements are highlighted on the screen using visualization techniques to help the user proceed smoothly. For example, when making a payment, the payment button can be highlighted.

[0104] After the user completes an operation, they provide feedback, which the server then uses to analyze the data for improvement. This data is then incorporated into future operation assistance, improving the accuracy of the guidance system.

[0105] As a concrete example, consider a case where a user attempts to make an electronic payment. If the user voice-inputs, "I want to pay this month's electricity bill," the server analyzes the intent, launches the payment app, and generates instructions to display the billing information. Then, each step is highlighted using visualization tools, allowing the user to proceed step by step.

[0106] Examples of prompts for the generated AI model include: "What specific assistance does the user need from the voice assistant during the electricity bill payment process?" and "What steps are necessary to support the payment of electricity bills?"

[0107] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0108] Step 1:

[0109] The user inputs voice. The device's microphone captures the user's voice and sends the data to speech recognition software. The input is raw voice data, and the output is the user's request in text format.

[0110] Step 2:

[0111] The device uses speech recognition software to convert speech data into text data. This is a process that analyzes speech data and generates text based on a language model. The output is text data that represents the user's intent.

[0112] Step 3:

[0113] The converted text data is sent from the terminal to the server. The server receives this text data and applies a generative AI model to understand your request. Here, the input is text data, and the output is the parsed user request.

[0114] Step 4:

[0115] The server generates specific operating procedures from the text analyzed using a generative AI model. Based on this prompt, the AI ​​model clarifies the expected procedure. The output is a series of specific operating steps.

[0116] Step 5:

[0117] The generated operation steps are sent from the server to the terminal. The terminal's AI agent receives them and creates visualizations to guide the user on the user interface. This visualization includes a process of highlighting interface elements. The output is a guide displayed on the user's screen.

[0118] Step 6:

[0119] The user performs the operation by following the visually guided steps provided by the device. Once the operation is complete, the system prompts the user for feedback. This feedback includes information about the final success or any errors.

[0120] Step 7:

[0121] The server receives feedback data and uses data analysis tools to analyze it in order to improve the guidance system. This analysis will improve the accuracy of future instructions. The output is a dataset of the improved guidance system.

[0122] 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.

[0123] The present invention is a system that supports the operation of a user's electronic device, and in particular, by incorporating an emotion engine, it provides advanced support that takes into account the user's emotional state. This system comprises monitoring means, natural language processing means, guidance means, visual guidance means, feedback analysis means, and an emotion engine.

[0124] The device monitors user actions in real time. If the user is unable to complete a specific action or if assistance is deemed necessary, an AI agent is activated. During user interaction, the emotion engine analyzes the user's current emotions using their voice tone and facial expression data. For example, if the user is showing signs of anxiety or frustration, the emotion engine takes this emotional state into account and provides this information to the guidance system.

[0125] The server analyzes the user's request for assistance using natural language processing and generates specific operating procedures based on that request. The generated procedures are sent to the terminal and presented to the user via an AI agent. Here, based on feedback from the emotion engine, the guidance system provides empathetic responses and assistance to the user, enhancing emotional support.

[0126] For example, consider a scenario where a user says, "I want to send a photo, but I can't." The device converts this audio into text and sends it to the server. The server generates instructions based on the analysis, providing guidance such as, "Open the gallery app, select the photo, and tap share." If the user's tone of voice indicates confusion or frustration, the instructions are adapted by becoming more detailed or adding gentler advice.

[0127] After the user completes a procedure, the device requests feedback on whether the operation was successful. This feedback, along with sentiment data detected by the sentiment engine, is sent to the server and used to improve the accuracy of future guidance and enhance the user experience. This system is important for providing attentive support to users and creating an environment where they can use electronic devices more comfortably.

[0128] The following describes the processing flow.

[0129] Step 1:

[0130] The device constantly monitors the user's actions and determines if the user is experiencing difficulty with a particular operation or if the operation is not being performed smoothly.

[0131] Step 2:

[0132] If the device determines that the user needs assistance, the AI ​​agent will activate, display a message such as "Can I help you?", and prepare to accept the assistance request.

[0133] Step 3:

[0134] When a user inputs a request for assistance, such as "I want to send a photo," via voice or text, the device passes this information to the emotion engine and begins sentiment analysis. Simultaneously, the request is converted into text data.

[0135] Step 4:

[0136] The device sends text data and sentiment data to the server. The server uses natural language processing to analyze the text data and generate operating procedures tailored to the user's purpose.

[0137] Step 5:

[0138] Based on the user's emotional state (e.g., tension, anxiety) analyzed by the emotion engine, the server adjusts the language and responses in the generated procedures. For example, if the user is showing anxiety, the procedures will be written in more relatable language.

[0139] Step 6:

[0140] The server sends the generated operating instructions to the terminal. The terminal, via an AI agent, visually guides the user through the operating instructions. This guidance includes detailed explanations for each step and highlighting of the screen interface.

[0141] Step 7:

[0142] Once the user follows the instructions and the task is completed, the device will ask the user for confirmation of success and their feedback.

[0143] Step 8:

[0144] The device records user feedback and emotional data obtained from the emotion engine to a server. This data will be used to improve future support features.

[0145] (Example 2)

[0146] 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".

[0147] When users operate electronic devices, there is a need to mitigate difficulties caused by unfamiliar operations or malfunctions, and to provide more effective and empathetic support. However, conventional systems often provide uniform responses without considering the user's emotions or the situation at hand, leading to unsatisfactory experiences for users. Therefore, there is a need to develop systems that understand the user's emotional state and can respond flexibly.

[0148] 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.

[0149] In this invention, the server includes observation means, language processing means, instruction means, emotion analysis means, and emotion response means. This enables flexible support that takes into account the user's emotional state while monitoring the user's operations, allowing the user to use electronic devices with peace of mind.

[0150] An "observation device" is a device that has the function of monitoring the user's operation of information devices in real time and determining whether the user is in need of assistance.

[0151] A "language processing device" is a device that analyzes support requests received from a user, interprets their content linguistically, and determines appropriate operating procedures.

[0152] A "command device" is a device that generates operating procedures based on user requests and provides specific operating instructions to the user according to those procedures.

[0153] An "emotional analysis device" is a device that analyzes the user's voice tone and facial expression data to determine the user's emotional state.

[0154] An "emotional response device" is a device that adjusts operation guidance based on emotional data obtained from an emotional analysis device, and provides support that is tailored to the user's emotions.

[0155] This invention is a system for effectively assisting users in operating information devices. In particular, it aims to provide more flexible support by taking into account the user's emotional state. The entire system consists of observation means, language processing means, instruction means, emotion analysis means, and emotion response means.

[0156] The terminal is equipped with observation means to monitor user operations in real time. These observation means use sensors and software to capture the user's operation status and immediately determine when assistance is needed.

[0157] The server analyzes the support requests received from the user using language processing tools. These tools employ natural language processing techniques to extract and understand specific requests from the user's words. A generative AI model supports this process, clarifying ambiguous user requests.

[0158] When a user encounters difficulties, the instruction system automatically generates operating procedures and guides the user through the terminal. This process also provides a user-friendly interface.

[0159] Furthermore, the device analyzes the user's voice tone and facial expressions through an emotion analysis mechanism to understand their emotional state. This allows the emotional response mechanism to adjust the generated instructions to match the user's emotional state. For example, if the user is showing anxiety, the instructions will be gentle and reassuring.

[0160] As a concrete example, consider a scenario where a user says, "I want to send a photo, but I can't do it properly." In this case, the device converts the voice into text and sends it to the server. The server uses language processing to analyze this request and provides specific instructions such as, "Open the gallery app, select the photo, and tap share."

[0161] By utilizing a generative AI model, an example of a prompt message could be, "If a user is experiencing difficulty operating an electronic device, how can we provide reassuring assistance?" This prompt message allows the system to better understand the user's needs and provide appropriate support.

[0162] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0163] Step 1:

[0164] The terminal monitors user actions in real time. Specifically, it uses sensors and input devices to detect user actions and collect data on them. Inputs include touch, voice commands, and gestures, and output is an operation log. This log includes information such as the time, type, and success or failure of the operation.

[0165] Step 2:

[0166] The device utilizes emotional analysis techniques to analyze the user's voice and facial expressions. Data acquired from the microphone and camera is input, and the user's emotional state is analyzed by an emotion analysis algorithm. The output of this process is metadata related to specific emotions (e.g., anxiety, frustration), which is used in subsequent processes.

[0167] Step 3:

[0168] The server receives a request for assistance from the user. The language processing system receives voice and text data from the user as input and interprets its content using a natural language processing engine. As a result, the output identifies specific actions or guidelines that the user is seeking.

[0169] Step 4:

[0170] The server generates operating procedures based on user requests. Here, the analyzed requests are used as input data, and a generation AI model is utilized to plan the actual operating procedures. The output is a list of specific steps the user should take (e.g., open the app, select a photo, press the send button).

[0171] Step 5:

[0172] The terminal presents the generated operating instructions to the user. It uses its display and audio output to provide visual or auditory guidance to the user. The input is the operating instructions from the server, and the output is user-friendly instructional information.

[0173] Step 6:

[0174] The user performs the operation according to the provided procedure and provides feedback after completing the operation. The input is the operation actually performed by the user and its result, and the output is feedback data regarding success or failure. This feedback is sent to the server for future use.

[0175] Through these steps, the system aims to improve the user experience by providing support tailored to the user's emotions and actions.

[0176] (Application Example 2)

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

[0178] Traditional user interfaces provided standardized support without considering the user's emotional state, resulting in a lack of appropriate support for users experiencing anxiety or frustration during operation. Therefore, there is a growing need for emotionally responsive support systems that allow users to smoothly perform everyday tasks such as operating electronic devices and household chores without causing stress.

[0179] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0180] In this invention, the server includes monitoring means for monitoring the operation of the user's information processing device and determining that support is needed under specific conditions; language analysis means for receiving support requests from the user and interpreting their content; guidance means for generating operation procedures based on the user's requests and providing operation guidance to the user according to those procedures; emotion analysis means for analyzing the user's emotional state; and emotion adjustment means for making the operation guidance more responsive based on the emotional state. This enables detailed support that is tailored to the user's emotions.

[0181] "User" refers to an individual who operates an information processing device.

[0182] An "information processing device" refers to a device that performs electronic processing and provides an interface with the user through operation.

[0183] "Monitoring measures" refer to elements that continuously monitor user operations and have the function of determining whether assistance is needed in specific situations.

[0184] "Language analysis means" refers to technology that receives support requests from users in natural language, interprets their content, and extracts meaning.

[0185] "Guidance means" refers to a mechanism or function that provides appropriate operational guidance to the user according to the generated operating procedure.

[0186] "Emotional analysis methods" refer to technologies that detect and analyze a user's emotional state from their facial expressions and voice.

[0187] "Emotion adjustment means" refers to technology that adjusts the content and tone of guidance based on the detected emotional state, providing responses that are highly compatible with the user.

[0188] This invention provides a system in which an information processing device and a server work together to provide emotionally responsive support to a user. User operations are continuously monitored by the information processing device. The monitoring means evaluates various operations performed by the user on the device in real time, and if it is determined that support is needed, it sends a request to the server through the language analysis means.

[0189] The server interprets the support request sent by the user using natural language processing and generates specific action procedures based on the results. These procedures are delivered to the user through guidance means and guided visually or audibly. Here, an emotion analysis means collects the user's facial expressions and voice data and analyzes their emotional state, so that an emotion adjustment means adjusts the guidance content to be highly relatable to the user.

[0190] For example, if a user experiences confusion or anxiety while cooking, the information processing device can detect this emotional state using emotion analysis and notify the server. The server can then generate appropriate cooking instructions, display them clearly on the screen, and provide gentle voice guidance to encourage and support the user's confidence.

[0191] Within this system, the generative AI model is used for natural language processing and sentiment analysis, and an example of its prompt message is: "When the user shows a confused expression, please explain the support in gentle and friendly language." The goal is for the system to provide support in real time based on the user's direct needs and emotions.

[0192] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0193] Step 1:

[0194] The terminal monitors user actions in real time. It acquires user action logs and interface usage data as input, and processes this data to infer difficulties and user confusion during the current operation. The output generates a signal indicating whether assistance is needed.

[0195] Step 2:

[0196] Voice and facial expression data collected by the device are analyzed by emotion analysis tools. Voice tone and facial expression images are used as input, and the user's emotional state (e.g., confusion, dissatisfaction, relief, etc.) is evaluated through an emotion recognition algorithm. Data of the evaluated emotional state is generated as output.

[0197] Step 3:

[0198] The server interprets the content of the user's support request and emotional state data received from the terminal in detail using language analysis tools. The input is a textualized support request. Natural language processing is performed to generate specific support procedures as output.

[0199] Step 4:

[0200] The server creates user-friendly guidance content using guidance mechanisms, taking into account the generated operation procedures and emotion data. Operation procedure data and emotion evaluation data are used as input. Operation guidance is adjusted via emotion adjustment mechanisms, and the output is provided as an audio message or screen display guide.

[0201] Step 5:

[0202] The user attempts to perform the operation by following the provided instructions and procedures. The input is the guidance provided by the server, and the user performs the operation based on that guidance. The output is feedback data indicating whether the operation was successful and whether further assistance is needed.

[0203] Step 6:

[0204] The server analyzes user feedback and new sentiment data to update its generative AI model, improving the content and methods of future guidance. Feedback data is analyzed as input. An improved guidance strategy is formed as output, which is then used in subsequent interactions.

[0205] 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.

[0206] 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.

[0207] 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.

[0208] [Second Embodiment]

[0209] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0210] 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.

[0211] 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).

[0212] 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.

[0213] 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.

[0214] 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).

[0215] 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.

[0216] 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.

[0217] 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.

[0218] 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.

[0219] 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.

[0220] 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".

[0221] This invention is a system for supporting a user's operation of an electronic device. The terminal monitors the user's operation status in real time, and when it determines that the user needs assistance, an AI agent is activated. A natural language processing means installed in the terminal analyzes and understands the user's voice or text-based assistance request.

[0222] Based on the analysis results, the server generates specific operating procedures to be performed on the electronic device. These procedures are sent to the terminal and presented to the user via an AI agent. The guidance system assists the user by visually highlighting interface elements on the screen, enabling them to perform the operations according to the procedure. This allows the user to gradually and independently operate the electronic device.

[0223] As a concrete example, consider a case where a user wants to send a photo via email. When the user says, "I want to send a photo," the device converts the voice into text and sends it to the server. The server parses the text and generates the necessary steps to send the photo via email. These steps include opening the gallery app, selecting the photo, pressing the share button, and selecting the email app.

[0224] The device presents these steps to the user through an AI agent, visually guiding them through each step. Once the user completes all steps, the device requests feedback to confirm the operation was successful. The collected feedback is used to improve future guidance. This entire process allows users to learn how to operate electronic devices at their own pace and build confidence in their skills.

[0225] The following describes the processing flow.

[0226] Step 1:

[0227] The terminal monitors the user's electronic device operations in real time and determines that the user may need assistance if a specific operation is not performed within a certain period of time or if the operation is determined to have failed.

[0228] Step 2:

[0229] The device displays a message to confirm if the user needs assistance and prompts the user to make a request for assistance via voice or text. When the user gives an instruction, such as "I want to send a photo," the device converts the voice into text.

[0230] Step 3:

[0231] The terminal sends the converted text data to the server. The server uses natural language processing to analyze the user's request and identify the necessary steps.

[0232] Step 4:

[0233] Based on the analysis results, the server generates specific operational procedures to satisfy the user's request. For example, it might configure a procedure for sending a photo via email.

[0234] Step 5:

[0235] The server sends the generated operating instructions to the terminal. The terminal, via an AI agent, provides the user with a step-by-step guide for performing the operation.

[0236] Step 6:

[0237] The device visually highlights the relevant interface elements at each step of the guide, guiding the user to easily perform the next action.

[0238] Step 7:

[0239] Once the user completes all the steps according to the instructions, the device displays a message to the user confirming the success of the operation and requesting feedback.

[0240] Step 8:

[0241] The device sends feedback data collected from users to a server, and this data is used to improve future guides and AI agents.

[0242] (Example 1)

[0243] 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."

[0244] Modern electronic devices are multi-functional, which can sometimes make operation difficult for users. In particular, complex operations or unfamiliar tasks can easily confuse users, hindering efficient work performance. Furthermore, traditional systems often have static operation guides that are inadequate to meet individual user needs. Therefore, there is a need to develop systems that provide personalized and dynamic operational support tailored to user needs.

[0245] 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.

[0246] In this invention, the server includes monitoring means for collecting user operation status and activating an artificial intelligence agent when assistance is needed, means for interpreting the user's voice or text-based assistance requests with a natural language processing engine, and means using a generative AI model that automatically generates operation procedures based on the interpretation results and presents them to the user. This enables the user to receive personalized and dynamic assistance tailored to their own pace of operation.

[0247] "Monitoring measures" refer to functions that collect user activity in real time and determine whether assistance is needed.

[0248] An "artificial intelligence agent" is a software program that operates to assist user actions, providing the user with appropriate instructions and information depending on the situation.

[0249] A "natural language processing engine" refers to a processing unit that uses technology to analyze speech and text input from users and understand their intent and content.

[0250] A "generative AI model" refers to a machine learning model that automatically generates specific operating procedures based on a user's assistance request.

[0251] "Visual guidance means" refers to a function that visually emphasizes the operational elements on the screen, making it easier for users to understand the operating procedures.

[0252] "Feedback analysis means" refers to a function that analyzes feedback data obtained after user operation to improve the system's guidance performance.

[0253] This invention is a support system for users to efficiently operate electronic devices. The system consists of a terminal and a server.

[0254] The device is equipped with a microphone to receive the user's voice and a natural language processing engine to convert the voice into text. A speech recognition API is used for natural language processing, converting the voice data into text in real time. For example, if the user says, "I want to send a photo," that voice command is converted into text by the device.

[0255] The server has a generative AI model that receives textualized user requests and analyzes their content. This AI model is trained on machine learning algorithms and generates appropriate steps for responding to user requests. These steps are flexibly adjusted according to the user's requests. Specifically, steps such as "Open the gallery app, select a photo, press the share button, and select the email app" are generated.

[0256] The terminal displays the operating procedures sent from the server to the user on the screen. By visually highlighting important operating elements, it functions as a visual guide. This allows the user to reliably complete the task by following the presented operating procedures.

[0257] Upon completing an operation, the user provides feedback to the terminal. This feedback is sent to the server and used to improve the system's guidance performance through feedback analysis.

[0258] For example, if a user wants to send a photo via email from their smartphone, the system will issue a simple prompt such as "I want to send a photo via email." Based on this prompt, the system will automatically guide the user through the necessary steps, reducing the user's burden.

[0259] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0260] Step 1:

[0261] The terminal receives voice input from the user. Specifically, the terminal's microphone captures the user's voice commands. This voice data becomes the system's input. This voice data is converted into text data by the speech recognition software installed in the terminal. The output is the converted text data.

[0262] Step 2:

[0263] The terminal sends the acquired text data to the server. The server receives this text data and analyzes it using a natural language processing engine. This analysis process involves semantic analysis to understand the user's intent using the text data as input. The output is the analyzed user request.

[0264] Step 3:

[0265] The server generates specific operating procedures using a generative AI model based on the analyzed request. In this process, the AI ​​model infers the appropriate procedure from the input user request. The output is the generated operating procedure.

[0266] Step 4:

[0267] The server sends the generated operating procedure to the terminal. The terminal presents the received operating procedure to the user. The presentation method involves highlighting interface elements on the screen to allow the user to easily proceed step by step. The output is a visual presentation of the operating procedure to the user.

[0268] Step 5:

[0269] The user performs operations according to the device's guidance. The user performs physical actions according to the device's instructions, such as tapping the presented interface elements with their finger. This executes the user's input as an operation, and the intended task progresses on the electronic device.

[0270] Step 6:

[0271] The device collects feedback from the user after the operation is completed. This feedback includes information about whether the operation was successful and is provided by presenting simple options on the device's screen. The collected feedback is sent to the server.

[0272] Step 7:

[0273] The server analyzes the collected feedback and uses it to improve the system's guidance performance. The feedback data is processed as input, and this process outputs insights that will be useful for future improvements.

[0274] (Application Example 1)

[0275] 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."

[0276] With the advancement of modern information technology, operations using computer devices and smart devices are becoming increasingly complex. As a result, particularly in the field of electronic trading, users may become confused by the operation methods, making it difficult to complete transactions accurately and efficiently. There is a need for a system that can solve this problem and provide support to enable users to easily complete operations.

[0277] 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.

[0278] In this invention, the server includes monitoring means for monitoring the user's operations on the information processing device and determining that assistance is needed under specific conditions; natural language processing means for receiving assistance requests from the user and interpreting their content; guidance means for generating operation procedures based on the user's requests and guiding the user through those procedures; visualization means for highlighting visual elements necessary for executing the operation procedures; and data analysis means for collecting user experience inputs and analyzing the data to improve the performance of the guidance means. This enables users to intuitively perform electronic transactions and complex operations, resulting in a highly satisfying user experience.

[0279] A "user information processing device" is an electronic device primarily used by users to input and manipulate information.

[0280] "Monitoring means" refers to a device or software that has the function of observing the user's operation status in real time and determining the need for assistance when a specific state or condition is met.

[0281] "Natural language processing means" refers to a function that has a process for interpreting voice or text input from the user, understanding its meaning, and generating operation instructions.

[0282] "Means for generating operating procedures" refers to means for concretizing a series of related operations and clearly indicating the process in response to user requests.

[0283] The "guidance means" is a device or software having a function of guiding a user to perform appropriate operations according to the generated operation procedures.

[0284] The "visualization means" is a means having a function of visually emphasizing important elements on the user interface so that the user can perform operations without confusion.

[0285] The "data analysis means" is a device or software that analyzes the feedback data collected from the user and leads to improvement measures for improving the guidance performance of the system.

[0286] The system for implementing this invention includes a program implementing a plurality of means in order to assist the user's operations. Mainly, an information processing device, a server, and an AI agent are used for the purpose of making it easier for the user to use electronic devices.

[0287] The user's information processing device uses a microphone to receive voice input and utilizes voice recognition software to convert the voice into text. This converted text is transmitted to the server via the network.

[0288] The server uses a generated AI model to analyze the received text. This model performs natural language processing, understands the user's intention, and formulates specific operation procedures. Based on the operation procedures, procedures for appropriately emphasizing the visual elements of the user interface are generated.

[0289] The AI agent on the terminal guides the user through the generated procedures. At this time, important elements are emphasized by the visualization means on the screen, and the user is guided to smoothly proceed with the operations. For example, when performing a payment operation, it is possible to emphasize the payment button.

[0290] After the user completes an operation, they provide feedback, which the server then uses to analyze the data for improvement. This data is then incorporated into future operation assistance, improving the accuracy of the guidance system.

[0291] As a concrete example, consider a case where a user attempts to make an electronic payment. If the user voice-inputs, "I want to pay this month's electricity bill," the server analyzes the intent, launches the payment app, and generates instructions to display the billing information. Then, each step is highlighted using visualization tools, allowing the user to proceed step by step.

[0292] Examples of prompts for the generated AI model include: "What specific assistance does the user need from the voice assistant during the electricity bill payment process?" and "What steps are necessary to support the payment of electricity bills?"

[0293] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0294] Step 1:

[0295] The user inputs voice. The device's microphone captures the user's voice and sends the data to speech recognition software. The input is raw voice data, and the output is the user's request in text format.

[0296] Step 2:

[0297] The device uses speech recognition software to convert speech data into text data. This is a process that analyzes speech data and generates text based on a language model. The output is text data that represents the user's intent.

[0298] Step 3:

[0299] The converted text data is sent from the terminal to the server. The server receives this text data and applies a generative AI model to understand your requests. The input here is the text data, and the output is the analyzed user request.

[0300] Step 4:

[0301] The server uses the generative AI model to generate specific operation procedures from the analyzed text. Based on this prompt text, clarify the procedures assumed by the AI model. The output is a series of specific operation steps.

[0302] Step 5:

[0303] The generated operation steps are sent from the server to the terminal. The AI agent on the terminal receives it and performs visualization for guiding on the user interface. This visualization includes the process of highlighting interface elements. The output is a guide displayed on the user's screen.

[0304] Step 6:

[0305] The user operates according to the steps visually guided by the terminal. When the operation is completed, the system requests feedback from the user. The input of the user's operation includes the final success or error information.

[0306] Step 7:

[0307] The server receives the feedback data and performs analysis using data analysis means for improving the guiding means. Through this analysis, the accuracy of future instructions is improved. The output is a dataset of improved guiding means.

[0308] Furthermore, an emotion engine for estimating the user's emotion may be combined. That is, the specific processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform specific processing using the user's emotion.

[0309] The present invention is a system that supports the operation of a user's electronic device, and in particular, by incorporating an emotion engine, it provides advanced support that takes into account the user's emotional state. This system comprises monitoring means, natural language processing means, guidance means, visual guidance means, feedback analysis means, and an emotion engine.

[0310] The device monitors user actions in real time. If the user is unable to complete a specific action or if assistance is deemed necessary, an AI agent is activated. During user interaction, the emotion engine analyzes the user's current emotions using their voice tone and facial expression data. For example, if the user is showing signs of anxiety or frustration, the emotion engine takes this emotional state into account and provides this information to the guidance system.

[0311] The server analyzes the user's request for assistance using natural language processing and generates specific operating procedures based on that request. The generated procedures are sent to the terminal and presented to the user via an AI agent. Here, based on feedback from the emotion engine, the guidance system provides empathetic responses and assistance to the user, enhancing emotional support.

[0312] For example, consider a scenario where a user says, "I want to send a photo, but I can't." The device converts this audio into text and sends it to the server. The server generates instructions based on the analysis, providing guidance such as, "Open the gallery app, select the photo, and tap share." If the user's tone of voice indicates confusion or frustration, the instructions are adapted by becoming more detailed or adding gentler advice.

[0313] After the user completes a procedure, the device requests feedback on whether the operation was successful. This feedback, along with sentiment data detected by the sentiment engine, is sent to the server and used to improve the accuracy of future guidance and enhance the user experience. This system is important for providing attentive support to users and creating an environment where they can use electronic devices more comfortably.

[0314] The following describes the processing flow.

[0315] Step 1:

[0316] The device constantly monitors the user's actions and determines if the user is experiencing difficulty with a particular operation or if the operation is not being performed smoothly.

[0317] Step 2:

[0318] If the device determines that the user needs assistance, the AI ​​agent will activate, display a message such as "Can I help you?", and prepare to accept the assistance request.

[0319] Step 3:

[0320] When a user inputs a request for assistance, such as "I want to send a photo," via voice or text, the device passes this information to the emotion engine and begins sentiment analysis. Simultaneously, the request is converted into text data.

[0321] Step 4:

[0322] The device sends text data and sentiment data to the server. The server uses natural language processing to analyze the text data and generate operating procedures tailored to the user's purpose.

[0323] Step 5:

[0324] Based on the user's emotional state (e.g., tension, anxiety) analyzed by the emotion engine, the server adjusts the language and responses in the generated procedures. For example, if the user is showing anxiety, the procedures will be written in more relatable language.

[0325] Step 6:

[0326] The server sends the generated operating instructions to the terminal. The terminal, via an AI agent, visually guides the user through the operating instructions. This guidance includes detailed explanations for each step and highlighting of the screen interface.

[0327] Step 7:

[0328] Once the user follows the instructions and the task is completed, the device will ask the user for confirmation of success and their feedback.

[0329] Step 8:

[0330] The device records user feedback and emotional data obtained from the emotion engine to a server. This data will be used to improve future support features.

[0331] (Example 2)

[0332] 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".

[0333] When users operate electronic devices, there is a need to mitigate difficulties caused by unfamiliar operations or malfunctions, and to provide more effective and empathetic support. However, conventional systems often provide uniform responses without considering the user's emotions or the situation at hand, leading to unsatisfactory experiences for users. Therefore, there is a need to develop systems that understand the user's emotional state and can respond flexibly.

[0334] 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.

[0335] In this invention, the server includes observation means, language processing means, instruction means, emotion analysis means, and emotion response means. This enables flexible support that takes into account the user's emotional state while monitoring the user's operations, allowing the user to use electronic devices with peace of mind.

[0336] An "observation device" is a device that has the function of monitoring the user's operation of information devices in real time and determining whether the user is in need of assistance.

[0337] A "language processing device" is a device that analyzes support requests received from a user, interprets their content linguistically, and determines appropriate operating procedures.

[0338] A "command device" is a device that generates operating procedures based on user requests and provides specific operating instructions to the user according to those procedures.

[0339] An "emotional analysis device" is a device that analyzes the user's voice tone and facial expression data to determine the user's emotional state.

[0340] An "emotional response device" is a device that adjusts operation guidance based on emotional data obtained from an emotional analysis device, and provides support that is tailored to the user's emotions.

[0341] This invention is a system for effectively assisting users in operating information devices. In particular, it aims to provide more flexible support by taking into account the user's emotional state. The entire system consists of observation means, language processing means, instruction means, emotion analysis means, and emotion response means.

[0342] The terminal is equipped with observation means to monitor user operations in real time. These observation means use sensors and software to capture the user's operation status and immediately determine when assistance is needed.

[0343] The server analyzes the support requests received from the user using language processing tools. These tools employ natural language processing techniques to extract and understand specific requests from the user's words. A generative AI model supports this process, clarifying ambiguous user requests.

[0344] When a user encounters difficulties, the instruction system automatically generates operating procedures and guides the user through the terminal. This process also provides a user-friendly interface.

[0345] Furthermore, the device analyzes the user's voice tone and facial expressions through an emotion analysis mechanism to understand their emotional state. This allows the emotional response mechanism to adjust the generated instructions to match the user's emotional state. For example, if the user is showing anxiety, the instructions will be gentle and reassuring.

[0346] As a concrete example, consider a scenario where a user says, "I want to send a photo, but I can't do it properly." In this case, the device converts the voice into text and sends it to the server. The server uses language processing to analyze this request and provides specific instructions such as, "Open the gallery app, select the photo, and tap share."

[0347] By utilizing a generative AI model, an example of a prompt message could be, "If a user is experiencing difficulty operating an electronic device, how can we provide reassuring assistance?" This prompt message allows the system to better understand the user's needs and provide appropriate support.

[0348] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0349] Step 1:

[0350] The terminal monitors user actions in real time. Specifically, it uses sensors and input devices to detect user actions and collect data on them. Inputs include touch, voice commands, and gestures, and output is an operation log. This log includes information such as the time, type, and success or failure of the operation.

[0351] Step 2:

[0352] The device utilizes emotional analysis techniques to analyze the user's voice and facial expressions. Data acquired from the microphone and camera is input, and the user's emotional state is analyzed by an emotion analysis algorithm. The output of this process is metadata related to specific emotions (e.g., anxiety, frustration), which is used in subsequent processes.

[0353] Step 3:

[0354] The server receives a request for assistance from the user. The language processing system receives voice and text data from the user as input and interprets its content using a natural language processing engine. As a result, the output identifies specific actions or guidelines that the user is seeking.

[0355] Step 4:

[0356] The server generates operating procedures based on user requests. Here, the analyzed requests are used as input data, and a generation AI model is utilized to plan the actual operating procedures. The output is a list of specific steps the user should take (e.g., open the app, select a photo, press the send button).

[0357] Step 5:

[0358] The terminal presents the generated operating instructions to the user. It uses its display and audio output to provide visual or auditory guidance to the user. The input is the operating instructions from the server, and the output is user-friendly instructional information.

[0359] Step 6:

[0360] The user performs the operation according to the provided procedure and provides feedback after completing the operation. The input is the operation actually performed by the user and its result, and the output is feedback data regarding success or failure. This feedback is sent to the server for future use.

[0361] Through these steps, the system aims to improve the user experience by providing support tailored to the user's emotions and actions.

[0362] (Application Example 2)

[0363] 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 as the "terminal".

[0364] Traditional user interfaces provided standardized support without considering the user's emotional state, resulting in a lack of appropriate support for users experiencing anxiety or frustration during operation. Therefore, there is a growing need for emotionally responsive support systems that allow users to smoothly perform everyday tasks such as operating electronic devices and household chores without causing stress.

[0365] 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.

[0366] In this invention, the server includes monitoring means for monitoring the operation of the user's information processing device and determining that support is needed under specific conditions; language analysis means for receiving support requests from the user and interpreting their content; guidance means for generating operation procedures based on the user's requests and providing operation guidance to the user according to those procedures; emotion analysis means for analyzing the user's emotional state; and emotion adjustment means for making the operation guidance more responsive based on the emotional state. This enables detailed support that is tailored to the user's emotions.

[0367] "User" refers to an individual who operates an information processing device.

[0368] An "information processing device" refers to a device that performs electronic processing and provides an interface with the user through operation.

[0369] "Monitoring measures" refer to elements that continuously monitor user operations and have the function of determining whether assistance is needed in specific situations.

[0370] "Language analysis means" refers to technology that receives support requests from users in natural language, interprets their content, and extracts meaning.

[0371] "Guidance means" refers to a mechanism or function that provides appropriate operational guidance to the user according to the generated operating procedure.

[0372] "Emotional analysis methods" refer to technologies that detect and analyze a user's emotional state from their facial expressions and voice.

[0373] "Emotion adjustment means" refers to technology that adjusts the content and tone of guidance based on the detected emotional state, providing responses that are highly compatible with the user.

[0374] This invention provides a system in which an information processing device and a server work together to provide emotionally responsive support to a user. User operations are continuously monitored by the information processing device. The monitoring means evaluates various operations performed by the user on the device in real time, and if it is determined that support is needed, it sends a request to the server through the language analysis means.

[0375] The server interprets the support request sent by the user using natural language processing and generates specific action procedures based on the results. These procedures are delivered to the user through guidance means and guided visually or audibly. Here, an emotion analysis means collects the user's facial expressions and voice data and analyzes their emotional state, so that an emotion adjustment means adjusts the guidance content to be highly relatable to the user.

[0376] For example, if a user experiences confusion or anxiety while cooking, the information processing device can detect this emotional state using emotion analysis and notify the server. The server can then generate appropriate cooking instructions, display them clearly on the screen, and provide gentle voice guidance to encourage and support the user's confidence.

[0377] Within this system, the generative AI model is used for natural language processing and sentiment analysis, and an example of its prompt message is: "When the user shows a confused expression, please explain the support in gentle and friendly language." The goal is for the system to provide support in real time based on the user's direct needs and emotions.

[0378] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0379] Step 1:

[0380] The terminal monitors user actions in real time. It acquires user action logs and interface usage data as input, and processes this data to infer difficulties and user confusion during the current operation. The output generates a signal indicating whether assistance is needed.

[0381] Step 2:

[0382] Voice and facial expression data collected by the device are analyzed by emotion analysis tools. Voice tone and facial expression images are used as input, and the user's emotional state (e.g., confusion, dissatisfaction, relief, etc.) is evaluated through an emotion recognition algorithm. Data of the evaluated emotional state is generated as output.

[0383] Step 3:

[0384] The server interprets the content of the user's support request and emotional state data received from the terminal in detail using language analysis tools. The input is a textualized support request. Natural language processing is performed to generate specific support procedures as output.

[0385] Step 4:

[0386] The server creates user-friendly guidance content using guidance mechanisms, taking into account the generated operation procedures and emotion data. Operation procedure data and emotion evaluation data are used as input. Operation guidance is adjusted via emotion adjustment mechanisms, and the output is provided as an audio message or screen display guide.

[0387] Step 5:

[0388] The user attempts to perform the operation by following the provided instructions and procedures. The input is the guidance provided by the server, and the user performs the operation based on that guidance. The output is feedback data indicating whether the operation was successful and whether further assistance is needed.

[0389] Step 6:

[0390] The server analyzes user feedback and new sentiment data to update its generative AI model, improving the content and methods of future guidance. Feedback data is analyzed as input. An improved guidance strategy is formed as output, which is then used in subsequent interactions.

[0391] 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.

[0392] 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.

[0393] 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.

[0394] [Third Embodiment]

[0395] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0396] 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.

[0397] 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).

[0398] 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.

[0399] 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.

[0400] 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).

[0401] 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.

[0402] 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.

[0403] 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.

[0404] 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.

[0405] 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.

[0406] 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".

[0407] This invention is a system for supporting a user's operation of an electronic device. The terminal monitors the user's operation status in real time, and when it determines that the user needs assistance, an AI agent is activated. A natural language processing means installed in the terminal analyzes and understands the user's voice or text-based assistance request.

[0408] Based on the analysis results, the server generates specific operating procedures to be performed on the electronic device. These procedures are sent to the terminal and presented to the user via an AI agent. The guidance system assists the user by visually highlighting interface elements on the screen, enabling them to perform the operations according to the procedure. This allows the user to gradually and independently operate the electronic device.

[0409] As a concrete example, consider a case where a user wants to send a photo via email. When the user says, "I want to send a photo," the device converts the voice into text and sends it to the server. The server parses the text and generates the necessary steps to send the photo via email. These steps include opening the gallery app, selecting the photo, pressing the share button, and selecting the email app.

[0410] The device presents these steps to the user through an AI agent, visually guiding them through each step. Once the user completes all steps, the device requests feedback to confirm the operation was successful. The collected feedback is used to improve future guidance. This entire process allows users to learn how to operate electronic devices at their own pace and build confidence in their skills.

[0411] The following describes the processing flow.

[0412] Step 1:

[0413] The terminal monitors the user's electronic device operations in real time and determines that the user may need assistance if a specific operation is not performed within a certain period of time or if the operation is determined to have failed.

[0414] Step 2:

[0415] The device displays a message to confirm if the user needs assistance and prompts the user to make a request for assistance via voice or text. When the user gives an instruction, such as "I want to send a photo," the device converts the voice into text.

[0416] Step 3:

[0417] The terminal sends the converted text data to the server. The server uses natural language processing to analyze the user's request and identify the necessary steps.

[0418] Step 4:

[0419] Based on the analysis results, the server generates specific operational procedures to satisfy the user's request. For example, it might configure a procedure for sending a photo via email.

[0420] Step 5:

[0421] The server sends the generated operating instructions to the terminal. The terminal, via an AI agent, provides the user with a step-by-step guide for performing the operation.

[0422] Step 6:

[0423] The device visually highlights the relevant interface elements at each step of the guide, guiding the user to easily perform the next action.

[0424] Step 7:

[0425] Once the user completes all the steps according to the instructions, the device displays a message to the user confirming the success of the operation and requesting feedback.

[0426] Step 8:

[0427] The device sends feedback data collected from users to a server, and this data is used to improve future guides and AI agents.

[0428] (Example 1)

[0429] 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."

[0430] Modern electronic devices are multi-functional, which can sometimes make operation difficult for users. In particular, complex operations or unfamiliar tasks can easily confuse users, hindering efficient work performance. Furthermore, traditional systems often have static operation guides that are inadequate to meet individual user needs. Therefore, there is a need to develop systems that provide personalized and dynamic operational support tailored to user needs.

[0431] 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.

[0432] In this invention, the server includes monitoring means for collecting user operation status and activating an artificial intelligence agent when assistance is needed, means for interpreting the user's voice or text-based assistance requests with a natural language processing engine, and means using a generative AI model that automatically generates operation procedures based on the interpretation results and presents them to the user. This enables the user to receive personalized and dynamic assistance tailored to their own pace of operation.

[0433] "Monitoring measures" refer to functions that collect user activity in real time and determine whether assistance is needed.

[0434] An "artificial intelligence agent" is a software program that operates to assist user actions, providing the user with appropriate instructions and information depending on the situation.

[0435] A "natural language processing engine" refers to a processing unit that uses technology to analyze speech and text input from users and understand their intent and content.

[0436] A "generative AI model" refers to a machine learning model that automatically generates specific operating procedures based on a user's assistance request.

[0437] "Visual guidance means" refers to a function that visually emphasizes the operational elements on the screen, making it easier for users to understand the operating procedures.

[0438] "Feedback analysis means" refers to a function that analyzes feedback data obtained after user operation to improve the system's guidance performance.

[0439] This invention is a support system for users to efficiently operate electronic devices. The system consists of a terminal and a server.

[0440] The device is equipped with a microphone to receive the user's voice and a natural language processing engine to convert the voice into text. A speech recognition API is used for natural language processing, converting the voice data into text in real time. For example, if the user says, "I want to send a photo," that voice command is converted into text by the device.

[0441] The server has a generative AI model that receives textualized user requests and analyzes their content. This AI model is trained on machine learning algorithms and generates appropriate steps for responding to user requests. These steps are flexibly adjusted according to the user's requests. Specifically, steps such as "Open the gallery app, select a photo, press the share button, and select the email app" are generated.

[0442] The terminal displays the operating procedures sent from the server to the user on the screen. By visually highlighting important operating elements, it functions as a visual guide. This allows the user to reliably complete the task by following the presented operating procedures.

[0443] Upon completing an operation, the user provides feedback to the terminal. This feedback is sent to the server and used to improve the system's guidance performance through feedback analysis.

[0444] For example, if a user wants to send a photo via email from their smartphone, the system will issue a simple prompt such as "I want to send a photo via email." Based on this prompt, the system will automatically guide the user through the necessary steps, reducing the user's burden.

[0445] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0446] Step 1:

[0447] The terminal receives voice input from the user. Specifically, the terminal's microphone captures the user's voice commands. This voice data becomes the system's input. This voice data is converted into text data by the speech recognition software installed in the terminal. The output is the converted text data.

[0448] Step 2:

[0449] The terminal sends the acquired text data to the server. The server receives this text data and analyzes it using a natural language processing engine. This analysis process involves semantic analysis to understand the user's intent using the text data as input. The output is the analyzed user request.

[0450] Step 3:

[0451] The server generates specific operating procedures using a generative AI model based on the analyzed request. In this process, the AI ​​model infers the appropriate procedure from the input user request. The output is the generated operating procedure.

[0452] Step 4:

[0453] The server sends the generated operating procedure to the terminal. The terminal presents the received operating procedure to the user. The presentation method involves highlighting interface elements on the screen to allow the user to easily proceed step by step. The output is a visual presentation of the operating procedure to the user.

[0454] Step 5:

[0455] The user performs operations according to the device's guidance. The user performs physical actions according to the device's instructions, such as tapping the presented interface elements with their finger. This executes the user's input as an operation, and the intended task progresses on the electronic device.

[0456] Step 6:

[0457] The device collects feedback from the user after the operation is completed. This feedback includes information about whether the operation was successful and is provided by presenting simple options on the device's screen. The collected feedback is sent to the server.

[0458] Step 7:

[0459] The server analyzes the collected feedback and uses it to improve the system's guidance performance. The feedback data is processed as input, and this process outputs insights that will be useful for future improvements.

[0460] (Application Example 1)

[0461] 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."

[0462] With the advancement of modern information technology, operations using computer devices and smart devices are becoming increasingly complex. As a result, particularly in the field of electronic trading, users may become confused by the operation methods, making it difficult to complete transactions accurately and efficiently. There is a need for a system that can solve this problem and provide support to enable users to easily complete operations.

[0463] 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.

[0464] In this invention, the server includes monitoring means for monitoring the user's operations on the information processing device and determining that assistance is needed under specific conditions; natural language processing means for receiving assistance requests from the user and interpreting their content; guidance means for generating operation procedures based on the user's requests and guiding the user through those procedures; visualization means for highlighting visual elements necessary for executing the operation procedures; and data analysis means for collecting user experience inputs and analyzing the data to improve the performance of the guidance means. This enables users to intuitively perform electronic transactions and complex operations, resulting in a highly satisfying user experience.

[0465] A "user information processing device" is an electronic device primarily used by users to input and manipulate information.

[0466] "Monitoring means" refers to a device or software that has the function of observing the user's operation status in real time and determining the need for assistance when a specific state or condition is met.

[0467] "Natural language processing means" refers to a function that has a process for interpreting voice or text input from the user, understanding its meaning, and generating operation instructions.

[0468] "Means for generating operating procedures" refers to means for concretizing a series of related operations and clearly indicating the process in response to user requests.

[0469] "Guidance means" refers to a device or software that has the function of guiding the user to perform appropriate operations according to the generated operating procedures.

[0470] A "visualization means" is a means that visually highlights important elements on a user interface, enabling users to operate it without confusion.

[0471] "Data analysis means" refers to a device or software that analyzes feedback data collected from users and derives improvement measures to enhance the guidance performance of the system.

[0472] A system implementing this invention includes a program that implements multiple means to assist user operation. Its primary purpose is to make electronic devices easier for users to use, primarily through the use of information processing devices, servers, and AI agents.

[0473] The user's information processing device uses a microphone to receive voice input and utilizes speech recognition software to convert the speech into text. This converted text is then sent to a server via the network.

[0474] The server uses a generative AI model to analyze the received text. This model performs natural language processing, understands the user's intent, and formulates specific operating procedures. Based on these procedures, instructions are generated that appropriately highlight the visual elements of the user interface.

[0475] The AI ​​agent on the terminal guides the user through the generated steps. Important elements are highlighted on the screen using visualization techniques to help the user proceed smoothly. For example, when making a payment, the payment button can be highlighted.

[0476] After the user completes an operation, they provide feedback, which the server then uses to analyze the data for improvement. This data is then incorporated into future operation assistance, improving the accuracy of the guidance system.

[0477] As a concrete example, consider a case where a user attempts to make an electronic payment. If the user voice-inputs, "I want to pay this month's electricity bill," the server analyzes the intent, launches the payment app, and generates instructions to display the billing information. Then, each step is highlighted using visualization tools, allowing the user to proceed step by step.

[0478] Examples of prompts for the generated AI model include: "What specific assistance does the user need from the voice assistant during the electricity bill payment process?" and "What steps are necessary to support the payment of electricity bills?"

[0479] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0480] Step 1:

[0481] The user inputs voice. The device's microphone captures the user's voice and sends the data to speech recognition software. The input is raw voice data, and the output is the user's request in text format.

[0482] Step 2:

[0483] The device uses speech recognition software to convert speech data into text data. This is a process that analyzes speech data and generates text based on a language model. The output is text data that represents the user's intent.

[0484] Step 3:

[0485] The converted text data is sent from the terminal to the server. The server receives this text data and applies a generative AI model to understand your request. Here, the input is text data, and the output is the parsed user request.

[0486] Step 4:

[0487] The server generates specific operating procedures from the text analyzed using a generative AI model. Based on this prompt, the AI ​​model clarifies the expected procedure. The output is a series of specific operating steps.

[0488] Step 5:

[0489] The generated operation steps are sent from the server to the terminal. The terminal's AI agent receives them and creates visualizations to guide the user on the user interface. This visualization includes a process of highlighting interface elements. The output is a guide displayed on the user's screen.

[0490] Step 6:

[0491] The user performs the operation by following the visually guided steps provided by the device. Once the operation is complete, the system prompts the user for feedback. This feedback includes information about the final success or any errors.

[0492] Step 7:

[0493] The server receives feedback data and uses data analysis tools to analyze it in order to improve the guidance system. This analysis will improve the accuracy of future instructions. The output is a dataset of the improved guidance system.

[0494] 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.

[0495] The present invention is a system that supports the operation of a user's electronic device, and in particular, by incorporating an emotion engine, it provides advanced support that takes into account the user's emotional state. This system comprises monitoring means, natural language processing means, guidance means, visual guidance means, feedback analysis means, and an emotion engine.

[0496] The device monitors user actions in real time. If the user is unable to complete a specific action or if assistance is deemed necessary, an AI agent is activated. During user interaction, the emotion engine analyzes the user's current emotions using their voice tone and facial expression data. For example, if the user is showing signs of anxiety or frustration, the emotion engine takes this emotional state into account and provides this information to the guidance system.

[0497] The server analyzes the user's request for assistance using natural language processing and generates specific operating procedures based on that request. The generated procedures are sent to the terminal and presented to the user via an AI agent. Here, based on feedback from the emotion engine, the guidance system provides empathetic responses and assistance to the user, enhancing emotional support.

[0498] For example, consider a scenario where a user says, "I want to send a photo, but I can't." The device converts this audio into text and sends it to the server. The server generates instructions based on the analysis, providing guidance such as, "Open the gallery app, select the photo, and tap share." If the user's tone of voice indicates confusion or frustration, the instructions are adapted by becoming more detailed or adding gentler advice.

[0499] After the user completes a procedure, the device requests feedback on whether the operation was successful. This feedback, along with sentiment data detected by the sentiment engine, is sent to the server and used to improve the accuracy of future guidance and enhance the user experience. This system is important for providing attentive support to users and creating an environment where they can use electronic devices more comfortably.

[0500] The following describes the processing flow.

[0501] Step 1:

[0502] The device constantly monitors the user's actions and determines if the user is experiencing difficulty with a particular operation or if the operation is not being performed smoothly.

[0503] Step 2:

[0504] If the device determines that the user needs assistance, the AI ​​agent will activate, display a message such as "Can I help you?", and prepare to accept the assistance request.

[0505] Step 3:

[0506] When a user inputs a request for assistance, such as "I want to send a photo," via voice or text, the device passes this information to the emotion engine and begins sentiment analysis. Simultaneously, the request is converted into text data.

[0507] Step 4:

[0508] The device sends text data and sentiment data to the server. The server uses natural language processing to analyze the text data and generate operating procedures tailored to the user's purpose.

[0509] Step 5:

[0510] Based on the user's emotional state (e.g., tension, anxiety) analyzed by the emotion engine, the server adjusts the language and responses in the generated procedures. For example, if the user is showing anxiety, the procedures will be written in more relatable language.

[0511] Step 6:

[0512] The server sends the generated operating instructions to the terminal. The terminal, via an AI agent, visually guides the user through the operating instructions. This guidance includes detailed explanations for each step and highlighting of the screen interface.

[0513] Step 7:

[0514] Once the user follows the instructions and the task is completed, the device will ask the user for confirmation of success and their feedback.

[0515] Step 8:

[0516] The device records user feedback and emotional data obtained from the emotion engine to a server. This data will be used to improve future support features.

[0517] (Example 2)

[0518] 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."

[0519] When users operate electronic devices, there is a need to mitigate difficulties caused by unfamiliar operations or malfunctions, and to provide more effective and empathetic support. However, conventional systems often provide uniform responses without considering the user's emotions or the situation at hand, leading to unsatisfactory experiences for users. Therefore, there is a need to develop systems that understand the user's emotional state and can respond flexibly.

[0520] 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.

[0521] In this invention, the server includes observation means, language processing means, instruction means, emotion analysis means, and emotion response means. This enables flexible support that takes into account the user's emotional state while monitoring the user's operations, allowing the user to use electronic devices with peace of mind.

[0522] An "observation device" is a device that has the function of monitoring the user's operation of information devices in real time and determining whether the user is in need of assistance.

[0523] A "language processing device" is a device that analyzes support requests received from a user, interprets their content linguistically, and determines appropriate operating procedures.

[0524] A "command device" is a device that generates operating procedures based on user requests and provides specific operating instructions to the user according to those procedures.

[0525] An "emotional analysis device" is a device that analyzes the user's voice tone and facial expression data to determine the user's emotional state.

[0526] An "emotional response device" is a device that adjusts operation guidance based on emotional data obtained from an emotional analysis device, and provides support that is tailored to the user's emotions.

[0527] This invention is a system for effectively assisting users in operating information devices. In particular, it aims to provide more flexible support by taking into account the user's emotional state. The entire system consists of observation means, language processing means, instruction means, emotion analysis means, and emotion response means.

[0528] The terminal is equipped with observation means to monitor user operations in real time. These observation means use sensors and software to capture the user's operation status and immediately determine when assistance is needed.

[0529] The server analyzes the support requests received from the user using language processing tools. These tools employ natural language processing techniques to extract and understand specific requests from the user's words. A generative AI model supports this process, clarifying ambiguous user requests.

[0530] When a user encounters difficulties, the instruction system automatically generates operating procedures and guides the user through the terminal. This process also provides a user-friendly interface.

[0531] Furthermore, the device analyzes the user's voice tone and facial expressions through an emotion analysis mechanism to understand their emotional state. This allows the emotional response mechanism to adjust the generated instructions to match the user's emotional state. For example, if the user is showing anxiety, the instructions will be gentle and reassuring.

[0532] As a concrete example, consider a scenario where a user says, "I want to send a photo, but I can't do it properly." In this case, the device converts the voice into text and sends it to the server. The server uses language processing to analyze this request and provides specific instructions such as, "Open the gallery app, select the photo, and tap share."

[0533] By utilizing a generative AI model, an example of a prompt message could be, "If a user is experiencing difficulty operating an electronic device, how can we provide reassuring assistance?" This prompt message allows the system to better understand the user's needs and provide appropriate support.

[0534] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0535] Step 1:

[0536] The terminal monitors user actions in real time. Specifically, it uses sensors and input devices to detect user actions and collect data on them. Inputs include touch, voice commands, and gestures, and output is an operation log. This log includes information such as the time, type, and success or failure of the operation.

[0537] Step 2:

[0538] The device utilizes emotional analysis techniques to analyze the user's voice and facial expressions. Data acquired from the microphone and camera is input, and the user's emotional state is analyzed by an emotion analysis algorithm. The output of this process is metadata related to specific emotions (e.g., anxiety, frustration), which is used in subsequent processes.

[0539] Step 3:

[0540] The server receives a request for assistance from the user. The language processing system receives voice and text data from the user as input and interprets its content using a natural language processing engine. As a result, the output identifies specific actions or guidelines that the user is seeking.

[0541] Step 4:

[0542] The server generates operating procedures based on user requests. Here, the analyzed requests are used as input data, and a generation AI model is utilized to plan the actual operating procedures. The output is a list of specific steps the user should take (e.g., open the app, select a photo, press the send button).

[0543] Step 5:

[0544] The terminal presents the generated operating instructions to the user. It uses its display and audio output to provide visual or auditory guidance to the user. The input is the operating instructions from the server, and the output is user-friendly instructional information.

[0545] Step 6:

[0546] The user performs the operation according to the provided procedure and provides feedback after completing the operation. The input is the operation actually performed by the user and its result, and the output is feedback data regarding success or failure. This feedback is sent to the server for future use.

[0547] Through these steps, the system aims to improve the user experience by providing support tailored to the user's emotions and actions.

[0548] (Application Example 2)

[0549] 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."

[0550] Traditional user interfaces provided standardized support without considering the user's emotional state, resulting in a lack of appropriate support for users experiencing anxiety or frustration during operation. Therefore, there is a growing need for emotionally responsive support systems that allow users to smoothly perform everyday tasks such as operating electronic devices and household chores without causing stress.

[0551] 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.

[0552] In this invention, the server includes monitoring means for monitoring the operation of the user's information processing device and determining that support is needed under specific conditions; language analysis means for receiving support requests from the user and interpreting their content; guidance means for generating operation procedures based on the user's requests and providing operation guidance to the user according to those procedures; emotion analysis means for analyzing the user's emotional state; and emotion adjustment means for making the operation guidance more responsive based on the emotional state. This enables detailed support that is tailored to the user's emotions.

[0553] "User" refers to an individual who operates an information processing device.

[0554] An "information processing device" refers to a device that performs electronic processing and provides an interface with the user through operation.

[0555] "Monitoring measures" refer to elements that continuously monitor user operations and have the function of determining whether assistance is needed in specific situations.

[0556] "Language analysis means" refers to technology that receives support requests from users in natural language, interprets their content, and extracts meaning.

[0557] "Guidance means" refers to a mechanism or function that provides appropriate operational guidance to the user according to the generated operating procedure.

[0558] "Emotional analysis methods" refer to technologies that detect and analyze a user's emotional state from their facial expressions and voice.

[0559] "Emotion adjustment means" refers to technology that adjusts the content and tone of guidance based on the detected emotional state, providing responses that are highly compatible with the user.

[0560] This invention provides a system in which an information processing device and a server work together to provide emotionally responsive support to a user. User operations are continuously monitored by the information processing device. The monitoring means evaluates various operations performed by the user on the device in real time, and if it is determined that support is needed, it sends a request to the server through the language analysis means.

[0561] The server interprets the support request sent by the user using natural language processing and generates specific action procedures based on the results. These procedures are delivered to the user through guidance means and guided visually or audibly. Here, an emotion analysis means collects the user's facial expressions and voice data and analyzes their emotional state, so that an emotion adjustment means adjusts the guidance content to be highly relatable to the user.

[0562] For example, if a user experiences confusion or anxiety while cooking, the information processing device can detect this emotional state using emotion analysis and notify the server. The server can then generate appropriate cooking instructions, display them clearly on the screen, and provide gentle voice guidance to encourage and support the user's confidence.

[0563] Within this system, the generative AI model is used for natural language processing and sentiment analysis, and an example of its prompt message is: "When the user shows a confused expression, please explain the support in gentle and friendly language." The goal is for the system to provide support in real time based on the user's direct needs and emotions.

[0564] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0565] Step 1:

[0566] The terminal monitors user actions in real time. It acquires user action logs and interface usage data as input, and processes this data to infer difficulties and user confusion during the current operation. The output generates a signal indicating whether assistance is needed.

[0567] Step 2:

[0568] Voice and facial expression data collected by the device are analyzed by emotion analysis tools. Voice tone and facial expression images are used as input, and the user's emotional state (e.g., confusion, dissatisfaction, relief, etc.) is evaluated through an emotion recognition algorithm. Data of the evaluated emotional state is generated as output.

[0569] Step 3:

[0570] The server interprets the content of the user's support request and emotional state data received from the terminal in detail using language analysis tools. The input is a textualized support request. Natural language processing is performed to generate specific support procedures as output.

[0571] Step 4:

[0572] The server creates user-friendly guidance content using guidance mechanisms, taking into account the generated operation procedures and emotion data. Operation procedure data and emotion evaluation data are used as input. Operation guidance is adjusted via emotion adjustment mechanisms, and the output is provided as an audio message or screen display guide.

[0573] Step 5:

[0574] The user attempts to perform the operation by following the provided instructions and procedures. The input is the guidance provided by the server, and the user performs the operation based on that guidance. The output is feedback data indicating whether the operation was successful and whether further assistance is needed.

[0575] Step 6:

[0576] The server analyzes user feedback and new sentiment data to update its generative AI model, improving the content and methods of future guidance. Feedback data is analyzed as input. An improved guidance strategy is formed as output, which is then used in subsequent interactions.

[0577] 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.

[0578] 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.

[0579] 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.

[0580] [Fourth Embodiment]

[0581] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0582] 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.

[0583] 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).

[0584] 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.

[0585] 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.

[0586] 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).

[0587] 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.

[0588] 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.

[0589] 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.

[0590] 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.

[0591] 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.

[0592] 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.

[0593] 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".

[0594] This invention is a system for supporting a user's operation of an electronic device. The terminal monitors the user's operation status in real time, and when it determines that the user needs assistance, an AI agent is activated. A natural language processing means installed in the terminal analyzes and understands the user's voice or text-based assistance request.

[0595] Based on the analysis results, the server generates specific operating procedures to be performed on the electronic device. These procedures are sent to the terminal and presented to the user via an AI agent. The guidance system assists the user by visually highlighting interface elements on the screen, enabling them to perform the operations according to the procedure. This allows the user to gradually and independently operate the electronic device.

[0596] As a concrete example, consider a case where a user wants to send a photo via email. When the user says, "I want to send a photo," the device converts the voice into text and sends it to the server. The server parses the text and generates the necessary steps to send the photo via email. These steps include opening the gallery app, selecting the photo, pressing the share button, and selecting the email app.

[0597] The device presents these steps to the user through an AI agent, visually guiding them through each step. Once the user completes all steps, the device requests feedback to confirm the operation was successful. The collected feedback is used to improve future guidance. This entire process allows users to learn how to operate electronic devices at their own pace and build confidence in their skills.

[0598] The following describes the processing flow.

[0599] Step 1:

[0600] The terminal monitors the user's electronic device operations in real time and determines that the user may need assistance if a specific operation is not performed within a certain period of time or if the operation is determined to have failed.

[0601] Step 2:

[0602] The device displays a message to confirm if the user needs assistance and prompts the user to make a request for assistance via voice or text. When the user gives an instruction, such as "I want to send a photo," the device converts the voice into text.

[0603] Step 3:

[0604] The terminal sends the converted text data to the server. The server uses natural language processing to analyze the user's request and identify the necessary steps.

[0605] Step 4:

[0606] Based on the analysis results, the server generates specific operational procedures to satisfy the user's request. For example, it might configure a procedure for sending a photo via email.

[0607] Step 5:

[0608] The server sends the generated operating instructions to the terminal. The terminal, via an AI agent, provides the user with a step-by-step guide for performing the operation.

[0609] Step 6:

[0610] The device visually highlights the relevant interface elements at each step of the guide, guiding the user to easily perform the next action.

[0611] Step 7:

[0612] Once the user completes all the steps according to the instructions, the device displays a message to the user confirming the success of the operation and requesting feedback.

[0613] Step 8:

[0614] The device sends feedback data collected from users to a server, and this data is used to improve future guides and AI agents.

[0615] (Example 1)

[0616] 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".

[0617] Modern electronic devices are multi-functional, which can sometimes make operation difficult for users. In particular, complex operations or unfamiliar tasks can easily confuse users, hindering efficient work performance. Furthermore, traditional systems often have static operation guides that are inadequate to meet individual user needs. Therefore, there is a need to develop systems that provide personalized and dynamic operational support tailored to user needs.

[0618] 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.

[0619] In this invention, the server includes monitoring means for collecting user operation status and activating an artificial intelligence agent when assistance is needed, means for interpreting the user's voice or text-based assistance requests with a natural language processing engine, and means using a generative AI model that automatically generates operation procedures based on the interpretation results and presents them to the user. This enables the user to receive personalized and dynamic assistance tailored to their own pace of operation.

[0620] "Monitoring measures" refer to functions that collect user activity in real time and determine whether assistance is needed.

[0621] An "artificial intelligence agent" is a software program that operates to assist user actions, providing the user with appropriate instructions and information depending on the situation.

[0622] A "natural language processing engine" refers to a processing unit that uses technology to analyze speech and text input from users and understand their intent and content.

[0623] A "generative AI model" refers to a machine learning model that automatically generates specific operating procedures based on a user's assistance request.

[0624] "Visual guidance means" refers to a function that visually emphasizes the operational elements on the screen, making it easier for users to understand the operating procedures.

[0625] "Feedback analysis means" refers to a function that analyzes feedback data obtained after user operation to improve the system's guidance performance.

[0626] This invention is a support system for users to efficiently operate electronic devices. The system consists of a terminal and a server.

[0627] The device is equipped with a microphone to receive the user's voice and a natural language processing engine to convert the voice into text. A speech recognition API is used for natural language processing, converting the voice data into text in real time. For example, if the user says, "I want to send a photo," that voice command is converted into text by the device.

[0628] The server has a generative AI model that receives textualized user requests and analyzes their content. This AI model is trained on machine learning algorithms and generates appropriate steps for responding to user requests. These steps are flexibly adjusted according to the user's requests. Specifically, steps such as "Open the gallery app, select a photo, press the share button, and select the email app" are generated.

[0629] The terminal displays the operating procedures sent from the server to the user on the screen. By visually highlighting important operating elements, it functions as a visual guide. This allows the user to reliably complete the task by following the presented operating procedures.

[0630] Upon completing an operation, the user provides feedback to the terminal. This feedback is sent to the server and used to improve the system's guidance performance through feedback analysis.

[0631] For example, if a user wants to send a photo via email from their smartphone, the system will issue a simple prompt such as "I want to send a photo via email." Based on this prompt, the system will automatically guide the user through the necessary steps, reducing the user's burden.

[0632] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0633] Step 1:

[0634] The terminal receives voice input from the user. Specifically, the terminal's microphone captures the user's voice commands. This voice data becomes the system's input. This voice data is converted into text data by the speech recognition software installed in the terminal. The output is the converted text data.

[0635] Step 2:

[0636] The terminal sends the acquired text data to the server. The server receives this text data and analyzes it using a natural language processing engine. This analysis process involves semantic analysis to understand the user's intent using the text data as input. The output is the analyzed user request.

[0637] Step 3:

[0638] The server generates specific operating procedures using a generative AI model based on the analyzed request. In this process, the AI ​​model infers the appropriate procedure from the input user request. The output is the generated operating procedure.

[0639] Step 4:

[0640] The server sends the generated operating procedure to the terminal. The terminal presents the received operating procedure to the user. The presentation method involves highlighting interface elements on the screen to allow the user to easily proceed step by step. The output is a visual presentation of the operating procedure to the user.

[0641] Step 5:

[0642] The user performs operations according to the device's guidance. The user performs physical actions according to the device's instructions, such as tapping the presented interface elements with their finger. This executes the user's input as an operation, and the intended task progresses on the electronic device.

[0643] Step 6:

[0644] The device collects feedback from the user after the operation is completed. This feedback includes information about whether the operation was successful and is provided by presenting simple options on the device's screen. The collected feedback is sent to the server.

[0645] Step 7:

[0646] The server analyzes the collected feedback and uses it to improve the system's guidance performance. The feedback data is processed as input, and this process outputs insights that will be useful for future improvements.

[0647] (Application Example 1)

[0648] 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".

[0649] With the advancement of modern information technology, operations using computer devices and smart devices are becoming increasingly complex. As a result, particularly in the field of electronic trading, users may become confused by the operation methods, making it difficult to complete transactions accurately and efficiently. There is a need for a system that can solve this problem and provide support to enable users to easily complete operations.

[0650] 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.

[0651] In this invention, the server includes monitoring means for monitoring the user's operations on the information processing device and determining that assistance is needed under specific conditions; natural language processing means for receiving assistance requests from the user and interpreting their content; guidance means for generating operation procedures based on the user's requests and guiding the user through those procedures; visualization means for highlighting visual elements necessary for executing the operation procedures; and data analysis means for collecting user experience inputs and analyzing the data to improve the performance of the guidance means. This enables users to intuitively perform electronic transactions and complex operations, resulting in a highly satisfying user experience.

[0652] A "user information processing device" is an electronic device primarily used by users to input and manipulate information.

[0653] "Monitoring means" refers to a device or software that has the function of observing the user's operation status in real time and determining the need for assistance when a specific state or condition is met.

[0654] "Natural language processing means" refers to a function that has a process for interpreting voice or text input from the user, understanding its meaning, and generating operation instructions.

[0655] "Means for generating operating procedures" refers to means for concretizing a series of related operations and clearly indicating the process in response to user requests.

[0656] "Guidance means" refers to a device or software that has the function of guiding the user to perform appropriate operations according to the generated operating procedures.

[0657] A "visualization means" is a means that visually highlights important elements on a user interface, enabling users to operate it without confusion.

[0658] "Data analysis means" refers to a device or software that analyzes feedback data collected from users and derives improvement measures to enhance the guidance performance of the system.

[0659] A system implementing this invention includes a program that implements multiple means to assist user operation. Its primary purpose is to make electronic devices easier for users to use, primarily through the use of information processing devices, servers, and AI agents.

[0660] The user's information processing device uses a microphone to receive voice input and utilizes speech recognition software to convert the speech into text. This converted text is then sent to a server via the network.

[0661] The server uses a generative AI model to analyze the received text. This model performs natural language processing, understands the user's intent, and formulates specific operating procedures. Based on these procedures, instructions are generated that appropriately highlight the visual elements of the user interface.

[0662] The AI ​​agent on the terminal guides the user through the generated steps. Important elements are highlighted on the screen using visualization techniques to help the user proceed smoothly. For example, when making a payment, the payment button can be highlighted.

[0663] After the user completes an operation, they provide feedback, which the server then uses to analyze the data for improvement. This data is then incorporated into future operation assistance, improving the accuracy of the guidance system.

[0664] As a concrete example, consider a case where a user attempts to make an electronic payment. If the user voice-inputs, "I want to pay this month's electricity bill," the server analyzes the intent, launches the payment app, and generates instructions to display the billing information. Then, each step is highlighted using visualization tools, allowing the user to proceed step by step.

[0665] Examples of prompts for the generated AI model include: "What specific assistance does the user need from the voice assistant during the electricity bill payment process?" and "What steps are necessary to support the payment of electricity bills?"

[0666] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0667] Step 1:

[0668] The user inputs voice. The device's microphone captures the user's voice and sends the data to speech recognition software. The input is raw voice data, and the output is the user's request in text format.

[0669] Step 2:

[0670] The device uses speech recognition software to convert speech data into text data. This is a process that analyzes speech data and generates text based on a language model. The output is text data that represents the user's intent.

[0671] Step 3:

[0672] The converted text data is sent from the terminal to the server. The server receives this text data and applies a generative AI model to understand your request. Here, the input is text data, and the output is the parsed user request.

[0673] Step 4:

[0674] The server generates specific operating procedures from the text analyzed using a generative AI model. Based on this prompt, the AI ​​model clarifies the expected procedure. The output is a series of specific operating steps.

[0675] Step 5:

[0676] The generated operation steps are sent from the server to the terminal. The terminal's AI agent receives them and creates visualizations to guide the user on the user interface. This visualization includes a process of highlighting interface elements. The output is a guide displayed on the user's screen.

[0677] Step 6:

[0678] The user performs the operation by following the visually guided steps provided by the device. Once the operation is complete, the system prompts the user for feedback. This feedback includes information about the final success or any errors.

[0679] Step 7:

[0680] The server receives feedback data and uses data analysis tools to analyze it in order to improve the guidance system. This analysis will improve the accuracy of future instructions. The output is a dataset of the improved guidance system.

[0681] 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.

[0682] The present invention is a system that supports the operation of a user's electronic device, and in particular, by incorporating an emotion engine, it provides advanced support that takes into account the user's emotional state. This system comprises monitoring means, natural language processing means, guidance means, visual guidance means, feedback analysis means, and an emotion engine.

[0683] The device monitors user actions in real time. If the user is unable to complete a specific action or if assistance is deemed necessary, an AI agent is activated. During user interaction, the emotion engine analyzes the user's current emotions using their voice tone and facial expression data. For example, if the user is showing signs of anxiety or frustration, the emotion engine takes this emotional state into account and provides this information to the guidance system.

[0684] The server analyzes the user's request for assistance using natural language processing and generates specific operating procedures based on that request. The generated procedures are sent to the terminal and presented to the user via an AI agent. Here, based on feedback from the emotion engine, the guidance system provides empathetic responses and assistance to the user, enhancing emotional support.

[0685] For example, consider a scenario where a user says, "I want to send a photo, but I can't." The device converts this audio into text and sends it to the server. The server generates instructions based on the analysis, providing guidance such as, "Open the gallery app, select the photo, and tap share." If the user's tone of voice indicates confusion or frustration, the instructions are adapted by becoming more detailed or adding gentler advice.

[0686] After the user completes a procedure, the device requests feedback on whether the operation was successful. This feedback, along with sentiment data detected by the sentiment engine, is sent to the server and used to improve the accuracy of future guidance and enhance the user experience. This system is important for providing attentive support to users and creating an environment where they can use electronic devices more comfortably.

[0687] The following describes the processing flow.

[0688] Step 1:

[0689] The device constantly monitors the user's actions and determines if the user is experiencing difficulty with a particular operation or if the operation is not being performed smoothly.

[0690] Step 2:

[0691] If the device determines that the user needs assistance, the AI ​​agent will activate, display a message such as "Can I help you?", and prepare to accept the assistance request.

[0692] Step 3:

[0693] When a user inputs a request for assistance, such as "I want to send a photo," via voice or text, the device passes this information to the emotion engine and begins sentiment analysis. Simultaneously, the request is converted into text data.

[0694] Step 4:

[0695] The device sends text data and sentiment data to the server. The server uses natural language processing to analyze the text data and generate operating procedures tailored to the user's purpose.

[0696] Step 5:

[0697] Based on the user's emotional state (e.g., tension, anxiety) analyzed by the emotion engine, the server adjusts the language and responses in the generated procedures. For example, if the user is showing anxiety, the procedures will be written in more relatable language.

[0698] Step 6:

[0699] The server sends the generated operating instructions to the terminal. The terminal, via an AI agent, visually guides the user through the operating instructions. This guidance includes detailed explanations for each step and highlighting of the screen interface.

[0700] Step 7:

[0701] Once the user follows the instructions and the task is completed, the device will ask the user for confirmation of success and their feedback.

[0702] Step 8:

[0703] The device records user feedback and emotional data obtained from the emotion engine to a server. This data will be used to improve future support features.

[0704] (Example 2)

[0705] 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".

[0706] When users operate electronic devices, there is a need to mitigate difficulties caused by unfamiliar operations or malfunctions, and to provide more effective and empathetic support. However, conventional systems often provide uniform responses without considering the user's emotions or the situation at hand, leading to unsatisfactory experiences for users. Therefore, there is a need to develop systems that understand the user's emotional state and can respond flexibly.

[0707] 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.

[0708] In this invention, the server includes observation means, language processing means, instruction means, emotion analysis means, and emotion response means. This enables flexible support that takes into account the user's emotional state while monitoring the user's operations, allowing the user to use electronic devices with peace of mind.

[0709] An "observation device" is a device that has the function of monitoring the user's operation of information devices in real time and determining whether the user is in need of assistance.

[0710] A "language processing device" is a device that analyzes support requests received from a user, interprets their content linguistically, and determines appropriate operating procedures.

[0711] A "command device" is a device that generates operating procedures based on user requests and provides specific operating instructions to the user according to those procedures.

[0712] An "emotional analysis device" is a device that analyzes the user's voice tone and facial expression data to determine the user's emotional state.

[0713] An "emotional response device" is a device that adjusts operation guidance based on emotional data obtained from an emotional analysis device, and provides support that is tailored to the user's emotions.

[0714] This invention is a system for effectively assisting users in operating information devices. In particular, it aims to provide more flexible support by taking into account the user's emotional state. The entire system consists of observation means, language processing means, instruction means, emotion analysis means, and emotion response means.

[0715] The terminal is equipped with observation means to monitor user operations in real time. These observation means use sensors and software to capture the user's operation status and immediately determine when assistance is needed.

[0716] The server analyzes the support requests received from the user using language processing tools. These tools employ natural language processing techniques to extract and understand specific requests from the user's words. A generative AI model supports this process, clarifying ambiguous user requests.

[0717] When a user encounters difficulties, the instruction system automatically generates operating procedures and guides the user through the terminal. This process also provides a user-friendly interface.

[0718] Furthermore, the device analyzes the user's voice tone and facial expressions through an emotion analysis mechanism to understand their emotional state. This allows the emotional response mechanism to adjust the generated instructions to match the user's emotional state. For example, if the user is showing anxiety, the instructions will be gentle and reassuring.

[0719] As a concrete example, consider a scenario where a user says, "I want to send a photo, but I can't do it properly." In this case, the device converts the voice into text and sends it to the server. The server uses language processing to analyze this request and provides specific instructions such as, "Open the gallery app, select the photo, and tap share."

[0720] By utilizing a generative AI model, an example of a prompt message could be, "If a user is experiencing difficulty operating an electronic device, how can we provide reassuring assistance?" This prompt message allows the system to better understand the user's needs and provide appropriate support.

[0721] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0722] Step 1:

[0723] The terminal monitors user actions in real time. Specifically, it uses sensors and input devices to detect user actions and collect data on them. Inputs include touch, voice commands, and gestures, and output is an operation log. This log includes information such as the time, type, and success or failure of the operation.

[0724] Step 2:

[0725] The device utilizes emotional analysis techniques to analyze the user's voice and facial expressions. Data acquired from the microphone and camera is input, and the user's emotional state is analyzed by an emotion analysis algorithm. The output of this process is metadata related to specific emotions (e.g., anxiety, frustration), which is used in subsequent processes.

[0726] Step 3:

[0727] The server receives a request for assistance from the user. The language processing system receives voice and text data from the user as input and interprets its content using a natural language processing engine. As a result, the output identifies specific actions or guidelines that the user is seeking.

[0728] Step 4:

[0729] The server generates operating procedures based on user requests. Here, the analyzed requests are used as input data, and a generation AI model is utilized to plan the actual operating procedures. The output is a list of specific steps the user should take (e.g., open the app, select a photo, press the send button).

[0730] Step 5:

[0731] The terminal presents the generated operating instructions to the user. It uses its display and audio output to provide visual or auditory guidance to the user. The input is the operating instructions from the server, and the output is user-friendly instructional information.

[0732] Step 6:

[0733] The user performs the operation according to the provided procedure and provides feedback after completing the operation. The input is the operation actually performed by the user and its result, and the output is feedback data regarding success or failure. This feedback is sent to the server for future use.

[0734] Through these steps, the system aims to improve the user experience by providing support tailored to the user's emotions and actions.

[0735] (Application Example 2)

[0736] 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".

[0737] Traditional user interfaces provided standardized support without considering the user's emotional state, resulting in a lack of appropriate support for users experiencing anxiety or frustration during operation. Therefore, there is a growing need for emotionally responsive support systems that allow users to smoothly perform everyday tasks such as operating electronic devices and household chores without causing stress.

[0738] 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.

[0739] In this invention, the server includes monitoring means for monitoring the operation of the user's information processing device and determining that support is needed under specific conditions; language analysis means for receiving support requests from the user and interpreting their content; guidance means for generating operation procedures based on the user's requests and providing operation guidance to the user according to those procedures; emotion analysis means for analyzing the user's emotional state; and emotion adjustment means for making the operation guidance more responsive based on the emotional state. This enables detailed support that is tailored to the user's emotions.

[0740] "User" refers to an individual who operates an information processing device.

[0741] An "information processing device" refers to a device that performs electronic processing and provides an interface with the user through operation.

[0742] "Monitoring measures" refer to elements that continuously monitor user operations and have the function of determining whether assistance is needed in specific situations.

[0743] "Language analysis means" refers to technology that receives support requests from users in natural language, interprets their content, and extracts meaning.

[0744] "Guidance means" refers to a mechanism or function that provides appropriate operational guidance to the user according to the generated operating procedure.

[0745] "Emotional analysis methods" refer to technologies that detect and analyze a user's emotional state from their facial expressions and voice.

[0746] "Emotion adjustment means" refers to technology that adjusts the content and tone of guidance based on the detected emotional state, providing responses that are highly compatible with the user.

[0747] This invention provides a system in which an information processing device and a server work together to provide emotionally responsive support to a user. User operations are continuously monitored by the information processing device. The monitoring means evaluates various operations performed by the user on the device in real time, and if it is determined that support is needed, it sends a request to the server through the language analysis means.

[0748] The server interprets the support request sent by the user using natural language processing and generates specific action procedures based on the results. These procedures are delivered to the user through guidance means and guided visually or audibly. Here, an emotion analysis means collects the user's facial expressions and voice data and analyzes their emotional state, so that an emotion adjustment means adjusts the guidance content to be highly relatable to the user.

[0749] For example, if a user experiences confusion or anxiety while cooking, the information processing device can detect this emotional state using emotion analysis and notify the server. The server can then generate appropriate cooking instructions, display them clearly on the screen, and provide gentle voice guidance to encourage and support the user's confidence.

[0750] Within this system, the generative AI model is used for natural language processing and sentiment analysis, and an example of its prompt message is: "When the user shows a confused expression, please explain the support in gentle and friendly language." The goal is for the system to provide support in real time based on the user's direct needs and emotions.

[0751] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0752] Step 1:

[0753] The terminal monitors user actions in real time. It acquires user action logs and interface usage data as input, and processes this data to infer difficulties and user confusion during the current operation. The output generates a signal indicating whether assistance is needed.

[0754] Step 2:

[0755] Voice and facial expression data collected by the device are analyzed by emotion analysis tools. Voice tone and facial expression images are used as input, and the user's emotional state (e.g., confusion, dissatisfaction, relief, etc.) is evaluated through an emotion recognition algorithm. Data of the evaluated emotional state is generated as output.

[0756] Step 3:

[0757] The server interprets the content of the user's support request and emotional state data received from the terminal in detail using language analysis tools. The input is a textualized support request. Natural language processing is performed to generate specific support procedures as output.

[0758] Step 4:

[0759] The server creates user-friendly guidance content using guidance mechanisms, taking into account the generated operation procedures and emotion data. Operation procedure data and emotion evaluation data are used as input. Operation guidance is adjusted via emotion adjustment mechanisms, and the output is provided as an audio message or screen display guide.

[0760] Step 5:

[0761] The user attempts to perform the operation by following the provided instructions and procedures. The input is the guidance provided by the server, and the user performs the operation based on that guidance. The output is feedback data indicating whether the operation was successful and whether further assistance is needed.

[0762] Step 6:

[0763] The server analyzes user feedback and new sentiment data to update its generative AI model, improving the content and methods of future guidance. Feedback data is analyzed as input. An improved guidance strategy is formed as output, which is then used in subsequent interactions.

[0764] 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.

[0765] 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.

[0766] 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.

[0767] 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.

[0768] 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.

[0769] 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.

[0770] 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.

[0771] 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.

[0772] 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."

[0773] 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.

[0774] 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.

[0775] 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.

[0776] 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.

[0777] 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.

[0778] 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.

[0779] 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.

[0780] 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.

[0781] 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.

[0782] 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.

[0783] 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.

[0784] 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.

[0785] The following is further disclosed regarding the embodiments described above.

[0786] (Claim 1)

[0787] A monitoring means that monitors the operation of a user's electronic device and determines that assistance is needed under specific conditions,

[0788] A natural language processing means that receives support requests from users and interprets their content,

[0789] A guidance means that generates operating procedures based on user requests and provides operating instructions to the user according to those procedures,

[0790] A system that includes this.

[0791] (Claim 2)

[0792] The system according to claim 1, further comprising visual guidance means for visually highlighting interface elements on a screen when an electronic device guides the user's operation in real time.

[0793] (Claim 3)

[0794] The system according to claim 1, further comprising a feedback analysis means for collecting user feedback and analyzing the data to improve the performance of the guidance means.

[0795] "Example 1"

[0796] (Claim 1)

[0797] A monitoring means that collects user activity data and activates an artificial intelligence agent when it is determined that assistance is needed under specific conditions,

[0798] A means for acquiring user support requests as audio or text and interpreting their content using a natural language processing engine,

[0799] A method using a generative AI model that analyzes the user's intent based on the interpretation results and automatically generates the relevant operating procedures,

[0800] A visualization guidance system that displays the generated operating procedures to the user sequentially and visually highlights important information to guide the user,

[0801] A feedback analysis means that collects feedback after the user completes an operation, analyzes that data, and dynamically improves the guidance performance.

[0802] A system that includes this.

[0803] (Claim 2)

[0804] The system according to claim 1, comprising means for converting a user's voice instructions into text and processing the text data.

[0805] (Claim 3)

[0806] The system according to claim 1, comprising means for presenting to the user, via an artificial intelligence agent, the operating procedures to be performed on an electronic device, and for promoting step-by-step learning in accordance with the user's pace of operation.

[0807] "Application Example 1"

[0808] (Claim 1)

[0809] A monitoring means that monitors the user's operations on the information processing device and determines that assistance is needed under specific conditions,

[0810] A natural language processing means that receives support requests from users and interprets their content,

[0811] A guidance means that generates operating procedures based on user requests and provides operating instructions to the user according to those procedures,

[0812] A visualization means for highlighting visual elements for performing the operating procedure,

[0813] A data analysis means that collects user experience input, analyzes that data to improve the performance of the guidance means,

[0814] A system that includes this.

[0815] (Claim 2)

[0816] The system according to claim 1, comprising visual guide means for supporting the procedures of monetary transactions performed by a user and visually guiding the operations necessary for electronic payment.

[0817] (Claim 3)

[0818] The system according to claim 1, further comprising analytical means for collecting user feedback after payment is completed and analyzing the data to improve the accuracy of electronic payment guidance.

[0819] "Example 2 of combining an emotion engine"

[0820] (Claim 1)

[0821] An observation means that monitors the operation of a user's information device and determines that assistance is needed under specific conditions,

[0822] A language processing means that receives support requests from users and interprets their content,

[0823] An instruction means that generates operating procedures based on user requests and provides operating guidance to the user according to those procedures,

[0824] An emotional analysis method that analyzes the user's voice tone and facial expression data to determine their emotional state,

[0825] An emotional response system that adjusts operation guidance based on emotional data and provides support that is sensitive to the user's feelings,

[0826] A system that includes this.

[0827] (Claim 2)

[0828] The system according to claim 1, further comprising visual instruction means for visually highlighting interface elements on a screen when an information device guides a user through real-time operations.

[0829] (Claim 3)

[0830] The system according to claim 1, further comprising an opinion analysis means for collecting user opinions and analyzing the data to improve the performance of the instruction means.

[0831] "Application example 2 when combining with an emotional engine"

[0832] (Claim 1)

[0833] A monitoring means that monitors the operation of the user's information processing device and determines that assistance is needed under specific conditions,

[0834] A language analysis means that receives support requests from users and interprets their content,

[0835] A guidance means that generates an operating procedure based on the user's request and guides the user through the procedure,

[0836] A means of analyzing the emotional state of a user,

[0837] An emotional adjustment mechanism that makes the guidance of actions more compatible with the emotional state,

[0838] A system that includes this.

[0839] (Claim 2)

[0840] The system according to claim 1, further comprising visual guidance means for visually highlighting interface elements on a display device when an information processing device guides a user's actions in real time.

[0841] (Claim 3)

[0842] The system according to claim 1, further comprising an analysis means for collecting user feedback and analyzing that information to improve the performance of the guidance means. [Explanation of symbols]

[0843] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A monitoring means that monitors the operation of a user's electronic device and determines that assistance is needed under specific conditions, A natural language processing means that receives support requests from users and interprets their content, A guidance means that generates operating procedures based on user requests and provides operating instructions to the user according to those procedures, A system that includes this.

2. The system according to claim 1, further comprising visual guidance means for visually highlighting interface elements on a screen when an electronic device guides the user's operation in real time.

3. The system according to claim 1, further comprising a feedback analysis means for collecting user feedback and analyzing the data to improve the performance of the guidance means.

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