system

Abstract

We provide the system. [Solution] A means by which the terminal selects a question from a provided list of questions, A means by which the terminal sends the selected question to the server, A means by which the server receives a question and passes it on to the generating AI, A means by which a generative AI generates answers to questions, A means by which the server sends the generated response to the terminal, A means by which the device receives and displays the response to the user, A system that includes means for configuring the device based on the user's displayed responses.

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] When initializing or making various settings for a smartphone, many users have questions and uncertainties about the setting methods and often inquire with store staff or use support services. As a result, the load on store staff increases, and costs due to long-term responses are incurred. In addition, there are many claims due to inappropriate settings, leading to a problem of reduced user satisfaction. There is a need to solve these problems and provide a system that allows users to make settings efficiently by themselves.

Means for Solving the Problems

[0005] The present invention provides a system that includes means for a terminal to select a question from a provided list of questions, means for the terminal to send the selected question to a server, means for the server to receive the question and pass it on to a generating AI, means for the generating AI to generate an answer to the question, means for the server to send the generated answer to the terminal, means for the terminal to receive the answer and display it to the user, and means for the user to configure the terminal based on the displayed answer. With this system, the user can select a question about settings from a provided list of questions and configure the settings themselves by referring to the detailed answer provided by the AI. This reduces the burden on store staff and can lead to a decrease in inquiries and complaints. Furthermore, by including images or video guides in the generated answer, visually easy-to-understand explanations are provided, promoting user comprehension.

[0006] A "terminal" is a device operated by the user, and is used for selecting questions and displaying answers from AI.

[0007] A "server" is a computer system that acts as an intermediary, receiving questions sent from terminals, passing those questions to a generating AI, and sending the generated answers back to the terminals.

[0008] "Generative AI" is an artificial intelligence system that generates appropriate answers to questions provided by a server.

[0009] A "list of questions" is a set of pre-prepared questions about settings that are provided in a user-selectable format.

[0010] "Answer" refers to information generated by the AI, including explanations and procedures in response to user questions.

[0011] "Selecting" refers to the action of a user choosing a specific question from a displayed list.

[0012] "Sending" means transferring data from a terminal to a server over a network.

[0013] "Receiving" means that a server or terminal receives data through a network.

[0014] "Displaying" means that the device outputs information to the screen and shows it to the user.

[0015] "Setting" refers to the operation of changing or adjusting the device's functions and options according to the user's preferences. [Brief explanation of the drawing]

[0016] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12]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 the 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 the emotion engine is combined.

Mode for Carrying Out the Invention

[0017] Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0018] First, the language used in the following description will be explained.

[0019] 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.

[0020] 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.

[0021] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0022] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0023] 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."

[0024] [First Embodiment]

[0025] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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".

[0037] This invention is a system designed to help users efficiently perform initial setup and various settings on their smartphones. This system consists of a terminal, a server, and a generating AI.

[0038] First, the device selects a question from a list of provided questions. The device is a user-operated device such as a smartphone or tablet, and it accesses the settings app where a list of questions about settings is displayed. This list of questions includes predefined questions about a wide range of settings, and the user selects the question that matches their inquiry.

[0039] Next, the terminal sends the selected question to the server. This communication takes place over the internet and is implemented as a regular HTTP request. The terminal uploads the selected question to the server in a client-server format. At this time, the terminal's software module can also send metadata such as the question ID and user ID.

[0040] The server receives a question from the terminal and passes it to the generative AI. Upon receiving the question, the server immediately passes it as input to the appropriate AI model and requests an answer. Servers are often located in a cloud environment, and it is common for them to also have components that host the generative AI.

[0041] The generating AI receives questions from the server and generates appropriate answers. This AI uses natural language processing (NLP) techniques to understand the meaning of the questions and generate corresponding setup instructions and explanations. Based on the content of the question, the AI ​​provides the most effective answer for the user. For example, in response to the question, "How do I connect to Wi-Fi?", it generates detailed instructions such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0042] The server sends the generated response to the terminal. The response from the server includes the generated response text and, if necessary, supplementary materials such as images and videos. This allows the user to obtain not only text but also visually easy-to-understand information.

[0043] Finally, the device receives the response and displays it to the user. The device's software provides an interface to display the response in a user-friendly format. For example, in addition to text responses, screenshots and short video tutorials can also be displayed to help the user intuitively understand the setup procedure. This display interface supports the user in smoothly setting up their smartphone by following the instructed steps.

[0044] As a concrete example, consider a case where a user asks about "Wi-Fi settings." When the user selects the question "How do I connect to Wi-Fi?" in the device's settings app, the device sends this question to the server. The server passes the question to a generating AI, which generates the answer "Open the settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary." The server sends this answer to the device, which displays the answer to the user. The user can then complete the Wi-Fi setup by following the displayed instructions.

[0045] As described above, the present invention provides detailed and easy-to-understand instructions for users to configure their smartphones themselves, and can significantly reduce inquiries and complaints regarding settings.

[0046] The following describes the processing flow.

[0047] Step 1:

[0048] The device launches the settings app and displays a list of questions to the user. This list includes pre-prepared questions about settings.

[0049] Step 2:

[0050] The user selects the question that best applies to their question from the displayed list of questions. For example, they might select the question, "How do I connect to Wi-Fi?"

[0051] Step 3:

[0052] The terminal sends the user-selected question to the server. At the same time, it also sends the question ID and metadata (e.g., user ID, timestamp, etc.).

[0053] Step 4:

[0054] The server processes the questions received from the terminal and passes them to the generating AI. The server inputs the questions into the appropriate AI model and requests the generation of answers.

[0055] Step 5:

[0056] The AI ​​generator interprets the question and produces an appropriate answer. This answer includes detailed setup instructions and supplementary explanations. For example, it might say, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0057] Step 6:

[0058] The server sends the response obtained from the AI ​​generator to the device. The response includes not only text information but also links to images and videos as needed.

[0059] Step 7:

[0060] The terminal displays the response received from the server to the user. The terminal's software presents the received response to the user in an easy-to-understand format. For example, it may display screenshots or short video clips along with text instructions.

[0061] Step 8:

[0062] The user configures the device based on the displayed answers. The user follows the instructions and completes necessary settings, such as connecting to Wi-Fi, by operating the settings app.

[0063] Through these specific processing steps, users can understand the necessary setup procedures and properly configure their smartphones themselves.

[0064] (Example 1)

[0065] 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."

[0066] The initial setup and various settings of conventional smartphones and tablets are often complicated and difficult for users to understand. This leads to frequent inquiries and complaints about settings, resulting in a poor user experience. Furthermore, text-based instructions alone may not allow users to accurately understand the setup procedure, potentially leading to operational errors.

[0067] 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.

[0068] In this invention, the server includes means for the terminal to select a question from a provided list of questions, means for the terminal to transmit the selected question to the server via a network, means for the server to receive the question and pass the received question to a generative AI model, means for the generative AI model to generate an answer based on the question, means for the server to transmit the generated answer to the terminal, means for the terminal to receive the answer and display it to the user, and means for the user to configure the terminal based on the displayed answer. This enables the user to configure their smartphone or tablet intuitively and efficiently, contributing to a reduction in inquiries and complaints. Furthermore, including images and video guides in the generated answer can help the user understand and prevent configuration errors.

[0069] A "terminal" refers to a device operated by a user, such as a smartphone or tablet.

[0070] The "question list" refers to a set of predefined questions about a wide range of settings that are displayed in the settings app on your device.

[0071] A "server" refers to a computer device on a network that receives data from terminals via the internet and passes questions to the generated AI model.

[0072] A "network" refers to a system for transmitting data via the internet or other forms of remote communication.

[0073] A "generative AI model" refers to an artificial intelligence model that uses natural language processing technology to generate appropriate answers to questions from a device.

[0074] An "HTTP request" refers to a form of communication protocol used to send a question from a terminal to a server.

[0075] "Metadata" refers to auxiliary data that contains information about the data itself, such as a question ID or user ID.

[0076] "Answer" refers to information such as explanations and procedures generated by the generative AI model in response to a user's question.

[0077] "Image or video guide" refers to a media format that provides visual information to help users intuitively understand the setup procedure.

[0078] "Display screen layout" refers to the arrangement of the screen when displaying answers to the user on a device.

[0079] This invention is a system that assists users in efficiently performing initial setup and various settings on smartphones and tablets. This system consists of a terminal, a server, and a generative AI model.

[0080] First, the user operates their device to launch the Settings app. The device displays a list of questions related to a wide range of predefined settings. The user selects a question from this list that addresses their specific question. For example, they might choose the question, "How do I connect to Wi-Fi?"

[0081] Next, the terminal sends an HTTP request to the server containing the selected question. This request is made over the internet and includes metadata such as the question ID and user ID. The server parses the received request and extracts the content of the question.

[0082] The extracted questions are passed by the server as input to a generative AI model. The generative AI model uses natural language processing techniques to generate appropriate answers to the questions. For example, in response to the question "How do I connect to Wi-Fi?", it might create detailed instructions such as "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0083] The generated response is sent from the server to the terminal. The response from the server includes the generated response text, as well as supplementary materials such as images and videos as needed. The terminal displays the response received from the server to the user. The terminal's software displays the response in a format that is easy for the user to understand. For example, in addition to the text response, it may also display screenshots showing the operating procedure or a short video tutorial.

[0084] This allows users to intuitively configure their smartphone or tablet settings by following the displayed instructions. Examples of specific prompts include:

[0085] - "I want to set up my smartphone for the initial setup. How do I proceed?"

[0086] - "Please tell me how to install a new app."

[0087] - "How do I connect a Bluetooth device?"

[0088] This system provides users with an intuitive and easy-to-understand setup guide, contributing to a reduction in inquiries and complaints. In particular, the specific steps and visual guides generated by the generative AI model are effective in helping users successfully complete the setup process.

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

[0090] Step 1:

[0091] The user operates a device such as a smartphone or tablet and launches the settings app. The device displays a list of questions related to a wide range of predefined settings. At this time, the user selects a question, such as "How do I connect to Wi-Fi?". The user makes a selection from the list of questions as input, and the selected question is output.

[0092] Step 2:

[0093] The terminal generates an HTTP request based on the user's selected question. This request includes metadata such as the content of the selected question, the question ID, and the user ID. The terminal then sends this HTTP request to the server over the internet. The input is the selected question and metadata, and the output is the generated HTTP request to the server.

[0094] Step 3:

[0095] The server receives and parses HTTP requests from terminals. The server extracts the question content as a result of the analysis and passes it to the generative AI model. The input is an HTTP request, and the output is the extracted question content for the generative AI model. Specifically, this involves the server parsing the request and understanding the meaning of the question.

[0096] Step 4:

[0097] The generative AI model receives a question from the server and generates an appropriate answer using natural language processing techniques. The input is the question, and the output is detailed setup instructions and explanations. Specifically, the generative AI model analyzes the meaning of the question and generates the optimal answer accordingly.

[0098] Step 5:

[0099] The server receives the response from the generating AI model and sends it back to the terminal. The server's response includes not only the generated response text but also supplementary materials such as images and videos. The input is the generated response, and the output is the response sent to the terminal. Specifically, this involves a process of adding the necessary visual materials to the response.

[0100] Step 6:

[0101] The terminal analyzes the response received from the server and displays it to the user in an appropriate format. The terminal's software not only displays the response text but also, if necessary, screenshots and video tutorials. The input is the response from the server, and the output is what is displayed to the user. Specific actions include dynamic adjustments to the user interface and the display of visual guides.

[0102] This series of processing steps allows users to configure their smartphones and tablets intuitively and smoothly.

[0103] (Application Example 1)

[0104] 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."

[0105] Currently, users of content delivery services often encounter problems and questions regarding setup and usage. To address these issues, an easily accessible support system is needed. Furthermore, support that can accommodate a wider range of users is required, provided in diverse languages ​​and with visual explanations. Current support systems are limited to specific languages ​​and text-based formats, and improvements are needed to enhance the user experience.

[0106] 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.

[0107] In this invention, the server includes means for a terminal to select a question from a provided list of questions, means for the terminal to send the selected question to the server, and means for a generating AI to generate an answer to the question. This enables users to obtain intuitive and specific answers, including multimedia materials, in real time to questions regarding content delivery settings and viewing.

[0108] A "device" is an electronic device used by a user, and includes smartphones, tablets, and other similar devices.

[0109] A "server" is a computer system that processes and manages information through a network, and in this invention, it is responsible for receiving questions from users, forwarding them to the generating AI, and returning answers.

[0110] A "list of questions" is a predefined list containing numerous question items that the user can select from.

[0111] "Generative AI" is an artificial intelligence model that uses natural language processing technology to generate answers to user questions.

[0112] "Multilingualism" means supporting multiple different languages, providing an environment where users can ask and answer questions in the language they understand best.

[0113] "Multimedia materials" refer to supplementary materials that provide information in formats other than text, such as images and videos.

[0114] A "user profile" is a collection of data based on a user's individual settings and past operation history, and the display interface is customized based on this.

[0115] A "display interface" refers to the screen on a device that displays answers to the user, and is designed to allow the user to easily understand the information.

[0116] This invention is a system that uses terminals such as smartphones and tablets, servers, and generating AI to provide real-time answers to questions and problems that users may have when setting up and using content distribution services.

[0117] First, a list of questions is provided on the user's device, and the user selects a question that is appropriate for their question from this list. The selected question is then sent to the server via the device.

[0118] The server receives questions sent over the internet and passes them to a generative AI model. The server is often located in a cloud environment and includes components that host the generative AI. This generative AI uses natural language processing techniques to understand the meaning of the questions and generate appropriate answers.

[0119] The generated responses may include not only text but also multimedia materials such as images and videos. The server sends this information back to the terminal, which then displays the received responses and materials to the user. The display interface is dynamically adjusted based on the user profile and is designed to allow the user to understand the information more intuitively.

[0120] For example, if a user selects the question "How can I stream in high quality?", that question is passed to the AI ​​generator via the server, and an answer like the following is generated:

[0121] "To stream in high definition, open the Settings app, select [Streaming Quality], and choose the [High Definition] option. Internet connection speed is also important, so a Wi-Fi connection is recommended."

[0122] This response will be sent to the terminal via the server and displayed to the user. The response may also include screenshots of the setup procedure and video tutorials as needed.

[0123] Examples of prompt statements include the following:

[0124] "User question: How can I stream in high definition? Please provide answers related to content delivery services."

[0125] This system allows users to not only access content delivery services smoothly but also receive appropriate support in real time. The hardware and software used include user terminals (smartphones and tablets), servers that process questions, and generative AI models (e.g., using the OpenAI® API).

[0126] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0127] Step 1:

[0128] The user operates the device and selects a question from the provided list of questions.

[0129] Input: User actions, list of questions

[0130] Output: Selected Questions

[0131] Specific actions: The user opens the application on their device and taps the question that corresponds to their question from the displayed list of questions.

[0132] Step 2:

[0133] The device sends the selected question to the server.

[0134] Input: Selected question

[0135] Output: Sending data in HTTP request format

[0136] Specific operation: The application on the device sends data containing the selected question to the server as an HTTP request. This data also includes the question ID and user ID.

[0137] Step 3:

[0138] The server receives the selected question and passes it to the generating AI.

[0139] Input: HTTP request containing the selected question

[0140] Output: Prompt message to pass to the generating AI

[0141] Specific operation: The server analyzes the received request, extracts the question content, and converts it into a prompt sentence in a format suitable for the generating AI. Then, it sends this prompt sentence to the generating AI.

[0142] Step 4:

[0143] The generative AI generates answers to the questions.

[0144] Input: Prompt message

[0145] Output: Text of the detailed answer to the question

[0146] Specific operation: The generating AI uses natural language processing technology to analyze the received prompt and generate an appropriate response. This response includes specific steps and, if necessary, links to visual materials.

[0147] Step 5:

[0148] The server sends the generated response to the terminal.

[0149] Input: Response text from the generated AI

[0150] Output: Sending data in HTTP response format

[0151] Specific operation: The server receives the generated response and sends it to the terminal as an HTTP response. Images and video links are also included in this response, if necessary.

[0152] Step 6:

[0153] The device receives the response and displays it to the user.

[0154] Input: HTTP response from the server

[0155] Output: Responses and multimedia materials displayed to the user.

[0156] Specific operation: The terminal analyzes the received response and displays the response text and, if necessary, images or videos. The display interface is dynamically adjusted based on the user profile.

[0157] Step 7:

[0158] The device settings are configured based on the user's displayed responses.

[0159] Input: Displayed answers and multimedia materials

[0160] Output: Changes to terminal settings due to user actions

[0161] Specific actions: The user follows the displayed instructions and changes settings by operating the device's settings app. For example, to set the streaming quality to high definition, the user opens the designated settings screen and changes the setting options.

[0162] 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.

[0163] This invention is a system designed to help users efficiently perform initial setup and various settings on their smartphones, and further incorporates an emotion engine that recognizes the user's emotions. This system consists of a terminal, a server, a generative AI, and an emotion engine.

[0164] First, the device launches the Settings app and displays a list of questions to the user. This list contains pre-prepared questions about settings. The user selects the question that matches their question. For example, they might select the question, "How do I connect to Wi-Fi?"

[0165] Next, the terminal sends the selected question to the server. This communication takes place over the internet and is implemented as a regular HTTP request. The terminal uploads the selected question to the server in a client-server format. At this time, metadata such as the question ID and user ID are also sent.

[0166] The server receives a question from the terminal and passes it to the generative AI. Upon receiving the question, the server immediately passes it as input to the appropriate AI model and generates an answer. The server is typically located in a cloud environment and also houses a component that hosts the generative AI.

[0167] The generating AI produces appropriate answers to questions provided by the server. This AI uses natural language processing (NLP) techniques to understand the meaning of the questions and provide corresponding setup instructions and explanations. For example, it might generate an answer such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0168] The server sends the response to the terminal. The response from the server may include not only the text information of the generated response, but also images and video guides to help the user understand it.

[0169] Next, the terminal displays the response received from the server to the user. The display interface is designed to allow the user to intuitively understand the response, so in addition to text instructions, relevant screenshots and video clips are displayed.

[0170] A further feature of this invention is that the terminal is equipped with an emotion engine. The emotion engine analyzes the user's facial expressions and voice tone, etc., to recognize the user's emotions. This emotion information is used to adjust the content and display method of the responses provided by the generating AI in real time.

[0171] As a concrete example, consider a case where the user asks about "Wi-Fi settings." If the user selects the question "How do I connect to Wi-Fi?", the device sends this question to the server. The server passes the question to the generating AI, which generates the answer "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary." The server sends the generated answer to the device, and the device displays the answer to the user.

[0172] In this process, if the emotion engine recognizes confusion or anxiety from the user's facial expressions, the generating AI will modify the content to provide more detailed instructions or supplementary explanations. For example, additional messages such as "Please refer to the image guide" or "Would you like to play the video tutorial?" will be displayed. In this way, the content and display format of the responses are dynamically adjusted according to the user's emotions, allowing the user to complete the setup more comfortably.

[0173] As described above, the present invention provides detailed and easy-to-understand instructions for users to configure their smartphones themselves. Furthermore, by combining this with an emotion engine, it enables flexible support tailored to the user's emotions, significantly reducing inquiries and complaints regarding settings.

[0174] The following describes the processing flow.

[0175] Step 1:

[0176] The device launches the settings app and displays a list of questions to the user. This list includes pre-prepared questions about the initial setup and various settings of the smartphone. For example, it may include questions about Wi-Fi settings, Bluetooth settings, and more.

[0177] Step 2:

[0178] The user selects a question from a list that matches their question. For example, they might select the question, "How do I connect to Wi-Fi?" When the user taps a question, that question is selected.

[0179] Step 3:

[0180] The device sends the selected question to the server. The device sends data including the selected question ID and user ID to the server as an HTTP request. For example, it sends a request to an API endpoint such as POST / send_question.

[0181] Step 4:

[0182] The server processes the question data received from the terminal and passes the question to the question-generating AI. The server converts the received question into an appropriate format and passes it as input to the AI ​​model.

[0183] Step 5:

[0184] The generating AI interprets the question and generates an appropriate answer. This AI uses natural language processing technology to understand the meaning of the question and generates corresponding setup steps and explanations. For example, it might generate an answer such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0185] Step 6:

[0186] The server receives the response generated by the AI ​​and sends it to the terminal. The response from the server includes the text information of the generated response. Supplementary materials such as images and video guides are also included as needed.

[0187] Step 7:

[0188] The device displays the received response to the user. The device's software displays the response in a format that is easy for the user to understand. For example, it displays text instructions and related screenshots.

[0189] Step 8:

[0190] Based on the displayed response, the device activates an emotion engine that analyzes the user's facial expressions and tone of voice. The emotion engine uses the camera and microphone to analyze the user's facial expressions and voice, and recognizes the user's emotional state (e.g., confusion, anxiety, joy).

[0191] Step 9:

[0192] The emotion engine recognizes the user's emotions and feeds that information back to the generating AI. For example, if the user has a confused expression, that information is sent to the generating AI.

[0193] Step 10:

[0194] The generating AI dynamically adjusts its responses based on the user's emotional state. For example, if it detects confusion, the generating AI will generate more detailed instructions or additional explanations. Conversely, if it detects relaxation, it will determine that a concise explanation is sufficient.

[0195] Step 11:

[0196] The server sends the updated response from the AI ​​generator to the device, and the device redisplays that response. The device then displays the newly generated text instructions, as well as any additional screenshots or videos, to the user.

[0197] Step 12:

[0198] The user configures their device based on the displayed answers. The user follows the instructions and completes settings such as connecting to Wi-Fi by operating the settings app.

[0199] By going through the above processing steps, users can efficiently configure their smartphone settings themselves, and by using the emotion engine, they can receive flexible support tailored to their psychological state.

[0200] (Example 2)

[0201] 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".

[0202] Many users struggle with the complexity and lack of understanding of the procedures when setting up or configuring their smartphones. Furthermore, the provided setup guides are often formulaic and fail to adapt to individual user difficulties and concerns, resulting in insufficient support. Consequently, the setup process is stressful for users and difficult to complete efficiently.

[0203] 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.

[0204] In this invention, the server includes means for the terminal to select a question from a provided list of questions, means for the terminal to send the selected question to the server, means for the server to receive the question and pass it on to a generative AI model, means for the generative AI model to generate an answer to the question, means for the server to send the generated answer to the terminal, means for the terminal to receive the answer and display it to the user, means for the user to configure the terminal based on the displayed answer, and means for the terminal to use an emotion engine that recognizes the user's emotions to adjust the content and display method of the answer provided by the generative AI model in real time. As a result, the user can get quick and accurate answers to their questions and receive appropriate support according to their confusion and anxiety, making it possible to configure their smartphone more comfortably and efficiently.

[0205] A "terminal" is an electronic device used by a user, whose role is to select a question, send it to the server, and receive and display the answer.

[0206] A "server" is a central processing unit that receives questions sent from terminals, passes them to a generative AI model to generate answers, and then sends those answers back to the terminals.

[0207] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to generate appropriate answers to questions provided by a server.

[0208] An "emotion engine" is a technology that analyzes the user's facial expressions and voice tone to recognize their emotions, and is used to adjust the content and display method of the responses provided by the generative AI model.

[0209] "Answer" refers to explanations and setup procedures generated by a generative AI model based on the user's question, and may include images or video guides.

[0210] A "question list" is a collection of pre-prepared questions provided by the settings app to the user regarding the initial setup and various settings of their smartphone.

[0211] A "user" is an individual who uses a device to select questions, receive answers, and configure their smartphone settings.

[0212] The "client-server model" is a communication format in which the terminal functions as the client and the server performs central processing.

[0213] This invention is a system designed to help users efficiently perform initial setup and various settings on their smartphones, and further incorporates an emotion engine that recognizes the user's emotions. This system consists of a terminal, a server, a generative AI model, and an emotion engine.

[0214] First, the device launches the Settings app and displays a list of questions to the user. This list contains pre-prepared questions about settings. The user selects the question that matches their question. For example, they might select the question, "How do I connect to Wi-Fi?"

[0215] Next, the terminal sends the selected question to the server. This communication takes place over the internet and is implemented as a regular HTTP request. The terminal uploads the selected question to the server in a client-server format, sending metadata such as the question ID and user ID along with it.

[0216] The server receives a question from the terminal and passes that question to a generative AI model. The server is located in a cloud environment and has a component that hosts the generative AI model. As soon as the server receives a question, it passes the question as input to the appropriate generative AI model and generates an answer.

[0217] The generative AI model generates appropriate answers to questions provided by the server. This AI model uses natural language processing (NLP) techniques to understand the meaning of the questions and provide corresponding setup instructions and explanations. For example, it might generate an answer such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0218] The server sends the generated response to the terminal. The response from the server may include not only the text information of the generated response, but also images and video guides to help the user understand it.

[0219] Next, the terminal displays the response received from the server to the user. The display interface is designed to allow the user to intuitively understand the response, and in addition to text instructions, relevant screenshots and video clips are displayed.

[0220] A further feature of this invention is that the terminal is equipped with an emotion engine. The emotion engine analyzes the user's facial expressions and voice tone to recognize the user's emotions. This emotion information is used to adjust the content and display method of the responses provided by the generative AI model in real time.

[0221] As a concrete example, consider a case where a user asks about "Wi-Fi settings." If the user selects the question "How do I connect to Wi-Fi?", the device sends this question to the server. The server passes the question to a generative AI model, which generates the answer "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary." The server sends the generated answer to the device, and the device displays the answer to the user.

[0222] In this case, if the emotion engine recognizes confusion or anxiety from the user's facial expressions, the generative AI model will modify its content to provide more detailed instructions or supplementary explanations. For example, additional messages such as "Please proceed while referring to the image guide" or "Would you like to play the video tutorial?" may be displayed.

[0223] Examples of prompt statements:

[0224] "The user selected the question 'How do I connect to Wi-Fi?', and the emotion engine analyzed the user's facial expressions and tone of voice to determine that they were confused. Please generate a more detailed response, supplementary explanations, and additional guidance such as image guides or video tutorials."

[0225] Thus, the present invention provides detailed and easy-to-understand instructions for users to configure their smartphones themselves, and by combining this with an emotion engine, it enables flexible support tailored to the user's emotions, significantly reducing inquiries and complaints regarding settings.

[0226] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0227] The processing flow of this system's program is divided into processing steps.

[0228] The system's program processing will be explained according to the following steps.

[0229] Step 1:

[0230] The device launches the settings app and prepares to display a list of questions. The device retrieves pre-configured question data from a local or remote database. This list of questions includes items that users frequently ask about their smartphone settings.

[0231] Input: Request to launch the Settings app

[0232] Data processing: Acquisition and formatting of questionnaire data

[0233] Output: Display of question list

[0234] Step 2:

[0235] The user selects the question that best matches their question from the displayed list of questions. For example, they might select the question, "How do I connect to Wi-Fi?"

[0236] Input: Question selection via user touch operation

[0237] Output: Selected Question ID

[0238] Step 3:

[0239] The terminal sends the selected question to the server. Communication takes place via the internet as an HTTP request. The terminal generates a request that includes the question ID and user ID as metadata and sends it to the server.

[0240] Input: Selected Question ID, User ID

[0241] Data processing: Generation of HTTP requests

[0242] Output: Sending a query request to the server

[0243] Step 4:

[0244] The server analyzes the question received from the terminal and passes the question to the generative AI model. The server uses the question ID to retrieve the appropriate question content from the database and sends a request to the generative AI model's API endpoint.

[0245] Input: Question ID, User ID

[0246] Data processing: Retrieving question content, generating AI model API requests.

[0247] Output: Send the question to the AI ​​model.

[0248] Step 5:

[0249] The generative AI model generates appropriate answers to questions provided by the server. The generative AI model uses natural language processing techniques to understand the meaning of the questions and generates answers that include setup instructions and explanations. For example, it might generate an answer such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0250] Input: Question content

[0251] Data processing: Answer generation using natural language processing

[0252] Output: Generated answer

[0253] Step 6:

[0254] The server receives the generated response and sends it to the terminal. If the response from the generating AI model includes images or video guides, the server generates a response that includes them.

[0255] Input: Generated answer

[0256] Data processing: Generation of HTTP response

[0257] Output: Sending response to terminal

[0258] Step 7:

[0259] The terminal displays the response received from the server to the user. The display interface is designed to allow the user to intuitively understand the response, and relevant screenshots and video clips are displayed along with text instructions.

[0260] Input: Response from the server

[0261] Data processing: Analysis of response content and generation of display screen.

[0262] Output: Display to the user

[0263] Step 8:

[0264] The emotion engine built into the device analyzes the user's facial expressions and voice tone to recognize their emotions. If the emotion engine detects confusion or anxiety in the user, it feeds that information back into the generating AI model to adjust the response.

[0265] Input: User's facial expressions and voice data

[0266] Data processing: Sentiment analysis, feedback to generative AI models.

[0267] Output: Display of adjusted answers

[0268] Specifically, if a user selects the question "How do I connect to Wi-Fi?" and the emotion engine detects confusion from the user's facial expression, additional instructions such as "Please refer to the image guide" or "Would you like to play the video tutorial?" will be displayed. In this way, the content and display format of the responses are dynamically adjusted according to the user's emotions.

[0269] Based on the above processing steps, this system is designed to allow users to configure their smartphones efficiently and without stress.

[0270] (Application Example 2)

[0271] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0272] Providing customer support in physical stores can be challenging, as customers often face difficulties setting up or troubleshooting their devices. This is especially true for tech-savvy or elderly customers, who may find the device setup process confusing and stressful. Furthermore, time and staffing constraints make it difficult for store employees to provide prompt and accurate support to all customers. Therefore, a more efficient and flexible support system is needed to enhance customer satisfaction.

[0273] 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.

[0274] In this invention, the server includes means for the terminal to select a question from a provided list of questions, means for the terminal to send the selected question to the server, means for the server to receive the question and pass it on to a generating AI, means for the generating AI to generate an answer to the question, means for the server to send the generated answer to the terminal, means for the terminal to receive the answer and display it to the user, means for the user to configure the terminal based on the displayed answer, means for the terminal to be equipped with an emotion engine that recognizes the user's emotions and adjust the content and display method of the answer provided by the generating AI according to the user's emotions, and means for displaying emotion information and the answer in real time on smart glasses worn by a store employee. As a result, when customers receive technical support in a physical store, they can be provided with customized answers according to their individual emotional state, and can efficiently and safely configure their devices with the assistance of a store employee.

[0275] "Terminal" refers to an electronic device directly operated by a user, such as a smartphone or a tablet.

[0276] "Server" is a computer system that manages communication with terminals via a network and hosts data processing and generative AI.

[0277] "Question list" is a list of pre-prepared questions related to settings and troubleshooting that can be selected by the user on the terminal.

[0278] "Generative AI" is an artificial intelligence system that uses natural language processing technology to generate answers to user questions.

[0279] "Answer" refers to information such as text, images, or video guides for explanations and instructions created in response to a user's question by generative AI.

[0280] "Emotion engine" is a system that analyzes the facial expressions and voice tones of a user to recognize the user's emotions.

[0281] "Smart glasses" are glasses-type electronic devices that visually display information when worn and enable real-time information provision.

[0282] "User" refers to a person who operates a terminal to select questions and perform settings or troubleshooting.

[0283] "Display interface" is a mechanism for visually displaying information on the screen of a terminal and is designed to be intuitively understood by the user.

[0284] "Store clerk" refers to an employee who has the role of providing support to customers in a physical store.

[0285] The present invention is a system for efficiently and flexibly providing customer support in a physical store. This system consists of a terminal, a server, a generative AI, an emotion engine, and smart glasses worn by store employees.

[0286] First, a customer makes a query using a tablet terminal or a robot terminal in the store. A list of pre-prepared queries is displayed on the terminal, and the customer selects a query from this list. The query contents include "How to connect to Wi-Fi?", "How to install a new app?", and "How to strengthen the security settings of a smartphone?". The selected query is sent to the server as an HTTP request via the Internet.

[0287] The server receives the query from the terminal and passes the query to the generative AI. Specifically, the generative AI model is hosted on the server, and the server passes the query as an input to the generative AI model to generate an answer using natural language processing technology. For example, an answer such as "Open the settings app, go to the 'Wi-Fi' section, select an available network, and enter the password if necessary." is generated.

[0288] Next, the server sends the generated answer to the terminal. The terminal receives the answer and displays it to the user. At this time, the display interface is designed so that the user can intuitively understand the answer content, and in addition to the text procedure, relevant screenshots and video clips are displayed.

[0289] Furthermore, the terminal is equipped with an emotion engine that analyzes the user's facial expressions and voice tones to recognize emotions. This emotion information is fed back to the generative AI and the server in real time, and the content and display method of the answer provided by the generative AI are dynamically adjusted according to the user's emotions. For example, when the user shows a confused expression, the generative AI is changed to provide more detailed procedures and supplementary explanations.

[0290] Furthermore, the smart glasses worn by the staff display emotional information and responses in real time, enabling them to provide appropriate support to customers. These smart glasses are useful for quickly understanding what problems customers are facing and providing effective advice on the spot.

[0291] As a concrete example, the following prompt text will be input to the generation AI to produce an appropriate response:

[0292] "How do I connect to Wi-Fi?"

[0293] "How do I install a new app?"

[0294] "How can I strengthen my smartphone's security settings?"

[0295] This invention allows customers to receive customized answers tailored to their individual emotional state when receiving technical support in a physical store, enabling them to efficiently and confidently configure their devices with the assistance of store staff.

[0296] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0297] Step 1:

[0298] The user selects a question on their device.

[0299] The user selects a question from a pre-prepared list using a tablet or robotic terminal in the physical store. The terminal receives the user's input and generates request data, including the question ID and user ID. This generated request data is then sent to the next step.

[0300] Step 2:

[0301] The device sends the selected question to the server.

[0302] The terminal sends the question selected by the user as request data to the server via the Internet. This transmission is carried out in the form of a normal HTTP request and is received on the server side. The input is the question data selected by the user, and the output is the arrival of this data at the server.

[0303] Step 3:

[0304] The server passes the question to the question-generating AI

[0305] The server receives the question sent from the terminal and passes it as input to the generative AI model. The server analyzes the received data and provides the input data as a prompt sentence to the appropriate generative AI model. At this time, preprocessing and format conversion of the data are performed. The input is the request data from the terminal, and the output is the prompt sentence to the generative AI.

[0306] Step 4:

[0307] The generative AI generates an answer to the question

[0308] The generative AI model generates an answer suitable for the question based on the prompt sentence passed from the server. The generative AI uses natural language processing technology to analyze the input prompt sentence, understand its meaning, and create an appropriate answer text. For example, for the question "How to connect to Wi-Fi?", an answer like "Open the Settings app, go to the 'Wi-Fi' section, select an available network, and enter the password if necessary." is generated. The input is the prompt sentence, and the output is the generated text answer.

[0309] Step 5:

[0310] The server sends the generated answer to the terminal

[0311] The server receives the response generated by the generative AI and sends it as a response to the device that sent the request. When the server sends the response to the device, it includes supplementary information such as images and video guides as needed. The input is the response data generated by the generative AI, and the output is the response data sent to the device.

[0312] Step 6:

[0313] The device receives the response and displays it to the user.

[0314] The terminal analyzes the responses received from the server and displays them in a user-friendly format. The display interface is designed to be intuitive and easy for users to understand, and may include screenshots or video clips in addition to text responses. The input is the response data from the server, and the output is the data displayed on the terminal screen.

[0315] Step 7:

[0316] The device recognizes the user's emotions.

[0317] The emotion engine built into the device analyzes the user's facial expressions and voice tone to recognize their emotions. The emotion engine uses the camera and microphone to capture the user's facial expressions and voice, and analyzes this data to determine the user's emotional state in real time. The input is the user's facial expressions and voice data, and the output is the analyzed emotion information.

[0318] Step 8:

[0319] The store staff wear smart glasses that display emotional information and responses in real time.

[0320] The system displays user emotion information recognized by the terminal and responses generated by AI in real time on smart glasses worn by store staff. This allows staff to quickly provide appropriate support to customers. The input is emotion information and response data from the terminal, and the output is the data displayed on the smart glasses. This series of steps enables efficient customer support within physical stores.

[0321] 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.

[0322] 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.

[0323] 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.

[0324] [Second Embodiment]

[0325] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0326] 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.

[0327] 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).

[0328] 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.

[0329] 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.

[0330] 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).

[0331] 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.

[0332] 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.

[0333] 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.

[0334] 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.

[0335] 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.

[0336] 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".

[0337] This invention is a system designed to help users efficiently perform initial setup and various settings on their smartphones. This system consists of a terminal, a server, and a generating AI.

[0338] First, the device selects a question from a list of provided questions. The device is a user-operated device such as a smartphone or tablet, and it accesses the settings app where a list of questions about settings is displayed. This list of questions includes predefined questions about a wide range of settings, and the user selects the question that matches their inquiry.

[0339] Next, the terminal sends the selected question to the server. This communication takes place over the internet and is implemented as a regular HTTP request. The terminal uploads the selected question to the server in a client-server format. At this time, the terminal's software module can also send metadata such as the question ID and user ID.

[0340] The server receives a question from the terminal and passes it to the generative AI. Upon receiving the question, the server immediately passes it as input to the appropriate AI model and requests an answer. Servers are often located in a cloud environment, and it is common for them to also have components that host the generative AI.

[0341] The generating AI receives questions from the server and generates appropriate answers. This AI uses natural language processing (NLP) techniques to understand the meaning of the questions and generate corresponding setup instructions and explanations. Based on the content of the question, the AI ​​provides the most effective answer for the user. For example, in response to the question, "How do I connect to Wi-Fi?", it generates detailed instructions such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0342] The server sends the generated response to the terminal. The response from the server includes the generated response text and, if necessary, supplementary materials such as images and videos. This allows the user to obtain not only text but also visually easy-to-understand information.

[0343] Finally, the device receives the response and displays it to the user. The device's software provides an interface to display the response in a user-friendly format. For example, in addition to text responses, screenshots and short video tutorials can also be displayed to help the user intuitively understand the setup procedure. This display interface supports the user in smoothly setting up their smartphone by following the instructed steps.

[0344] As a concrete example, consider a case where a user asks about "Wi-Fi settings." When the user selects the question "How do I connect to Wi-Fi?" in the device's settings app, the device sends this question to the server. The server passes the question to a generating AI, which generates the answer "Open the settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary." The server sends this answer to the device, which displays the answer to the user. The user can then complete the Wi-Fi setup by following the displayed instructions.

[0345] As described above, the present invention provides detailed and easy-to-understand instructions for users to configure their smartphones themselves, and can significantly reduce inquiries and complaints regarding settings.

[0346] The following describes the processing flow.

[0347] Step 1:

[0348] The device launches the settings app and displays a list of questions to the user. This list includes pre-prepared questions about settings.

[0349] Step 2:

[0350] The user selects the question that best applies to their question from the displayed list of questions. For example, they might select the question, "How do I connect to Wi-Fi?"

[0351] Step 3:

[0352] The terminal sends the user-selected question to the server. At the same time, it also sends the question ID and metadata (e.g., user ID, timestamp, etc.).

[0353] Step 4:

[0354] The server processes the questions received from the terminal and passes them to the generating AI. The server inputs the questions into the appropriate AI model and requests the generation of answers.

[0355] Step 5:

[0356] The AI ​​generator interprets the question and produces an appropriate answer. This answer includes detailed setup instructions and supplementary explanations. For example, it might say, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0357] Step 6:

[0358] The server sends the response obtained from the AI ​​generator to the device. The response includes not only text information but also links to images and videos as needed.

[0359] Step 7:

[0360] The terminal displays the response received from the server to the user. The terminal's software presents the received response to the user in an easy-to-understand format. For example, it may display screenshots or short video clips along with text instructions.

[0361] Step 8:

[0362] The user configures the device based on the displayed answers. The user follows the instructions and completes necessary settings, such as connecting to Wi-Fi, by operating the settings app.

[0363] Through these specific processing steps, users can understand the necessary setup procedures and properly configure their smartphones themselves.

[0364] (Example 1)

[0365] 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."

[0366] The initial setup and various settings of conventional smartphones and tablets are often complicated and difficult for users to understand. This leads to frequent inquiries and complaints about settings, resulting in a poor user experience. Furthermore, text-based instructions alone may not allow users to accurately understand the setup procedure, potentially leading to operational errors.

[0367] 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.

[0368] In this invention, the server includes means for the terminal to select a question from a provided list of questions, means for the terminal to transmit the selected question to the server via a network, means for the server to receive the question and pass the received question to a generative AI model, means for the generative AI model to generate an answer based on the question, means for the server to transmit the generated answer to the terminal, means for the terminal to receive the answer and display it to the user, and means for the user to configure the terminal based on the displayed answer. This enables the user to configure their smartphone or tablet intuitively and efficiently, contributing to a reduction in inquiries and complaints. Furthermore, including images and video guides in the generated answer can help the user understand and prevent configuration errors.

[0369] A "terminal" refers to a device operated by a user, such as a smartphone or tablet.

[0370] The "question list" refers to a set of predefined questions about a wide range of settings that are displayed in the settings app on your device.

[0371] A "server" refers to a computer device on a network that receives data from terminals via the internet and passes questions to the generated AI model.

[0372] A "network" refers to a system for transmitting data via the internet or other forms of remote communication.

[0373] A "generative AI model" refers to an artificial intelligence model that uses natural language processing technology to generate appropriate answers to questions from a device.

[0374] An "HTTP request" refers to a form of communication protocol used to send a question from a terminal to a server.

[0375] "Metadata" refers to auxiliary data that contains information about the data itself, such as a question ID or user ID.

[0376] "Answer" refers to information such as explanations and procedures generated by the generative AI model in response to a user's question.

[0377] "Image or video guide" refers to a media format that provides visual information to help users intuitively understand the setup procedure.

[0378] "Display screen layout" refers to the arrangement of the screen when displaying answers to the user on a device.

[0379] This invention is a system that assists users in efficiently performing initial setup and various settings on smartphones and tablets. This system consists of a terminal, a server, and a generative AI model.

[0380] First, the user operates their device to launch the Settings app. The device displays a list of questions related to a wide range of predefined settings. The user selects a question from this list that addresses their specific question. For example, they might choose the question, "How do I connect to Wi-Fi?"

[0381] Next, the terminal sends an HTTP request to the server containing the selected question. This request is made over the internet and includes metadata such as the question ID and user ID. The server parses the received request and extracts the content of the question.

[0382] The extracted questions are passed by the server as input to a generative AI model. The generative AI model uses natural language processing techniques to generate appropriate answers to the questions. For example, in response to the question "How do I connect to Wi-Fi?", it might create detailed instructions such as "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0383] The generated response is sent from the server to the terminal. The response from the server includes the generated response text, as well as supplementary materials such as images and videos as needed. The terminal displays the response received from the server to the user. The terminal's software displays the response in a format that is easy for the user to understand. For example, in addition to the text response, it may also display screenshots showing the operating procedure or a short video tutorial.

[0384] This allows users to intuitively configure their smartphone or tablet settings by following the displayed instructions. Examples of specific prompts include:

[0385] - "I want to set up my smartphone for the initial setup. How do I proceed?"

[0386] - "Please tell me how to install a new app."

[0387] - "How do I connect a Bluetooth device?"

[0388] This system provides users with an intuitive and easy-to-understand setup guide, contributing to a reduction in inquiries and complaints. In particular, the specific steps and visual guides generated by the generative AI model are effective in helping users successfully complete the setup process.

[0389] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0390] Step 1:

[0391] The user operates a device such as a smartphone or tablet and launches the settings app. The device displays a list of questions related to a wide range of predefined settings. At this time, the user selects a question, such as "How do I connect to Wi-Fi?". The user makes a selection from the list of questions as input, and the selected question is output.

[0392] Step 2:

[0393] The terminal generates an HTTP request based on the user's selected question. This request includes metadata such as the content of the selected question, the question ID, and the user ID. The terminal then sends this HTTP request to the server over the internet. The input is the selected question and metadata, and the output is the generated HTTP request to the server.

[0394] Step 3:

[0395] The server receives and parses HTTP requests from terminals. The server extracts the question content as a result of the analysis and passes it to the generative AI model. The input is an HTTP request, and the output is the extracted question content for the generative AI model. Specifically, this involves the server parsing the request and understanding the meaning of the question.

[0396] Step 4:

[0397] The generative AI model receives a question from the server and generates an appropriate answer using natural language processing techniques. The input is the question, and the output is detailed setup instructions and explanations. Specifically, the generative AI model analyzes the meaning of the question and generates the optimal answer accordingly.

[0398] Step 5:

[0399] The server receives the response from the generating AI model and sends it back to the terminal. The server's response includes not only the generated response text but also supplementary materials such as images and videos. The input is the generated response, and the output is the response sent to the terminal. Specifically, this involves a process of adding the necessary visual materials to the response.

[0400] Step 6:

[0401] The terminal analyzes the response received from the server and displays it to the user in an appropriate format. The terminal's software not only displays the response text but also, if necessary, screenshots and video tutorials. The input is the response from the server, and the output is what is displayed to the user. Specific actions include dynamic adjustments to the user interface and the display of visual guides.

[0402] This series of processing steps allows users to configure their smartphones and tablets intuitively and smoothly.

[0403] (Application Example 1)

[0404] 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."

[0405] Currently, users of content delivery services often encounter problems and questions regarding setup and usage. To address these issues, an easily accessible support system is needed. Furthermore, support that can accommodate a wider range of users is required, provided in diverse languages ​​and with visual explanations. Current support systems are limited to specific languages ​​and text-based formats, and improvements are needed to enhance the user experience.

[0406] 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.

[0407] In this invention, the server includes means for a terminal to select a question from a provided list of questions, means for the terminal to send the selected question to the server, and means for a generating AI to generate an answer to the question. This enables users to obtain intuitive and specific answers, including multimedia materials, in real time to questions regarding content delivery settings and viewing.

[0408] A "device" is an electronic device used by a user, and includes smartphones, tablets, and other similar devices.

[0409] A "server" is a computer system that processes and manages information through a network, and in this invention, it is responsible for receiving questions from users, forwarding them to the generating AI, and returning answers.

[0410] A "list of questions" is a predefined list containing numerous question items that the user can select from.

[0411] "Generative AI" is an artificial intelligence model that uses natural language processing technology to generate answers to user questions.

[0412] "Multilingualism" means supporting multiple different languages, providing an environment where users can ask and answer questions in the language they understand best.

[0413] "Multimedia materials" refer to supplementary materials that provide information in formats other than text, such as images and videos.

[0414] A "user profile" is a collection of data based on a user's individual settings and past operation history, and the display interface is customized based on this.

[0415] A "display interface" refers to the screen on a device that displays answers to the user, and is designed to allow the user to easily understand the information.

[0416] This invention is a system that uses terminals such as smartphones and tablets, servers, and generating AI to provide real-time answers to questions and problems that users may have when setting up and using content distribution services.

[0417] First, a list of questions is provided on the user's device, and the user selects a question that is appropriate for their question from this list. The selected question is then sent to the server via the device.

[0418] The server receives questions sent over the internet and passes them to a generative AI model. The server is often located in a cloud environment and includes components that host the generative AI. This generative AI uses natural language processing techniques to understand the meaning of the questions and generate appropriate answers.

[0419] The generated responses may include not only text but also multimedia materials such as images and videos. The server sends this information back to the terminal, which then displays the received responses and materials to the user. The display interface is dynamically adjusted based on the user profile and is designed to allow the user to understand the information more intuitively.

[0420] For example, if a user selects the question "How can I stream in high quality?", that question is passed to the AI ​​generator via the server, and an answer like the following is generated:

[0421] "To stream in high definition, open the Settings app, select [Streaming Quality], and choose the [High Definition] option. Internet connection speed is also important, so a Wi-Fi connection is recommended."

[0422] This response will be sent to the terminal via the server and displayed to the user. The response may also include screenshots of the setup procedure and video tutorials as needed.

[0423] Examples of prompt statements include the following:

[0424] "User question: How can I stream in high definition? Please provide answers related to content delivery services."

[0425] This system allows users to not only access content delivery services smoothly but also receive appropriate support in real time. The hardware and software used include user terminals (smartphones and tablets), servers that process questions, and generative AI models (e.g., using the OpenAI API).

[0426] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0427] Step 1:

[0428] The user operates the device and selects a question from the provided list of questions.

[0429] Input: User actions, list of questions

[0430] Output: Selected Questions

[0431] Specific actions: The user opens the application on their device and taps the question that corresponds to their question from the displayed list of questions.

[0432] Step 2:

[0433] The device sends the selected question to the server.

[0434] Input: Selected question

[0435] Output: Sending data in HTTP request format

[0436] Specific operation: The application on the device sends data containing the selected question to the server as an HTTP request. This data also includes the question ID and user ID.

[0437] Step 3:

[0438] The server receives the selected question and passes it to the generating AI.

[0439] Input: HTTP request containing the selected question

[0440] Output: Prompt message to pass to the generating AI

[0441] Specific operation: The server analyzes the received request, extracts the question content, and converts it into a prompt sentence in a format suitable for the generating AI. Then, it sends this prompt sentence to the generating AI.

[0442] Step 4:

[0443] The generative AI generates answers to the questions.

[0444] Input: Prompt message

[0445] Output: Text of the detailed answer to the question

[0446] Specific operation: The generating AI uses natural language processing technology to analyze the received prompt and generate an appropriate response. This response includes specific steps and, if necessary, links to visual materials.

[0447] Step 5:

[0448] The server sends the generated response to the terminal.

[0449] Input: Response text from the generated AI

[0450] Output: Sending data in HTTP response format

[0451] Specific operation: The server receives the generated response and sends it to the terminal as an HTTP response. Images and video links are also included in this response, if necessary.

[0452] Step 6:

[0453] The device receives the response and displays it to the user.

[0454] Input: HTTP response from the server

[0455] Output: Responses and multimedia materials displayed to the user.

[0456] Specific operation: The terminal analyzes the received response and displays the response text and, if necessary, images or videos. The display interface is dynamically adjusted based on the user profile.

[0457] Step 7:

[0458] The device settings are configured based on the user's displayed responses.

[0459] Input: Displayed answers and multimedia materials

[0460] Output: Changes to terminal settings due to user actions

[0461] Specific actions: The user follows the displayed instructions and changes settings by operating the device's settings app. For example, to set the streaming quality to high definition, the user opens the designated settings screen and changes the setting options.

[0462] 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.

[0463] This invention is a system designed to help users efficiently perform initial setup and various settings on their smartphones, and further incorporates an emotion engine that recognizes the user's emotions. This system consists of a terminal, a server, a generative AI, and an emotion engine.

[0464] First, the device launches the Settings app and displays a list of questions to the user. This list contains pre-prepared questions about settings. The user selects the question that matches their question. For example, they might select the question, "How do I connect to Wi-Fi?"

[0465] Next, the terminal sends the selected question to the server. This communication takes place over the internet and is implemented as a regular HTTP request. The terminal uploads the selected question to the server in a client-server format. At this time, metadata such as the question ID and user ID are also sent.

[0466] The server receives a question from the terminal and passes it to the generative AI. Upon receiving the question, the server immediately passes it as input to the appropriate AI model and generates an answer. The server is typically located in a cloud environment and also houses a component that hosts the generative AI.

[0467] The generating AI produces appropriate answers to questions provided by the server. This AI uses natural language processing (NLP) techniques to understand the meaning of the questions and provide corresponding setup instructions and explanations. For example, it might generate an answer such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0468] The server sends the response to the terminal. The response from the server may include not only the text information of the generated response, but also images and video guides to help the user understand it.

[0469] Next, the terminal displays the response received from the server to the user. The display interface is designed to allow the user to intuitively understand the response, so in addition to text instructions, relevant screenshots and video clips are displayed.

[0470] A further feature of this invention is that the terminal is equipped with an emotion engine. The emotion engine analyzes the user's facial expressions and voice tone, etc., to recognize the user's emotions. This emotion information is used to adjust the content and display method of the responses provided by the generating AI in real time.

[0471] As a concrete example, consider a case where the user asks about "Wi-Fi settings." If the user selects the question "How do I connect to Wi-Fi?", the device sends this question to the server. The server passes the question to the generating AI, which generates the answer "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary." The server sends the generated answer to the device, and the device displays the answer to the user.

[0472] In this process, if the emotion engine recognizes confusion or anxiety from the user's facial expressions, the generating AI will modify the content to provide more detailed instructions or supplementary explanations. For example, additional messages such as "Please refer to the image guide" or "Would you like to play the video tutorial?" will be displayed. In this way, the content and display format of the responses are dynamically adjusted according to the user's emotions, allowing the user to complete the setup more comfortably.

[0473] As described above, the present invention provides detailed and easy-to-understand instructions for users to configure their smartphones themselves. Furthermore, by combining this with an emotion engine, it enables flexible support tailored to the user's emotions, significantly reducing inquiries and complaints regarding settings.

[0474] The following describes the processing flow.

[0475] Step 1:

[0476] The device launches the settings app and displays a list of questions to the user. This list includes pre-prepared questions about the initial setup and various settings of the smartphone. For example, it may include questions about Wi-Fi settings, Bluetooth settings, and more.

[0477] Step 2:

[0478] The user selects a question from a list that matches their question. For example, they might select the question, "How do I connect to Wi-Fi?" When the user taps a question, that question is selected.

[0479] Step 3:

[0480] The device sends the selected question to the server. The device sends data including the selected question ID and user ID to the server as an HTTP request. For example, it sends a request to an API endpoint such as POST / send_question.

[0481] Step 4:

[0482] The server processes the question data received from the terminal and passes the question to the question-generating AI. The server converts the received question into an appropriate format and passes it as input to the AI ​​model.

[0483] Step 5:

[0484] The generating AI interprets the question and generates an appropriate answer. This AI uses natural language processing technology to understand the meaning of the question and generates corresponding setup steps and explanations. For example, it might generate an answer such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0485] Step 6:

[0486] The server receives the response generated by the AI ​​and sends it to the terminal. The response from the server includes the text information of the generated response. Supplementary materials such as images and video guides are also included as needed.

[0487] Step 7:

[0488] The device displays the received response to the user. The device's software displays the response in a format that is easy for the user to understand. For example, it displays text instructions and related screenshots.

[0489] Step 8:

[0490] Based on the displayed response, the device activates an emotion engine that analyzes the user's facial expressions and tone of voice. The emotion engine uses the camera and microphone to analyze the user's facial expressions and voice, and recognizes the user's emotional state (e.g., confusion, anxiety, joy).

[0491] Step 9:

[0492] The emotion engine recognizes the user's emotions and feeds that information back to the generating AI. For example, if the user has a confused expression, that information is sent to the generating AI.

[0493] Step 10:

[0494] The generating AI dynamically adjusts its responses based on the user's emotional state. For example, if it detects confusion, the generating AI will generate more detailed instructions or additional explanations. Conversely, if it detects relaxation, it will determine that a concise explanation is sufficient.

[0495] Step 11:

[0496] The server sends the updated response from the AI ​​generator to the device, and the device redisplays that response. The device then displays the newly generated text instructions, as well as any additional screenshots or videos, to the user.

[0497] Step 12:

[0498] The user configures their device based on the displayed answers. The user follows the instructions and completes settings such as connecting to Wi-Fi by operating the settings app.

[0499] By going through the above processing steps, users can efficiently configure their smartphone settings themselves, and by using the emotion engine, they can receive flexible support tailored to their psychological state.

[0500] (Example 2)

[0501] 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".

[0502] Many users struggle with the complexity and lack of understanding of the procedures when setting up or configuring their smartphones. Furthermore, the provided setup guides are often formulaic and fail to adapt to individual user difficulties and concerns, resulting in insufficient support. Consequently, the setup process is stressful for users and difficult to complete efficiently.

[0503] 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.

[0504] In this invention, the server includes means for the terminal to select a question from a provided list of questions, means for the terminal to send the selected question to the server, means for the server to receive the question and pass it on to a generative AI model, means for the generative AI model to generate an answer to the question, means for the server to send the generated answer to the terminal, means for the terminal to receive the answer and display it to the user, means for the user to configure the terminal based on the displayed answer, and means for the terminal to use an emotion engine that recognizes the user's emotions to adjust the content and display method of the answer provided by the generative AI model in real time. As a result, the user can get quick and accurate answers to their questions and receive appropriate support according to their confusion and anxiety, making it possible to configure their smartphone more comfortably and efficiently.

[0505] A "terminal" is an electronic device used by a user, whose role is to select a question, send it to the server, and receive and display the answer.

[0506] A "server" is a central processing unit that receives questions sent from terminals, passes them to a generative AI model to generate answers, and then sends those answers back to the terminals.

[0507] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to generate appropriate answers to questions provided by a server.

[0508] An "emotion engine" is a technology that analyzes the user's facial expressions and voice tone to recognize their emotions, and is used to adjust the content and display method of the responses provided by the generative AI model.

[0509] "Answer" refers to explanations and setup procedures generated by a generative AI model based on the user's question, and may include images or video guides.

[0510] A "question list" is a collection of pre-prepared questions provided by the settings app to the user regarding the initial setup and various settings of their smartphone.

[0511] A "user" is an individual who uses a device to select questions, receive answers, and configure their smartphone settings.

[0512] The "client-server model" is a communication format in which the terminal functions as the client and the server performs central processing.

[0513] This invention is a system designed to help users efficiently perform initial setup and various settings on their smartphones, and further incorporates an emotion engine that recognizes the user's emotions. This system consists of a terminal, a server, a generative AI model, and an emotion engine.

[0514] First, the device launches the Settings app and displays a list of questions to the user. This list contains pre-prepared questions about settings. The user selects the question that matches their question. For example, they might select the question, "How do I connect to Wi-Fi?"

[0515] Next, the terminal sends the selected question to the server. This communication takes place over the internet and is implemented as a regular HTTP request. The terminal uploads the selected question to the server in a client-server format, sending metadata such as the question ID and user ID along with it.

[0516] The server receives a question from the terminal and passes that question to a generative AI model. The server is located in a cloud environment and has a component that hosts the generative AI model. As soon as the server receives a question, it passes the question as input to the appropriate generative AI model and generates an answer.

[0517] The generative AI model generates appropriate answers to questions provided by the server. This AI model uses natural language processing (NLP) techniques to understand the meaning of the questions and provide corresponding setup instructions and explanations. For example, it might generate an answer such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0518] The server sends the generated response to the terminal. The response from the server may include not only the text information of the generated response, but also images and video guides to help the user understand it.

[0519] Next, the terminal displays the response received from the server to the user. The display interface is designed to allow the user to intuitively understand the response, and in addition to text instructions, relevant screenshots and video clips are displayed.

[0520] A further feature of this invention is that the terminal is equipped with an emotion engine. The emotion engine analyzes the user's facial expressions and voice tone to recognize the user's emotions. This emotion information is used to adjust the content and display method of the responses provided by the generative AI model in real time.

[0521] As a concrete example, consider a case where a user asks about "Wi-Fi settings." If the user selects the question "How do I connect to Wi-Fi?", the device sends this question to the server. The server passes the question to a generative AI model, which generates the answer "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary." The server sends the generated answer to the device, and the device displays the answer to the user.

[0522] In this case, if the emotion engine recognizes confusion or anxiety from the user's facial expressions, the generative AI model will modify its content to provide more detailed instructions or supplementary explanations. For example, additional messages such as "Please proceed while referring to the image guide" or "Would you like to play the video tutorial?" may be displayed.

[0523] Examples of prompt statements:

[0524] "The user selected the question 'How do I connect to Wi-Fi?', and the emotion engine analyzed the user's facial expressions and tone of voice to determine that they were confused. Please generate a more detailed response, supplementary explanations, and additional guidance such as image guides or video tutorials."

[0525] Thus, the present invention provides detailed and easy-to-understand instructions for users to configure their smartphones themselves, and by combining this with an emotion engine, it enables flexible support tailored to the user's emotions, significantly reducing inquiries and complaints regarding settings.

[0526] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0527] The processing flow of this system's program is divided into processing steps.

[0528] The system's program processing will be explained according to the following steps.

[0529] Step 1:

[0530] The device launches the settings app and prepares to display a list of questions. The device retrieves pre-configured question data from a local or remote database. This list of questions includes items that users frequently ask about their smartphone settings.

[0531] Input: Request to launch the Settings app

[0532] Data processing: Acquisition and formatting of questionnaire data

[0533] Output: Display of question list

[0534] Step 2:

[0535] The user selects the question that best matches their question from the displayed list of questions. For example, they might select the question, "How do I connect to Wi-Fi?"

[0536] Input: Question selection via user touch operation

[0537] Output: Selected Question ID

[0538] Step 3:

[0539] The terminal sends the selected question to the server. Communication takes place via the internet as an HTTP request. The terminal generates a request that includes the question ID and user ID as metadata and sends it to the server.

[0540] Input: Selected Question ID, User ID

[0541] Data processing: Generation of HTTP requests

[0542] Output: Sending a query request to the server

[0543] Step 4:

[0544] The server analyzes the question received from the terminal and passes the question to the generative AI model. The server uses the question ID to retrieve the appropriate question content from the database and sends a request to the generative AI model's API endpoint.

[0545] Input: Question ID, User ID

[0546] Data processing: Retrieving question content, generating AI model API requests.

[0547] Output: Send the question to the AI ​​model.

[0548] Step 5:

[0549] The generative AI model generates appropriate answers to questions provided by the server. The generative AI model uses natural language processing techniques to understand the meaning of the questions and generates answers that include setup instructions and explanations. For example, it might generate an answer such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0550] Input: Question content

[0551] Data processing: Answer generation using natural language processing

[0552] Output: Generated answer

[0553] Step 6:

[0554] The server receives the generated response and sends it to the terminal. If the response from the generating AI model includes images or video guides, the server generates a response that includes them.

[0555] Input: Generated answer

[0556] Data processing: Generation of HTTP response

[0557] Output: Sending response to terminal

[0558] Step 7:

[0559] The terminal displays the response received from the server to the user. The display interface is designed to allow the user to intuitively understand the response, and relevant screenshots and video clips are displayed along with text instructions.

[0560] Input: Response from the server

[0561] Data processing: Analysis of response content and generation of display screen.

[0562] Output: Display to the user

[0563] Step 8:

[0564] The emotion engine built into the device analyzes the user's facial expressions and voice tone to recognize their emotions. If the emotion engine detects confusion or anxiety in the user, it feeds that information back into the generating AI model to adjust the response.

[0565] Input: User's facial expressions and voice data

[0566] Data processing: Sentiment analysis, feedback to generative AI models.

[0567] Output: Display of adjusted answers

[0568] Specifically, if a user selects the question "How do I connect to Wi-Fi?" and the emotion engine detects confusion from the user's facial expression, additional instructions such as "Please refer to the image guide" or "Would you like to play the video tutorial?" will be displayed. In this way, the content and display format of the responses are dynamically adjusted according to the user's emotions.

[0569] Based on the above processing steps, this system is designed to allow users to configure their smartphones efficiently and without stress.

[0570] (Application Example 2)

[0571] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0572] Providing customer support in physical stores can be challenging, as customers often face difficulties setting up or troubleshooting their devices. This is especially true for tech-savvy or elderly customers, who may find the device setup process confusing and stressful. Furthermore, time and staffing constraints make it difficult for store employees to provide prompt and accurate support to all customers. Therefore, a more efficient and flexible support system is needed to enhance customer satisfaction.

[0573] 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.

[0574] In this invention, the server includes means for the terminal to select a question from a provided list of questions, means for the terminal to send the selected question to the server, means for the server to receive the question and pass it on to a generating AI, means for the generating AI to generate an answer to the question, means for the server to send the generated answer to the terminal, means for the terminal to receive the answer and display it to the user, means for the user to configure the terminal based on the displayed answer, means for the terminal to be equipped with an emotion engine that recognizes the user's emotions and adjust the content and display method of the answer provided by the generating AI according to the user's emotions, and means for displaying emotion information and the answer in real time on smart glasses worn by a store employee. As a result, when customers receive technical support in a physical store, they can be provided with customized answers according to their individual emotional state, and can efficiently and safely configure their devices with the assistance of a store employee.

[0575] A "device" refers to an electronic device that the user directly operates, such as a smartphone or tablet.

[0576] A "server" is a computer system that manages communication with terminals via a network and performs data processing and hosts AI generation.

[0577] The "Question List" is a list of pre-prepared questions about settings and troubleshooting that users can select on their device.

[0578] "Generative AI" refers to an artificial intelligence system that uses natural language processing technology to generate answers to user questions.

[0579] "Answers" refer to information such as explanatory text, instructions, images, and video guides generated by the AI ​​in response to a user's question.

[0580] An "emotion engine" is a system that analyzes a user's facial expressions and voice tone to recognize their emotions.

[0581] "Smart glasses" are glasses-type electronic devices that, when worn, visually display information and provide real-time information.

[0582] A "user" refers to a person who operates the device, selects questions, and performs settings and troubleshooting.

[0583] A "display interface" is a mechanism for visually displaying information on a device screen, and it is designed to be intuitively understandable to the user.

[0584] "Store clerk" refers to an employee who provides support to customers in a physical store.

[0585] This invention provides a system for providing efficient and flexible customer support in physical stores. The system consists of a terminal, a server, a generative AI, an emotion engine, and smart glasses worn by store employees.

[0586] First, customers ask questions using tablet or robotic terminals within the store. The terminals display a pre-prepared list of questions, from which customers select a question. Questions include "How do I connect to Wi-Fi?", "How do I install a new app?", and "How do I enhance my smartphone's security settings?". The selected question is sent to the server as an HTTP request via the internet.

[0587] The server receives a question from the device and passes it to the generative AI. Specifically, the generative AI model is hosted on the server, and the server passes the question as input to the generative AI model to generate an answer using natural language processing technology. For example, it might generate an answer such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0588] Next, the server sends the generated response to the terminal. The terminal receives the response and displays it to the user. The display interface is designed to allow the user to intuitively understand the response, and in addition to text instructions, relevant screenshots and video clips are displayed.

[0589] Furthermore, the device is equipped with an emotion engine that analyzes the user's facial expressions and voice tone to recognize emotions. This emotion information is fed back to the generating AI and server in real time, dynamically adjusting the content and display method of the responses provided by the generating AI according to the user's emotions. For example, if the user shows a confused expression, the generating AI will change to provide more detailed instructions or supplementary explanations.

[0590] Furthermore, the smart glasses worn by the staff display emotional information and responses in real time, enabling them to provide appropriate support to customers. These smart glasses are useful for quickly understanding what problems customers are facing and providing effective advice on the spot.

[0591] As a concrete example, the following prompt text will be input to the generation AI to produce an appropriate response:

[0592] "How do I connect to Wi-Fi?"

[0593] "How do I install a new app?"

[0594] "How can I strengthen my smartphone's security settings?"

[0595] This invention allows customers to receive customized answers tailored to their individual emotional state when receiving technical support in a physical store, enabling them to efficiently and confidently configure their devices with the assistance of store staff.

[0596] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0597] Step 1:

[0598] The user selects a question on their device.

[0599] The user selects a question from a pre-prepared list using a tablet or robotic terminal in the physical store. The terminal receives the user's input and generates request data, including the question ID and user ID. This generated request data is then sent to the next step.

[0600] Step 2:

[0601] The device sends the selected question to the server.

[0602] The terminal sends the user-selected question as request data to the server via the internet. This transmission is in the format of a standard HTTP request and is received on the server side. The input is the user-selected question data, and the output is the arrival of this data to the server.

[0603] Step 3:

[0604] The server passes the question to the question generation AI.

[0605] The server receives questions sent from the terminal and passes them as input to the generative AI model. The server analyzes the received data and provides the appropriate generative AI model with input data as prompts. During this process, data preprocessing and format conversion are performed. The input is the request data from the terminal, and the output is the prompt to the generative AI.

[0606] Step 4:

[0607] The generative AI generates answers to questions.

[0608] The generative AI model generates appropriate answers to questions based on prompts provided by the server. Using natural language processing techniques, the generative AI analyzes the input prompts, understands their meaning, and creates appropriate response text. For example, in response to the question, "How do I connect to Wi-Fi?", it generates the answer, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary." The input is the prompt, and the output is the generated text response.

[0609] Step 5:

[0610] The server sends the generated response to the terminal.

[0611] The server receives the response generated by the generative AI and sends it as a response to the device that sent the request. When the server sends the response to the device, it includes supplementary information such as images and video guides as needed. The input is the response data generated by the generative AI, and the output is the response data sent to the device.

[0612] Step 6:

[0613] The device receives the response and displays it to the user.

[0614] The terminal analyzes the responses received from the server and displays them in a user-friendly format. The display interface is designed to be intuitive and easy for users to understand, and may include screenshots or video clips in addition to text responses. The input is the response data from the server, and the output is the data displayed on the terminal screen.

[0615] Step 7:

[0616] The device recognizes the user's emotions.

[0617] The emotion engine built into the device analyzes the user's facial expressions and voice tone to recognize their emotions. The emotion engine uses the camera and microphone to capture the user's facial expressions and voice, and analyzes this data to determine the user's emotional state in real time. The input is the user's facial expressions and voice data, and the output is the analyzed emotion information.

[0618] Step 8:

[0619] The store staff wear smart glasses that display emotional information and responses in real time.

[0620] The system displays user emotion information recognized by the terminal and responses generated by AI in real time on smart glasses worn by store staff. This allows staff to quickly provide appropriate support to customers. The input is emotion information and response data from the terminal, and the output is the data displayed on the smart glasses. This series of steps enables efficient customer support within physical stores.

[0621] 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.

[0622] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0623] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0624] [Third Embodiment]

[0625] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0626] 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.

[0627] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0628] The 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.

[0629] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0630] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0631] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0632] 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.

[0633] 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.

[0634] 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.

[0635] 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.

[0636] 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".

[0637] This invention is a system designed to help users efficiently perform initial setup and various settings on their smartphones. This system consists of a terminal, a server, and a generating AI.

[0638] First, the device selects a question from a list of provided questions. The device is a user-operated device such as a smartphone or tablet, and it accesses the settings app where a list of questions about settings is displayed. This list of questions includes predefined questions about a wide range of settings, and the user selects the question that matches their inquiry.

[0639] Next, the terminal sends the selected question to the server. This communication takes place over the internet and is implemented as a regular HTTP request. The terminal uploads the selected question to the server in a client-server format. At this time, the terminal's software module can also send metadata such as the question ID and user ID.

[0640] The server receives a question from the terminal and passes it to the generative AI. Upon receiving the question, the server immediately passes it as input to the appropriate AI model and requests an answer. Servers are often located in a cloud environment, and it is common for them to also have components that host the generative AI.

[0641] The generating AI receives questions from the server and generates appropriate answers. This AI uses natural language processing (NLP) techniques to understand the meaning of the questions and generate corresponding setup instructions and explanations. Based on the content of the question, the AI ​​provides the most effective answer for the user. For example, in response to the question, "How do I connect to Wi-Fi?", it generates detailed instructions such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0642] The server sends the generated response to the terminal. The response from the server includes the generated response text and, if necessary, supplementary materials such as images and videos. This allows the user to obtain not only text but also visually easy-to-understand information.

[0643] Finally, the device receives the response and displays it to the user. The device's software provides an interface to display the response in a user-friendly format. For example, in addition to text responses, screenshots and short video tutorials can also be displayed to help the user intuitively understand the setup procedure. This display interface supports the user in smoothly setting up their smartphone by following the instructed steps.

[0644] As a concrete example, consider a case where a user asks about "Wi-Fi settings." When the user selects the question "How do I connect to Wi-Fi?" in the device's settings app, the device sends this question to the server. The server passes the question to a generating AI, which generates the answer "Open the settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary." The server sends this answer to the device, which displays the answer to the user. The user can then complete the Wi-Fi setup by following the displayed instructions.

[0645] As described above, the present invention provides detailed and easy-to-understand instructions for users to configure their smartphones themselves, and can significantly reduce inquiries and complaints regarding settings.

[0646] The following describes the processing flow.

[0647] Step 1:

[0648] The device launches the settings app and displays a list of questions to the user. This list includes pre-prepared questions about settings.

[0649] Step 2:

[0650] The user selects the question that best applies to their question from the displayed list of questions. For example, they might select the question, "How do I connect to Wi-Fi?"

[0651] Step 3:

[0652] The terminal sends the user-selected question to the server. At the same time, it also sends the question ID and metadata (e.g., user ID, timestamp, etc.).

[0653] Step 4:

[0654] The server processes the questions received from the terminal and passes them to the generating AI. The server inputs the questions into the appropriate AI model and requests the generation of answers.

[0655] Step 5:

[0656] The AI ​​generator interprets the question and produces an appropriate answer. This answer includes detailed setup instructions and supplementary explanations. For example, it might say, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0657] Step 6:

[0658] The server sends the response obtained from the AI ​​generator to the device. The response includes not only text information but also links to images and videos as needed.

[0659] Step 7:

[0660] The terminal displays the response received from the server to the user. The terminal's software presents the received response to the user in an easy-to-understand format. For example, it may display screenshots or short video clips along with text instructions.

[0661] Step 8:

[0662] The user configures the device based on the displayed answers. The user follows the instructions and completes necessary settings, such as connecting to Wi-Fi, by operating the settings app.

[0663] Through these specific processing steps, users can understand the necessary setup procedures and properly configure their smartphones themselves.

[0664] (Example 1)

[0665] 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."

[0666] The initial setup and various settings of conventional smartphones and tablets are often complicated and difficult for users to understand. This leads to frequent inquiries and complaints about settings, resulting in a poor user experience. Furthermore, text-based instructions alone may not allow users to accurately understand the setup procedure, potentially leading to operational errors.

[0667] 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.

[0668] In this invention, the server includes means for the terminal to select a question from a provided list of questions, means for the terminal to transmit the selected question to the server via a network, means for the server to receive the question and pass the received question to a generative AI model, means for the generative AI model to generate an answer based on the question, means for the server to transmit the generated answer to the terminal, means for the terminal to receive the answer and display it to the user, and means for the user to configure the terminal based on the displayed answer. This enables the user to configure their smartphone or tablet intuitively and efficiently, contributing to a reduction in inquiries and complaints. Furthermore, including images and video guides in the generated answer can help the user understand and prevent configuration errors.

[0669] A "terminal" refers to a device operated by a user, such as a smartphone or tablet.

[0670] The "question list" refers to a set of predefined questions about a wide range of settings that are displayed in the settings app on your device.

[0671] A "server" refers to a computer device on a network that receives data from terminals via the internet and passes questions to the generated AI model.

[0672] A "network" refers to a system for transmitting data via the internet or other forms of remote communication.

[0673] A "generative AI model" refers to an artificial intelligence model that uses natural language processing technology to generate appropriate answers to questions from a device.

[0674] An "HTTP request" refers to a form of communication protocol used to send a question from a terminal to a server.

[0675] "Metadata" refers to auxiliary data that contains information about the data itself, such as a question ID or user ID.

[0676] "Answer" refers to information such as explanations and procedures generated by the generative AI model in response to a user's question.

[0677] "Image or video guide" refers to a media format that provides visual information to help users intuitively understand the setup procedure.

[0678] "Display screen layout" refers to the arrangement of the screen when displaying answers to the user on a device.

[0679] This invention is a system that assists users in efficiently performing initial setup and various settings on smartphones and tablets. This system consists of a terminal, a server, and a generative AI model.

[0680] First, the user operates their device to launch the Settings app. The device displays a list of questions related to a wide range of predefined settings. The user selects a question from this list that addresses their specific question. For example, they might choose the question, "How do I connect to Wi-Fi?"

[0681] Next, the terminal sends an HTTP request to the server containing the selected question. This request is made over the internet and includes metadata such as the question ID and user ID. The server parses the received request and extracts the content of the question.

[0682] The extracted questions are passed by the server as input to a generative AI model. The generative AI model uses natural language processing techniques to generate appropriate answers to the questions. For example, in response to the question "How do I connect to Wi-Fi?", it might create detailed instructions such as "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0683] The generated response is sent from the server to the terminal. The response from the server includes the generated response text, as well as supplementary materials such as images and videos as needed. The terminal displays the response received from the server to the user. The terminal's software displays the response in a format that is easy for the user to understand. For example, in addition to the text response, it may also display screenshots showing the operating procedure or a short video tutorial.

[0684] This allows users to intuitively configure their smartphone or tablet settings by following the displayed instructions. Examples of specific prompts include:

[0685] - "I want to set up my smartphone for the initial setup. How do I proceed?"

[0686] - "Please tell me how to install a new app."

[0687] - "How do I connect a Bluetooth device?"

[0688] This system provides users with an intuitive and easy-to-understand setup guide, contributing to a reduction in inquiries and complaints. In particular, the specific steps and visual guides generated by the generative AI model are effective in helping users successfully complete the setup process.

[0689] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0690] Step 1:

[0691] The user operates a device such as a smartphone or tablet and launches the settings app. The device displays a list of questions related to a wide range of predefined settings. At this time, the user selects a question, such as "How do I connect to Wi-Fi?". The user makes a selection from the list of questions as input, and the selected question is output.

[0692] Step 2:

[0693] The terminal generates an HTTP request based on the user's selected question. This request includes metadata such as the content of the selected question, the question ID, and the user ID. The terminal then sends this HTTP request to the server over the internet. The input is the selected question and metadata, and the output is the generated HTTP request to the server.

[0694] Step 3:

[0695] The server receives and parses HTTP requests from terminals. The server extracts the question content as a result of the analysis and passes it to the generative AI model. The input is an HTTP request, and the output is the extracted question content for the generative AI model. Specifically, this involves the server parsing the request and understanding the meaning of the question.

[0696] Step 4:

[0697] The generative AI model receives a question from the server and generates an appropriate answer using natural language processing techniques. The input is the question, and the output is detailed setup instructions and explanations. Specifically, the generative AI model analyzes the meaning of the question and generates the optimal answer accordingly.

[0698] Step 5:

[0699] The server receives the response from the generating AI model and sends it back to the terminal. The server's response includes not only the generated response text but also supplementary materials such as images and videos. The input is the generated response, and the output is the response sent to the terminal. Specifically, this involves a process of adding the necessary visual materials to the response.

[0700] Step 6:

[0701] The terminal analyzes the response received from the server and displays it to the user in an appropriate format. The terminal's software not only displays the response text but also, if necessary, screenshots and video tutorials. The input is the response from the server, and the output is what is displayed to the user. Specific actions include dynamic adjustments to the user interface and the display of visual guides.

[0702] This series of processing steps allows users to configure their smartphones and tablets intuitively and smoothly.

[0703] (Application Example 1)

[0704] 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."

[0705] Currently, users of content delivery services often encounter problems and questions regarding setup and usage. To address these issues, an easily accessible support system is needed. Furthermore, support that can accommodate a wider range of users is required, provided in diverse languages ​​and with visual explanations. Current support systems are limited to specific languages ​​and text-based formats, and improvements are needed to enhance the user experience.

[0706] 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.

[0707] In this invention, the server includes means for a terminal to select a question from a provided list of questions, means for the terminal to send the selected question to the server, and means for a generating AI to generate an answer to the question. This enables users to obtain intuitive and specific answers, including multimedia materials, in real time to questions regarding content delivery settings and viewing.

[0708] A "device" is an electronic device used by a user, and includes smartphones, tablets, and other similar devices.

[0709] A "server" is a computer system that processes and manages information through a network, and in this invention, it is responsible for receiving questions from users, forwarding them to the generating AI, and returning answers.

[0710] A "list of questions" is a predefined list containing numerous question items that the user can select from.

[0711] "Generative AI" is an artificial intelligence model that uses natural language processing technology to generate answers to user questions.

[0712] "Multilingualism" means supporting multiple different languages, providing an environment where users can ask and answer questions in the language they understand best.

[0713] "Multimedia materials" refer to supplementary materials that provide information in formats other than text, such as images and videos.

[0714] A "user profile" is a collection of data based on a user's individual settings and past operation history, and the display interface is customized based on this.

[0715] A "display interface" refers to the screen on a device that displays answers to the user, and is designed to allow the user to easily understand the information.

[0716] This invention is a system that uses terminals such as smartphones and tablets, servers, and generating AI to provide real-time answers to questions and problems that users may have when setting up and using content distribution services.

[0717] First, a list of questions is provided on the user's device, and the user selects a question that is appropriate for their question from this list. The selected question is then sent to the server via the device.

[0718] The server receives questions sent over the internet and passes them to a generative AI model. The server is often located in a cloud environment and includes components that host the generative AI. This generative AI uses natural language processing techniques to understand the meaning of the questions and generate appropriate answers.

[0719] The generated responses may include not only text but also multimedia materials such as images and videos. The server sends this information back to the terminal, which then displays the received responses and materials to the user. The display interface is dynamically adjusted based on the user profile and is designed to allow the user to understand the information more intuitively.

[0720] For example, if a user selects the question "How can I stream in high quality?", that question is passed to the AI ​​generator via the server, and an answer like the following is generated:

[0721] "To stream in high definition, open the Settings app, select [Streaming Quality], and choose the [High Definition] option. Internet connection speed is also important, so a Wi-Fi connection is recommended."

[0722] This response will be sent to the terminal via the server and displayed to the user. The response may also include screenshots of the setup procedure and video tutorials as needed.

[0723] Examples of prompt statements include the following:

[0724] "User question: How can I stream in high definition? Please provide answers related to content delivery services."

[0725] This system allows users to not only access content delivery services smoothly but also receive appropriate support in real time. The hardware and software used include user terminals (smartphones and tablets), servers that process questions, and generative AI models (e.g., using the OpenAI API).

[0726] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0727] Step 1:

[0728] The user operates the device and selects a question from the provided list of questions.

[0729] Input: User actions, list of questions

[0730] Output: Selected Questions

[0731] Specific actions: The user opens the application on their device and taps the question that corresponds to their question from the displayed list of questions.

[0732] Step 2:

[0733] The device sends the selected question to the server.

[0734] Input: Selected question

[0735] Output: Sending data in HTTP request format

[0736] Specific operation: The application on the device sends data containing the selected question to the server as an HTTP request. This data also includes the question ID and user ID.

[0737] Step 3:

[0738] The server receives the selected question and passes it to the generating AI.

[0739] Input: HTTP request containing the selected question

[0740] Output: Prompt message to pass to the generating AI

[0741] Specific operation: The server analyzes the received request, extracts the question content, and converts it into a prompt sentence in a format suitable for the generating AI. Then, it sends this prompt sentence to the generating AI.

[0742] Step 4:

[0743] The generative AI generates answers to the questions.

[0744] Input: Prompt message

[0745] Output: Text of the detailed answer to the question

[0746] Specific operation: The generating AI uses natural language processing technology to analyze the received prompt and generate an appropriate response. This response includes specific steps and, if necessary, links to visual materials.

[0747] Step 5:

[0748] The server sends the generated response to the terminal.

[0749] Input: Response text from the generated AI

[0750] Output: Sending data in HTTP response format

[0751] Specific operation: The server receives the generated response and sends it to the terminal as an HTTP response. Images and video links are also included in this response, if necessary.

[0752] Step 6:

[0753] The device receives the response and displays it to the user.

[0754] Input: HTTP response from the server

[0755] Output: Responses and multimedia materials displayed to the user.

[0756] Specific operation: The terminal analyzes the received response and displays the response text and, if necessary, images or videos. The display interface is dynamically adjusted based on the user profile.

[0757] Step 7:

[0758] The device settings are configured based on the user's displayed responses.

[0759] Input: Displayed answers and multimedia materials

[0760] Output: Changes to terminal settings due to user actions

[0761] Specific actions: The user follows the displayed instructions and changes settings by operating the device's settings app. For example, to set the streaming quality to high definition, the user opens the designated settings screen and changes the setting options.

[0762] 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.

[0763] This invention is a system designed to help users efficiently perform initial setup and various settings on their smartphones, and further incorporates an emotion engine that recognizes the user's emotions. This system consists of a terminal, a server, a generative AI, and an emotion engine.

[0764] First, the device launches the Settings app and displays a list of questions to the user. This list contains pre-prepared questions about settings. The user selects the question that matches their question. For example, they might select the question, "How do I connect to Wi-Fi?"

[0765] Next, the terminal sends the selected question to the server. This communication takes place over the internet and is implemented as a regular HTTP request. The terminal uploads the selected question to the server in a client-server format. At this time, metadata such as the question ID and user ID are also sent.

[0766] The server receives a question from the terminal and passes it to the generative AI. Upon receiving the question, the server immediately passes it as input to the appropriate AI model and generates an answer. The server is typically located in a cloud environment and also houses a component that hosts the generative AI.

[0767] The generating AI produces appropriate answers to questions provided by the server. This AI uses natural language processing (NLP) techniques to understand the meaning of the questions and provide corresponding setup instructions and explanations. For example, it might generate an answer such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0768] The server sends the response to the terminal. The response from the server may include not only the text information of the generated response, but also images and video guides to help the user understand it.

[0769] Next, the terminal displays the response received from the server to the user. The display interface is designed to allow the user to intuitively understand the response, so in addition to text instructions, relevant screenshots and video clips are displayed.

[0770] A further feature of this invention is that the terminal is equipped with an emotion engine. The emotion engine analyzes the user's facial expressions and voice tone, etc., to recognize the user's emotions. This emotion information is used to adjust the content and display method of the responses provided by the generating AI in real time.

[0771] As a concrete example, consider a case where the user asks about "Wi-Fi settings." If the user selects the question "How do I connect to Wi-Fi?", the device sends this question to the server. The server passes the question to the generating AI, which generates the answer "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary." The server sends the generated answer to the device, and the device displays the answer to the user.

[0772] In this process, if the emotion engine recognizes confusion or anxiety from the user's facial expressions, the generating AI will modify the content to provide more detailed instructions or supplementary explanations. For example, additional messages such as "Please refer to the image guide" or "Would you like to play the video tutorial?" will be displayed. In this way, the content and display format of the responses are dynamically adjusted according to the user's emotions, allowing the user to complete the setup more comfortably.

[0773] As described above, the present invention provides detailed and easy-to-understand instructions for users to configure their smartphones themselves. Furthermore, by combining this with an emotion engine, it enables flexible support tailored to the user's emotions, significantly reducing inquiries and complaints regarding settings.

[0774] The following describes the processing flow.

[0775] Step 1:

[0776] The device launches the settings app and displays a list of questions to the user. This list includes pre-prepared questions about the initial setup and various settings of the smartphone. For example, it may include questions about Wi-Fi settings, Bluetooth settings, and more.

[0777] Step 2:

[0778] The user selects a question from a list that matches their question. For example, they might select the question, "How do I connect to Wi-Fi?" When the user taps a question, that question is selected.

[0779] Step 3:

[0780] The device sends the selected question to the server. The device sends data including the selected question ID and user ID to the server as an HTTP request. For example, it sends a request to an API endpoint such as POST / send_question.

[0781] Step 4:

[0782] The server processes the question data received from the terminal and passes the question to the question-generating AI. The server converts the received question into an appropriate format and passes it as input to the AI ​​model.

[0783] Step 5:

[0784] The generating AI interprets the question and generates an appropriate answer. This AI uses natural language processing technology to understand the meaning of the question and generates corresponding setup steps and explanations. For example, it might generate an answer such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0785] Step 6:

[0786] The server receives the response generated by the AI ​​and sends it to the terminal. The response from the server includes the text information of the generated response. Supplementary materials such as images and video guides are also included as needed.

[0787] Step 7:

[0788] The device displays the received response to the user. The device's software displays the response in a format that is easy for the user to understand. For example, it displays text instructions and related screenshots.

[0789] Step 8:

[0790] Based on the displayed response, the device activates an emotion engine that analyzes the user's facial expressions and tone of voice. The emotion engine uses the camera and microphone to analyze the user's facial expressions and voice, and recognizes the user's emotional state (e.g., confusion, anxiety, joy).

[0791] Step 9:

[0792] The emotion engine recognizes the user's emotions and feeds that information back to the generating AI. For example, if the user has a confused expression, that information is sent to the generating AI.

[0793] Step 10:

[0794] The generating AI dynamically adjusts its responses based on the user's emotional state. For example, if it detects confusion, the generating AI will generate more detailed instructions or additional explanations. Conversely, if it detects relaxation, it will determine that a concise explanation is sufficient.

[0795] Step 11:

[0796] The server sends the updated response from the AI ​​generator to the device, and the device redisplays that response. The device then displays the newly generated text instructions, as well as any additional screenshots or videos, to the user.

[0797] Step 12:

[0798] The user configures their device based on the displayed answers. The user follows the instructions and completes settings such as connecting to Wi-Fi by operating the settings app.

[0799] By going through the above processing steps, users can efficiently configure their smartphone settings themselves, and by using the emotion engine, they can receive flexible support tailored to their psychological state.

[0800] (Example 2)

[0801] 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."

[0802] Many users struggle with the complexity and lack of understanding of the procedures when setting up or configuring their smartphones. Furthermore, the provided setup guides are often formulaic and fail to adapt to individual user difficulties and concerns, resulting in insufficient support. Consequently, the setup process is stressful for users and difficult to complete efficiently.

[0803] 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.

[0804] In this invention, the server includes means for the terminal to select a question from a provided list of questions, means for the terminal to send the selected question to the server, means for the server to receive the question and pass it on to a generative AI model, means for the generative AI model to generate an answer to the question, means for the server to send the generated answer to the terminal, means for the terminal to receive the answer and display it to the user, means for the user to configure the terminal based on the displayed answer, and means for the terminal to use an emotion engine that recognizes the user's emotions to adjust the content and display method of the answer provided by the generative AI model in real time. As a result, the user can get quick and accurate answers to their questions and receive appropriate support according to their confusion and anxiety, making it possible to configure their smartphone more comfortably and efficiently.

[0805] A "terminal" is an electronic device used by a user, whose role is to select a question, send it to the server, and receive and display the answer.

[0806] A "server" is a central processing unit that receives questions sent from terminals, passes them to a generative AI model to generate answers, and then sends those answers back to the terminals.

[0807] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to generate appropriate answers to questions provided by a server.

[0808] An "emotion engine" is a technology that analyzes the user's facial expressions and voice tone to recognize their emotions, and is used to adjust the content and display method of the responses provided by the generative AI model.

[0809] "Answer" refers to explanations and setup procedures generated by a generative AI model based on the user's question, and may include images or video guides.

[0810] A "question list" is a collection of pre-prepared questions provided by the settings app to the user regarding the initial setup and various settings of their smartphone.

[0811] A "user" is an individual who uses a device to select questions, receive answers, and configure their smartphone settings.

[0812] The "client-server model" is a communication format in which the terminal functions as the client and the server performs central processing.

[0813] This invention is a system designed to help users efficiently perform initial setup and various settings on their smartphones, and further incorporates an emotion engine that recognizes the user's emotions. This system consists of a terminal, a server, a generative AI model, and an emotion engine.

[0814] First, the device launches the Settings app and displays a list of questions to the user. This list contains pre-prepared questions about settings. The user selects the question that matches their question. For example, they might select the question, "How do I connect to Wi-Fi?"

[0815] Next, the terminal sends the selected question to the server. This communication takes place over the internet and is implemented as a regular HTTP request. The terminal uploads the selected question to the server in a client-server format, sending metadata such as the question ID and user ID along with it.

[0816] The server receives a question from the terminal and passes that question to a generative AI model. The server is located in a cloud environment and has a component that hosts the generative AI model. As soon as the server receives a question, it passes the question as input to the appropriate generative AI model and generates an answer.

[0817] The generative AI model generates appropriate answers to questions provided by the server. This AI model uses natural language processing (NLP) techniques to understand the meaning of the questions and provide corresponding setup instructions and explanations. For example, it might generate an answer such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0818] The server sends the generated response to the terminal. The response from the server may include not only the text information of the generated response, but also images and video guides to help the user understand it.

[0819] Next, the terminal displays the response received from the server to the user. The display interface is designed to allow the user to intuitively understand the response, and in addition to text instructions, relevant screenshots and video clips are displayed.

[0820] A further feature of this invention is that the terminal is equipped with an emotion engine. The emotion engine analyzes the user's facial expressions and voice tone to recognize the user's emotions. This emotion information is used to adjust the content and display method of the responses provided by the generative AI model in real time.

[0821] As a concrete example, consider a case where a user asks about "Wi-Fi settings." If the user selects the question "How do I connect to Wi-Fi?", the device sends this question to the server. The server passes the question to a generative AI model, which generates the answer "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary." The server sends the generated answer to the device, and the device displays the answer to the user.

[0822] In this case, if the emotion engine recognizes confusion or anxiety from the user's facial expressions, the generative AI model will modify its content to provide more detailed instructions or supplementary explanations. For example, additional messages such as "Please proceed while referring to the image guide" or "Would you like to play the video tutorial?" may be displayed.

[0823] Examples of prompt statements:

[0824] "The user selected the question 'How do I connect to Wi-Fi?', and the emotion engine analyzed the user's facial expressions and tone of voice to determine that they were confused. Please generate a more detailed response, supplementary explanations, and additional guidance such as image guides or video tutorials."

[0825] Thus, the present invention provides detailed and easy-to-understand instructions for users to configure their smartphones themselves, and by combining this with an emotion engine, it enables flexible support tailored to the user's emotions, significantly reducing inquiries and complaints regarding settings.

[0826] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0827] The processing flow of this system's program is divided into processing steps.

[0828] The system's program processing will be explained according to the following steps.

[0829] Step 1:

[0830] The device launches the settings app and prepares to display a list of questions. The device retrieves pre-configured question data from a local or remote database. This list of questions includes items that users frequently ask about their smartphone settings.

[0831] Input: Request to launch the Settings app

[0832] Data processing: Acquisition and formatting of questionnaire data

[0833] Output: Display of question list

[0834] Step 2:

[0835] The user selects the question that best matches their question from the displayed list of questions. For example, they might select the question, "How do I connect to Wi-Fi?"

[0836] Input: Question selection via user touch operation

[0837] Output: Selected Question ID

[0838] Step 3:

[0839] The terminal sends the selected question to the server. Communication takes place via the internet as an HTTP request. The terminal generates a request that includes the question ID and user ID as metadata and sends it to the server.

[0840] Input: Selected Question ID, User ID

[0841] Data processing: Generation of HTTP requests

[0842] Output: Sending a query request to the server

[0843] Step 4:

[0844] The server analyzes the question received from the terminal and passes the question to the generative AI model. The server uses the question ID to retrieve the appropriate question content from the database and sends a request to the generative AI model's API endpoint.

[0845] Input: Question ID, User ID

[0846] Data processing: Retrieving question content, generating AI model API requests.

[0847] Output: Send the question to the AI ​​model.

[0848] Step 5:

[0849] The generative AI model generates appropriate answers to questions provided by the server. The generative AI model uses natural language processing techniques to understand the meaning of the questions and generates answers that include setup instructions and explanations. For example, it might generate an answer such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0850] Input: Question content

[0851] Data processing: Answer generation using natural language processing

[0852] Output: Generated answer

[0853] Step 6:

[0854] The server receives the generated response and sends it to the terminal. If the response from the generating AI model includes images or video guides, the server generates a response that includes them.

[0855] Input: Generated answer

[0856] Data processing: Generation of HTTP response

[0857] Output: Sending response to terminal

[0858] Step 7:

[0859] The terminal displays the response received from the server to the user. The display interface is designed to allow the user to intuitively understand the response, and relevant screenshots and video clips are displayed along with text instructions.

[0860] Input: Response from the server

[0861] Data processing: Analysis of response content and generation of display screen.

[0862] Output: Display to the user

[0863] Step 8:

[0864] The emotion engine built into the device analyzes the user's facial expressions and voice tone to recognize their emotions. If the emotion engine detects confusion or anxiety in the user, it feeds that information back into the generating AI model to adjust the response.

[0865] Input: User's facial expressions and voice data

[0866] Data processing: Sentiment analysis, feedback to generative AI models.

[0867] Output: Display of adjusted answers

[0868] Specifically, if a user selects the question "How do I connect to Wi-Fi?" and the emotion engine detects confusion from the user's facial expression, additional instructions such as "Please refer to the image guide" or "Would you like to play the video tutorial?" will be displayed. In this way, the content and display format of the responses are dynamically adjusted according to the user's emotions.

[0869] Based on the above processing steps, this system is designed to allow users to configure their smartphones efficiently and without stress.

[0870] (Application Example 2)

[0871] 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."

[0872] Providing customer support in physical stores can be challenging, as customers often face difficulties setting up or troubleshooting their devices. This is especially true for tech-savvy or elderly customers, who may find the device setup process confusing and stressful. Furthermore, time and staffing constraints make it difficult for store employees to provide prompt and accurate support to all customers. Therefore, a more efficient and flexible support system is needed to enhance customer satisfaction.

[0873] 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.

[0874] In this invention, the server includes means for the terminal to select a question from a provided list of questions, means for the terminal to send the selected question to the server, means for the server to receive the question and pass it on to a generating AI, means for the generating AI to generate an answer to the question, means for the server to send the generated answer to the terminal, means for the terminal to receive the answer and display it to the user, means for the user to configure the terminal based on the displayed answer, means for the terminal to be equipped with an emotion engine that recognizes the user's emotions and adjust the content and display method of the answer provided by the generating AI according to the user's emotions, and means for displaying emotion information and the answer in real time on smart glasses worn by a store employee. As a result, when customers receive technical support in a physical store, they can be provided with customized answers according to their individual emotional state, and can efficiently and safely configure their devices with the assistance of a store employee.

[0875] A "device" refers to an electronic device that the user directly operates, such as a smartphone or tablet.

[0876] A "server" is a computer system that manages communication with terminals via a network and performs data processing and hosts AI generation.

[0877] The "Question List" is a list of pre-prepared questions about settings and troubleshooting that users can select on their device.

[0878] "Generative AI" refers to an artificial intelligence system that uses natural language processing technology to generate answers to user questions.

[0879] "Answers" refer to information such as explanatory text, instructions, images, and video guides generated by the AI ​​in response to a user's question.

[0880] An "emotion engine" is a system that analyzes a user's facial expressions and voice tone to recognize their emotions.

[0881] "Smart glasses" are glasses-type electronic devices that, when worn, visually display information and provide real-time information.

[0882] A "user" refers to a person who operates the device, selects questions, and performs settings and troubleshooting.

[0883] A "display interface" is a mechanism for visually displaying information on a device screen, and it is designed to be intuitively understandable to the user.

[0884] "Store clerk" refers to an employee who provides support to customers in a physical store.

[0885] This invention provides a system for providing efficient and flexible customer support in physical stores. The system consists of a terminal, a server, a generative AI, an emotion engine, and smart glasses worn by store employees.

[0886] First, customers ask questions using tablet or robotic terminals within the store. The terminals display a pre-prepared list of questions, from which customers select a question. Questions include "How do I connect to Wi-Fi?", "How do I install a new app?", and "How do I enhance my smartphone's security settings?". The selected question is sent to the server as an HTTP request via the internet.

[0887] The server receives a question from the device and passes it to the generative AI. Specifically, the generative AI model is hosted on the server, and the server passes the question as input to the generative AI model to generate an answer using natural language processing technology. For example, it might generate an answer such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0888] Next, the server sends the generated response to the terminal. The terminal receives the response and displays it to the user. The display interface is designed to allow the user to intuitively understand the response, and in addition to text instructions, relevant screenshots and video clips are displayed.

[0889] Furthermore, the device is equipped with an emotion engine that analyzes the user's facial expressions and voice tone to recognize emotions. This emotion information is fed back to the generating AI and server in real time, dynamically adjusting the content and display method of the responses provided by the generating AI according to the user's emotions. For example, if the user shows a confused expression, the generating AI will change to provide more detailed instructions or supplementary explanations.

[0890] Furthermore, the smart glasses worn by the staff display emotional information and responses in real time, enabling them to provide appropriate support to customers. These smart glasses are useful for quickly understanding what problems customers are facing and providing effective advice on the spot.

[0891] As a concrete example, the following prompt text will be input to the generation AI to produce an appropriate response:

[0892] "How do I connect to Wi-Fi?"

[0893] "How do I install a new app?"

[0894] "How can I strengthen my smartphone's security settings?"

[0895] This invention allows customers to receive customized answers tailored to their individual emotional state when receiving technical support in a physical store, enabling them to efficiently and confidently configure their devices with the assistance of store staff.

[0896] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0897] Step 1:

[0898] The user selects a question on their device.

[0899] The user selects a question from a pre-prepared list using a tablet or robotic terminal in the physical store. The terminal receives the user's input and generates request data, including the question ID and user ID. This generated request data is then sent to the next step.

[0900] Step 2:

[0901] The device sends the selected question to the server.

[0902] The terminal sends the user-selected question as request data to the server via the internet. This transmission is in the format of a standard HTTP request and is received on the server side. The input is the user-selected question data, and the output is the arrival of this data to the server.

[0903] Step 3:

[0904] The server passes the question to the question generation AI.

[0905] The server receives questions sent from the terminal and passes them as input to the generative AI model. The server analyzes the received data and provides the appropriate generative AI model with input data as prompts. During this process, data preprocessing and format conversion are performed. The input is the request data from the terminal, and the output is the prompt to the generative AI.

[0906] Step 4:

[0907] The generative AI generates answers to questions.

[0908] The generative AI model generates appropriate answers to questions based on prompts provided by the server. Using natural language processing techniques, the generative AI analyzes the input prompts, understands their meaning, and creates appropriate response text. For example, in response to the question, "How do I connect to Wi-Fi?", it generates the answer, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary." The input is the prompt, and the output is the generated text response.

[0909] Step 5:

[0910] The server sends the generated response to the terminal.

[0911] The server receives the response generated by the generative AI and sends it as a response to the device that sent the request. When the server sends the response to the device, it includes supplementary information such as images and video guides as needed. The input is the response data generated by the generative AI, and the output is the response data sent to the device.

[0912] Step 6:

[0913] The device receives the response and displays it to the user.

[0914] The terminal analyzes the responses received from the server and displays them in a user-friendly format. The display interface is designed to be intuitive and easy for users to understand, and may include screenshots or video clips in addition to text responses. The input is the response data from the server, and the output is the data displayed on the terminal screen.

[0915] Step 7:

[0916] The device recognizes the user's emotions.

[0917] The emotion engine built into the device analyzes the user's facial expressions and voice tone to recognize their emotions. The emotion engine uses the camera and microphone to capture the user's facial expressions and voice, and analyzes this data to determine the user's emotional state in real time. The input is the user's facial expressions and voice data, and the output is the analyzed emotion information.

[0918] Step 8:

[0919] The store staff wear smart glasses that display emotional information and responses in real time.

[0920] The system displays user emotion information recognized by the terminal and responses generated by AI in real time on smart glasses worn by store staff. This allows staff to quickly provide appropriate support to customers. The input is emotion information and response data from the terminal, and the output is the data displayed on the smart glasses. This series of steps enables efficient customer support within physical stores.

[0921] 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.

[0922] 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.

[0923] 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.

[0924] [Fourth Embodiment]

[0925] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0926] 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.

[0927] 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).

[0928] 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.

[0929] 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.

[0930] 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).

[0931] 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.

[0932] 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.

[0933] 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.

[0934] 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.

[0935] 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.

[0936] 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.

[0937] 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".

[0938] This invention is a system designed to help users efficiently perform initial setup and various settings on their smartphones. This system consists of a terminal, a server, and a generating AI.

[0939] First, the device selects a question from a list of provided questions. The device is a user-operated device such as a smartphone or tablet, and it accesses the settings app where a list of questions about settings is displayed. This list of questions includes predefined questions about a wide range of settings, and the user selects the question that matches their inquiry.

[0940] Next, the terminal sends the selected question to the server. This communication takes place over the internet and is implemented as a regular HTTP request. The terminal uploads the selected question to the server in a client-server format. At this time, the terminal's software module can also send metadata such as the question ID and user ID.

[0941] The server receives a question from the terminal and passes it to the generative AI. Upon receiving the question, the server immediately passes it as input to the appropriate AI model and requests an answer. Servers are often located in a cloud environment, and it is common for them to also have components that host the generative AI.

[0942] The generating AI receives questions from the server and generates appropriate answers. This AI uses natural language processing (NLP) techniques to understand the meaning of the questions and generate corresponding setup instructions and explanations. Based on the content of the question, the AI ​​provides the most effective answer for the user. For example, in response to the question, "How do I connect to Wi-Fi?", it generates detailed instructions such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0943] The server sends the generated response to the terminal. The response from the server includes the generated response text and, if necessary, supplementary materials such as images and videos. This allows the user to obtain not only text but also visually easy-to-understand information.

[0944] Finally, the device receives the response and displays it to the user. The device's software provides an interface to display the response in a user-friendly format. For example, in addition to text responses, screenshots and short video tutorials can also be displayed to help the user intuitively understand the setup procedure. This display interface supports the user in smoothly setting up their smartphone by following the instructed steps.

[0945] As a concrete example, consider a case where a user asks about "Wi-Fi settings." When the user selects the question "How do I connect to Wi-Fi?" in the device's settings app, the device sends this question to the server. The server passes the question to a generating AI, which generates the answer "Open the settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary." The server sends this answer to the device, which displays the answer to the user. The user can then complete the Wi-Fi setup by following the displayed instructions.

[0946] As described above, the present invention provides detailed and easy-to-understand instructions for users to configure their smartphones themselves, and can significantly reduce inquiries and complaints regarding settings.

[0947] The following describes the processing flow.

[0948] Step 1:

[0949] The device launches the settings app and displays a list of questions to the user. This list includes pre-prepared questions about settings.

[0950] Step 2:

[0951] The user selects the question that best applies to their question from the displayed list of questions. For example, they might select the question, "How do I connect to Wi-Fi?"

[0952] Step 3:

[0953] The terminal sends the user-selected question to the server. At the same time, it also sends the question ID and metadata (e.g., user ID, timestamp, etc.).

[0954] Step 4:

[0955] The server processes the questions received from the terminal and passes them to the generating AI. The server inputs the questions into the appropriate AI model and requests the generation of answers.

[0956] Step 5:

[0957] The AI ​​generator interprets the question and produces an appropriate answer. This answer includes detailed setup instructions and supplementary explanations. For example, it might say, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0958] Step 6:

[0959] The server sends the response obtained from the AI ​​generator to the device. The response includes not only text information but also links to images and videos as needed.

[0960] Step 7:

[0961] The terminal displays the response received from the server to the user. The terminal's software presents the received response to the user in an easy-to-understand format. For example, it may display screenshots or short video clips along with text instructions.

[0962] Step 8:

[0963] The user configures the device based on the displayed answers. The user follows the instructions and completes necessary settings, such as connecting to Wi-Fi, by operating the settings app.

[0964] Through these specific processing steps, users can understand the necessary setup procedures and properly configure their smartphones themselves.

[0965] (Example 1)

[0966] 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".

[0967] The initial setup and various settings of conventional smartphones and tablets are often complicated and difficult for users to understand. This leads to frequent inquiries and complaints about settings, resulting in a poor user experience. Furthermore, text-based instructions alone may not allow users to accurately understand the setup procedure, potentially leading to operational errors.

[0968] 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.

[0969] In this invention, the server includes means for the terminal to select a question from a provided list of questions, means for the terminal to transmit the selected question to the server via a network, means for the server to receive the question and pass the received question to a generative AI model, means for the generative AI model to generate an answer based on the question, means for the server to transmit the generated answer to the terminal, means for the terminal to receive the answer and display it to the user, and means for the user to configure the terminal based on the displayed answer. This enables the user to configure their smartphone or tablet intuitively and efficiently, contributing to a reduction in inquiries and complaints. Furthermore, including images and video guides in the generated answer can help the user understand and prevent configuration errors.

[0970] A "terminal" refers to a device operated by a user, such as a smartphone or tablet.

[0971] The "question list" refers to a set of predefined questions about a wide range of settings that are displayed in the settings app on your device.

[0972] A "server" refers to a computer device on a network that receives data from terminals via the internet and passes questions to the generated AI model.

[0973] A "network" refers to a system for transmitting data via the internet or other forms of remote communication.

[0974] A "generative AI model" refers to an artificial intelligence model that uses natural language processing technology to generate appropriate answers to questions from a device.

[0975] An "HTTP request" refers to a form of communication protocol used to send a question from a terminal to a server.

[0976] "Metadata" refers to auxiliary data that contains information about the data itself, such as a question ID or user ID.

[0977] "Answer" refers to information such as explanations and procedures generated by the generative AI model in response to a user's question.

[0978] "Image or video guide" refers to a media format that provides visual information to help users intuitively understand the setup procedure.

[0979] "Display screen layout" refers to the arrangement of the screen when displaying answers to the user on a device.

[0980] This invention is a system that assists users in efficiently performing initial setup and various settings on smartphones and tablets. This system consists of a terminal, a server, and a generative AI model.

[0981] First, the user operates their device to launch the Settings app. The device displays a list of questions related to a wide range of predefined settings. The user selects a question from this list that addresses their specific question. For example, they might choose the question, "How do I connect to Wi-Fi?"

[0982] Next, the terminal sends an HTTP request to the server containing the selected question. This request is made over the internet and includes metadata such as the question ID and user ID. The server parses the received request and extracts the content of the question.

[0983] The extracted questions are passed by the server as input to a generative AI model. The generative AI model uses natural language processing techniques to generate appropriate answers to the questions. For example, in response to the question "How do I connect to Wi-Fi?", it might create detailed instructions such as "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[0984] The generated response is sent from the server to the terminal. The response from the server includes the generated response text, as well as supplementary materials such as images and videos as needed. The terminal displays the response received from the server to the user. The terminal's software displays the response in a format that is easy for the user to understand. For example, in addition to the text response, it may also display screenshots showing the operating procedure or a short video tutorial.

[0985] This allows users to intuitively configure their smartphone or tablet settings by following the displayed instructions. Examples of specific prompts include:

[0986] - "I want to set up my smartphone for the initial setup. How do I proceed?"

[0987] - "Please tell me how to install a new app."

[0988] - "How do I connect a Bluetooth device?"

[0989] This system provides users with an intuitive and easy-to-understand setup guide, contributing to a reduction in inquiries and complaints. In particular, the specific steps and visual guides generated by the generative AI model are effective in helping users successfully complete the setup process.

[0990] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0991] Step 1:

[0992] The user operates a device such as a smartphone or tablet and launches the settings app. The device displays a list of questions related to a wide range of predefined settings. At this time, the user selects a question, such as "How do I connect to Wi-Fi?". The user makes a selection from the list of questions as input, and the selected question is output.

[0993] Step 2:

[0994] The terminal generates an HTTP request based on the user's selected question. This request includes metadata such as the content of the selected question, the question ID, and the user ID. The terminal then sends this HTTP request to the server over the internet. The input is the selected question and metadata, and the output is the generated HTTP request to the server.

[0995] Step 3:

[0996] The server receives and parses HTTP requests from terminals. The server extracts the question content as a result of the analysis and passes it to the generative AI model. The input is an HTTP request, and the output is the extracted question content for the generative AI model. Specifically, this involves the server parsing the request and understanding the meaning of the question.

[0997] Step 4:

[0998] The generative AI model receives a question from the server and generates an appropriate answer using natural language processing techniques. The input is the question, and the output is detailed setup instructions and explanations. Specifically, the generative AI model analyzes the meaning of the question and generates the optimal answer accordingly.

[0999] Step 5:

[1000] The server receives the response from the generating AI model and sends it back to the terminal. The server's response includes not only the generated response text but also supplementary materials such as images and videos. The input is the generated response, and the output is the response sent to the terminal. Specifically, this involves a process of adding the necessary visual materials to the response.

[1001] Step 6:

[1002] The terminal analyzes the response received from the server and displays it to the user in an appropriate format. The terminal's software not only displays the response text but also, if necessary, screenshots and video tutorials. The input is the response from the server, and the output is what is displayed to the user. Specific actions include dynamic adjustments to the user interface and the display of visual guides.

[1003] This series of processing steps allows users to configure their smartphones and tablets intuitively and smoothly.

[1004] (Application Example 1)

[1005] 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".

[1006] Currently, users of content delivery services often encounter problems and questions regarding setup and usage. To address these issues, an easily accessible support system is needed. Furthermore, support that can accommodate a wider range of users is required, provided in diverse languages ​​and with visual explanations. Current support systems are limited to specific languages ​​and text-based formats, and improvements are needed to enhance the user experience.

[1007] 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.

[1008] In this invention, the server includes means for a terminal to select a question from a provided list of questions, means for the terminal to send the selected question to the server, and means for a generating AI to generate an answer to the question. This enables users to obtain intuitive and specific answers, including multimedia materials, in real time to questions regarding content delivery settings and viewing.

[1009] A "device" is an electronic device used by a user, and includes smartphones, tablets, and other similar devices.

[1010] A "server" is a computer system that processes and manages information through a network, and in this invention, it is responsible for receiving questions from users, forwarding them to the generating AI, and returning answers.

[1011] A "list of questions" is a predefined list containing numerous question items that the user can select from.

[1012] "Generative AI" is an artificial intelligence model that uses natural language processing technology to generate answers to user questions.

[1013] "Multilingualism" means supporting multiple different languages, providing an environment where users can ask and answer questions in the language they understand best.

[1014] "Multimedia materials" refer to supplementary materials that provide information in formats other than text, such as images and videos.

[1015] A "user profile" is a collection of data based on a user's individual settings and past operation history, and the display interface is customized based on this.

[1016] A "display interface" refers to the screen on a device that displays answers to the user, and is designed to allow the user to easily understand the information.

[1017] This invention is a system that uses terminals such as smartphones and tablets, servers, and generating AI to provide real-time answers to questions and problems that users may have when setting up and using content distribution services.

[1018] First, a list of questions is provided on the user's device, and the user selects a question that is appropriate for their question from this list. The selected question is then sent to the server via the device.

[1019] The server receives questions sent over the internet and passes them to a generative AI model. The server is often located in a cloud environment and includes components that host the generative AI. This generative AI uses natural language processing techniques to understand the meaning of the questions and generate appropriate answers.

[1020] The generated responses may include not only text but also multimedia materials such as images and videos. The server sends this information back to the terminal, which then displays the received responses and materials to the user. The display interface is dynamically adjusted based on the user profile and is designed to allow the user to understand the information more intuitively.

[1021] For example, if a user selects the question "How can I stream in high quality?", that question is passed to the AI ​​generator via the server, and an answer like the following is generated:

[1022] "To stream in high definition, open the Settings app, select [Streaming Quality], and choose the [High Definition] option. Internet connection speed is also important, so a Wi-Fi connection is recommended."

[1023] This response will be sent to the terminal via the server and displayed to the user. The response may also include screenshots of the setup procedure and video tutorials as needed.

[1024] Examples of prompt statements include the following:

[1025] "User question: How can I stream in high definition? Please provide answers related to content delivery services."

[1026] This system allows users to not only access content delivery services smoothly but also receive appropriate support in real time. The hardware and software used include user terminals (smartphones and tablets), servers that process questions, and generative AI models (e.g., using the OpenAI API).

[1027] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1028] Step 1:

[1029] The user operates the device and selects a question from the provided list of questions.

[1030] Input: User actions, list of questions

[1031] Output: Selected Questions

[1032] Specific actions: The user opens the application on their device and taps the question that corresponds to their question from the displayed list of questions.

[1033] Step 2:

[1034] The device sends the selected question to the server.

[1035] Input: Selected question

[1036] Output: Sending data in HTTP request format

[1037] Specific operation: The application on the device sends data containing the selected question to the server as an HTTP request. This data also includes the question ID and user ID.

[1038] Step 3:

[1039] The server receives the selected question and passes it to the generating AI.

[1040] Input: HTTP request containing the selected question

[1041] Output: Prompt message to pass to the generating AI

[1042] Specific operation: The server analyzes the received request, extracts the question content, and converts it into a prompt sentence in a format suitable for the generating AI. Then, it sends this prompt sentence to the generating AI.

[1043] Step 4:

[1044] The generative AI generates answers to the questions.

[1045] Input: Prompt message

[1046] Output: Text of the detailed answer to the question

[1047] Specific operation: The generating AI uses natural language processing technology to analyze the received prompt and generate an appropriate response. This response includes specific steps and, if necessary, links to visual materials.

[1048] Step 5:

[1049] The server sends the generated response to the terminal.

[1050] Input: Response text from the generated AI

[1051] Output: Sending data in HTTP response format

[1052] Specific operation: The server receives the generated response and sends it to the terminal as an HTTP response. Images and video links are also included in this response, if necessary.

[1053] Step 6:

[1054] The device receives the response and displays it to the user.

[1055] Input: HTTP response from the server

[1056] Output: Responses and multimedia materials displayed to the user.

[1057] Specific operation: The terminal analyzes the received response and displays the response text and, if necessary, images or videos. The display interface is dynamically adjusted based on the user profile.

[1058] Step 7:

[1059] The device settings are configured based on the user's displayed responses.

[1060] Input: Displayed answers and multimedia materials

[1061] Output: Changes to terminal settings due to user actions

[1062] Specific actions: The user follows the displayed instructions and changes settings by operating the device's settings app. For example, to set the streaming quality to high definition, the user opens the designated settings screen and changes the setting options.

[1063] 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.

[1064] This invention is a system designed to help users efficiently perform initial setup and various settings on their smartphones, and further incorporates an emotion engine that recognizes the user's emotions. This system consists of a terminal, a server, a generative AI, and an emotion engine.

[1065] First, the device launches the Settings app and displays a list of questions to the user. This list contains pre-prepared questions about settings. The user selects the question that matches their question. For example, they might select the question, "How do I connect to Wi-Fi?"

[1066] Next, the terminal sends the selected question to the server. This communication takes place over the internet and is implemented as a regular HTTP request. The terminal uploads the selected question to the server in a client-server format. At this time, metadata such as the question ID and user ID are also sent.

[1067] The server receives a question from the terminal and passes it to the generative AI. Upon receiving the question, the server immediately passes it as input to the appropriate AI model and generates an answer. The server is typically located in a cloud environment and also houses a component that hosts the generative AI.

[1068] The generating AI produces appropriate answers to questions provided by the server. This AI uses natural language processing (NLP) techniques to understand the meaning of the questions and provide corresponding setup instructions and explanations. For example, it might generate an answer such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[1069] The server sends the response to the terminal. The response from the server may include not only the text information of the generated response, but also images and video guides to help the user understand it.

[1070] Next, the terminal displays the response received from the server to the user. The display interface is designed to allow the user to intuitively understand the response, so in addition to text instructions, relevant screenshots and video clips are displayed.

[1071] A further feature of this invention is that the terminal is equipped with an emotion engine. The emotion engine analyzes the user's facial expressions and voice tone, etc., to recognize the user's emotions. This emotion information is used to adjust the content and display method of the responses provided by the generating AI in real time.

[1072] As a concrete example, consider a case where the user asks about "Wi-Fi settings." If the user selects the question "How do I connect to Wi-Fi?", the device sends this question to the server. The server passes the question to the generating AI, which generates the answer "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary." The server sends the generated answer to the device, and the device displays the answer to the user.

[1073] In this process, if the emotion engine recognizes confusion or anxiety from the user's facial expressions, the generating AI will modify the content to provide more detailed instructions or supplementary explanations. For example, additional messages such as "Please refer to the image guide" or "Would you like to play the video tutorial?" will be displayed. In this way, the content and display format of the responses are dynamically adjusted according to the user's emotions, allowing the user to complete the setup more comfortably.

[1074] As described above, the present invention provides detailed and easy-to-understand instructions for users to configure their smartphones themselves. Furthermore, by combining this with an emotion engine, it enables flexible support tailored to the user's emotions, significantly reducing inquiries and complaints regarding settings.

[1075] The following describes the processing flow.

[1076] Step 1:

[1077] The device launches the settings app and displays a list of questions to the user. This list includes pre-prepared questions about the initial setup and various settings of the smartphone. For example, it may include questions about Wi-Fi settings, Bluetooth settings, and more.

[1078] Step 2:

[1079] The user selects a question from a list that matches their question. For example, they might select the question, "How do I connect to Wi-Fi?" When the user taps a question, that question is selected.

[1080] Step 3:

[1081] The device sends the selected question to the server. The device sends data including the selected question ID and user ID to the server as an HTTP request. For example, it sends a request to an API endpoint such as POST / send_question.

[1082] Step 4:

[1083] The server processes the question data received from the terminal and passes the question to the question-generating AI. The server converts the received question into an appropriate format and passes it as input to the AI ​​model.

[1084] Step 5:

[1085] The generating AI interprets the question and generates an appropriate answer. This AI uses natural language processing technology to understand the meaning of the question and generates corresponding setup steps and explanations. For example, it might generate an answer such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[1086] Step 6:

[1087] The server receives the response generated by the AI ​​and sends it to the terminal. The response from the server includes the text information of the generated response. Supplementary materials such as images and video guides are also included as needed.

[1088] Step 7:

[1089] The device displays the received response to the user. The device's software displays the response in a format that is easy for the user to understand. For example, it displays text instructions and related screenshots.

[1090] Step 8:

[1091] Based on the displayed response, the device activates an emotion engine that analyzes the user's facial expressions and tone of voice. The emotion engine uses the camera and microphone to analyze the user's facial expressions and voice, and recognizes the user's emotional state (e.g., confusion, anxiety, joy).

[1092] Step 9:

[1093] The emotion engine recognizes the user's emotions and feeds that information back to the generating AI. For example, if the user has a confused expression, that information is sent to the generating AI.

[1094] Step 10:

[1095] The generating AI dynamically adjusts its responses based on the user's emotional state. For example, if it detects confusion, the generating AI will generate more detailed instructions or additional explanations. Conversely, if it detects relaxation, it will determine that a concise explanation is sufficient.

[1096] Step 11:

[1097] The server sends the updated response from the AI ​​generator to the device, and the device redisplays that response. The device then displays the newly generated text instructions, as well as any additional screenshots or videos, to the user.

[1098] Step 12:

[1099] The user configures their device based on the displayed answers. The user follows the instructions and completes settings such as connecting to Wi-Fi by operating the settings app.

[1100] By going through the above processing steps, users can efficiently configure their smartphone settings themselves, and by using the emotion engine, they can receive flexible support tailored to their psychological state.

[1101] (Example 2)

[1102] 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".

[1103] Many users struggle with the complexity and lack of understanding of the procedures when setting up or configuring their smartphones. Furthermore, the provided setup guides are often formulaic and fail to adapt to individual user difficulties and concerns, resulting in insufficient support. Consequently, the setup process is stressful for users and difficult to complete efficiently.

[1104] 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.

[1105] In this invention, the server includes means for the terminal to select a question from a provided list of questions, means for the terminal to send the selected question to the server, means for the server to receive the question and pass it on to a generative AI model, means for the generative AI model to generate an answer to the question, means for the server to send the generated answer to the terminal, means for the terminal to receive the answer and display it to the user, means for the user to configure the terminal based on the displayed answer, and means for the terminal to use an emotion engine that recognizes the user's emotions to adjust the content and display method of the answer provided by the generative AI model in real time. As a result, the user can get quick and accurate answers to their questions and receive appropriate support according to their confusion and anxiety, making it possible to configure their smartphone more comfortably and efficiently.

[1106] A "terminal" is an electronic device used by a user, whose role is to select a question, send it to the server, and receive and display the answer.

[1107] A "server" is a central processing unit that receives questions sent from terminals, passes them to a generative AI model to generate answers, and then sends those answers back to the terminals.

[1108] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to generate appropriate answers to questions provided by a server.

[1109] An "emotion engine" is a technology that analyzes the user's facial expressions and voice tone to recognize their emotions, and is used to adjust the content and display method of the responses provided by the generative AI model.

[1110] "Answer" refers to explanations and setup procedures generated by a generative AI model based on the user's question, and may include images or video guides.

[1111] A "question list" is a collection of pre-prepared questions provided by the settings app to the user regarding the initial setup and various settings of their smartphone.

[1112] A "user" is an individual who uses a device to select questions, receive answers, and configure their smartphone settings.

[1113] The "client-server model" is a communication format in which the terminal functions as the client and the server performs central processing.

[1114] This invention is a system designed to help users efficiently perform initial setup and various settings on their smartphones, and further incorporates an emotion engine that recognizes the user's emotions. This system consists of a terminal, a server, a generative AI model, and an emotion engine.

[1115] First, the device launches the Settings app and displays a list of questions to the user. This list contains pre-prepared questions about settings. The user selects the question that matches their question. For example, they might select the question, "How do I connect to Wi-Fi?"

[1116] Next, the terminal sends the selected question to the server. This communication takes place over the internet and is implemented as a regular HTTP request. The terminal uploads the selected question to the server in a client-server format, sending metadata such as the question ID and user ID along with it.

[1117] The server receives a question from the terminal and passes that question to a generative AI model. The server is located in a cloud environment and has a component that hosts the generative AI model. As soon as the server receives a question, it passes the question as input to the appropriate generative AI model and generates an answer.

[1118] The generative AI model generates appropriate answers to questions provided by the server. This AI model uses natural language processing (NLP) techniques to understand the meaning of the questions and provide corresponding setup instructions and explanations. For example, it might generate an answer such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[1119] The server sends the generated response to the terminal. The response from the server may include not only the text information of the generated response, but also images and video guides to help the user understand it.

[1120] Next, the terminal displays the response received from the server to the user. The display interface is designed to allow the user to intuitively understand the response, and in addition to text instructions, relevant screenshots and video clips are displayed.

[1121] A further feature of this invention is that the terminal is equipped with an emotion engine. The emotion engine analyzes the user's facial expressions and voice tone to recognize the user's emotions. This emotion information is used to adjust the content and display method of the responses provided by the generative AI model in real time.

[1122] As a concrete example, consider a case where a user asks about "Wi-Fi settings." If the user selects the question "How do I connect to Wi-Fi?", the device sends this question to the server. The server passes the question to a generative AI model, which generates the answer "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary." The server sends the generated answer to the device, and the device displays the answer to the user.

[1123] In this case, if the emotion engine recognizes confusion or anxiety from the user's facial expressions, the generative AI model will modify its content to provide more detailed instructions or supplementary explanations. For example, additional messages such as "Please proceed while referring to the image guide" or "Would you like to play the video tutorial?" may be displayed.

[1124] Examples of prompt statements:

[1125] "The user selected the question 'How do I connect to Wi-Fi?', and the emotion engine analyzed the user's facial expressions and tone of voice to determine that they were confused. Please generate a more detailed response, supplementary explanations, and additional guidance such as image guides or video tutorials."

[1126] Thus, the present invention provides detailed and easy-to-understand instructions for users to configure their smartphones themselves, and by combining this with an emotion engine, it enables flexible support tailored to the user's emotions, significantly reducing inquiries and complaints regarding settings.

[1127] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1128] The processing flow of this system's program is divided into processing steps.

[1129] The system's program processing will be explained according to the following steps.

[1130] Step 1:

[1131] The device launches the settings app and prepares to display a list of questions. The device retrieves pre-configured question data from a local or remote database. This list of questions includes items that users frequently ask about their smartphone settings.

[1132] Input: Request to launch the Settings app

[1133] Data processing: Acquisition and formatting of questionnaire data

[1134] Output: Display of question list

[1135] Step 2:

[1136] The user selects the question that best matches their question from the displayed list of questions. For example, they might select the question, "How do I connect to Wi-Fi?"

[1137] Input: Question selection via user touch operation

[1138] Output: Selected Question ID

[1139] Step 3:

[1140] The terminal sends the selected question to the server. Communication takes place via the internet as an HTTP request. The terminal generates a request that includes the question ID and user ID as metadata and sends it to the server.

[1141] Input: Selected Question ID, User ID

[1142] Data processing: Generation of HTTP requests

[1143] Output: Sending a query request to the server

[1144] Step 4:

[1145] The server analyzes the question received from the terminal and passes the question to the generative AI model. The server uses the question ID to retrieve the appropriate question content from the database and sends a request to the generative AI model's API endpoint.

[1146] Input: Question ID, User ID

[1147] Data processing: Retrieving question content, generating AI model API requests.

[1148] Output: Send the question to the AI ​​model.

[1149] Step 5:

[1150] The generative AI model generates appropriate answers to questions provided by the server. The generative AI model uses natural language processing techniques to understand the meaning of the questions and generates answers that include setup instructions and explanations. For example, it might generate an answer such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[1151] Input: Question content

[1152] Data processing: Answer generation using natural language processing

[1153] Output: Generated answer

[1154] Step 6:

[1155] The server receives the generated response and sends it to the terminal. If the response from the generating AI model includes images or video guides, the server generates a response that includes them.

[1156] Input: Generated answer

[1157] Data processing: Generation of HTTP response

[1158] Output: Sending response to terminal

[1159] Step 7:

[1160] The terminal displays the response received from the server to the user. The display interface is designed to allow the user to intuitively understand the response, and relevant screenshots and video clips are displayed along with text instructions.

[1161] Input: Response from the server

[1162] Data processing: Analysis of response content and generation of display screen.

[1163] Output: Display to the user

[1164] Step 8:

[1165] The emotion engine built into the device analyzes the user's facial expressions and voice tone to recognize their emotions. If the emotion engine detects confusion or anxiety in the user, it feeds that information back into the generating AI model to adjust the response.

[1166] Input: User's facial expressions and voice data

[1167] Data processing: Sentiment analysis, feedback to generative AI models.

[1168] Output: Display of adjusted answers

[1169] Specifically, if a user selects the question "How do I connect to Wi-Fi?" and the emotion engine detects confusion from the user's facial expression, additional instructions such as "Please refer to the image guide" or "Would you like to play the video tutorial?" will be displayed. In this way, the content and display format of the responses are dynamically adjusted according to the user's emotions.

[1170] Based on the above processing steps, this system is designed to allow users to configure their smartphones efficiently and without stress.

[1171] (Application Example 2)

[1172] 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".

[1173] Providing customer support in physical stores can be challenging, as customers often face difficulties setting up or troubleshooting their devices. This is especially true for tech-savvy or elderly customers, who may find the device setup process confusing and stressful. Furthermore, time and staffing constraints make it difficult for store employees to provide prompt and accurate support to all customers. Therefore, a more efficient and flexible support system is needed to enhance customer satisfaction.

[1174] 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.

[1175] In this invention, the server includes means for the terminal to select a question from a provided list of questions, means for the terminal to send the selected question to the server, means for the server to receive the question and pass it on to a generating AI, means for the generating AI to generate an answer to the question, means for the server to send the generated answer to the terminal, means for the terminal to receive the answer and display it to the user, means for the user to configure the terminal based on the displayed answer, means for the terminal to be equipped with an emotion engine that recognizes the user's emotions and adjust the content and display method of the answer provided by the generating AI according to the user's emotions, and means for displaying emotion information and the answer in real time on smart glasses worn by a store employee. As a result, when customers receive technical support in a physical store, they can be provided with customized answers according to their individual emotional state, and can efficiently and safely configure their devices with the assistance of a store employee.

[1176] A "device" refers to an electronic device that the user directly operates, such as a smartphone or tablet.

[1177] A "server" is a computer system that manages communication with terminals via a network and performs data processing and hosts AI generation.

[1178] The "Question List" is a list of pre-prepared questions about settings and troubleshooting that users can select on their device.

[1179] "Generative AI" refers to an artificial intelligence system that uses natural language processing technology to generate answers to user questions.

[1180] "Answers" refer to information such as explanatory text, instructions, images, and video guides generated by the AI ​​in response to a user's question.

[1181] An "emotion engine" is a system that analyzes a user's facial expressions and voice tone to recognize their emotions.

[1182] "Smart glasses" are glasses-type electronic devices that, when worn, visually display information and provide real-time information.

[1183] A "user" refers to a person who operates the device, selects questions, and performs settings and troubleshooting.

[1184] A "display interface" is a mechanism for visually displaying information on a device screen, and it is designed to be intuitively understandable to the user.

[1185] "Store clerk" refers to an employee who provides support to customers in a physical store.

[1186] This invention provides a system for providing efficient and flexible customer support in physical stores. The system consists of a terminal, a server, a generative AI, an emotion engine, and smart glasses worn by store employees.

[1187] First, customers ask questions using tablet or robotic terminals within the store. The terminals display a pre-prepared list of questions, from which customers select a question. Questions include "How do I connect to Wi-Fi?", "How do I install a new app?", and "How do I enhance my smartphone's security settings?". The selected question is sent to the server as an HTTP request via the internet.

[1188] The server receives a question from the device and passes it to the generative AI. Specifically, the generative AI model is hosted on the server, and the server passes the question as input to the generative AI model to generate an answer using natural language processing technology. For example, it might generate an answer such as, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary."

[1189] Next, the server sends the generated response to the terminal. The terminal receives the response and displays it to the user. The display interface is designed to allow the user to intuitively understand the response, and in addition to text instructions, relevant screenshots and video clips are displayed.

[1190] Furthermore, the device is equipped with an emotion engine that analyzes the user's facial expressions and voice tone to recognize emotions. This emotion information is fed back to the generating AI and server in real time, dynamically adjusting the content and display method of the responses provided by the generating AI according to the user's emotions. For example, if the user shows a confused expression, the generating AI will change to provide more detailed instructions or supplementary explanations.

[1191] Furthermore, the smart glasses worn by the staff display emotional information and responses in real time, enabling them to provide appropriate support to customers. These smart glasses are useful for quickly understanding what problems customers are facing and providing effective advice on the spot.

[1192] As a concrete example, the following prompt text will be input to the generation AI to produce an appropriate response:

[1193] "How do I connect to Wi-Fi?"

[1194] "How do I install a new app?"

[1195] "How can I strengthen my smartphone's security settings?"

[1196] This invention allows customers to receive customized answers tailored to their individual emotional state when receiving technical support in a physical store, enabling them to efficiently and confidently configure their devices with the assistance of store staff.

[1197] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1198] Step 1:

[1199] The user selects a question on their device.

[1200] The user selects a question from a pre-prepared list using a tablet or robotic terminal in the physical store. The terminal receives the user's input and generates request data, including the question ID and user ID. This generated request data is then sent to the next step.

[1201] Step 2:

[1202] The device sends the selected question to the server.

[1203] The terminal sends the user-selected question as request data to the server via the internet. This transmission is in the format of a standard HTTP request and is received on the server side. The input is the user-selected question data, and the output is the arrival of this data to the server.

[1204] Step 3:

[1205] The server passes the question to the question generation AI.

[1206] The server receives questions sent from the terminal and passes them as input to the generative AI model. The server analyzes the received data and provides the appropriate generative AI model with input data as prompts. During this process, data preprocessing and format conversion are performed. The input is the request data from the terminal, and the output is the prompt to the generative AI.

[1207] Step 4:

[1208] The generative AI generates answers to questions.

[1209] The generative AI model generates appropriate answers to questions based on prompts provided by the server. Using natural language processing techniques, the generative AI analyzes the input prompts, understands their meaning, and creates appropriate response text. For example, in response to the question, "How do I connect to Wi-Fi?", it generates the answer, "Open the Settings app, go to the 'Wi-Fi' section, select from the available networks, and enter the password if necessary." The input is the prompt, and the output is the generated text response.

[1210] Step 5:

[1211] The server sends the generated response to the terminal.

[1212] The server receives the response generated by the generative AI and sends it as a response to the device that sent the request. When the server sends the response to the device, it includes supplementary information such as images and video guides as needed. The input is the response data generated by the generative AI, and the output is the response data sent to the device.

[1213] Step 6:

[1214] The device receives the response and displays it to the user.

[1215] The terminal analyzes the responses received from the server and displays them in a user-friendly format. The display interface is designed to be intuitive and easy for users to understand, and may include screenshots or video clips in addition to text responses. The input is the response data from the server, and the output is the data displayed on the terminal screen.

[1216] Step 7:

[1217] The device recognizes the user's emotions.

[1218] The emotion engine built into the device analyzes the user's facial expressions and voice tone to recognize their emotions. The emotion engine uses the camera and microphone to capture the user's facial expressions and voice, and analyzes this data to determine the user's emotional state in real time. The input is the user's facial expressions and voice data, and the output is the analyzed emotion information.

[1219] Step 8:

[1220] The store staff wear smart glasses that display emotional information and responses in real time.

[1221] The system displays user emotion information recognized by the terminal and responses generated by AI in real time on smart glasses worn by store staff. This allows staff to quickly provide appropriate support to customers. The input is emotion information and response data from the terminal, and the output is the data displayed on the smart glasses. This series of steps enables efficient customer support within physical stores.

[1222] 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.

[1223] 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.

[1224] 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 robot 414.

[1225] 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.

[1226] 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.

[1227] 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.

[1228] 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.

[1229] 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.

[1230] 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."

[1231] 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.

[1232] 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.

[1233] 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.

[1234] 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.

[1235] 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.

[1236] 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.

[1237] 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.

[1238] 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.

[1239] 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.

[1240] 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.

[1241] 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.

[1242] 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 as being incorporated by reference.

[1243] The following is further disclosed regarding the embodiments described above.

[1244] (Claim 1)

[1245] The terminal has a means of selecting a question from a list of questions provided,

[1246] A means by which the terminal sends the selected question to the server,

[1247] A means by which the server receives a question and passes it on to the generating AI,

[1248] A means by which a generative AI generates answers to questions,

[1249] A means by which the server sends the generated response to the terminal,

[1250] A means by which the device receives and displays the response to the user,

[1251] A system that includes means for configuring the device based on the user's displayed responses.

[1252] (Claim 2)

[1253] The system according to claim 1, characterized in that the server-generated response includes an image or video guide.

[1254] (Claim 3)

[1255] The system according to claim 1, characterized in that the terminal dynamically adjusts the layout of the display screen in order to display the answer in an easy-to-understand manner.

[1256] "Example 1"

[1257] (Claim 1)

[1258] The terminal has a means of selecting a question from a list of questions provided,

[1259] A means by which the terminal sends the selected question to the server via the network,

[1260] A server receives a question and passes the received question to a generating AI model,

[1261] A means by which a generative AI model generates answers based on a question,

[1262] A means by which the server sends the generated response to the terminal,

[1263] A means by which the device receives and displays the response to the user,

[1264] A system that includes means for configuring the device based on the user's displayed responses.

[1265] (Claim 2)

[1266] The system according to claim 1, characterized in that the server-generated response includes an image or video guide.

[1267] (Claim 3)

[1268] The system according to claim 1, characterized in that the terminal dynamically adjusts the layout of the display screen in order to display the answer in an easy-to-understand manner.

[1269] "Application Example 1"

[1270] (Claim 1)

[1271] The terminal has a means of selecting a question from a list of questions provided,

[1272] A means by which the terminal sends the selected question to the server,

[1273] A means by which the server receives a question and passes it on to the generating AI,

[1274] A means by which a generative AI generates answers to questions,

[1275] A means by which the server sends the generated response to the terminal,

[1276] A means by which the device receives and displays the response to the user,

[1277] A means for the user to configure the device based on the displayed answer,

[1278] A system that includes means of providing explanations and support in multiple languages ​​in real time for questions regarding content distribution settings and viewing.

[1279] (Claim 2)

[1280] The system according to claim 1, characterized in that the server-generated response includes images or video guides, multimedia materials, etc.

[1281] (Claim 3)

[1282] The system according to claim 1, characterized in that the terminal dynamically adjusts the display interface based on the user profile in order to display the answers in an easy-to-understand manner.

[1283] "Example 2 of combining an emotion engine"

[1284] (Claim 1)

[1285] The terminal has a means of selecting a question from a list of questions provided,

[1286] A means by which the terminal sends the selected question to the server,

[1287] A means by which the server receives a question and passes it to the generating AI model,

[1288] A means by which a generative AI model generates answers to questions,

[1289] A means by which the server sends the generated response to the terminal,

[1290] A means by which the device receives and displays the response to the user,

[1291] A means for the user to configure the device based on the displayed answer,

[1292] A system that includes means for adjusting the content and display method of responses provided by a generative AI model in real time, using an emotion engine that recognizes the user's emotions on the device.

[1293] (Claim 2)

[1294] The system according to claim 1, characterized in that the server-generated response includes an image or video guide.

[1295] (Claim 3)

[1296] The system according to claim 1, characterized in that the terminal dynamically adjusts the layout of the display screen in order to display the answer in an easy-to-understand manner based on the user's emotional information.

[1297] "Application example 2 when combining with an emotional engine"

[1298] (Claim 1)

[1299] The terminal has a means of selecting a question from a list of questions provided,

[1300] A means by which the terminal sends the selected question to the server,

[1301] A means by which the server receives a question and passes it on to the generating AI,

[1302] A means by which a generative AI generates answers to questions,

[1303] A means by which the server sends the generated response to the terminal,

[1304] A means by which the device receives and displays the response to the user,

[1305] A means for the user to configure the device based on the displayed answer,

[1306] By equipping the device with an emotion engine that recognizes the user's emotions, it provides a means to adjust the content and display method of the responses provided by the AI ​​in accordance with the user's emotions,

[1307] A method for displaying emotional information and responses in real time on smart glasses worn by store staff,

[1308] A system that includes this.

[1309] (Claim 2)

[1310] The system according to claim 1, characterized in that the server-generated response includes an image or video guide.

[1311] (Claim 3)

[1312] The system according to claim 1, characterized in that the terminal dynamically adjusts the layout of the display screen in order to display the answer in an easy-to-understand manner. [Explanation of Symbols]

[1313] 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. The terminal has a means of selecting a question from a list of questions provided, A means by which the terminal sends the selected question to the server, A means by which the server receives a question and passes it on to the generating AI, A means by which a generative AI generates answers to questions, A means by which the server sends the generated response to the terminal, A means by which the device receives and displays the response to the user, A system that includes means for configuring the device based on the user's displayed responses.

2. The system according to claim 1, characterized in that the server-generated response includes an image or video guide.

3. The system according to claim 1, characterized in that the terminal dynamically adjusts the layout of the display screen in order to display the answer in an easy-to-understand manner.

Images