system

Abstract

Provide a system. [Solution] A means for providing a user interface for students to select a subject or course they wish to consult; a server for searching for relevant educational content based on a user's selection and providing the educational content; means for providing an interface for a user to input a question; means for transmitting an input question to a server, analyzing the question, and generating an appropriate answer; means for providing the generated answer in text, audio, or video form; A system including:

Description

[Technical Field]

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

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the 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] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] In conventional educational systems, it is difficult for students to receive real-time instruction from renowned instructors, which often makes self-study difficult. Furthermore, learning materials and explanations are often scattered, reducing learning efficiency. Furthermore, answers to questions can be inconsistent, making it difficult for students to obtain accurate information. To solve these problems, a system is needed that allows students to receive instruction from renowned instructors wherever they are. [Means for solving the problem]

[0005] The present invention is a system comprising: means for providing a user interface for students to select the subject or course they wish to consult about; a server for searching for and providing related educational content based on the user's selection; means for providing an interface for users to input questions; means for transmitting the input question to the server, analyzing the question, and generating an appropriate answer; and means for providing the generated answer in text, audio, or video format (Claim 1). By providing a server containing a database for storing patterns of educational content (Claim 2), answers can be generated quickly and accurately. Furthermore, by including speech synthesis means for providing the generated answer in audio format (Claim 3), students can obtain auditory information in addition to visual information, improving the effectiveness of their learning.

[0006] A "user interface" is the means of interaction that students use to select courses or subjects and enter questions.

[0007] "Educational content" refers to the collection of information and knowledge, such as lectures and blackboard notes, that students use to learn.

[0008] A "server" is a central processing unit for receiving and analyzing student questions, and generating and providing appropriate answers.

[0009] "Questions" are entered by students during their studies regarding points they are unclear about or would like to understand more about.

[0010] "Text format" refers to a method of presenting information using text.

[0011] "Speech format" refers to a method of presenting information that conveys language as sound.

[0012] "Video format" refers to the presentation of information using dynamic visual media.

[0013] "Speech synthesis means" refers to technology or devices that convert text information into speech and output it.

[0014] A "database" is a system that stores patterned educational content and stores it in a searchable form as needed. [Brief explanation of the drawings]

[0015] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0016] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0017] First, the terms used in the following description will be explained.

[0018] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0019] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0020] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0021] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0023] [First embodiment]

[0024] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0025] 1, a 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.

[0026] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0027] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0028] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the 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.

[0029] 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 of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0031] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] 2, in the data processing device 12, a specific process 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" according to the technology of the present 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 process 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.

[0033] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0034] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0035] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0036] This system allows students to receive guidance from renowned cram school instructors anytime, anywhere to solve questions and problems they encounter while studying. The system includes the following main components: a user interface, a server, a question analysis unit, an answer generation unit, and an answer provision unit.

[0037] User Interface

[0038] The user interface is the interaction part that makes it easy for students (users) to use the app. When a user launches the app, a screen for selecting a subject or course is displayed. For example, if the user selects "Mathematics," related educational content is displayed.

[0039] server

[0040] The server is a central processing unit that receives user selections and inputs and generates appropriate answers. The server has a database containing patterned educational content. By searching this database, the server finds appropriate answers to user questions.

[0041] Question analysis means

[0042] When a user inputs a question, the device sends the question to the server. The server then analyzes the received question using natural language processing technology and extracts keywords. For example, if the user inputs a question such as "I don't understand basic applied problems in differential and integral calculus," the server will extract keywords such as "differential and integral calculus" and "applied problems."

[0043] Answer generation means

[0044] Based on the keywords extracted by the question analysis means, the server searches a database to find the most appropriate lecture content or blackboard content. This data is then used to generate an appropriate answer. The generated answer can be formatted as text, audio, or video. For example, if the answer is in audio format, the server uses a speech synthesis means to convert the text into audio.

[0045] How to provide answers

[0046] The generated answer is sent from the server to the terminal. The terminal provides the received answer to the user. The response format is displayed in text, audio, or video format based on the user's selection. For example, if the user selects audio format, an audio player is launched and the generated audio is played.

[0047] Specific examples

[0048] For example, if a user selects "English" and enters "I don't know how to use relative pronouns," the device will send this question to the server. The server will extract keywords such as "relative pronouns" and "usage" and search the database. Based on the most appropriate lecture content and blackboard notes, the server will generate an audio response and send it to the device. The device will then launch an audio player, allowing the user to receive instruction.

[0049] As a result, the system of the present invention allows students to receive effective support from famous cram school instructors wherever they are, thereby improving their learning efficiency.

[0050] The processing flow will be explained below.

[0051] Step 1:

[0052] The user launches the app.

[0053] The app's home screen will appear, allowing users to select the subject or course they would like to consult about.

[0054] Step 2:

[0055] The user selects the subject or course they wish to consult about.

[0056] The device sends a request to the server based on the user's selection, reporting the selection, such as "math."

[0057] Step 3:

[0058] The server receives the request.

[0059] The server searches the database for educational content related to the selected subject and returns it to the terminal.

[0060] Step 4:

[0061] The terminal displays the received educational content to the user.

[0062] The user reviews the provided educational content and thinks of a question.

[0063] Step 5:

[0064] The user enters a question in text format.

[0065] For example, enter "I don't understand basic application problems in differential and integral calculus."

[0066] Step 6:

[0067] The terminal sends the entered question to the server.

[0068] The question is sent to the server as an HTTP request.

[0069] Step 7:

[0070] The server parses the received query.

[0071] Using natural language processing technology, keywords such as "calculus" and "applied problems" are extracted from the questions.

[0072] Step 8:

[0073] The server searches the database based on the extracted keywords.

[0074] Find relevant lecture content and board notes.

[0075] Step 9:

[0076] The server generates the best answer.

[0077] Based on the lecture content found, it generates and formats appropriate answers to questions.

[0078] Step 10:

[0079] The server generates a response and sends it to the terminal.

[0080] Answers can be provided in text, audio, or video format.

[0081] Step 11:

[0082] The terminal provides the received answer to the user.

[0083] If it is in text format, it is displayed on the screen, if it is in audio format, it is played on an audio player, and if it is in video format, it is played on a video player.

[0084] Step 12:

[0085] The user checks the answers and resolves their doubts.

[0086] The user sees, hears, or visually understands the answers provided.

[0087] This detailed processing step allows the system to quickly and effectively provide relevant answers to users' questions.

[0088] Example 1

[0089] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0090] It is difficult to provide prompt and appropriate answers to the questions and problems that students face during their studies. In particular, there are limited environments where students can receive guidance from instructors with specialized knowledge, which reduces learning efficiency at home or while traveling.

[0091] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0092] In this invention, the server includes a means for providing a user interface for students to select the subject or course they wish to consult about, a central processing unit for searching for relevant educational content based on the user's selection and providing that educational content, a means for providing an interface for users to input questions, a means for transmitting the input question to the central processing unit, analyzing the question, and generating an appropriate answer, and a means for providing the generated answer in text, audio, or video format. This enables students to receive prompt and appropriate guidance from renowned cram school instructors wherever they are.

[0093] A "student" is a person studying a particular subject or subject in order to receive an education.

[0094] "Consulting" is the act of seeking advice or answers regarding questions or issues that arise during learning.

[0095] A "subject" refers to a specific area of ​​knowledge as part of an educational curriculum.

[0096] A "subject" is a subject of study that is further subdivided into a specific subject.

[0097] The "user interface" is the part that provides the screen and operating means for the user to interact with the system.

[0098] A "central processing unit" is a computer device that analyzes information entered by a user and performs appropriate processing or response.

[0099] "Data storage device" refers to a recording medium or database system for storing educational content in a patterned format.

[0100] "Speech synthesis device" refers to equipment and software technology for converting text data into voice data.

[0101] "Educational content" refers to information about the knowledge and skills to be learned.

[0102] "Questions" are specific inquiries about doubts or issues that arise during learning.

[0103] An "answer" is a response or explanation provided to a question.

[0104] "Text format" refers to the format in which text is displayed.

[0105] "Audio format" refers to the format in which the audio is displayed.

[0106] "Video format" refers to the display format of the video.

[0107] The present invention is a system that allows students to receive guidance from instructors anytime, anywhere to solve questions or problems they encounter during their studies. The system includes the following major components: a user interface, a central processing unit, a question analysis unit, an answer generation unit, and an answer provision unit.

[0108] User Interface

[0109] The user interface is the interaction section that makes it easy for students (users) to use the app. When a user launches the app, a screen appears for selecting a subject or course. For example, if the user selects "Mathematics," related educational content is displayed.

[0110] central processing unit

[0111] The central processing unit is a computing device that receives user selections and inputs and generates appropriate answers. This device has a data store that stores patterned educational content. By searching this data store, the central processing unit finds appropriate answers to user questions.

[0112] question analysis device

[0113] When a user inputs a question, the terminal sends the question to the central processing unit, which analyzes the received question using natural language processing technology and extracts keywords. For example, if the question is "I don't understand basic applied problems in differential and integral calculus," the central processing unit extracts keywords such as "differential and integral calculus" and "applied problems."

[0114] answer generator

[0115] Based on the keywords extracted by the question analyzer, the central processing unit searches the data storage device to find the most appropriate lecture content or blackboard content. This data is then used to generate an appropriate answer. The generated answer may be formatted as text, audio, or video. For example, in the audio format, the central processing unit uses a speech synthesizer to convert the text into audio.

[0116] Answer providing device

[0117] The generated answer is sent from the central processing unit to the terminal. The terminal provides the received answer to the user. The response format is displayed in text, audio, or video format based on the user's selection. For example, if the user selects audio format, an audio player is launched and the generated audio is played.

[0118] Specific examples

[0119] For example, if a user selects "English" and enters "I don't know how to use relative pronouns," the terminal will send this question to the central processing unit. The central processing unit will extract keywords such as "relative pronouns" and "usage" and search the data storage device. Based on the most appropriate lecture content and blackboard notes, the central processing unit will generate an answer in audio format and send it to the terminal. The terminal will then launch an audio player, allowing the user to receive guidance.

[0120] Prompt Sentence Examples

[0121] The prompt for the generative AI model would be:

[0122] "Write a program for a system that analyzes questions entered by students and generates answers in spoken form based on appropriate educational content."

[0123] As a result, the system of the present invention allows students to receive effective support from instructors wherever they are, thereby improving learning efficiency.

[0124] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0125] Step 1:

[0126] App launch

[0127] The user launches the application on their device. The user's login information (user ID, password) is required as input. The output is a subject selection screen. Specifically, the device launches the application and displays the login screen. The user enters the login information and clicks the login button.

[0128] Step 2:

[0129] Subject Selection

[0130] When a user logs in, a subject selection screen is displayed. The input requires the user's subject selection (e.g., Mathematics, English). The output is a display of related educational content. Specifically, the terminal displays the subject selection screen and waits for the user to make a selection. The user selects a subject and clicks the Select button.

[0131] Step 3:

[0132] Enter a question

[0133] After the user selects a subject, a question input screen is displayed. The input requires the user's question (e.g., "I don't understand the basic application problem in differential and integral calculus"). The output is the question being sent from the terminal to the server. Specifically, the terminal displays the question input screen and waits for the user's input. The user enters the question and clicks the send button.

[0134] Step 4:

[0135] Submit a question

[0136] The device sends the user's question to the server. The input required is the content of the user's question. The output is the server's confirmation of receipt. Specifically, the device sends the question entered by the user to the server as text data.

[0137] Step 5:

[0138] question analysis

[0139] The server analyzes the received question and extracts keywords using natural language processing technology. The input required is the submitted question text. The output is the extracted keywords. Specifically, the server analyzes the question text and extracts important keywords. It uses a natural language processing library (e.g., spaCy or NLTK).

[0140] Step 6:

[0141] Answer generation

[0142] The server searches the database based on the extracted keywords to find the most suitable educational content. The extracted keywords are required as input. The output is the generated answer. Specifically, the server searches the database to find the most suitable answer. It uses an SQL query to search the database and find the most suitable lecture content. It then uses speech synthesis technology to convert the text into speech.

[0143] Step 7:

[0144] Provide answers

[0145] The server sends the generated answer to the terminal. The generated answer data is required as input. The output is the answer received by the terminal. Specifically, the server sends the generated answer to the terminal. The terminal provides the received answer to the user. The answer is displayed based on the format selected by the user. For example, if the answer is in audio format, an audio player is launched and the generated audio is played.

[0146] (Application example 1)

[0147] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0148] Conventional learning support systems are primarily limited to providing educational content for students and are not suitable for problem-solving or support in real-world work environments. Furthermore, they lack the means to obtain fast and accurate answers to the complex problems faced by on-site workers. This can lead to reduced work efficiency and increased errors. There is a particular need for a hands-free method of obtaining information, but current systems have difficulty meeting these requirements.

[0149] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0150] In this invention, the server includes: means for providing a user interface for students to select the subject or course they wish to consult about; a server for searching for relevant educational content based on the user's selection and providing the educational content; means for providing an interface for users to input questions; means for transmitting the input questions to the server, analyzing the questions, and generating appropriate answers; means for providing the generated answers in text, audio, or video format; and means for providing problem-solving support to workers wearing smart devices that allow users to input questions by voice and provide the generated answers in audio or video format. This allows on-site workers to quickly and accurately solve problems without using their hands, thereby improving work efficiency and quality.

[0151] A "user interface" is an element that provides an operation screen and input means for a user to interact with a system.

[0152] A "server" is a central processing unit that processes user selections and inputs and generates and provides appropriate responses.

[0153] The "interface for inputting questions" is an input means by which a user inputs questions or issues to the system.

[0154] The "means for analyzing a question and generating an appropriate answer" is a function that analyzes an input question, searches for and combines related information, and generates an optimal answer.

[0155] The "means for providing the generated answer in text, audio, or video format" is a function for presenting the generated answer to the user in an appropriate format.

[0156] A "smart device" is a device worn by a user and has the function of inputting and outputting audio and video.

[0157] "Worker" refers to a person who performs a specific task or work, and is a user who uses the system.

[0158] "Means to support problem solving" is a function that provides appropriate information and instructions to help workers solve the questions and problems they face.

[0159] This invention is a system that supports problem-solving in the workplace, and aims to provide instant, expert answers via smart devices. This system applies a conventional system for solving questions and problems that students face during their studies, and provides a means for workers to solve problems they face in the workplace.

[0160] To implement the present invention, the following hardware and software are required:

[0161] 1. Smart devices (e.g., smart glasses)

[0162] 2. Server

[0163] 3. Database

[0164] 4. Natural Language Processing Libraries (NLP Models)

[0165] 5. Speech recognition library (e.g., speech_recognition)

[0166] 6. Speech synthesis library (e.g., pyttsx3)

[0167] Generating a Program

[0168] The system of the present invention performs the following process: First, the worker uses a microphone attached to the smart device to input a question by voice. This voice is converted into text using a speech recognition library (speech_recognition). Then, the question is analyzed using natural language processing (NLP model) to extract keywords. Based on these keywords, the server searches a database and generates the optimal answer. The generated answer is converted into voice format using a speech synthesis library (pyttsx3) and is provided to the worker again via the smart device.

[0169] Specific hardware and software names used

[0170] The hardware used includes smart glasses as a smart device and a server as a central processing unit. The software used is the speech_recognition library for speech recognition, an NLP model for natural language processing, and the pyttsx3 library for speech synthesis.

[0171] Specific examples

[0172] For example, if a mechanic asks, "How do I troubleshoot a hydraulic system?", the smart glasses collect this speech and convert it into text using a speech recognition library. Then, they use an NLP model to extract keywords such as "hydraulic system" and "troubleshooting." The server then searches the database based on these keywords and generates the most appropriate answer. The generated answer is then converted into audio format using a speech synthesis library and provided to the mechanic through the smart glasses.

[0173] Example prompt sentence:

[0174] User: "How do I troubleshoot a hydraulic system?"

[0175] Systems: "When troubleshooting a hydraulic system, first verify that the hydraulic pump is working. Then check the piping for damage or leaks and check the pressure gauges. Need more detailed instructions?"

[0176] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0177] Step 1:

[0178] The user (worker) wears a smart device (smart glasses) and inputs a question by voice. Specifically, the user uses the voice input function to speak a question such as, "Please tell me how to troubleshoot a hydraulic system." The input is voice data, which is processed in the next step.

[0179] Step 2:

[0180] The smart device converts the input voice data into text using a voice recognition library (e.g., speech_recognition). Specifically, the voice data is passed to a recognition engine and converted into text format. The output of this process is the text data "Please tell me how to troubleshoot a hydraulic system."

[0181] Step 3:

[0182] The smart device or server passes the text data to a natural language processing library (NLP model) to analyze the text. Specifically, the NLP model extracts keywords from the text. The input for this step is the text data, and the output is keywords such as "hydraulic system" and "troubleshooting."

[0183] Step 4:

[0184] The server searches the database based on the extracted keywords to obtain relevant information. Specifically, a database query is executed to select the most appropriate answer. The input of this step is keyword data, and the output is answer data.

[0185] Step 5:

[0186] The server passes the generated answer data to a speech synthesis library (e.g., pyttsx3) and converts it into speech format. Specifically, the text data is converted into speech data, and a speech file is generated. The input of this step is the answer data, and the output is speech data.

[0187] Step 6:

[0188] The smart device plays the generated audio data and provides it to the user. Specifically, the audio is played through the speaker of the smart glasses. The input of this step is audio data, and the output is audio information.

[0189] Through the above processing steps, users can input questions by voice and receive quick and accurate answers through their smart devices.

[0190] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0191] This invention is a system that allows students to receive guidance from renowned cram school instructors anytime, anywhere to solve questions and problems they encounter while studying. Furthermore, this invention incorporates an "emotion engine" that recognizes the user's emotions and provides appropriate support based on those emotions. This system includes the following components: a user interface, a server, a question analysis means, an answer generation means, an emotion engine, and an answer provision means.

[0192] User Interface

[0193] The user interface is the interaction part that makes it easy for users to use the app. When a user launches the app, a screen appears for selecting a subject or course of study. For example, if the user selects "Mathematics," related educational content is displayed.

[0194] server

[0195] The server is a central processing unit that receives user selections and inputs and generates appropriate answers. The server has a database containing patterned educational content. By searching this database, the server finds appropriate answers to user questions.

[0196] Question analysis means

[0197] When a user inputs a question, the device sends the question to the server. The server then analyzes the received question using natural language processing technology and extracts keywords. For example, if the user inputs a question such as "I don't understand basic applied problems in differential and integral calculus," the server will extract keywords such as "differential and integral calculus" and "applied problems."

[0198] Answer generation means

[0199] Based on the keywords extracted by the question analysis means, the server searches a database to find the most appropriate lecture content or blackboard content. This data is then used to generate an appropriate answer. The generated answer can be formatted as text, audio, or video. For example, if the answer is in audio format, the server uses a speech synthesis means to convert the text into audio.

[0200] Emotion Engine

[0201] The emotion engine is a technology that recognizes the user's emotional state in real time. For example, it analyzes the user's facial expressions and tone of voice to determine whether the user is confused, stressed, or confident. This information is sent to the server and taken into consideration when generating answers.

[0202] How to provide answers

[0203] The generated answer is sent from the server to the terminal. The terminal provides the received answer to the user. The response format is displayed in text, audio, or video format based on the user's selection. For example, if the user selects audio format, an audio player is launched and the generated audio is played.

[0204] Specific examples

[0205] For example, if a user selects "English" and enters "I don't know how to use relative pronouns," the device will send this question to the server. The server will extract keywords such as "relative pronouns" and "usage" and search the database. Based on the most appropriate lecture content and blackboard notes, the server will generate an audio response and send it to the device. The device will then launch an audio player, allowing the user to receive instruction.

[0206] Furthermore, if the emotion engine determines that the user is feeling stressed based on their facial expression, the server generates an additional encouraging message, such as "You're doing well, you'll understand soon," to motivate the user.

[0207] This allows the system of the present invention to provide effective support from renowned cram school instructors wherever students are, improving learning efficiency. Furthermore, the introduction of an emotion engine makes it possible to provide individual support according to the user's emotional state, bringing even greater benefits.

[0208] The processing flow will be explained below.

[0209] Step 1:

[0210] The user launches the app.

[0211] The app's home screen will appear, allowing users to select the subject or course they would like to consult about.

[0212] Step 2:

[0213] The user selects the subject or course they wish to consult about.

[0214] For example, selecting "Mathematics" causes the terminal to send the user's selection as a request to the server.

[0215] Step 3:

[0216] The server receives the request.

[0217] The server searches the database for educational content related to "mathematics" and returns it to the terminal.

[0218] Step 4:

[0219] The terminal displays the received educational content to the user.

[0220] For example, specific topics such as calculus and linear algebra are displayed.

[0221] Step 5:

[0222] The user enters a question in text format.

[0223] For example, enter "I don't understand basic application problems in differential and integral calculus."

[0224] Step 6:

[0225] The terminal sends the entered question to the server.

[0226] The question is sent to the server as an HTTP request.

[0227] Step 7:

[0228] The server parses the received query.

[0229] Using natural language processing technology, keywords such as "calculus" and "applied problems" are extracted from the questions.

[0230] Step 8:

[0231] The server searches the database based on the extracted keywords.

[0232] Find relevant lecture content and board notes.

[0233] Step 9:

[0234] The server generates the best answer.

[0235] Based on the discovered lecture content, it generates and formats appropriate answers to questions, including specific problem-solving steps.

[0236] Step 10:

[0237] The server generates a response and sends it to the terminal.

[0238] Answers can be provided in text, audio, or video format.

[0239] Step 11:

[0240] The terminal provides the received answer to the user.

[0241] If it is in text format, it will be displayed on the screen, if it is in audio format, it will be played in an audio player, and if it is in video format, it will be played in a video player.

[0242] Step 12:

[0243] The user checks the answer.

[0244] For example, you can read step-by-step explanations in text format, listen to the instructor's explanations in audio format, and visually learn the specific solution steps in video format.

[0245] Step 13:

[0246] In order for the device to recognize the user's emotional state, it uses the device's camera and microphone to send data to the emotion engine.

[0247] The emotion engine analyzes the user's facial expressions and vocal tone to determine their emotional state.

[0248] Step 14:

[0249] The server analyzes the emotion data received from the emotion engine.

[0250] For example, if it is determined that the user is experiencing stress, the server can use that information to provide additional support.

[0251] Step 15:

[0252] The server generates additional answers or encouraging messages based on the emotion data.

[0253] For example, it generates a message such as, "I will teach you carefully until you understand, so please try your best without rushing."

[0254] Step 16:

[0255] Sends any additional responses or messages generated by the server to the terminal.

[0256] It may be provided in text, audio, or video format.

[0257] Step 17:

[0258] The terminal provides the user with any additional responses or messages it receives.

[0259] The user receives additional guidance and encouraging messages to continue learning.

[0260] This detailed processing step allows the system to quickly and effectively provide relevant answers to users' questions, as well as provide personalized support depending on their emotional state.

[0261] Example 2

[0262] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0263] Today's students need support to quickly and accurately resolve questions and issues that arise during their studies. However, physical distance and time constraints make it difficult to receive direct instruction from renowned instructors. Furthermore, the lack of flexible support tailored to students' emotional state can lead to reduced learning efficiency.

[0264] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0265] In this invention, the server includes a means for providing a user interface for students to select the subject or lesson they want to consult about, a central processing unit for searching for related learning content based on the user's selection and providing that learning content, and a means for providing an interface for users to input questions. This allows students to receive instruction from famous cram school instructors wherever they are. Furthermore, incorporating an emotion engine enables personalized support based on the user's emotional state, improving learning efficiency.

[0266] "Means for providing a user interface for students to select the subjects or courses they wish to consult about" refers to the screen or interaction area that allows students to select the courses or courses they wish to study when the application is launched.

[0267] "A central processing unit for searching for relevant learning content based on the user's selection and providing the learning content" refers to a computer system that searches information in a database, finds the most appropriate answer or learning content to the user's question, and provides it.

[0268] "Means for providing an interface for users to input questions" refers to a text input field or voice input system that allows users to input doubts or questions that arise during their studies.

[0269] "Means for sending the input question to a central processing unit, analyzing the question, and generating an appropriate answer" refers to the process of analyzing the question sent by the user using natural language processing technology and generating appropriate learning content and answers based on the results.

[0270] "Means for providing the generated answer in text, audio, or visual form" refers to an interface, including a text display, audio playback, or visual display, for providing the answer generated by the central processing unit to the user.

[0271] "Means including an emotion engine for recognizing the user's emotional state and providing additional support based on that emotion" refers to a system that has the function of determining the user's emotion from facial expressions, tone of voice, etc., and providing appropriate additional encouragement or support based on the results.

[0272] A "database for storing patterns of learning content" refers to a data storage system that organizes and stores each learning content in a specific format or pattern.

[0273] "Speech synthesis means for providing the generated answer in audio form" refers to a technology for converting a text-format answer into audio and providing the answer to the user in audio form.

[0274] This system allows students to receive guidance from renowned instructors wherever they are to solve questions and problems they encounter during their studies. It also incorporates an "emotion engine" that recognizes the user's emotions and provides appropriate support based on those emotions. This system includes the following components: a user interface, a central processing unit (server), a question analysis unit, an answer generation unit, the emotion engine, and an answer provision unit.

[0275] First, the user launches the application on their smartphone or PC and selects a subject. The subject selection screen is a user interface that displays academic fields such as mathematics, English, and science. When the user taps the subject they want to study, related educational content is displayed on the interface. For example, if the user selects "mathematics," the system will present specific educational content such as "calculus" and "algebra."

[0276] The interface for users to input questions includes a text input field or a voice input system. The device captures this input and sends it to the central processing unit as an HTTP request. The server uses natural language processing technology (e.g., Google® Cloud NLP or spaCy) to analyze the received question. For example, if a user types "I don't understand basic application problems in calculus," the server identifies keywords such as "calculus" and "application problems."

[0277] Based on the analyzed keywords, the server queries a database. This database stores learning content using, for example, MySQL (registered trademark) or MongoDB. The server finds relevant lecture content and blackboard notes and generates answers based on them. Generative AI models (e.g., GPT-3 (registered trademark)) can also be used to generate detailed explanations and solutions to users' questions. The generated answers are formatted in text, audio, or video format. For audio format, speech synthesis technology such as Amazon Polly or Google Text-to-Speech is used.

[0278] Furthermore, the emotion engine recognizes the user's emotional state in real time. For example, it analyzes the user's facial expressions and tone of voice to determine whether the user is confused, stressed, or confident. The results obtained by the emotion engine are sent to the central processing unit and taken into consideration when generating answers. For example, if the server determines that the user is stressed, it will generate an additional encouraging message such as, "You're doing well, you're almost there."

[0279] The generated answer is sent from the server to the device, which then displays and plays it in the format most suitable for the user. In the case of audio playback, the built-in audio player is launched and the generated audio is played.

[0280] Specific examples

[0281] The user launches the application, selects "English," and enters, "I don't know how to use relative pronouns." The device sends this question to the server, which extracts keywords such as "relative pronouns" and "usage" and searches a database. Based on related learning materials, the server generates an audio answer and sends it to the device. The device then launches an audio player and plays the audio answer to the user. At the same time, the emotion engine analyzes the user's facial expressions and voice, and if it determines that the user is feeling stressed, it plays an additional encouraging message: "You can do your best."

[0282] Prompt Sentence Examples

[0283] Please provide explanations of basic applied calculus problems, including concrete solutions and examples.

[0284] Generate a lecture on the use of relative pronouns. Include a brief explanation and example sentences.

[0285] Generate encouraging messages that are appropriate for users when they are feeling stressed.

[0286] This allows the system of the present invention to receive effective learning support from famous instructors without being tied to a specific location. Furthermore, the introduction of an emotion engine enables personalized support based on the user's emotions, improving learning efficiency.

[0287] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0288] Program processing flow

[0289] Step 1: Start the system and select a subject

[0290] Input: The user launches the app.

[0291] Output: The subject selection screen will be displayed.

[0292] Specific operation: The user taps the application to launch it. The device displays a subject selection screen, displaying an interface with icons for math, English, science, etc. The user taps the subject they want to study.

[0293] Step 2: Enter and submit your question

[0294] Input: The user enters the question.

[0295] Output: The question is sent to the server.

[0296] Specific behavior: The user types "I don't understand basic application problems in calculus" into the input field. When the device clicks the "Send" button, the input is captured and sent to the server as an HTTP request.

[0297] Step 3: Analyzing the Question

[0298] Input: The server receives the question submitted by the user.

[0299] Output: Keywords extracted from the question.

[0300] Specific operation: The server analyzes the received question using natural language processing technology (e.g., Google Cloud NLP or spaCy). The server extracts keywords such as "calculus" and "applied problems."

[0301] Step 4: Search the database

[0302] Input: Keywords extracted by the server.

[0303] Output: Related teaching materials and lecture content.

[0304] Specific operation: The server queries a database based on the extracted keywords. The database can be, for example, MySQL or MongoDB, and finds the most suitable learning content or lecture content.

[0305] Step 5: Generate an answer

[0306] Input: Learning content retrieved by the server from the database.

[0307] Output: Generated answers (in text, audio, and video formats).

[0308] Specific operation: The server generates an appropriate answer based on the data it finds. It uses a generative AI model (e.g., GPT-3) to generate detailed explanations and solutions. For audio format, it utilizes voice synthesis technology such as Amazon Polly or Google Text-to-Speech.

[0309] Step 6: Sentiment Analysis

[0310] Input: User's facial and voice data.

[0311] Output: Parsed emotional state.

[0312] How it works: The emotion engine analyzes data from the user's device's camera and microphone. It uses OpenCV and Face API for facial expression analysis and Google Speech-to-Text for voice analysis. As a result of the analysis, it determines whether the user is confused, stressed, or confident.

[0313] Step 7: Generate sentiment-based supplemental answers

[0314] Input: Parsed emotional state.

[0315] Output: Additional follow-up answers and encouraging messages.

[0316] Specific operation: The server receives the analysis results of the emotion engine and generates a supplementary response based on that information. For example, it generates an encouraging message such as, "You're doing well, you'll understand soon."

[0317] Step 8: Provide your answers

[0318] Input: Server-generated answer (text, audio, video).

[0319] Output: The answer that is presented to the user.

[0320] Specific operation: The server sends the generated answer to the user's device. The device receives the answer and provides it as text, audio, or video based on the user's selection. For example, if the audio format is selected, the device's built-in audio player will be launched and the generated audio will be played.

[0321] Through this series of processes, the system of the present invention enables students to receive effective learning support wherever they are, thereby improving learning efficiency. In addition, the introduction of an emotion engine makes it possible to provide personalized support according to the user's emotional state.

[0322] (Application example 2)

[0323] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0324] While conventional customer support systems in virtual stores can provide appropriate answers to customer questions, they are unable to respond individually to the customer's emotional state, limiting their ability to improve customer satisfaction. Furthermore, if a customer does not understand a question correctly or is feeling stressed, further assistance is not provided, reducing the effectiveness of the question-answering system.

[0325] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0326] In this invention, the server includes: means for providing a user interface for students to select the subject or course they wish to consult about; a server for searching for relevant educational content based on the user's selection and providing the educational content; means for providing an interface for users to input questions; means for transmitting the input question to the server and analyzing the question to generate an appropriate answer; means for providing the generated answer in text, audio, or video format; and emotion analysis means for analyzing the user's emotional state and modifying the answer based on the analysis results. This makes it possible to provide appropriate support in real time according to the customer's emotional state, which is expected to improve customer satisfaction.

[0327] A "user interface" is a screen or input means through which a user interacts with a system.

[0328] A "server" is a central processing unit that receives user selections and inputs and performs appropriate processing.

[0329] An "interface" is something that provides a means for a user to input a question.

[0330] "Question analysis means" refers to technical means for analyzing an input question and generating an appropriate answer.

[0331] "Answer providing means" refers to the technical means for providing the generated answer in text, audio, or video format.

[0332] "Emotion analysis means" is a technical means for analyzing the user's emotional state and correcting the answer based on the analysis results.

[0333] A "database" is a storage device that stores patterned educational content and makes it searchable.

[0334] "Speech synthesis means" refers to technical means that converts the generated textual response into speech form.

[0335] The present invention is an interactive system that analyzes customer sentiment in a virtual store and provides optimal support in real time. This system includes a series of technical means for efficiently interacting with customers.

[0336] User Interface

[0337] The user interface provides an interface for customers to input questions within the virtual store. Specifically, it includes a web application or a mobile app that customers can access using a smartphone or PC. In this interface, users can enter questions interactively or ask questions using voice input.

[0338] server

[0339] The server is a central processing unit that receives input from customers and generates appropriate answers based on that input. The server is equipped with a database that stores patterned educational content and product information. The server searches this database to find the appropriate answer.

[0340] Question analysis means

[0341] The question analysis means analyzes questions entered by customers using natural language processing technology. Specifically, it extracts keywords from the entered text or voice and searches for related information from a database based on those keywords. This is done using machine learning models and AI technology.

[0342] Means of providing answers

[0343] The answer providing means provides the answer generated by the question analysis means to the customer. The answer is provided in text format, audio format, or video format. In the audio format, the server converts the text into audio using speech synthesis technology, allowing the customer to receive an immediate answer to their question.

[0344] Emotion analysis means

[0345] Emotion analysis techniques are used to analyze a customer's emotional state. For example, image analysis techniques (such as "DeepFace") can be used to read the customer's facial expressions, and voice analysis techniques can be used to analyze the customer's tone of voice. This can determine whether the customer is confused, stressed, or relaxed. Based on this information, it is possible to provide appropriate encouraging messages or additional information when generating responses.

[0346] Examples of audio input and output

[0347] As a concrete example, let's consider the case where a customer uses a smartphone to ask, "What are the features of the latest smartphones?" This input speech is converted into text using speech recognition software (such as "SpeechRecognition"). Next, the server extracts keywords related to "latest smartphones" and "features" and generates an appropriate answer. This answer is converted into speech using speech synthesis technology (such as "gTTS") in the form of "The latest smartphones are very simple to operate, and their camera functions have been significantly upgraded. Don't worry, we'll answer any questions you have, so please don't hesitate to ask."

[0348] Prompt Sentence Examples

[0349] Here are some example prompts for when a customer asks, "What are the features of the latest smartphones?"

[0350] Text format

[0351] latest smartphone features

[0352] This system is expected to provide efficient and advanced support in virtual stores that responds to customers' emotional state, thereby improving customer satisfaction.

[0353] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0354] Step 1:

[0355] The user inputs a question through an interface within the virtual store.

[0356] Input: Voice or text input from your smartphone or PC.

[0357] Data processing / computation: Converting speech to text using speech recognition software (SpeechRecognition).

[0358] Output: The question in text format.

[0359] Step 2:

[0360] The server parses the received text question.

[0361] Input: The text question submitted by the user.

[0362] Data processing / calculation: Extract keywords from questions using natural language processing (NLP) techniques.

[0363] Output: Extracted keywords.

[0364] Step 3:

[0365] The server searches the database to find relevant educational content and product information.

[0366] Input: Extracted keywords.

[0367] Data processing / calculation: Perform database searches to retrieve relevant content.

[0368] Output: Related educational content and product information.

[0369] Step 4:

[0370] The server generates an appropriate response.

[0371] Input: Related educational content or product information.

[0372] Data processing / computation: Generate answer text using a generative AI model.

[0373] Output: The generated answer text.

[0374] Step 5:

[0375] An emotion analysis means analyzes the user's emotional state.

[0376] Input: User's facial image and voice tone.

[0377] Data processing / calculation: Emotions are determined using image analysis software (DeepFace) and voice analysis technology.

[0378] Output: The user's emotional state as a result of the analysis.

[0379] Step 6:

[0380] The server modifies the answer based on the sentiment analysis results.

[0381] Input: Generated answer text, user's emotional state.

[0382] Data manipulation / computation: Inserting encouraging messages or additional information into responses based on emotional state.

[0383] Output: The corrected answer text.

[0384] Step 7:

[0385] The server converts the final answer text into audio format.

[0386] Input: The revised answer text.

[0387] Data processing / computation: Convert text to speech using text-to-speech technology (gTTS).

[0388] Output: The final answer in audio format.

[0389] Step 8:

[0390] The final answer is provided to the user's terminal.

[0391] Input: Your final answer in audio format.

[0392] Data processing / calculation: Launch the device's audio player and play the audio.

[0393] Output: The user receives the answer in audio format.

[0394] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the 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.

[0395] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0396] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0397] [Second embodiment]

[0398] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0399] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0400] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0401] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0402] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0403] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0404] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0405] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0406] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[0407] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0408] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0409] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0410] This system allows students to receive guidance from renowned cram school instructors anytime, anywhere to solve questions and problems they encounter while studying. The system includes the following main components: a user interface, a server, a question analysis unit, an answer generation unit, and an answer provision unit.

[0411] User Interface

[0412] The user interface is the interaction part that makes it easy for students (users) to use the app. When a user launches the app, a screen for selecting a subject or course is displayed. For example, if the user selects "Mathematics," related educational content is displayed.

[0413] server

[0414] The server is a central processing unit that receives user selections and inputs and generates appropriate answers. The server has a database containing patterned educational content. By searching this database, the server finds appropriate answers to user questions.

[0415] Question analysis means

[0416] When a user inputs a question, the device sends the question to the server. The server then analyzes the received question using natural language processing technology and extracts keywords. For example, if the user inputs a question such as "I don't understand basic applied problems in differential and integral calculus," the server will extract keywords such as "differential and integral calculus" and "applied problems."

[0417] Answer generation means

[0418] Based on the keywords extracted by the question analysis means, the server searches a database to find the most appropriate lecture content or blackboard content. This data is then used to generate an appropriate answer. The generated answer can be formatted as text, audio, or video. For example, if the answer is in audio format, the server uses a speech synthesis means to convert the text into audio.

[0419] How to provide answers

[0420] The generated answer is sent from the server to the terminal. The terminal provides the received answer to the user. The response format is displayed in text, audio, or video format based on the user's selection. For example, if the user selects audio format, an audio player is launched and the generated audio is played.

[0421] Specific examples

[0422] For example, if a user selects "English" and enters "I don't know how to use relative pronouns," the device will send this question to the server. The server will extract keywords such as "relative pronouns" and "usage" and search the database. Based on the most appropriate lecture content and blackboard notes, the server will generate an audio response and send it to the device. The device will then launch an audio player, allowing the user to receive instruction.

[0423] As a result, the system of the present invention allows students to receive effective support from famous cram school instructors wherever they are, thereby improving their learning efficiency.

[0424] The processing flow will be explained below.

[0425] Step 1:

[0426] The user launches the app.

[0427] The app's home screen will appear, allowing users to select the subject or course they would like to consult about.

[0428] Step 2:

[0429] The user selects the subject or course they wish to consult about.

[0430] The device sends a request to the server based on the user's selection, reporting the selection, such as "math."

[0431] Step 3:

[0432] The server receives the request.

[0433] The server searches the database for educational content related to the selected subject and returns it to the terminal.

[0434] Step 4:

[0435] The terminal displays the received educational content to the user.

[0436] The user reviews the provided educational content and thinks of a question.

[0437] Step 5:

[0438] The user enters a question in text format.

[0439] For example, enter "I don't understand basic application problems in differential and integral calculus."

[0440] Step 6:

[0441] The terminal sends the entered question to the server.

[0442] The question is sent to the server as an HTTP request.

[0443] Step 7:

[0444] The server parses the received query.

[0445] Using natural language processing technology, keywords such as "calculus" and "applied problems" are extracted from the questions.

[0446] Step 8:

[0447] The server searches the database based on the extracted keywords.

[0448] Find relevant lecture content and board notes.

[0449] Step 9:

[0450] The server generates the best answer.

[0451] Based on the lecture content found, it generates and formats appropriate answers to questions.

[0452] Step 10:

[0453] The server generates a response and sends it to the terminal.

[0454] Answers can be provided in text, audio, or video format.

[0455] Step 11:

[0456] The terminal provides the received answer to the user.

[0457] If it is in text format, it is displayed on the screen, if it is in audio format, it is played on an audio player, and if it is in video format, it is played on a video player.

[0458] Step 12:

[0459] The user checks the answers and resolves their doubts.

[0460] The user sees, hears, or visually understands the answers provided.

[0461] This detailed processing step allows the system to quickly and effectively provide relevant answers to users' questions.

[0462] Example 1

[0463] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0464] It is difficult to provide prompt and appropriate answers to the questions and problems that students face during their studies. In particular, there are limited environments where students can receive guidance from instructors with specialized knowledge, which reduces learning efficiency at home or while traveling.

[0465] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0466] In this invention, the server includes a means for providing a user interface for students to select the subject or course they wish to consult about, a central processing unit for searching for relevant educational content based on the user's selection and providing that educational content, a means for providing an interface for users to input questions, a means for transmitting the input question to the central processing unit, analyzing the question, and generating an appropriate answer, and a means for providing the generated answer in text, audio, or video format. This enables students to receive prompt and appropriate guidance from renowned cram school instructors wherever they are.

[0467] A "student" is a person studying a particular subject or subject in order to receive an education.

[0468] "Consulting" is the act of seeking advice or answers regarding questions or issues that arise during learning.

[0469] A "subject" refers to a specific area of ​​knowledge as part of an educational curriculum.

[0470] A "subject" is a subject of study that is further subdivided into a specific subject.

[0471] The "user interface" is the part that provides the screen and operating means for the user to interact with the system.

[0472] A "central processing unit" is a computer device that analyzes information entered by a user and performs appropriate processing or response.

[0473] "Data storage device" refers to a recording medium or database system for storing educational content in a patterned format.

[0474] "Speech synthesis device" refers to equipment and software technology for converting text data into voice data.

[0475] "Educational content" refers to information about the knowledge and skills to be learned.

[0476] "Questions" are specific inquiries about doubts or issues that arise during learning.

[0477] An "answer" is a response or explanation provided to a question.

[0478] "Text format" refers to the format in which text is displayed.

[0479] "Audio format" refers to the format in which the audio is displayed.

[0480] "Video format" refers to the display format of the video.

[0481] The present invention is a system that allows students to receive guidance from instructors anytime, anywhere to solve questions or problems they encounter during their studies. The system includes the following major components: a user interface, a central processing unit, a question analysis unit, an answer generation unit, and an answer provision unit.

[0482] User Interface

[0483] The user interface is the interaction section that makes it easy for students (users) to use the app. When a user launches the app, a screen appears for selecting a subject or course. For example, if the user selects "Mathematics," related educational content is displayed.

[0484] central processing unit

[0485] The central processing unit is a computing device that receives user selections and inputs and generates appropriate answers. This device has a data store that stores patterned educational content. By searching this data store, the central processing unit finds appropriate answers to user questions.

[0486] question analysis device

[0487] When a user inputs a question, the terminal sends the question to the central processing unit, which analyzes the received question using natural language processing technology and extracts keywords. For example, if the question is "I don't understand basic applied problems in differential and integral calculus," the central processing unit extracts keywords such as "differential and integral calculus" and "applied problems."

[0488] answer generator

[0489] Based on the keywords extracted by the question analyzer, the central processing unit searches the data storage device to find the most appropriate lecture content or blackboard content. This data is then used to generate an appropriate answer. The generated answer may be formatted as text, audio, or video. For example, in the audio format, the central processing unit uses a speech synthesizer to convert the text into audio.

[0490] Answer providing device

[0491] The generated answer is sent from the central processing unit to the terminal. The terminal provides the received answer to the user. The response format is displayed in text, audio, or video format based on the user's selection. For example, if the user selects audio format, an audio player is launched and the generated audio is played.

[0492] Specific examples

[0493] For example, if a user selects "English" and enters "I don't know how to use relative pronouns," the terminal will send this question to the central processing unit. The central processing unit will extract keywords such as "relative pronouns" and "usage" and search the data storage device. Based on the most appropriate lecture content and blackboard notes, the central processing unit will generate an answer in audio format and send it to the terminal. The terminal will then launch an audio player, allowing the user to receive guidance.

[0494] Prompt Sentence Examples

[0495] The prompt for the generative AI model would be:

[0496] "Write a program for a system that analyzes questions entered by students and generates answers in spoken form based on appropriate educational content."

[0497] As a result, the system of the present invention allows students to receive effective support from instructors wherever they are, thereby improving learning efficiency.

[0498] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0499] Step 1:

[0500] App launch

[0501] The user launches the application on their device. The user's login information (user ID, password) is required as input. The output is a subject selection screen. Specifically, the device launches the application and displays the login screen. The user enters the login information and clicks the login button.

[0502] Step 2:

[0503] Subject Selection

[0504] When a user logs in, a subject selection screen is displayed. The input requires the user's subject selection (e.g., Mathematics, English). The output is a display of related educational content. Specifically, the terminal displays the subject selection screen and waits for the user to make a selection. The user selects a subject and clicks the Select button.

[0505] Step 3:

[0506] Enter a question

[0507] After the user selects a subject, a question input screen is displayed. The input requires the user's question (e.g., "I don't understand the basic application problem in differential and integral calculus"). The output is the question being sent from the terminal to the server. Specifically, the terminal displays the question input screen and waits for the user's input. The user enters the question and clicks the send button.

[0508] Step 4:

[0509] Submit a question

[0510] The device sends the user's question to the server. The input required is the content of the user's question. The output is the server's confirmation of receipt. Specifically, the device sends the question entered by the user to the server as text data.

[0511] Step 5:

[0512] question analysis

[0513] The server analyzes the received question and extracts keywords using natural language processing technology. The input required is the submitted question text. The output is the extracted keywords. Specifically, the server analyzes the question text and extracts important keywords. It uses a natural language processing library (e.g., spaCy or NLTK).

[0514] Step 6:

[0515] Answer generation

[0516] The server searches the database based on the extracted keywords to find the most suitable educational content. The extracted keywords are required as input. The output is the generated answer. Specifically, the server searches the database to find the most suitable answer. It uses an SQL query to search the database and find the most suitable lecture content. It then uses speech synthesis technology to convert the text into speech.

[0517] Step 7:

[0518] Provide answers

[0519] The server sends the generated answer to the terminal. The generated answer data is required as input. The output is the answer received by the terminal. Specifically, the server sends the generated answer to the terminal. The terminal provides the received answer to the user. The answer is displayed based on the format selected by the user. For example, if the answer is in audio format, an audio player is launched and the generated audio is played.

[0520] (Application example 1)

[0521] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0522] Conventional learning support systems are primarily limited to providing educational content for students and are not suitable for problem-solving or support in real-world work environments. Furthermore, they lack the means to obtain fast and accurate answers to the complex problems faced by on-site workers. This can lead to reduced work efficiency and increased errors. There is a particular need for a hands-free method of obtaining information, but current systems have difficulty meeting these requirements.

[0523] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0524] In this invention, the server includes: means for providing a user interface for students to select the subject or course they wish to consult about; a server for searching for relevant educational content based on the user's selection and providing the educational content; means for providing an interface for users to input questions; means for transmitting the input questions to the server, analyzing the questions, and generating appropriate answers; means for providing the generated answers in text, audio, or video format; and means for providing problem-solving support to workers wearing smart devices that allow users to input questions by voice and provide the generated answers in audio or video format. This allows on-site workers to quickly and accurately solve problems without using their hands, thereby improving work efficiency and quality.

[0525] A "user interface" is an element that provides an operation screen and input means for a user to interact with a system.

[0526] A "server" is a central processing unit that processes user selections and inputs and generates and provides appropriate responses.

[0527] The "interface for inputting questions" is an input means by which a user inputs questions or issues to the system.

[0528] The "means for analyzing a question and generating an appropriate answer" is a function that analyzes an input question, searches for and combines related information, and generates an optimal answer.

[0529] The "means for providing the generated answer in text, audio, or video format" is a function for presenting the generated answer to the user in an appropriate format.

[0530] A "smart device" is a device worn by a user and has the function of inputting and outputting audio and video.

[0531] "Worker" refers to a person who performs a specific task or work, and is a user who uses the system.

[0532] "Means to support problem solving" is a function that provides appropriate information and instructions to help workers solve the questions and problems they face.

[0533] This invention is a system that supports problem-solving in the workplace, and aims to provide instant, expert answers via smart devices. This system applies a conventional system for solving questions and problems that students face during their studies, and provides a means for workers to solve problems they face in the workplace.

[0534] To implement the present invention, the following hardware and software are required:

[0535] 1. Smart devices (e.g., smart glasses)

[0536] 2. Server

[0537] 3. Database

[0538] 4. Natural Language Processing Libraries (NLP Models)

[0539] 5. Speech recognition library (e.g., speech_recognition)

[0540] 6. Speech synthesis library (e.g., pyttsx3)

[0541] Generating a Program

[0542] The system of the present invention performs the following process: First, the worker uses a microphone attached to the smart device to input a question by voice. This voice is converted into text using a speech recognition library (speech_recognition). Then, the question is analyzed using natural language processing (NLP model) to extract keywords. Based on these keywords, the server searches a database and generates the optimal answer. The generated answer is converted into voice format using a speech synthesis library (pyttsx3) and is provided to the worker again via the smart device.

[0543] Specific hardware and software names used

[0544] The hardware used includes smart glasses as a smart device and a server as a central processing unit. The software used is the speech_recognition library for speech recognition, an NLP model for natural language processing, and the pyttsx3 library for speech synthesis.

[0545] Specific examples

[0546] For example, if a mechanic asks, "How do I troubleshoot a hydraulic system?", the smart glasses collect this speech and convert it into text using a speech recognition library. Then, they use an NLP model to extract keywords such as "hydraulic system" and "troubleshooting." The server then searches the database based on these keywords and generates the most appropriate answer. The generated answer is then converted into audio format using a speech synthesis library and provided to the mechanic through the smart glasses.

[0547] Example prompt sentence:

[0548] User: "How do I troubleshoot a hydraulic system?"

[0549] Systems: "When troubleshooting a hydraulic system, first verify that the hydraulic pump is working. Then check the piping for damage or leaks and check the pressure gauges. Need more detailed instructions?"

[0550] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0551] Step 1:

[0552] The user (worker) wears a smart device (smart glasses) and inputs a question by voice. Specifically, the user uses the voice input function to speak a question such as, "Please tell me how to troubleshoot a hydraulic system." The input is voice data, which is processed in the next step.

[0553] Step 2:

[0554] The smart device converts the input voice data into text using a voice recognition library (e.g., speech_recognition). Specifically, the voice data is passed to a recognition engine and converted into text format. The output of this process is the text data "Please tell me how to troubleshoot a hydraulic system."

[0555] Step 3:

[0556] The smart device or server passes the text data to a natural language processing library (NLP model) to analyze the text. Specifically, the NLP model extracts keywords from the text. The input for this step is the text data, and the output is keywords such as "hydraulic system" and "troubleshooting."

[0557] Step 4:

[0558] The server searches the database based on the extracted keywords to obtain relevant information. Specifically, a database query is executed to select the most appropriate answer. The input of this step is keyword data, and the output is answer data.

[0559] Step 5:

[0560] The server passes the generated answer data to a speech synthesis library (e.g., pyttsx3) and converts it into speech format. Specifically, the text data is converted into speech data, and a speech file is generated. The input of this step is the answer data, and the output is speech data.

[0561] Step 6:

[0562] The smart device plays the generated audio data and provides it to the user. Specifically, the audio is played through the speaker of the smart glasses. The input of this step is audio data, and the output is audio information.

[0563] Through the above processing steps, users can input questions by voice and receive quick and accurate answers through their smart devices.

[0564] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0565] This invention is a system that allows students to receive guidance from renowned cram school instructors anytime, anywhere to solve questions and problems they encounter while studying. Furthermore, this invention incorporates an "emotion engine" that recognizes the user's emotions and provides appropriate support based on those emotions. This system includes the following components: a user interface, a server, a question analysis means, an answer generation means, an emotion engine, and an answer provision means.

[0566] User Interface

[0567] The user interface is the interaction part that makes it easy for users to use the app. When a user launches the app, a screen appears for selecting a subject or course of study. For example, if the user selects "Mathematics," related educational content is displayed.

[0568] server

[0569] The server is a central processing unit that receives user selections and inputs and generates appropriate answers. The server has a database containing patterned educational content. By searching this database, the server finds appropriate answers to user questions.

[0570] Question analysis means

[0571] When a user inputs a question, the device sends the question to the server. The server then analyzes the received question using natural language processing technology and extracts keywords. For example, if the user inputs a question such as "I don't understand basic applied problems in differential and integral calculus," the server will extract keywords such as "differential and integral calculus" and "applied problems."

[0572] Answer generation means

[0573] Based on the keywords extracted by the question analysis means, the server searches a database to find the most appropriate lecture content or blackboard content. This data is then used to generate an appropriate answer. The generated answer can be formatted as text, audio, or video. For example, if the answer is in audio format, the server uses a speech synthesis means to convert the text into audio.

[0574] Emotion Engine

[0575] The emotion engine is a technology that recognizes the user's emotional state in real time. For example, it analyzes the user's facial expressions and tone of voice to determine whether the user is confused, stressed, or confident. This information is sent to the server and taken into consideration when generating answers.

[0576] How to provide answers

[0577] The generated answer is sent from the server to the terminal. The terminal provides the received answer to the user. The response format is displayed in text, audio, or video format based on the user's selection. For example, if the user selects audio format, an audio player is launched and the generated audio is played.

[0578] Specific examples

[0579] For example, if a user selects "English" and enters "I don't know how to use relative pronouns," the device will send this question to the server. The server will extract keywords such as "relative pronouns" and "usage" and search the database. Based on the most appropriate lecture content and blackboard notes, the server will generate an audio response and send it to the device. The device will then launch an audio player, allowing the user to receive instruction.

[0580] Furthermore, if the emotion engine determines that the user is feeling stressed based on their facial expression, the server generates an additional encouraging message, such as "You're doing well, you'll understand soon," to motivate the user.

[0581] This allows the system of the present invention to provide effective support from renowned cram school instructors wherever students are, improving learning efficiency. Furthermore, the introduction of an emotion engine makes it possible to provide individual support according to the user's emotional state, bringing even greater benefits.

[0582] The processing flow will be explained below.

[0583] Step 1:

[0584] The user launches the app.

[0585] The app's home screen will appear, allowing users to select the subject or course they would like to consult about.

[0586] Step 2:

[0587] The user selects the subject or course they wish to consult about.

[0588] For example, selecting "Mathematics" causes the terminal to send the user's selection as a request to the server.

[0589] Step 3:

[0590] The server receives the request.

[0591] The server searches the database for educational content related to "mathematics" and returns it to the terminal.

[0592] Step 4:

[0593] The terminal displays the received educational content to the user.

[0594] For example, specific topics such as calculus and linear algebra are displayed.

[0595] Step 5:

[0596] The user enters a question in text format.

[0597] For example, enter "I don't understand basic application problems in differential and integral calculus."

[0598] Step 6:

[0599] The terminal sends the entered question to the server.

[0600] The question is sent to the server as an HTTP request.

[0601] Step 7:

[0602] The server parses the received query.

[0603] Using natural language processing technology, keywords such as "calculus" and "applied problems" are extracted from the questions.

[0604] Step 8:

[0605] The server searches the database based on the extracted keywords.

[0606] Find relevant lecture content and board notes.

[0607] Step 9:

[0608] The server generates the best answer.

[0609] Based on the discovered lecture content, it generates and formats appropriate answers to questions, including specific problem-solving steps.

[0610] Step 10:

[0611] The server generates a response and sends it to the terminal.

[0612] Answers can be provided in text, audio, or video format.

[0613] Step 11:

[0614] The terminal provides the received answer to the user.

[0615] If it is in text format, it will be displayed on the screen, if it is in audio format, it will be played in an audio player, and if it is in video format, it will be played in a video player.

[0616] Step 12:

[0617] The user checks the answer.

[0618] For example, you can read step-by-step explanations in text format, listen to the instructor's explanations in audio format, and visually learn the specific solution steps in video format.

[0619] Step 13:

[0620] In order for the device to recognize the user's emotional state, it uses the device's camera and microphone to send data to the emotion engine.

[0621] The emotion engine analyzes the user's facial expressions and vocal tone to determine their emotional state.

[0622] Step 14:

[0623] The server analyzes the emotion data received from the emotion engine.

[0624] For example, if it is determined that the user is experiencing stress, the server can use that information to provide additional support.

[0625] Step 15:

[0626] The server generates additional answers or encouraging messages based on the emotion data.

[0627] For example, it generates a message such as, "I will teach you carefully until you understand, so please try your best without rushing."

[0628] Step 16:

[0629] Sends any additional responses or messages generated by the server to the terminal.

[0630] It may be provided in text, audio, or video format.

[0631] Step 17:

[0632] The terminal provides the user with any additional responses or messages it receives.

[0633] The user receives additional guidance and encouraging messages to continue learning.

[0634] This detailed processing step allows the system to quickly and effectively provide relevant answers to users' questions, as well as provide personalized support depending on their emotional state.

[0635] Example 2

[0636] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0637] Today's students need support to quickly and accurately resolve questions and issues that arise during their studies. However, physical distance and time constraints make it difficult to receive direct instruction from renowned instructors. Furthermore, the lack of flexible support tailored to students' emotional state can lead to reduced learning efficiency.

[0638] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0639] In this invention, the server includes a means for providing a user interface for students to select the subject or lesson they want to consult about, a central processing unit for searching for related learning content based on the user's selection and providing that learning content, and a means for providing an interface for users to input questions. This allows students to receive instruction from famous cram school instructors wherever they are. Furthermore, incorporating an emotion engine enables personalized support based on the user's emotional state, improving learning efficiency.

[0640] "Means for providing a user interface for students to select the subjects or courses they wish to consult about" refers to the screen or interaction area that allows students to select the courses or courses they wish to study when the application is launched.

[0641] "A central processing unit for searching for relevant learning content based on the user's selection and providing the learning content" refers to a computer system that searches information in a database, finds the most appropriate answer or learning content to the user's question, and provides it.

[0642] "Means for providing an interface for users to input questions" refers to a text input field or voice input system that allows users to input doubts or questions that arise during their studies.

[0643] "Means for sending the input question to a central processing unit, analyzing the question, and generating an appropriate answer" refers to the process of analyzing the question sent by the user using natural language processing technology and generating appropriate learning content and answers based on the results.

[0644] "Means for providing the generated answer in text, audio, or visual form" refers to an interface, including a text display, audio playback, or visual display, for providing the answer generated by the central processing unit to the user.

[0645] "Means including an emotion engine for recognizing the user's emotional state and providing additional support based on that emotion" refers to a system that has the function of determining the user's emotion from facial expressions, tone of voice, etc., and providing appropriate additional encouragement or support based on the results.

[0646] A "database for storing patterns of learning content" refers to a data storage system that organizes and stores each learning content in a specific format or pattern.

[0647] "Speech synthesis means for providing the generated answer in audio form" refers to a technology for converting a text-format answer into audio and providing the answer to the user in audio form.

[0648] This system allows students to receive guidance from renowned instructors wherever they are to solve questions and problems they encounter during their studies. It also incorporates an "emotion engine" that recognizes the user's emotions and provides appropriate support based on those emotions. This system includes the following components: a user interface, a central processing unit (server), a question analysis unit, an answer generation unit, the emotion engine, and an answer provision unit.

[0649] First, the user launches the application on their smartphone or PC and selects a subject. The subject selection screen is a user interface that displays academic fields such as mathematics, English, and science. When the user taps the subject they want to study, related educational content is displayed on the interface. For example, if the user selects "mathematics," the system will present specific educational content such as "calculus" and "algebra."

[0650] The interface for users to enter questions includes a text input field or a voice input system. The device captures this input and sends it to the central processing unit as an HTTP request. Using natural language processing techniques (e.g., Google Cloud NLP or spaCy), the server analyzes the received question. For example, if a user enters "I don't understand basic application problems in calculus," the server identifies keywords such as "calculus" and "application problems."

[0651] Based on the analyzed keywords, the server queries a database. This database may store learning content using MySQL or MongoDB, for example. The server finds relevant lecture content and blackboard notes and generates an answer based on them. Generative AI models (e.g., GPT-3) can also be used to generate detailed explanations and solutions to the user's questions. The generated answer can be formatted in text, audio, or video. For audio, speech synthesis technologies such as Amazon Polly or Google Text-to-Speech are used.

[0652] Furthermore, the emotion engine recognizes the user's emotional state in real time. For example, it analyzes the user's facial expressions and tone of voice to determine whether the user is confused, stressed, or confident. The results obtained by the emotion engine are sent to the central processing unit and taken into consideration when generating answers. For example, if the server determines that the user is stressed, it will generate an additional encouraging message such as, "You're doing well, you're almost there."

[0653] The generated answer is sent from the server to the device, which then displays and plays it in the format most suitable for the user. In the case of audio playback, the built-in audio player is launched and the generated audio is played.

[0654] Specific examples

[0655] The user launches the application, selects "English," and enters, "I don't know how to use relative pronouns." The device sends this question to the server, which extracts keywords such as "relative pronouns" and "usage" and searches a database. Based on related learning materials, the server generates an audio answer and sends it to the device. The device then launches an audio player and plays the audio answer to the user. At the same time, the emotion engine analyzes the user's facial expressions and voice, and if it determines that the user is feeling stressed, it plays an additional encouraging message: "You can do your best."

[0656] Prompt Sentence Examples

[0657] Please provide explanations of basic applied calculus problems, including concrete solutions and examples.

[0658] Generate a lecture on the use of relative pronouns. Include a brief explanation and example sentences.

[0659] Generate encouraging messages that are appropriate for users when they are feeling stressed.

[0660] This allows the system of the present invention to receive effective learning support from famous instructors without being tied to a specific location. Furthermore, the introduction of an emotion engine enables personalized support based on the user's emotions, improving learning efficiency.

[0661] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0662] Program processing flow

[0663] Step 1: Start the system and select a subject

[0664] Input: The user launches the app.

[0665] Output: The subject selection screen will be displayed.

[0666] Specific operation: The user taps the application to launch it. The device displays a subject selection screen, displaying an interface with icons for math, English, science, etc. The user taps the subject they want to study.

[0667] Step 2: Enter and submit your question

[0668] Input: The user enters the question.

[0669] Output: The question is sent to the server.

[0670] Specific behavior: The user types "I don't understand basic application problems in calculus" into the input field. When the device clicks the "Send" button, the input is captured and sent to the server as an HTTP request.

[0671] Step 3: Analyzing the Question

[0672] Input: The server receives the question submitted by the user.

[0673] Output: Keywords extracted from the question.

[0674] Specific operation: The server analyzes the received question using natural language processing technology (e.g., Google Cloud NLP or spaCy). The server extracts keywords such as "calculus" and "applied problems."

[0675] Step 4: Search the database

[0676] Input: Keywords extracted by the server.

[0677] Output: Related teaching materials and lecture content.

[0678] Specific operation: The server queries a database based on the extracted keywords. The database can be, for example, MySQL or MongoDB, and finds the most suitable learning content or lecture content.

[0679] Step 5: Generate an answer

[0680] Input: Learning content retrieved by the server from the database.

[0681] Output: Generated answers (in text, audio, and video formats).

[0682] Specific operation: The server generates an appropriate answer based on the data it finds. It uses a generative AI model (e.g., GPT-3) to generate detailed explanations and solutions. For audio format, it utilizes voice synthesis technology such as Amazon Polly or Google Text-to-Speech.

[0683] Step 6: Sentiment Analysis

[0684] Input: User's facial and voice data.

[0685] Output: Parsed emotional state.

[0686] How it works: The emotion engine analyzes data from the user's device's camera and microphone. It uses OpenCV and Face API for facial expression analysis and Google Speech-to-Text for voice analysis. As a result of the analysis, it determines whether the user is confused, stressed, or confident.

[0687] Step 7: Generate sentiment-based supplemental answers

[0688] Input: Parsed emotional state.

[0689] Output: Additional follow-up answers and encouraging messages.

[0690] Specific operation: The server receives the analysis results of the emotion engine and generates a supplementary response based on that information. For example, it generates an encouraging message such as, "You're doing well, you'll understand soon."

[0691] Step 8: Provide your answers

[0692] Input: Server-generated answer (text, audio, video).

[0693] Output: The answer that is presented to the user.

[0694] Specific operation: The server sends the generated answer to the user's device. The device receives the answer and provides it as text, audio, or video based on the user's selection. For example, if the audio format is selected, the device's built-in audio player will be launched and the generated audio will be played.

[0695] Through this series of processes, the system of the present invention enables students to receive effective learning support wherever they are, thereby improving learning efficiency. In addition, the introduction of an emotion engine makes it possible to provide personalized support according to the user's emotional state.

[0696] (Application example 2)

[0697] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0698] While conventional customer support systems in virtual stores can provide appropriate answers to customer questions, they are unable to respond individually to the customer's emotional state, limiting their ability to improve customer satisfaction. Furthermore, if a customer does not understand a question correctly or is feeling stressed, further assistance is not provided, reducing the effectiveness of the question-answering system.

[0699] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0700] In this invention, the server includes: means for providing a user interface for students to select the subject or course they wish to consult about; a server for searching for relevant educational content based on the user's selection and providing the educational content; means for providing an interface for users to input questions; means for transmitting the input question to the server and analyzing the question to generate an appropriate answer; means for providing the generated answer in text, audio, or video format; and emotion analysis means for analyzing the user's emotional state and modifying the answer based on the analysis results. This makes it possible to provide appropriate support in real time according to the customer's emotional state, which is expected to improve customer satisfaction.

[0701] A "user interface" is a screen or input means through which a user interacts with a system.

[0702] A "server" is a central processing unit that receives user selections and inputs and performs appropriate processing.

[0703] An "interface" is something that provides a means for a user to input a question.

[0704] "Question analysis means" refers to technical means for analyzing an input question and generating an appropriate answer.

[0705] "Answer providing means" refers to the technical means for providing the generated answer in text, audio, or video format.

[0706] "Emotion analysis means" is a technical means for analyzing the user's emotional state and correcting the answer based on the analysis results.

[0707] A "database" is a storage device that stores patterned educational content and makes it searchable.

[0708] "Speech synthesis means" refers to technical means that converts the generated textual response into speech form.

[0709] The present invention is an interactive system that analyzes customer sentiment in a virtual store and provides optimal support in real time. This system includes a series of technical means for efficiently interacting with customers.

[0710] User Interface

[0711] The user interface provides an interface for customers to input questions within the virtual store. Specifically, it includes a web application or a mobile app that customers can access using a smartphone or PC. In this interface, users can enter questions interactively or ask questions using voice input.

[0712] server

[0713] The server is a central processing unit that receives input from customers and generates appropriate answers based on that input. The server is equipped with a database that stores patterned educational content and product information. The server searches this database to find the appropriate answer.

[0714] Question analysis means

[0715] The question analysis means analyzes questions entered by customers using natural language processing technology. Specifically, it extracts keywords from the entered text or voice and searches for related information from a database based on those keywords. This is done using machine learning models and AI technology.

[0716] Means of providing answers

[0717] The answer providing means provides the answer generated by the question analysis means to the customer. The answer is provided in text format, audio format, or video format. In the audio format, the server converts the text into audio using speech synthesis technology, allowing the customer to receive an immediate answer to their question.

[0718] Emotion analysis means

[0719] Emotion analysis techniques are used to analyze a customer's emotional state. For example, image analysis techniques (such as "DeepFace") can be used to read the customer's facial expressions, and voice analysis techniques can be used to analyze the customer's tone of voice. This can determine whether the customer is confused, stressed, or relaxed. Based on this information, it is possible to provide appropriate encouraging messages or additional information when generating responses.

[0720] Examples of audio input and output

[0721] As a concrete example, let's consider the case where a customer uses a smartphone to ask, "What are the features of the latest smartphones?" This input speech is converted into text using speech recognition software (such as "SpeechRecognition"). Next, the server extracts keywords related to "latest smartphones" and "features" and generates an appropriate answer. This answer is converted into speech using speech synthesis technology (such as "gTTS") in the form of "The latest smartphones are very simple to operate, and their camera functions have been significantly upgraded. Don't worry, we'll answer any questions you have, so please don't hesitate to ask."

[0722] Prompt Sentence Examples

[0723] Here are some example prompts for when a customer asks, "What are the features of the latest smartphones?"

[0724] Text format

[0725] latest smartphone features

[0726] This system is expected to provide efficient and advanced support in virtual stores that responds to customers' emotional state, thereby improving customer satisfaction.

[0727] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0728] Step 1:

[0729] The user inputs a question through an interface within the virtual store.

[0730] Input: Voice or text input from your smartphone or PC.

[0731] Data processing / computation: Converting speech to text using speech recognition software (SpeechRecognition).

[0732] Output: The question in text format.

[0733] Step 2:

[0734] The server parses the received text question.

[0735] Input: The text question submitted by the user.

[0736] Data processing / calculation: Extract keywords from questions using natural language processing (NLP) techniques.

[0737] Output: Extracted keywords.

[0738] Step 3:

[0739] The server searches the database to find relevant educational content and product information.

[0740] Input: Extracted keywords.

[0741] Data processing / calculation: Perform database searches to retrieve relevant content.

[0742] Output: Related educational content and product information.

[0743] Step 4:

[0744] The server generates an appropriate response.

[0745] Input: Related educational content or product information.

[0746] Data processing / computation: Generate answer text using a generative AI model.

[0747] Output: The generated answer text.

[0748] Step 5:

[0749] An emotion analysis means analyzes the user's emotional state.

[0750] Input: User's facial image and voice tone.

[0751] Data processing / calculation: Emotions are determined using image analysis software (DeepFace) and voice analysis technology.

[0752] Output: The user's emotional state as a result of the analysis.

[0753] Step 6:

[0754] The server modifies the answer based on the sentiment analysis results.

[0755] Input: Generated answer text, user's emotional state.

[0756] Data manipulation / computation: Inserting encouraging messages or additional information into responses based on emotional state.

[0757] Output: The corrected answer text.

[0758] Step 7:

[0759] The server converts the final answer text into audio format.

[0760] Input: The revised answer text.

[0761] Data processing / computation: Convert text to speech using text-to-speech technology (gTTS).

[0762] Output: The final answer in audio format.

[0763] Step 8:

[0764] The final answer is provided to the user's terminal.

[0765] Input: Your final answer in audio format.

[0766] Data processing / calculation: Launch the device's audio player and play the audio.

[0767] Output: The user receives the answer in audio format.

[0768] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0769] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0770] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0771] [Third embodiment]

[0772] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0773] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0774] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0775] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0776] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0777] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0778] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0779] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0780] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[0781] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0782] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0783] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0784] This system allows students to receive guidance from renowned cram school instructors anytime, anywhere to solve questions and problems they encounter while studying. The system includes the following main components: a user interface, a server, a question analysis unit, an answer generation unit, and an answer provision unit.

[0785] User Interface

[0786] The user interface is the interaction part that makes it easy for students (users) to use the app. When a user launches the app, a screen for selecting a subject or course is displayed. For example, if the user selects "Mathematics," related educational content is displayed.

[0787] server

[0788] The server is a central processing unit that receives user selections and inputs and generates appropriate answers. The server has a database containing patterned educational content. By searching this database, the server finds appropriate answers to user questions.

[0789] Question analysis means

[0790] When a user inputs a question, the device sends the question to the server. The server then analyzes the received question using natural language processing technology and extracts keywords. For example, if the user inputs a question such as "I don't understand basic applied problems in differential and integral calculus," the server will extract keywords such as "differential and integral calculus" and "applied problems."

[0791] Answer generation means

[0792] Based on the keywords extracted by the question analysis means, the server searches a database to find the most appropriate lecture content or blackboard content. This data is then used to generate an appropriate answer. The generated answer can be formatted as text, audio, or video. For example, if the answer is in audio format, the server uses a speech synthesis means to convert the text into audio.

[0793] How to provide answers

[0794] The generated answer is sent from the server to the terminal. The terminal provides the received answer to the user. The response format is displayed in text, audio, or video format based on the user's selection. For example, if the user selects audio format, an audio player is launched and the generated audio is played.

[0795] Specific examples

[0796] For example, if a user selects "English" and enters "I don't know how to use relative pronouns," the device will send this question to the server. The server will extract keywords such as "relative pronouns" and "usage" and search the database. Based on the most appropriate lecture content and blackboard notes, the server will generate an audio response and send it to the device. The device will then launch an audio player, allowing the user to receive instruction.

[0797] As a result, the system of the present invention allows students to receive effective support from famous cram school instructors wherever they are, thereby improving their learning efficiency.

[0798] The processing flow will be explained below.

[0799] Step 1:

[0800] The user launches the app.

[0801] The app's home screen will appear, allowing users to select the subject or course they would like to consult about.

[0802] Step 2:

[0803] The user selects the subject or course they wish to consult about.

[0804] The device sends a request to the server based on the user's selection, reporting the selection, such as "math."

[0805] Step 3:

[0806] The server receives the request.

[0807] The server searches the database for educational content related to the selected subject and returns it to the terminal.

[0808] Step 4:

[0809] The terminal displays the received educational content to the user.

[0810] The user reviews the provided educational content and thinks of a question.

[0811] Step 5:

[0812] The user enters a question in text format.

[0813] For example, enter "I don't understand basic application problems in differential and integral calculus."

[0814] Step 6:

[0815] The terminal sends the entered question to the server.

[0816] The question is sent to the server as an HTTP request.

[0817] Step 7:

[0818] The server parses the received query.

[0819] Using natural language processing technology, keywords such as "calculus" and "applied problems" are extracted from the questions.

[0820] Step 8:

[0821] The server searches the database based on the extracted keywords.

[0822] Find relevant lecture content and board notes.

[0823] Step 9:

[0824] The server generates the best answer.

[0825] Based on the lecture content found, it generates and formats appropriate answers to questions.

[0826] Step 10:

[0827] The server generates a response and sends it to the terminal.

[0828] Answers can be provided in text, audio, or video format.

[0829] Step 11:

[0830] The terminal provides the received answer to the user.

[0831] If it is in text format, it is displayed on the screen, if it is in audio format, it is played on an audio player, and if it is in video format, it is played on a video player.

[0832] Step 12:

[0833] The user checks the answers and resolves their doubts.

[0834] The user sees, hears, or visually understands the answers provided.

[0835] This detailed processing step allows the system to quickly and effectively provide relevant answers to users' questions.

[0836] Example 1

[0837] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0838] It is difficult to provide prompt and appropriate answers to the questions and problems that students face during their studies. In particular, there are limited environments where students can receive guidance from instructors with specialized knowledge, which reduces learning efficiency at home or while traveling.

[0839] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0840] In this invention, the server includes a means for providing a user interface for students to select the subject or course they wish to consult about, a central processing unit for searching for relevant educational content based on the user's selection and providing that educational content, a means for providing an interface for users to input questions, a means for transmitting the input question to the central processing unit, analyzing the question, and generating an appropriate answer, and a means for providing the generated answer in text, audio, or video format. This enables students to receive prompt and appropriate guidance from renowned cram school instructors wherever they are.

[0841] A "student" is a person studying a particular subject or subject in order to receive an education.

[0842] "Consulting" is the act of seeking advice or answers regarding questions or issues that arise during learning.

[0843] A "subject" refers to a specific area of ​​knowledge as part of an educational curriculum.

[0844] A "subject" is a subject of study that is further subdivided into a specific subject.

[0845] The "user interface" is the part that provides the screen and operating means for the user to interact with the system.

[0846] A "central processing unit" is a computer device that analyzes information entered by a user and performs appropriate processing or response.

[0847] "Data storage device" refers to a recording medium or database system for storing educational content in a patterned format.

[0848] "Speech synthesis device" refers to equipment and software technology for converting text data into voice data.

[0849] "Educational content" refers to information about the knowledge and skills to be learned.

[0850] "Questions" are specific inquiries about doubts or issues that arise during learning.

[0851] An "answer" is a response or explanation provided to a question.

[0852] "Text format" refers to the format in which text is displayed.

[0853] "Audio format" refers to the format in which the audio is displayed.

[0854] "Video format" refers to the display format of the video.

[0855] The present invention is a system that allows students to receive guidance from instructors anytime, anywhere to solve questions or problems they encounter during their studies. The system includes the following major components: a user interface, a central processing unit, a question analysis unit, an answer generation unit, and an answer provision unit.

[0856] User Interface

[0857] The user interface is the interaction section that makes it easy for students (users) to use the app. When a user launches the app, a screen appears for selecting a subject or course. For example, if the user selects "Mathematics," related educational content is displayed.

[0858] central processing unit

[0859] The central processing unit is a computing device that receives user selections and inputs and generates appropriate answers. This device has a data store that stores patterned educational content. By searching this data store, the central processing unit finds appropriate answers to user questions.

[0860] question analysis device

[0861] When a user inputs a question, the terminal sends the question to the central processing unit, which analyzes the received question using natural language processing technology and extracts keywords. For example, if the question is "I don't understand basic applied problems in differential and integral calculus," the central processing unit extracts keywords such as "differential and integral calculus" and "applied problems."

[0862] answer generator

[0863] Based on the keywords extracted by the question analyzer, the central processing unit searches the data storage device to find the most appropriate lecture content or blackboard content. This data is then used to generate an appropriate answer. The generated answer may be formatted as text, audio, or video. For example, in the audio format, the central processing unit uses a speech synthesizer to convert the text into audio.

[0864] Answer providing device

[0865] The generated answer is sent from the central processing unit to the terminal. The terminal provides the received answer to the user. The response format is displayed in text, audio, or video format based on the user's selection. For example, if the user selects audio format, an audio player is launched and the generated audio is played.

[0866] Specific examples

[0867] For example, if a user selects "English" and enters "I don't know how to use relative pronouns," the terminal will send this question to the central processing unit. The central processing unit will extract keywords such as "relative pronouns" and "usage" and search the data storage device. Based on the most appropriate lecture content and blackboard notes, the central processing unit will generate an answer in audio format and send it to the terminal. The terminal will then launch an audio player, allowing the user to receive guidance.

[0868] Prompt Sentence Examples

[0869] The prompt for the generative AI model would be:

[0870] "Write a program for a system that analyzes questions entered by students and generates answers in spoken form based on appropriate educational content."

[0871] As a result, the system of the present invention allows students to receive effective support from instructors wherever they are, thereby improving learning efficiency.

[0872] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0873] Step 1:

[0874] App launch

[0875] The user launches the application on their device. The user's login information (user ID, password) is required as input. The output is a subject selection screen. Specifically, the device launches the application and displays the login screen. The user enters the login information and clicks the login button.

[0876] Step 2:

[0877] Subject Selection

[0878] When a user logs in, a subject selection screen is displayed. The input requires the user's subject selection (e.g., Mathematics, English). The output is a display of related educational content. Specifically, the terminal displays the subject selection screen and waits for the user to make a selection. The user selects a subject and clicks the Select button.

[0879] Step 3:

[0880] Enter a question

[0881] After the user selects a subject, a question input screen is displayed. The input requires the user's question (e.g., "I don't understand the basic application problem in differential and integral calculus"). The output is the question being sent from the terminal to the server. Specifically, the terminal displays the question input screen and waits for the user's input. The user enters the question and clicks the send button.

[0882] Step 4:

[0883] Submit a question

[0884] The device sends the user's question to the server. The input required is the content of the user's question. The output is the server's confirmation of receipt. Specifically, the device sends the question entered by the user to the server as text data.

[0885] Step 5:

[0886] question analysis

[0887] The server analyzes the received question and extracts keywords using natural language processing technology. The input required is the submitted question text. The output is the extracted keywords. Specifically, the server analyzes the question text and extracts important keywords. It uses a natural language processing library (e.g., spaCy or NLTK).

[0888] Step 6:

[0889] Answer generation

[0890] The server searches the database based on the extracted keywords to find the most suitable educational content. The extracted keywords are required as input. The output is the generated answer. Specifically, the server searches the database to find the most suitable answer. It uses an SQL query to search the database and find the most suitable lecture content. It then uses speech synthesis technology to convert the text into speech.

[0891] Step 7:

[0892] Provide answers

[0893] The server sends the generated answer to the terminal. The generated answer data is required as input. The output is the answer received by the terminal. Specifically, the server sends the generated answer to the terminal. The terminal provides the received answer to the user. The answer is displayed based on the format selected by the user. For example, if the answer is in audio format, an audio player is launched and the generated audio is played.

[0894] (Application example 1)

[0895] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0896] Conventional learning support systems are primarily limited to providing educational content for students and are not suitable for problem-solving or support in real-world work environments. Furthermore, they lack the means to obtain fast and accurate answers to the complex problems faced by on-site workers. This can lead to reduced work efficiency and increased errors. There is a particular need for a hands-free method of obtaining information, but current systems have difficulty meeting these requirements.

[0897] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0898] In this invention, the server includes: means for providing a user interface for students to select the subject or course they wish to consult about; a server for searching for relevant educational content based on the user's selection and providing the educational content; means for providing an interface for users to input questions; means for transmitting the input questions to the server, analyzing the questions, and generating appropriate answers; means for providing the generated answers in text, audio, or video format; and means for providing problem-solving support to workers wearing smart devices that allow users to input questions by voice and provide the generated answers in audio or video format. This allows on-site workers to quickly and accurately solve problems without using their hands, thereby improving work efficiency and quality.

[0899] A "user interface" is an element that provides an operation screen and input means for a user to interact with a system.

[0900] A "server" is a central processing unit that processes user selections and inputs and generates and provides appropriate responses.

[0901] The "interface for inputting questions" is an input means by which a user inputs questions or issues to the system.

[0902] The "means for analyzing a question and generating an appropriate answer" is a function that analyzes an input question, searches for and combines related information, and generates an optimal answer.

[0903] The "means for providing the generated answer in text, audio, or video format" is a function for presenting the generated answer to the user in an appropriate format.

[0904] A "smart device" is a device worn by a user and has the function of inputting and outputting audio and video.

[0905] "Worker" refers to a person who performs a specific task or work, and is a user who uses the system.

[0906] "Means to support problem solving" is a function that provides appropriate information and instructions to help workers solve the questions and problems they face.

[0907] This invention is a system that supports problem-solving in the workplace, and aims to provide instant, expert answers via smart devices. This system applies a conventional system for solving questions and problems that students face during their studies, and provides a means for workers to solve problems they face in the workplace.

[0908] To implement the present invention, the following hardware and software are required:

[0909] 1. Smart devices (e.g., smart glasses)

[0910] 2. Server

[0911] 3. Database

[0912] 4. Natural Language Processing Libraries (NLP Models)

[0913] 5. Speech recognition library (e.g., speech_recognition)

[0914] 6. Speech synthesis library (e.g., pyttsx3)

[0915] Generating a Program

[0916] The system of the present invention performs the following process: First, the worker uses a microphone attached to the smart device to input a question by voice. This voice is converted into text using a speech recognition library (speech_recognition). Then, the question is analyzed using natural language processing (NLP model) to extract keywords. Based on these keywords, the server searches a database and generates the optimal answer. The generated answer is converted into voice format using a speech synthesis library (pyttsx3) and is provided to the worker again via the smart device.

[0917] Specific hardware and software names used

[0918] The hardware used includes smart glasses as a smart device and a server as a central processing unit. The software used is the speech_recognition library for speech recognition, an NLP model for natural language processing, and the pyttsx3 library for speech synthesis.

[0919] Specific examples

[0920] For example, if a mechanic asks, "How do I troubleshoot a hydraulic system?", the smart glasses collect this speech and convert it into text using a speech recognition library. Then, they use an NLP model to extract keywords such as "hydraulic system" and "troubleshooting." The server then searches the database based on these keywords and generates the most appropriate answer. The generated answer is then converted into audio format using a speech synthesis library and provided to the mechanic through the smart glasses.

[0921] Example prompt sentence:

[0922] User: "How do I troubleshoot a hydraulic system?"

[0923] Systems: "When troubleshooting a hydraulic system, first verify that the hydraulic pump is working. Then check the piping for damage or leaks and check the pressure gauges. Need more detailed instructions?"

[0924] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0925] Step 1:

[0926] The user (worker) wears a smart device (smart glasses) and inputs a question by voice. Specifically, the user uses the voice input function to speak a question such as, "Please tell me how to troubleshoot a hydraulic system." The input is voice data, which is processed in the next step.

[0927] Step 2:

[0928] The smart device converts the input voice data into text using a voice recognition library (e.g., speech_recognition). Specifically, the voice data is passed to a recognition engine and converted into text format. The output of this process is the text data "Please tell me how to troubleshoot a hydraulic system."

[0929] Step 3:

[0930] The smart device or server passes the text data to a natural language processing library (NLP model) to analyze the text. Specifically, the NLP model extracts keywords from the text. The input for this step is the text data, and the output is keywords such as "hydraulic system" and "troubleshooting."

[0931] Step 4:

[0932] The server searches the database based on the extracted keywords to obtain relevant information. Specifically, a database query is executed to select the most appropriate answer. The input of this step is keyword data, and the output is answer data.

[0933] Step 5:

[0934] The server passes the generated answer data to a speech synthesis library (e.g., pyttsx3) and converts it into speech format. Specifically, the text data is converted into speech data, and a speech file is generated. The input of this step is the answer data, and the output is speech data.

[0935] Step 6:

[0936] The smart device plays the generated audio data and provides it to the user. Specifically, the audio is played through the speaker of the smart glasses. The input of this step is audio data, and the output is audio information.

[0937] Through the above processing steps, users can input questions by voice and receive quick and accurate answers through their smart devices.

[0938] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0939] This invention is a system that allows students to receive guidance from renowned cram school instructors anytime, anywhere to solve questions and problems they encounter while studying. Furthermore, this invention incorporates an "emotion engine" that recognizes the user's emotions and provides appropriate support based on those emotions. This system includes the following components: a user interface, a server, a question analysis means, an answer generation means, an emotion engine, and an answer provision means.

[0940] User Interface

[0941] The user interface is the interaction part that makes it easy for users to use the app. When a user launches the app, a screen appears for selecting a subject or course of study. For example, if the user selects "Mathematics," related educational content is displayed.

[0942] server

[0943] The server is a central processing unit that receives user selections and inputs and generates appropriate answers. The server has a database containing patterned educational content. By searching this database, the server finds appropriate answers to user questions.

[0944] Question analysis means

[0945] When a user inputs a question, the device sends the question to the server. The server then analyzes the received question using natural language processing technology and extracts keywords. For example, if the user inputs a question such as "I don't understand basic applied problems in differential and integral calculus," the server will extract keywords such as "differential and integral calculus" and "applied problems."

[0946] Answer generation means

[0947] Based on the keywords extracted by the question analysis means, the server searches a database to find the most appropriate lecture content or blackboard content. This data is then used to generate an appropriate answer. The generated answer can be formatted as text, audio, or video. For example, if the answer is in audio format, the server uses a speech synthesis means to convert the text into audio.

[0948] Emotion Engine

[0949] The emotion engine is a technology that recognizes the user's emotional state in real time. For example, it analyzes the user's facial expressions and tone of voice to determine whether the user is confused, stressed, or confident. This information is sent to the server and taken into consideration when generating answers.

[0950] How to provide answers

[0951] The generated answer is sent from the server to the terminal. The terminal provides the received answer to the user. The response format is displayed in text, audio, or video format based on the user's selection. For example, if the user selects audio format, an audio player is launched and the generated audio is played.

[0952] Specific examples

[0953] For example, if a user selects "English" and enters "I don't know how to use relative pronouns," the device will send this question to the server. The server will extract keywords such as "relative pronouns" and "usage" and search the database. Based on the most appropriate lecture content and blackboard notes, the server will generate an audio response and send it to the device. The device will then launch an audio player, allowing the user to receive instruction.

[0954] Furthermore, if the emotion engine determines that the user is feeling stressed based on their facial expression, the server generates an additional encouraging message, such as "You're doing well, you'll understand soon," to motivate the user.

[0955] This allows the system of the present invention to provide effective support from renowned cram school instructors wherever students are, improving learning efficiency. Furthermore, the introduction of an emotion engine makes it possible to provide individual support according to the user's emotional state, bringing even greater benefits.

[0956] The processing flow will be explained below.

[0957] Step 1:

[0958] The user launches the app.

[0959] The app's home screen will appear, allowing users to select the subject or course they would like to consult about.

[0960] Step 2:

[0961] The user selects the subject or course they wish to consult about.

[0962] For example, selecting "Mathematics" causes the terminal to send the user's selection as a request to the server.

[0963] Step 3:

[0964] The server receives the request.

[0965] The server searches the database for educational content related to "mathematics" and returns it to the terminal.

[0966] Step 4:

[0967] The terminal displays the received educational content to the user.

[0968] For example, specific topics such as calculus and linear algebra are displayed.

[0969] Step 5:

[0970] The user enters a question in text format.

[0971] For example, enter "I don't understand basic application problems in differential and integral calculus."

[0972] Step 6:

[0973] The terminal sends the entered question to the server.

[0974] The question is sent to the server as an HTTP request.

[0975] Step 7:

[0976] The server parses the received query.

[0977] Using natural language processing technology, keywords such as "calculus" and "applied problems" are extracted from the questions.

[0978] Step 8:

[0979] The server searches the database based on the extracted keywords.

[0980] Find relevant lecture content and board notes.

[0981] Step 9:

[0982] The server generates the best answer.

[0983] Based on the discovered lecture content, it generates and formats appropriate answers to questions, including specific problem-solving steps.

[0984] Step 10:

[0985] The server generates a response and sends it to the terminal.

[0986] Answers can be provided in text, audio, or video format.

[0987] Step 11:

[0988] The terminal provides the received answer to the user.

[0989] If it is in text format, it will be displayed on the screen, if it is in audio format, it will be played in an audio player, and if it is in video format, it will be played in a video player.

[0990] Step 12:

[0991] The user checks the answer.

[0992] For example, you can read step-by-step explanations in text format, listen to the instructor's explanations in audio format, and visually learn the specific solution steps in video format.

[0993] Step 13:

[0994] In order for the device to recognize the user's emotional state, it uses the device's camera and microphone to send data to the emotion engine.

[0995] The emotion engine analyzes the user's facial expressions and vocal tone to determine their emotional state.

[0996] Step 14:

[0997] The server analyzes the emotion data received from the emotion engine.

[0998] For example, if it is determined that the user is experiencing stress, the server can use that information to provide additional support.

[0999] Step 15:

[1000] The server generates additional answers or encouraging messages based on the emotion data.

[1001] For example, it generates a message such as, "I will teach you carefully until you understand, so please try your best without rushing."

[1002] Step 16:

[1003] Sends any additional responses or messages generated by the server to the terminal.

[1004] It may be provided in text, audio, or video format.

[1005] Step 17:

[1006] The terminal provides the user with any additional responses or messages it receives.

[1007] The user receives additional guidance and encouraging messages to continue learning.

[1008] This detailed processing step allows the system to quickly and effectively provide relevant answers to users' questions, as well as provide personalized support depending on their emotional state.

[1009] Example 2

[1010] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1011] Today's students need support to quickly and accurately resolve questions and issues that arise during their studies. However, physical distance and time constraints make it difficult to receive direct instruction from renowned instructors. Furthermore, the lack of flexible support tailored to students' emotional state can lead to reduced learning efficiency.

[1012] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1013] In this invention, the server includes a means for providing a user interface for students to select the subject or lesson they want to consult about, a central processing unit for searching for related learning content based on the user's selection and providing that learning content, and a means for providing an interface for users to input questions. This allows students to receive instruction from famous cram school instructors wherever they are. Furthermore, incorporating an emotion engine enables personalized support based on the user's emotional state, improving learning efficiency.

[1014] "Means for providing a user interface for students to select the subjects or courses they wish to consult about" refers to the screen or interaction area that allows students to select the courses or courses they wish to study when the application is launched.

[1015] "A central processing unit for searching for relevant learning content based on the user's selection and providing the learning content" refers to a computer system that searches information in a database, finds the most appropriate answer or learning content to the user's question, and provides it.

[1016] "Means for providing an interface for users to input questions" refers to a text input field or voice input system that allows users to input doubts or questions that arise during their studies.

[1017] "Means for sending the input question to a central processing unit, analyzing the question, and generating an appropriate answer" refers to the process of analyzing the question sent by the user using natural language processing technology and generating appropriate learning content and answers based on the results.

[1018] "Means for providing the generated answer in text, audio, or visual form" refers to an interface, including a text display, audio playback, or visual display, for providing the answer generated by the central processing unit to the user.

[1019] "Means including an emotion engine for recognizing the user's emotional state and providing additional support based on that emotion" refers to a system that has the function of determining the user's emotion from facial expressions, tone of voice, etc., and providing appropriate additional encouragement or support based on the results.

[1020] A "database for storing patterns of learning content" refers to a data storage system that organizes and stores each learning content in a specific format or pattern.

[1021] "Speech synthesis means for providing the generated answer in audio form" refers to a technology for converting a text-format answer into audio and providing the answer to the user in audio form.

[1022] This system allows students to receive guidance from renowned instructors wherever they are to solve questions and problems they encounter during their studies. It also incorporates an "emotion engine" that recognizes the user's emotions and provides appropriate support based on those emotions. This system includes the following components: a user interface, a central processing unit (server), a question analysis unit, an answer generation unit, the emotion engine, and an answer provision unit.

[1023] First, the user launches the application on their smartphone or PC and selects a subject. The subject selection screen is a user interface that displays academic fields such as mathematics, English, and science. When the user taps the subject they want to study, related educational content is displayed on the interface. For example, if the user selects "mathematics," the system will present specific educational content such as "calculus" and "algebra."

[1024] The interface for users to enter questions includes a text input field or a voice input system. The device captures this input and sends it to the central processing unit as an HTTP request. Using natural language processing techniques (e.g., Google Cloud NLP or spaCy), the server analyzes the received question. For example, if a user enters "I don't understand basic application problems in calculus," the server identifies keywords such as "calculus" and "application problems."

[1025] Based on the analyzed keywords, the server queries a database. This database may store learning content using MySQL or MongoDB, for example. The server finds relevant lecture content and blackboard notes and generates an answer based on them. Generative AI models (e.g., GPT-3) can also be used to generate detailed explanations and solutions to the user's questions. The generated answer can be formatted in text, audio, or video. For audio, speech synthesis technologies such as Amazon Polly or Google Text-to-Speech are used.

[1026] Furthermore, the emotion engine recognizes the user's emotional state in real time. For example, it analyzes the user's facial expressions and tone of voice to determine whether the user is confused, stressed, or confident. The results obtained by the emotion engine are sent to the central processing unit and taken into consideration when generating answers. For example, if the server determines that the user is stressed, it will generate an additional encouraging message such as, "You're doing well, you're almost there."

[1027] The generated answer is sent from the server to the device, which then displays and plays it in the format most suitable for the user. In the case of audio playback, the built-in audio player is launched and the generated audio is played.

[1028] Specific examples

[1029] The user launches the application, selects "English," and enters, "I don't know how to use relative pronouns." The device sends this question to the server, which extracts keywords such as "relative pronouns" and "usage" and searches a database. Based on related learning materials, the server generates an audio answer and sends it to the device. The device then launches an audio player and plays the audio answer to the user. At the same time, the emotion engine analyzes the user's facial expressions and voice, and if it determines that the user is feeling stressed, it plays an additional encouraging message: "You can do your best."

[1030] Prompt Sentence Examples

[1031] Please provide explanations of basic applied calculus problems, including concrete solutions and examples.

[1032] Generate a lecture on the use of relative pronouns. Include a brief explanation and example sentences.

[1033] Generate encouraging messages that are appropriate for users when they are feeling stressed.

[1034] This allows the system of the present invention to receive effective learning support from famous instructors without being tied to a specific location. Furthermore, the introduction of an emotion engine enables personalized support based on the user's emotions, improving learning efficiency.

[1035] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1036] Program processing flow

[1037] Step 1: Start the system and select a subject

[1038] Input: The user launches the app.

[1039] Output: The subject selection screen will be displayed.

[1040] Specific operation: The user taps the application to launch it. The device displays a subject selection screen, displaying an interface with icons for math, English, science, etc. The user taps the subject they want to study.

[1041] Step 2: Enter and submit your question

[1042] Input: The user enters the question.

[1043] Output: The question is sent to the server.

[1044] Specific behavior: The user types "I don't understand basic application problems in calculus" into the input field. When the device clicks the "Send" button, the input is captured and sent to the server as an HTTP request.

[1045] Step 3: Analyzing the Question

[1046] Input: The server receives the question submitted by the user.

[1047] Output: Keywords extracted from the question.

[1048] Specific operation: The server analyzes the received question using natural language processing technology (e.g., Google Cloud NLP or spaCy). The server extracts keywords such as "calculus" and "applied problems."

[1049] Step 4: Search the database

[1050] Input: Keywords extracted by the server.

[1051] Output: Related teaching materials and lecture content.

[1052] Specific operation: The server queries a database based on the extracted keywords. The database can be, for example, MySQL or MongoDB, and finds the most suitable learning content or lecture content.

[1053] Step 5: Generate an answer

[1054] Input: Learning content retrieved by the server from the database.

[1055] Output: Generated answers (in text, audio, and video formats).

[1056] Specific operation: The server generates an appropriate answer based on the data it finds. It uses a generative AI model (e.g., GPT-3) to generate detailed explanations and solutions. For audio format, it utilizes voice synthesis technology such as Amazon Polly or Google Text-to-Speech.

[1057] Step 6: Sentiment Analysis

[1058] Input: User's facial and voice data.

[1059] Output: Parsed emotional state.

[1060] How it works: The emotion engine analyzes data from the user's device's camera and microphone. It uses OpenCV and Face API for facial expression analysis and Google Speech-to-Text for voice analysis. As a result of the analysis, it determines whether the user is confused, stressed, or confident.

[1061] Step 7: Generate sentiment-based supplemental answers

[1062] Input: Parsed emotional state.

[1063] Output: Additional follow-up answers and encouraging messages.

[1064] Specific operation: The server receives the analysis results of the emotion engine and generates a supplementary response based on that information. For example, it generates an encouraging message such as, "You're doing well, you'll understand soon."

[1065] Step 8: Provide your answers

[1066] Input: Server-generated answer (text, audio, video).

[1067] Output: The answer that is presented to the user.

[1068] Specific operation: The server sends the generated answer to the user's device. The device receives the answer and provides it as text, audio, or video based on the user's selection. For example, if the audio format is selected, the device's built-in audio player will be launched and the generated audio will be played.

[1069] Through this series of processes, the system of the present invention enables students to receive effective learning support wherever they are, thereby improving learning efficiency. In addition, the introduction of an emotion engine makes it possible to provide personalized support according to the user's emotional state.

[1070] (Application example 2)

[1071] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1072] While conventional customer support systems in virtual stores can provide appropriate answers to customer questions, they are unable to respond individually to the customer's emotional state, limiting their ability to improve customer satisfaction. Furthermore, if a customer does not understand a question correctly or is feeling stressed, further assistance is not provided, reducing the effectiveness of the question-answering system.

[1073] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1074] In this invention, the server includes: means for providing a user interface for students to select the subject or course they wish to consult about; a server for searching for relevant educational content based on the user's selection and providing the educational content; means for providing an interface for users to input questions; means for transmitting the input question to the server and analyzing the question to generate an appropriate answer; means for providing the generated answer in text, audio, or video format; and emotion analysis means for analyzing the user's emotional state and modifying the answer based on the analysis results. This makes it possible to provide appropriate support in real time according to the customer's emotional state, which is expected to improve customer satisfaction.

[1075] A "user interface" is a screen or input means through which a user interacts with a system.

[1076] A "server" is a central processing unit that receives user selections and inputs and performs appropriate processing.

[1077] An "interface" is something that provides a means for a user to input a question.

[1078] "Question analysis means" refers to technical means for analyzing an input question and generating an appropriate answer.

[1079] "Answer providing means" refers to the technical means for providing the generated answer in text, audio, or video format.

[1080] "Emotion analysis means" is a technical means for analyzing the user's emotional state and correcting the answer based on the analysis results.

[1081] A "database" is a storage device that stores patterned educational content and makes it searchable.

[1082] "Speech synthesis means" refers to technical means that converts the generated textual response into speech form.

[1083] The present invention is an interactive system that analyzes customer sentiment in a virtual store and provides optimal support in real time. This system includes a series of technical means for efficiently interacting with customers.

[1084] User Interface

[1085] The user interface provides an interface for customers to input questions within the virtual store. Specifically, it includes a web application or a mobile app that customers can access using a smartphone or PC. In this interface, users can enter questions interactively or ask questions using voice input.

[1086] server

[1087] The server is a central processing unit that receives input from customers and generates appropriate answers based on that input. The server is equipped with a database that stores patterned educational content and product information. The server searches this database to find the appropriate answer.

[1088] Question analysis means

[1089] The question analysis means analyzes questions entered by customers using natural language processing technology. Specifically, it extracts keywords from the entered text or voice and searches for related information from a database based on those keywords. This is done using machine learning models and AI technology.

[1090] Means of providing answers

[1091] The answer providing means provides the answer generated by the question analysis means to the customer. The answer is provided in text format, audio format, or video format. In the audio format, the server converts the text into audio using speech synthesis technology, allowing the customer to receive an immediate answer to their question.

[1092] Emotion analysis means

[1093] Emotion analysis techniques are used to analyze a customer's emotional state. For example, image analysis techniques (such as "DeepFace") can be used to read the customer's facial expressions, and voice analysis techniques can be used to analyze the customer's tone of voice. This can determine whether the customer is confused, stressed, or relaxed. Based on this information, it is possible to provide appropriate encouraging messages or additional information when generating responses.

[1094] Examples of audio input and output

[1095] As a concrete example, let's consider the case where a customer uses a smartphone to ask, "What are the features of the latest smartphones?" This input speech is converted into text using speech recognition software (such as "SpeechRecognition"). Next, the server extracts keywords related to "latest smartphones" and "features" and generates an appropriate answer. This answer is converted into speech using speech synthesis technology (such as "gTTS") in the form of "The latest smartphones are very simple to operate, and their camera functions have been significantly upgraded. Don't worry, we'll answer any questions you have, so please don't hesitate to ask."

[1096] Prompt Sentence Examples

[1097] Here are some example prompts for when a customer asks, "What are the features of the latest smartphones?"

[1098] Text format

[1099] latest smartphone features

[1100] This system is expected to provide efficient and advanced support in virtual stores that responds to customers' emotional state, thereby improving customer satisfaction.

[1101] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1102] Step 1:

[1103] The user inputs a question through an interface within the virtual store.

[1104] Input: Voice or text input from your smartphone or PC.

[1105] Data processing / computation: Converting speech to text using speech recognition software (SpeechRecognition).

[1106] Output: The question in text format.

[1107] Step 2:

[1108] The server parses the received text question.

[1109] Input: The text question submitted by the user.

[1110] Data processing / calculation: Extract keywords from questions using natural language processing (NLP) techniques.

[1111] Output: Extracted keywords.

[1112] Step 3:

[1113] The server searches the database to find relevant educational content and product information.

[1114] Input: Extracted keywords.

[1115] Data processing / calculation: Perform database searches to retrieve relevant content.

[1116] Output: Related educational content and product information.

[1117] Step 4:

[1118] The server generates an appropriate response.

[1119] Input: Related educational content or product information.

[1120] Data processing / computation: Generate answer text using a generative AI model.

[1121] Output: The generated answer text.

[1122] Step 5:

[1123] An emotion analysis means analyzes the user's emotional state.

[1124] Input: User's facial image and voice tone.

[1125] Data processing / calculation: Emotions are determined using image analysis software (DeepFace) and voice analysis technology.

[1126] Output: The user's emotional state as a result of the analysis.

[1127] Step 6:

[1128] The server modifies the answer based on the sentiment analysis results.

[1129] Input: Generated answer text, user's emotional state.

[1130] Data manipulation / computation: Inserting encouraging messages or additional information into responses based on emotional state.

[1131] Output: The corrected answer text.

[1132] Step 7:

[1133] The server converts the final answer text into audio format.

[1134] Input: The revised answer text.

[1135] Data processing / computation: Convert text to speech using text-to-speech technology (gTTS).

[1136] Output: The final answer in audio format.

[1137] Step 8:

[1138] The final answer is provided to the user's terminal.

[1139] Input: Your final answer in audio format.

[1140] Data processing / calculation: Launch the device's audio player and play the audio.

[1141] Output: The user receives the answer in audio format.

[1142] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1143] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1144] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1145] [Fourth embodiment]

[1146] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1147] 7, a 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.

[1148] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1149] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1150] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1151] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1152] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1153] The control object 443 includes a display device, LEDs in the eyes, and motors for driving 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 emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1154] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1155] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[1156] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1157] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1158] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1159] This system allows students to receive guidance from renowned cram school instructors anytime, anywhere to solve questions and problems they encounter while studying. The system includes the following main components: a user interface, a server, a question analysis unit, an answer generation unit, and an answer provision unit.

[1160] User Interface

[1161] The user interface is the interaction part that makes it easy for students (users) to use the app. When a user launches the app, a screen for selecting a subject or course is displayed. For example, if the user selects "Mathematics," related educational content is displayed.

[1162] server

[1163] The server is a central processing unit that receives user selections and inputs and generates appropriate answers. The server has a database containing patterned educational content. By searching this database, the server finds appropriate answers to user questions.

[1164] Question analysis means

[1165] When a user inputs a question, the device sends the question to the server. The server then analyzes the received question using natural language processing technology and extracts keywords. For example, if the user inputs a question such as "I don't understand basic applied problems in differential and integral calculus," the server will extract keywords such as "differential and integral calculus" and "applied problems."

[1166] Answer generation means

[1167] Based on the keywords extracted by the question analysis means, the server searches a database to find the most appropriate lecture content or blackboard content. This data is then used to generate an appropriate answer. The generated answer can be formatted as text, audio, or video. For example, if the answer is in audio format, the server uses a speech synthesis means to convert the text into audio.

[1168] How to provide answers

[1169] The generated answer is sent from the server to the terminal. The terminal provides the received answer to the user. The response format is displayed in text, audio, or video format based on the user's selection. For example, if the user selects audio format, an audio player is launched and the generated audio is played.

[1170] Specific examples

[1171] For example, if a user selects "English" and enters "I don't know how to use relative pronouns," the device will send this question to the server. The server will extract keywords such as "relative pronouns" and "usage" and search the database. Based on the most appropriate lecture content and blackboard notes, the server will generate an audio response and send it to the device. The device will then launch an audio player, allowing the user to receive instruction.

[1172] As a result, the system of the present invention allows students to receive effective support from famous cram school instructors wherever they are, thereby improving their learning efficiency.

[1173] The processing flow will be explained below.

[1174] Step 1:

[1175] The user launches the app.

[1176] The app's home screen will appear, allowing users to select the subject or course they would like to consult about.

[1177] Step 2:

[1178] The user selects the subject or course they wish to consult about.

[1179] The device sends a request to the server based on the user's selection, reporting the selection, such as "math."

[1180] Step 3:

[1181] The server receives the request.

[1182] The server searches the database for educational content related to the selected subject and returns it to the terminal.

[1183] Step 4:

[1184] The terminal displays the received educational content to the user.

[1185] The user reviews the provided educational content and thinks of a question.

[1186] Step 5:

[1187] The user enters a question in text format.

[1188] For example, enter "I don't understand basic application problems in differential and integral calculus."

[1189] Step 6:

[1190] The terminal sends the entered question to the server.

[1191] The question is sent to the server as an HTTP request.

[1192] Step 7:

[1193] The server parses the received query.

[1194] Using natural language processing technology, keywords such as "calculus" and "applied problems" are extracted from the questions.

[1195] Step 8:

[1196] The server searches the database based on the extracted keywords.

[1197] Find relevant lecture content and board notes.

[1198] Step 9:

[1199] The server generates the best answer.

[1200] Based on the lecture content found, it generates and formats appropriate answers to questions.

[1201] Step 10:

[1202] The server generates a response and sends it to the terminal.

[1203] Answers can be provided in text, audio, or video format.

[1204] Step 11:

[1205] The terminal provides the received answer to the user.

[1206] If it is in text format, it is displayed on the screen, if it is in audio format, it is played on an audio player, and if it is in video format, it is played on a video player.

[1207] Step 12:

[1208] The user checks the answers and resolves their doubts.

[1209] The user sees, hears, or visually understands the answers provided.

[1210] This detailed processing step allows the system to quickly and effectively provide relevant answers to users' questions.

[1211] Example 1

[1212] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1213] It is difficult to provide prompt and appropriate answers to the questions and problems that students face during their studies. In particular, there are limited environments where students can receive guidance from instructors with specialized knowledge, which reduces learning efficiency at home or while traveling.

[1214] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1215] In this invention, the server includes a means for providing a user interface for students to select the subject or course they wish to consult about, a central processing unit for searching for relevant educational content based on the user's selection and providing that educational content, a means for providing an interface for users to input questions, a means for transmitting the input question to the central processing unit, analyzing the question, and generating an appropriate answer, and a means for providing the generated answer in text, audio, or video format. This enables students to receive prompt and appropriate guidance from renowned cram school instructors wherever they are.

[1216] A "student" is a person studying a particular subject or subject in order to receive an education.

[1217] "Consulting" is the act of seeking advice or answers regarding questions or issues that arise during learning.

[1218] A "subject" refers to a specific area of ​​knowledge as part of an educational curriculum.

[1219] A "subject" is a subject of study that is further subdivided into a specific subject.

[1220] The "user interface" is the part that provides the screen and operating means for the user to interact with the system.

[1221] A "central processing unit" is a computer device that analyzes information entered by a user and performs appropriate processing or response.

[1222] "Data storage device" refers to a recording medium or database system for storing educational content in a patterned format.

[1223] "Speech synthesis device" refers to equipment and software technology for converting text data into voice data.

[1224] "Educational content" refers to information about the knowledge and skills to be learned.

[1225] "Questions" are specific inquiries about doubts or issues that arise during learning.

[1226] An "answer" is a response or explanation provided to a question.

[1227] "Text format" refers to the format in which text is displayed.

[1228] "Audio format" refers to the format in which the audio is displayed.

[1229] "Video format" refers to the display format of the video.

[1230] The present invention is a system that allows students to receive guidance from instructors anytime, anywhere to solve questions or problems they encounter during their studies. The system includes the following major components: a user interface, a central processing unit, a question analysis unit, an answer generation unit, and an answer provision unit.

[1231] User Interface

[1232] The user interface is the interaction section that makes it easy for students (users) to use the app. When a user launches the app, a screen appears for selecting a subject or course. For example, if the user selects "Mathematics," related educational content is displayed.

[1233] central processing unit

[1234] The central processing unit is a computing device that receives user selections and inputs and generates appropriate answers. This device has a data store that stores patterned educational content. By searching this data store, the central processing unit finds appropriate answers to user questions.

[1235] question analysis device

[1236] When a user inputs a question, the terminal sends the question to the central processing unit, which analyzes the received question using natural language processing technology and extracts keywords. For example, if the question is "I don't understand basic applied problems in differential and integral calculus," the central processing unit extracts keywords such as "differential and integral calculus" and "applied problems."

[1237] answer generator

[1238] Based on the keywords extracted by the question analyzer, the central processing unit searches the data storage device to find the most appropriate lecture content or blackboard content. This data is then used to generate an appropriate answer. The generated answer may be formatted as text, audio, or video. For example, in the audio format, the central processing unit uses a speech synthesizer to convert the text into audio.

[1239] Answer providing device

[1240] The generated answer is sent from the central processing unit to the terminal. The terminal provides the received answer to the user. The response format is displayed in text, audio, or video format based on the user's selection. For example, if the user selects audio format, an audio player is launched and the generated audio is played.

[1241] Specific examples

[1242] For example, if a user selects "English" and enters "I don't know how to use relative pronouns," the terminal will send this question to the central processing unit. The central processing unit will extract keywords such as "relative pronouns" and "usage" and search the data storage device. Based on the most appropriate lecture content and blackboard notes, the central processing unit will generate an answer in audio format and send it to the terminal. The terminal will then launch an audio player, allowing the user to receive guidance.

[1243] Prompt Sentence Examples

[1244] The prompt for the generative AI model would be:

[1245] "Write a program for a system that analyzes questions entered by students and generates answers in spoken form based on appropriate educational content."

[1246] As a result, the system of the present invention allows students to receive effective support from instructors wherever they are, thereby improving learning efficiency.

[1247] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1248] Step 1:

[1249] App launch

[1250] The user launches the application on their device. The user's login information (user ID, password) is required as input. The output is a subject selection screen. Specifically, the device launches the application and displays the login screen. The user enters the login information and clicks the login button.

[1251] Step 2:

[1252] Subject Selection

[1253] When a user logs in, a subject selection screen is displayed. The input requires the user's subject selection (e.g., Mathematics, English). The output is a display of related educational content. Specifically, the terminal displays the subject selection screen and waits for the user to make a selection. The user selects a subject and clicks the Select button.

[1254] Step 3:

[1255] Enter a question

[1256] After the user selects a subject, a question input screen is displayed. The input requires the user's question (e.g., "I don't understand the basic application problem in differential and integral calculus"). The output is the question being sent from the terminal to the server. Specifically, the terminal displays the question input screen and waits for the user's input. The user enters the question and clicks the send button.

[1257] Step 4:

[1258] Submit a question

[1259] The device sends the user's question to the server. The input required is the content of the user's question. The output is the server's confirmation of receipt. Specifically, the device sends the question entered by the user to the server as text data.

[1260] Step 5:

[1261] question analysis

[1262] The server analyzes the received question and extracts keywords using natural language processing technology. The input required is the submitted question text. The output is the extracted keywords. Specifically, the server analyzes the question text and extracts important keywords. It uses a natural language processing library (e.g., spaCy or NLTK).

[1263] Step 6:

[1264] Answer generation

[1265] The server searches the database based on the extracted keywords to find the most suitable educational content. The extracted keywords are required as input. The output is the generated answer. Specifically, the server searches the database to find the most suitable answer. It uses an SQL query to search the database and find the most suitable lecture content. It then uses speech synthesis technology to convert the text into speech.

[1266] Step 7:

[1267] Provide answers

[1268] The server sends the generated answer to the terminal. The generated answer data is required as input. The output is the answer received by the terminal. Specifically, the server sends the generated answer to the terminal. The terminal provides the received answer to the user. The answer is displayed based on the format selected by the user. For example, if the answer is in audio format, an audio player is launched and the generated audio is played.

[1269] (Application example 1)

[1270] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1271] Conventional learning support systems are primarily limited to providing educational content for students and are not suitable for problem-solving or support in real-world work environments. Furthermore, they lack the means to obtain fast and accurate answers to the complex problems faced by on-site workers. This can lead to reduced work efficiency and increased errors. There is a particular need for a hands-free method of obtaining information, but current systems have difficulty meeting these requirements.

[1272] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1273] In this invention, the server includes: means for providing a user interface for students to select the subject or course they wish to consult about; a server for searching for relevant educational content based on the user's selection and providing the educational content; means for providing an interface for users to input questions; means for transmitting the input questions to the server, analyzing the questions, and generating appropriate answers; means for providing the generated answers in text, audio, or video format; and means for providing problem-solving support to workers wearing smart devices that allow users to input questions by voice and provide the generated answers in audio or video format. This allows on-site workers to quickly and accurately solve problems without using their hands, thereby improving work efficiency and quality.

[1274] A "user interface" is an element that provides an operation screen and input means for a user to interact with a system.

[1275] A "server" is a central processing unit that processes user selections and inputs and generates and provides appropriate responses.

[1276] The "interface for inputting questions" is an input means by which a user inputs questions or issues to the system.

[1277] The "means for analyzing a question and generating an appropriate answer" is a function that analyzes an input question, searches for and combines related information, and generates an optimal answer.

[1278] The "means for providing the generated answer in text, audio, or video format" is a function for presenting the generated answer to the user in an appropriate format.

[1279] A "smart device" is a device worn by a user and has the function of inputting and outputting audio and video.

[1280] "Worker" refers to a person who performs a specific task or work, and is a user who uses the system.

[1281] "Means to support problem solving" is a function that provides appropriate information and instructions to help workers solve the questions and problems they face.

[1282] This invention is a system that supports problem-solving in the workplace, and aims to provide instant, expert answers via smart devices. This system applies a conventional system for solving questions and problems that students face during their studies, and provides a means for workers to solve problems they face in the workplace.

[1283] To implement the present invention, the following hardware and software are required:

[1284] 1. Smart devices (e.g., smart glasses)

[1285] 2. Server

[1286] 3. Database

[1287] 4. Natural Language Processing Libraries (NLP Models)

[1288] 5. Speech recognition library (e.g., speech_recognition)

[1289] 6. Speech synthesis library (e.g., pyttsx3)

[1290] Generating a Program

[1291] The system of the present invention performs the following process: First, the worker uses a microphone attached to the smart device to input a question by voice. This voice is converted into text using a speech recognition library (speech_recognition). Then, the question is analyzed using natural language processing (NLP model) to extract keywords. Based on these keywords, the server searches a database and generates the optimal answer. The generated answer is converted into voice format using a speech synthesis library (pyttsx3) and is provided to the worker again via the smart device.

[1292] Specific hardware and software names used

[1293] The hardware used includes smart glasses as a smart device and a server as a central processing unit. The software used is the speech_recognition library for speech recognition, an NLP model for natural language processing, and the pyttsx3 library for speech synthesis.

[1294] Specific examples

[1295] For example, if a mechanic asks, "How do I troubleshoot a hydraulic system?", the smart glasses collect this speech and convert it into text using a speech recognition library. Then, they use an NLP model to extract keywords such as "hydraulic system" and "troubleshooting." The server then searches the database based on these keywords and generates the most appropriate answer. The generated answer is then converted into audio format using a speech synthesis library and provided to the mechanic through the smart glasses.

[1296] Example prompt sentence:

[1297] User: "How do I troubleshoot a hydraulic system?"

[1298] Systems: "When troubleshooting a hydraulic system, first verify that the hydraulic pump is working. Then check the piping for damage or leaks and check the pressure gauges. Need more detailed instructions?"

[1299] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1300] Step 1:

[1301] The user (worker) wears a smart device (smart glasses) and inputs a question by voice. Specifically, the user uses the voice input function to speak a question such as, "Please tell me how to troubleshoot a hydraulic system." The input is voice data, which is processed in the next step.

[1302] Step 2:

[1303] The smart device converts the input voice data into text using a voice recognition library (e.g., speech_recognition). Specifically, the voice data is passed to a recognition engine and converted into text format. The output of this process is the text data "Please tell me how to troubleshoot a hydraulic system."

[1304] Step 3:

[1305] The smart device or server passes the text data to a natural language processing library (NLP model) to analyze the text. Specifically, the NLP model extracts keywords from the text. The input for this step is the text data, and the output is keywords such as "hydraulic system" and "troubleshooting."

[1306] Step 4:

[1307] The server searches the database based on the extracted keywords to obtain relevant information. Specifically, a database query is executed to select the most appropriate answer. The input of this step is keyword data, and the output is answer data.

[1308] Step 5:

[1309] The server passes the generated answer data to a speech synthesis library (e.g., pyttsx3) and converts it into speech format. Specifically, the text data is converted into speech data, and a speech file is generated. The input of this step is the answer data, and the output is speech data.

[1310] Step 6:

[1311] The smart device plays the generated audio data and provides it to the user. Specifically, the audio is played through the speaker of the smart glasses. The input of this step is audio data, and the output is audio information.

[1312] Through the above processing steps, users can input questions by voice and receive quick and accurate answers through their smart devices.

[1313] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1314] This invention is a system that allows students to receive guidance from renowned cram school instructors anytime, anywhere to solve questions and problems they encounter while studying. Furthermore, this invention incorporates an "emotion engine" that recognizes the user's emotions and provides appropriate support based on those emotions. This system includes the following components: a user interface, a server, a question analysis means, an answer generation means, an emotion engine, and an answer provision means.

[1315] User Interface

[1316] The user interface is the interaction part that makes it easy for users to use the app. When a user launches the app, a screen appears for selecting a subject or course of study. For example, if the user selects "Mathematics," related educational content is displayed.

[1317] server

[1318] The server is a central processing unit that receives user selections and inputs and generates appropriate answers. The server has a database containing patterned educational content. By searching this database, the server finds appropriate answers to user questions.

[1319] Question analysis means

[1320] When a user inputs a question, the device sends the question to the server. The server then analyzes the received question using natural language processing technology and extracts keywords. For example, if the user inputs a question such as "I don't understand basic applied problems in differential and integral calculus," the server will extract keywords such as "differential and integral calculus" and "applied problems."

[1321] Answer generation means

[1322] Based on the keywords extracted by the question analysis means, the server searches a database to find the most appropriate lecture content or blackboard content. This data is then used to generate an appropriate answer. The generated answer can be formatted as text, audio, or video. For example, if the answer is in audio format, the server uses a speech synthesis means to convert the text into audio.

[1323] Emotion Engine

[1324] The emotion engine is a technology that recognizes the user's emotional state in real time. For example, it analyzes the user's facial expressions and tone of voice to determine whether the user is confused, stressed, or confident. This information is sent to the server and taken into consideration when generating answers.

[1325] How to provide answers

[1326] The generated answer is sent from the server to the terminal. The terminal provides the received answer to the user. The response format is displayed in text, audio, or video format based on the user's selection. For example, if the user selects audio format, an audio player is launched and the generated audio is played.

[1327] Specific examples

[1328] For example, if a user selects "English" and enters "I don't know how to use relative pronouns," the device will send this question to the server. The server will extract keywords such as "relative pronouns" and "usage" and search the database. Based on the most appropriate lecture content and blackboard notes, the server will generate an audio response and send it to the device. The device will then launch an audio player, allowing the user to receive instruction.

[1329] Furthermore, if the emotion engine determines that the user is feeling stressed based on their facial expression, the server generates an additional encouraging message, such as "You're doing well, you'll understand soon," to motivate the user.

[1330] This allows the system of the present invention to provide effective support from renowned cram school instructors wherever students are, improving learning efficiency. Furthermore, the introduction of an emotion engine makes it possible to provide individual support according to the user's emotional state, bringing even greater benefits.

[1331] The processing flow will be explained below.

[1332] Step 1:

[1333] The user launches the app.

[1334] The app's home screen will appear, allowing users to select the subject or course they would like to consult about.

[1335] Step 2:

[1336] The user selects the subject or course they wish to consult about.

[1337] For example, selecting "Mathematics" causes the terminal to send the user's selection as a request to the server.

[1338] Step 3:

[1339] The server receives the request.

[1340] The server searches the database for educational content related to "mathematics" and returns it to the terminal.

[1341] Step 4:

[1342] The terminal displays the received educational content to the user.

[1343] For example, specific topics such as calculus and linear algebra are displayed.

[1344] Step 5:

[1345] The user enters a question in text format.

[1346] For example, enter "I don't understand basic application problems in differential and integral calculus."

[1347] Step 6:

[1348] The terminal sends the entered question to the server.

[1349] The question is sent to the server as an HTTP request.

[1350] Step 7:

[1351] The server parses the received query.

[1352] Using natural language processing technology, keywords such as "calculus" and "applied problems" are extracted from the questions.

[1353] Step 8:

[1354] The server searches the database based on the extracted keywords.

[1355] Find relevant lecture content and board notes.

[1356] Step 9:

[1357] The server generates the best answer.

[1358] Based on the discovered lecture content, it generates and formats appropriate answers to questions, including specific problem-solving steps.

[1359] Step 10:

[1360] The server generates a response and sends it to the terminal.

[1361] Answers can be provided in text, audio, or video format.

[1362] Step 11:

[1363] The terminal provides the received answer to the user.

[1364] If it is in text format, it will be displayed on the screen, if it is in audio format, it will be played in an audio player, and if it is in video format, it will be played in a video player.

[1365] Step 12:

[1366] The user checks the answer.

[1367] For example, you can read step-by-step explanations in text format, listen to the instructor's explanations in audio format, and visually learn the specific solution steps in video format.

[1368] Step 13:

[1369] In order for the device to recognize the user's emotional state, it uses the device's camera and microphone to send data to the emotion engine.

[1370] The emotion engine analyzes the user's facial expressions and vocal tone to determine their emotional state.

[1371] Step 14:

[1372] The server analyzes the emotion data received from the emotion engine.

[1373] For example, if it is determined that the user is experiencing stress, the server can use that information to provide additional support.

[1374] Step 15:

[1375] The server generates additional answers or encouraging messages based on the emotion data.

[1376] For example, it generates a message such as, "I will teach you carefully until you understand, so please try your best without rushing."

[1377] Step 16:

[1378] Sends any additional responses or messages generated by the server to the terminal.

[1379] It may be provided in text, audio, or video format.

[1380] Step 17:

[1381] The terminal provides the user with any additional responses or messages it receives.

[1382] The user receives additional guidance and encouraging messages to continue learning.

[1383] This detailed processing step allows the system to quickly and effectively provide relevant answers to users' questions, as well as provide personalized support depending on their emotional state.

[1384] Example 2

[1385] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1386] Today's students need support to quickly and accurately resolve questions and issues that arise during their studies. However, physical distance and time constraints make it difficult to receive direct instruction from renowned instructors. Furthermore, the lack of flexible support tailored to students' emotional state can lead to reduced learning efficiency.

[1387] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1388] In this invention, the server includes a means for providing a user interface for students to select the subject or lesson they want to consult about, a central processing unit for searching for related learning content based on the user's selection and providing that learning content, and a means for providing an interface for users to input questions. This allows students to receive instruction from famous cram school instructors wherever they are. Furthermore, incorporating an emotion engine enables personalized support based on the user's emotional state, improving learning efficiency.

[1389] "Means for providing a user interface for students to select the subjects or courses they wish to consult about" refers to the screen or interaction area that allows students to select the courses or courses they wish to study when the application is launched.

[1390] "A central processing unit for searching for relevant learning content based on the user's selection and providing the learning content" refers to a computer system that searches information in a database, finds the most appropriate answer or learning content to the user's question, and provides it.

[1391] "Means for providing an interface for users to input questions" refers to a text input field or voice input system that allows users to input doubts or questions that arise during their studies.

[1392] "Means for sending the input question to a central processing unit, analyzing the question, and generating an appropriate answer" refers to the process of analyzing the question sent by the user using natural language processing technology and generating appropriate learning content and answers based on the results.

[1393] "Means for providing the generated answer in text, audio, or visual form" refers to an interface, including a text display, audio playback, or visual display, for providing the answer generated by the central processing unit to the user.

[1394] "Means including an emotion engine for recognizing the user's emotional state and providing additional support based on that emotion" refers to a system that has the function of determining the user's emotion from facial expressions, tone of voice, etc., and providing appropriate additional encouragement or support based on the results.

[1395] A "database for storing patterns of learning content" refers to a data storage system that organizes and stores each learning content in a specific format or pattern.

[1396] "Speech synthesis means for providing the generated answer in audio form" refers to a technology for converting a text-format answer into audio and providing the answer to the user in audio form.

[1397] This system allows students to receive guidance from renowned instructors wherever they are to solve questions and problems they encounter during their studies. It also incorporates an "emotion engine" that recognizes the user's emotions and provides appropriate support based on those emotions. This system includes the following components: a user interface, a central processing unit (server), a question analysis unit, an answer generation unit, the emotion engine, and an answer provision unit.

[1398] First, the user launches the application on their smartphone or PC and selects a subject. The subject selection screen is a user interface that displays academic fields such as mathematics, English, and science. When the user taps the subject they want to study, related educational content is displayed on the interface. For example, if the user selects "mathematics," the system will present specific educational content such as "calculus" and "algebra."

[1399] The interface for users to enter questions includes a text input field or a voice input system. The device captures this input and sends it to the central processing unit as an HTTP request. Using natural language processing techniques (e.g., Google Cloud NLP or spaCy), the server analyzes the received question. For example, if a user enters "I don't understand basic application problems in calculus," the server identifies keywords such as "calculus" and "application problems."

[1400] Based on the analyzed keywords, the server queries a database. This database may store learning content using MySQL or MongoDB, for example. The server finds relevant lecture content and blackboard notes and generates an answer based on them. Generative AI models (e.g., GPT-3) can also be used to generate detailed explanations and solutions to the user's questions. The generated answer can be formatted in text, audio, or video. For audio, speech synthesis technologies such as Amazon Polly or Google Text-to-Speech are used.

[1401] Furthermore, the emotion engine recognizes the user's emotional state in real time. For example, it analyzes the user's facial expressions and tone of voice to determine whether the user is confused, stressed, or confident. The results obtained by the emotion engine are sent to the central processing unit and taken into consideration when generating answers. For example, if the server determines that the user is stressed, it will generate an additional encouraging message such as, "You're doing well, you're almost there."

[1402] The generated answer is sent from the server to the device, which then displays and plays it in the format most suitable for the user. In the case of audio playback, the built-in audio player is launched and the generated audio is played.

[1403] Specific examples

[1404] The user launches the application, selects "English," and enters, "I don't know how to use relative pronouns." The device sends this question to the server, which extracts keywords such as "relative pronouns" and "usage" and searches a database. Based on related learning materials, the server generates an audio answer and sends it to the device. The device then launches an audio player and plays the audio answer to the user. At the same time, the emotion engine analyzes the user's facial expressions and voice, and if it determines that the user is feeling stressed, it plays an additional encouraging message: "You can do your best."

[1405] Prompt Sentence Examples

[1406] Please provide explanations of basic applied calculus problems, including concrete solutions and examples.

[1407] Generate a lecture on the use of relative pronouns. Include a brief explanation and example sentences.

[1408] Generate encouraging messages that are appropriate for users when they are feeling stressed.

[1409] This allows the system of the present invention to receive effective learning support from famous instructors without being tied to a specific location. Furthermore, the introduction of an emotion engine enables personalized support based on the user's emotions, improving learning efficiency.

[1410] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1411] Program processing flow

[1412] Step 1: Start the system and select a subject

[1413] Input: The user launches the app.

[1414] Output: The subject selection screen will be displayed.

[1415] Specific operation: The user taps the application to launch it. The device displays a subject selection screen, displaying an interface with icons for math, English, science, etc. The user taps the subject they want to study.

[1416] Step 2: Enter and submit your question

[1417] Input: The user enters the question.

[1418] Output: The question is sent to the server.

[1419] Specific behavior: The user types "I don't understand basic application problems in calculus" into the input field. When the device clicks the "Send" button, the input is captured and sent to the server as an HTTP request.

[1420] Step 3: Analyzing the Question

[1421] Input: The server receives the question submitted by the user.

[1422] Output: Keywords extracted from the question.

[1423] Specific operation: The server analyzes the received question using natural language processing technology (e.g., Google Cloud NLP or spaCy). The server extracts keywords such as "calculus" and "applied problems."

[1424] Step 4: Search the database

[1425] Input: Keywords extracted by the server.

[1426] Output: Related teaching materials and lecture content.

[1427] Specific operation: The server queries a database based on the extracted keywords. The database can be, for example, MySQL or MongoDB, and finds the most suitable learning content or lecture content.

[1428] Step 5: Generate an answer

[1429] Input: Learning content retrieved by the server from the database.

[1430] Output: Generated answers (in text, audio, and video formats).

[1431] Specific operation: The server generates an appropriate answer based on the data it finds. It uses a generative AI model (e.g., GPT-3) to generate detailed explanations and solutions. For audio format, it utilizes voice synthesis technology such as Amazon Polly or Google Text-to-Speech.

[1432] Step 6: Sentiment Analysis

[1433] Input: User's facial and voice data.

[1434] Output: Parsed emotional state.

[1435] How it works: The emotion engine analyzes data from the user's device's camera and microphone. It uses OpenCV and Face API for facial expression analysis and Google Speech-to-Text for voice analysis. As a result of the analysis, it determines whether the user is confused, stressed, or confident.

[1436] Step 7: Generate sentiment-based supplemental answers

[1437] Input: Parsed emotional state.

[1438] Output: Additional follow-up answers and encouraging messages.

[1439] Specific operation: The server receives the analysis results of the emotion engine and generates a supplementary response based on that information. For example, it generates an encouraging message such as, "You're doing well, you'll understand soon."

[1440] Step 8: Provide your answers

[1441] Input: Server-generated answer (text, audio, video).

[1442] Output: The answer that is presented to the user.

[1443] Specific operation: The server sends the generated answer to the user's device. The device receives the answer and provides it as text, audio, or video based on the user's selection. For example, if the audio format is selected, the device's built-in audio player will be launched and the generated audio will be played.

[1444] Through this series of processes, the system of the present invention enables students to receive effective learning support wherever they are, thereby improving learning efficiency. In addition, the introduction of an emotion engine makes it possible to provide personalized support according to the user's emotional state.

[1445] (Application example 2)

[1446] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1447] While conventional customer support systems in virtual stores can provide appropriate answers to customer questions, they are unable to respond individually to the customer's emotional state, limiting their ability to improve customer satisfaction. Furthermore, if a customer does not understand a question correctly or is feeling stressed, further assistance is not provided, reducing the effectiveness of the question-answering system.

[1448] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1449] In this invention, the server includes: means for providing a user interface for students to select the subject or course they wish to consult about; a server for searching for relevant educational content based on the user's selection and providing the educational content; means for providing an interface for users to input questions; means for transmitting the input question to the server and analyzing the question to generate an appropriate answer; means for providing the generated answer in text, audio, or video format; and emotion analysis means for analyzing the user's emotional state and modifying the answer based on the analysis results. This makes it possible to provide appropriate support in real time according to the customer's emotional state, which is expected to improve customer satisfaction.

[1450] A "user interface" is a screen or input means through which a user interacts with a system.

[1451] A "server" is a central processing unit that receives user selections and inputs and performs appropriate processing.

[1452] An "interface" is something that provides a means for a user to input a question.

[1453] "Question analysis means" refers to technical means for analyzing an input question and generating an appropriate answer.

[1454] "Answer providing means" refers to the technical means for providing the generated answer in text, audio, or video format.

[1455] "Emotion analysis means" is a technical means for analyzing the user's emotional state and correcting the answer based on the analysis results.

[1456] A "database" is a storage device that stores patterned educational content and makes it searchable.

[1457] "Speech synthesis means" refers to technical means that converts the generated textual response into speech form.

[1458] The present invention is an interactive system that analyzes customer sentiment in a virtual store and provides optimal support in real time. This system includes a series of technical means for efficiently interacting with customers.

[1459] User Interface

[1460] The user interface provides an interface for customers to input questions within the virtual store. Specifically, it includes a web application or a mobile app that customers can access using a smartphone or PC. In this interface, users can enter questions interactively or ask questions using voice input.

[1461] server

[1462] The server is a central processing unit that receives input from customers and generates appropriate answers based on that input. The server is equipped with a database that stores patterned educational content and product information. The server searches this database to find the appropriate answer.

[1463] Question analysis means

[1464] The question analysis means analyzes questions entered by customers using natural language processing technology. Specifically, it extracts keywords from the entered text or voice and searches for related information from a database based on those keywords. This is done using machine learning models and AI technology.

[1465] Means of providing answers

[1466] The answer providing means provides the answer generated by the question analysis means to the customer. The answer is provided in text format, audio format, or video format. In the audio format, the server converts the text into audio using speech synthesis technology, allowing the customer to receive an immediate answer to their question.

[1467] Emotion analysis means

[1468] Emotion analysis techniques are used to analyze a customer's emotional state. For example, image analysis techniques (such as "DeepFace") can be used to read the customer's facial expressions, and voice analysis techniques can be used to analyze the customer's tone of voice. This can determine whether the customer is confused, stressed, or relaxed. Based on this information, it is possible to provide appropriate encouraging messages or additional information when generating responses.

[1469] Examples of audio input and output

[1470] As a concrete example, let's consider the case where a customer uses a smartphone to ask, "What are the features of the latest smartphones?" This input speech is converted into text using speech recognition software (such as "SpeechRecognition"). Next, the server extracts keywords related to "latest smartphones" and "features" and generates an appropriate answer. This answer is converted into speech using speech synthesis technology (such as "gTTS") in the form of "The latest smartphones are very simple to operate, and their camera functions have been significantly upgraded. Don't worry, we'll answer any questions you have, so please don't hesitate to ask."

[1471] Prompt Sentence Examples

[1472] Here are some example prompts for when a customer asks, "What are the features of the latest smartphones?"

[1473] Text format

[1474] latest smartphone features

[1475] This system is expected to provide efficient and advanced support in virtual stores that responds to customers' emotional state, thereby improving customer satisfaction.

[1476] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1477] Step 1:

[1478] The user inputs a question through an interface within the virtual store.

[1479] Input: Voice or text input from your smartphone or PC.

[1480] Data processing / computation: Converting speech to text using speech recognition software (SpeechRecognition).

[1481] Output: The question in text format.

[1482] Step 2:

[1483] The server parses the received text question.

[1484] Input: The text question submitted by the user.

[1485] Data processing / calculation: Extract keywords from questions using natural language processing (NLP) techniques.

[1486] Output: Extracted keywords.

[1487] Step 3:

[1488] The server searches the database to find relevant educational content and product information.

[1489] Input: Extracted keywords.

[1490] Data processing / calculation: Perform database searches to retrieve relevant content.

[1491] Output: Related educational content and product information.

[1492] Step 4:

[1493] The server generates an appropriate response.

[1494] Input: Related educational content or product information.

[1495] Data processing / computation: Generate answer text using a generative AI model.

[1496] Output: The generated answer text.

[1497] Step 5:

[1498] An emotion analysis means analyzes the user's emotional state.

[1499] Input: User's facial image and voice tone.

[1500] Data processing / calculation: Emotions are determined using image analysis software (DeepFace) and voice analysis technology.

[1501] Output: The user's emotional state as a result of the analysis.

[1502] Step 6:

[1503] The server modifies the answer based on the sentiment analysis results.

[1504] Input: Generated answer text, user's emotional state.

[1505] Data manipulation / computation: Inserting encouraging messages or additional information into responses based on emotional state.

[1506] Output: The corrected answer text.

[1507] Step 7:

[1508] The server converts the final answer text into audio format.

[1509] Input: The revised answer text.

[1510] Data processing / computation: Convert text to speech using text-to-speech technology (gTTS).

[1511] Output: The final answer in audio format.

[1512] Step 8:

[1513] The final answer is provided to the user's terminal.

[1514] Input: Your final answer in audio format.

[1515] Data processing / calculation: Launch the device's audio player and play the audio.

[1516] Output: The user receives the answer in audio format.

[1517] 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 control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1518] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1519] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1520] The emotion identification model 59 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 an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1521] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1522] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1523] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1524] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1525] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs 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 a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1526] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1527] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1528] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1529] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1530] 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.

[1531] It is not necessary to store all 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 all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1532] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1533] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with 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). Also, the hardware resource that executes the specific processing may be a single processor.

[1534] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1535] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1536] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1537] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1538] The following is further disclosed regarding the above embodiment.

[1539] (Claim 1)

[1540] A means for providing a user interface for students to select a subject or course they wish to consult;

[1541] a server for searching for relevant educational content based on a user's selection and providing the educational content;

[1542] means for providing an interface for a user to input a question;

[1543] means for transmitting an input question to a server, analyzing the question, and generating an appropriate answer;

[1544] means for providing the generated answer in text, audio, or video form;

[1545] A system including:

[1546] (Claim 2)

[1547] 10. The system according to claim 1, further comprising a server including a database for storing patterns of educational content.

[1548] (Claim 3)

[1549] 10. The system of claim 1, including speech synthesis means for providing the generated answers in audio form.

[1550] "Example 1"

[1551] (Claim 1)

[1552] A means for providing a user interface for students to select the subject or course they wish to consult;

[1553] a central processing unit for retrieving relevant educational content and providing the educational content based on the user's selection;

[1554] means for providing an interface for a user to input a question;

[1555] means for transmitting the input question to a central processing unit, and analyzing the question to generate an appropriate answer;

[1556] means for providing the generated answer in text, audio, or video form;

[1557] A system including:

[1558] (Claim 2)

[1559] 10. The system of claim 1, further comprising a data storage device for storing patterned educational content.

[1560] (Claim 3)

[1561] 10. The system of claim 1, including a speech synthesizer for providing the generated answers in audio form.

[1562] "Application Example 1"

[1563] (Claim 1)

[1564] A means for providing a user interface for students to select a subject or course they wish to consult;

[1565] a server for searching for relevant educational content based on a user's selection and providing the educational content;

[1566] means for providing an interface for a user to input a question;

[1567] means for transmitting an input question to a server, analyzing the question, and generating an appropriate answer;

[1568] means for providing the generated answer in text, audio, or video form;

[1569] a means for providing problem-solving support to a worker wearing a smart device, the smart device allowing a user to input a question by voice and providing a generated answer in the form of voice or video;

[1570] A system including:

[1571] (Claim 2)

[1572] 10. The system according to claim 1, further comprising a server including a database for storing patterns of educational content.

[1573] (Claim 3)

[1574] 10. The system of claim 1, including speech synthesis means for providing the generated answers in audio form.

[1575] "Example 2: Combining Emotion Engines"

[1576] (Claim 1)

[1577] A means for providing a user interface for students to select a subject or course they wish to consult;

[1578] a central processing unit for retrieving and providing relevant learning content based on the user's selection;

[1579] means for providing an interface for a user to input a question;

[1580] means for transmitting the input question to a central processing unit, and analyzing the question to generate an appropriate answer;

[1581] means for providing the generated answer in text, audio, or video form;

[1582] means including an emotion engine for recognizing an emotional state of the user and providing additional assistance based on the emotion;

[1583] A system including:

[1584] (Claim 2)

[1585] 10. The system of claim 1, further comprising a central processing unit including a database for storing patterns of learning content.

[1586] (Claim 3)

[1587] 10. The system of claim 1, including speech synthesis means for providing the generated answers in audio form.

[1588] "Application example 2 when combining emotion engines"

[1589] (Claim 1)

[1590] A means for providing a user interface for students to select a subject or course they wish to consult;

[1591] a server for searching for relevant educational content based on a user's selection and providing the educational content;

[1592] means for providing an interface for a user to input a question;

[1593] means for transmitting an input question to a server, analyzing the question, and generating an appropriate answer;

[1594] means for providing the generated answer in text, audio, or video form;

[1595] emotion analysis means for analyzing the user's emotional state and modifying the response based on the analysis result;

[1596] A system including:

[1597] (Claim 2)

[1598] 10. The system according to claim 1, further comprising a server including a database for storing patterns of educational content.

[1599] (Claim 3)

[1600] 10. The system of claim 1, including speech synthesis means for providing the generated answers in audio form. [Explanation of symbols]

[1601] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for providing a user interface for students to select a subject or course they wish to consult; a server for searching for relevant educational content based on a user's selection and providing the educational content; means for providing an interface for a user to input a question; means for transmitting an input question to a server, analyzing the question, and generating an appropriate answer; means for providing the generated answer in text, audio, or video form; A system including:

2. 2. The system according to claim 1, further comprising a server including a database for storing patterns of educational content.

3. 2. The system of claim 1, further comprising speech synthesis means for providing the generated answers in audio form.

Images