System

Abstract

To provide a system.SOLUTION: A system is to recommend articles in daily life and provide demonstration of an operation method through a smart device worn on a user, and includes: means that acquires questions from the user about the articles or the operation method through the smart device; means in which a server receives the questions from the user and collects information; means that analyzes the information collected by the server; means in which the server creates answers to the questions on the basis of the result of the analysis; means that transmits the questions created by the server to a terminal; and means in which the terminal receives the answers and displays the answers on the display of the smart device.SELECTED DRAWING: Figure 1

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 a description and related instruction sentence regarding 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] JP 2022-180282 A Summary of the Invention [Problem to be solved by the invention]

[0004] In conventional product recommendations and usage demonstrations, users had to refer to books or online information to understand how to use the product or tool, which was time-consuming and laborious. In addition, when users had questions about the product, they had to consult with experts, making it difficult to get an immediate answer. [Means for solving the problem]

[0005] The present invention solves the above problems by providing product recommendations and usage demonstrations in daily life through smart glasses. Specifically, when a user asks a question about a product or how to use it through the smart glasses, the smart glasses worn by the user analyze the acquired information and information about the user's situation to generate an appropriate answer. Furthermore, by providing the user with detailed information about the product and how to use the tool, the user can intuitively obtain information.

[0006] This allows users to easily understand how to use products and tools through the smart glasses, saving them the trouble and time it takes to consult with an expert or search for information. In addition, the smart glasses can respond immediately to users' questions and provide appropriate answers, providing information that meets the users' needs. This makes it easier to select products and understand how to use them, improving user convenience.

[0007] "Smart glasses" are glasses that are worn to provide product recommendations and usage demonstrations in daily life, and are capable of displaying information using AR technology.

[0008] "Product recommendation" refers to providing information about products that users want or need, and proposing products that are optimal for the user's needs and circumstances.

[0009] "How to use demonstration" refers to showing specific steps and points to help users understand how to use a product or tool correctly, thereby enabling them to effectively utilize the product or tool.

[0010] A "question" is a form of communication in which a user communicates a doubt or uncertainty about a product or tool, and is used to obtain information.

[0011] "Information analytics" refers to the process by which the smart glasses worn by the user analyze the information acquired and data about the user's situation to identify patterns and trends in order to generate appropriate answers and suggestions.

[0012] An "answer" is information or a solution provided to a user's question, and refers to resolving the user's problem or doubt by accurately conveying the information the user is looking for.

[0013] "Display" refers to the screen or display device installed in the smart glasses, and is the interface that allows the user to visually check information.

[0014] "Providing" means providing information or services to a user, and refers to delivering the necessary information to the user at the appropriate time. [Brief description 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. [Diagram 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. FIG. [Diagram 3] FIG. 11 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Diagram 5] FIG. 13 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. 13 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 13 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] 4 is a sequence diagram showing a process flow of the data processing system according to the first embodiment. FIG. [Figure 12] 11 is a sequence diagram showing a process flow of the data processing system in application example 1. FIG. [Figure 13] FIG. 11 is a sequence diagram showing the flow of processing of the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 11 is a sequence diagram showing the flow of processing in the data processing system in application example 2 when combined with an emotion engine. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

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

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

[0018] In the following embodiments, a signed processor (hereinafter simply referred to as a "processor") may be one arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be one 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), an APU (Accelerated Processing Unit), etc.

[0019] In the following embodiments, a signed 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 code is an interface including a communication processor and an antenna. The communication I / F controls communication between multiple computers. An example of a communication standard applied to the communication I / F is a wireless communication standard 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. In addition, in this specification, the same idea as "A and / or B" is also applied when three or more things are expressed by connecting them with "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 wide area network (WAN) and / or a local area network (LAN).

[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 and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (e.g., a pen or a finger) to receive user input by the touch of the pointer. 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 (e.g., voice and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs voice according to instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, an aperture, and a shutter, and an imaging element such as a Complementary Metal-Oxide-Semiconductor (CMOS) image sensor or a Charge Coupled Device (CCD) image sensor.

[0030] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54.

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

[0032] As shown in Fig. 2, 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. The specific process program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific process program 56 from the storage 32, and executes the read specific process 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 process 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 processing. The storage 50 stores a reception output program 60. The reception output program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads out the reception output program 60 from the storage 50, and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as 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 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 a "server" and the smart device 14 will be referred to as a "terminal."

[0036] An embodiment for implementing the present invention includes the following elements.

[0037] 1. Smart Glasses

[0038] Smart glasses are glasses that users wear to receive product recommendations and usage demonstrations.

[0039] Smart glasses can display information using AR technology.

[0040] 2. Server

[0041] The server receives queries from users and performs processes to obtain and analyze information.

[0042] The server runs programs that respond immediately to user questions and generate appropriate answers.

[0043] 3. Terminal

[0044] The terminal is responsible for receiving the answer sent by the server and displaying the answer on the display of the smart glasses.

[0045] The terminal is responsible for communicating with the smart glasses and providing an interface for the user to check questions and answers.

[0046] 4.Information analysis

[0047] The server analyzes the information acquired by the smart glasses worn by the user and information about the user's situation.

[0048] Machine learning and data analysis techniques are used for information analysis.

[0049] 5.Answer generation

[0050] Based on the results of the information analysis, the server responds immediately to the user's questions and generates appropriate answers.

[0051] Natural language processing and recommendation system algorithms are used to generate answers.

[0052] 6.Providing detailed product information and tool usage information

[0053] The server provides the user with detailed product information and instructions on how to use the tools through smart glasses worn by the user.

[0054] The provided information is displayed on the display of the smart glasses, allowing the user to obtain the information intuitively.

[0055] The above elements are combined to form an embodiment of the present invention, which allows users to easily receive product recommendations and usage demonstrations through smart glasses, making daily life more convenient.

[0056] The process flow of each embodiment will be described below.

[0057] Step 1: User Asks a Question

[0058] Subject: User

[0059] Specific actions: The user asks questions about the product and how to use it through the smart glasses.

[0060] Step 2: The server receives the query

[0061] Subject: Server

[0062] Specific actions: The server receives the user's query and retrieves the information for processing. Step 3: The server analyzes the information

[0063] Subject: Server

[0064] Specific operation: The server analyzes the information acquired by the smart glasses worn by the user and information about the user's situation.

[0065] Step 4: The server generates the answer

[0066] Subject: Server

[0067] Specific operation: Based on the analysis results, the server responds immediately to the user's question and generates an appropriate answer.

[0068] Step 5: The server sends the response to the device

[0069] Subject: Server

[0070] Specific operation: The server sends the generated response to the terminal.

[0071] Step 6: The device receives the response

[0072] Subject: Terminal

[0073] Specific operation: The terminal receives the response sent from the server.

[0074] Step 7: The device will display the answer

[0075] Subject: Terminal

[0076] Specific operation: The device displays the received answer on the display of the smart glasses.

[0077] Step 8: User confirms answers

[0078] Subject: User

[0079] Specific actions: The user checks the answer displayed on the display of the smart glasses.

[0080] Output Condition:

[0081] Step 1: The user asks a question about the product or how to use it through the smart glasses.

[0082] Step 2: The server receives the user's query and retrieves the information.

[0083] Step 3: The server analyzes the information.

[0084] Step 4: The server generates an appropriate answer based on the analysis results.

[0085] Step 5: The server sends the response to the device.

[0086] Step 6: The device receives the response.

[0087] Step 7: The device displays the answer on the smart glasses display.

[0088] Step 8: The user checks the answer displayed on the smart glasses display.

[0089] Example 1

[0090] Next, a description will be given of Example 1. In the following description, the data processing device 12 is referred to as a "server" and the smart device 14 is referred to as a "terminal."

[0091] In modern daily life, there is a demand for a means for users to easily and quickly obtain information on recommendations for items they need and details on how to operate them. In particular, there is an increasing need for a system that can provide information in a visually easy-to-understand manner in real time. Conventional methods require users to search the Internet or follow many steps, which is lacking in operability and convenience. The present invention aims to solve this problem and provide a system that allows users to intuitively obtain information.

[0092] 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.

[0093] In this invention, the server includes a system for providing product recommendations and operation method demonstrations in daily life through a smart device worn by a user. This includes a means for acquiring questions from a user about products and operation methods through the smart device, a means for the server to receive the questions from the user and collect information, a means for the server to analyze the collected information, a means for the server to generate an appropriate answer based on the analysis result, a means for the server to transmit the answer generated by the server to a terminal, and a means for the terminal to receive the answer and display the answer on a display of the smart device. This allows a user to intuitively and quickly obtain the information he or she needs.

[0094] "User" refers to an individual who uses the various functions of the system.

[0095] A "smart device" refers to an electronic device that has augmented reality technology and interface functions and can be operated intuitively by users.

[0096] "Item" refers to a general object such as a product or tool that a user considers using or purchasing.

[0097] "Instructions" refers to information that provides procedures or techniques for using a particular item.

[0098] A "question" refers to an inquiry that a user makes to the server via their smart device to convey information they would like to know or confirm.

[0099] A "server" refers to a computer system that processes data and provides information via a network.

[0100] "Information gathering" refers to the process by which the server gathers the data needed to derive an answer to the user's question.

[0101] "Analysis" refers to the process of processing data and extracting meaning from collected information.

[0102] An "answer" refers to information that provides an appropriate answer to a user's question.

[0103] A "terminal" refers to an electronic device that receives information sent from a server and displays it to the user.

[0104] "Display" refers to a screen installed in a terminal for displaying visual information to a user.

[0105] The present invention relates to a system that allows users to intuitively receive product recommendations and demonstrations of operation methods in their daily lives. This system is composed of a smart device worn by the user, a server that processes and analyzes information, and a terminal that displays the information.

[0106] First, the user wears a smart device. The smart device receives questions through the user's voice input or tap operation and transmits the information to a server. The smart device is equipped with voice recognition software and augmented reality technology, which allows the user to input questions naturally.

[0107] Next, the server receives the question submitted by the user. The server converts the voice data into text and analyzes the intent of the question using a natural language processing toolkit (e.g., NLTK, SpaCy). Based on the analysis result, the server collects relevant information from a database or external APIs. The collected information is analyzed using machine learning algorithms (e.g., Scikit-learn).

[0108] The server generates answers using generative AI models (e.g. ChatGPT) based on the analysis results. The generated answers are expressed in natural language format, making them easy for users to understand.

[0109] The server then sends the generated answer to the terminal, which receives the answer and displays it on the display of a smart device. The terminal is a common electronic device such as a smartphone or tablet, so that the user can visually check the answer.

[0110] As a concrete example, consider the case where a user asks, "How do I use this knife?" The server receives this question, converts it to text, and then uses NLTK to extract the keywords "knife" and "usage". Next, it collects information from relevant databases, analyzes the data using Scikit-learn, and selects the optimal usage procedure. Using a generative AI model (ChatGPT), it generates a specific answer: "To use a knife, follow these steps: 1. Hold the tip of the blade in place and pull it towards you. 2. ...". The answer is then displayed on the smart device's display via the terminal.

[0111] Example prompt:

[0112] "Please tell me how to use this knife."

[0113] In this way, users can intuitively and quickly obtain the information they need, making their daily lives more convenient.

[0114] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0115] Step 1:

[0116] A user wears a smart device and asks a question by voice input or tapping. For example, a user may say, "Please tell me how to use this knife." The smart device captures the user's voice and obtains the voice data.

[0117] Input: Audio data

[0118] Output: Acquire audio data

[0119] Step 2:

[0120] The smart device transmits the captured voice data to the server, which receives the voice data and converts it into text data using voice recognition software.

[0121] Input: Audio data

[0122] Output: Text data

[0123] Step 3:

[0124] The server analyzes the converted text data using a natural language processing toolkit (e.g., NLTK, SpaCy). This allows the intent of the question and key keywords to be extracted. For example, "knife" and "how to use" are extracted.

[0125] Input: Text data

[0126] Output: Keywords (e.g. "knife", "how to use")

[0127] Step 4:

[0128] The server collects relevant data based on the extracted keywords, and information on knife usage is collected from databases and external APIs. This collection involves multiple requests and data references.

[0129] Input:keyword

[0130] Output: Collecting relevant information

[0131] Step 5:

[0132] The server analyzes the collected data using machine learning algorithms (e.g., Scikit-learn). This allows it to select the answer that best suits the user's needs, for example by taking into account past inquiries and behavioral history.

[0133] Input: Collected data

[0134] Output: Analysis results

[0135] Step 6:

[0136] The server uses a generative AI model (e.g. ChatGPT) to generate a specific answer based on the analysis results. For example, the answer generated is "To use a knife, follow these steps: 1. Hold the blade at a fixed position and pull it toward you. 2. ..."

[0137] Input: Analysis results

[0138] Output: The generated answer

[0139] Step 7:

[0140] The server sends the generated answer to the terminal. The terminal then sends the received answer to the smart device and displays it on the display. The user can check the answer through the display of the smart device.

[0141] Input: Generated Answer

[0142] Output: Answer shown on the display

[0143] (Application example 1)

[0144] 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."

[0145] Conventional information provision systems using smart glasses have the problem that the answers to questions about products from users are limited, and detailed product information and usage instructions are insufficient. In addition, since there is no mechanism for providing an interactive user experience, it is difficult to improve the quality of customer service in physical stores. This makes it difficult to improve customer satisfaction and promote sales effectively.

[0146] 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.

[0147] In this invention, the server includes a means for acquiring questions about products and usage through the smart glasses by the user, a means for acquiring information, a means for analyzing the information and generating an appropriate answer, a means for transmitting the generated answer to the terminal, a means for the terminal to receive the answer and display the answer on the display of the smart glasses, and a means for the terminal to acquire additional information about the product using the generative AI model and display the information on the display of the smart glasses, thereby making it possible to provide detailed and appropriate product information and usage demonstrations in real time.

[0148] "Smart glasses" are glasses that users wear to receive product recommendations and demonstrations of how to use them, and are a device that displays information using AR technology.

[0149] A "server" is a central processing unit that receives queries from users, acquires information, analyzes it, generates appropriate responses, and transmits them to terminals.

[0150] The "terminal" is a device that receives the answer sent from the server and displays it on the display of the smart glasses.

[0151] A "generative AI model" is an artificial intelligence model used to generate appropriate answers and additional information to user questions, and uses algorithms such as natural language processing and machine learning.

[0152] A "prompt" is a textual instruction that is input into a generative AI model and acts as a guideline for generating an appropriate answer.

[0153] "Product Information" means detailed data about a particular product, including its features, uses, benefits, etc.

[0154] A "demonstration" is a method of visually explaining how to use a product and its effects, making it easier for users to intuitively understand.

[0155] An embodiment for implementing the present invention includes the following elements.

[0156] 1. Smart Glasses

[0157] Smart glasses are devices that users wear to receive product recommendations and usage demonstrations, and display information using augmented reality (AR) technology, allowing users to simultaneously view real-world visual information and digital information.

[0158] 2. Server

[0159] The server is a central processing unit for realizing the following functions:

[0160] To acquire questions about a product and how to use the product through the smart glasses by a user.

[0161] Analyze the question and obtain information to generate an appropriate answer.

[0162] A generative AI model is used to generate appropriate additional information based on the generated answers.

[0163] The generated additional information is sent to the terminal.

[0164] 3. Terminal

[0165] A terminal is a device that is responsible for the following functions:

[0166] The answer sent from the server is received and displayed on the smart glasses display.

[0167] Upon request from the server, the generative AI model is used to obtain additional information about the product and display it on the smart glasses.

[0168] 4. Generative AI Models

[0169] A generative AI model is an artificial intelligence model used to generate appropriate answers and additional information to user questions, and uses natural language processing and machine learning algorithms.

[0170] 5. Prompt Sentence

[0171] Prompts are textual instructions that are input to a generative AI model and act as guidelines for generating appropriate answers.

[0172] Example: "You are in a store, explaining products to customers. The customer asks the question: 'What are the features of this product?' How would you explain it?"

[0173] Hardware and Software Configuration

[0174] The system configuration for implementing this is shown below.

[0175] Hardware:

[0176] Smart glasses: worn by the user and used as a display.

[0177] Server: Receives the user's question, analyzes and processes the information.

[0178] Terminal: Responsible for communication between the server and the smart glasses.

[0179] software:

[0180] Augmented Reality (AR) SDK: Software for displaying information on the display of smart glasses.

[0181] Natural Language Processing (NLP) libraries: Used by generative AI models to generate accurate answers.

[0182] Machine learning: Used as a technique for analyzing questions and generating answers.

[0183] Generative AI models (e.g. ChatGPT): responsible for rich vocabulary text generation.

[0184] Examples

[0185] If a user wears smart glasses and walks into a brick-and-mortar store and asks about a particular product, “What are the features of this product?”

[0186] 1. The server receives this question and performs an analysis.

[0187] 2. Based on the analysis results, a generative AI model is used to generate detailed product information.

[0188] 3. The server sends detailed product information to the terminal, which then displays it on the smart glasses display.

[0189] In this way, the system of the present invention allows users to receive detailed and appropriate product information and usage demonstrations in real time.

[0190] The flow of the specific process in the application example 1 will be described with reference to FIG.

[0191] Step 1: A user puts on the smart glasses and inputs a question about the product.

[0192] Input: A user asks the smart glasses a question: "What are the features of this product?"

[0193] Output: The user's question is sent to the server through the smart glasses.

[0194] Step 2: The server receives the user's question and analyzes the question.

[0195] Input: User question sent from smart glasses: "What are the features of this product?"

[0196] Output: Analysis of the question (based on natural language processing)

[0197] Step 3: The server uses the generative AI model to generate an appropriate answer.

[0198] Input: Prompt text based on analysis results: "Please tell me about the features of this product."

[0199] Output: Detailed product feature answer text generated by a generative AI model (e.g. ChatGPT)

[0200] Step 4: The server sends the generated answer to the terminal.

[0201] Input: Answer text of product features generated by generative AI model

[0202] Output: The answer text is sent to the terminal.

[0203] Step 5: The terminal receives the answer text and displays it on the display of the smart glasses.

[0204] Input: Answer text sent from the server

[0205] Output: Text information of product features displayed on the smart glasses display

[0206] Step 6: The device uses the generative AI model to obtain additional information about the product.

[0207] Input: User's question and basic information, and the prompt for the generated AI model: "Please tell me more about this product."

[0208] Output: Text with additional information generated by the generative AI model

[0209] Step 7: The device displays the additional information on the smart glasses display.

[0210] Input: Text of additional information generated by the generative AI model

[0211] Output: Text information for additional information displayed on the smart glasses display

[0212] Through this series of processes, users can receive detailed and appropriate product information and usage demonstrations in real time.

[0213] Furthermore, an emotion engine that estimates the emotion of the user may be combined. That is, the identification processing unit 290 may estimate the emotion of the user using the emotion identification model 59, and perform identification processing using the emotion of the user.

[0214] An embodiment for implementing the present invention includes the following elements.

[0215] 1. Smart Glasses

[0216] The smart glasses are glasses that users wear to receive product recommendations and usage demonstrations, and are combined with an emotion engine.

[0217] Smart glasses can display information using AR technology.

[0218] 2. Emotion Engine

[0219] The emotion engine is a system equipped with sensors and algorithms to recognize the user's emotions and plays a role in analyzing the user's emotions.

[0220] The emotion engine can tailor answers and suggestions to suit the user's emotions.

[0221] 3. Server

[0222] The server receives queries from users and performs processes to obtain and analyze information.

[0223] The server obtains the user's emotion information recognized by the emotion engine and adjusts answers and suggestions to match the user's emotions.

[0224] 4. Terminal

[0225] The terminal is responsible for receiving the answer sent by the server and displaying the answer on the display of the smart glasses.

[0226] The terminal is responsible for communicating with the smart glasses and providing an interface for the user to check questions and answers.

[0227] 5. Information analysis and answer generation

[0228] The server analyzes information acquired by the smart glasses worn by the user and information about the user's situation, and combines this information with the user's emotional information recognized by the emotion engine to generate an answer.

[0229] Natural language processing and recommendation system algorithms are used to generate answers, generating appropriate answers and suggestions that match the user's emotions.

[0230] The above elements are combined to construct an embodiment of the present invention, which not only allows users to receive product recommendations and usage demonstrations through smart glasses, but also recognizes the user's emotions through the emotion engine and adjusts answers and suggestions to match the user's emotions, thereby providing more personalized services and improving user satisfaction.

[0231] The process flow of each embodiment will be described below.

[0232] Step 1: User Asks a Question

[0233] Subject: User

[0234] Specific actions: The user asks questions about the product and how to use it through the smart glasses.

[0235] Step 2: Smart glasses recognize user emotions

[0236] Subject:Smart glasses

[0237] Specific operation: The smart glasses use sensors to recognize the user's emotions and analyze the user's facial expressions, tone of voice, etc. using the built-in emotion engine.

[0238] Step 3: The server receives the query

[0239] Subject: Server

[0240] Specific actions: The server receives the user's query and retrieves the information for processing. Step 4: The server analyzes the information

[0241] Subject: Server

[0242] Specific operation: The server analyzes the information acquired by the smart glasses worn by the user and information about the user's situation. It also acquires the user's emotion information recognized by the emotion engine. Step 5: The server generates an answer

[0243] Subject: Server

[0244] Specific operation: Based on the analysis results, the server immediately responds to the user's question and generates an appropriate answer. The answer is adjusted taking into account the user's emotional information recognized by the emotion engine.

[0245] Step 6: The server sends the response to the device

[0246] Subject: Server

[0247] Specific operation: The server sends the generated response to the terminal.

[0248] Step 7: The device receives the response

[0249] Subject: Terminal

[0250] Specific operation: The terminal receives the response sent from the server.

[0251] Step 8: The device will display the answer

[0252] Subject: Terminal

[0253] Specific operation: The device displays the received answer on the smart glasses display, and adjusts the display style and tone of the answer based on the user's emotional information recognized by the emotion engine.

[0254] Step 9: User confirms answers

[0255] Subject: User

[0256] Specific operation: The user checks the answer displayed on the smart glasses display. The answer is adjusted to the user's emotions and appropriate feedback is provided.

[0257] Output Condition:

[0258] Step 1: The user asks a question about the product or how to use it through the smart glasses.

[0259] Step 2: The smart glasses recognize the user's emotions.

[0260] Step 3: The server receives the user's query and retrieves the information.

[0261] Step 4: The server analyzes the information.

[0262] Step 5: The server generates an appropriate answer based on the analysis results.

[0263] Step 6: The server sends the response to the terminal.

[0264] Step 7: The device receives the response.

[0265] Step 8: The device displays the answer on the smart glasses display.

[0266] Step 9: The user checks the answer displayed on the smart glasses display.

[0267] Example 2

[0268] Next, a description will be given of Example 2. In the following description, the data processing device 12 is referred to as a "server" and the smart device 14 is referred to as a "terminal."

[0269] Conventional product recommendation systems using smart glasses simply provide information without considering the user's emotional state. This makes it difficult to provide personalized services because the system is unable to respond flexibly to the user's emotions. In addition, if the user is not emotionally calm, inappropriate answers are displayed, which reduces the user's satisfaction.

[0270] 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.

[0271] In this invention, the server includes a means for acquiring questions from the user about products and how to use them through the smart glasses, a means for the server to receive the questions from the user and acquire information, a means for recognizing the user's emotions using an emotion engine and acquiring emotion data, a means for analyzing the information and emotion data acquired by the server and generating an appropriate answer, a means for transmitting the answer generated by the server to a terminal, and a means for the terminal to receive the answer and display the answer on the display of the smart glasses. This makes it possible to flexibly provide information according to the user's emotional state, and to provide personalized services. In addition, by providing appropriate answers and suggestions according to the user's emotions, the user's satisfaction can be improved.

[0272] "Smart glasses" are a technical device that is a glasses-type device equipped with a display function that displays information in the user's field of vision, and also has built-in sensors and communication modules.

[0273] An "emotion engine" is a system that includes sensors and algorithms for recognizing a user's emotions, and is a technology that grasps the user's emotional state and performs data analysis based on that.

[0274] A "server" is a computer system that receives, transmits, analyzes, and stores data via a network, and in this invention, it is a device that plays a central role in processing queries from users and providing necessary information.

[0275] A "terminal" is a device that receives data sent from the server and displays it to the user, and is a device that communicates with the smart glasses and provides information in real time.

[0276] "Natural language processing" is a technology that enables computers to understand and analyze human language, and is used to analyze the meaning of questions posed by users.

[0277] A "recommendation system algorithm" is a computational method for analyzing a user's past behavior and preferences to suggest optimal products and information, and is a technology used in this invention to make appropriate suggestions to the user.

[0278] A "display" is a screen or display device for visually displaying information, and is a component that functions as part of smart glasses to provide information to a user's field of vision.

[0279] "Analysis" is the process of processing acquired data to derive useful information and insights, and is the action the server uses when processing user questions and sentiment data.

[0280] "Answer generation" is the process of creating appropriate answers or suggestions for questions posed by users, and is a task performed by the server by analyzing information.

[0281] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0282] The embodiment of the present invention provides a system that combines specific hardware and software to appropriately respond to a user's questions while taking into account emotions. The system includes the following elements:

[0283] Hardware:

[0284] 1. Smart glasses: A glasses-type device worn by the user that has a display function that displays information in the user's field of vision. Smart glasses are equipped with sensors and communication modules.

[0285] 2. Server: A computer system that receives, sends, analyzes, and stores data via a network. It is responsible for analyzing the content of users' questions and emotional data, and generating appropriate answers.

[0286] 3. Terminal: A device that receives the data sent from the server and displays it on the smart glasses.

[0287] software:

[0288] 1. Emotion engine: A system that includes sensors and algorithms to recognize the user's emotions. It analyzes facial expressions and voice tone to infer the user's emotional state.

[0289] 2. Natural Language Processing (NLP) algorithms: Technology that analyzes user voice data and understands the meaning of the question.

[0290] 3. Recommendation system algorithm: A computational method that analyzes a user's past behavior and preferences to suggest the most suitable products and information.

[0291] The operation of the present system is as follows.

[0292] How to use:

[0293] When a user wears the smart glasses, the glasses use a built-in emotion engine to recognize the user's emotions in real time. The user asks a question by voice, and the voice data is sent to the terminal via the smart glasses. The terminal sends the voice data to a server, which analyzes the data with a natural language processing (NLP) algorithm to understand the question.

[0294] The server further combines the emotion data received from the emotion engine and uses the recommendation system algorithm to generate an appropriate answer. In this process, the generative AI model is utilized to generate the most suitable answer or suggestion for the user in the form of a script. The generated answer is sent to the smart glasses via the terminal and displayed in the user's field of vision.

[0295] Examples:

[0296] For example, if a user asks, "Please tell me how to use this smartphone," the smart glasses will send the voice data to the server, which will then analyze the question using a natural language processing algorithm. At the same time, the emotion engine will send the user's emotion data, such as "very interested," to the server. Based on this information, the server will use a generative AI model to generate an answer, such as "To take a photo with this smartphone, first open the camera app and then press the shutter button," and display it on the smart glasses via the device.

[0297] Example prompt:

[0298] "A user wants to learn how to use a new smartphone. Please suggest a way to capture the user's interest and teach them in an easy-to-understand way. The user is wearing smart glasses, which are equipped with an emotion engine. By utilizing the user's emotion data and gaze information, we will provide the most appropriate information in real time. For example, if the user asks, 'Please tell me how to take a photo with this smartphone,' how would you respond?"

[0299] The above-mentioned system enables flexible responses according to the user's emotions and provides personalized services. This system aims to significantly improve user satisfaction.

[0300] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0301] Step 1:

[0302] The user wears the smart glasses

[0303] Description: A user puts on a pair of smart glasses and boots up the system. The glasses are equipped with sensors that detect gaze and facial expressions, and an initialization process is performed.

[0304] Input: Smart glasses startup

[0305] Output: Initialized smart glasses

[0306] Specific operation: When a user puts on the smart glasses, a welcome message appears on the display and the sensor system is activated.

[0307] Step 2:

[0308] Emotion engine recognizes user emotions

[0309] Description: The emotion engine installed in the smart glasses analyzes the user's gaze, facial expressions, and voice tone in real time through sensors to generate emotion data.

[0310] Input: User gaze, facial expression, and voice data

[0311] Output: Parsed emotion data

[0312] Specific operation: When a user smiles, the emotion engine recognizes it as "happy" and sends the emotion data to the server.

[0313] Step 3:

[0314] The server receives the user's question.

[0315] Description: When a user speaks a question, the smart glasses capture the voice and send it to the server via the terminal. The server receives the voice data.

[0316] Input: User spoken question data

[0317] Output: Received audio data

[0318] Specific operation: When a user asks, "Teach me how to use my smartphone," the voice is sent through the smart glasses to the device and then to the server.

[0319] Step 4:

[0320] The server retrieves and analyzes the information

[0321] Description: The server uses natural language processing (NLP) to analyze the voice data received and understand the question, while simultaneously processing the information taking into account the emotion data sent from the emotion engine.

[0322] Input: User voice and emotion data

[0323] Output: Parsed question and user's emotional state

[0324] Specific operation: The server analyzes the question "How to use a smartphone" and determines the user's emotional state as "very interested."

[0325] Step 5:

[0326] Generate answers based on information and sentiment data

[0327] Description: Based on the question content and sentiment data analyzed by the server, the optimal answer is generated using a generative AI model.

[0328] Input: Analyzed question content, user emotion data

[0329] Output: Generated response data

[0330] Specific behavior: The server uses the "how to use a smartphone" and the emotion data "very interested" to generate an answer such as "To take a photo with this smartphone, first open the camera app. Then simply press the shutter button."

[0331] Step 6:

[0332] The server generates a response and sends it to the device.

[0333] Description: The server generates answer data and sends it to the device, which receives it and prepares it for display on the smart glasses.

[0334] Input: Server-generated answer data

[0335] Output: Answer data sent to the terminal

[0336] Specific operation: The server sends "explanatory text on how to take a photo" to the terminal, and the terminal receives the text data.

[0337] Step 7:

[0338] The device displays the answer on the smart glasses.

[0339] Description: The terminal displays the received answer data on the smart glasses display, allowing the user to check it in real time.

[0340] Input: Response data received

[0341] Output: Your answer shown on the smart glasses display.

[0342] What it does: The device displays the following instruction on the smart glasses display: "To take a photo with this smartphone, first open the camera app. Then simply press the shutter button."

[0343] The above are the process steps of the system and their specific operations. This process flow makes it possible to flexibly provide information tailored to the user's emotional state, enabling a more personalized service to be provided.

[0344] (Application example 2)

[0345] 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."

[0346] Conventional product recommendation systems using smart glasses lacked personalized suggestions that took into account the user's emotions, making it difficult to sufficiently increase user satisfaction. In addition, there was a lack of a means to make the product selection process for users in physical stores more interactive and efficient.

[0347] 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. In this invention, the server includes a means for receiving a user's question and acquiring information, a means for analyzing the information and generating an appropriate answer, a means for transmitting the generated answer to the terminal, a means for an emotion engine to recognize the user's emotion and adjust suggestions and answers based on the emotion, and a means for the smart glasses to display product information and suggestions using augmented reality technology. This enables personalized product recommendations and suggestions based on the user's emotion, making the shopping experience in a physical store more interactive and efficient.

[0348] "Smart glasses" are glasses that users can wear to receive product recommendations and demonstrations of how to use them, and they have the ability to display information using augmented reality technology.

[0349] An "emotion engine" is a system equipped with sensors and algorithms to recognize a user's emotions, analyze the user's emotions, and tailor answers and suggestions based on those emotions.

[0350] A "server" is a computer system that has the function of receiving a question from a user, acquiring and analyzing information, and transmitting the generated answer to a terminal.

[0351] A "terminal" is a relay or device for receiving the response sent from the server and displaying it on the smart glasses.

[0352] "Augmented reality technology" is a technology that adds virtual information to the real-world environment and displays it visually.

[0353] The "means for acquiring a question" refers to a method for acquiring a question, either vocally or visually, when a user asks a question about a product or how to use the product through the smart glasses.

[0354] "Means of obtaining information" refers to the process by which the server obtains the information needed to respond to a user's inquiry from an external database or an internal database.

[0355] "Means for analyzing information" refers to a method for performing the data processing required to generate an appropriate response based on the acquired information.

[0356] "Means of generating an answer" refers to the process of creating optimal answers or suggestions for the user based on the analyzed information.

[0357] The "means for sending a response" refers to a function for sending a response generated by the server to the terminal.

[0358] The "means for adjusting suggestions or answers" refers to a method for changing the content or expression of answers or suggestions provided based on the user's emotion data recognized by the emotion engine.

[0359] "Means for displaying product information and suggestions" refers to the function of the smart glasses using augmented reality technology to display detailed product information and suggestions in the user's field of vision.

[0360] To implement this invention, it is necessary to build a system that links smart glasses, an emotion engine, a server, and a terminal. This system uses smart glasses to recommend products and demonstrate how to use them when a user is selecting a product in a brick-and-mortar store, and also provides personalized suggestions based on the user's emotions.

[0361] Hardware and Software

[0362] Smart Glasses:

[0363] The smart glasses are equipped with a display for displaying information, a camera, a microphone, etc. The camera captures the user's facial expressions, and the microphone collects voice data.

[0364] Emotion Engine:

[0365] The emotion engine is equipped with sensors and algorithms to recognize the user's emotions and utilizes emotion recognition APIs such as Microsoft® Azure® Emotion API to analyze the user's emotion data and provide feedback in real time.

[0366] server:

[0367] The server is responsible for retrieving information, analyzing it, generating answers, and sending them to the device. This includes natural language processing (NLP) algorithms, databases, recommendation system algorithms, etc.

[0368] Device:

[0369] The terminal is responsible for communicating with the smart glasses and displaying the answer data sent from the server on the smart glasses.

[0370] Augmented Reality Technology (AR):

[0371] To display information, AR libraries such as Apple's (registered trademark) ARKit (registered trademark) and Google's (registered trademark) ARCore (registered trademark) are used.

[0372] explanation

[0373] When a user asks a question by voice through the smart glasses, the server first receives the voice data and analyzes the question using a natural language processing (NLP) algorithm. At the same time, the camera in the smart glasses captures the user's facial expressions and sends the facial expression data to the emotion engine. The emotion engine uses an emotion recognition API to analyze the user's emotions and sends the data to the server.

[0374] The server then retrieves relevant information based on the analysis results and analyzes it together with the emotion data. Based on the analysis results, it generates optimal answers and suggestions for the user. The generated answers and suggestions are then displayed on the smart glasses display via the terminal using augmented reality technology. This allows the user to obtain personalized information in real time.

[0375] Examples

[0376] If a user is browsing the wine shelves in a brick-and-mortar store and is interested in a particular wine and asks a question about it, detailed information about that wine will be displayed through the smart glasses. In addition, the glasses will recognize the user's emotions, and if the user shows a surprised expression, other similar wines will be recommended.

[0377] Example prompt:

[0378] Design an application that identifies products captured by smart glasses while the user is in the store and uses information about the products and the user's emotion data to provide personalized suggestions. Use emotion recognition APIs for emotion recognition and software that allows building augmented reality applications for AR technology.

[0379] The flow of the specific process in the application example 2 will be described with reference to FIG.

[0380] Step 1:

[0381] The user asks a question about the product by voice through the smart glasses. The voice data is picked up by the microphone of the smart glasses and transmitted to the terminal. The voice data is the input, and by transferring it, the initial data collection is completed.

[0382] Step 2:

[0383] The terminal transmits the captured voice data to the server. The server receives the voice data and converts it into text data using a voice recognition algorithm. Voice data is input and text data is output. In this process, voice data is converted into a string of characters.

[0384] Step 3:

[0385] The server uses natural language processing (NLP) algorithms to analyze the text data and understand the user's question. The text data is input, and the analyzed question (query) is output. In this step, the intent of the question is clarified.

[0386] Step 4:

[0387] The camera in the smart glasses captures the user's facial expressions and transmits them to the emotion engine in real time. The video data is the input, which becomes the input data for the emotion engine.

[0388] Step 5:

[0389] The emotion engine uses emotion recognition APIs to analyze the user's emotions. The video data is the input, and the analyzed emotion data is the output. In this process, the user's emotional state (e.g. surprise, joy, interest, etc.) is identified.

[0390] Step 6:

[0391] The server retrieves related information from the database based on the query and emotion data. The query and emotion data are input, and related information (product details, usage) is output. In this step, information corresponding to the user's needs is collected.

[0392] Step 7:

[0393] The server combines the relevant information and sentiment data and uses natural language generation (NLG) algorithms to generate personalized answers or suggestions. The relevant information and sentiment data are the input, and the personalized answers or suggestions are the output. This process creates the best possible information for the user.

[0394] Step 8:

[0395] The server then sends the generated answers or suggestions to the terminal. The personalized answers or suggestions are the input and the transmitted data is the output. In this step, the information is prepared to be delivered to the user.

[0396] Step 9:

[0397] The device displays the received answers or suggestions on the smart glasses. The transmitted data is the input, and the visual display is the output. This process actually displays the answers or suggestions in the user's field of vision.

[0398] Step 10:

[0399] The user visually checks the information displayed on the smart glasses display. The visual information display is the input, and the user's understanding and action is the output. This step allows the user to receive the information and take action based on it.

[0400] 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 a voice indicating a user input for the result of the specific processing. The control unit 46A transmits the voice 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 voice data.

[0401] 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<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 making a neural network perform deep learning. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image is input. The data generation model 58 performs inference on the input inference data according to 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.

[0402] In the above embodiment, an example has been given in which the specific process is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0403] [Second embodiment]

[0404] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0405] 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.

[0406] 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 wide area network (WAN) and / or a local area network (LAN).

[0407] 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.

[0408] 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 the voice according to instructions from the processor 46.

[0409] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a 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 (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of an average healthy person).

[0410] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54. The transmission and reception of various types of information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is performed in a secure state.

[0411] Fig. 4 shows an example of 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.

[0412] 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.

[0413] 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.

[0414] 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.

[0415] 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 a "server" and the smart glasses 214 will be referred to as a "terminal".

[0416] An embodiment for implementing the present invention includes the following elements.

[0417] 1. Smart Glasses

[0418] Smart glasses are glasses that users wear to receive product recommendations and usage demonstrations.

[0419] Smart glasses can display information using AR technology.

[0420] 2. Server

[0421] The server receives queries from users and performs processes to obtain and analyze information.

[0422] The server runs programs that respond immediately to user questions and generate appropriate answers.

[0423] 3. Terminal

[0424] The terminal is responsible for receiving the answer sent by the server and displaying the answer on the display of the smart glasses.

[0425] The terminal is responsible for communicating with the smart glasses and providing an interface for the user to check questions and answers.

[0426] 4.Information analysis

[0427] The server analyzes the information acquired by the smart glasses worn by the user and information about the user's situation.

[0428] Machine learning and data analysis techniques are used for information analysis.

[0429] 5.Answer generation

[0430] Based on the results of the information analysis, the server responds immediately to the user's questions and generates appropriate answers.

[0431] Natural language processing and recommendation system algorithms are used to generate answers.

[0432] 6.Providing detailed product information and tool usage information

[0433] The server provides the user with detailed product information and instructions on how to use the tools through smart glasses worn by the user.

[0434] The provided information is displayed on the display of the smart glasses, allowing the user to obtain the information intuitively.

[0435] The above elements are combined to form an embodiment of the present invention, which allows users to easily receive product recommendations and usage demonstrations through smart glasses, making daily life more convenient.

[0436] The process flow will be explained below.

[0437] Step 1: User Asks a Question

[0438] Subject: User

[0439] Specific actions: The user asks questions about the product and how to use it through the smart glasses.

[0440] Step 2: The server receives the query

[0441] Subject: Server

[0442] Specific actions: The server receives the user's query and retrieves the information for processing. Step 3: The server analyzes the information

[0443] Subject: Server

[0444] Specific operation: The server analyzes the information acquired by the smart glasses worn by the user and information about the user's situation.

[0445] Step 4: The server generates the answer

[0446] Subject: Server

[0447] Specific operation: Based on the analysis results, the server responds immediately to the user's question and generates an appropriate answer.

[0448] Step 5: The server sends the response to the device

[0449] Subject: Server

[0450] Specific operation: The server sends the generated response to the terminal.

[0451] Step 6: The device receives the response

[0452] Subject: Terminal

[0453] Specific operation: The terminal receives the response sent from the server.

[0454] Step 7: The device will display the answer

[0455] Subject: Terminal

[0456] Specific operation: The device displays the received answer on the display of the smart glasses.

[0457] Step 8: User confirms answers

[0458] Subject: User

[0459] Specific actions: The user checks the answer displayed on the display of the smart glasses.

[0460] Output Condition:

[0461] Step 1: The user asks a question about the product or how to use it through the smart glasses.

[0462] Step 2: The server receives the user's query and retrieves the information.

[0463] Step 3: The server analyzes the information.

[0464] Step 4: The server generates an appropriate answer based on the analysis results.

[0465] Step 5: The server sends the response to the device.

[0466] Step 6: The device receives the response.

[0467] Step 7: The device displays the answer on the smart glasses display.

[0468] Step 8: The user checks the answer displayed on the smart glasses display.

[0469] Example 1

[0470] Next, a description will be given of Example 1. In the following description, the data processing device 12 is referred to as a "server" and the smart glasses 214 are referred to as a "terminal".

[0471] In modern daily life, there is a demand for a means for users to easily and quickly obtain information on recommendations for items they need and details on how to operate them. In particular, there is an increasing need for a system that can provide information in a visually easy-to-understand manner in real time. Conventional methods require users to search the Internet or follow many steps, which is lacking in operability and convenience. The present invention aims to solve this problem and provide a system that allows users to intuitively obtain information.

[0472] 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.

[0473] In this invention, the server includes a system for providing product recommendations and operation method demonstrations in daily life through a smart device worn by a user. This includes a means for acquiring questions from a user about products and operation methods through the smart device, a means for the server to receive the questions from the user and collect information, a means for the server to analyze the collected information, a means for the server to generate an appropriate answer based on the analysis result, a means for the server to transmit the answer generated by the server to a terminal, and a means for the terminal to receive the answer and display the answer on a display of the smart device. This allows a user to intuitively and quickly obtain the information he or she needs.

[0474] "User" refers to an individual who uses the various functions of the system.

[0475] A "smart device" refers to an electronic device that has augmented reality technology and interface functions and can be operated intuitively by users.

[0476] "Item" refers to a general object such as a product or tool that a user considers using or purchasing.

[0477] "Instructions" refers to information that provides procedures or techniques for using a particular item.

[0478] A "question" refers to an inquiry that a user makes to the server via their smart device to convey information they would like to know or confirm.

[0479] A "server" refers to a computer system that processes data and provides information via a network.

[0480] "Information gathering" refers to the process by which the server gathers the data needed to derive an answer to the user's question.

[0481] "Analysis" refers to the process of processing data and extracting meaning from collected information.

[0482] An "answer" refers to information that provides an appropriate answer to a user's question.

[0483] A "terminal" refers to an electronic device that receives information sent from a server and displays it to the user.

[0484] "Display" refers to a screen installed in a terminal for displaying visual information to a user.

[0485] The present invention relates to a system that allows users to intuitively receive product recommendations and demonstrations of operation methods in their daily lives. This system is composed of a smart device worn by the user, a server that processes and analyzes information, and a terminal that displays the information.

[0486] First, the user wears a smart device. The smart device receives questions through the user's voice input or tap operation and transmits the information to a server. The smart device is equipped with voice recognition software and augmented reality technology, which allows the user to input questions naturally.

[0487] Next, the server receives the question submitted by the user. The server converts the voice data into text and analyzes the intent of the question using a natural language processing toolkit (e.g., NLTK, SpaCy). Based on the analysis result, the server collects relevant information from a database or external APIs. The collected information is analyzed using machine learning algorithms (e.g., Scikit-learn).

[0488] The server generates answers using generative AI models (e.g. ChatGPT) based on the analysis results. The generated answers are expressed in natural language format, making them easy for users to understand.

[0489] The server then sends the generated answer to the terminal, which receives the answer and displays it on the display of a smart device. The terminal is a common electronic device such as a smartphone or tablet, so that the user can visually check the answer.

[0490] As a concrete example, consider the case where a user asks, "How do I use this knife?" The server receives this question, converts it to text, and then uses NLTK to extract the keywords "knife" and "usage". Next, it collects information from relevant databases, analyzes the data using Scikit-learn, and selects the optimal usage procedure. Using a generative AI model (ChatGPT), it generates a specific answer: "To use a knife, follow these steps: 1. Hold the tip of the blade in place and pull it towards you. 2. ...". The answer is then displayed on the smart device's display via the terminal.

[0491] Example prompt:

[0492] "Please tell me how to use this knife."

[0493] In this way, users can intuitively and quickly obtain the information they need, making their daily lives more convenient.

[0494] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0495] Step 1:

[0496] A user wears a smart device and asks a question by voice input or tapping. For example, a user may say, "Please tell me how to use this knife." The smart device captures the user's voice and obtains the voice data.

[0497] Input: Audio data

[0498] Output: Acquire audio data

[0499] Step 2:

[0500] The smart device transmits the captured voice data to the server, which receives the voice data and converts it into text data using voice recognition software.

[0501] Input: Audio data

[0502] Output: Text data

[0503] Step 3:

[0504] The server analyzes the converted text data using a natural language processing toolkit (e.g., NLTK, SpaCy). This allows the intent of the question and key keywords to be extracted. For example, "knife" and "how to use" are extracted.

[0505] Input: Text data

[0506] Output: Keywords (e.g. "knife", "how to use")

[0507] Step 4:

[0508] The server collects relevant data based on the extracted keywords, and information on knife usage is collected from databases and external APIs. This collection involves multiple requests and data references.

[0509] Input:keyword

[0510] Output: Collecting relevant information

[0511] Step 5:

[0512] The server analyzes the collected data using machine learning algorithms (e.g., Scikit-learn). This allows it to select the answer that best suits the user's needs, for example by taking into account past inquiries and behavioral history.

[0513] Input: Collected data

[0514] Output: Analysis results

[0515] Step 6:

[0516] The server uses a generative AI model (e.g. ChatGPT) to generate a specific answer based on the analysis results. For example, the answer generated is "To use a knife, follow these steps: 1. Hold the blade at a fixed position and pull it toward you. 2. ..."

[0517] Input: Analysis results

[0518] Output: The generated answer

[0519] Step 7:

[0520] The server sends the generated answer to the terminal. The terminal then sends the received answer to the smart device and displays it on the display. The user can check the answer through the display of the smart device.

[0521] Input: Generated Answer

[0522] Output: Answer shown on the display

[0523] (Application example 1)

[0524] 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".

[0525] Conventional information provision systems using smart glasses have the problem that the answers to questions about products from users are limited, and detailed product information and usage instructions are insufficient. In addition, since there is no mechanism for providing an interactive user experience, it is difficult to improve the quality of customer service in physical stores. This makes it difficult to improve customer satisfaction and promote sales effectively.

[0526] 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.

[0527] In this invention, the server includes a means for acquiring questions about products and usage through the smart glasses by the user, a means for acquiring information, a means for analyzing the information and generating an appropriate answer, a means for transmitting the generated answer to the terminal, a means for the terminal to receive the answer and display the answer on the display of the smart glasses, and a means for the terminal to acquire additional information about the product using the generative AI model and display the information on the display of the smart glasses, thereby making it possible to provide detailed and appropriate product information and usage demonstrations in real time.

[0528] "Smart glasses" are glasses that users wear to receive product recommendations and demonstrations of how to use them, and are a device that displays information using AR technology.

[0529] A "server" is a central processing unit that receives queries from users, acquires information, analyzes it, generates appropriate responses, and transmits them to terminals.

[0530] The "terminal" is a device that receives the answer sent from the server and displays it on the display of the smart glasses.

[0531] A "generative AI model" is an artificial intelligence model used to generate appropriate answers and additional information to user questions, and uses algorithms such as natural language processing and machine learning.

[0532] A "prompt" is a textual instruction that is input into a generative AI model and acts as a guideline for generating an appropriate answer.

[0533] "Product Information" means detailed data about a particular product, including its features, uses, benefits, etc.

[0534] A "demonstration" is a method of visually explaining how to use a product and its effects, making it easier for users to intuitively understand.

[0535] An embodiment for implementing the present invention includes the following elements.

[0536] 1. Smart Glasses

[0537] Smart glasses are devices that users wear to receive product recommendations and usage demonstrations, and display information using augmented reality (AR) technology, allowing users to simultaneously view real-world visual information and digital information.

[0538] 2. Server

[0539] The server is a central processing unit for realizing the following functions:

[0540] To acquire questions about a product and how to use the product through the smart glasses by a user.

[0541] Analyze the question and obtain information to generate an appropriate answer.

[0542] A generative AI model is used to generate appropriate additional information based on the generated answers.

[0543] The generated additional information is sent to the terminal.

[0544] 3. Terminal

[0545] A terminal is a device that is responsible for the following functions:

[0546] The answer sent from the server is received and displayed on the smart glasses display.

[0547] Upon request from the server, the generative AI model is used to obtain additional information about the product and display it on the smart glasses.

[0548] 4. Generative AI Models

[0549] A generative AI model is an artificial intelligence model used to generate appropriate answers and additional information to user questions, and uses natural language processing and machine learning algorithms.

[0550] 5. Prompt Sentence

[0551] Prompts are textual instructions that are input to a generative AI model and act as guidelines for generating appropriate answers.

[0552] Example: "You are in a store, explaining products to customers. The customer asks the question: 'What are the features of this product?' How would you explain it?"

[0553] Hardware and Software Configuration

[0554] The system configuration for implementing this is shown below.

[0555] Hardware:

[0556] Smart glasses: worn by the user and used as a display.

[0557] Server: Receives the user's question, analyzes and processes the information.

[0558] Terminal: Responsible for communication between the server and the smart glasses.

[0559] software:

[0560] Augmented Reality (AR) SDK: Software for displaying information on the display of smart glasses.

[0561] Natural Language Processing (NLP) libraries: Used by generative AI models to generate accurate answers.

[0562] Machine learning: Used as a technique for analyzing questions and generating answers.

[0563] Generative AI models (e.g. ChatGPT): responsible for rich vocabulary text generation.

[0564] Examples

[0565] If a user wears smart glasses and walks into a brick-and-mortar store and asks about a particular product, “What are the features of this product?”

[0566] 1. The server receives this question and performs an analysis.

[0567] 2. Based on the analysis results, a generative AI model is used to generate detailed product information.

[0568] 3. The server sends detailed product information to the terminal, which then displays it on the smart glasses display.

[0569] In this way, the system of the present invention allows users to receive detailed and appropriate product information and usage demonstrations in real time.

[0570] The flow of the specific process in the application example 1 will be described with reference to FIG.

[0571] Step 1: A user puts on the smart glasses and inputs a question about the product.

[0572] Input: A user asks the smart glasses a question: "What are the features of this product?"

[0573] Output: The user's question is sent to the server through the smart glasses.

[0574] Step 2: The server receives the user's question and analyzes the question.

[0575] Input: User question sent from smart glasses: "What are the features of this product?"

[0576] Output: Analysis of the question (based on natural language processing)

[0577] Step 3: The server uses the generative AI model to generate an appropriate answer.

[0578] Input: Prompt text based on analysis results: "Please tell me about the features of this product."

[0579] Output: Detailed product feature answer text generated by a generative AI model (e.g. ChatGPT)

[0580] Step 4: The server sends the generated answer to the terminal.

[0581] Input: Answer text of product features generated by generative AI model

[0582] Output: The answer text is sent to the terminal.

[0583] Step 5: The terminal receives the answer text and displays it on the display of the smart glasses.

[0584] Input: Answer text sent from the server

[0585] Output: Text information of product features displayed on the smart glasses display

[0586] Step 6: The device uses the generative AI model to obtain additional information about the product.

[0587] Input: User's question and basic information, and the prompt for the generated AI model: "Please tell me more about this product."

[0588] Output: Text with additional information generated by the generative AI model

[0589] Step 7: The device displays the additional information on the smart glasses display.

[0590] Input: Text of additional information generated by the generative AI model

[0591] Output: Text information for additional information displayed on the smart glasses display

[0592] Through this series of processes, users can receive detailed and appropriate product information and usage demonstrations in real time.

[0593] In addition, 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.

[0594] An embodiment for implementing the present invention includes the following elements.

[0595] 1. Smart Glasses

[0596] The smart glasses are glasses that users wear to receive product recommendations and usage demonstrations, and are combined with an emotion engine.

[0597] Smart glasses can display information using AR technology.

[0598] 2. Emotion Engine

[0599] The emotion engine is a system equipped with sensors and algorithms to recognize the user's emotions and plays a role in analyzing the user's emotions.

[0600] The emotion engine can tailor answers and suggestions to suit the user's emotions.

[0601] 3. Server

[0602] The server receives queries from users and performs processes to obtain and analyze information.

[0603] The server obtains the user's emotion information recognized by the emotion engine and adjusts answers and suggestions to match the user's emotions.

[0604] 4. Terminal

[0605] The terminal is responsible for receiving the answer sent by the server and displaying the answer on the display of the smart glasses.

[0606] The terminal is responsible for communicating with the smart glasses and providing an interface for the user to check questions and answers.

[0607] 5. Information analysis and answer generation

[0608] The server analyzes information acquired by the smart glasses worn by the user and information about the user's situation, and combines this information with the user's emotional information recognized by the emotion engine to generate an answer.

[0609] Natural language processing and recommendation system algorithms are used to generate answers, generating appropriate answers and suggestions that match the user's emotions.

[0610] The above elements are combined to construct an embodiment of the present invention, which not only allows users to receive product recommendations and usage demonstrations through smart glasses, but also recognizes the user's emotions through the emotion engine and adjusts answers and suggestions to match the user's emotions, thereby providing more personalized services and improving user satisfaction.

[0611] The process flow will be explained below.

[0612] Step 1: User Asks a Question

[0613] Subject: User

[0614] Specific actions: The user asks questions about the product and how to use it through the smart glasses.

[0615] Step 2: Smart glasses recognize user emotions

[0616] Subject:Smart glasses

[0617] Specific operation: The smart glasses use sensors to recognize the user's emotions and analyze the user's facial expressions, tone of voice, etc. using the built-in emotion engine.

[0618] Step 3: The server receives the query

[0619] Subject: Server

[0620] Specific actions: The server receives the user's query and retrieves the information for processing. Step 4: The server analyzes the information

[0621] Subject: Server

[0622] Specific operation: The server analyzes the information acquired by the smart glasses worn by the user and information about the user's situation. It also acquires the user's emotion information recognized by the emotion engine. Step 5: The server generates an answer

[0623] Subject: Server

[0624] Specific operation: Based on the analysis results, the server immediately responds to the user's question and generates an appropriate answer. The answer is adjusted taking into account the user's emotional information recognized by the emotion engine.

[0625] Step 6: The server sends the response to the device

[0626] Subject: Server

[0627] Specific operation: The server sends the generated response to the terminal.

[0628] Step 7: The device receives the response

[0629] Subject: Terminal

[0630] Specific operation: The terminal receives the response sent from the server.

[0631] Step 8: The device will display the answer

[0632] Subject: Terminal

[0633] Specific operation: The device displays the received answer on the smart glasses display, and adjusts the display style and tone of the answer based on the user's emotional information recognized by the emotion engine.

[0634] Step 9: User confirms answers

[0635] Subject: User

[0636] Specific operation: The user checks the answer displayed on the smart glasses display. The answer is adjusted to the user's emotions and appropriate feedback is provided.

[0637] Output Condition:

[0638] Step 1: The user asks a question about the product or how to use it through the smart glasses.

[0639] Step 2: The smart glasses recognize the user's emotions.

[0640] Step 3: The server receives the user's query and retrieves the information.

[0641] Step 4: The server analyzes the information.

[0642] Step 5: The server generates an appropriate answer based on the analysis results.

[0643] Step 6: The server sends the response to the terminal.

[0644] Step 7: The device receives the response.

[0645] Step 8: The device displays the answer on the smart glasses display.

[0646] Step 9: The user checks the answer displayed on the smart glasses display.

[0647] Example 2

[0648] Next, a description will be given of Example 2. In the following description, the data processing device 12 is referred to as a "server" and the smart glasses 214 are referred to as a "terminal".

[0649] Conventional product recommendation systems using smart glasses simply provide information without considering the user's emotional state. This makes it difficult to provide personalized services because the system is unable to respond flexibly to the user's emotions. In addition, if the user is not emotionally calm, inappropriate answers are displayed, which reduces the user's satisfaction.

[0650] 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.

[0651] In this invention, the server includes a means for acquiring questions from the user about products and how to use them through the smart glasses, a means for the server to receive the questions from the user and acquire information, a means for recognizing the user's emotions using an emotion engine and acquiring emotion data, a means for analyzing the information and emotion data acquired by the server and generating an appropriate answer, a means for transmitting the answer generated by the server to a terminal, and a means for the terminal to receive the answer and display the answer on the display of the smart glasses. This makes it possible to flexibly provide information according to the user's emotional state, and to provide personalized services. In addition, by providing appropriate answers and suggestions according to the user's emotions, the user's satisfaction can be improved.

[0652] "Smart glasses" are a technical device that is a glasses-type device equipped with a display function that displays information in the user's field of vision, and also has built-in sensors and communication modules.

[0653] An "emotion engine" is a system that includes sensors and algorithms for recognizing a user's emotions, and is a technology that grasps the user's emotional state and performs data analysis based on that.

[0654] A "server" is a computer system that receives, transmits, analyzes, and stores data via a network, and in this invention, it is a device that plays a central role in processing queries from users and providing necessary information.

[0655] A "terminal" is a device that receives data sent from the server and displays it to the user, and is a device that communicates with the smart glasses and provides information in real time.

[0656] "Natural language processing" is a technology that enables computers to understand and analyze human language, and is used to analyze the meaning of questions posed by users.

[0657] A "recommendation system algorithm" is a computational method for analyzing a user's past behavior and preferences to suggest optimal products and information, and is a technology used in this invention to make appropriate suggestions to the user.

[0658] A "display" is a screen or display device for visually displaying information, and is a component that functions as part of smart glasses to provide information to a user's field of vision.

[0659] "Analysis" is the process of processing acquired data to derive useful information and insights, and is the action the server uses when processing user questions and sentiment data.

[0660] "Answer generation" is the process of creating appropriate answers or suggestions for questions posed by users, and is a task performed by the server by analyzing information.

[0661] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0662] The embodiment of the present invention provides a system that combines specific hardware and software to appropriately respond to a user's questions while taking into account emotions. The system includes the following elements:

[0663] Hardware:

[0664] 1. Smart glasses: A glasses-type device worn by the user that has a display function that displays information in the user's field of vision. Smart glasses are equipped with sensors and communication modules.

[0665] 2. Server: A computer system that receives, sends, analyzes, and stores data via a network. It is responsible for analyzing the content of users' questions and emotional data, and generating appropriate answers.

[0666] 3. Terminal: A device that receives the data sent from the server and displays it on the smart glasses.

[0667] software:

[0668] 1. Emotion Engine: A system that includes sensors and algorithms to recognize the user's emotions. It analyzes facial expressions and voice tones to infer the user's emotional state.

[0669] 2. Natural Language Processing (NLP) algorithms: Technology that analyzes user voice data and understands the meaning of the question.

[0670] 3. Recommendation system algorithm: A computational method that analyzes a user's past behavior and preferences to suggest the most suitable products and information.

[0671] The operation of the present system is as follows.

[0672] How to use:

[0673] When a user wears the smart glasses, the glasses use a built-in emotion engine to recognize the user's emotions in real time. The user asks a question by voice, and the voice data is sent to the terminal via the smart glasses. The terminal sends the voice data to a server, which analyzes the data with a natural language processing (NLP) algorithm to understand the question.

[0674] The server further combines the emotion data received from the emotion engine and uses the recommendation system algorithm to generate an appropriate answer. In this process, the generative AI model is utilized to generate the most suitable answer or suggestion for the user in the form of a script. The generated answer is sent to the smart glasses via the terminal and displayed in the user's field of vision.

[0675] Examples:

[0676] For example, if a user asks, "Please tell me how to use this smartphone," the smart glasses will send the voice data to the server, which will then analyze the question using a natural language processing algorithm. At the same time, the emotion engine will send the user's emotion data, such as "very interested," to the server. Based on this information, the server will use a generative AI model to generate an answer, such as "To take a photo with this smartphone, first open the camera app and then press the shutter button," and display it on the smart glasses via the device.

[0677] Example prompt:

[0678] "A user wants to learn how to use a new smartphone. Please suggest a way to capture the user's interest and teach them in an easy-to-understand way. The user is wearing smart glasses, which are equipped with an emotion engine. By utilizing the user's emotion data and gaze information, we will provide the most appropriate information in real time. For example, if the user asks, 'Please tell me how to take a photo with this smartphone,' how would you respond?"

[0679] The above-mentioned system enables flexible responses according to the user's emotions and provides personalized services. This system aims to significantly improve user satisfaction.

[0680] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0681] Step 1:

[0682] The user wears the smart glasses

[0683] Description: A user puts on a pair of smart glasses and boots up the system. The glasses are equipped with sensors that detect gaze and facial expressions, and an initialization process is performed.

[0684] Input: Smart glasses startup

[0685] Output: Initialized smart glasses

[0686] Specific operation: When a user puts on the smart glasses, a welcome message appears on the display and the sensor system is activated.

[0687] Step 2:

[0688] Emotion engine recognizes user emotions

[0689] Description: The emotion engine installed in the smart glasses analyzes the user's gaze, facial expressions, and voice tone in real time through sensors to generate emotion data.

[0690] Input: User gaze, facial expression, and voice data

[0691] Output: Parsed emotion data

[0692] Specific operation: When a user smiles, the emotion engine recognizes it as "happy" and sends the emotion data to the server.

[0693] Step 3:

[0694] The server receives the user's question.

[0695] Description: When a user speaks a question, the smart glasses capture the voice and send it to the server via the terminal. The server receives the voice data.

[0696] Input: User spoken question data

[0697] Output: Received audio data

[0698] Specific operation: When a user asks, "Teach me how to use my smartphone," the voice is sent through the smart glasses to the device and then to the server.

[0699] Step 4:

[0700] The server retrieves and analyzes the information

[0701] Description: The server uses natural language processing (NLP) to analyze the voice data received and understand the question, while simultaneously processing the information taking into account the emotion data sent from the emotion engine.

[0702] Input: User voice and emotion data

[0703] Output: Parsed question and user's emotional state

[0704] Specific operation: The server analyzes the question "How to use a smartphone" and determines the user's emotional state as "very interested."

[0705] Step 5:

[0706] Generate answers based on information and sentiment data

[0707] Description: Based on the question content and sentiment data analyzed by the server, the optimal answer is generated using a generative AI model.

[0708] Input: Analyzed question content, user emotion data

[0709] Output: Generated response data

[0710] Specific behavior: The server uses the "how to use a smartphone" and the emotion data "very interested" to generate an answer such as "To take a photo with this smartphone, first open the camera app. Then simply press the shutter button."

[0711] Step 6:

[0712] The server generates a response and sends it to the device.

[0713] Description: The server generates answer data and sends it to the device, which receives it and prepares it for display on the smart glasses.

[0714] Input: Server-generated answer data

[0715] Output: Answer data sent to the terminal

[0716] Specific operation: The server sends "explanatory text on how to take a photo" to the terminal, and the terminal receives the text data.

[0717] Step 7:

[0718] The device displays the answer on the smart glasses.

[0719] Description: The terminal displays the received answer data on the smart glasses display, allowing the user to check it in real time.

[0720] Input: Response data received

[0721] Output: Your answer shown on the smart glasses display.

[0722] What it does: The device displays the following instruction on the smart glasses display: "To take a photo with this smartphone, first open the camera app. Then simply press the shutter button."

[0723] The above are the process steps of the system and their specific operations. This process flow makes it possible to flexibly provide information tailored to the user's emotional state, enabling a more personalized service to be provided.

[0724] (Application example 2)

[0725] 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".

[0726] Conventional product recommendation systems using smart glasses lacked personalized suggestions that took into account the user's emotions, making it difficult to sufficiently increase user satisfaction. In addition, there was a lack of a means to make the product selection process for users in physical stores more interactive and efficient.

[0727] 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. In this invention, the server includes a means for receiving a user's question and acquiring information, a means for analyzing the information and generating an appropriate answer, a means for transmitting the generated answer to the terminal, a means for an emotion engine to recognize the user's emotion and adjust suggestions and answers based on the emotion, and a means for the smart glasses to display product information and suggestions using augmented reality technology. This enables personalized product recommendations and suggestions based on the user's emotion, making the shopping experience in a physical store more interactive and efficient.

[0728] "Smart glasses" are glasses that users can wear to receive product recommendations and demonstrations of how to use them, and they have the ability to display information using augmented reality technology.

[0729] An "emotion engine" is a system equipped with sensors and algorithms to recognize a user's emotions, analyze the user's emotions, and tailor answers and suggestions based on those emotions.

[0730] A "server" is a computer system that has the function of receiving a question from a user, acquiring and analyzing information, and transmitting the generated answer to a terminal.

[0731] A "terminal" is a relay or device for receiving the response sent from the server and displaying it on the smart glasses.

[0732] "Augmented reality technology" is a technology that adds virtual information to the real-world environment and displays it visually.

[0733] The "means for acquiring a question" refers to a method for acquiring a question, either vocally or visually, when a user asks a question about a product or how to use the product through the smart glasses.

[0734] "Means of obtaining information" refers to the process by which the server obtains the information needed to respond to a user's inquiry from an external database or an internal database.

[0735] "Means for analyzing information" refers to a method for performing the data processing required to generate an appropriate response based on the acquired information.

[0736] "Means of generating an answer" refers to the process of creating optimal answers or suggestions for the user based on the analyzed information.

[0737] The "means for sending a response" refers to a function for sending a response generated by the server to the terminal.

[0738] The "means for adjusting suggestions or answers" refers to a method for changing the content or expression of answers or suggestions provided based on the user's emotion data recognized by the emotion engine.

[0739] "Means for displaying product information and suggestions" refers to the function of the smart glasses using augmented reality technology to display detailed product information and suggestions in the user's field of vision.

[0740] To implement this invention, it is necessary to build a system that links smart glasses, an emotion engine, a server, and a terminal. This system uses smart glasses to recommend products and demonstrate how to use them when a user is selecting a product in a brick-and-mortar store, and also provides personalized suggestions based on the user's emotions.

[0741] Hardware and Software

[0742] Smart Glasses:

[0743] The smart glasses are equipped with a display for displaying information, a camera, a microphone, etc. The camera captures the user's facial expressions, and the microphone collects voice data.

[0744] Emotion Engine:

[0745] The emotion engine is equipped with sensors and algorithms to recognize the user's emotions and utilizes emotion recognition APIs to analyze the user's emotion data and provide feedback in real time.

[0746] server:

[0747] The server is responsible for retrieving information, analyzing it, generating answers, and sending them to the device. This includes natural language processing (NLP) algorithms, databases, recommendation system algorithms, etc.

[0748] Device:

[0749] The terminal is responsible for communicating with the smart glasses and displaying the answer data sent from the server on the smart glasses.

[0750] Augmented Reality Technology (AR):

[0751] To display information, AR libraries such as Apple's ARKit and Google's ARCore are used.

[0752] explanation

[0753] When a user asks a question by voice through the smart glasses, the server first receives the voice data and analyzes the question using a natural language processing (NLP) algorithm. At the same time, the camera in the smart glasses captures the user's facial expressions and sends the facial expression data to the emotion engine. The emotion engine uses an emotion recognition API to analyze the user's emotions and sends the data to the server.

[0754] The server then retrieves relevant information based on the analysis results and analyzes it together with the emotion data. Based on the analysis results, it generates optimal answers and suggestions for the user. The generated answers and suggestions are then displayed on the smart glasses display via the terminal using augmented reality technology. This allows the user to obtain personalized information in real time.

[0755] Examples

[0756] If a user is browsing the wine shelves in a brick-and-mortar store and is interested in a particular wine and asks a question about it, detailed information about that wine will be displayed through the smart glasses. In addition, the glasses will recognize the user's emotions, and if the user shows a surprised expression, other similar wines will be recommended.

[0757] Example prompt:

[0758] Design an application that identifies products captured by smart glasses while the user is in the store and uses information about the products and the user's emotion data to provide personalized suggestions. Use emotion recognition APIs for emotion recognition and software that allows building augmented reality applications for AR technology.

[0759] The flow of the specific process in the application example 2 will be described with reference to FIG.

[0760] Step 1:

[0761] The user asks a question about the product by voice through the smart glasses. The voice data is picked up by the microphone of the smart glasses and transmitted to the terminal. The voice data is the input, and by transferring it, the initial data collection is completed.

[0762] Step 2:

[0763] The terminal transmits the captured voice data to the server. The server receives the voice data and converts it into text data using a voice recognition algorithm. Voice data is input and text data is output. In this process, voice data is converted into a string of characters.

[0764] Step 3:

[0765] The server uses natural language processing (NLP) algorithms to analyze the text data and understand the user's question. The text data is input, and the analyzed question (query) is output. In this step, the intent of the question is clarified.

[0766] Step 4:

[0767] The camera in the smart glasses captures the user's facial expressions and transmits them to the emotion engine in real time. The video data is the input, which becomes the input data for the emotion engine.

[0768] Step 5:

[0769] The emotion engine uses emotion recognition APIs to analyze the user's emotions. The video data is the input, and the analyzed emotion data is the output. In this process, the user's emotional state (e.g. surprise, joy, interest, etc.) is identified.

[0770] Step 6:

[0771] The server retrieves related information from the database based on the query and emotion data. The query and emotion data are input, and related information (product details, usage) is output. In this step, information corresponding to the user's needs is collected.

[0772] Step 7:

[0773] The server combines the relevant information and sentiment data and uses natural language generation (NLG) algorithms to generate personalized answers or suggestions. The relevant information and sentiment data are the input, and the personalized answers or suggestions are the output. This process creates the best possible information for the user.

[0774] Step 8:

[0775] The server then sends the generated answers or suggestions to the terminal. The personalized answers or suggestions are the input and the transmitted data is the output. In this step, the information is prepared to be delivered to the user.

[0776] Step 9:

[0777] The device displays the received answers or suggestions on the smart glasses. The transmitted data is the input, and the visual display is the output. This process actually displays the answers or suggestions in the user's field of vision.

[0778] Step 10:

[0779] The user visually checks the information displayed on the smart glasses display. The visual information display is the input, and the user's understanding and action is the output. This step allows the user to receive the information and take action based on it.

[0780] 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 a voice indicating a user input for the result of the specific processing. The control unit 46A transmits the 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.

[0781] 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 making a neural network perform deep learning. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image is input. The data generation model 58 performs inference on the input inference data according to 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.

[0782] 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 smart glasses 214.

[0783] [Third embodiment]

[0784] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0785] 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.

[0786] 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 wide area network (WAN) and / or a local area network (LAN).

[0787] 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.

[0788] 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 the voice according to instructions from the processor 46.

[0789] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a 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 (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of an average healthy person).

[0790] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54. The transmission and reception of various types of information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is performed in a secure state.

[0791] Fig. 6 shows an example of 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.

[0792] 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.

[0793] 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.

[0794] In the headset type terminal 314, 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.

[0795] 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".

[0796] An embodiment for implementing the present invention includes the following elements.

[0797] 1. Smart Glasses

[0798] Smart glasses are glasses that users wear to receive product recommendations and usage demonstrations.

[0799] Smart glasses can display information using AR technology.

[0800] 2. Server

[0801] The server receives queries from users and performs processes to obtain and analyze information.

[0802] The server runs programs that respond immediately to user questions and generate appropriate answers.

[0803] 3. Terminal

[0804] The terminal is responsible for receiving the answer sent by the server and displaying the answer on the display of the smart glasses.

[0805] The terminal is responsible for communicating with the smart glasses and providing an interface for the user to check questions and answers.

[0806] 4.Information analysis

[0807] The server analyzes the information acquired by the smart glasses worn by the user and information about the user's situation.

[0808] Machine learning and data analysis techniques are used for information analysis.

[0809] 5.Answer generation

[0810] Based on the results of the information analysis, the server responds immediately to the user's questions and generates appropriate answers.

[0811] Natural language processing and recommendation system algorithms are used to generate answers.

[0812] 6.Providing detailed product information and tool usage information

[0813] The server provides the user with detailed product information and instructions on how to use the tools through smart glasses worn by the user.

[0814] The provided information is displayed on the display of the smart glasses, allowing the user to obtain the information intuitively.

[0815] The above elements are combined to form an embodiment of the present invention, which allows users to easily receive product recommendations and usage demonstrations through smart glasses, making daily life more convenient.

[0816] The process flow will be explained below.

[0817] Step 1: User Asks a Question

[0818] Subject: User

[0819] Specific actions: The user asks questions about the product and how to use it through the smart glasses.

[0820] Step 2: The server receives the query

[0821] Subject: Server

[0822] Specific actions: The server receives the user's query and retrieves the information for processing. Step 3: The server analyzes the information

[0823] Subject: Server

[0824] Specific operation: The server analyzes the information acquired by the smart glasses worn by the user and information about the user's situation.

[0825] Step 4: The server generates the answer

[0826] Subject: Server

[0827] Specific operation: Based on the analysis results, the server responds immediately to the user's question and generates an appropriate answer.

[0828] Step 5: The server sends the response to the device

[0829] Subject: Server

[0830] Specific operation: The server sends the generated response to the terminal.

[0831] Step 6: The device receives the response

[0832] Subject: Terminal

[0833] Specific operation: The terminal receives the response sent from the server.

[0834] Step 7: The device will display the answer

[0835] Subject: Terminal

[0836] Specific operation: The device displays the received answer on the display of the smart glasses.

[0837] Step 8: User confirms answers

[0838] Subject: User

[0839] Specific actions: The user checks the answer displayed on the display of the smart glasses.

[0840] Output Condition:

[0841] Step 1: The user asks a question about the product or how to use it through the smart glasses.

[0842] Step 2: The server receives the user's query and retrieves the information.

[0843] Step 3: The server analyzes the information.

[0844] Step 4: The server generates an appropriate answer based on the analysis results.

[0845] Step 5: The server sends the response to the device.

[0846] Step 6: The device receives the response.

[0847] Step 7: The device displays the answer on the smart glasses display.

[0848] Step 8: The user checks the answer displayed on the smart glasses display.

[0849] Example 1

[0850] 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".

[0851] In modern daily life, there is a demand for a means for users to easily and quickly obtain information on recommendations for items they need and details on how to operate them. In particular, there is an increasing need for a system that can provide information in a visually easy-to-understand manner in real time. Conventional methods require users to search the Internet or follow many steps, which is lacking in operability and convenience. The present invention aims to solve this problem and provide a system that allows users to intuitively obtain information.

[0852] 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.

[0853] In this invention, the server includes a system for providing product recommendations and operation method demonstrations in daily life through a smart device worn by a user. This includes a means for acquiring questions from a user about products and operation methods through the smart device, a means for the server to receive the questions from the user and collect information, a means for the server to analyze the collected information, a means for the server to generate an appropriate answer based on the analysis result, a means for the server to transmit the answer generated by the server to a terminal, and a means for the terminal to receive the answer and display the answer on a display of the smart device. This allows a user to intuitively and quickly obtain the information he or she needs.

[0854] "User" refers to an individual who uses the various functions of the system.

[0855] A "smart device" refers to an electronic device that has augmented reality technology and interface functions and can be operated intuitively by users.

[0856] "Item" refers to a general object such as a product or tool that a user considers using or purchasing.

[0857] "Instructions" refers to information that provides procedures or techniques for using a particular item.

[0858] A "question" refers to an inquiry that a user makes to the server via their smart device to convey information they would like to know or confirm.

[0859] A "server" refers to a computer system that processes data and provides information via a network.

[0860] "Information gathering" refers to the process by which the server gathers the data needed to derive an answer to the user's question.

[0861] "Analysis" refers to the process of processing data and extracting meaning from collected information.

[0862] An "answer" refers to information that provides an appropriate answer to a user's question.

[0863] A "terminal" refers to an electronic device that receives information sent from a server and displays it to the user.

[0864] "Display" refers to a screen installed in a terminal for displaying visual information to a user.

[0865] The present invention relates to a system that allows users to intuitively receive product recommendations and demonstrations of operation methods in their daily lives. This system is composed of a smart device worn by the user, a server that processes and analyzes information, and a terminal that displays the information.

[0866] First, the user wears a smart device. The smart device obtains questions through the user's voice input or tap operation and sends the information to the server. The smart device is equipped with voice recognition software (e.g., Google Speech-to-Text API) and augmented reality technology, which allows the user to input questions naturally.

[0867] Next, the server receives the question submitted by the user. The server converts the voice data into text and analyzes the intent of the question using a natural language processing toolkit (e.g., NLTK, SpaCy). Based on the analysis result, the server collects relevant information from a database or external APIs. The collected information is analyzed using machine learning algorithms (e.g., Scikit-learn).

[0868] The server generates answers using generative AI models (e.g. ChatGPT) based on the analysis results. The generated answers are expressed in natural language format, making them easy for users to understand.

[0869] The server then sends the generated answer to the terminal, which receives the answer and displays it on the display of a smart device. The terminal is a common electronic device such as a smartphone or tablet, so that the user can visually check the answer.

[0870] As a concrete example, consider the case where a user asks, "How do I use this knife?" The server receives this question, converts it to text, and then uses NLTK to extract the keywords "knife" and "usage". Next, it collects information from relevant databases, analyzes the data using Scikit-learn, and selects the optimal usage procedure. Using a generative AI model (ChatGPT), it generates a specific answer: "To use a knife, follow these steps: 1. Hold the tip of the blade in place and pull it towards you. 2. ...". The answer is then displayed on the smart device's display via the terminal.

[0871] Example prompt:

[0872] "Please tell me how to use this knife."

[0873] In this way, users can intuitively and quickly obtain the information they need, making their daily lives more convenient.

[0874] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0875] Step 1:

[0876] A user wears a smart device and asks a question by voice input or tapping. For example, a user may say, "Please tell me how to use this knife." The smart device captures the user's voice and obtains the voice data.

[0877] Input: Audio data

[0878] Output: Acquire audio data

[0879] Step 2:

[0880] The smart device transmits the captured voice data to the server, which receives the voice data and converts it into text data using voice recognition software (e.g., Google Speech-to-Text API).

[0881] Input: Audio data

[0882] Output: Text data

[0883] Step 3:

[0884] The server analyzes the converted text data using a natural language processing toolkit (e.g., NLTK, SpaCy). This allows the intent of the question and key keywords to be extracted. For example, "knife" and "how to use" are extracted.

[0885] Input: Text data

[0886] Output: Keywords (e.g. "knife", "how to use")

[0887] Step 4:

[0888] The server collects relevant data based on the extracted keywords, and information on knife usage is collected from databases and external APIs. This collection involves multiple requests and data references.

[0889] Input:keyword

[0890] Output: Collecting relevant information

[0891] Step 5:

[0892] The server analyzes the collected data using machine learning algorithms (e.g., Scikit-learn). This allows it to select the answer that best suits the user's needs, for example by taking into account past inquiries and behavioral history.

[0893] Input: Collected data

[0894] Output: Analysis results

[0895] Step 6:

[0896] The server uses a generative AI model (e.g. ChatGPT) to generate a specific answer based on the analysis results. For example, the answer generated is "To use a knife, follow these steps: 1. Hold the blade at a fixed position and pull it toward you. 2. ..."

[0897] Input: Analysis results

[0898] Output: The generated answer

[0899] Step 7:

[0900] The server sends the generated answer to the terminal. The terminal then sends the received answer to the smart device and displays it on the display. The user can check the answer through the display of the smart device.

[0901] Input: Generated Answer

[0902] Output: Answer shown on the display

[0903] (Application example 1)

[0904] 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."

[0905] Conventional information provision systems using smart glasses have the problem that the answers to questions about products from users are limited, and detailed product information and usage instructions are insufficient. In addition, since there is no mechanism for providing an interactive user experience, it is difficult to improve the quality of customer service in physical stores. This makes it difficult to improve customer satisfaction and promote sales effectively.

[0906] 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.

[0907] In this invention, the server includes a means for acquiring questions about products and usage through the smart glasses by the user, a means for acquiring information, a means for analyzing the information and generating an appropriate answer, a means for transmitting the generated answer to the terminal, a means for the terminal to receive the answer and display the answer on the display of the smart glasses, and a means for the terminal to acquire additional information about the product using the generative AI model and display the information on the display of the smart glasses, thereby making it possible to provide detailed and appropriate product information and usage demonstrations in real time.

[0908] "Smart glasses" are glasses that users wear to receive product recommendations and demonstrations of how to use them, and are a device that displays information using AR technology.

[0909] A "server" is a central processing unit that receives queries from users, acquires information, analyzes it, generates appropriate responses, and transmits them to terminals.

[0910] The "terminal" is a device that receives the answer sent from the server and displays it on the display of the smart glasses.

[0911] A "generative AI model" is an artificial intelligence model used to generate appropriate answers and additional information to user questions, and uses algorithms such as natural language processing and machine learning.

[0912] A "prompt" is a textual instruction that is input into a generative AI model and acts as a guideline for generating an appropriate answer.

[0913] "Product Information" means detailed data about a particular product, including its features, uses, benefits, etc.

[0914] A "demonstration" is a method of visually explaining how to use a product and its effects, making it easier for users to intuitively understand.

[0915] An embodiment for implementing the present invention includes the following elements.

[0916] 1. Smart Glasses

[0917] Smart glasses are glasses worn by users to receive product recommendations and usage demonstrations, and are devices that display information using augmented reality (AR) technology, allowing users to simultaneously view real-world visual information and digital information.

[0918] 2. Server

[0919] The server is a central processing unit for realizing the following functions:

[0920] To acquire questions about a product and how to use the product through the smart glasses by a user.

[0921] Analyze the question and obtain information to generate an appropriate answer.

[0922] A generative AI model is used to generate appropriate additional information based on the generated answers.

[0923] The generated additional information is sent to the terminal.

[0924] 3. Terminal

[0925] A terminal is a device that is responsible for the following functions:

[0926] The answer sent from the server is received and displayed on the smart glasses display.

[0927] Upon request from the server, the generative AI model is used to obtain additional information about the product and display it on the smart glasses.

[0928] 4. Generative AI Models

[0929] A generative AI model is an artificial intelligence model used to generate appropriate answers and additional information to user questions, and uses natural language processing and machine learning algorithms.

[0930] 5. Prompt Sentence

[0931] Prompts are textual instructions that are input to a generative AI model and act as guidelines for generating appropriate answers.

[0932] Example: "You are in a store, explaining products to customers. The customer asks the question: 'What are the features of this product?' How would you explain it?"

[0933] Hardware and Software Configuration

[0934] The system configuration for implementing this is shown below.

[0935] Hardware:

[0936] Smart glasses: worn by the user and used as a display.

[0937] Server: Receives the user's question, analyzes and processes the information.

[0938] Terminal: Responsible for communication between the server and the smart glasses.

[0939] software:

[0940] Augmented Reality (AR) SDK: Software for displaying information on the display of smart glasses.

[0941] Natural Language Processing (NLP) libraries: Used by generative AI models to generate accurate answers.

[0942] Machine learning: Used as a technique for analyzing questions and generating answers.

[0943] Generative AI models (e.g. ChatGPT): responsible for rich vocabulary text generation.

[0944] Examples

[0945] If a user wears smart glasses and walks into a brick-and-mortar store and asks about a particular product, “What are the features of this product?”

[0946] 1. The server receives this question and performs an analysis.

[0947] 2. Based on the analysis results, a generative AI model is used to generate detailed product information.

[0948] 3. The server sends detailed product information to the terminal, which then displays it on the smart glasses display.

[0949] In this way, the system of the present invention allows users to receive detailed and appropriate product information and usage demonstrations in real time.

[0950] The flow of the specific process in the application example 1 will be described with reference to FIG.

[0951] Step 1: A user puts on the smart glasses and inputs a question about the product.

[0952] Input: A user asks the smart glasses a question: "What are the features of this product?"

[0953] Output: The user's question is sent to the server through the smart glasses.

[0954] Step 2: The server receives the user's question and analyzes the question.

[0955] Input: User question sent from smart glasses: "What are the features of this product?"

[0956] Output: Analysis of the question (based on natural language processing)

[0957] Step 3: The server uses the generative AI model to generate an appropriate answer.

[0958] Input: Prompt text based on analysis results: "Please tell me about the features of this product."

[0959] Output: Detailed product feature answer text generated by a generative AI model (e.g. ChatGPT)

[0960] Step 4: The server sends the generated answer to the terminal.

[0961] Input: Answer text of product features generated by generative AI model

[0962] Output: The answer text is sent to the terminal.

[0963] Step 5: The terminal receives the answer text and displays it on the display of the smart glasses.

[0964] Input: Answer text sent from the server

[0965] Output: Text information of product features displayed on the smart glasses display

[0966] Step 6: The device uses the generative AI model to obtain additional information about the product.

[0967] Input: User's question and basic information, and the prompt for the generated AI model: "Please tell me more about this product."

[0968] Output: Text with additional information generated by the generative AI model

[0969] Step 7: The device displays the additional information on the smart glasses display.

[0970] Input: Text of additional information generated by the generative AI model

[0971] Output: Text information for additional information displayed on the smart glasses display

[0972] Through this series of processes, users can receive detailed and appropriate product information and usage demonstrations in real time.

[0973] In addition, 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.

[0974] An embodiment for implementing the present invention includes the following elements.

[0975] 1. Smart Glasses

[0976] The smart glasses are glasses that users wear to receive product recommendations and usage demonstrations, and are combined with an emotion engine.

[0977] Smart glasses can display information using AR technology.

[0978] 2. Emotion Engine

[0979] The emotion engine is a system equipped with sensors and algorithms to recognize the user's emotions and plays a role in analyzing the user's emotions.

[0980] The emotion engine can tailor answers and suggestions to suit the user's emotions.

[0981] 3. Server

[0982] The server receives queries from users and performs processes to obtain and analyze information.

[0983] The server obtains the user's emotion information recognized by the emotion engine and adjusts answers and suggestions to match the user's emotions.

[0984] 4. Terminal

[0985] The terminal is responsible for receiving the answer sent by the server and displaying the answer on the display of the smart glasses.

[0986] The terminal is responsible for communicating with the smart glasses and providing an interface for the user to check questions and answers.

[0987] 5. Information analysis and answer generation

[0988] The server analyzes the information acquired by the smart glasses worn by the user and information about the user's situation, and combines it with the user's emotional information recognized by the emotion engine to generate an answer.

[0989] Natural language processing and recommendation system algorithms are used to generate answers, generating appropriate answers and suggestions that match the user's emotions.

[0990] The above elements are combined to construct an embodiment of the present invention, which not only allows users to receive product recommendations and usage demonstrations through smart glasses, but also recognizes the user's emotions through the emotion engine and adjusts answers and suggestions to match the user's emotions, thereby providing more personalized services and improving user satisfaction.

[0991] The process flow will be explained below.

[0992] Step 1: User Asks a Question

[0993] Subject: User

[0994] Specific actions: The user asks questions about the product and how to use it through the smart glasses.

[0995] Step 2: Smart glasses recognize user emotions

[0996] Subject:Smart glasses

[0997] Specific operation: The smart glasses use sensors to recognize the user's emotions and analyze the user's facial expressions, tone of voice, etc. using the built-in emotion engine.

[0998] Step 3: The server receives the query

[0999] Subject: Server

[1000] Specific actions: The server receives the user's query and retrieves the information for processing. Step 4: The server analyzes the information

[1001] Subject: Server

[1002] Specific operation: The server analyzes the information acquired by the smart glasses worn by the user and information about the user's situation. It also acquires the user's emotion information recognized by the emotion engine. Step 5: The server generates an answer

[1003] Subject: Server

[1004] Specific operation: Based on the analysis results, the server immediately responds to the user's question and generates an appropriate answer. The answer is adjusted taking into account the user's emotional information recognized by the emotion engine.

[1005] Step 6: The server sends the response to the device

[1006] Subject: Server

[1007] Specific operation: The server sends the generated response to the terminal.

[1008] Step 7: The device receives the response

[1009] Subject: Terminal

[1010] Specific operation: The terminal receives the response sent from the server.

[1011] Step 8: The device will display the answer

[1012] Subject: Terminal

[1013] Specific operation: The device displays the received answer on the smart glasses display, and adjusts the display style and tone of the answer based on the user's emotional information recognized by the emotion engine.

[1014] Step 9: User confirms answers

[1015] Subject: User

[1016] Specific operation: The user checks the answer displayed on the smart glasses display. The answer is adjusted to the user's emotions and appropriate feedback is provided.

[1017] Output Condition:

[1018] Step 1: The user asks a question about the product or how to use it through the smart glasses.

[1019] Step 2: The smart glasses recognize the user's emotions.

[1020] Step 3: The server receives the user's query and retrieves the information.

[1021] Step 4: The server analyzes the information.

[1022] Step 5: The server generates an appropriate answer based on the analysis results.

[1023] Step 6: The server sends the response to the terminal.

[1024] Step 7: The device receives the response.

[1025] Step 8: The device displays the answer on the smart glasses display.

[1026] Step 9: The user checks the answer displayed on the smart glasses display.

[1027] Example 2

[1028] 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".

[1029] Conventional product recommendation systems using smart glasses simply provide information without considering the user's emotional state. This makes it difficult to provide personalized services because the system is unable to respond flexibly to the user's emotions. In addition, if the user is not emotionally calm, inappropriate answers are displayed, which reduces the user's satisfaction.

[1030] 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.

[1031] In this invention, the server includes a means for acquiring questions from the user about products and how to use them through the smart glasses, a means for the server to receive the questions from the user and acquire information, a means for recognizing the user's emotions using an emotion engine and acquiring emotion data, a means for analyzing the information and emotion data acquired by the server and generating an appropriate answer, a means for transmitting the answer generated by the server to a terminal, and a means for the terminal to receive the answer and display the answer on the display of the smart glasses. This makes it possible to flexibly provide information according to the user's emotional state, and to provide personalized services. In addition, by providing appropriate answers and suggestions according to the user's emotions, the user's satisfaction can be improved.

[1032] "Smart glasses" are a technical device that is a glasses-type device equipped with a display function that displays information in the user's field of vision, and also has built-in sensors and communication modules.

[1033] An "emotion engine" is a system that includes sensors and algorithms for recognizing a user's emotions, and is a technology that grasps the user's emotional state and performs data analysis based on that.

[1034] A "server" is a computer system that receives, transmits, analyzes, and stores data via a network, and in this invention, it is a device that plays a central role in processing queries from users and providing necessary information.

[1035] A "terminal" is a device that receives data sent from the server and displays it to the user, and is a device that communicates with the smart glasses and provides information in real time.

[1036] "Natural language processing" is a technology that enables computers to understand and analyze human language, and is used to analyze the meaning of questions posed by users.

[1037] A "recommendation system algorithm" is a computational method for analyzing a user's past behavior and preferences to suggest optimal products and information, and is a technology used in this invention to make appropriate suggestions to the user.

[1038] A "display" is a screen or display device for visually displaying information, and is a component that functions as part of smart glasses to provide information to a user's field of vision.

[1039] "Analysis" is the process of processing acquired data to derive useful information and insights, and is the action the server uses when processing user questions and sentiment data.

[1040] "Answer generation" is the process of creating appropriate answers or suggestions for questions posed by users, and is a task performed by the server by analyzing information.

[1041] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[1042] The embodiment of the present invention provides a system that combines specific hardware and software to appropriately respond to a user's questions while taking into account emotions. The system includes the following elements:

[1043] Hardware:

[1044] 1. Smart glasses: A glasses-type device worn by the user that has a display function that displays information in the user's field of vision. Smart glasses are equipped with sensors and communication modules.

[1045] 2. Server: A computer system that receives, sends, analyzes, and stores data via a network. It is responsible for analyzing the content of users' questions and emotional data, and generating appropriate answers.

[1046] 3. Terminal: A device that receives the data sent from the server and displays it on the smart glasses.

[1047] software:

[1048] 1. Emotion Engine: A system that includes sensors and algorithms to recognize the user's emotions. It analyzes facial expressions and voice tones to infer the user's emotional state.

[1049] 2. Natural Language Processing (NLP) algorithms: Technology that analyzes user voice data and understands the meaning of the question.

[1050] 3. Recommendation system algorithm: A computational method that analyzes a user's past behavior and preferences to suggest the most suitable products and information.

[1051] The operation of the present system is as follows.

[1052] How to use:

[1053] When a user wears the smart glasses, the glasses use a built-in emotion engine to recognize the user's emotions in real time. The user asks a question by voice, and the voice data is sent to the terminal via the smart glasses. The terminal sends the voice data to a server, which analyzes the data with a natural language processing (NLP) algorithm to understand the question.

[1054] The server further combines the emotion data received from the emotion engine and uses the recommendation system algorithm to generate an appropriate answer. In this process, the generative AI model is utilized to generate the most suitable answer or suggestion for the user in the form of a script. The generated answer is sent to the smart glasses via the terminal and displayed in the user's field of vision.

[1055] Examples:

[1056] For example, if a user asks, "Please tell me how to use this smartphone," the smart glasses will send the voice data to the server, which will then analyze the question using a natural language processing algorithm. At the same time, the emotion engine will send the user's emotion data, such as "very interested," to the server. Based on this information, the server will use a generative AI model to generate an answer, such as "To take a photo with this smartphone, first open the camera app and then press the shutter button," and display it on the smart glasses via the device.

[1057] Example prompt:

[1058] "A user wants to learn how to use a new smartphone. Please suggest a way to capture the user's interest and teach them in an easy-to-understand way. The user is wearing smart glasses, which are equipped with an emotion engine. By utilizing the user's emotion data and gaze information, we will provide the most appropriate information in real time. For example, if the user asks, 'Please tell me how to take a photo with this smartphone,' how would you respond?"

[1059] The above-mentioned system enables flexible responses according to the user's emotions and provides personalized services. This system aims to significantly improve user satisfaction.

[1060] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1061] Step 1:

[1062] The user wears the smart glasses

[1063] Description: A user puts on a pair of smart glasses and boots up the system. The glasses are equipped with sensors that detect gaze and facial expressions, and an initialization process is performed.

[1064] Input: Smart glasses startup

[1065] Output: Initialized smart glasses

[1066] Specific operation: When a user puts on the smart glasses, a welcome message appears on the display and the sensor system is activated.

[1067] Step 2:

[1068] Emotion engine recognizes user emotions

[1069] Description: The emotion engine installed in the smart glasses analyzes the user's gaze, facial expressions, and voice tone in real time through sensors to generate emotion data.

[1070] Input: User gaze, facial expression, and voice data

[1071] Output: Parsed emotion data

[1072] Specific operation: When a user smiles, the emotion engine recognizes it as "happy" and sends the emotion data to the server.

[1073] Step 3:

[1074] The server receives the user's question.

[1075] Description: When a user speaks a question, the smart glasses capture the voice and send it to the server via the terminal. The server receives the voice data.

[1076] Input: User spoken question data

[1077] Output: Received audio data

[1078] Specific operation: When a user asks, "Teach me how to use my smartphone," the voice is sent through the smart glasses to the device and then to the server.

[1079] Step 4:

[1080] The server retrieves and analyzes the information

[1081] Description: The server uses natural language processing (NLP) to analyze the voice data received and understand the question, while simultaneously processing the information taking into account the emotion data sent from the emotion engine.

[1082] Input: User voice and emotion data

[1083] Output: Parsed question and user's emotional state

[1084] Specific operation: The server analyzes the question "How to use a smartphone" and determines the user's emotional state as "very interested."

[1085] Step 5:

[1086] Generate answers based on information and sentiment data

[1087] Description: Based on the question content and sentiment data analyzed by the server, the optimal answer is generated using a generative AI model.

[1088] Input: Analyzed question content, user emotion data

[1089] Output: Generated response data

[1090] Specific behavior: The server uses the "how to use a smartphone" and the emotion data "very interested" to generate an answer such as "To take a photo with this smartphone, first open the camera app. Then simply press the shutter button."

[1091] Step 6:

[1092] The server generates a response and sends it to the device.

[1093] Description: The server generates answer data and sends it to the device, which receives it and prepares it for display on the smart glasses.

[1094] Input: Server-generated answer data

[1095] Output: Answer data sent to the terminal

[1096] Specific operation: The server sends "explanatory text on how to take a photo" to the terminal, and the terminal receives the text data.

[1097] Step 7:

[1098] The device displays the answer on the smart glasses.

[1099] Description: The terminal displays the received answer data on the smart glasses display, allowing the user to check it in real time.

[1100] Input: Response data received

[1101] Output: Your answer shown on the smart glasses display.

[1102] What it does: The device displays the following instruction on the smart glasses display: "To take a photo with this smartphone, first open the camera app. Then simply press the shutter button."

[1103] The above are the process steps of the system and their specific operations. This process flow makes it possible to flexibly provide information tailored to the user's emotional state, enabling a more personalized service to be provided.

[1104] (Application example 2)

[1105] 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".

[1106] Conventional product recommendation systems using smart glasses lacked personalized suggestions that took into account the user's emotions, making it difficult to sufficiently increase user satisfaction. In addition, there was a lack of a means to make the product selection process for users in physical stores more interactive and efficient.

[1107] 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. In this invention, the server includes a means for receiving a user's question and acquiring information, a means for analyzing the information and generating an appropriate answer, a means for transmitting the generated answer to the terminal, a means for an emotion engine to recognize the user's emotion and adjust suggestions and answers based on the emotion, and a means for the smart glasses to display product information and suggestions using augmented reality technology. This enables personalized product recommendations and suggestions based on the user's emotion, making the shopping experience in a physical store more interactive and efficient.

[1108] "Smart glasses" are glasses that users can wear to receive product recommendations and demonstrations of how to use them, and they have the ability to display information using augmented reality technology.

[1109] An "emotion engine" is a system equipped with sensors and algorithms to recognize a user's emotions, analyze the user's emotions, and tailor answers and suggestions based on those emotions.

[1110] A "server" is a computer system that has the function of receiving a question from a user, acquiring and analyzing information, and transmitting the generated answer to a terminal.

[1111] A "terminal" is a relay or device for receiving the response sent from the server and displaying it on the smart glasses.

[1112] "Augmented reality technology" is a technology that adds virtual information to the real-world environment and displays it visually.

[1113] The "means for acquiring a question" refers to a method for acquiring a question, either vocally or visually, when a user asks a question about a product or how to use the product through the smart glasses.

[1114] "Means of obtaining information" refers to the process by which the server obtains the information needed to respond to a user's inquiry from an external database or an internal database.

[1115] "Means for analyzing information" refers to a method for performing the data processing required to generate an appropriate response based on the acquired information.

[1116] "Means of generating an answer" refers to the process of creating optimal answers or suggestions for the user based on the analyzed information.

[1117] The "means for sending a response" refers to a function for sending a response generated by the server to the terminal.

[1118] The "means for adjusting suggestions or answers" refers to a method for changing the content or expression of answers or suggestions provided based on the user's emotion data recognized by the emotion engine.

[1119] "Means for displaying product information and suggestions" refers to the function of the smart glasses using augmented reality technology to display detailed product information and suggestions in the user's field of vision.

[1120] To implement this invention, it is necessary to build a system that links smart glasses, an emotion engine, a server, and a terminal. This system uses smart glasses to recommend products and demonstrate how to use them when a user is selecting a product in a brick-and-mortar store, and also provides personalized suggestions based on the user's emotions.

[1121] Hardware and Software

[1122] Smart Glasses:

[1123] The smart glasses are equipped with a display for displaying information, a camera, a microphone, etc. The camera captures the user's facial expressions, and the microphone collects voice data.

[1124] Emotion Engine:

[1125] The emotion engine is equipped with sensors and algorithms to recognize the user's emotions and utilizes emotion recognition APIs such as Microsoft Azure Emotion API to analyze the user's emotion data and provide feedback in real time.

[1126] server:

[1127] The server is responsible for retrieving information, analyzing it, generating answers, and sending them to the device. This includes natural language processing (NLP) algorithms, databases, recommendation system algorithms, etc.

[1128] Device:

[1129] The terminal is responsible for communicating with the smart glasses and displaying the answer data sent from the server on the smart glasses.

[1130] Augmented Reality Technology (AR):

[1131] Use any AR library to display information.

[1132] explanation

[1133] When a user asks a question by voice through the smart glasses, the server first receives the voice data and analyzes the question using a natural language processing (NLP) algorithm. At the same time, the camera in the smart glasses captures the user's facial expression and sends the facial expression data to the emotion engine. The emotion engine uses an emotion recognition API to analyze the user's emotion and sends the data to the server.

[1134] The server then retrieves relevant information based on the analysis results and analyzes it together with the emotion data. Based on the analysis results, it generates optimal answers and suggestions for the user. The generated answers and suggestions are then displayed on the smart glasses display via the terminal using augmented reality technology. This allows the user to obtain personalized information in real time.

[1135] Examples

[1136] If a user is browsing the wine shelves in a brick-and-mortar store and is interested in a particular wine and asks a question about it, detailed information about that wine will be displayed through the smart glasses. In addition, the glasses will recognize the user's emotions, and if the user shows a surprised expression, other similar wines will be recommended.

[1137] Example prompt:

[1138] Design an application that identifies products captured by smart glasses while the user is in the store and uses information about the products and the user's emotion data to provide personalized suggestions. Use emotion recognition APIs for emotion recognition and software that allows building augmented reality applications for AR technology.

[1139] The flow of the specific process in the application example 2 will be described with reference to FIG.

[1140] Step 1:

[1141] The user asks a question about the product by voice through the smart glasses. The voice data is picked up by the microphone of the smart glasses and transmitted to the terminal. The voice data is the input, and by transferring it, the initial data collection is completed.

[1142] Step 2:

[1143] The terminal transmits the captured voice data to the server. The server receives the voice data and converts it into text data using a voice recognition algorithm. Voice data is input and text data is output. In this process, voice data is converted into a string of characters.

[1144] Step 3:

[1145] The server uses natural language processing (NLP) algorithms to analyze the text data and understand the user's question. The text data is input, and the analyzed question (query) is output. In this step, the intent of the question is clarified.

[1146] Step 4:

[1147] The camera in the smart glasses captures the user's facial expressions and transmits them to the emotion engine in real time. The video data is the input, which becomes the input data for the emotion engine.

[1148] Step 5:

[1149] The emotion engine uses emotion recognition APIs to analyze the user's emotions. The video data is the input, and the analyzed emotion data is the output. In this process, the user's emotional state (e.g. surprise, joy, interest, etc.) is identified.

[1150] Step 6:

[1151] The server retrieves related information from the database based on the query and emotion data. The query and emotion data are input, and related information (product details, usage) is output. In this step, information corresponding to the user's needs is collected.

[1152] Step 7:

[1153] The server combines the relevant information and sentiment data and uses natural language generation (NLG) algorithms to generate personalized answers or suggestions. The relevant information and sentiment data are the input, and the personalized answers or suggestions are the output. This process creates the best possible information for the user.

[1154] Step 8:

[1155] The server then sends the generated answers or suggestions to the terminal. The personalized answers or suggestions are the input and the transmitted data is the output. In this step, the information is prepared to be delivered to the user.

[1156] Step 9:

[1157] The device displays the received answers or suggestions on the smart glasses. The transmitted data is the input, and the visual display is the output. This process actually displays the answers or suggestions in the user's field of vision.

[1158] Step 10:

[1159] The user visually checks the information displayed on the smart glasses display. The visual information display is the input, and the user's understanding and action is the output. This step allows the user to receive the information and take action based on it.

[1160] 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 voice indicating a user input for 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.

[1161] 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 making a neural network perform deep learning. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image is input. The data generation model 58 performs inference on the input inference data according to 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.

[1162] 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.

[1163] [Fourth embodiment]

[1164] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1165] 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.

[1166] 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 wide area network (WAN) and / or a local area network (LAN).

[1167] 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. In addition, the microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1168] 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 the voice according to instructions from the processor 46.

[1169] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a 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 (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of an average healthy person).

[1170] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54. The transmission and reception of various types of information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is performed in a secure state.

[1171] The control target 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, legs, etc. The posture and behavior of the robot 414 are controlled by controlling the motors of the arms, hands, legs, etc. 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.

[1172] Fig. 8 shows an example of 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.

[1173] 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.

[1174] 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.

[1175] In the robot 414, 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.

[1176] Next, a description will be given of the specific processing 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".

[1177] An embodiment for implementing the present invention includes the following elements.

[1178] 1. Smart Glasses

[1179] Smart glasses are glasses that users wear to receive product recommendations and usage demonstrations.

[1180] Smart glasses can display information using AR technology.

[1181] 2. Server

[1182] The server receives queries from users and performs processes to obtain and analyze information.

[1183] The server runs programs that react immediately to the user's questions and generate appropriate answers.

[1184] 3. Terminal

[1185] The terminal is responsible for receiving the answer sent by the server and displaying the answer on the display of the smart glasses.

[1186] The terminal is responsible for communicating with the smart glasses and providing an interface for the user to check questions and answers.

[1187] 4.Information analysis

[1188] The server analyzes the information acquired by the smart glasses worn by the user and information about the user's situation.

[1189] Machine learning and data analysis techniques are used for information analysis.

[1190] 5.Answer generation

[1191] Based on the results of the information analysis, the server responds immediately to the user's questions and generates appropriate answers.

[1192] Natural language processing and recommendation system algorithms are used to generate answers.

[1193] 6.Providing detailed product information and tool usage information

[1194] The server provides the user with detailed product information and instructions on how to use the tools through smart glasses worn by the user.

[1195] The provided information is displayed on the display of the smart glasses, allowing the user to obtain the information intuitively.

[1196] The above elements are combined to form an embodiment of the present invention, which allows users to easily receive product recommendations and usage demonstrations through smart glasses, making daily life more convenient.

[1197] The process flow will be explained below.

[1198] Step 1: User Asks a Question

[1199] Subject: User

[1200] Specific actions: The user asks questions about the product and how to use it through the smart glasses.

[1201] Step 2: The server receives the query

[1202] Subject: Server

[1203] Specific actions: The server receives the user's query and retrieves the information for processing. Step 3: The server analyzes the information

[1204] Subject: Server

[1205] Specific operation: The server analyzes the information acquired by the smart glasses worn by the user and information about the user's situation.

[1206] Step 4: The server generates the answer

[1207] Subject: Server

[1208] Specific operation: Based on the analysis results, the server responds immediately to the user's question and generates an appropriate answer.

[1209] Step 5: The server sends the response to the device

[1210] Subject: Server

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

[1212] Step 6: The device receives the response

[1213] Subject: Terminal

[1214] Specific operation: The terminal receives the response sent from the server.

[1215] Step 7: The device will display the answer

[1216] Subject: Terminal

[1217] Specific operation: The device displays the received answer on the display of the smart glasses.

[1218] Step 8: User confirms answers

[1219] Subject: User

[1220] Specific actions: The user checks the answer displayed on the display of the smart glasses.

[1221] Output Condition:

[1222] Step 1: The user asks a question about the product or how to use it through the smart glasses.

[1223] Step 2: The server receives the user's query and retrieves the information.

[1224] Step 3: The server analyzes the information.

[1225] Step 4: The server generates an appropriate answer based on the analysis results.

[1226] Step 5: The server sends the response to the device.

[1227] Step 6: The device receives the response.

[1228] Step 7: The device displays the answer on the smart glasses display.

[1229] Step 8: The user checks the answer displayed on the smart glasses display.

[1230] Example 1

[1231] Next, a description will be given of Example 1. In the following description, the data processing device 12 is referred to as a "server" and the robot 414 is referred to as a "terminal."

[1232] In modern daily life, there is a demand for a means for users to easily and quickly obtain information on recommendations for items they need and details on how to operate them. In particular, there is an increasing need for a system that can provide information in a visually easy-to-understand manner in real time. Conventional methods require users to search the Internet or follow many steps, which is lacking in operability and convenience. The present invention aims to solve this problem and provide a system that allows users to intuitively obtain information.

[1233] 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.

[1234] In this invention, the server includes a system for providing product recommendations and operation method demonstrations in daily life through a smart device worn by a user. This includes a means for acquiring questions from a user about products and operation methods through the smart device, a means for the server to receive the questions from the user and collect information, a means for the server to analyze the collected information, a means for the server to generate an appropriate answer based on the analysis result, a means for the server to transmit the answer generated by the server to a terminal, and a means for the terminal to receive the answer and display the answer on a display of the smart device. This allows a user to intuitively and quickly obtain the information he or she needs.

[1235] "User" refers to an individual who uses the various functions of the system.

[1236] A "smart device" refers to an electronic device that has augmented reality technology and interface functions and can be operated intuitively by users.

[1237] "Item" refers to a general object such as a product or tool that a user considers using or purchasing.

[1238] "Instructions" refers to information that provides procedures or techniques for using a particular item.

[1239] A "question" refers to an inquiry that a user makes to the server via their smart device to convey information they would like to know or confirm.

[1240] A "server" refers to a computer system that processes data and provides information via a network.

[1241] "Information gathering" refers to the process by which the server gathers the data needed to derive an answer to the user's question.

[1242] "Analysis" refers to the process of processing data and extracting meaning from collected information.

[1243] An "answer" refers to information that provides an appropriate answer to a user's question.

[1244] A "terminal" refers to an electronic device that receives information sent from a server and displays it to the user.

[1245] "Display" refers to a screen installed in a terminal for displaying visual information to a user.

[1246] The present invention relates to a system that allows users to intuitively receive product recommendations and demonstrations of operation methods in their daily lives. This system is composed of a smart device worn by the user, a server that processes and analyzes information, and a terminal that displays the information.

[1247] First, the user wears a smart device. The smart device obtains questions through the user's voice input or tap operation and sends the information to the server. The smart device is equipped with voice recognition software (e.g., Google Speech-to-Text API) and augmented reality technology, which allows the user to input questions naturally.

[1248] Next, the server receives the question submitted by the user. The server converts the voice data into text and analyzes the intent of the question using a natural language processing toolkit (e.g., NLTK, SpaCy). Based on the analysis result, the server collects relevant information from a database or external APIs. The collected information is analyzed using machine learning algorithms (e.g., Scikit-learn).

[1249] The server generates answers using generative AI models (e.g. ChatGPT) based on the analysis results. The generated answers are expressed in natural language format, making them easy for users to understand.

[1250] The server then sends the generated answer to the terminal, which receives the answer and displays it on the display of a smart device. The terminal is a common electronic device such as a smartphone or tablet, so that the user can visually check the answer.

[1251] As a concrete example, consider the case where a user asks, "How do I use this knife?" The server receives this question, converts it to text, and then uses NLTK to extract the keywords "knife" and "usage". Next, it collects information from relevant databases, analyzes the data using Scikit-learn, and selects the optimal usage procedure. Using a generative AI model (ChatGPT), it generates a specific answer: "To use a knife, follow these steps: 1. Hold the tip of the blade in place and pull it towards you. 2. ...". The answer is then displayed on the smart device's display via the terminal.

[1252] Example prompt:

[1253] "Please tell me how to use this knife."

[1254] In this way, users can intuitively and quickly obtain the information they need, making their daily lives more convenient.

[1255] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1256] Step 1:

[1257] A user wears a smart device and asks a question by voice input or tapping. For example, a user may say, "Please tell me how to use this knife." The smart device captures the user's voice and obtains the voice data.

[1258] Input: Audio data

[1259] Output: Acquire audio data

[1260] Step 2:

[1261] The smart device transmits the captured voice data to the server, which receives the voice data and converts it into text data using voice recognition software (e.g., Google Speech-to-Text API).

[1262] Input: Audio data

[1263] Output: Text data

[1264] Step 3:

[1265] The server analyzes the converted text data using a natural language processing toolkit (e.g., NLTK, SpaCy). This allows the intent of the question and key keywords to be extracted. For example, "knife" and "how to use" are extracted.

[1266] Input: Text data

[1267] Output: Keywords (e.g. "knife", "how to use")

[1268] Step 4:

[1269] The server collects relevant data based on the extracted keywords, and information on knife usage is collected from databases and external APIs. This collection involves multiple requests and data references.

[1270] Input:keyword

[1271] Output: Collecting relevant information

[1272] Step 5:

[1273] The server analyzes the collected data using machine learning algorithms (e.g., Scikit-learn). This allows it to select the answer that best suits the user's needs, for example by taking into account past inquiries and behavioral history.

[1274] Input: Collected data

[1275] Output: Analysis results

[1276] Step 6:

[1277] The server uses a generative AI model (e.g. ChatGPT) to generate a specific answer based on the analysis results. For example, the answer generated is "To use a knife, follow these steps: 1. Hold the blade at a fixed position and pull it toward you. 2. ..."

[1278] Input: Analysis results

[1279] Output: The generated answer

[1280] Step 7:

[1281] The server sends the generated answer to the terminal. The terminal then sends the received answer to the smart device and displays it on the display. The user can check the answer through the display of the smart device.

[1282] Input: Generated Answer

[1283] Output: Answer shown on the display

[1284] (Application example 1)

[1285] 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."

[1286] Conventional information provision systems using smart glasses have the problem that the answers to questions about products from users are limited, and detailed product information and usage instructions are insufficient. In addition, since there is no mechanism for providing an interactive user experience, it is difficult to improve the quality of customer service in physical stores. This makes it difficult to improve customer satisfaction and promote sales effectively.

[1287] 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.

[1288] In this invention, the server includes a means for acquiring questions about products and usage through the smart glasses by the user, a means for acquiring information, a means for analyzing the information and generating an appropriate answer, a means for transmitting the generated answer to the terminal, a means for the terminal to receive the answer and display the answer on the display of the smart glasses, and a means for the terminal to acquire additional information about the product using the generative AI model and display the information on the display of the smart glasses, thereby making it possible to provide detailed and appropriate product information and usage demonstrations in real time.

[1289] "Smart glasses" are glasses that users wear to receive product recommendations and demonstrations of how to use them, and are a device that displays information using AR technology.

[1290] A "server" is a central processing unit that receives queries from users, acquires information, analyzes it, generates appropriate responses, and transmits them to terminals.

[1291] The "terminal" is a device that receives the answer sent from the server and displays it on the display of the smart glasses.

[1292] A "generative AI model" is an artificial intelligence model used to generate appropriate answers and additional information to user questions, and uses algorithms such as natural language processing and machine learning.

[1293] A "prompt" is a textual instruction that is input into a generative AI model and acts as a guideline for generating an appropriate answer.

[1294] "Product Information" means detailed data about a particular product, including its features, uses, benefits, etc.

[1295] A "demonstration" is a method of visually explaining how to use a product and its effects, making it easier for users to intuitively understand.

[1296] An embodiment for implementing the present invention includes the following elements.

[1297] 1. Smart Glasses

[1298] Smart glasses are glasses worn by users to receive product recommendations and usage demonstrations, and are devices that display information using augmented reality (AR) technology, allowing users to simultaneously view real-world visual information and digital information.

[1299] 2. Server

[1300] The server is a central processing unit for realizing the following functions:

[1301] To acquire questions about a product and how to use the product through the smart glasses by a user.

[1302] Analyze the question and obtain information to generate an appropriate answer.

[1303] A generative AI model is used to generate appropriate additional information based on the generated answers.

[1304] The generated additional information is sent to the terminal.

[1305] 3. Terminal

[1306] A terminal is a device that is responsible for the following functions:

[1307] The answer sent from the server is received and displayed on the smart glasses display.

[1308] Upon request from the server, the generative AI model is used to obtain additional information about the product and display it on the smart glasses.

[1309] 4. Generative AI Models

[1310] A generative AI model is an artificial intelligence model used to generate appropriate answers and additional information to user questions, and uses natural language processing and machine learning algorithms.

[1311] 5. Prompt Sentence

[1312] Prompts are textual instructions that are input to a generative AI model and act as guidelines for generating appropriate answers.

[1313] Example: "You are in a store, explaining products to customers. The customer asks the question: 'What are the features of this product?' How would you explain it?"

[1314] Hardware and Software Configuration

[1315] The system configuration for implementing this is shown below.

[1316] Hardware:

[1317] Smart glasses: worn by the user and used as a display.

[1318] Server: Receives the user's question, analyzes and processes the information.

[1319] Terminal: Responsible for communication between the server and the smart glasses.

[1320] software:

[1321] Augmented Reality (AR) SDK: Software for displaying information on the display of smart glasses.

[1322] Natural Language Processing (NLP) libraries: Used by generative AI models to generate accurate answers.

[1323] Machine learning: Used as a technique for analyzing questions and generating answers.

[1324] Generative AI models (e.g. ChatGPT): responsible for rich vocabulary text generation.

[1325] Examples

[1326] If a user wears smart glasses and walks into a brick-and-mortar store and asks about a particular product, “What are the features of this product?”

[1327] 1. The server receives this question and performs an analysis.

[1328] 2. Based on the analysis results, a generative AI model is used to generate detailed product information.

[1329] 3. The server sends detailed product information to the terminal, which then displays it on the smart glasses display.

[1330] In this way, the system of the present invention allows users to receive detailed and appropriate product information and usage demonstrations in real time.

[1331] The flow of the specific process in the application example 1 will be described with reference to FIG.

[1332] Step 1: A user puts on the smart glasses and inputs a question about the product.

[1333] Input: A user asks the smart glasses a question: "What are the features of this product?"

[1334] Output: The user's question is sent to the server through the smart glasses.

[1335] Step 2: The server receives the user's question and analyzes the question.

[1336] Input: User question sent from smart glasses: "What are the features of this product?"

[1337] Output: Analysis of the question (based on natural language processing)

[1338] Step 3: The server uses the generative AI model to generate an appropriate answer.

[1339] Input: Prompt text based on analysis results: "Please tell me about the features of this product."

[1340] Output: Detailed product feature answer text generated by a generative AI model (e.g. ChatGPT)

[1341] Step 4: The server sends the generated answer to the terminal.

[1342] Input: Answer text of product features generated by generative AI model

[1343] Output: The answer text is sent to the terminal.

[1344] Step 5: The terminal receives the answer text and displays it on the display of the smart glasses.

[1345] Input: Answer text sent from the server

[1346] Output: Text information of product features displayed on the smart glasses display

[1347] Step 6: The device uses the generative AI model to obtain additional information about the product.

[1348] Input: User's question and basic information, and the prompt for the generated AI model: "Please tell me more about this product."

[1349] Output: Text with additional information generated by the generative AI model

[1350] Step 7: The device displays the additional information on the smart glasses display.

[1351] Input: Text of additional information generated by the generative AI model

[1352] Output: Text information for additional information displayed on the smart glasses display

[1353] Through this series of processes, users can receive detailed and appropriate product information and usage demonstrations in real time.

[1354] In addition, 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.

[1355] An embodiment for implementing the present invention includes the following elements.

[1356] 1. Smart Glasses

[1357] The smart glasses are glasses that users wear to receive product recommendations and usage demonstrations, and are combined with an emotion engine.

[1358] Smart glasses can display information using AR technology.

[1359] 2. Emotion Engine

[1360] The emotion engine is a system equipped with sensors and algorithms to recognize the user's emotions and plays a role in analyzing the user's emotions.

[1361] The emotion engine can tailor answers and suggestions to suit the user's emotions.

[1362] 3. Server

[1363] The server receives queries from users and performs processes to obtain and analyze information.

[1364] The server obtains the user's emotion information recognized by the emotion engine and adjusts answers and suggestions to match the user's emotions.

[1365] 4. Terminal

[1366] The terminal is responsible for receiving the answer sent by the server and displaying the answer on the display of the smart glasses.

[1367] The terminal is responsible for communicating with the smart glasses and providing an interface for the user to check questions and answers.

[1368] 5. Information analysis and answer generation

[1369] The server analyzes information acquired by the smart glasses worn by the user and information about the user's situation, and combines this information with the user's emotional information recognized by the emotion engine to generate an answer.

[1370] Natural language processing and recommendation system algorithms are used to generate answers, generating appropriate answers and suggestions that match the user's emotions.

[1371] The above elements are combined to construct an embodiment of the present invention, which not only allows users to receive product recommendations and usage demonstrations through smart glasses, but also recognizes the user's emotions through the emotion engine and adjusts answers and suggestions to match the user's emotions, thereby providing more personalized services and improving user satisfaction.

[1372] The process flow will be explained below.

[1373] Step 1: User Asks a Question

[1374] Subject: User

[1375] Specific actions: The user asks questions about the product and how to use it through the smart glasses.

[1376] Step 2: Smart glasses recognize user emotions

[1377] Subject:Smart glasses

[1378] Specific operation: The smart glasses use sensors to recognize the user's emotions and analyze the user's facial expressions, tone of voice, etc. using the built-in emotion engine.

[1379] Step 3: The server receives the query

[1380] Subject: Server

[1381] Specific actions: The server receives the user's query and retrieves the information for processing. Step 4: The server analyzes the information

[1382] Subject: Server

[1383] Specific operation: The server analyzes the information acquired by the smart glasses worn by the user and information about the user's situation. It also acquires the user's emotion information recognized by the emotion engine. Step 5: The server generates an answer

[1384] Subject: Server

[1385] Specific operation: Based on the analysis results, the server immediately responds to the user's question and generates an appropriate answer. The answer is adjusted taking into account the user's emotional information recognized by the emotion engine.

[1386] Step 6: The server sends the response to the device

[1387] Subject: Server

[1388] Specific operation: The server sends the generated response to the terminal.

[1389] Step 7: The device receives the response

[1390] Subject: Terminal

[1391] Specific operation: The terminal receives the response sent from the server.

[1392] Step 8: The device will display the answer

[1393] Subject: Terminal

[1394] Specific operation: The device displays the received answer on the smart glasses display, and adjusts the display style and tone of the answer based on the user's emotional information recognized by the emotion engine.

[1395] Step 9: User confirms answers

[1396] Subject: User

[1397] Specific operation: The user checks the answer displayed on the smart glasses display. The answer is adjusted to the user's emotions and appropriate feedback is provided.

[1398] Output Condition:

[1399] Step 1: The user asks a question about the product or how to use it through the smart glasses.

[1400] Step 2: The smart glasses recognize the user's emotions.

[1401] Step 3: The server receives the user's query and retrieves the information.

[1402] Step 4: The server analyzes the information.

[1403] Step 5: The server generates an appropriate answer based on the analysis results.

[1404] Step 6: The server sends the response to the terminal.

[1405] Step 7: The device receives the response.

[1406] Step 8: The device displays the answer on the smart glasses display.

[1407] Step 9: The user checks the answer displayed on the smart glasses display.

[1408] Example 2

[1409] Next, a description will be given of Example 2. In the following description, the data processing device 12 is referred to as a "server" and the robot 414 is referred to as a "terminal."

[1410] Conventional product recommendation systems using smart glasses simply provide information without considering the user's emotional state. This makes it difficult to provide personalized services because the system is unable to respond flexibly to the user's emotions. In addition, if the user is not emotionally calm, inappropriate answers are displayed, which reduces the user's satisfaction.

[1411] 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.

[1412] In this invention, the server includes a means for acquiring questions from the user about products and how to use them through the smart glasses, a means for the server to receive the questions from the user and acquire information, a means for recognizing the user's emotions using an emotion engine and acquiring emotion data, a means for analyzing the information and emotion data acquired by the server and generating an appropriate answer, a means for transmitting the answer generated by the server to a terminal, and a means for the terminal to receive the answer and display the answer on the display of the smart glasses. This makes it possible to flexibly provide information according to the user's emotional state, and to provide personalized services. In addition, by providing appropriate answers and suggestions according to the user's emotions, the user's satisfaction can be improved.

[1413] "Smart glasses" are a technical device that is a glasses-type device equipped with a display function that displays information in the user's field of vision, and also has built-in sensors and communication modules.

[1414] An "emotion engine" is a system that includes sensors and algorithms for recognizing a user's emotions, and is a technology that grasps the user's emotional state and performs data analysis based on that.

[1415] A "server" is a computer system that receives, transmits, analyzes, and stores data via a network, and in this invention, it is a device that plays a central role in processing queries from users and providing necessary information.

[1416] A "terminal" is a device that receives data sent from the server and displays it to the user, and is a device that communicates with the smart glasses and provides information in real time.

[1417] "Natural language processing" is a technology that enables computers to understand and analyze human language, and is used to analyze the meaning of questions posed by users.

[1418] A "recommendation system algorithm" is a computational method for analyzing a user's past behavior and preferences to suggest optimal products and information, and is a technology used in this invention to make appropriate suggestions to the user.

[1419] A "display" is a screen or display device for visually displaying information, and is a component that functions as part of smart glasses to provide information to a user's field of vision.

[1420] "Analysis" is the process of processing acquired data to derive useful information and insights, and is the action the server uses when processing user questions and sentiment data.

[1421] "Answer generation" is the process of creating appropriate answers or suggestions for questions posed by users, and is a task performed by the server by analyzing information.

[1422] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[1423] The embodiment of the present invention provides a system that combines specific hardware and software to appropriately respond to a user's questions while taking into account emotions. The system includes the following elements:

[1424] Hardware:

[1425] 1. Smart glasses: A glasses-type device worn by the user that has a display function that displays information in the user's field of vision. Smart glasses are equipped with sensors and communication modules.

[1426] 2. Server: A computer system that receives, sends, analyzes, and stores data via a network. It is responsible for analyzing the content of users' questions and emotional data, and generating appropriate answers.

[1427] 3. Terminal: A device that receives the data sent from the server and displays it on the smart glasses.

[1428] software:

[1429] 1. Emotion Engine: A system that includes sensors and algorithms to recognize the user's emotions. It analyzes facial expressions and voice tones to infer the user's emotional state.

[1430] 2. Natural Language Processing (NLP) algorithms: Technology that analyzes user voice data and understands the meaning of the question.

[1431] 3. Recommendation system algorithm: A computational method that analyzes a user's past behavior and preferences to suggest the most suitable products and information.

[1432] The operation of the present system is as follows.

[1433] How to use:

[1434] When a user wears the smart glasses, the glasses use a built-in emotion engine to recognize the user's emotions in real time. The user asks a question by voice, and the voice data is sent to the terminal via the smart glasses. The terminal sends the voice data to a server, which analyzes the data with a natural language processing (NLP) algorithm to understand the question.

[1435] The server further combines the emotion data received from the emotion engine and uses the recommendation system algorithm to generate an appropriate answer. In this process, the generative AI model is utilized to generate the most suitable answer or suggestion for the user in the form of a script. The generated answer is sent to the smart glasses via the terminal and displayed in the user's field of vision.

[1436] Examples:

[1437] For example, if a user asks, "Please tell me how to use this smartphone," the smart glasses will send the voice data to the server, which will then analyze the question using a natural language processing algorithm. At the same time, the emotion engine will send the user's emotion data, such as "very interested," to the server. Based on this information, the server will use a generative AI model to generate an answer, such as "To take a photo with this smartphone, first open the camera app and then press the shutter button," and display it on the smart glasses via the device.

[1438] Example prompt:

[1439] "A user wants to learn how to use a new smartphone. Please suggest a way to capture the user's interest and teach them in an easy-to-understand way. The user is wearing smart glasses, which are equipped with an emotion engine. By utilizing the user's emotion data and gaze information, we will provide the most appropriate information in real time. For example, if the user asks, 'Please tell me how to take a photo with this smartphone,' how would you respond?"

[1440] The above-mentioned system enables flexible responses according to the user's emotions and provides personalized services. This system aims to significantly improve user satisfaction.

[1441] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1442] Step 1:

[1443] The user wears the smart glasses

[1444] Description: A user puts on a pair of smart glasses and boots up the system. The glasses are equipped with sensors that detect gaze and facial expressions, and an initialization process is performed.

[1445] Input: Smart glasses startup

[1446] Output: Initialized smart glasses

[1447] Specific operation: When a user puts on the smart glasses, a welcome message appears on the display and the sensor system is activated.

[1448] Step 2:

[1449] Emotion engine recognizes user emotions

[1450] Description: The emotion engine installed in the smart glasses analyzes the user's gaze, facial expressions, and voice tone in real time through sensors to generate emotion data.

[1451] Input: User gaze, facial expression, and voice data

[1452] Output: Parsed emotion data

[1453] Specific operation: When a user smiles, the emotion engine recognizes it as "happy" and sends the emotion data to the server.

[1454] Step 3:

[1455] The server receives the user's question.

[1456] Description: When a user speaks a question, the smart glasses capture the voice and send it to the server via the terminal. The server receives the voice data.

[1457] Input: User spoken question data

[1458] Output: Received audio data

[1459] Specific operation: When a user asks, "Teach me how to use my smartphone," the voice is sent through the smart glasses to the device and then to the server.

[1460] Step 4:

[1461] The server retrieves and analyzes the information

[1462] Description: The server uses natural language processing (NLP) to analyze the voice data received and understand the question, while simultaneously processing the information taking into account the emotion data sent from the emotion engine.

[1463] Input: User voice and emotion data

[1464] Output: Parsed question and user's emotional state

[1465] Specific operation: The server analyzes the question "How to use a smartphone" and determines the user's emotional state as "very interested."

[1466] Step 5:

[1467] Generate answers based on information and sentiment data

[1468] Description: Based on the question content and sentiment data analyzed by the server, the optimal answer is generated using a generative AI model.

[1469] Input: Analyzed question content, user emotion data

[1470] Output: Generated response data

[1471] Specific behavior: The server uses the "how to use a smartphone" and the emotion data "very interested" to generate an answer such as "To take a photo with this smartphone, first open the camera app. Then simply press the shutter button."

[1472] Step 6:

[1473] The server generates a response and sends it to the device.

[1474] Description: The server generates answer data and sends it to the device, which receives it and prepares it for display on the smart glasses.

[1475] Input: Server-generated answer data

[1476] Output: Answer data sent to the terminal

[1477] Specific operation: The server sends "explanatory text on how to take a photo" to the terminal, and the terminal receives the text data.

[1478] Step 7:

[1479] The device displays the answer on the smart glasses.

[1480] Description: The terminal displays the received answer data on the smart glasses display, allowing the user to check it in real time.

[1481] Input: Response data received

[1482] Output: Your answer shown on the smart glasses display.

[1483] What it does: The device displays the following instruction on the smart glasses display: "To take a photo with this smartphone, first open the camera app. Then simply press the shutter button."

[1484] The above are the process steps of the system and their specific operations. This process flow makes it possible to flexibly provide information tailored to the user's emotional state, enabling a more personalized service to be provided.

[1485] (Application example 2)

[1486] 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".

[1487] Conventional product recommendation systems using smart glasses lacked personalized suggestions that took into account the user's emotions, making it difficult to sufficiently increase user satisfaction. In addition, there was a lack of a means to make the product selection process for users in physical stores more interactive and efficient.

[1488] 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. In this invention, the server includes a means for receiving a user's question and acquiring information, a means for analyzing the information and generating an appropriate answer, a means for transmitting the generated answer to the terminal, a means for an emotion engine to recognize the user's emotion and adjust suggestions and answers based on the emotion, and a means for the smart glasses to display product information and suggestions using augmented reality technology. This enables personalized product recommendations and suggestions based on the user's emotion, making the shopping experience in a physical store more interactive and efficient.

[1489] "Smart glasses" are glasses that users can wear to receive product recommendations and demonstrations of how to use them, and they have the ability to display information using augmented reality technology.

[1490] An "emotion engine" is a system equipped with sensors and algorithms to recognize a user's emotions, analyze the user's emotions, and tailor answers and suggestions based on those emotions.

[1491] A "server" is a computer system that has the function of receiving a question from a user, acquiring and analyzing information, and transmitting the generated answer to a terminal.

[1492] A "terminal" is a relay or device for receiving the response sent from the server and displaying it on the smart glasses.

[1493] "Augmented reality technology" is a technology that adds virtual information to the real-world environment and displays it visually.

[1494] The "means for acquiring a question" refers to a method for acquiring a question, either vocally or visually, when a user asks a question about a product or how to use the product through the smart glasses.

[1495] "Means of obtaining information" refers to the process by which the server obtains the information needed to respond to a user's inquiry from an external database or an internal database.

[1496] "Means for analyzing information" refers to a method for performing the data processing required to generate an appropriate response based on the acquired information.

[1497] "Means of generating an answer" refers to the process of creating optimal answers or suggestions for the user based on the analyzed information.

[1498] The "means for sending a response" refers to a function for sending a response generated by the server to the terminal.

[1499] The "means for adjusting suggestions or answers" refers to a method for changing the content or expression of answers or suggestions provided based on the user's emotion data recognized by the emotion engine.

[1500] "Means for displaying product information and suggestions" refers to the function of the smart glasses using augmented reality technology to display detailed product information and suggestions in the user's field of vision.

[1501] To implement this invention, it is necessary to build a system that links smart glasses, an emotion engine, a server, and a terminal. This system uses smart glasses to recommend products and demonstrate how to use them when a user is selecting a product in a brick-and-mortar store, and also provides personalized suggestions based on the user's emotions.

[1502] Hardware and Software

[1503] Smart Glasses:

[1504] The smart glasses are equipped with a display for displaying information, a camera, a microphone, etc. The camera captures the user's facial expressions, and the microphone collects voice data.

[1505] Emotion Engine:

[1506] The emotion engine is equipped with sensors and algorithms to recognize the user's emotions and utilizes emotion recognition APIs such as Microsoft Azure Emotion API to analyze the user's emotion data and provide feedback in real time.

[1507] server:

[1508] The server is responsible for retrieving information, analyzing it, generating answers, and sending them to the device. This includes natural language processing (NLP) algorithms, databases, recommendation system algorithms, etc.

[1509] Device:

[1510] The terminal is responsible for communicating with the smart glasses and displaying the answer data sent from the server on the smart glasses.

[1511] Augmented Reality Technology (AR):

[1512] To display information, AR libraries such as Apple's ARKit and Google's ARCore are used.

[1513] explanation

[1514] When a user asks a question by voice through the smart glasses, the server first receives the voice data and analyzes the question using a natural language processing (NLP) algorithm. At the same time, the camera in the smart glasses captures the user's facial expression and sends the facial expression data to the emotion engine. The emotion engine uses an emotion recognition API to analyze the user's emotion and sends the data to the server.

[1515] The server then retrieves relevant information based on the analysis results and analyzes it together with the emotion data. Based on the analysis results, it generates optimal answers and suggestions for the user. The generated answers and suggestions are then displayed on the smart glasses display via the terminal using augmented reality technology. This allows the user to obtain personalized information in real time.

[1516] Examples

[1517] If a user is browsing the wine shelves in a brick-and-mortar store and is interested in a particular wine and asks a question about it, detailed information about that wine will be displayed through the smart glasses. In addition, the glasses will recognize the user's emotions, and if the user shows a surprised expression, other similar wines will be recommended.

[1518] Example prompt:

[1519] Design an application that identifies products captured by smart glasses while the user is in the store and uses information about the products and the user's emotion data to provide personalized suggestions. Use emotion recognition APIs for emotion recognition and software that allows building augmented reality applications for AR technology.

[1520] The flow of the specific process in the application example 2 will be described with reference to FIG.

[1521] Step 1:

[1522] The user asks a question about the product by voice through the smart glasses. The voice data is picked up by the microphone of the smart glasses and transmitted to the terminal. The voice data is the input, and by transferring it, the initial data collection is completed.

[1523] Step 2:

[1524] The terminal transmits the captured voice data to the server. The server receives the voice data and converts it into text data using a voice recognition algorithm. Voice data is input and text data is output. In this process, voice data is converted into a string of characters.

[1525] Step 3:

[1526] The server uses natural language processing (NLP) algorithms to analyze the text data and understand the user's question. The text data is input, and the analyzed question (query) is output. In this step, the intent of the question is clarified.

[1527] Step 4:

[1528] The camera in the smart glasses captures the user's facial expressions and transmits them to the emotion engine in real time. The video data is the input, which becomes the input data for the emotion engine.

[1529] Step 5:

[1530] The emotion engine uses emotion recognition APIs to analyze the user's emotions. The video data is the input, and the analyzed emotion data is the output. In this process, the user's emotional state (e.g. surprise, joy, interest, etc.) is identified.

[1531] Step 6:

[1532] The server retrieves related information from the database based on the query and emotion data. The query and emotion data are input, and related information (product details, usage) is output. In this step, information corresponding to the user's needs is collected.

[1533] Step 7:

[1534] The server combines the relevant information and sentiment data and uses natural language generation (NLG) algorithms to generate personalized answers or suggestions. The relevant information and sentiment data are the input, and the personalized answers or suggestions are the output. This process creates the best possible information for the user.

[1535] Step 8:

[1536] The server then sends the generated answers or suggestions to the terminal. The personalized answers or suggestions are the input and the transmitted data is the output. In this step, the information is prepared to be delivered to the user.

[1537] Step 9:

[1538] The device displays the received answers or suggestions on the smart glasses. The transmitted data is the input, and the visual display is the output. This process actually displays the answers or suggestions in the user's field of vision.

[1539] Step 10:

[1540] The user visually checks the information displayed on the smart glasses display. The visual information display is the input, and the user's understanding and action is the output. This step allows the user to receive the information and take action based on it.

[1541] 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 a voice indicating a user input for 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.

[1542] 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 making a neural network perform deep learning. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image is input. The data generation model 58 performs inference on the input inference data according to 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.

[1543] In the above embodiment, an example was given in which the specific process was performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the robot 414.

[1544] The emotion identification model 59 as an emotion engine may determine the emotion of the user according to a specific mapping. Specifically, the emotion identification model 59 may determine the emotion of the user according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the emotion of the robot, and the identification processing unit 290 may perform identification processing using the emotion of the robot.

[1545] FIG. 9 is a diagram showing 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. The closer to the center of the concentric circles, the more primitive emotions are arranged. The more outside the concentric circles, the more emotions that represent states and actions that arise from a state of mind are arranged. Emotions are a concept that includes emotions and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions that occur in the brain are arranged. On the right side of the concentric circles, emotions that are generally induced by situational judgment are arranged. On the upper and lower sides of the concentric circles, emotions that are generally generated from reactions that occur in the brain and are induced by situational judgment are arranged. In addition, on the upper side of the concentric circles, emotions of "pleasure" are arranged, and on the lower side, emotions of "discomfort" are arranged. In this way, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1546] These emotions are distributed in the 3 o'clock direction of emotion map 400 and usually 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.

[1547] The inside of emotion map 400 represents what is going on inside one's mind, and the outside of emotion map 400 represents behavior, so the further out you go on emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1548] Here, human emotions are based on various balances such as posture and blood sugar level, and when these balances are far from the ideal, it indicates an unpleasant state, and when they are close to the ideal, it indicates a pleasant state. Emotions can also be created for robots, cars, motorcycles, etc., based on various balances such as posture and battery level, so that when these balances are far from the ideal, it indicates an unpleasant state, and when they are close to the ideal, it indicates a pleasant state. The emotion map may be generated, for example, based on the emotion map of Dr. Mitsuyoshi (Research on speech emotion recognition and emotion brain physiological signal analysis system, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). On the left half of the emotion map, emotions belonging to an area called "reaction" where sensation is dominant are lined up. On the right half of the emotion map, emotions belonging to an area called "situation" where situation recognition is dominant are lined up.

[1549] The emotion map defines two emotions that promote learning. The first is the negative emotion around the middle of "repentance" or "remorse" on the situation side. In other words, this is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the positive emotion around "desire" on the response side. In other words, this is when the robot has positive feelings such as "I want more" or "I want to know more."

[1550] The emotion identification model 59 inputs the user input to a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the emotion of the user. This neural network is pre-trained based on multiple learning data that are combinations of the 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, "relief," "calm," and "encouraging," have similar emotion values.

[1551] Although the system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, the system according to the present disclosure is not necessarily implemented in 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 that runs on a personal computer, or an application that runs on a smartphone or the like. The method according to the present disclosure may be provided to a user in the form of SaaS (Software as a Service).

[1552] In the above embodiment, an example is 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 the external device may generate data according to input data.

[1553] 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 Universal Serial Bus (USB) 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.

[1554] In addition, 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 upon request from the data processing device 12.

[1555] 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.

[1556] As the hardware resource for executing the specific process, various processors as shown below can be used. An example of the processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing the specific process by executing software, i.e., a program. Another example of the processor is a dedicated electric circuit, which is a processor having a circuit configuration designed exclusively for executing the specific process, such as a Field-Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), or an Application Specific Integrated Circuit (ASIC). Each processor has a built-in or connected memory, and each processor executes the specific process by using the memory.

[1557] The hardware resource that executes the specific process may be one of these various processors, or may be 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 process may be a single processor.

[1558] As an example of a configuration using one 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 configuration using a processor that realizes the functions of the 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.

[1559] Furthermore, more specifically, the hardware structure of these various processors can be an electric circuit that combines circuit elements such as semiconductor elements. The specific processes described above are merely examples. It goes without saying that unnecessary steps may be deleted, new steps may be added, or the order of processes may be changed without departing from the spirit of the invention.

[1560] The above description and illustrations are detailed descriptions 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, function, action, and effect is an example of the configuration, function, action, and effect 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 description and illustrations, within the scope of the gist of the technology of the present disclosure. In addition, in order to avoid confusion and to facilitate understanding of the parts related to the technology of the present disclosure, the above description and illustrations omit explanations of technical common sense that do not require explanation in order to enable the implementation of the technology of the present disclosure.

[1561] All publications, patent applications, and standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or standard was specifically and individually indicated to be incorporated by reference.

[1562] The following is further disclosed regarding the above embodiment.

[1563] (Claim 1) A system for providing product recommendations and usage demonstrations in daily life through smart glasses, comprising: A means for acquiring a question about a product or a usage by a user through the smart glasses; A server receives a query from the user and acquires information; means for said server to analyze the information and generate an appropriate response; means for transmitting a response generated by the server to a terminal; means for receiving the answer at the terminal and displaying the answer on a display of the smart glasses; A system including:

[1564] (Claim 2) The system of claim 1, further comprising means for a server to analyze information acquired by the smart glasses worn by the user and information regarding the user's situation.

[1565] (Claim 3) The system according to claim 1 or 2, characterized in that the server includes means for providing detailed information on products and methods for using tools suggested through the smart glasses worn by the user in order to immediately respond to the user's questions and generate appropriate answers.

[1566] (Claim 4) The system according to claim 1, further comprising an emotion engine.

[1567] (Claim 5) 5. The system according to claim 1 or 4, further comprising a sensor for recognizing the user's emotions.

[1568] (Claim 6) 6. The system of claim 4 or claim 5, wherein the engine analyses the user's emotions and adapts answers or suggestions to the user's emotions.

[1569] "Example 1" (Claim 1) A system for providing product recommendations and operation method demonstrations in daily life through a smart device worn by a user, comprising: A means for acquiring a question about an item or an operation method by a user through the smart device; A server receives queries from the user and collects information; A means for analyzing the information collected by the server; A means for the server to generate an appropriate answer based on the analysis result; means for transmitting a response generated by the server to a terminal; a means for receiving the answer by the terminal and displaying the answer on a display of the smart device; A system including:

[1570] (Claim 2) The system according to claim 1, characterized in that the server includes means for analyzing the user's question using machine learning algorithms and natural language processing techniques, and for collecting and analyzing information.

[1571] (Claim 3) 2. The system of claim 1, wherein the server includes means for using a generative AI model to generate an appropriate answer based on the user's question.

[1572] "Application example 1" (Claim 1) A system for providing product recommendations and usage demonstrations in daily life through smart glasses, comprising: A means for acquiring a question about a product or a usage by a user through the smart glasses; A server receives a query from the user and acquires information; means for said server to analyze the information and generate an appropriate response; means for transmitting a response generated by the server to a terminal; means for receiving the answer at the terminal and displaying the answer on a display of the smart glasses; Means for the terminal to obtain additional information about the product using a generative AI model and display the information on the display of the smart glasses; A system including:

[1573] (Claim 2) The system of claim 1, further comprising means for a server to analyze information acquired by the smart glasses worn by the user and information regarding the user's situation.

[1574] (Claim 3) The system according to claim 1 or 2, characterized in that the server includes means for providing detailed information on products and methods for using tools suggested through the smart glasses worn by the user in order to immediately respond to the user's questions and generate appropriate answers.

[1575] "Example 2 of combining emotion engines" (Claim 1) A means for acquiring questions from a user about a product or how to use the product through the smart glasses; A server receives a query from the user and acquires information; A means for recognizing a user's emotion using an emotion engine and acquiring emotion data; A means for analyzing the information and emotion data acquired by the server and generating an appropriate response; means for transmitting a response generated by the server to a terminal; means for receiving the answer at the terminal and displaying the answer on a display of the smart glasses; A system including:

[1576] (Claim 2) The system according to claim 1, characterized in that the server includes means for analyzing information acquired by the smart glasses worn by the user and information regarding the user's situation.

[1577] (Claim 3) 2. The system of claim 1, further comprising means for using an emotion engine to obtain user emotion data and for using natural language processing and recommendation system algorithms to generate appropriate answers and suggestions.

[1578] "Application example 2 when combining emotion engines" (Claim 1) A system for providing product recommendations and usage demonstrations in daily life through smart glasses, comprising: A means for acquiring a question about a product or a usage by a user through the smart glasses; A server receives a query from the user and acquires information; means for said server to analyze the information and generate an appropriate response; means for transmitting a response generated by the server to a terminal; means for receiving the answer at the terminal and displaying the answer on a display of the smart glasses; a means for the emotion engine to recognize a user's emotion and tailor suggestions and responses based on the emotion; A means for the smart glasses to display product information and suggestions using augmented reality technology; A system including:

[1579] (Claim 2) The system of claim 1, further comprising means for a server to analyze information acquired by the smart glasses worn by the user and information regarding the user's situation.

[1580] (Claim 3) The system of claim 1, further comprising means for providing detailed information on products and / or methods for using tools suggested through the smart glasses worn by the user, so that the server can instantly respond to the user's questions and generate appropriate answers. [Explanation of symbols]

[1581] 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 system for providing product recommendations and operation method demonstrations in daily life through a smart device worn by a user, comprising: A means for acquiring a question about an item or an operation method by a user through the smart device; A server receives queries from the user and collects information; A means for analyzing the information collected by the server; A means for the server to generate an answer to the question based on the analysis result; means for transmitting a response generated by the server to a terminal; a means for receiving the answer by the terminal and displaying the answer on a display of the smart device; A system including:

2. The system according to claim 1, further comprising a server for analyzing information acquired by the smart device worn by the user and information regarding the user's situation.

3. The system according to claim 1 or 2, characterized in that the server includes means for providing detailed information on products and methods for using tools suggested through the smart device worn by the user in order to instantly respond to the user's questions and generate answers to the questions.

4. The system of claim 1, further comprising an emotion engine.

5. The system according to claim 1 or 4, further comprising a sensor for recognizing the emotion of the user.

6. 5. The system of claim 4, wherein the emotion engine analyzes the user's emotions and tailors answers or suggestions to the user's emotions.

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