System

Abstract

A system is provided.SOLUTION: A system comprising: means for acquiring visual information of the outside world; means for acquiring auditory information of the outside world; means for converting the visual information into text information; means for converting the auditory information into text information; means for searching related information on the web based on the converted text information; means for displaying the searched information in an augmented reality (AR) format; means for collecting data based on a user's interest; and means for analyzing the collected data.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 an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Conventional information acquisition systems require users to search for and acquire information themselves, making it difficult to effectively provide the necessary information in real time. Furthermore, because information is not provided based on the user's interests, it is not possible to provide information that is optimal for each individual user. Furthermore, there is a lack of effective ways to utilize acquired visual and auditory information, making it difficult to provide an interactive experience based on that information. [Means for solving the problem]

[0005] The present invention provides a system for acquiring visual and auditory information from the outside world in real time and converting it into text information. Specifically, the system includes a means for acquiring visual information from the outside world, a means for acquiring auditory information from the outside world, a means for converting the acquired visual information into text information, a means for converting the acquired auditory information into text information, a means for searching for related information on the web based on the converted text information, a means for displaying the searched information in an augmented reality (AR) format, a means for collecting data based on the user's interests, and a means for analyzing the collected data. This system allows users to automatically acquire information from the outside world and obtain related information in real time. Furthermore, it enables the system to efficiently provide information based on the user's interests and concerns, significantly improving the user experience.

[0006] "Visual information" refers to information about physical images or pictures of the surroundings captured by an imaging device such as a camera.

[0007] "Auditory information" refers to information about surrounding sounds and conversations acquired by a sound collection device such as a microphone.

[0008] "Text information" is information expressed in character codes converted from visual and auditory information.

[0009] "Conversion means" refers to a device or software that analyzes visual or auditory information and converts it into corresponding text information.

[0010] A "search tool" is a device or software that locates relevant information on the web based on specific keywords or queries.

[0011] Augmented reality (AR) is a technology that displays virtual information and images overlaid on the real environment.

[0012] A "display means" is a device or software that presents information acquired and searched for using AR technology in a visible form to the user.

[0013] "Interest data" is information that records the interest and curiosity expressed by the user through their gaze, voice, etc.

[0014] A "collection instrument" is a device or software for recording and collecting user-expressed interest data.

[0015] The "analysis means" is a device or software for analyzing collected interest data to understand trends in users' interests and concerns. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

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

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

[0019] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0020] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0021] 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.

[0022] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0024] [First embodiment]

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

[0026] 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.

[0027] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] 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.

[0029] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0033] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0034] 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.

[0035] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0036] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0037] This invention is a system that acquires visual and auditory information from the outside world in real time, searches for related information on the web based on that information, and displays it to the user in AR format. Specific embodiments of this system are described below.

[0038] First, the smart glasses, which are the terminals, acquire visual and auditory information from the outside world. Specifically, the cameras on the smart glasses capture images and microphones record audio. This data is sent in real time to a processing unit within the terminal.

[0039] The device then uses OCR (optical character recognition) technology to convert the acquired visual information into text. For example, it can recognize a cafe sign and convert it into text information such as "Cafe ABC." Similarly, it can convert auditory information into text information using voice recognition technology. For example, it can recognize the conversation of a passerby and generate text information such as "This cafe is delicious."

[0040] The converted text information is sent from the device to the server. The server uses the received text information to search for related information on the web. Specifically, it uses a web search engine to retrieve reviews, menus, location information, etc. for "Cafe ABC." The search results are then sent back to the device.

[0041] The device organizes the search results and displays them in AR format in the user's field of view. For example, reviews and popular menu items for "Cafe ABC" are overlaid on the smartglasses' display. This allows users to access relevant information in real time through their smartglasses while walking around town.

[0042] Furthermore, the device collects user interest data. Specifically, when the user looks at a particular piece of information or issues a voice command such as "I'm interested in this menu item," the information is recorded. The collected interest data is sent to a server, which analyzes it to understand the user's interest trends. The results of this analysis are reflected in subsequent searches and information provision, enabling the device to provide the most appropriate information tailored to the user's preferences.

[0043] For example, if a user is walking down the street and spots a sign for "Cafe XYZ," the camera in the smart glasses will recognize the sign and convert it into text using OCR technology. If the user then says, "I'm interested in the cake at this cafe," the speech recognition technology will convert the comment into text. The server will then perform a web search based on the keywords "Cafe XYZ" and "cake" to retrieve relevant reviews and menu information. This information will then be sent to the device and displayed in AR format on the smart glasses' display. The user will then be able to check reviews and photos of the cake on the spot.

[0044] In this way, the present invention enables users to obtain and provide information in real time, improving the user experience. Furthermore, by collecting and analyzing data based on the user's interests, it becomes possible to provide more personalized information.

[0045] The processing flow will be explained below.

[0046] Step 1:

[0047] The device acquires visual and auditory information from the outside world using a camera mounted on the smart glasses to capture video and a microphone to record audio, and transmits this data in real time to a processing unit within the device.

[0048] Step 2:

[0049] The visual information acquired by the device is converted into text information using OCR technology. For example, the device recognizes a sign that reads "Cafe ABC" and converts the image into text. Similarly, the audio information acquired is converted into text information using speech recognition technology. For example, a passerby's speech, "This cafe is delicious," is converted into text.

[0050] Step 3:

[0051] The device sends the converted text information to a server. Specifically, the text data generated by OCR or voice recognition is uploaded to the server via the Internet.

[0052] Step 4:

[0053] The server searches for related information on the web based on the received text information. The server uses a search engine to retrieve reviews, menus, location information, etc. for "Cafe ABC." Multiple search engines can be used to gather more information.

[0054] Step 5:

[0055] The server sorts the search results and selects the most relevant information, for example, by prioritizing reviews with high user ratings and information from official websites.

[0056] Step 6:

[0057] The server then sends the organized information to the device, specifically, data summarizing related reviews and menu information, via the Internet.

[0058] Step 7:

[0059] The device will display the information it receives in AR format, overlaying reviews and popular menu items from Cafe ABC onto the smartglasses display.

[0060] Step 8:

[0061] If a user expresses interest in a particular piece of information through their gaze or voice, the device records that data. For example, if a user gazes intently at a particular review page or says, "I'm interested in this menu item."

[0062] Step 9:

[0063] The device sends the collected interest data, including the user's gaze information and voice commands, to the server.

[0064] Step 10:

[0065] The server analyzes the collected interest data to understand the user's interest trends, and reflects the results of this analysis in future search results and information provision, enabling it to provide the user with the most appropriate information.

[0066] Example 1

[0067] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0068] In modern society, users need to obtain the information they need quickly and efficiently. It is particularly important to improve the user experience by obtaining and utilizing information in real time, even while on the move or while actively using that information. However, existing technologies lack sufficient methods for appropriately obtaining and providing information that interests users in real time, and the information acquisition process is cumbersome. Furthermore, there are still challenges in identifying users' interest trends and providing personalized information based on them. Given these circumstances, there is a need for technology that can obtain and analyze users' visual and auditory information and provide relevant information in real time based on that information.

[0069] 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.

[0070] In this invention, the server includes means for acquiring visual information from the outside world, means for acquiring auditory information from the outside world, means for converting the visual information into text information, means for converting the auditory information into text information, means for searching for related information on the web based on the converted text information, means for displaying the searched information in an augmented reality (AR) format, means for collecting data based on a user's interests in real time, and means for analyzing the collected data and reflecting it in subsequent search results. This enables a user to quickly and efficiently obtain necessary information while on the move or while active, and further enables the provision of personalized information based on the user's interests and preferences.

[0071] "Visual information from the outside world" refers to visual information such as objects and letters that exist in the surrounding environment.

[0072] "External auditory information" refers to auditory information such as sounds and conversations that exist in the surrounding environment.

[0073] "Means for converting visual information into text information" refers to a technology for converting acquired visual information into text data, specifically the use of OCR (optical character recognition) technology.

[0074] The "means for converting auditory information into text information" refers to a technology for converting acquired auditory information into text data, specifically using voice recognition technology.

[0075] "Means for searching for related information on the web" refers to technology that searches for and obtains related information on the Internet based on converted text information.

[0076] "Augmented reality (AR) display" refers to technology that displays acquired information overlaid on the real world, allowing users to simultaneously view the real world and additional information.

[0077] "Means for collecting data based on user interests in real time" refers to technology that records and collects trends in interest in real time when a user shows interest in specific information.

[0078] "Means of analyzing collected data and reflecting it in subsequent search results" refers to technology that analyzes collected user interest data and personalizes the next information provided based on the results of that analysis.

[0079] This invention is a system that acquires visual and auditory information from the outside world in real time, searches for related information on the web based on that information, and displays it to the user in an augmented reality (AR) format. Specific embodiments of this system are described below.

[0080] First, the smart glasses, which are the terminals, acquire visual and auditory information from the outside world. Specifically, the cameras on the smart glasses capture images and microphones record audio. This data is sent in real time to a processing unit within the terminal.

[0081] The device then uses OCR (optical character recognition) technology to convert the acquired visual information into text. For example, it can recognize a cafe sign and convert it into text information such as "Cafe ABC." Similarly, it can convert auditory information into text information using voice recognition technology. For example, it can recognize the conversation of a passerby and generate text information such as "This cafe is delicious."

[0082] The converted text information is sent from the device to the server. The server uses the received text information to search for related information on the web. Specifically, it uses a web search engine to retrieve reviews, menus, location information, etc. for "Cafe ABC." The search results are then sent back to the device.

[0083] The device organizes the search results and displays them in AR format in the user's field of view. For example, reviews and popular menu items for "Cafe ABC" are overlaid on the smartglasses' display. This allows users to access relevant information in real time through their smartglasses while walking around town.

[0084] Furthermore, the device collects user interest data. Specifically, when the user looks at a particular piece of information or issues a voice command such as "I'm interested in this menu item," the information is recorded. The collected interest data is sent to a server, which analyzes it to understand the user's interest trends. The results of this analysis are reflected in subsequent searches and information provision, enabling the device to provide the most appropriate information tailored to the user's preferences.

[0085] As a concrete example, if a user is walking down the street and spots a sign for "Cafe XYZ," the camera in the smart glasses will recognize the sign and convert it into text using OCR technology. Furthermore, if the user says, "I'm interested in the cake at this cafe," the speech recognition technology will convert the comment into text. The server will perform a web search based on the keywords "Cafe XYZ" and "cake" to retrieve related reviews and menu information. This information will be sent to the device and displayed in AR format on the smart glasses' display. The user will then be able to check reviews and photos of the cake on the spot.

[0086] An example prompt is:

[0087] "I saw a sign for Cafe XYZ and would like more information and reviews. I'd also like to know what people think of their cakes."

[0088] In this way, the present invention enables users to obtain and provide information in real time, improving the user experience. Furthermore, by collecting and analyzing data based on the user's interests, it becomes possible to provide more personalized information.

[0089] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0090] Step 1:

[0091] The device acquires visual and auditory information from the outside world.

[0092] Inputs include images of the outside world that appear in the user's field of vision and sounds from the environment.

[0093] Specifically, the camera on the smart glasses captures video footage and the microphone records audio.

[0094] As an output, the captured video and audio data is sent to a processing unit inside the terminal.

[0095] Step 2:

[0096] The visual information acquired by the device is converted into text information.

[0097] The input is the video data acquired in step 1.

[0098] Specifically, the device uses OCR (optical character recognition) technology to analyze the characters in the video data and convert it into text data. For example, it recognizes a sign that says "Cafe ABC" and converts it into text as "Cafe ABC."

[0099] The output is the converted text data.

[0100] Step 3:

[0101] The audio information acquired by the device is converted into text information.

[0102] The input is the audio data obtained in step 1.

[0103] Specifically, the device uses voice recognition technology to analyze voice data and convert it into text data. For example, a passerby's comment, "This cafe is delicious," is converted into text data.

[0104] The output is the converted text data.

[0105] Step 4:

[0106] The terminal transmits the converted text information to the server.

[0107] The input is the text data obtained in steps 2 and 3.

[0108] Specifically, the communication module in the terminal is used to send text data to a server via the Internet.

[0109] As an output, text data arrives at the server.

[0110] Step 5:

[0111] The server searches for relevant information on the web based on the received text information.

[0112] The input is the text data that arrived at the server in step 4.

[0113] Specifically, the server uses a web search engine (e.g., Google's API) to search for reviews, menus, location information, etc. related to "Cafe ABC."

[0114] The output is the search results.

[0115] Step 6:

[0116] The server sends the search results to the terminal.

[0117] The input is the search results obtained in step 5.

[0118] Specifically, the server uses a communication module to send search results to the device in a lightweight data format such as JSON.

[0119] As an output, the search results arrive at the terminal.

[0120] Step 7:

[0121] The device organizes the search results it obtains and displays them in AR format in the user's field of vision.

[0122] As input, there are the search results that arrived at the terminal in step 6.

[0123] Specifically, the device will overlay reviews and popular menu items for "Cafe ABC" on the smartglasses display. For example, it will show "Cafe ABC: Rating 4.5 stars, Popular menu item: Cheesecake."

[0124] As an output, the search results are displayed in AR format in the user's field of view.

[0125] Step 8:

[0126] The device collects user interest data and sends it to the server.

[0127] Inputs include user behavior data such as user gaze fixation and voice commands.

[0128] Specifically, the device detects the user's eye movements and records information when the user looks at a specific piece of information or issues a voice command such as "I'm interested in this menu item." This interest data is then sent to a server via the Internet.

[0129] As an output, the interest data arrives at the server.

[0130] Step 9:

[0131] The server analyzes the collected data and reflects it in future search results.

[0132] As input, there is the interest data that arrived at the server in step 8.

[0133] Specifically, the server analyzes the interest data and builds a model of the user's interests. Based on this model, the server can provide personalized results the next time the user searches or provides information.

[0134] The output is the analysis results, which are reflected in subsequent search results.

[0135] (Application example 1)

[0136] 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."

[0137] With conventional technology, users had limited means to obtain real-time product information in physical stores, making it difficult to quickly obtain reviews and promotional information about specific products. Furthermore, personalized information tailored to users' interests was not provided adequately. This could result in a poor user experience and a decrease in purchasing motivation.

[0138] 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.

[0139] In this invention, the server includes means for acquiring visual information from the outside world, means for acquiring auditory information from the outside world, means for converting the visual information into text information, means for converting the auditory information into text information, means for searching for related information on the web based on the converted text information, means for displaying the searched information in an augmented reality (AR) format, means for collecting data based on a user's interests, means for analyzing the collected data, and means for providing product information and reviews in an AR format in real time while the user is walking. This allows users to quickly and intuitively obtain product information in a physical store, and the provision of personalized information can improve the shopping experience.

[0140] "Visual information of the outside world" refers to image information of the environment and objects around the user, and is mainly acquired by a photographing device such as a camera.

[0141] "External auditory information" refers to the sounds and acoustic information around the user, and is mainly acquired by an acoustic collection device such as a microphone.

[0142] The "means for converting visual information into text information" refers to a means that uses optical character recognition (OCR) technology to convert acquired visual information into text information such as letters and numbers.

[0143] The "means for converting auditory information into text information" refers to a means that uses speech recognition technology to convert acquired auditory information into text information such as characters or words.

[0144] "Means for searching related information on the Web" refers to means including a search engine function for finding appropriate information on the Internet based on the converted text information.

[0145] "Augmented reality (AR) display" refers to a technology that displays digital information overlaid on real-world images, and is a method that uses display devices such as smart glasses.

[0146] The "means for collecting data based on user interests" refers to a means for collecting information about subjects in which the user has shown interest, such as the user's gaze or voice commands.

[0147] The "means for analyzing collected data" refers to a means for analyzing collected data on users' interests and understanding their preferences and tendencies.

[0148] "Means for providing product information and reviews in real time in AR format while the user is walking" refers to a means for instantly displaying product information and user reviews in augmented reality format through a visual device while the user is moving around in a physical store.

[0149] The "means for detecting the user's gaze" refers to a means that uses an eye-tracking device or technology for detecting and tracking the direction of the user's gaze and gaze point.

[0150] "Means for recognizing user voice commands" refers to means for using a voice recognition system to capture, understand and process voice instructions given by a user.

[0151] This invention provides a system that allows users to obtain product information and reviews in real time in a physical store. Specifically, the system uses smart glasses to obtain visual and auditory information from the outside world, generates text information based on that information, searches for related information on the web, and displays it in augmented reality (AR) format.

[0152] System configuration

[0153] The system consists of the following main components:

[0154] Hardware

[0155] Smart glasses: Equipped with a camera, microphone, display, and processor, they are worn by the user and capture visual and auditory information from the outside world.

[0156] Cloud server: Responsible for large-volume data processing and storage.

[0157] software

[0158] Optical Character Recognition (OCR) technology (e.g., Tesseract): converts captured visual information into text form.

[0159] Speech recognition technology (e.g., Google Cloud Speech-to-Text): converts captured auditory information into text format.

[0160] Web search engines (e.g., ElasticSearch®): Search for relevant information on the Internet based on converted text information.

[0161] Augmented reality (AR) technology (e.g., ARCore): The acquired information is displayed in AR format on the smart glasses display.

[0162] Eye tracking technology: Detects where the user is looking and identifies objects of interest.

[0163] Operational Overview

[0164] 1. Visual information acquisition and conversion: The smart glasses' camera captures products and signs in the store and converts them into text information using OCR technology.

[0165] 2. Acquisition and conversion of auditory information: The smart glasses' microphone records the user's voice commands and converts them into text information using voice recognition technology.

[0166] 3. Search for related information: The converted text information is sent to the cloud server, and related information is retrieved using a web search engine.

[0167] 4. Displaying information in AR format: The acquired information is overlaid on the smart glasses display in AR format.

[0168] 5. Collection and analysis of interest data: By recording the user's gaze and voice commands and analyzing them on a cloud server, we can understand the user's interests and concerns, and use this information to provide them in future visits.

[0169] Specific examples

[0170] For example, if a user is looking for a specific product in a store, the smartglasses' camera will recognize the product and convert it into text information such as "Product name XYZ." A web search will then be performed using the keywords "Product name XYZ review," and the retrieved review information will be displayed in AR on the smartglasses' display. Furthermore, if the user issues a voice command such as "I want to know the rating of this product," the voice will be converted into text, and additional review information will be searched for and displayed. If the user directs their gaze to specific information, that information will be recorded and used to personalize the search results for the next time.

[0171] Prompt Sentence Examples

[0172] When a user is searching for a specific product in a store,

[0173] The smart glasses camera captures the product name XYZ,

[0174] Convert "Product name XYZ" from camera footage into text using OCR.

[0175] Then, do a web search using the keywords "Product Name XYZ Review"

[0176] Display the acquired review information in AR on the smart glasses display.

[0177] Furthermore, if the user issues a voice command such as "I want to know the rating of this product,"

[0178] Convert speech to text and re-search and display additional review information.

[0179] When a user looks at a particular piece of information, record that information and use it to personalize your next search results.

[0180] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0181] Step 1:

[0182] The camera in the smart glasses captures the environment in a physical store. The input is a video of the products in the user's field of view. The processor in the smart glasses captures this video data in real time and sends it to the processing unit as visual information. The output is the captured video data.

[0183] Step 2:

[0184] The processor in the smart glasses converts the captured video data into text information using OCR technology. The captured video data is used as input. OCR technology (e.g., Tesseract) extracts text information from product names and signs and converts it into text information such as "Product Name XYZ." The output is the converted text information.

[0185] Step 3:

[0186] The microphone in the smart glasses records voice commands given by the user. The input obtained here is the user's voice information. This voice information is converted into text information using voice recognition technology (e.g., Google Cloud Speech-to-Text). For example, the voice command "I want to hear reviews of this product" is converted into text "I want to hear reviews of this product." The output is the text information of the converted voice.

[0187] Step 4:

[0188] The device sends the converted visual and auditory information to a cloud server. The text information converted by OCR and speech recognition is used as input. The cloud server searches for related information on the web based on the received text information. Specifically, it uses a web search engine (e.g., Elasticsearch) to execute a search query such as "Product name XYZ reviews" to retrieve related reviews and menu information. The output is related information as search results.

[0189] Step 5:

[0190] The cloud server organizes the retrieved relevant information and sends it to the smart glasses. The relevant information obtained through the search is used as input. First, the relevant information is formalized and converted into a format suitable for the smart glasses' display. The output is data formatted for AR display.

[0191] Step 6:

[0192] The smartglasses display displays the acquired information in an AR overlay format. The input here is formatted data sent from the cloud server. The smartglasses display overlays product reviews and menu information in the user's field of view. The output is AR display information overlaid on the physical store environment.

[0193] Step 7:

[0194] The eye-tracking function of smart glasses detects the user's gaze and records information that shows interest. The input is data on the direction of gaze and point of view. The eye-tracking technology analyzes in real time what information the user is looking at, and the results are recorded as data. The output is interest data.

[0195] Step 8:

[0196] The cloud server analyzes the collected user interest data. The input is interest data recorded using eye-tracking technology and voice commands. The server analyzes this data to understand the user's preferences and trends. This information is used for future searches and information provision. The output is the analyzed data on the user's preferences and trends.

[0197] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0198] The present invention combines a system that acquires visual and auditory information from the outside world in real time, searches for related information on the web based on that information, and displays it to the user in AR format with an emotion engine that recognizes the user's emotions. Specific embodiments of the present invention are described below.

[0199] First, the smart glasses, which are the terminals, acquire visual and auditory information from the outside world. Specifically, the cameras on the smart glasses capture images and microphones record audio. This data is sent in real time to a processing unit within the terminal.

[0200] The device then converts the acquired visual information into text using OCR technology. For example, it can recognize a cafe sign and convert it into text such as "Cafe ABC." Similarly, it converts auditory information into text using voice recognition technology. For example, it can recognize the conversation of a passerby and generate text such as "This cafe is delicious."

[0201] The captured video and audio data is then analyzed by the device's built-in emotion engine, which uses machine learning algorithms to identify emotions from the user's facial expressions and tone of voice, such as whether the user is happy, interested, or surprised.

[0202] The converted text information and the recognized emotion data are sent from the device to a server. The server then searches for related information on the web based on the received text information. For example, based on the keyword "cafe ABC," it can retrieve reviews, menus, and location details using a search engine such as Google. Furthermore, by taking emotion data into consideration, it can prioritize retrieving information that is likely to interest the user.

[0203] The search results are then sent back to the device, which then displays the information in AR format. For example, reviews and popular menu items for "Cafe ABC" are overlaid on the smartglasses display. This allows users to access relevant information in real time through their smartglasses while walking around town.

[0204] The device also collects interest data based on the user's gaze and voice commands. For example, if a user stares at a particular piece of information or says something like, "I'm interested in this cake," the device records it. By combining this with emotional data recognized by the emotion engine, more detailed interest analysis becomes possible.

[0205] The collected interest and emotion data is sent to the server for analysis. The server uses this data to understand the user's interest trends and reflect them in the next information provided. For example, if the user shows a strong interest in cafes, the server can prioritize displaying information about cafes from the next time onwards.

[0206] As a concrete example, if a user is walking down the street and spots a sign for "Cafe XYZ," the camera in the smart glasses will recognize the sign and convert it into text using OCR technology: "Cafe XYZ." Furthermore, if the user says, "I'm interested in the cake at this cafe," the speech recognition technology will convert the statement into text. At the same time, the emotion engine will recognize positive emotions from the user's interested facial expression and tone of voice. This information is sent to the server, which will search for detailed information about "Cafe XYZ" and prioritize information that is likely to interest the user. This information is then sent to the device and displayed in AR format on the smart glasses' display. The user can then check reviews and photos of the cake on the spot.

[0207] This type of system allows users to obtain and provide information in real time, significantly improving the user experience. Furthermore, by utilizing emotion data, more personalized information can be provided.

[0208] The processing flow will be explained below.

[0209] Step 1:

[0210] The device acquires visual and auditory information from the outside world. Specifically, the smart glasses' built-in camera captures video and microphone records audio. This data is stored in the device's memory in real time.

[0211] Step 2:

[0212] The visual information captured by the device is converted into text information using OCR technology. For example, if a sign that says "Cafe XYZ" is captured, the image data is analyzed and the text data "Cafe XYZ" is generated. Similarly, the auditory information captured is converted into text information using speech recognition technology. For example, a conversation such as "This cafe is delicious" is converted into text format.

[0213] Step 3:

[0214] The device uses an emotion engine to identify the user's emotions from visual and auditory information. It uses machine learning algorithms to analyze the user's facial expressions and tone of voice to recognize emotions such as joy, interest, and surprise. For example, if a user smiles at a cafe sign, the device will identify the emotion of joy.

[0215] Step 4:

[0216] The device transmits the converted text information and the identified emotion data to a server, which uploads the data to the server via the Internet.

[0217] Step 5:

[0218] The server searches for related information on the web based on the text information received. For example, you can perform a Google search using the keyword "cafe XYZ" to get reviews and menu information for that cafe.

[0219] Step 6:

[0220] The server sorts the search results and selects the most relevant information. It takes into account emotional data and prioritizes information that is likely to interest the user. For example, if the user expresses happiness, it will prioritize positive reviews of that cafe.

[0221] Step 7:

[0222] The server sends the organized information to the device, and the selected data is transferred to the device via the Internet.

[0223] Step 8:

[0224] The device displays the received information in AR format. The smart glasses display is configured to overlay reviews and popular menu items from "Cafe XYZ."

[0225] Step 9:

[0226] If a user expresses interest in a particular piece of information through gaze or voice command, the device will record that data. For example, if a user looks at a particular review or says, "I'm interested in this cake," the device will record that information.

[0227] Step 10:

[0228] The device sends the collected interest and emotion data to a server, which transmits the data in real time over the Internet.

[0229] Step 11:

[0230] The server analyzes the collected data to understand the user's interest trends and emotional patterns. Based on the results of this analysis, the server reflects this information in future information provision, providing the user with the most appropriate information. For example, in future search results, information about cafes that the user prefers will be displayed first.

[0231] Example 2

[0232] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0233] In modern society, there is an increasing need for users to obtain information in real time and make quick decisions. However, current technologies do not adequately provide real-time information based on visual and auditory information, limiting the user experience. In particular, the lack of personalized information provision that takes into account the user's emotions and interests reduces the efficiency of information gathering and user satisfaction. Therefore, there is a need for a system that can obtain visual and auditory information from the outside world in real time and provide information that reflects the user's emotions and interests.

[0234] 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.

[0235] In this invention, the server includes means for acquiring visual information from the outside world, means for acquiring auditory information from the outside world, means for converting the visual information into text information, means for converting the auditory information into text information, means for searching for related information on the web based on the converted text information and emotion data, means for displaying the searched information in an augmented reality format, means for recognizing a user's emotion, means for collecting data based on the user's interests, and means for analyzing the collected data and emotion data, thereby enabling a user to efficiently obtain personalized information based on their emotions and interests in real time.

[0236] "Visual information" refers to video and image data obtained from the external environment.

[0237] "Auditory information" refers to voice and acoustic data acquired from the external environment.

[0238] "Text information" is character string data obtained by analyzing and converting visual and auditory information.

[0239] "Emotion data" is data obtained as a result of analyzing the user's emotional state.

[0240] "Relevant information on the Web" is information that is searched for using the Internet and is relevant to the user's request or context.

[0241] "Augmented reality" is a technology that displays digital information overlaid on visual information from the real world.

[0242] The "means for recognizing user emotions" is an algorithm that analyzes video and audio data and identifies the user's emotions.

[0243] "Data based on user interests" is data that indicates the user's interests by analyzing input information such as the user's gaze and voice commands.

[0244] The "means for analyzing collected data and emotional data" refers to an algorithm that analyzes collected data based on the user's interests and emotions and uses it to provide information next time.

[0245] This invention combines a system that acquires visual and auditory information from the outside world in real time, searches for related information on the web based on that information, and displays it to the user in an augmented reality format with an emotion engine that recognizes the user's emotions.

[0246] First, the smart glasses, which are the terminal, capture visual information from the outside world using a camera and audio information from the outside world using a microphone. The captured video and audio data is then sent in real time to a processing unit within the terminal.

[0247] The device then converts the visual information into text using OCR technology. For example, it recognizes a cafe sign and converts it into text such as "Cafe ABC." Similarly, it converts auditory information into text using voice recognition technology. For example, it recognizes the conversation of a passerby and converts it into text such as "This cafe is delicious."

[0248] The device also uses the captured video and audio data to analyze the user's emotions through an emotion engine, which can identify emotions such as whether the user is happy, interested, or surprised. The emotion engine uses machine learning algorithms to recognize emotions from facial expressions and tone of voice.

[0249] The converted text information and the recognized emotion data are sent to the server. The server then searches for related information on the web based on the received text information. For example, based on the keyword "cafe ABC," it can retrieve reviews, menus, and location details using a search engine. Furthermore, by taking the emotion data into consideration, it can prioritize retrieving information that is likely to interest the user.

[0250] The search results are then sent back to the device, which then displays the information in augmented reality (AR) format. For example, reviews and popular menu items for "Cafe ABC" could be overlaid on the real-world display of the smart glasses, allowing users to obtain relevant information in real time.

[0251] The device also collects interest data based on the user's gaze and voice commands. When a user stares at a particular piece of information or says something like, "I'm interested in this cake," the device records it. By combining this with emotional data recognized by the emotion engine, more detailed interest analysis becomes possible.

[0252] The collected interest and emotion data is sent to the server, which uses that data to understand the user's interest trends and reflect them in the next information provided. For example, if the user shows a strong interest in cafes, information about cafes can be displayed preferentially from the next time onwards.

[0253] Detailed examples

[0254] If a user is walking down the street and spots a sign for "Cafe XYZ," the camera in the smart glasses will recognize the sign and convert it into text using OCR technology. If the user then says, "I'm interested in the cakes at this cafe," the speech recognition technology will convert the statement into text. At the same time, the emotion engine will recognize positive emotions from the user's interested facial expression and tone of voice. This information is sent to the server, which will search for detailed information about "Cafe XYZ" and prioritize information that is likely to interest the user. This information is then sent to the device and displayed in augmented reality (AR) on the smart glasses' display. The user can then check reviews and photos of the cakes on the spot.

[0255] Example prompt sentence:

[0256] "Please explain the detailed process flow of a system in which, when a user searches for information about a cafe, smart glasses acquire visual and auditory data, analyze the user's emotions with an emotion engine, and display the information in AR format."

[0257] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0258] Step 1:

[0259] The smart glasses, which serve as the terminal, collect visual and auditory information from the outside world.

[0260] Input: Video and audio data from the outside world.

[0261] Processing: The smart glasses' camera captures video and the microphone records audio.

[0262] Output: Captured video data and recorded audio data.

[0263] How it works: As the user walks around town, the smart glasses take pictures of buildings and signs, and record surrounding conversations and environmental sounds.

[0264] Step 2:

[0265] The visual information acquired by the device is converted into text information using OCR technology, and the auditory information is converted into text using voice recognition technology.

[0266] Input: Video and audio data.

[0267] Processing: Extract text from video data using OCR technology, and convert audio data into text using speech recognition technology.

[0268] Output: Text information.

[0269] Specific operation: The smart glasses capture a sign that reads "Cafe XYZ" and converts it into text information. Similarly, they recognize the speech of a passerby saying, "The cake at this cafe is delicious," and convert it into text.

[0270] Step 3:

[0271] The device uses video and audio data to analyze the user's emotions using an emotion engine.

[0272] Input: Video and audio data.

[0273] Processing: Machine learning algorithms are used to analyze facial expressions from video data and tone of voice from audio data to identify emotions.

[0274] Output: Emotion data.

[0275] Specific behavior: Analyze the user's facial expression and tone of voice when they look at the cafe sign to determine whether they are interested or pleased.

[0276] Step 4:

[0277] The terminal transmits the converted text information and emotion data to the server.

[0278] Input: Text information and emotion data.

[0279] Processing: Packetize the data and send it to the server.

[0280] Output: The data sent to the server.

[0281] Specific operation: The device sends the text information "Cafe XYZ" and emotion data indicating "interest" to the server.

[0282] Step 5:

[0283] The server searches for relevant information on the web based on the text information and emotion data received.

[0284] Input: Text information and emotion data.

[0285] Processing: A search engine is used to search for relevant information, and emotional data is taken into account to prioritize information that is likely to interest the user.

[0286] Output: Search results for related information.

[0287] Specific operation: The server searches for reviews and menu information about "Cafe XYZ" and selects information that is likely to interest the user.

[0288] Step 6:

[0289] The server sends the search results back to the terminal.

[0290] Input: Search results for related information.

[0291] Processing: The search results are packed into packets and sent to the terminal.

[0292] Output: Data sent to the terminal.

[0293] Specific operation: The server sends data such as reviews and popular menu items for "Cafe XYZ" to the device.

[0294] Step 7:

[0295] The information acquired by the device is displayed to the user in augmented reality (AR) format.

[0296] Input: Search results for related information.

[0297] Processing: Using augmented reality (AR) technology, digital information is superimposed on real-world scenes.

[0298] Output: Information displayed in AR format.

[0299] Specific operation: Reviews and photos of cakes from "Cafe XYZ" are overlaid on the real-world scene on the smart glasses display.

[0300] Step 8:

[0301] The device collects interest data based on the user's gaze and voice commands.

[0302] Input: User gaze data and voice commands.

[0303] Processing: Uses an eye gaze sensor to detect where the user is looking, and uses voice recognition technology to interpret voice commands.

[0304] Output: Interest data.

[0305] Specific behavior: If a user stares at a photo of a cake for a long time or says, "I'm interested in this cake," the device will collect that data.

[0306] Step 9:

[0307] The terminal transmits the collected interest data and emotion data to a server, which analyzes it.

[0308] Input: Interest data and emotion data.

[0309] Processing: The data is packaged into packets and sent to a server, which analyzes it using machine learning algorithms.

[0310] Output: Analysis results.

[0311] Specific operation: The collected data is sent to a server, which analyzes it to understand trends in user interests.

[0312] Step 10:

[0313] The server will use the analysis results to reflect the information provided from the next time onwards.

[0314] Input: Analysis results.

[0315] Processing: The analysis results are recorded in a database and used for the next information provision.

[0316] Output: Preparation for next information submission.

[0317] Specific operation: If the user shows a strong interest in the cafe, prepare to display information about the cafe preferentially from the next time onwards.

[0318] (Application example 2)

[0319] 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."

[0320] In autonomous vehicles, passengers and drivers have limited means to effectively grasp information about the outside world and obtain specific information in real time.In addition, there is a lack of information provided that reflects the user's emotions and interests, which leads to a lack of improvement in the user experience.

[0321] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for acquiring visual information of the outside world, means for acquiring auditory information of the outside world, and means for converting the visual information into text information. This makes it possible to acquire related information based on visual and auditory information in real time and provide personalized information that reflects the user's emotions and interests.

[0322] "Visual information of the outside world" refers to images and image data of the surroundings acquired using cameras and sensors installed in smart devices.

[0323] "Auditory information from the outside world" refers to surrounding voice and sound data acquired using a microphone installed in a smart device.

[0324] "Means for converting visual information into textual information" refers to optical character recognition (OCR) technology for converting video and image data into textual information.

[0325] "Means for converting auditory information into text information" refers to speech recognition technology for converting voice data into text information.

[0326] "Means for searching for related information on the web" refers to the function of searching for information on the Internet using a server or search engine and obtaining the necessary data.

[0327] "Means of displaying in augmented reality (AR) format" refers to technology for displaying acquired information by superimposing it on real-world images.

[0328] "Means for collecting data based on user interests" refers to a function that infers a user's interests from their gaze, voice commands, etc., and collects data related to those interests.

[0329] "Means for analyzing collected data" refers to the algorithms and methods used to analyze collected data and understand user interests and behavioral patterns.

[0330] "Means for analyzing user emotions" refers to machine learning algorithms that analyze a user's facial expressions and vocal tone to determine their emotional state.

[0331] "Smart devices installed in self-driving vehicles" refers to electronic devices with functions such as cameras, microphones, and displays that are used inside self-driving vehicles.

[0332] This invention is a system for improving the user experience in autonomous vehicles, which uses smart devices to acquire visual and auditory information from the outside world in real time, and searches for and displays relevant information based on that information. It also features the ability to analyze the user's emotions and provide information based on their interests.

[0333] First, the smart device acquires visual and auditory information from the outside world. Specifically, the smart device's built-in camera captures video and microphone records audio. This data is then sent in real time to a processing unit within the device.

[0334] The device then converts the acquired visual information into text using OCR technology. For example, if an autonomous vehicle recognizes a restaurant sign while driving through town, it will convert it into text such as "Restaurant ABC." Similarly, auditory information is converted into text using voice recognition technology. For example, if a passenger says, "I'm interested in the menu at this restaurant," this is recorded as text.

[0335] Furthermore, the captured video and audio data is analyzed by the device's built-in emotion engine, which uses machine learning algorithms to identify emotions from the user's facial expressions and tone of voice. For example, it can recognize whether the user is interested, happy, or surprised.

[0336] The converted text information and the recognized emotion data are sent from the device to a cloud server. The cloud server then searches for related information on the web based on the received text information. For example, based on the keyword "restaurant ABC," it can retrieve reviews, menus, and location details using a search engine. Furthermore, by taking emotion data into consideration, it can prioritize retrieving information that is likely to interest the user.

[0337] The search results are then sent back to the device, which then displays the information in AR format. For example, reviews and popular menu items for "Restaurant ABC" are overlaid on the smart device's display, allowing users to access relevant information in real time even while on the move.

[0338] The device also collects interest data based on the user's gaze and voice commands. For example, if a user stares at a particular piece of information or says something like "this dish looks delicious," the device records that data. By combining this data with the emotion data recognized by the emotion engine, more detailed interest analysis becomes possible.

[0339] The collected interest and emotion data is sent to a cloud server for analysis. The cloud server uses this data to understand the user's interest trends and reflect them in the next information provided. For example, if the user shows a strong interest in restaurants, it can prioritize displaying information about restaurants from the next time onwards.

[0340] As a concrete example:

[0341] As a specific example, if a user spots a sign for "Restaurant XYZ" while driving around town, the camera on the smart device will recognize the sign and convert it into text using OCR technology. Furthermore, if the user says, "I'm interested in the menu at this restaurant," the speech recognition technology will convert the comment into text. At the same time, the emotion engine will recognize positive emotions from the user's interested facial expression and tone of voice. This information is sent to a cloud server, which searches for detailed information about "Restaurant XYZ" and prioritizes information that is likely to interest the user. The information is then sent to the device and displayed in AR format on the smart device's display. The user can then check reviews and photos of the menu on the spot.

[0342] Prompt Sentence Examples

[0343] An example of a prompt is shown below.

[0344] When a user finds a restaurant sign, the smart device identifies the information, converts it into text, and prioritizes displaying reviews and menu information for that restaurant based on the user's sentiment. For example, if a user says, "I'm interested in the menu at this restaurant," the device converts that speech into text and retrieves and displays relevant information in real time.

[0345] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0346] Step 1:

[0347] The smart device, which is the terminal, acquires visual and auditory information from the outside world. As the user moves around the city, the camera captures the surrounding images and the microphone records the surrounding audio. These data are sent to a processing unit in real time. The input is the camera image data and audio data, and the output is the raw data sent to the processing unit.

[0348] Step 2:

[0349] The device converts the acquired visual information into text using OCR technology. For example, if a smart device's camera captures a restaurant sign, the video data is converted into text, generating the text "Restaurant XYZ." The input is video data, and the output is text data.

[0350] Step 3:

[0351] The device converts the acquired voice information into text information using voice recognition technology. For example, if a user says, "I'm interested in the menu of this restaurant," the voice data is converted into text information and related information is generated. The input is voice data, and the output is text data.

[0352] Step 4:

[0353] The device analyzes the captured video and audio data using an emotion engine to determine the user's emotions. For example, it recognizes the emotion "interesting" from the user's facial expression and tone of voice. The input is video and audio data, and the output is emotional data.

[0354] Step 5:

[0355] The converted text information and recognized emotion data are sent from the device to a cloud server. The server then searches for related information on the web based on the received text information. For example, based on the keyword "Restaurant XYZ," it retrieves reviews and menu information. The input is text data and emotion data, and the output is related information data.

[0356] Step 6:

[0357] The cloud server takes emotional data into consideration and prioritizes information that is likely to interest the user, and then sends the results back to the device. For example, if the user is expressing positive emotions, it will prioritize sending highly rated restaurant reviews. The input is text data and emotional data, and the output is related information data.

[0358] Step 7:

[0359] The device displays the acquired information in AR format. For example, reviews and popular menu items from "Restaurant XYZ" are overlaid on the smart device display, allowing the user to view them. The input is related information data, and the output is the displayed AR data.

[0360] Step 8:

[0361] The device continues to collect interest data based on the user's gaze and voice commands. For example, if the user stares at a particular piece of information or says, "I'm interested in this dish," the device records that data. The input is gaze data and voice data, and the output is interest data.

[0362] Step 9:

[0363] The collected interest and emotion data is sent to a cloud server for detailed analysis. The server uses this data to understand the user's interest trends and reflect them in the next information provided. For example, if the user has a strong interest in restaurants, information about restaurants will be displayed first from the next time onwards. The input is interest data and emotion data, and the output is analysis data for the next information provided.

[0364] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0365] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0366] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0367] [Second embodiment]

[0368] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0369] 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.

[0370] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0371] 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.

[0372] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0373] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0374] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0375] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0376] 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.

[0377] 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.

[0378] 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.

[0379] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0380] This invention is a system that acquires visual and auditory information from the outside world in real time, searches for related information on the web based on that information, and displays it to the user in AR format. Specific embodiments of this system are described below.

[0381] First, the smart glasses, which are the terminals, acquire visual and auditory information from the outside world. Specifically, the cameras on the smart glasses capture images and microphones record audio. This data is sent in real time to a processing unit within the terminal.

[0382] The device then uses OCR (optical character recognition) technology to convert the acquired visual information into text. For example, it can recognize a cafe sign and convert it into text information such as "Cafe ABC." Similarly, it can convert auditory information into text information using voice recognition technology. For example, it can recognize the conversation of a passerby and generate text information such as "This cafe is delicious."

[0383] The converted text information is sent from the device to the server. The server uses the received text information to search for related information on the web. Specifically, it uses a web search engine to retrieve reviews, menus, location information, etc. for "Cafe ABC." The search results are then sent back to the device.

[0384] The device organizes the search results and displays them in AR format in the user's field of view. For example, reviews and popular menu items for "Cafe ABC" are overlaid on the smartglasses' display. This allows users to access relevant information in real time through their smartglasses while walking around town.

[0385] Furthermore, the device collects user interest data. Specifically, when the user looks at a particular piece of information or issues a voice command such as "I'm interested in this menu item," the information is recorded. The collected interest data is sent to a server, which analyzes it to understand the user's interest trends. The results of this analysis are reflected in subsequent searches and information provision, enabling the device to provide the most appropriate information tailored to the user's preferences.

[0386] For example, if a user is walking down the street and spots a sign for "Cafe XYZ," the camera in the smart glasses will recognize the sign and convert it into text using OCR technology. If the user then says, "I'm interested in the cake at this cafe," the speech recognition technology will convert the comment into text. The server will then perform a web search based on the keywords "Cafe XYZ" and "cake" to retrieve relevant reviews and menu information. This information will then be sent to the device and displayed in AR format on the smart glasses' display. The user will then be able to check reviews and photos of the cake on the spot.

[0387] In this way, the present invention enables users to obtain and provide information in real time, improving the user experience. Furthermore, by collecting and analyzing data based on the user's interests, it becomes possible to provide more personalized information.

[0388] The processing flow will be explained below.

[0389] Step 1:

[0390] The device acquires visual and auditory information from the outside world using a camera mounted on the smart glasses to capture video and a microphone to record audio, and transmits this data in real time to a processing unit within the device.

[0391] Step 2:

[0392] The visual information acquired by the device is converted into text information using OCR technology. For example, the device recognizes a sign that reads "Cafe ABC" and converts the image into text. Similarly, the audio information acquired is converted into text information using speech recognition technology. For example, a passerby's speech, "This cafe is delicious," is converted into text.

[0393] Step 3:

[0394] The device sends the converted text information to a server. Specifically, the text data generated by OCR or voice recognition is uploaded to the server via the Internet.

[0395] Step 4:

[0396] The server searches for related information on the web based on the received text information. The server uses a search engine to retrieve reviews, menus, location information, etc. for "Cafe ABC." Multiple search engines can be used to gather more information.

[0397] Step 5:

[0398] The server sorts the search results and selects the most relevant information, for example, by prioritizing reviews with high user ratings and information from official websites.

[0399] Step 6:

[0400] The server then sends the organized information to the device, specifically, data summarizing related reviews and menu information, via the Internet.

[0401] Step 7:

[0402] The device will display the information it receives in AR format, overlaying reviews and popular menu items from Cafe ABC onto the smartglasses display.

[0403] Step 8:

[0404] If a user expresses interest in a particular piece of information through their gaze or voice, the device records that data. For example, if a user gazes intently at a particular review page or says, "I'm interested in this menu item."

[0405] Step 9:

[0406] The device sends the collected interest data, including the user's gaze information and voice commands, to the server.

[0407] Step 10:

[0408] The server analyzes the collected interest data to understand the user's interest trends, and reflects the results of this analysis in future search results and information provision, enabling it to provide the user with the most appropriate information.

[0409] Example 1

[0410] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0411] In modern society, users need to obtain the information they need quickly and efficiently. It is particularly important to improve the user experience by obtaining and utilizing information in real time, even while on the move or while actively using that information. However, existing technologies lack sufficient methods for appropriately obtaining and providing information that interests users in real time, and the information acquisition process is cumbersome. Furthermore, there are still challenges in identifying users' interest trends and providing personalized information based on them. Given these circumstances, there is a need for technology that can obtain and analyze users' visual and auditory information and provide relevant information in real time based on that information.

[0412] 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.

[0413] In this invention, the server includes means for acquiring visual information from the outside world, means for acquiring auditory information from the outside world, means for converting the visual information into text information, means for converting the auditory information into text information, means for searching for related information on the web based on the converted text information, means for displaying the searched information in an augmented reality (AR) format, means for collecting data based on a user's interests in real time, and means for analyzing the collected data and reflecting it in subsequent search results. This enables a user to quickly and efficiently obtain necessary information while on the move or while active, and further enables the provision of personalized information based on the user's interests and preferences.

[0414] "Visual information from the outside world" refers to visual information such as objects and letters that exist in the surrounding environment.

[0415] "External auditory information" refers to auditory information such as sounds and conversations that exist in the surrounding environment.

[0416] "Means for converting visual information into text information" refers to a technology for converting acquired visual information into text data, specifically the use of OCR (optical character recognition) technology.

[0417] The "means for converting auditory information into text information" refers to a technology for converting acquired auditory information into text data, specifically using voice recognition technology.

[0418] "Means for searching for related information on the web" refers to technology that searches for and obtains related information on the Internet based on converted text information.

[0419] "Augmented reality (AR) display" refers to technology that displays acquired information overlaid on the real world, allowing users to simultaneously view the real world and additional information.

[0420] "Means for collecting data based on user interests in real time" refers to technology that records and collects trends in interest in real time when a user shows interest in specific information.

[0421] "Means of analyzing collected data and reflecting it in subsequent search results" refers to technology that analyzes collected user interest data and personalizes the next information provided based on the results of that analysis.

[0422] This invention is a system that acquires visual and auditory information from the outside world in real time, searches for related information on the web based on that information, and displays it to the user in an augmented reality (AR) format. Specific embodiments of this system are described below.

[0423] First, the smart glasses, which are the terminals, acquire visual and auditory information from the outside world. Specifically, the cameras on the smart glasses capture images and microphones record audio. This data is sent in real time to a processing unit within the terminal.

[0424] The device then uses OCR (optical character recognition) technology to convert the acquired visual information into text. For example, it can recognize a cafe sign and convert it into text information such as "Cafe ABC." Similarly, it can convert auditory information into text information using voice recognition technology. For example, it can recognize the conversation of a passerby and generate text information such as "This cafe is delicious."

[0425] The converted text information is sent from the device to the server. The server uses the received text information to search for related information on the web. Specifically, it uses a web search engine to retrieve reviews, menus, location information, etc. for "Cafe ABC." The search results are then sent back to the device.

[0426] The device organizes the search results and displays them in AR format in the user's field of view. For example, reviews and popular menu items for "Cafe ABC" are overlaid on the smartglasses' display. This allows users to access relevant information in real time through their smartglasses while walking around town.

[0427] Furthermore, the device collects user interest data. Specifically, when the user looks at a particular piece of information or issues a voice command such as "I'm interested in this menu item," the information is recorded. The collected interest data is sent to a server, which analyzes it to understand the user's interest trends. The results of this analysis are reflected in subsequent searches and information provision, enabling the device to provide the most appropriate information tailored to the user's preferences.

[0428] As a concrete example, if a user is walking down the street and spots a sign for "Cafe XYZ," the camera in the smart glasses will recognize the sign and convert it into text using OCR technology. Furthermore, if the user says, "I'm interested in the cake at this cafe," the speech recognition technology will convert the comment into text. The server will perform a web search based on the keywords "Cafe XYZ" and "cake" to retrieve related reviews and menu information. This information will be sent to the device and displayed in AR format on the smart glasses' display. The user will then be able to check reviews and photos of the cake on the spot.

[0429] An example prompt is:

[0430] "I saw a sign for Cafe XYZ and would like more information and reviews. I'd also like to know what people think of their cakes."

[0431] In this way, the present invention enables users to obtain and provide information in real time, improving the user experience. Furthermore, by collecting and analyzing data based on the user's interests, it becomes possible to provide more personalized information.

[0432] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0433] Step 1:

[0434] The device acquires visual and auditory information from the outside world.

[0435] Inputs include images of the outside world that appear in the user's field of vision and sounds from the environment.

[0436] Specifically, the camera on the smart glasses captures video footage and the microphone records audio.

[0437] As an output, the captured video and audio data is sent to a processing unit inside the terminal.

[0438] Step 2:

[0439] The visual information acquired by the device is converted into text information.

[0440] The input is the video data acquired in step 1.

[0441] Specifically, the device uses OCR (optical character recognition) technology to analyze the characters in the video data and convert it into text data. For example, it recognizes a sign that says "Cafe ABC" and converts it into text as "Cafe ABC."

[0442] The output is the converted text data.

[0443] Step 3:

[0444] The audio information acquired by the device is converted into text information.

[0445] The input is the audio data obtained in step 1.

[0446] Specifically, the device uses voice recognition technology to analyze voice data and convert it into text data. For example, a passerby's comment, "This cafe is delicious," is converted into text data.

[0447] The output is the converted text data.

[0448] Step 4:

[0449] The terminal transmits the converted text information to the server.

[0450] The input is the text data obtained in steps 2 and 3.

[0451] Specifically, the communication module in the terminal is used to send text data to a server via the Internet.

[0452] As an output, text data arrives at the server.

[0453] Step 5:

[0454] The server searches for relevant information on the web based on the received text information.

[0455] The input is the text data that arrived at the server in step 4.

[0456] Specifically, the server uses a web search engine (e.g., Google's API) to search for reviews, menus, location information, etc. related to "Cafe ABC."

[0457] The output is the search results.

[0458] Step 6:

[0459] The server sends the search results to the terminal.

[0460] The input is the search results obtained in step 5.

[0461] Specifically, the server uses a communication module to send search results to the device in a lightweight data format such as JSON.

[0462] As an output, the search results arrive at the terminal.

[0463] Step 7:

[0464] The device organizes the search results it obtains and displays them in AR format in the user's field of vision.

[0465] As input, there are the search results that arrived at the terminal in step 6.

[0466] Specifically, the device will overlay reviews and popular menu items for "Cafe ABC" on the smartglasses display. For example, it will show "Cafe ABC: Rating 4.5 stars, Popular menu item: Cheesecake."

[0467] As an output, the search results are displayed in AR format in the user's field of view.

[0468] Step 8:

[0469] The device collects user interest data and sends it to the server.

[0470] Inputs include user behavior data such as user gaze fixation and voice commands.

[0471] Specifically, the device detects the user's eye movements and records information when the user looks at a specific piece of information or issues a voice command such as "I'm interested in this menu item." This interest data is then sent to a server via the Internet.

[0472] As an output, the interest data arrives at the server.

[0473] Step 9:

[0474] The server analyzes the collected data and reflects it in future search results.

[0475] As input, there is the interest data that arrived at the server in step 8.

[0476] Specifically, the server analyzes the interest data and builds a model of the user's interests. Based on this model, the server can provide personalized results the next time the user searches or provides information.

[0477] The output is the analysis results, which are reflected in subsequent search results.

[0478] (Application example 1)

[0479] 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."

[0480] With conventional technology, users had limited means to obtain real-time product information in physical stores, making it difficult to quickly obtain reviews and promotional information about specific products. Furthermore, personalized information tailored to users' interests was not provided adequately. This could result in a poor user experience and a decrease in purchasing motivation.

[0481] 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.

[0482] In this invention, the server includes means for acquiring visual information from the outside world, means for acquiring auditory information from the outside world, means for converting the visual information into text information, means for converting the auditory information into text information, means for searching for related information on the web based on the converted text information, means for displaying the searched information in an augmented reality (AR) format, means for collecting data based on a user's interests, means for analyzing the collected data, and means for providing product information and reviews in an AR format in real time while the user is walking. This allows users to quickly and intuitively obtain product information in a physical store, and the provision of personalized information can improve the shopping experience.

[0483] "Visual information of the outside world" refers to image information of the environment and objects around the user, and is mainly acquired by a photographing device such as a camera.

[0484] "External auditory information" refers to the sounds and acoustic information around the user, and is mainly acquired by an acoustic collection device such as a microphone.

[0485] The "means for converting visual information into text information" refers to a means that uses optical character recognition (OCR) technology to convert acquired visual information into text information such as letters and numbers.

[0486] The "means for converting auditory information into text information" refers to a means that uses speech recognition technology to convert acquired auditory information into text information such as characters or words.

[0487] "Means for searching related information on the Web" refers to means including a search engine function for finding appropriate information on the Internet based on the converted text information.

[0488] "Augmented reality (AR) display" refers to a technology that displays digital information overlaid on real-world images, and is a method that uses display devices such as smart glasses.

[0489] The "means for collecting data based on user interests" refers to a means for collecting information about subjects in which the user has shown interest, such as the user's gaze or voice commands.

[0490] The "means for analyzing collected data" refers to a means for analyzing collected data on users' interests and understanding their preferences and tendencies.

[0491] "Means for providing product information and reviews in real time in AR format while the user is walking" refers to a means for instantly displaying product information and user reviews in augmented reality format through a visual device while the user is moving around in a physical store.

[0492] The "means for detecting the user's gaze" refers to a means that uses an eye-tracking device or technology for detecting and tracking the direction of the user's gaze and gaze point.

[0493] "Means for recognizing user voice commands" refers to means for using a voice recognition system to capture, understand and process voice instructions given by a user.

[0494] This invention provides a system that allows users to obtain product information and reviews in real time in a physical store. Specifically, the system uses smart glasses to obtain visual and auditory information from the outside world, generates text information based on that information, searches for related information on the web, and displays it in augmented reality (AR) format.

[0495] System configuration

[0496] The system consists of the following main components:

[0497] Hardware

[0498] Smart glasses: Equipped with a camera, microphone, display, and processor, they are worn by the user and capture visual and auditory information from the outside world.

[0499] Cloud server: Responsible for large-volume data processing and storage.

[0500] software

[0501] Optical Character Recognition (OCR) technology (e.g., Tesseract): converts captured visual information into text form.

[0502] Speech recognition technology (e.g., Google Cloud Speech-to-Text): converts captured auditory information into text format.

[0503] Web search engines (e.g. Elasticsearch): Search for relevant information on the Internet based on converted text information.

[0504] Augmented reality (AR) technology (e.g., ARCore): The acquired information is displayed in AR format on the smart glasses display.

[0505] Eye tracking technology: Detects where the user is looking and identifies objects of interest.

[0506] Operational Overview

[0507] 1. Visual information acquisition and conversion: The smart glasses' camera captures products and signs in the store and converts them into text information using OCR technology.

[0508] 2. Acquisition and conversion of auditory information: The smart glasses' microphone records the user's voice commands and converts them into text information using voice recognition technology.

[0509] 3. Search for related information: The converted text information is sent to the cloud server, and related information is retrieved using a web search engine.

[0510] 4. Displaying information in AR format: The acquired information is overlaid on the smart glasses display in AR format.

[0511] 5. Collection and analysis of interest data: By recording the user's gaze and voice commands and analyzing them on a cloud server, we can understand the user's interests and concerns, and use this information to provide them in future visits.

[0512] Specific examples

[0513] For example, if a user is looking for a specific product in a store, the smartglasses' camera will recognize the product and convert it into text information such as "Product name XYZ." A web search will then be performed using the keywords "Product name XYZ review," and the retrieved review information will be displayed in AR on the smartglasses' display. Furthermore, if the user issues a voice command such as "I want to know the rating of this product," the voice will be converted into text, and additional review information will be searched for and displayed. If the user directs their gaze to specific information, that information will be recorded and used to personalize the search results for the next time.

[0514] Prompt Sentence Examples

[0515] When a user is searching for a specific product in a store,

[0516] The smart glasses camera captures the product name XYZ,

[0517] Convert "Product name XYZ" from camera footage into text using OCR.

[0518] Then, do a web search using the keywords "Product Name XYZ Review"

[0519] Display the acquired review information in AR on the smart glasses display.

[0520] Furthermore, if the user issues a voice command such as "I want to know the rating of this product,"

[0521] Convert speech to text and re-search and display additional review information.

[0522] When a user looks at a particular piece of information, record that information and use it to personalize your next search results.

[0523] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0524] Step 1:

[0525] The camera in the smart glasses captures the environment in a physical store. The input is a video of the products in the user's field of view. The processor in the smart glasses captures this video data in real time and sends it to the processing unit as visual information. The output is the captured video data.

[0526] Step 2:

[0527] The processor in the smart glasses converts the captured video data into text information using OCR technology. The captured video data is used as input. OCR technology (e.g., Tesseract) extracts text information from product names and signs and converts it into text information such as "Product Name XYZ." The output is the converted text information.

[0528] Step 3:

[0529] The microphone in the smart glasses records voice commands given by the user. The input obtained here is the user's voice information. This voice information is converted into text information using voice recognition technology (e.g., Google Cloud Speech-to-Text). For example, the voice command "I want to hear reviews of this product" is converted into text "I want to hear reviews of this product." The output is the text information of the converted voice.

[0530] Step 4:

[0531] The device sends the converted visual and auditory information to a cloud server. The text information converted by OCR and speech recognition is used as input. The cloud server searches for related information on the web based on the received text information. Specifically, it uses a web search engine (e.g., Elasticsearch) to execute a search query such as "Product name XYZ reviews" to retrieve related reviews and menu information. The output is related information as search results.

[0532] Step 5:

[0533] The cloud server organizes the retrieved relevant information and sends it to the smart glasses. The relevant information obtained through the search is used as input. First, the relevant information is formalized and converted into a format suitable for the smart glasses' display. The output is data formatted for AR display.

[0534] Step 6:

[0535] The smartglasses display displays the acquired information in an AR overlay format. The input here is formatted data sent from the cloud server. The smartglasses display overlays product reviews and menu information in the user's field of view. The output is AR display information overlaid on the physical store environment.

[0536] Step 7:

[0537] The eye-tracking function of smart glasses detects the user's gaze and records information that shows interest. The input is data on the direction of gaze and point of view. The eye-tracking technology analyzes in real time what information the user is looking at, and the results are recorded as data. The output is interest data.

[0538] Step 8:

[0539] The cloud server analyzes the collected user interest data. The input is interest data recorded using eye-tracking technology and voice commands. The server analyzes this data to understand the user's preferences and trends. This information is used for future searches and information provision. The output is the analyzed data on the user's preferences and trends.

[0540] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0541] The present invention combines a system that acquires visual and auditory information from the outside world in real time, searches for related information on the web based on that information, and displays it to the user in AR format with an emotion engine that recognizes the user's emotions. Specific embodiments of the present invention are described below.

[0542] First, the smart glasses, which are the terminals, acquire visual and auditory information from the outside world. Specifically, the cameras on the smart glasses capture images and microphones record audio. This data is sent in real time to a processing unit within the terminal.

[0543] The device then converts the acquired visual information into text using OCR technology. For example, it can recognize a cafe sign and convert it into text such as "Cafe ABC." Similarly, it converts auditory information into text using voice recognition technology. For example, it can recognize the conversation of a passerby and generate text such as "This cafe is delicious."

[0544] The captured video and audio data is then analyzed by the device's built-in emotion engine, which uses machine learning algorithms to identify emotions from the user's facial expressions and tone of voice, such as whether the user is happy, interested, or surprised.

[0545] The converted text information and the recognized emotion data are sent from the device to a server. The server then searches for related information on the web based on the received text information. For example, based on the keyword "cafe ABC," it can retrieve reviews, menus, and location details using a search engine such as Google. Furthermore, by taking emotion data into consideration, it can prioritize retrieving information that is likely to interest the user.

[0546] The search results are then sent back to the device, which then displays the information in AR format. For example, reviews and popular menu items for "Cafe ABC" are overlaid on the smartglasses display. This allows users to access relevant information in real time through their smartglasses while walking around town.

[0547] The device also collects interest data based on the user's gaze and voice commands. For example, if a user stares at a particular piece of information or says something like, "I'm interested in this cake," the device records it. By combining this with emotional data recognized by the emotion engine, more detailed interest analysis becomes possible.

[0548] The collected interest and emotion data is sent to the server for analysis. The server uses this data to understand the user's interest trends and reflect them in the next information provided. For example, if the user shows a strong interest in cafes, the server can prioritize displaying information about cafes from the next time onwards.

[0549] As a concrete example, if a user is walking down the street and spots a sign for "Cafe XYZ," the camera in the smart glasses will recognize the sign and convert it into text using OCR technology: "Cafe XYZ." Furthermore, if the user says, "I'm interested in the cake at this cafe," the speech recognition technology will convert the statement into text. At the same time, the emotion engine will recognize positive emotions from the user's interested facial expression and tone of voice. This information is sent to the server, which will search for detailed information about "Cafe XYZ" and prioritize information that is likely to interest the user. This information is then sent to the device and displayed in AR format on the smart glasses' display. The user can then check reviews and photos of the cake on the spot.

[0550] This type of system allows users to obtain and provide information in real time, significantly improving the user experience. Furthermore, by utilizing emotion data, more personalized information can be provided.

[0551] The processing flow will be explained below.

[0552] Step 1:

[0553] The device acquires visual and auditory information from the outside world. Specifically, the smart glasses' built-in camera captures video and microphone records audio. This data is stored in the device's memory in real time.

[0554] Step 2:

[0555] The visual information captured by the device is converted into text information using OCR technology. For example, if a sign that says "Cafe XYZ" is captured, the image data is analyzed and the text data "Cafe XYZ" is generated. Similarly, the auditory information captured is converted into text information using speech recognition technology. For example, a conversation such as "This cafe is delicious" is converted into text format.

[0556] Step 3:

[0557] The device uses an emotion engine to identify the user's emotions from visual and auditory information. It uses machine learning algorithms to analyze the user's facial expressions and tone of voice to recognize emotions such as joy, interest, and surprise. For example, if a user smiles at a cafe sign, the device will identify the emotion of joy.

[0558] Step 4:

[0559] The device transmits the converted text information and the identified emotion data to a server, which uploads the data to the server via the Internet.

[0560] Step 5:

[0561] The server searches for related information on the web based on the text information received. For example, you can perform a Google search using the keyword "cafe XYZ" to get reviews and menu information for that cafe.

[0562] Step 6:

[0563] The server sorts the search results and selects the most relevant information. It takes into account emotional data and prioritizes information that is likely to interest the user. For example, if the user expresses happiness, it will prioritize positive reviews of that cafe.

[0564] Step 7:

[0565] The server sends the organized information to the device, and the selected data is transferred to the device via the Internet.

[0566] Step 8:

[0567] The device displays the received information in AR format. The smart glasses display is configured to overlay reviews and popular menu items from "Cafe XYZ."

[0568] Step 9:

[0569] If a user expresses interest in a particular piece of information through gaze or voice command, the device will record that data. For example, if a user looks at a particular review or says, "I'm interested in this cake," the device will record that information.

[0570] Step 10:

[0571] The device sends the collected interest and emotion data to a server, which transmits the data in real time over the Internet.

[0572] Step 11:

[0573] The server analyzes the collected data to understand the user's interest trends and emotional patterns. Based on the results of this analysis, the server reflects this information in future information provision, providing the user with the most appropriate information. For example, in future search results, information about cafes that the user prefers will be displayed first.

[0574] Example 2

[0575] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0576] In modern society, there is an increasing need for users to obtain information in real time and make quick decisions. However, current technologies do not adequately provide real-time information based on visual and auditory information, limiting the user experience. In particular, the lack of personalized information provision that takes into account the user's emotions and interests reduces the efficiency of information gathering and user satisfaction. Therefore, there is a need for a system that can obtain visual and auditory information from the outside world in real time and provide information that reflects the user's emotions and interests.

[0577] 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.

[0578] In this invention, the server includes means for acquiring visual information from the outside world, means for acquiring auditory information from the outside world, means for converting the visual information into text information, means for converting the auditory information into text information, means for searching for related information on the web based on the converted text information and emotion data, means for displaying the searched information in an augmented reality format, means for recognizing a user's emotion, means for collecting data based on the user's interests, and means for analyzing the collected data and emotion data, thereby enabling a user to efficiently obtain personalized information based on their emotions and interests in real time.

[0579] "Visual information" refers to video and image data obtained from the external environment.

[0580] "Auditory information" refers to voice and acoustic data acquired from the external environment.

[0581] "Text information" is character string data obtained by analyzing and converting visual and auditory information.

[0582] "Emotion data" is data obtained as a result of analyzing the user's emotional state.

[0583] "Relevant information on the Web" is information that is searched for using the Internet and is relevant to the user's request or context.

[0584] "Augmented reality" is a technology that displays digital information overlaid on visual information from the real world.

[0585] The "means for recognizing user emotions" is an algorithm that analyzes video and audio data and identifies the user's emotions.

[0586] "Data based on user interests" is data that indicates the user's interests by analyzing input information such as the user's gaze and voice commands.

[0587] The "means for analyzing collected data and emotional data" refers to an algorithm that analyzes collected data based on the user's interests and emotions and uses it to provide information next time.

[0588] This invention combines a system that acquires visual and auditory information from the outside world in real time, searches for related information on the web based on that information, and displays it to the user in an augmented reality format with an emotion engine that recognizes the user's emotions.

[0589] First, the smart glasses, which are the terminal, capture visual information from the outside world using a camera and audio information from the outside world using a microphone. The captured video and audio data is then sent in real time to a processing unit within the terminal.

[0590] The device then converts the visual information into text using OCR technology. For example, it recognizes a cafe sign and converts it into text such as "Cafe ABC." Similarly, it converts auditory information into text using voice recognition technology. For example, it recognizes the conversation of a passerby and converts it into text such as "This cafe is delicious."

[0591] The device also uses the captured video and audio data to analyze the user's emotions through an emotion engine, which can identify emotions such as whether the user is happy, interested, or surprised. The emotion engine uses machine learning algorithms to recognize emotions from facial expressions and tone of voice.

[0592] The converted text information and the recognized emotion data are sent to the server. The server then searches for related information on the web based on the received text information. For example, based on the keyword "cafe ABC," it can retrieve reviews, menus, and location details using a search engine. Furthermore, by taking the emotion data into consideration, it can prioritize retrieving information that is likely to interest the user.

[0593] The search results are then sent back to the device, which then displays the information in augmented reality (AR) format. For example, reviews and popular menu items for "Cafe ABC" could be overlaid on the real-world display of the smart glasses, allowing users to obtain relevant information in real time.

[0594] The device also collects interest data based on the user's gaze and voice commands. When a user stares at a particular piece of information or says something like, "I'm interested in this cake," the device records it. By combining this with emotional data recognized by the emotion engine, more detailed interest analysis becomes possible.

[0595] The collected interest and emotion data is sent to the server, which uses that data to understand the user's interest trends and reflect them in the next information provided. For example, if the user shows a strong interest in cafes, information about cafes can be displayed preferentially from the next time onwards.

[0596] Detailed examples

[0597] If a user is walking down the street and spots a sign for "Cafe XYZ," the camera in the smart glasses will recognize the sign and convert it into text using OCR technology. If the user then says, "I'm interested in the cakes at this cafe," the speech recognition technology will convert the statement into text. At the same time, the emotion engine will recognize positive emotions from the user's interested facial expression and tone of voice. This information is sent to the server, which will search for detailed information about "Cafe XYZ" and prioritize information that is likely to interest the user. This information is then sent to the device and displayed in augmented reality (AR) on the smart glasses' display. The user can then check reviews and photos of the cakes on the spot.

[0598] Example prompt sentence:

[0599] "Please explain the detailed process flow of a system in which, when a user searches for information about a cafe, smart glasses acquire visual and auditory data, analyze the user's emotions with an emotion engine, and display the information in AR format."

[0600] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0601] Step 1:

[0602] The smart glasses, which serve as the terminal, collect visual and auditory information from the outside world.

[0603] Input: Video and audio data from the outside world.

[0604] Processing: The smart glasses' camera captures video and the microphone records audio.

[0605] Output: Captured video data and recorded audio data.

[0606] How it works: As the user walks around town, the smart glasses take pictures of buildings and signs, and record surrounding conversations and environmental sounds.

[0607] Step 2:

[0608] The visual information acquired by the device is converted into text information using OCR technology, and the auditory information is converted into text using voice recognition technology.

[0609] Input: Video and audio data.

[0610] Processing: Extract text from video data using OCR technology, and convert audio data into text using speech recognition technology.

[0611] Output: Text information.

[0612] Specific operation: The smart glasses capture a sign that reads "Cafe XYZ" and converts it into text information. Similarly, they recognize the speech of a passerby saying, "The cake at this cafe is delicious," and convert it into text.

[0613] Step 3:

[0614] The device uses video and audio data to analyze the user's emotions using an emotion engine.

[0615] Input: Video and audio data.

[0616] Processing: Machine learning algorithms are used to analyze facial expressions from video data and tone of voice from audio data to identify emotions.

[0617] Output: Emotion data.

[0618] Specific behavior: Analyze the user's facial expression and tone of voice when they look at the cafe sign to determine whether they are interested or pleased.

[0619] Step 4:

[0620] The terminal transmits the converted text information and emotion data to the server.

[0621] Input: Text information and emotion data.

[0622] Processing: Packetize the data and send it to the server.

[0623] Output: The data sent to the server.

[0624] Specific operation: The device sends the text information "Cafe XYZ" and emotion data indicating "interest" to the server.

[0625] Step 5:

[0626] The server searches for relevant information on the web based on the text information and emotion data received.

[0627] Input: Text information and emotion data.

[0628] Processing: A search engine is used to search for relevant information, and emotional data is taken into account to prioritize information that is likely to interest the user.

[0629] Output: Search results for related information.

[0630] Specific operation: The server searches for reviews and menu information about "Cafe XYZ" and selects information that is likely to interest the user.

[0631] Step 6:

[0632] The server sends the search results back to the terminal.

[0633] Input: Search results for related information.

[0634] Processing: The search results are packed into packets and sent to the terminal.

[0635] Output: Data sent to the terminal.

[0636] Specific operation: The server sends data such as reviews and popular menu items for "Cafe XYZ" to the device.

[0637] Step 7:

[0638] The information acquired by the device is displayed to the user in augmented reality (AR) format.

[0639] Input: Search results for related information.

[0640] Processing: Using augmented reality (AR) technology, digital information is superimposed on real-world scenes.

[0641] Output: Information displayed in AR format.

[0642] Specific operation: Reviews and photos of cakes from "Cafe XYZ" are overlaid on the real-world scene on the smart glasses display.

[0643] Step 8:

[0644] The device collects interest data based on the user's gaze and voice commands.

[0645] Input: User gaze data and voice commands.

[0646] Processing: Uses an eye gaze sensor to detect where the user is looking, and uses voice recognition technology to interpret voice commands.

[0647] Output: Interest data.

[0648] Specific behavior: If a user stares at a photo of a cake for a long time or says, "I'm interested in this cake," the device will collect that data.

[0649] Step 9:

[0650] The terminal transmits the collected interest data and emotion data to a server, which analyzes it.

[0651] Input: Interest data and emotion data.

[0652] Processing: The data is packaged into packets and sent to a server, which analyzes it using machine learning algorithms.

[0653] Output: Analysis results.

[0654] Specific operation: The collected data is sent to a server, which analyzes it to understand trends in user interests.

[0655] Step 10:

[0656] The server will use the analysis results to reflect the information provided from the next time onwards.

[0657] Input: Analysis results.

[0658] Processing: The analysis results are recorded in a database and used for the next information provision.

[0659] Output: Preparation for next information submission.

[0660] Specific operation: If the user shows a strong interest in the cafe, prepare to display information about the cafe preferentially from the next time onwards.

[0661] (Application example 2)

[0662] 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."

[0663] In autonomous vehicles, passengers and drivers have limited means to effectively grasp information about the outside world and obtain specific information in real time.In addition, there is a lack of information provided that reflects the user's emotions and interests, which leads to a lack of improvement in the user experience.

[0664] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for acquiring visual information of the outside world, means for acquiring auditory information of the outside world, and means for converting the visual information into text information. This makes it possible to acquire related information based on visual and auditory information in real time and provide personalized information that reflects the user's emotions and interests.

[0665] "Visual information of the outside world" refers to images and image data of the surroundings acquired using cameras and sensors installed in smart devices.

[0666] "Auditory information from the outside world" refers to surrounding voice and sound data acquired using a microphone installed in a smart device.

[0667] "Means for converting visual information into textual information" refers to optical character recognition (OCR) technology for converting video and image data into textual information.

[0668] "Means for converting auditory information into text information" refers to speech recognition technology for converting voice data into text information.

[0669] "Means for searching for related information on the web" refers to the function of searching for information on the Internet using a server or search engine and obtaining the necessary data.

[0670] "Means of displaying in augmented reality (AR) format" refers to technology for displaying acquired information by superimposing it on real-world images.

[0671] "Means for collecting data based on user interests" refers to a function that infers a user's interests from their gaze, voice commands, etc., and collects data related to those interests.

[0672] "Means for analyzing collected data" refers to the algorithms and methods used to analyze collected data and understand user interests and behavioral patterns.

[0673] "Means for analyzing user emotions" refers to machine learning algorithms that analyze a user's facial expressions and vocal tone to determine their emotional state.

[0674] "Smart devices installed in self-driving vehicles" refers to electronic devices with functions such as cameras, microphones, and displays that are used inside self-driving vehicles.

[0675] This invention is a system for improving the user experience in autonomous vehicles, which uses smart devices to acquire visual and auditory information from the outside world in real time, and searches for and displays relevant information based on that information. It also features the ability to analyze the user's emotions and provide information based on their interests.

[0676] First, the smart device acquires visual and auditory information from the outside world. Specifically, the smart device's built-in camera captures video and microphone records audio. This data is then sent in real time to a processing unit within the device.

[0677] The device then converts the acquired visual information into text using OCR technology. For example, if an autonomous vehicle recognizes a restaurant sign while driving through town, it will convert it into text such as "Restaurant ABC." Similarly, auditory information is converted into text using voice recognition technology. For example, if a passenger says, "I'm interested in the menu at this restaurant," this is recorded as text.

[0678] Furthermore, the captured video and audio data is analyzed by the device's built-in emotion engine, which uses machine learning algorithms to identify emotions from the user's facial expressions and tone of voice. For example, it can recognize whether the user is interested, happy, or surprised.

[0679] The converted text information and the recognized emotion data are sent from the device to a cloud server. The cloud server then searches for related information on the web based on the received text information. For example, based on the keyword "restaurant ABC," it can retrieve reviews, menus, and location details using a search engine. Furthermore, by taking emotion data into consideration, it can prioritize retrieving information that is likely to interest the user.

[0680] The search results are then sent back to the device, which then displays the information in AR format. For example, reviews and popular menu items for "Restaurant ABC" are overlaid on the smart device's display, allowing users to access relevant information in real time even while on the move.

[0681] The device also collects interest data based on the user's gaze and voice commands. For example, if a user stares at a particular piece of information or says something like "this dish looks delicious," the device records that data. By combining this data with the emotion data recognized by the emotion engine, more detailed interest analysis becomes possible.

[0682] The collected interest and emotion data is sent to a cloud server for analysis. The cloud server uses this data to understand the user's interest trends and reflect them in the next information provided. For example, if the user shows a strong interest in restaurants, it can prioritize displaying information about restaurants from the next time onwards.

[0683] As a concrete example:

[0684] As a specific example, if a user spots a sign for "Restaurant XYZ" while driving around town, the camera on the smart device will recognize the sign and convert it into text using OCR technology. Furthermore, if the user says, "I'm interested in the menu at this restaurant," the speech recognition technology will convert the comment into text. At the same time, the emotion engine will recognize positive emotions from the user's interested facial expression and tone of voice. This information is sent to a cloud server, which searches for detailed information about "Restaurant XYZ" and prioritizes information that is likely to interest the user. The information is then sent to the device and displayed in AR format on the smart device's display. The user can then check reviews and photos of the menu on the spot.

[0685] Prompt Sentence Examples

[0686] An example of a prompt is shown below.

[0687] When a user finds a restaurant sign, the smart device identifies the information, converts it into text, and prioritizes displaying reviews and menu information for that restaurant based on the user's sentiment. For example, if a user says, "I'm interested in the menu at this restaurant," the device converts that speech into text and retrieves and displays relevant information in real time.

[0688] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0689] Step 1:

[0690] The smart device, which is the terminal, acquires visual and auditory information from the outside world. As the user moves around the city, the camera captures the surrounding images and the microphone records the surrounding audio. These data are sent to a processing unit in real time. The input is the camera image data and audio data, and the output is the raw data sent to the processing unit.

[0691] Step 2:

[0692] The device converts the acquired visual information into text using OCR technology. For example, if a smart device's camera captures a restaurant sign, the video data is converted into text, generating the text "Restaurant XYZ." The input is video data, and the output is text data.

[0693] Step 3:

[0694] The device converts the acquired voice information into text information using voice recognition technology. For example, if a user says, "I'm interested in the menu of this restaurant," the voice data is converted into text information and related information is generated. The input is voice data, and the output is text data.

[0695] Step 4:

[0696] The device analyzes the captured video and audio data using an emotion engine to determine the user's emotions. For example, it recognizes the emotion "interesting" from the user's facial expression and tone of voice. The input is video and audio data, and the output is emotional data.

[0697] Step 5:

[0698] The converted text information and recognized emotion data are sent from the device to a cloud server. The server then searches for related information on the web based on the received text information. For example, based on the keyword "Restaurant XYZ," it retrieves reviews and menu information. The input is text data and emotion data, and the output is related information data.

[0699] Step 6:

[0700] The cloud server takes emotional data into consideration and prioritizes information that is likely to interest the user, and then sends the results back to the device. For example, if the user is expressing positive emotions, it will prioritize sending highly rated restaurant reviews. The input is text data and emotional data, and the output is related information data.

[0701] Step 7:

[0702] The device displays the acquired information in AR format. For example, reviews and popular menu items from "Restaurant XYZ" are overlaid on the smart device display, allowing the user to view them. The input is related information data, and the output is the displayed AR data.

[0703] Step 8:

[0704] The device continues to collect interest data based on the user's gaze and voice commands. For example, if the user stares at a particular piece of information or says, "I'm interested in this dish," the device records that data. The input is gaze data and voice data, and the output is interest data.

[0705] Step 9:

[0706] The collected interest and emotion data is sent to a cloud server for detailed analysis. The server uses this data to understand the user's interest trends and reflect them in the next information provided. For example, if the user has a strong interest in restaurants, information about restaurants will be displayed first from the next time onwards. The input is interest data and emotion data, and the output is analysis data for the next information provided.

[0707] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0708] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0709] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0710] [Third embodiment]

[0711] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0712] 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.

[0713] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0714] 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.

[0715] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0716] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0717] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0718] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0719] 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.

[0720] 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.

[0721] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0722] 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."

[0723] This invention is a system that acquires visual and auditory information from the outside world in real time, searches for related information on the web based on that information, and displays it to the user in AR format. Specific embodiments of this system are described below.

[0724] First, the smart glasses, which are the terminals, acquire visual and auditory information from the outside world. Specifically, the cameras on the smart glasses capture images and microphones record audio. This data is sent in real time to a processing unit within the terminal.

[0725] The device then uses OCR (optical character recognition) technology to convert the acquired visual information into text. For example, it can recognize a cafe sign and convert it into text information such as "Cafe ABC." Similarly, it can convert auditory information into text information using voice recognition technology. For example, it can recognize the conversation of a passerby and generate text information such as "This cafe is delicious."

[0726] The converted text information is sent from the device to the server. The server uses the received text information to search for related information on the web. Specifically, it uses a web search engine to retrieve reviews, menus, location information, etc. for "Cafe ABC." The search results are then sent back to the device.

[0727] The device organizes the search results and displays them in AR format in the user's field of view. For example, reviews and popular menu items for "Cafe ABC" are overlaid on the smartglasses' display. This allows users to access relevant information in real time through their smartglasses while walking around town.

[0728] Furthermore, the device collects user interest data. Specifically, when the user looks at a particular piece of information or issues a voice command such as "I'm interested in this menu item," the information is recorded. The collected interest data is sent to a server, which analyzes it to understand the user's interest trends. The results of this analysis are reflected in subsequent searches and information provision, enabling the device to provide the most appropriate information tailored to the user's preferences.

[0729] For example, if a user is walking down the street and spots a sign for "Cafe XYZ," the camera in the smart glasses will recognize the sign and convert it into text using OCR technology. If the user then says, "I'm interested in the cake at this cafe," the speech recognition technology will convert the comment into text. The server will then perform a web search based on the keywords "Cafe XYZ" and "cake" to retrieve relevant reviews and menu information. This information will then be sent to the device and displayed in AR format on the smart glasses' display. The user will then be able to check reviews and photos of the cake on the spot.

[0730] In this way, the present invention enables users to obtain and provide information in real time, improving the user experience. Furthermore, by collecting and analyzing data based on the user's interests, it becomes possible to provide more personalized information.

[0731] The processing flow will be explained below.

[0732] Step 1:

[0733] The device acquires visual and auditory information from the outside world using a camera mounted on the smart glasses to capture video and a microphone to record audio, and transmits this data in real time to a processing unit within the device.

[0734] Step 2:

[0735] The visual information acquired by the device is converted into text information using OCR technology. For example, the device recognizes a sign that reads "Cafe ABC" and converts the image into text. Similarly, the audio information acquired is converted into text information using speech recognition technology. For example, a passerby's speech, "This cafe is delicious," is converted into text.

[0736] Step 3:

[0737] The device sends the converted text information to a server. Specifically, the text data generated by OCR or voice recognition is uploaded to the server via the Internet.

[0738] Step 4:

[0739] The server searches for related information on the web based on the received text information. The server uses a search engine to retrieve reviews, menus, location information, etc. for "Cafe ABC." Multiple search engines can be used to gather more information.

[0740] Step 5:

[0741] The server sorts the search results and selects the most relevant information, for example, by prioritizing reviews with high user ratings and information from official websites.

[0742] Step 6:

[0743] The server then sends the organized information to the device, specifically, data summarizing related reviews and menu information, via the Internet.

[0744] Step 7:

[0745] The device will display the information it receives in AR format, overlaying reviews and popular menu items from Cafe ABC onto the smartglasses display.

[0746] Step 8:

[0747] If a user expresses interest in a particular piece of information through their gaze or voice, the device records that data. For example, if a user gazes intently at a particular review page or says, "I'm interested in this menu item."

[0748] Step 9:

[0749] The device sends the collected interest data, including the user's gaze information and voice commands, to the server.

[0750] Step 10:

[0751] The server analyzes the collected interest data to understand the user's interest trends, and reflects the results of this analysis in future search results and information provision, enabling it to provide the user with the most appropriate information.

[0752] Example 1

[0753] 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."

[0754] In modern society, users need to obtain the information they need quickly and efficiently. It is particularly important to improve the user experience by obtaining and utilizing information in real time, even while on the move or while actively using that information. However, existing technologies lack sufficient methods for appropriately obtaining and providing information that interests users in real time, and the information acquisition process is cumbersome. Furthermore, there are still challenges in identifying users' interest trends and providing personalized information based on them. Given these circumstances, there is a need for technology that can obtain and analyze users' visual and auditory information and provide relevant information in real time based on that information.

[0755] 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.

[0756] In this invention, the server includes means for acquiring visual information from the outside world, means for acquiring auditory information from the outside world, means for converting the visual information into text information, means for converting the auditory information into text information, means for searching for related information on the web based on the converted text information, means for displaying the searched information in an augmented reality (AR) format, means for collecting data based on a user's interests in real time, and means for analyzing the collected data and reflecting it in subsequent search results. This enables a user to quickly and efficiently obtain necessary information while on the move or while active, and further enables the provision of personalized information based on the user's interests and preferences.

[0757] "Visual information from the outside world" refers to visual information such as objects and letters that exist in the surrounding environment.

[0758] "External auditory information" refers to auditory information such as sounds and conversations that exist in the surrounding environment.

[0759] "Means for converting visual information into text information" refers to a technology for converting acquired visual information into text data, specifically the use of OCR (optical character recognition) technology.

[0760] The "means for converting auditory information into text information" refers to a technology for converting acquired auditory information into text data, specifically using voice recognition technology.

[0761] "Means for searching for related information on the web" refers to technology that searches for and obtains related information on the Internet based on converted text information.

[0762] "Augmented reality (AR) display" refers to technology that displays acquired information overlaid on the real world, allowing users to simultaneously view the real world and additional information.

[0763] "Means for collecting data based on user interests in real time" refers to technology that records and collects trends in interest in real time when a user shows interest in specific information.

[0764] "Means of analyzing collected data and reflecting it in subsequent search results" refers to technology that analyzes collected user interest data and personalizes the next information provided based on the results of that analysis.

[0765] This invention is a system that acquires visual and auditory information from the outside world in real time, searches for related information on the web based on that information, and displays it to the user in an augmented reality (AR) format. Specific embodiments of this system are described below.

[0766] First, the smart glasses, which are the terminals, acquire visual and auditory information from the outside world. Specifically, the cameras on the smart glasses capture images and microphones record audio. This data is sent in real time to a processing unit within the terminal.

[0767] The device then uses OCR (optical character recognition) technology to convert the acquired visual information into text. For example, it can recognize a cafe sign and convert it into text information such as "Cafe ABC." Similarly, it can convert auditory information into text information using voice recognition technology. For example, it can recognize the conversation of a passerby and generate text information such as "This cafe is delicious."

[0768] The converted text information is sent from the device to the server. The server uses the received text information to search for related information on the web. Specifically, it uses a web search engine to retrieve reviews, menus, location information, etc. for "Cafe ABC." The search results are then sent back to the device.

[0769] The device organizes the search results and displays them in AR format in the user's field of view. For example, reviews and popular menu items for "Cafe ABC" are overlaid on the smartglasses' display. This allows users to access relevant information in real time through their smartglasses while walking around town.

[0770] Furthermore, the device collects user interest data. Specifically, when the user looks at a particular piece of information or issues a voice command such as "I'm interested in this menu item," the information is recorded. The collected interest data is sent to a server, which analyzes it to understand the user's interest trends. The results of this analysis are reflected in subsequent searches and information provision, enabling the device to provide the most appropriate information tailored to the user's preferences.

[0771] As a concrete example, if a user is walking down the street and spots a sign for "Cafe XYZ," the camera in the smart glasses will recognize the sign and convert it into text using OCR technology. Furthermore, if the user says, "I'm interested in the cake at this cafe," the speech recognition technology will convert the comment into text. The server will perform a web search based on the keywords "Cafe XYZ" and "cake" to retrieve related reviews and menu information. This information will be sent to the device and displayed in AR format on the smart glasses' display. The user will then be able to check reviews and photos of the cake on the spot.

[0772] An example prompt is:

[0773] "I saw a sign for Cafe XYZ and would like more information and reviews. I'd also like to know what people think of their cakes."

[0774] In this way, the present invention enables users to obtain and provide information in real time, improving the user experience. Furthermore, by collecting and analyzing data based on the user's interests, it becomes possible to provide more personalized information.

[0775] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0776] Step 1:

[0777] The device acquires visual and auditory information from the outside world.

[0778] Inputs include images of the outside world that appear in the user's field of vision and sounds from the environment.

[0779] Specifically, the camera on the smart glasses captures video footage and the microphone records audio.

[0780] As an output, the captured video and audio data is sent to a processing unit inside the terminal.

[0781] Step 2:

[0782] The visual information acquired by the device is converted into text information.

[0783] The input is the video data acquired in step 1.

[0784] Specifically, the device uses OCR (optical character recognition) technology to analyze the characters in the video data and convert it into text data. For example, it recognizes a sign that says "Cafe ABC" and converts it into text as "Cafe ABC."

[0785] The output is the converted text data.

[0786] Step 3:

[0787] The audio information acquired by the device is converted into text information.

[0788] The input is the audio data obtained in step 1.

[0789] Specifically, the device uses voice recognition technology to analyze voice data and convert it into text data. For example, a passerby's comment, "This cafe is delicious," is converted into text data.

[0790] The output is the converted text data.

[0791] Step 4:

[0792] The terminal transmits the converted text information to the server.

[0793] The input is the text data obtained in steps 2 and 3.

[0794] Specifically, the communication module in the terminal is used to send text data to a server via the Internet.

[0795] As an output, text data arrives at the server.

[0796] Step 5:

[0797] The server searches for relevant information on the web based on the received text information.

[0798] The input is the text data that arrived at the server in step 4.

[0799] Specifically, the server uses a web search engine (e.g., Google's API) to search for reviews, menus, location information, etc. related to "Cafe ABC."

[0800] The output is the search results.

[0801] Step 6:

[0802] The server sends the search results to the terminal.

[0803] The input is the search results obtained in step 5.

[0804] Specifically, the server uses a communication module to send search results to the device in a lightweight data format such as JSON.

[0805] As an output, the search results arrive at the terminal.

[0806] Step 7:

[0807] The device organizes the search results it obtains and displays them in AR format in the user's field of vision.

[0808] As input, there are the search results that arrived at the terminal in step 6.

[0809] Specifically, the device will overlay reviews and popular menu items for "Cafe ABC" on the smartglasses display. For example, it will show "Cafe ABC: Rating 4.5 stars, Popular menu item: Cheesecake."

[0810] As an output, the search results are displayed in AR format in the user's field of view.

[0811] Step 8:

[0812] The device collects user interest data and sends it to the server.

[0813] Inputs include user behavior data such as user gaze fixation and voice commands.

[0814] Specifically, the device detects the user's eye movements and records information when the user looks at a specific piece of information or issues a voice command such as "I'm interested in this menu item." This interest data is then sent to a server via the Internet.

[0815] As an output, the interest data arrives at the server.

[0816] Step 9:

[0817] The server analyzes the collected data and reflects it in future search results.

[0818] As input, there is the interest data that arrived at the server in step 8.

[0819] Specifically, the server analyzes the interest data and builds a model of the user's interests. Based on this model, the server can provide personalized results the next time the user searches or provides information.

[0820] The output is the analysis results, which are reflected in subsequent search results.

[0821] (Application example 1)

[0822] 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."

[0823] With conventional technology, users had limited means to obtain real-time product information in physical stores, making it difficult to quickly obtain reviews and promotional information about specific products. Furthermore, personalized information tailored to users' interests was not provided adequately. This could result in a poor user experience and a decrease in purchasing motivation.

[0824] 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.

[0825] In this invention, the server includes means for acquiring visual information from the outside world, means for acquiring auditory information from the outside world, means for converting the visual information into text information, means for converting the auditory information into text information, means for searching for related information on the web based on the converted text information, means for displaying the searched information in an augmented reality (AR) format, means for collecting data based on a user's interests, means for analyzing the collected data, and means for providing product information and reviews in an AR format in real time while the user is walking. This allows users to quickly and intuitively obtain product information in a physical store, and the provision of personalized information can improve the shopping experience.

[0826] "Visual information of the outside world" refers to image information of the environment and objects around the user, and is mainly acquired by a photographing device such as a camera.

[0827] "External auditory information" refers to the sounds and acoustic information around the user, and is mainly acquired by an acoustic collection device such as a microphone.

[0828] The "means for converting visual information into text information" refers to a means that uses optical character recognition (OCR) technology to convert acquired visual information into text information such as letters and numbers.

[0829] The "means for converting auditory information into text information" refers to a means that uses speech recognition technology to convert acquired auditory information into text information such as characters or words.

[0830] "Means for searching related information on the Web" refers to means including a search engine function for finding appropriate information on the Internet based on the converted text information.

[0831] "Augmented reality (AR) display" refers to a technology that displays digital information overlaid on real-world images, and is a method that uses display devices such as smart glasses.

[0832] The "means for collecting data based on user interests" refers to a means for collecting information about subjects in which the user has shown interest, such as the user's gaze or voice commands.

[0833] The "means for analyzing collected data" refers to a means for analyzing collected data on users' interests and understanding their preferences and tendencies.

[0834] "Means for providing product information and reviews in real time in AR format while the user is walking" refers to a means for instantly displaying product information and user reviews in augmented reality format through a visual device while the user is moving around in a physical store.

[0835] The "means for detecting the user's gaze" refers to a means that uses an eye-tracking device or technology for detecting and tracking the direction of the user's gaze and gaze point.

[0836] "Means for recognizing user voice commands" refers to means for using a voice recognition system to capture, understand and process voice instructions given by a user.

[0837] This invention provides a system that allows users to obtain product information and reviews in real time in a physical store. Specifically, the system uses smart glasses to obtain visual and auditory information from the outside world, generates text information based on that information, searches for related information on the web, and displays it in augmented reality (AR) format.

[0838] System configuration

[0839] The system consists of the following main components:

[0840] Hardware

[0841] Smart glasses: Equipped with a camera, microphone, display, and processor, they are worn by the user and capture visual and auditory information from the outside world.

[0842] Cloud server: Responsible for large-volume data processing and storage.

[0843] software

[0844] Optical Character Recognition (OCR) technology (e.g., Tesseract): converts captured visual information into text form.

[0845] Speech recognition technology (e.g., Google Cloud Speech-to-Text): converts captured auditory information into text format.

[0846] Web search engines (e.g. Elasticsearch): Search for relevant information on the Internet based on converted text information.

[0847] Augmented reality (AR) technology (e.g., ARCore): The acquired information is displayed in AR format on the smart glasses display.

[0848] Eye tracking technology: Detects where the user is looking and identifies objects of interest.

[0849] Operational Overview

[0850] 1. Visual information acquisition and conversion: The smart glasses' camera captures products and signs in the store and converts them into text information using OCR technology.

[0851] 2. Acquisition and conversion of auditory information: The smart glasses' microphone records the user's voice commands and converts them into text information using voice recognition technology.

[0852] 3. Search for related information: The converted text information is sent to the cloud server, and related information is retrieved using a web search engine.

[0853] 4. Displaying information in AR format: The acquired information is overlaid on the smart glasses display in AR format.

[0854] 5. Collection and analysis of interest data: By recording the user's gaze and voice commands and analyzing them on a cloud server, we can understand the user's interests and concerns, and use this information to provide them in future visits.

[0855] Specific examples

[0856] For example, if a user is looking for a specific product in a store, the smartglasses' camera will recognize the product and convert it into text information such as "Product name XYZ." A web search will then be performed using the keywords "Product name XYZ review," and the retrieved review information will be displayed in AR on the smartglasses' display. Furthermore, if the user issues a voice command such as "I want to know the rating of this product," the voice will be converted into text, and additional review information will be searched for and displayed. If the user directs their gaze to specific information, that information will be recorded and used to personalize the search results for the next time.

[0857] Prompt Sentence Examples

[0858] When a user is searching for a specific product in a store,

[0859] The smart glasses camera captures the product name XYZ,

[0860] Convert "Product name XYZ" from camera footage into text using OCR.

[0861] Then, do a web search using the keywords "Product Name XYZ Review"

[0862] Display the acquired review information in AR on the smart glasses display.

[0863] Furthermore, if the user issues a voice command such as "I want to know the rating of this product,"

[0864] Convert speech to text and re-search and display additional review information.

[0865] When a user looks at a particular piece of information, record that information and use it to personalize your next search results.

[0866] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0867] Step 1:

[0868] The camera in the smart glasses captures the environment in a physical store. The input is a video of the products in the user's field of view. The processor in the smart glasses captures this video data in real time and sends it to the processing unit as visual information. The output is the captured video data.

[0869] Step 2:

[0870] The processor in the smart glasses converts the captured video data into text information using OCR technology. The captured video data is used as input. OCR technology (e.g., Tesseract) extracts text information from product names and signs and converts it into text information such as "Product Name XYZ." The output is the converted text information.

[0871] Step 3:

[0872] The microphone in the smart glasses records voice commands given by the user. The input obtained here is the user's voice information. This voice information is converted into text information using voice recognition technology (e.g., Google Cloud Speech-to-Text). For example, the voice command "I want to hear reviews of this product" is converted into text "I want to hear reviews of this product." The output is the text information of the converted voice.

[0873] Step 4:

[0874] The device sends the converted visual and auditory information to a cloud server. The text information converted by OCR and speech recognition is used as input. The cloud server searches for related information on the web based on the received text information. Specifically, it uses a web search engine (e.g., Elasticsearch) to execute a search query such as "Product name XYZ reviews" to retrieve related reviews and menu information. The output is related information as search results.

[0875] Step 5:

[0876] The cloud server organizes the retrieved relevant information and sends it to the smart glasses. The relevant information obtained through the search is used as input. First, the relevant information is formalized and converted into a format suitable for the smart glasses' display. The output is data formatted for AR display.

[0877] Step 6:

[0878] The smartglasses display displays the acquired information in an AR overlay format. The input here is formatted data sent from the cloud server. The smartglasses display overlays product reviews and menu information in the user's field of view. The output is AR display information overlaid on the physical store environment.

[0879] Step 7:

[0880] The eye-tracking function of smart glasses detects the user's gaze and records information that shows interest. The input is data on the direction of gaze and point of view. The eye-tracking technology analyzes in real time what information the user is looking at, and the results are recorded as data. The output is interest data.

[0881] Step 8:

[0882] The cloud server analyzes the collected user interest data. The input is interest data recorded using eye-tracking technology and voice commands. The server analyzes this data to understand the user's preferences and trends. This information is used for future searches and information provision. The output is the analyzed data on the user's preferences and trends.

[0883] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0884] The present invention combines a system that acquires visual and auditory information from the outside world in real time, searches for related information on the web based on that information, and displays it to the user in AR format with an emotion engine that recognizes the user's emotions. Specific embodiments of the present invention are described below.

[0885] First, the smart glasses, which are the terminals, acquire visual and auditory information from the outside world. Specifically, the cameras on the smart glasses capture images and microphones record audio. This data is sent in real time to a processing unit within the terminal.

[0886] The device then converts the acquired visual information into text using OCR technology. For example, it can recognize a cafe sign and convert it into text such as "Cafe ABC." Similarly, it converts auditory information into text using voice recognition technology. For example, it can recognize the conversation of a passerby and generate text such as "This cafe is delicious."

[0887] The captured video and audio data is then analyzed by the device's built-in emotion engine, which uses machine learning algorithms to identify emotions from the user's facial expressions and tone of voice, such as whether the user is happy, interested, or surprised.

[0888] The converted text information and the recognized emotion data are sent from the device to a server. The server then searches for related information on the web based on the received text information. For example, based on the keyword "cafe ABC," it can retrieve reviews, menus, and location details using a search engine such as Google. Furthermore, by taking emotion data into consideration, it can prioritize retrieving information that is likely to interest the user.

[0889] The search results are then sent back to the device, which then displays the information in AR format. For example, reviews and popular menu items for "Cafe ABC" are overlaid on the smartglasses display. This allows users to access relevant information in real time through their smartglasses while walking around town.

[0890] The device also collects interest data based on the user's gaze and voice commands. For example, if a user stares at a particular piece of information or says something like, "I'm interested in this cake," the device records it. By combining this with emotional data recognized by the emotion engine, more detailed interest analysis becomes possible.

[0891] The collected interest and emotion data is sent to the server for analysis. The server uses this data to understand the user's interest trends and reflect them in the next information provided. For example, if the user shows a strong interest in cafes, the server can prioritize displaying information about cafes from the next time onwards.

[0892] As a concrete example, if a user is walking down the street and spots a sign for "Cafe XYZ," the camera in the smart glasses will recognize the sign and convert it into text using OCR technology: "Cafe XYZ." Furthermore, if the user says, "I'm interested in the cake at this cafe," the speech recognition technology will convert the statement into text. At the same time, the emotion engine will recognize positive emotions from the user's interested facial expression and tone of voice. This information is sent to the server, which will search for detailed information about "Cafe XYZ" and prioritize information that is likely to interest the user. This information is then sent to the device and displayed in AR format on the smart glasses' display. The user can then check reviews and photos of the cake on the spot.

[0893] This type of system allows users to obtain and provide information in real time, significantly improving the user experience. Furthermore, by utilizing emotion data, more personalized information can be provided.

[0894] The processing flow will be explained below.

[0895] Step 1:

[0896] The device acquires visual and auditory information from the outside world. Specifically, the smart glasses' built-in camera captures video and microphone records audio. This data is stored in the device's memory in real time.

[0897] Step 2:

[0898] The visual information captured by the device is converted into text information using OCR technology. For example, if a sign that says "Cafe XYZ" is captured, the image data is analyzed and the text data "Cafe XYZ" is generated. Similarly, the auditory information captured is converted into text information using speech recognition technology. For example, a conversation such as "This cafe is delicious" is converted into text format.

[0899] Step 3:

[0900] The device uses an emotion engine to identify the user's emotions from visual and auditory information. It uses machine learning algorithms to analyze the user's facial expressions and tone of voice to recognize emotions such as joy, interest, and surprise. For example, if a user smiles at a cafe sign, the device will identify the emotion of joy.

[0901] Step 4:

[0902] The device transmits the converted text information and the identified emotion data to a server, which uploads the data to the server via the Internet.

[0903] Step 5:

[0904] The server searches for related information on the web based on the text information received. For example, you can perform a Google search using the keyword "cafe XYZ" to get reviews and menu information for that cafe.

[0905] Step 6:

[0906] The server sorts the search results and selects the most relevant information. It takes into account emotional data and prioritizes information that is likely to interest the user. For example, if the user expresses happiness, it will prioritize positive reviews of that cafe.

[0907] Step 7:

[0908] The server sends the organized information to the device, and the selected data is transferred to the device via the Internet.

[0909] Step 8:

[0910] The device displays the received information in AR format. The smart glasses display is configured to overlay reviews and popular menu items from "Cafe XYZ."

[0911] Step 9:

[0912] If a user expresses interest in a particular piece of information through gaze or voice command, the device will record that data. For example, if a user looks at a particular review or says, "I'm interested in this cake," the device will record that information.

[0913] Step 10:

[0914] The device sends the collected interest and emotion data to a server, which transmits the data in real time over the Internet.

[0915] Step 11:

[0916] The server analyzes the collected data to understand the user's interest trends and emotional patterns. Based on the results of this analysis, the server reflects this information in future information provision, providing the user with the most appropriate information. For example, in future search results, information about cafes that the user prefers will be displayed first.

[0917] Example 2

[0918] 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."

[0919] In modern society, there is an increasing need for users to obtain information in real time and make quick decisions. However, current technologies do not adequately provide real-time information based on visual and auditory information, limiting the user experience. In particular, the lack of personalized information provision that takes into account the user's emotions and interests reduces the efficiency of information gathering and user satisfaction. Therefore, there is a need for a system that can obtain visual and auditory information from the outside world in real time and provide information that reflects the user's emotions and interests.

[0920] 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.

[0921] In this invention, the server includes means for acquiring visual information from the outside world, means for acquiring auditory information from the outside world, means for converting the visual information into text information, means for converting the auditory information into text information, means for searching for related information on the web based on the converted text information and emotion data, means for displaying the searched information in an augmented reality format, means for recognizing a user's emotion, means for collecting data based on the user's interests, and means for analyzing the collected data and emotion data, thereby enabling a user to efficiently obtain personalized information based on their emotions and interests in real time.

[0922] "Visual information" refers to video and image data obtained from the external environment.

[0923] "Auditory information" refers to voice and acoustic data acquired from the external environment.

[0924] "Text information" is character string data obtained by analyzing and converting visual and auditory information.

[0925] "Emotion data" is data obtained as a result of analyzing the user's emotional state.

[0926] "Relevant information on the Web" is information that is searched for using the Internet and is relevant to the user's request or context.

[0927] "Augmented reality" is a technology that displays digital information overlaid on visual information from the real world.

[0928] The "means for recognizing user emotions" is an algorithm that analyzes video and audio data and identifies the user's emotions.

[0929] "Data based on user interests" is data that indicates the user's interests by analyzing input information such as the user's gaze and voice commands.

[0930] The "means for analyzing collected data and emotional data" refers to an algorithm that analyzes collected data based on the user's interests and emotions and uses it to provide information next time.

[0931] This invention combines a system that acquires visual and auditory information from the outside world in real time, searches for related information on the web based on that information, and displays it to the user in an augmented reality format with an emotion engine that recognizes the user's emotions.

[0932] First, the smart glasses, which are the terminal, capture visual information from the outside world using a camera and audio information from the outside world using a microphone. The captured video and audio data is then sent in real time to a processing unit within the terminal.

[0933] The device then converts the visual information into text using OCR technology. For example, it recognizes a cafe sign and converts it into text such as "Cafe ABC." Similarly, it converts auditory information into text using voice recognition technology. For example, it recognizes the conversation of a passerby and converts it into text such as "This cafe is delicious."

[0934] The device also uses the captured video and audio data to analyze the user's emotions through an emotion engine, which can identify emotions such as whether the user is happy, interested, or surprised. The emotion engine uses machine learning algorithms to recognize emotions from facial expressions and tone of voice.

[0935] The converted text information and the recognized emotion data are sent to the server. The server then searches for related information on the web based on the received text information. For example, based on the keyword "cafe ABC," it can retrieve reviews, menus, and location details using a search engine. Furthermore, by taking the emotion data into consideration, it can prioritize retrieving information that is likely to interest the user.

[0936] The search results are then sent back to the device, which then displays the information in augmented reality (AR) format. For example, reviews and popular menu items for "Cafe ABC" could be overlaid on the real-world display of the smart glasses, allowing users to obtain relevant information in real time.

[0937] The device also collects interest data based on the user's gaze and voice commands. When a user stares at a particular piece of information or says something like, "I'm interested in this cake," the device records it. By combining this with emotional data recognized by the emotion engine, more detailed interest analysis becomes possible.

[0938] The collected interest and emotion data is sent to the server, which uses that data to understand the user's interest trends and reflect them in the next information provided. For example, if the user shows a strong interest in cafes, information about cafes can be displayed preferentially from the next time onwards.

[0939] Detailed examples

[0940] If a user is walking down the street and spots a sign for "Cafe XYZ," the camera in the smart glasses will recognize the sign and convert it into text using OCR technology. If the user then says, "I'm interested in the cakes at this cafe," the speech recognition technology will convert the statement into text. At the same time, the emotion engine will recognize positive emotions from the user's interested facial expression and tone of voice. This information is sent to the server, which will search for detailed information about "Cafe XYZ" and prioritize information that is likely to interest the user. This information is then sent to the device and displayed in augmented reality (AR) on the smart glasses' display. The user can then check reviews and photos of the cakes on the spot.

[0941] Example prompt sentence:

[0942] "Please explain the detailed process flow of a system in which, when a user searches for information about a cafe, smart glasses acquire visual and auditory data, analyze the user's emotions with an emotion engine, and display the information in AR format."

[0943] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0944] Step 1:

[0945] The smart glasses, which serve as the terminal, collect visual and auditory information from the outside world.

[0946] Input: Video and audio data from the outside world.

[0947] Processing: The smart glasses' camera captures video and the microphone records audio.

[0948] Output: Captured video data and recorded audio data.

[0949] How it works: As the user walks around town, the smart glasses take pictures of buildings and signs, and record surrounding conversations and environmental sounds.

[0950] Step 2:

[0951] The visual information acquired by the device is converted into text information using OCR technology, and the auditory information is converted into text using voice recognition technology.

[0952] Input: Video and audio data.

[0953] Processing: Extract text from video data using OCR technology, and convert audio data into text using speech recognition technology.

[0954] Output: Text information.

[0955] Specific operation: The smart glasses capture a sign that reads "Cafe XYZ" and converts it into text information. Similarly, they recognize the speech of a passerby saying, "The cake at this cafe is delicious," and convert it into text.

[0956] Step 3:

[0957] The device uses video and audio data to analyze the user's emotions using an emotion engine.

[0958] Input: Video and audio data.

[0959] Processing: Machine learning algorithms are used to analyze facial expressions from video data and tone of voice from audio data to identify emotions.

[0960] Output: Emotion data.

[0961] Specific behavior: Analyze the user's facial expression and tone of voice when they look at the cafe sign to determine whether they are interested or pleased.

[0962] Step 4:

[0963] The terminal transmits the converted text information and emotion data to the server.

[0964] Input: Text information and emotion data.

[0965] Processing: Packetize the data and send it to the server.

[0966] Output: The data sent to the server.

[0967] Specific operation: The device sends the text information "Cafe XYZ" and emotion data indicating "interest" to the server.

[0968] Step 5:

[0969] The server searches for relevant information on the web based on the text information and emotion data received.

[0970] Input: Text information and emotion data.

[0971] Processing: A search engine is used to search for relevant information, and emotional data is taken into account to prioritize information that is likely to interest the user.

[0972] Output: Search results for related information.

[0973] Specific operation: The server searches for reviews and menu information about "Cafe XYZ" and selects information that is likely to interest the user.

[0974] Step 6:

[0975] The server sends the search results back to the terminal.

[0976] Input: Search results for related information.

[0977] Processing: The search results are packed into packets and sent to the terminal.

[0978] Output: Data sent to the terminal.

[0979] Specific operation: The server sends data such as reviews and popular menu items for "Cafe XYZ" to the device.

[0980] Step 7:

[0981] The information acquired by the device is displayed to the user in augmented reality (AR) format.

[0982] Input: Search results for related information.

[0983] Processing: Using augmented reality (AR) technology, digital information is superimposed on real-world scenes.

[0984] Output: Information displayed in AR format.

[0985] Specific operation: Reviews and photos of cakes from "Cafe XYZ" are overlaid on the real-world scene on the smart glasses display.

[0986] Step 8:

[0987] The device collects interest data based on the user's gaze and voice commands.

[0988] Input: User gaze data and voice commands.

[0989] Processing: Uses an eye gaze sensor to detect where the user is looking, and uses voice recognition technology to interpret voice commands.

[0990] Output: Interest data.

[0991] Specific behavior: If a user stares at a photo of a cake for a long time or says, "I'm interested in this cake," the device will collect that data.

[0992] Step 9:

[0993] The terminal transmits the collected interest data and emotion data to a server, which analyzes it.

[0994] Input: Interest data and emotion data.

[0995] Processing: The data is packaged into packets and sent to a server, which analyzes it using machine learning algorithms.

[0996] Output: Analysis results.

[0997] Specific operation: The collected data is sent to a server, which analyzes it to understand trends in user interests.

[0998] Step 10:

[0999] The server will use the analysis results to reflect the information provided from the next time onwards.

[1000] Input: Analysis results.

[1001] Processing: The analysis results are recorded in a database and used for the next information provision.

[1002] Output: Preparation for next information submission.

[1003] Specific operation: If the user shows a strong interest in the cafe, prepare to display information about the cafe preferentially from the next time onwards.

[1004] (Application example 2)

[1005] 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."

[1006] In autonomous vehicles, passengers and drivers have limited means to effectively grasp information about the outside world and obtain specific information in real time.In addition, there is a lack of information provided that reflects the user's emotions and interests, which leads to a lack of improvement in the user experience.

[1007] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for acquiring visual information of the outside world, means for acquiring auditory information of the outside world, and means for converting the visual information into text information. This makes it possible to acquire related information based on visual and auditory information in real time and provide personalized information that reflects the user's emotions and interests.

[1008] "Visual information of the outside world" refers to images and image data of the surroundings acquired using cameras and sensors installed in smart devices.

[1009] "Auditory information from the outside world" refers to surrounding voice and sound data acquired using a microphone installed in a smart device.

[1010] "Means for converting visual information into textual information" refers to optical character recognition (OCR) technology for converting video and image data into textual information.

[1011] "Means for converting auditory information into text information" refers to speech recognition technology for converting voice data into text information.

[1012] "Means for searching for related information on the web" refers to the function of searching for information on the Internet using a server or search engine and obtaining the necessary data.

[1013] "Means of displaying in augmented reality (AR) format" refers to technology for displaying acquired information by superimposing it on real-world images.

[1014] "Means for collecting data based on user interests" refers to a function that infers a user's interests from their gaze, voice commands, etc., and collects data related to those interests.

[1015] "Means for analyzing collected data" refers to the algorithms and methods used to analyze collected data and understand user interests and behavioral patterns.

[1016] "Means for analyzing user emotions" refers to machine learning algorithms that analyze a user's facial expressions and vocal tone to determine their emotional state.

[1017] "Smart devices installed in self-driving vehicles" refers to electronic devices with functions such as cameras, microphones, and displays that are used inside self-driving vehicles.

[1018] This invention is a system for improving the user experience in autonomous vehicles, which uses smart devices to acquire visual and auditory information from the outside world in real time, and searches for and displays relevant information based on that information. It also features the ability to analyze the user's emotions and provide information based on their interests.

[1019] First, the smart device acquires visual and auditory information from the outside world. Specifically, the smart device's built-in camera captures video and microphone records audio. This data is then sent in real time to a processing unit within the device.

[1020] The device then converts the acquired visual information into text using OCR technology. For example, if an autonomous vehicle recognizes a restaurant sign while driving through town, it will convert it into text such as "Restaurant ABC." Similarly, auditory information is converted into text using voice recognition technology. For example, if a passenger says, "I'm interested in the menu at this restaurant," this is recorded as text.

[1021] Furthermore, the captured video and audio data is analyzed by the device's built-in emotion engine, which uses machine learning algorithms to identify emotions from the user's facial expressions and tone of voice. For example, it can recognize whether the user is interested, happy, or surprised.

[1022] The converted text information and the recognized emotion data are sent from the device to a cloud server. The cloud server then searches for related information on the web based on the received text information. For example, based on the keyword "restaurant ABC," it can retrieve reviews, menus, and location details using a search engine. Furthermore, by taking emotion data into consideration, it can prioritize retrieving information that is likely to interest the user.

[1023] The search results are then sent back to the device, which then displays the information in AR format. For example, reviews and popular menu items for "Restaurant ABC" are overlaid on the smart device's display, allowing users to access relevant information in real time even while on the move.

[1024] The device also collects interest data based on the user's gaze and voice commands. For example, if a user stares at a particular piece of information or says something like "this dish looks delicious," the device records that data. By combining this data with the emotion data recognized by the emotion engine, more detailed interest analysis becomes possible.

[1025] The collected interest and emotion data is sent to a cloud server for analysis. The cloud server uses this data to understand the user's interest trends and reflect them in the next information provided. For example, if the user shows a strong interest in restaurants, it can prioritize displaying information about restaurants from the next time onwards.

[1026] As a concrete example:

[1027] As a specific example, if a user spots a sign for "Restaurant XYZ" while driving around town, the camera on the smart device will recognize the sign and convert it into text using OCR technology. Furthermore, if the user says, "I'm interested in the menu at this restaurant," the speech recognition technology will convert the comment into text. At the same time, the emotion engine will recognize positive emotions from the user's interested facial expression and tone of voice. This information is sent to a cloud server, which searches for detailed information about "Restaurant XYZ" and prioritizes information that is likely to interest the user. The information is then sent to the device and displayed in AR format on the smart device's display. The user can then check reviews and photos of the menu on the spot.

[1028] Prompt Sentence Examples

[1029] An example of a prompt is shown below.

[1030] When a user finds a restaurant sign, the smart device identifies the information, converts it into text, and prioritizes displaying reviews and menu information for that restaurant based on the user's sentiment. For example, if a user says, "I'm interested in the menu at this restaurant," the device converts that speech into text and retrieves and displays relevant information in real time.

[1031] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1032] Step 1:

[1033] The smart device, which is the terminal, acquires visual and auditory information from the outside world. As the user moves around the city, the camera captures the surrounding images and the microphone records the surrounding audio. These data are sent to a processing unit in real time. The input is the camera image data and audio data, and the output is the raw data sent to the processing unit.

[1034] Step 2:

[1035] The device converts the acquired visual information into text using OCR technology. For example, if a smart device's camera captures a restaurant sign, the video data is converted into text, generating the text "Restaurant XYZ." The input is video data, and the output is text data.

[1036] Step 3:

[1037] The device converts the acquired voice information into text information using voice recognition technology. For example, if a user says, "I'm interested in the menu of this restaurant," the voice data is converted into text information and related information is generated. The input is voice data, and the output is text data.

[1038] Step 4:

[1039] The device analyzes the captured video and audio data using an emotion engine to determine the user's emotions. For example, it recognizes the emotion "interesting" from the user's facial expression and tone of voice. The input is video and audio data, and the output is emotional data.

[1040] Step 5:

[1041] The converted text information and recognized emotion data are sent from the device to a cloud server. The server then searches for related information on the web based on the received text information. For example, based on the keyword "Restaurant XYZ," it retrieves reviews and menu information. The input is text data and emotion data, and the output is related information data.

[1042] Step 6:

[1043] The cloud server takes emotional data into consideration and prioritizes information that is likely to interest the user, and then sends the results back to the device. For example, if the user is expressing positive emotions, it will prioritize sending highly rated restaurant reviews. The input is text data and emotional data, and the output is related information data.

[1044] Step 7:

[1045] The device displays the acquired information in AR format. For example, reviews and popular menu items from "Restaurant XYZ" are overlaid on the smart device display, allowing the user to view them. The input is related information data, and the output is the displayed AR data.

[1046] Step 8:

[1047] The device continues to collect interest data based on the user's gaze and voice commands. For example, if the user stares at a particular piece of information or says, "I'm interested in this dish," the device records that data. The input is gaze data and voice data, and the output is interest data.

[1048] Step 9:

[1049] The collected interest and emotion data is sent to a cloud server for detailed analysis. The server uses this data to understand the user's interest trends and reflect them in the next information provided. For example, if the user has a strong interest in restaurants, information about restaurants will be displayed first from the next time onwards. The input is interest data and emotion data, and the output is analysis data for the next information provided.

[1050] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1051] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1052] 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.

[1053] [Fourth embodiment]

[1054] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1055] 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.

[1056] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1057] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1058] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1059] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1060] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1061] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1062] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1063] 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.

[1064] 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.

[1065] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1066] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1067] This invention is a system that acquires visual and auditory information from the outside world in real time, searches for related information on the web based on that information, and displays it to the user in AR format. Specific embodiments of this system are described below.

[1068] First, the smart glasses, which are the terminals, acquire visual and auditory information from the outside world. Specifically, the cameras on the smart glasses capture images and microphones record audio. This data is sent in real time to a processing unit within the terminal.

[1069] The device then uses OCR (optical character recognition) technology to convert the acquired visual information into text. For example, it can recognize a cafe sign and convert it into text information such as "Cafe ABC." Similarly, it can convert auditory information into text information using voice recognition technology. For example, it can recognize the conversation of a passerby and generate text information such as "This cafe is delicious."

[1070] The converted text information is sent from the device to the server. The server uses the received text information to search for related information on the web. Specifically, it uses a web search engine to retrieve reviews, menus, location information, etc. for "Cafe ABC." The search results are then sent back to the device.

[1071] The device organizes the search results and displays them in AR format in the user's field of view. For example, reviews and popular menu items for "Cafe ABC" are overlaid on the smartglasses' display. This allows users to access relevant information in real time through their smartglasses while walking around town.

[1072] Furthermore, the device collects user interest data. Specifically, when the user looks at a particular piece of information or issues a voice command such as "I'm interested in this menu item," the information is recorded. The collected interest data is sent to a server, which analyzes it to understand the user's interest trends. The results of this analysis are reflected in subsequent searches and information provision, enabling the device to provide the most appropriate information tailored to the user's preferences.

[1073] For example, if a user is walking down the street and spots a sign for "Cafe XYZ," the camera in the smart glasses will recognize the sign and convert it into text using OCR technology. If the user then says, "I'm interested in the cake at this cafe," the speech recognition technology will convert the comment into text. The server will then perform a web search based on the keywords "Cafe XYZ" and "cake" to retrieve relevant reviews and menu information. This information will then be sent to the device and displayed in AR format on the smart glasses' display. The user will then be able to check reviews and photos of the cake on the spot.

[1074] In this way, the present invention enables users to obtain and provide information in real time, improving the user experience. Furthermore, by collecting and analyzing data based on the user's interests, it becomes possible to provide more personalized information.

[1075] The processing flow will be explained below.

[1076] Step 1:

[1077] The device acquires visual and auditory information from the outside world using a camera mounted on the smart glasses to capture video and a microphone to record audio, and transmits this data in real time to a processing unit within the device.

[1078] Step 2:

[1079] The visual information acquired by the device is converted into text information using OCR technology. For example, the device recognizes a sign that reads "Cafe ABC" and converts the image into text. Similarly, the audio information acquired is converted into text information using speech recognition technology. For example, a passerby's speech, "This cafe is delicious," is converted into text.

[1080] Step 3:

[1081] The device sends the converted text information to a server. Specifically, the text data generated by OCR or voice recognition is uploaded to the server via the Internet.

[1082] Step 4:

[1083] The server searches for related information on the web based on the received text information. The server uses a search engine to retrieve reviews, menus, location information, etc. for "Cafe ABC." Multiple search engines can be used to gather more information.

[1084] Step 5:

[1085] The server sorts the search results and selects the most relevant information, for example, by prioritizing reviews with high user ratings and information from official websites.

[1086] Step 6:

[1087] The server then sends the organized information to the device, specifically, data summarizing related reviews and menu information, via the Internet.

[1088] Step 7:

[1089] The device will display the information it receives in AR format, overlaying reviews and popular menu items from Cafe ABC onto the smartglasses display.

[1090] Step 8:

[1091] If a user expresses interest in a particular piece of information through their gaze or voice, the device records that data. For example, if a user gazes intently at a particular review page or says, "I'm interested in this menu item."

[1092] Step 9:

[1093] The device sends the collected interest data, including the user's gaze information and voice commands, to the server.

[1094] Step 10:

[1095] The server analyzes the collected interest data to understand the user's interest trends, and reflects the results of this analysis in future search results and information provision, enabling it to provide the user with the most appropriate information.

[1096] Example 1

[1097] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1098] In modern society, users need to obtain the information they need quickly and efficiently. It is particularly important to improve the user experience by obtaining and utilizing information in real time, even while on the move or while actively using that information. However, existing technologies lack sufficient methods for appropriately obtaining and providing information that interests users in real time, and the information acquisition process is cumbersome. Furthermore, there are still challenges in identifying users' interest trends and providing personalized information based on them. Given these circumstances, there is a need for technology that can obtain and analyze users' visual and auditory information and provide relevant information in real time based on that information.

[1099] 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.

[1100] In this invention, the server includes means for acquiring visual information from the outside world, means for acquiring auditory information from the outside world, means for converting the visual information into text information, means for converting the auditory information into text information, means for searching for related information on the web based on the converted text information, means for displaying the searched information in an augmented reality (AR) format, means for collecting data based on a user's interests in real time, and means for analyzing the collected data and reflecting it in subsequent search results. This enables a user to quickly and efficiently obtain necessary information while on the move or while active, and further enables the provision of personalized information based on the user's interests and preferences.

[1101] "Visual information from the outside world" refers to visual information such as objects and letters that exist in the surrounding environment.

[1102] "External auditory information" refers to auditory information such as sounds and conversations that exist in the surrounding environment.

[1103] "Means for converting visual information into text information" refers to a technology for converting acquired visual information into text data, specifically the use of OCR (optical character recognition) technology.

[1104] The "means for converting auditory information into text information" refers to a technology for converting acquired auditory information into text data, specifically using voice recognition technology.

[1105] "Means for searching for related information on the web" refers to technology that searches for and obtains related information on the Internet based on converted text information.

[1106] "Augmented reality (AR) display" refers to technology that displays acquired information overlaid on the real world, allowing users to simultaneously view the real world and additional information.

[1107] "Means for collecting data based on user interests in real time" refers to technology that records and collects trends in interest in real time when a user shows interest in specific information.

[1108] "Means of analyzing collected data and reflecting it in subsequent search results" refers to technology that analyzes collected user interest data and personalizes the next information provided based on the results of that analysis.

[1109] This invention is a system that acquires visual and auditory information from the outside world in real time, searches for related information on the web based on that information, and displays it to the user in an augmented reality (AR) format. Specific embodiments of this system are described below.

[1110] First, the smart glasses, which are the terminals, acquire visual and auditory information from the outside world. Specifically, the cameras on the smart glasses capture images and microphones record audio. This data is sent in real time to a processing unit within the terminal.

[1111] The device then uses OCR (optical character recognition) technology to convert the acquired visual information into text. For example, it can recognize a cafe sign and convert it into text information such as "Cafe ABC." Similarly, it can convert auditory information into text information using voice recognition technology. For example, it can recognize the conversation of a passerby and generate text information such as "This cafe is delicious."

[1112] The converted text information is sent from the device to the server. The server uses the received text information to search for related information on the web. Specifically, it uses a web search engine to retrieve reviews, menus, location information, etc. for "Cafe ABC." The search results are then sent back to the device.

[1113] The device organizes the search results and displays them in AR format in the user's field of view. For example, reviews and popular menu items for "Cafe ABC" are overlaid on the smartglasses' display. This allows users to access relevant information in real time through their smartglasses while walking around town.

[1114] Furthermore, the device collects user interest data. Specifically, when the user looks at a particular piece of information or issues a voice command such as "I'm interested in this menu item," the information is recorded. The collected interest data is sent to a server, which analyzes it to understand the user's interest trends. The results of this analysis are reflected in subsequent searches and information provision, enabling the device to provide the most appropriate information tailored to the user's preferences.

[1115] As a concrete example, if a user is walking down the street and spots a sign for "Cafe XYZ," the camera in the smart glasses will recognize the sign and convert it into text using OCR technology. Furthermore, if the user says, "I'm interested in the cake at this cafe," the speech recognition technology will convert the comment into text. The server will perform a web search based on the keywords "Cafe XYZ" and "cake" to retrieve related reviews and menu information. This information will be sent to the device and displayed in AR format on the smart glasses' display. The user will then be able to check reviews and photos of the cake on the spot.

[1116] An example prompt is:

[1117] "I saw a sign for Cafe XYZ and would like more information and reviews. I'd also like to know what people think of their cakes."

[1118] In this way, the present invention enables users to obtain and provide information in real time, improving the user experience. Furthermore, by collecting and analyzing data based on the user's interests, it becomes possible to provide more personalized information.

[1119] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1120] Step 1:

[1121] The device acquires visual and auditory information from the outside world.

[1122] Inputs include images of the outside world that appear in the user's field of vision and sounds from the environment.

[1123] Specifically, the camera on the smart glasses captures video footage and the microphone records audio.

[1124] As an output, the captured video and audio data is sent to a processing unit inside the terminal.

[1125] Step 2:

[1126] The visual information acquired by the device is converted into text information.

[1127] The input is the video data acquired in step 1.

[1128] Specifically, the device uses OCR (optical character recognition) technology to analyze the characters in the video data and convert it into text data. For example, it recognizes a sign that says "Cafe ABC" and converts it into text as "Cafe ABC."

[1129] The output is the converted text data.

[1130] Step 3:

[1131] The audio information acquired by the device is converted into text information.

[1132] The input is the audio data obtained in step 1.

[1133] Specifically, the device uses voice recognition technology to analyze voice data and convert it into text data. For example, a passerby's comment, "This cafe is delicious," is converted into text data.

[1134] The output is the converted text data.

[1135] Step 4:

[1136] The terminal transmits the converted text information to the server.

[1137] The input is the text data obtained in steps 2 and 3.

[1138] Specifically, the communication module in the terminal is used to send text data to a server via the Internet.

[1139] As an output, text data arrives at the server.

[1140] Step 5:

[1141] The server searches for relevant information on the web based on the received text information.

[1142] The input is the text data that arrived at the server in step 4.

[1143] Specifically, the server uses a web search engine (e.g., Google's API) to search for reviews, menus, location information, etc. related to "Cafe ABC."

[1144] The output is the search results.

[1145] Step 6:

[1146] The server sends the search results to the terminal.

[1147] The input is the search results obtained in step 5.

[1148] Specifically, the server uses a communication module to send search results to the device in a lightweight data format such as JSON.

[1149] As an output, the search results arrive at the terminal.

[1150] Step 7:

[1151] The device organizes the search results it obtains and displays them in AR format in the user's field of vision.

[1152] As input, there are the search results that arrived at the terminal in step 6.

[1153] Specifically, the device will overlay reviews and popular menu items for "Cafe ABC" on the smartglasses display. For example, it will show "Cafe ABC: Rating 4.5 stars, Popular menu item: Cheesecake."

[1154] As an output, the search results are displayed in AR format in the user's field of view.

[1155] Step 8:

[1156] The device collects user interest data and sends it to the server.

[1157] Inputs include user behavior data such as user gaze fixation and voice commands.

[1158] Specifically, the device detects the user's eye movements and records information when the user looks at a specific piece of information or issues a voice command such as "I'm interested in this menu item." This interest data is then sent to a server via the Internet.

[1159] As an output, the interest data arrives at the server.

[1160] Step 9:

[1161] The server analyzes the collected data and reflects it in future search results.

[1162] As input, there is the interest data that arrived at the server in step 8.

[1163] Specifically, the server analyzes the interest data and builds a model of the user's interests. Based on this model, the server can provide personalized results the next time the user searches or provides information.

[1164] The output is the analysis results, which are reflected in subsequent search results.

[1165] (Application example 1)

[1166] 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."

[1167] With conventional technology, users had limited means to obtain real-time product information in physical stores, making it difficult to quickly obtain reviews and promotional information about specific products. Furthermore, personalized information tailored to users' interests was not provided adequately. This could result in a poor user experience and a decrease in purchasing motivation.

[1168] 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.

[1169] In this invention, the server includes means for acquiring visual information from the outside world, means for acquiring auditory information from the outside world, means for converting the visual information into text information, means for converting the auditory information into text information, means for searching for related information on the web based on the converted text information, means for displaying the searched information in an augmented reality (AR) format, means for collecting data based on a user's interests, means for analyzing the collected data, and means for providing product information and reviews in an AR format in real time while the user is walking. This allows users to quickly and intuitively obtain product information in a physical store, and the provision of personalized information can improve the shopping experience.

[1170] "Visual information of the outside world" refers to image information of the environment and objects around the user, and is mainly acquired by a photographing device such as a camera.

[1171] "External auditory information" refers to the sounds and acoustic information around the user, and is mainly acquired by an acoustic collection device such as a microphone.

[1172] The "means for converting visual information into text information" refers to a means that uses optical character recognition (OCR) technology to convert acquired visual information into text information such as letters and numbers.

[1173] The "means for converting auditory information into text information" refers to a means that uses speech recognition technology to convert acquired auditory information into text information such as characters or words.

[1174] "Means for searching related information on the Web" refers to means including a search engine function for finding appropriate information on the Internet based on the converted text information.

[1175] "Augmented reality (AR) display" refers to a technology that displays digital information overlaid on real-world images, and is a method that uses display devices such as smart glasses.

[1176] The "means for collecting data based on user interests" refers to a means for collecting information about subjects in which the user has shown interest, such as the user's gaze or voice commands.

[1177] The "means for analyzing collected data" refers to a means for analyzing collected data on users' interests and understanding their preferences and tendencies.

[1178] "Means for providing product information and reviews in real time in AR format while the user is walking" refers to a means for instantly displaying product information and user reviews in augmented reality format through a visual device while the user is moving around in a physical store.

[1179] The "means for detecting the user's gaze" refers to a means that uses an eye-tracking device or technology for detecting and tracking the direction of the user's gaze and gaze point.

[1180] "Means for recognizing user voice commands" refers to means for using a voice recognition system to capture, understand and process voice instructions given by a user.

[1181] This invention provides a system that allows users to obtain product information and reviews in real time in a physical store. Specifically, the system uses smart glasses to obtain visual and auditory information from the outside world, generates text information based on that information, searches for related information on the web, and displays it in augmented reality (AR) format.

[1182] System configuration

[1183] The system consists of the following main components:

[1184] Hardware

[1185] Smart glasses: Equipped with a camera, microphone, display, and processor, they are worn by the user and capture visual and auditory information from the outside world.

[1186] Cloud server: Responsible for large-volume data processing and storage.

[1187] software

[1188] Optical Character Recognition (OCR) technology (e.g., Tesseract): converts captured visual information into text form.

[1189] Speech recognition technology (e.g., Google Cloud Speech-to-Text): converts captured auditory information into text format.

[1190] Web search engines (e.g. Elasticsearch): Search for relevant information on the Internet based on converted text information.

[1191] Augmented reality (AR) technology (e.g., ARCore): The acquired information is displayed in AR format on the smart glasses display.

[1192] Eye tracking technology: Detects where the user is looking and identifies objects of interest.

[1193] Operational Overview

[1194] 1. Visual information acquisition and conversion: The smart glasses' camera captures products and signs in the store and converts them into text information using OCR technology.

[1195] 2. Acquisition and conversion of auditory information: The smart glasses' microphone records the user's voice commands and converts them into text information using voice recognition technology.

[1196] 3. Search for related information: The converted text information is sent to the cloud server, and related information is retrieved using a web search engine.

[1197] 4. Displaying information in AR format: The acquired information is overlaid on the smart glasses display in AR format.

[1198] 5. Collection and analysis of interest data: By recording the user's gaze and voice commands and analyzing them on a cloud server, we can understand the user's interests and concerns, and use this information to provide them in future visits.

[1199] Specific examples

[1200] For example, if a user is looking for a specific product in a store, the smartglasses' camera will recognize the product and convert it into text information such as "Product name XYZ." A web search will then be performed using the keywords "Product name XYZ review," and the retrieved review information will be displayed in AR on the smartglasses' display. Furthermore, if the user issues a voice command such as "I want to know the rating of this product," the voice will be converted into text, and additional review information will be searched for and displayed. If the user directs their gaze to specific information, that information will be recorded and used to personalize the search results for the next time.

[1201] Prompt Sentence Examples

[1202] When a user is searching for a specific product in a store,

[1203] The smart glasses camera captures the product name XYZ,

[1204] Convert "Product name XYZ" from camera footage into text using OCR.

[1205] Then, do a web search using the keywords "Product Name XYZ Review"

[1206] Display the acquired review information in AR on the smart glasses display.

[1207] Furthermore, if the user issues a voice command such as "I want to know the rating of this product,"

[1208] Convert speech to text and re-search and display additional review information.

[1209] When a user looks at a particular piece of information, record that information and use it to personalize your next search results.

[1210] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1211] Step 1:

[1212] The camera in the smart glasses captures the environment in a physical store. The input is a video of the products in the user's field of view. The processor in the smart glasses captures this video data in real time and sends it to the processing unit as visual information. The output is the captured video data.

[1213] Step 2:

[1214] The processor in the smart glasses converts the captured video data into text information using OCR technology. The captured video data is used as input. OCR technology (e.g., Tesseract) extracts text information from product names and signs and converts it into text information such as "Product Name XYZ." The output is the converted text information.

[1215] Step 3:

[1216] The microphone in the smart glasses records voice commands given by the user. The input obtained here is the user's voice information. This voice information is converted into text information using voice recognition technology (e.g., Google Cloud Speech-to-Text). For example, the voice command "I want to hear reviews of this product" is converted into text "I want to hear reviews of this product." The output is the text information of the converted voice.

[1217] Step 4:

[1218] The device sends the converted visual and auditory information to a cloud server. The text information converted by OCR and speech recognition is used as input. The cloud server searches for related information on the web based on the received text information. Specifically, it uses a web search engine (e.g., Elasticsearch) to execute a search query such as "Product name XYZ reviews" to retrieve related reviews and menu information. The output is related information as search results.

[1219] Step 5:

[1220] The cloud server organizes the retrieved relevant information and sends it to the smart glasses. The relevant information obtained through the search is used as input. First, the relevant information is formalized and converted into a format suitable for the smart glasses' display. The output is data formatted for AR display.

[1221] Step 6:

[1222] The smartglasses display displays the acquired information in an AR overlay format. The input here is formatted data sent from the cloud server. The smartglasses display overlays product reviews and menu information in the user's field of view. The output is AR display information overlaid on the physical store environment.

[1223] Step 7:

[1224] The eye-tracking function of smart glasses detects the user's gaze and records information that shows interest. The input is data on the direction of gaze and point of view. The eye-tracking technology analyzes in real time what information the user is looking at, and the results are recorded as data. The output is interest data.

[1225] Step 8:

[1226] The cloud server analyzes the collected user interest data. The input is interest data recorded using eye-tracking technology and voice commands. The server analyzes this data to understand the user's preferences and trends. This information is used for future searches and information provision. The output is the analyzed data on the user's preferences and trends.

[1227] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1228] The present invention combines a system that acquires visual and auditory information from the outside world in real time, searches for related information on the web based on that information, and displays it to the user in AR format with an emotion engine that recognizes the user's emotions. Specific embodiments of the present invention are described below.

[1229] First, the smart glasses, which are the terminals, acquire visual and auditory information from the outside world. Specifically, the cameras on the smart glasses capture images and microphones record audio. This data is sent in real time to a processing unit within the terminal.

[1230] The device then converts the acquired visual information into text using OCR technology. For example, it can recognize a cafe sign and convert it into text such as "Cafe ABC." Similarly, it converts auditory information into text using voice recognition technology. For example, it can recognize the conversation of a passerby and generate text such as "This cafe is delicious."

[1231] The captured video and audio data is then analyzed by the device's built-in emotion engine, which uses machine learning algorithms to identify emotions from the user's facial expressions and tone of voice, such as whether the user is happy, interested, or surprised.

[1232] The converted text information and the recognized emotion data are sent from the device to a server. The server then searches for related information on the web based on the received text information. For example, based on the keyword "cafe ABC," it can retrieve reviews, menus, and location details using a search engine such as Google. Furthermore, by taking emotion data into consideration, it can prioritize retrieving information that is likely to interest the user.

[1233] The search results are then sent back to the device, which then displays the information in AR format. For example, reviews and popular menu items for "Cafe ABC" are overlaid on the smartglasses display. This allows users to access relevant information in real time through their smartglasses while walking around town.

[1234] The device also collects interest data based on the user's gaze and voice commands. For example, if a user stares at a particular piece of information or says something like, "I'm interested in this cake," the device records it. By combining this with emotional data recognized by the emotion engine, more detailed interest analysis becomes possible.

[1235] The collected interest and emotion data is sent to the server for analysis. The server uses this data to understand the user's interest trends and reflect them in the next information provided. For example, if the user shows a strong interest in cafes, the server can prioritize displaying information about cafes from the next time onwards.

[1236] As a concrete example, if a user is walking down the street and spots a sign for "Cafe XYZ," the camera in the smart glasses will recognize the sign and convert it into text using OCR technology: "Cafe XYZ." Furthermore, if the user says, "I'm interested in the cake at this cafe," the speech recognition technology will convert the statement into text. At the same time, the emotion engine will recognize positive emotions from the user's interested facial expression and tone of voice. This information is sent to the server, which will search for detailed information about "Cafe XYZ" and prioritize information that is likely to interest the user. This information is then sent to the device and displayed in AR format on the smart glasses' display. The user can then check reviews and photos of the cake on the spot.

[1237] This type of system allows users to obtain and provide information in real time, significantly improving the user experience. Furthermore, by utilizing emotion data, more personalized information can be provided.

[1238] The processing flow will be explained below.

[1239] Step 1:

[1240] The device acquires visual and auditory information from the outside world. Specifically, the smart glasses' built-in camera captures video and microphone records audio. This data is stored in the device's memory in real time.

[1241] Step 2:

[1242] The visual information captured by the device is converted into text information using OCR technology. For example, if a sign that says "Cafe XYZ" is captured, the image data is analyzed and the text data "Cafe XYZ" is generated. Similarly, the auditory information captured is converted into text information using speech recognition technology. For example, a conversation such as "This cafe is delicious" is converted into text format.

[1243] Step 3:

[1244] The device uses an emotion engine to identify the user's emotions from visual and auditory information. It uses machine learning algorithms to analyze the user's facial expressions and tone of voice to recognize emotions such as joy, interest, and surprise. For example, if a user smiles at a cafe sign, the device will identify the emotion of joy.

[1245] Step 4:

[1246] The device transmits the converted text information and the identified emotion data to a server, which uploads the data to the server via the Internet.

[1247] Step 5:

[1248] The server searches for related information on the web based on the text information received. For example, you can perform a Google search using the keyword "cafe XYZ" to get reviews and menu information for that cafe.

[1249] Step 6:

[1250] The server sorts the search results and selects the most relevant information. It takes into account emotional data and prioritizes information that is likely to interest the user. For example, if the user expresses happiness, it will prioritize positive reviews of that cafe.

[1251] Step 7:

[1252] The server sends the organized information to the device, and the selected data is transferred to the device via the Internet.

[1253] Step 8:

[1254] The device displays the received information in AR format. The smart glasses display is configured to overlay reviews and popular menu items from "Cafe XYZ."

[1255] Step 9:

[1256] If a user expresses interest in a particular piece of information through gaze or voice command, the device will record that data. For example, if a user looks at a particular review or says, "I'm interested in this cake," the device will record that information.

[1257] Step 10:

[1258] The device sends the collected interest and emotion data to a server, which transmits the data in real time over the Internet.

[1259] Step 11:

[1260] The server analyzes the collected data to understand the user's interest trends and emotional patterns. Based on the results of this analysis, the server reflects this information in future information provision, providing the user with the most appropriate information. For example, in future search results, information about cafes that the user prefers will be displayed first.

[1261] Example 2

[1262] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1263] In modern society, there is an increasing need for users to obtain information in real time and make quick decisions. However, current technologies do not adequately provide real-time information based on visual and auditory information, limiting the user experience. In particular, the lack of personalized information provision that takes into account the user's emotions and interests reduces the efficiency of information gathering and user satisfaction. Therefore, there is a need for a system that can obtain visual and auditory information from the outside world in real time and provide information that reflects the user's emotions and interests.

[1264] 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.

[1265] In this invention, the server includes means for acquiring visual information from the outside world, means for acquiring auditory information from the outside world, means for converting the visual information into text information, means for converting the auditory information into text information, means for searching for related information on the web based on the converted text information and emotion data, means for displaying the searched information in an augmented reality format, means for recognizing a user's emotion, means for collecting data based on the user's interests, and means for analyzing the collected data and emotion data, thereby enabling a user to efficiently obtain personalized information based on their emotions and interests in real time.

[1266] "Visual information" refers to video and image data obtained from the external environment.

[1267] "Auditory information" refers to voice and acoustic data acquired from the external environment.

[1268] "Text information" is character string data obtained by analyzing and converting visual and auditory information.

[1269] "Emotion data" is data obtained as a result of analyzing the user's emotional state.

[1270] "Relevant information on the Web" is information that is searched for using the Internet and is relevant to the user's request or context.

[1271] "Augmented reality" is a technology that displays digital information overlaid on visual information from the real world.

[1272] The "means for recognizing user emotions" is an algorithm that analyzes video and audio data and identifies the user's emotions.

[1273] "Data based on user interests" is data that indicates the user's interests by analyzing input information such as the user's gaze and voice commands.

[1274] The "means for analyzing collected data and emotional data" refers to an algorithm that analyzes collected data based on the user's interests and emotions and uses it to provide information next time.

[1275] This invention combines a system that acquires visual and auditory information from the outside world in real time, searches for related information on the web based on that information, and displays it to the user in an augmented reality format with an emotion engine that recognizes the user's emotions.

[1276] First, the smart glasses, which are the terminal, capture visual information from the outside world using a camera and audio information from the outside world using a microphone. The captured video and audio data is then sent in real time to a processing unit within the terminal.

[1277] The device then converts the visual information into text using OCR technology. For example, it recognizes a cafe sign and converts it into text such as "Cafe ABC." Similarly, it converts auditory information into text using voice recognition technology. For example, it recognizes the conversation of a passerby and converts it into text such as "This cafe is delicious."

[1278] The device also uses the captured video and audio data to analyze the user's emotions through an emotion engine, which can identify emotions such as whether the user is happy, interested, or surprised. The emotion engine uses machine learning algorithms to recognize emotions from facial expressions and tone of voice.

[1279] The converted text information and the recognized emotion data are sent to the server. The server then searches for related information on the web based on the received text information. For example, based on the keyword "cafe ABC," it can retrieve reviews, menus, and location details using a search engine. Furthermore, by taking the emotion data into consideration, it can prioritize retrieving information that is likely to interest the user.

[1280] The search results are then sent back to the device, which then displays the information in augmented reality (AR) format. For example, reviews and popular menu items for "Cafe ABC" could be overlaid on the real-world display of the smart glasses, allowing users to obtain relevant information in real time.

[1281] The device also collects interest data based on the user's gaze and voice commands. When a user stares at a particular piece of information or says something like, "I'm interested in this cake," the device records it. By combining this with emotional data recognized by the emotion engine, more detailed interest analysis becomes possible.

[1282] The collected interest and emotion data is sent to the server, which uses that data to understand the user's interest trends and reflect them in the next information provided. For example, if the user shows a strong interest in cafes, information about cafes can be displayed preferentially from the next time onwards.

[1283] Detailed examples

[1284] If a user is walking down the street and spots a sign for "Cafe XYZ," the camera in the smart glasses will recognize the sign and convert it into text using OCR technology. If the user then says, "I'm interested in the cakes at this cafe," the speech recognition technology will convert the statement into text. At the same time, the emotion engine will recognize positive emotions from the user's interested facial expression and tone of voice. This information is sent to the server, which will search for detailed information about "Cafe XYZ" and prioritize information that is likely to interest the user. This information is then sent to the device and displayed in augmented reality (AR) on the smart glasses' display. The user can then check reviews and photos of the cakes on the spot.

[1285] Example prompt sentence:

[1286] "Please explain the detailed process flow of a system in which, when a user searches for information about a cafe, smart glasses acquire visual and auditory data, analyze the user's emotions with an emotion engine, and display the information in AR format."

[1287] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1288] Step 1:

[1289] The smart glasses, which serve as the terminal, collect visual and auditory information from the outside world.

[1290] Input: Video and audio data from the outside world.

[1291] Processing: The smart glasses' camera captures video and the microphone records audio.

[1292] Output: Captured video data and recorded audio data.

[1293] How it works: As the user walks around town, the smart glasses take pictures of buildings and signs, and record surrounding conversations and environmental sounds.

[1294] Step 2:

[1295] The visual information acquired by the device is converted into text information using OCR technology, and the auditory information is converted into text using voice recognition technology.

[1296] Input: Video and audio data.

[1297] Processing: Extract text from video data using OCR technology, and convert audio data into text using speech recognition technology.

[1298] Output: Text information.

[1299] Specific operation: The smart glasses capture a sign that reads "Cafe XYZ" and converts it into text information. Similarly, they recognize the speech of a passerby saying, "The cake at this cafe is delicious," and convert it into text.

[1300] Step 3:

[1301] The device uses video and audio data to analyze the user's emotions using an emotion engine.

[1302] Input: Video and audio data.

[1303] Processing: Machine learning algorithms are used to analyze facial expressions from video data and tone of voice from audio data to identify emotions.

[1304] Output: Emotion data.

[1305] Specific behavior: Analyze the user's facial expression and tone of voice when they look at the cafe sign to determine whether they are interested or pleased.

[1306] Step 4:

[1307] The terminal transmits the converted text information and emotion data to the server.

[1308] Input: Text information and emotion data.

[1309] Processing: Packetize the data and send it to the server.

[1310] Output: The data sent to the server.

[1311] Specific operation: The device sends the text information "Cafe XYZ" and emotion data indicating "interest" to the server.

[1312] Step 5:

[1313] The server searches for relevant information on the web based on the text information and emotion data received.

[1314] Input: Text information and emotion data.

[1315] Processing: A search engine is used to search for relevant information, and emotional data is taken into account to prioritize information that is likely to interest the user.

[1316] Output: Search results for related information.

[1317] Specific operation: The server searches for reviews and menu information about "Cafe XYZ" and selects information that is likely to interest the user.

[1318] Step 6:

[1319] The server sends the search results back to the terminal.

[1320] Input: Search results for related information.

[1321] Processing: The search results are packed into packets and sent to the terminal.

[1322] Output: Data sent to the terminal.

[1323] Specific operation: The server sends data such as reviews and popular menu items for "Cafe XYZ" to the device.

[1324] Step 7:

[1325] The information acquired by the device is displayed to the user in augmented reality (AR) format.

[1326] Input: Search results for related information.

[1327] Processing: Using augmented reality (AR) technology, digital information is superimposed on real-world scenes.

[1328] Output: Information displayed in AR format.

[1329] Specific operation: Reviews and photos of cakes from "Cafe XYZ" are overlaid on the real-world scene on the smart glasses display.

[1330] Step 8:

[1331] The device collects interest data based on the user's gaze and voice commands.

[1332] Input: User gaze data and voice commands.

[1333] Processing: Uses an eye gaze sensor to detect where the user is looking, and uses voice recognition technology to interpret voice commands.

[1334] Output: Interest data.

[1335] Specific behavior: If a user stares at a photo of a cake for a long time or says, "I'm interested in this cake," the device will collect that data.

[1336] Step 9:

[1337] The terminal transmits the collected interest data and emotion data to a server, which analyzes it.

[1338] Input: Interest data and emotion data.

[1339] Processing: The data is packaged into packets and sent to a server, which analyzes it using machine learning algorithms.

[1340] Output: Analysis results.

[1341] Specific operation: The collected data is sent to a server, which analyzes it to understand trends in user interests.

[1342] Step 10:

[1343] The server will use the analysis results to reflect the information provided from the next time onwards.

[1344] Input: Analysis results.

[1345] Processing: The analysis results are recorded in a database and used for the next information provision.

[1346] Output: Preparation for next information submission.

[1347] Specific operation: If the user shows a strong interest in the cafe, prepare to display information about the cafe preferentially from the next time onwards.

[1348] (Application example 2)

[1349] 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."

[1350] In autonomous vehicles, passengers and drivers have limited means to effectively grasp information about the outside world and obtain specific information in real time.In addition, there is a lack of information provided that reflects the user's emotions and interests, which leads to a lack of improvement in the user experience.

[1351] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for acquiring visual information of the outside world, means for acquiring auditory information of the outside world, and means for converting the visual information into text information. This makes it possible to acquire related information based on visual and auditory information in real time and provide personalized information that reflects the user's emotions and interests.

[1352] "Visual information of the outside world" refers to images and image data of the surroundings acquired using cameras and sensors installed in smart devices.

[1353] "Auditory information from the outside world" refers to surrounding voice and sound data acquired using a microphone installed in a smart device.

[1354] "Means for converting visual information into textual information" refers to optical character recognition (OCR) technology for converting video and image data into textual information.

[1355] "Means for converting auditory information into text information" refers to speech recognition technology for converting voice data into text information.

[1356] "Means for searching for related information on the web" refers to the function of searching for information on the Internet using a server or search engine and obtaining the necessary data.

[1357] "Means of displaying in augmented reality (AR) format" refers to technology for displaying acquired information by superimposing it on real-world images.

[1358] "Means for collecting data based on user interests" refers to a function that infers a user's interests from their gaze, voice commands, etc., and collects data related to those interests.

[1359] "Means for analyzing collected data" refers to the algorithms and methods used to analyze collected data and understand user interests and behavioral patterns.

[1360] "Means for analyzing user emotions" refers to machine learning algorithms that analyze a user's facial expressions and vocal tone to determine their emotional state.

[1361] "Smart devices installed in self-driving vehicles" refers to electronic devices with functions such as cameras, microphones, and displays that are used inside self-driving vehicles.

[1362] This invention is a system for improving the user experience in autonomous vehicles, which uses smart devices to acquire visual and auditory information from the outside world in real time, and searches for and displays relevant information based on that information. It also features the ability to analyze the user's emotions and provide information based on their interests.

[1363] First, the smart device acquires visual and auditory information from the outside world. Specifically, the smart device's built-in camera captures video and microphone records audio. This data is then sent in real time to a processing unit within the device.

[1364] The device then converts the acquired visual information into text using OCR technology. For example, if an autonomous vehicle recognizes a restaurant sign while driving through town, it will convert it into text such as "Restaurant ABC." Similarly, auditory information is converted into text using voice recognition technology. For example, if a passenger says, "I'm interested in the menu at this restaurant," this is recorded as text.

[1365] Furthermore, the captured video and audio data is analyzed by the device's built-in emotion engine, which uses machine learning algorithms to identify emotions from the user's facial expressions and tone of voice. For example, it can recognize whether the user is interested, happy, or surprised.

[1366] The converted text information and the recognized emotion data are sent from the device to a cloud server. The cloud server then searches for related information on the web based on the received text information. For example, based on the keyword "restaurant ABC," it can retrieve reviews, menus, and location details using a search engine. Furthermore, by taking emotion data into consideration, it can prioritize retrieving information that is likely to interest the user.

[1367] The search results are then sent back to the device, which then displays the information in AR format. For example, reviews and popular menu items for "Restaurant ABC" are overlaid on the smart device's display, allowing users to access relevant information in real time even while on the move.

[1368] The device also collects interest data based on the user's gaze and voice commands. For example, if a user stares at a particular piece of information or says something like "this dish looks delicious," the device records that data. By combining this data with the emotion data recognized by the emotion engine, more detailed interest analysis becomes possible.

[1369] The collected interest and emotion data is sent to a cloud server for analysis. The cloud server uses this data to understand the user's interest trends and reflect them in the next information provided. For example, if the user shows a strong interest in restaurants, it can prioritize displaying information about restaurants from the next time onwards.

[1370] As a concrete example:

[1371] As a specific example, if a user spots a sign for "Restaurant XYZ" while driving around town, the camera on the smart device will recognize the sign and convert it into text using OCR technology. Furthermore, if the user says, "I'm interested in the menu at this restaurant," the speech recognition technology will convert the comment into text. At the same time, the emotion engine will recognize positive emotions from the user's interested facial expression and tone of voice. This information is sent to a cloud server, which searches for detailed information about "Restaurant XYZ" and prioritizes information that is likely to interest the user. The information is then sent to the device and displayed in AR format on the smart device's display. The user can then check reviews and photos of the menu on the spot.

[1372] Prompt Sentence Examples

[1373] An example of a prompt is shown below.

[1374] When a user finds a restaurant sign, the smart device identifies the information, converts it into text, and prioritizes displaying reviews and menu information for that restaurant based on the user's sentiment. For example, if a user says, "I'm interested in the menu at this restaurant," the device converts that speech into text and retrieves and displays relevant information in real time.

[1375] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1376] Step 1:

[1377] The smart device, which is the terminal, acquires visual and auditory information from the outside world. As the user moves around the city, the camera captures the surrounding images and the microphone records the surrounding audio. These data are sent to a processing unit in real time. The input is the camera image data and audio data, and the output is the raw data sent to the processing unit.

[1378] Step 2:

[1379] The device converts the acquired visual information into text using OCR technology. For example, if a smart device's camera captures a restaurant sign, the video data is converted into text, generating the text "Restaurant XYZ." The input is video data, and the output is text data.

[1380] Step 3:

[1381] The device converts the acquired voice information into text information using voice recognition technology. For example, if a user says, "I'm interested in the menu of this restaurant," the voice data is converted into text information and related information is generated. The input is voice data, and the output is text data.

[1382] Step 4:

[1383] The device analyzes the captured video and audio data using an emotion engine to determine the user's emotions. For example, it recognizes the emotion "interesting" from the user's facial expression and tone of voice. The input is video and audio data, and the output is emotional data.

[1384] Step 5:

[1385] The converted text information and recognized emotion data are sent from the device to a cloud server. The server then searches for related information on the web based on the received text information. For example, based on the keyword "Restaurant XYZ," it retrieves reviews and menu information. The input is text data and emotion data, and the output is related information data.

[1386] Step 6:

[1387] The cloud server takes emotional data into consideration and prioritizes information that is likely to interest the user, and then sends the results back to the device. For example, if the user is expressing positive emotions, it will prioritize sending highly rated restaurant reviews. The input is text data and emotional data, and the output is related information data.

[1388] Step 7:

[1389] The device displays the acquired information in AR format. For example, reviews and popular menu items from "Restaurant XYZ" are overlaid on the smart device display, allowing the user to view them. The input is related information data, and the output is the displayed AR data.

[1390] Step 8:

[1391] The device continues to collect interest data based on the user's gaze and voice commands. For example, if the user stares at a particular piece of information or says, "I'm interested in this dish," the device records that data. The input is gaze data and voice data, and the output is interest data.

[1392] Step 9:

[1393] The collected interest and emotion data is sent to a cloud server for detailed analysis. The server uses this data to understand the user's interest trends and reflect them in the next information provided. For example, if the user has a strong interest in restaurants, information about restaurants will be displayed first from the next time onwards. The input is interest data and emotion data, and the output is analysis data for the next information provided.

[1394] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1395] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1396] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1397] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1398] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1399] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1400] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1401] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1402] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1403] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1404] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1405] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1406] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1407] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1408] 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.

[1409] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1410] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1411] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1412] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1413] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1414] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1415] The following is further disclosed regarding the above embodiment.

[1416] (Claim 1)

[1417] A means for acquiring visual information of the outside world;

[1418] A means for acquiring auditory information from the outside world;

[1419] means for converting the visual information into text information;

[1420] means for converting the auditory information into text information;

[1421] a means for searching for related information on the web based on the converted text information;

[1422] means for displaying the retrieved information in an augmented reality (AR) format;

[1423] a means for collecting user interest-based data;

[1424] means for analyzing the collected data;

[1425] A system including:

[1426] (Claim 2)

[1427] The system of claim 1 further comprising means for detecting a line of sight of the user.

[1428] (Claim 3)

[1429] 10. The system of claim 1, further comprising means for recognizing a voice command of the user.

[1430] "Example 1"

[1431] (Claim 1)

[1432] A means for acquiring visual information of the outside world;

[1433] A means for acquiring auditory information from the outside world;

[1434] means for converting the visual information into text information;

[1435] means for converting the auditory information into text information;

[1436] a means for searching for related information on the web based on the converted text information;

[1437] means for displaying the retrieved information in an augmented reality (AR) format;

[1438] a means for collecting user interest-based data in real time;

[1439] A means for analyzing the collected data and reflecting the results in subsequent search results;

[1440] A system including:

[1441] (Claim 2)

[1442] 10. The system of claim 1, further comprising means for detecting the user's gaze and collecting interest data.

[1443] (Claim 3)

[1444] 10. The system of claim 1, further comprising means for recognizing voice commands of the user and collecting interest data.

[1445] "Application Example 1"

[1446] (Claim 1)

[1447] A means for acquiring visual information of the outside world;

[1448] A means for acquiring auditory information from the outside world;

[1449] means for converting the visual information into text information;

[1450] means for converting the auditory information into text information;

[1451] a means for searching for related information on the web based on the converted text information;

[1452] means for displaying the retrieved information in an augmented reality (AR) format;

[1453] a means for collecting user interest-based data;

[1454] means for analyzing the collected data;

[1455] A means to provide product information and reviews in AR format in real time while the user is walking,

[1456] A system including:

[1457] (Claim 2)

[1458] The system of claim 1 further comprising means for detecting a line of sight of the user.

[1459] (Claim 3)

[1460] 10. The system of claim 1, further comprising means for recognizing a voice command of the user.

[1461] "Example 2: Combining Emotion Engines"

[1462] (Claim 1)

[1463] A means for acquiring visual information of the outside world;

[1464] A means for acquiring auditory information from the outside world;

[1465] means for converting the visual information into text information;

[1466] means for converting the auditory information into text information;

[1467] a means for searching for related information on the web based on the converted text information and emotion data;

[1468] means for displaying the retrieved information in an augmented reality format;

[1469] means for recognizing a user's emotion;

[1470] a means for collecting user interest-based data;

[1471] means for analyzing the collected data and emotion data;

[1472] A system including:

[1473] (Claim 2)

[1474] 10. The system of claim 1, further comprising means for detecting a user's line of sight.

[1475] (Claim 3)

[1476] 10. The system of claim 1, further comprising means for recognizing a user's voice command.

[1477] "Application example 2 when combining emotion engines"

[1478] (Claim 1)

[1479] A means for acquiring visual information of the outside world;

[1480] A means for acquiring auditory information from the outside world;

[1481] means for converting the visual information into text information;

[1482] means for converting the auditory information into text information;

[1483] a means for searching for related information on the web based on the converted text information;

[1484] means for displaying the retrieved information in an augmented reality (AR) format;

[1485] a means for collecting user interest-based data;

[1486] means for analyzing the collected data;

[1487] means for analyzing user emotions;

[1488] a means for displaying relevant information on a smart device mounted on the autonomous vehicle;

[1489] A system including:

[1490] (Claim 2)

[1491] The system of claim 1 further comprising means for detecting a line of sight of the user.

[1492] (Claim 3)

[1493] 10. The system of claim 1, further comprising means for recognizing a voice command of the user. [Explanation of symbols]

[1494] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for acquiring visual information of the outside world; A means for acquiring auditory information from the outside world; means for converting the visual information into text information; means for converting the auditory information into text information; a means for searching for related information on the web based on the converted text information; means for displaying the retrieved information in an augmented reality (AR) format; a means for collecting user interest-based data; means for analyzing the collected data; A system including:

2. The system of claim 1 further comprising means for detecting a line of sight of the user.

3. The system of claim 1 further comprising means for recognizing a voice command of the user.

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