system

Abstract

Provide a system. 【Solution means】 An information input means for a user to perform initial settings, A profile creation means for creating a profile based on the input information of the user, A data analysis means for analyzing information, An information search means for searching for related information, An information optimization means for optimizing search results, An information presentation means for presenting optimized information, A feedback collection means for collecting feedback, A system improvement means for improving the system based on the collected feedback, A system including the above.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In recent years, in the fields of information technology and communication, many technical terms are used, so it is common for new employees and inexperienced employees to have trouble understanding them. As a result, there are problems such as a decrease in work efficiency and communication obstacles, which affect the productivity of the entire company. To solve this problem and promote the improvement of employees' knowledge and work efficiency, a system for real-time translation and explanation of technical terms and related information is needed.

Means for Solving the Problems

[0005] To solve this problem, the present invention provides a system that includes an information input means for the user to perform initial setup. Furthermore, it creates a profile based on the user's input information and performs information retrieval and optimization according to the user's profile and knowledge. By collecting relevant information through the information retrieval means and presenting optimized information to the user, the user can acquire knowledge in real time. In addition, the system is continuously improved based on opinions obtained from the user through the feedback collection means. In this way, it becomes possible to improve the user's work efficiency and bridge knowledge gaps.

[0006] A "user" refers to an individual who is required to understand specialized terminology and related information in the fields of information technology and communications.

[0007] An "information input method" is a function that provides an interface for users to input information about their own knowledge level and skills.

[0008] A "profile creation method" is a function that generates a profile that records and manages an individual's knowledge level and skills based on the user's input information.

[0009] "Data analysis means" refers to a function that analyzes specialized terms and related keywords detected during meetings or document review, and retrieves that information.

[0010] An "information retrieval tool" is a function that searches for relevant information from external and internal sources based on analyzed terms and keywords.

[0011] "Information optimization means" refers to a function that appropriately organizes information obtained through search according to the user's knowledge level and processes it into a user-friendly format.

[0012] An "information presentation means" is a function that displays optimized information to the user and provides it in an easy-to-understand manner.

[0013] A "feedback collection method" is a function that receives and records opinions and evaluations from users.

[0014] "System improvement measures" refer to functions that utilize collected feedback to improve the accuracy and method of information presentation, thereby enhancing the user experience. [Brief explanation of the drawing]

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

Mode for Carrying Out the Invention

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

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

[0018] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of a plurality of arithmetic units. Also, the processor may be one type of arithmetic unit or a combination of a plurality of types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

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

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

[0021] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0023] [First Embodiment]

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

[0025] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

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

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

[0028] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0032] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

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

[0034] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

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

[0036] One possible embodiment of the present invention is a system in which a user, a terminal, and a server work together. This system aims to improve work efficiency by enabling users to instantly understand technical terms and related information. The specific operation of this system is described below.

[0037] First, when a user accesses the system for the first time, they input information about their knowledge level, career, and skills through a terminal. This information is sent from the terminal to the server, which creates a user profile and stores it in a database. This profile serves as the basis for future information provision.

[0038] During meetings or document viewing, the device analyzes speech and text in real time to identify technical terms and related topics. The information obtained by the device is sent to a server, which then searches for relevant information from multiple databases and online sources based on the received terms and topics.

[0039] The server filters the information obtained from this search based on the user's profile and optimizes it to suit the user's knowledge level. This optimization includes adjusting the difficulty level of the information and narrowing it down based on relevance. The optimized information is sent to the device and presented to the user in the form of notifications or pop-ups.

[0040] Users can review the information presented on their device and request additional details as needed. They can also provide feedback on the usefulness of the information provided, and this feedback is sent to the server via their device. The server uses this feedback to keep the user's profile up-to-date and to improve the information retrieval and optimization algorithms.

[0041] As a concrete example, consider a scenario where a new employee participates in a specialized meeting for the first time. This employee can analyze the meeting content in real time via their device and, based on information provided by the server, quickly understand the meaning and background of technical terms. This allows them to grasp the flow of the meeting and participate actively.

[0042] Thus, the system of the present invention enhances understanding of tasks and realizes an efficient work environment by providing optimal information tailored to each user's individual profile in real time.

[0043] The following describes the processing flow.

[0044] Step 1:

[0045] The user uses the device to input their knowledge level, skills, and career information. The device then prepares to send this information to the server.

[0046] Step 2:

[0047] The server receives information sent by the user and creates a user profile. This profile is stored in a database and used as the basis for future information provision.

[0048] Step 3:

[0049] While users are participating in meetings or viewing documents, the device analyzes audio and displayed text in real time. It recognizes specific technical terms and related topics, and extracts keywords.

[0050] Step 4:

[0051] The terminal sends the extracted keywords to the server. The server receives these keywords and uses them as basic data for searching for related information.

[0052] Step 5:

[0053] Based on the keywords received by the server, it searches for relevant information from multiple external databases and internal knowledge bases. Information is then collected.

[0054] Step 6:

[0055] The server filters the obtained information based on the user's profile and optimizes it to an appropriate level of difficulty. It then transforms the information into a format that is easy for the user to understand.

[0056] Step 7:

[0057] Optimized information is sent to the device, and the device presents it to the user via notification or pop-up. The user can then review and use the information.

[0058] Step 8:

[0059] The user provides feedback on the information provided. The device receives this feedback and prepares to send it to the server.

[0060] Step 9:

[0061] The server receives feedback, uses it to update the user profile, and further improves the accuracy of its information retrieval and optimization algorithms. This ensures that future information delivery is better tailored to the user's needs.

[0062] (Example 1)

[0063] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0064] In today's information society, users are required to quickly understand vast amounts of data and specialized terminology. However, because optimal information tailored to the user's knowledge level and skills is not provided in real time, there are challenges that lead to misunderstandings and decreased efficiency. Furthermore, because the information provided is uniform, information optimization tailored to individual users is not adequately performed.

[0065] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0066] In this invention, the server includes means for creating user data, means for retrieving information using external information sources, and means for generating information to optimize information based on the user data. This makes it possible to provide optimal information in real time according to the user's knowledge and skills, thereby improving comprehension and enabling efficient work execution.

[0067] "User data creation means" refers to a device or function for generating and storing a user profile based on the standard setting data entered by the user.

[0068] "Analysis means" refers to a device or function that instantly analyzes audio and text information and identifies necessary technical terms and related topics.

[0069] "Information retrieval means" refers to a device or function for efficiently searching for and obtaining relevant information using external information sources.

[0070] "Information generation means" refers to a device or function that adjusts and generates information in an optimal form according to user data, based on acquired information.

[0071] "Information display means" refers to a device or function for displaying optimized information on a user's terminal.

[0072] "Opinion gathering means" refers to a device or function used to collect opinions and evaluations from users and to improve the system.

[0073] "Generation means" refers to a device or function for improving information generation methods based on user feedback and enhancing the quality of the information provided.

[0074] This invention is implemented through a system in which users, terminals, and servers work together. The aim of this system is to help users quickly understand technical terms and related information, thereby improving work efficiency.

[0075] Users access the system using a terminal and set their criteria. Specifically, they input information about their knowledge level and skills into the terminal. This information is sent from the terminal to the server, where a user profile is created. This profile is stored in a database and serves as the basis for future information provision.

[0076] During meetings or document viewing, the terminal uses speech recognition and natural language processing technologies to analyze specialized terminology and related topics from speech and text in real time. The information obtained through this analysis is transmitted from the terminal to the server.

[0077] The server searches for relevant information using multiple databases and external sources based on the received terms and topics. During this process, it uses a generative AI model to generate prompts and perform efficient information retrieval. The information obtained from the search is filtered based on the user's profile, with adjustments made to difficulty levels and optimizations based on relevance.

[0078] The optimized information is sent from the server to the terminal. The terminal then presents this information to the user in an easy-to-use format on the display device. For example, it may be displayed as a notification or a pop-up.

[0079] Users can review the information presented on their device and request additional details if needed. They can also send feedback to the server via their device regarding the usefulness of the provided information. The server uses this feedback to update the user profile and improve the information generation method.

[0080] A concrete example is its use in a specialized meeting attended by a new employee for the first time. This employee can analyze the meeting content in real time via their terminal and receive information support from the server, enabling them to instantly understand the meaning and background of technical terms.

[0081] Example of an input prompt for the generating AI model: "Based on the following user profile, please explain the technical terms used in the meeting: A glossary of terms used in a technical meeting attended by users with an intermediate level of knowledge."

[0082] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0083] Step 1:

[0084] The user inputs baseline data regarding their knowledge level and skills using a device. The device then sends this input data to the server. The input data is obtained through text forms and selection fields. This generates the initial profile data.

[0085] Step 2:

[0086] The server creates a user profile based on the user's baseline data and stores it in the database. This profile, based on the user's skill level, years of experience, and area of ​​expertise, forms the basis for providing customized information to individual users.

[0087] Step 3:

[0088] While the user is attending a meeting or viewing documents, the device uses speech recognition and natural language processing (NLP) technology to analyze audio and text data in real time. This analysis identifies specialized terminology and related topics. The input data consists of audio files and text data, and the output results in the identified specialized terminology.

[0089] Step 4:

[0090] The terminal identifies specialized terminology and topic information and sends it to the server. The server uses this information and leverages a generative AI model to create a prompt. This prompt is used to search for relevant information. The input is the identified term, and the output is the prompt used for the search.

[0091] Step 5:

[0092] The server uses the generated prompt statements to search multiple databases and external information sources and retrieve relevant information. The input data is the prompt statements, and the output is a set of relevant information. The server optimizes this information based on the user profile.

[0093] Step 6:

[0094] The server filters the acquired information and optimizes it by adjusting the difficulty and relevance according to the user's profile. The input is a set of related information, and the output is optimized information tailored to the user.

[0095] Step 7:

[0096] Optimized information is sent from the server to the terminal, which then displays the information to the user as a notification or pop-up. The final input is optimized information, and the output is a visual display for the user.

[0097] Step 8:

[0098] The user reviews the presented information and sends feedback to the server via their device. The input is the user's feedback, and the output is the updated feedback information. Based on the feedback, the server updates the user profile and reflects it in the next information generation process.

[0099] (Application Example 1)

[0100] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0101] In modern manufacturing environments, it is difficult for workers to immediately acquire and understand specialized information when operating new equipment or complex machinery. Therefore, to improve work efficiency, it is necessary to create an environment where workers can easily obtain and utilize the necessary information in real time. However, there is a challenge in that improvements in work efficiency are limited because information is not provided according to the knowledge and skill level of individual workers.

[0102] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0103] In this invention, the server includes a presentation device linkage means for presenting information through a display device worn by a worker, an input data acquisition means for recognizing the worker's voice or input actions and acquiring information, and a data analysis means for analyzing the information. As a result, the worker can receive appropriate information in real time and deepen their understanding according to their own knowledge level.

[0104] "Information input method" refers to the method by which users input knowledge level, skills, and career information when initially setting up a system.

[0105] A "profile creation method" is a method for recording the characteristics of a user in a database based on the information they input, and then providing customized information based on that information.

[0106] "Data analysis means" refers to a function that analyzes audio and text data acquired in real time to extract specialized terminology and related information.

[0107] "Information retrieval methods" refer to the process of efficiently finding relevant knowledge from multiple sources based on analyzed information.

[0108] "Information optimization means" refers to technologies that adjust retrieved information according to the user's profile and provide it to the user in the most optimal form.

[0109] "Information presentation means" refers to a device or method that provides optimized information to a user visually or audibly.

[0110] "Feedback collection methods" refer to methods of collecting opinions and evaluations from users and using them to improve the system.

[0111] "System improvement methods" refer to processes undertaken to improve the accuracy and efficiency of a system based on collected feedback.

[0112] The "display device linkage means" is a system that links with a display device worn by a worker to display information in real time.

[0113] The "input data acquisition means" is an interface that recognizes the worker's voice instructions and motion inputs and sends the necessary information to the system.

[0114] An embodiment of this invention is a system in which factory workers use a head-mounted display to acquire information in real time while performing their tasks. First, the user (worker) inputs their knowledge level and skill information using an information input means, and the server creates a profile based on this information. The profile creation means stores the generated profile in a database and uses it for future information provision.

[0115] During work, workers input voice and actions through microphones and cameras installed on terminals. Input data acquisition means recognize this information and identify necessary instructions and technical terms. This information is transmitted to the server via data analysis means. Based on the received data, the server uses information retrieval means to obtain relevant information from multiple online sources.

[0116] The server then uses information optimization means to adjust the information to suit the user profile. Information presentation means present the optimized information to the worker's display device (e.g., head-mounted display). This process allows the worker to instantly obtain appropriate information according to their knowledge level.

[0117] As a concrete example, consider a scenario where a worker is operating a new lathe. In this case, the worker uses voice input to communicate a prompt message to the terminal, such as, "Please tell me the precautions to take when operating the new lathe." The server then searches for relevant information and displays optimized instructions on the head-mounted display. This allows the worker to operate the machine safely and efficiently.

[0118] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0119] Step 1:

[0120] During initial setup, users input their knowledge level and skill information into the terminal via an information input device. This input data is sent to the server via a profile creation device. The server creates a profile based on this data and stores it in a database.

[0121] Step 2:

[0122] During the process, the user uses a microphone attached to a head-mounted display to voice-input prompts for necessary information. The input data acquisition device converts this voice into text data and prepares it for analysis. This allows the server to format the voice data in a format suitable for text-based analysis.

[0123] Step 3:

[0124] The terminal analyzes pre-processed text data using data analysis tools to identify relevant technical terms and topics. The analysis results are transmitted to the server via information retrieval tools, which then retrieves relevant information from external databases and online sources.

[0125] Step 4:

[0126] The server uses information optimization techniques to adjust the acquired information based on the user's profile. Specifically, it considers the difficulty and priority of the information and optimizes it to be the most understandable and relevant to the user. This optimization also includes filtering information using generative AI models.

[0127] Step 5:

[0128] Optimized information is displayed in real time on the user's head-mounted display via an information presentation device. The user can proceed with their work based on the presented information. If the presented information is insufficient, the user can enter additional prompts to request further information.

[0129] Step 6:

[0130] Users provide feedback on the usefulness of the information provided via their terminal. The feedback collection system receives this input and sends it to the server. The server analyzes the collected feedback using system improvement tools and uses it to improve information provision and optimization algorithms.

[0131] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0132] One possible embodiment of the present invention is a system that combines a user, a terminal, a server, and an emotion engine. This system aims not only to support the user's understanding of technical terms in real time, but also to recognize the user's emotional state and provide more appropriate information. The specific operation of this system is described below.

[0133] First, the user uses the device to perform initial setup and enters information about their knowledge level, skills, and career. The device sends this information to the server, which then creates and stores a user profile based on it. This profile serves as a baseline for providing information.

[0134] During meetings or while viewing documents, the device analyzes audio and text in real time, extracting specific terminology and related topics. In the process, the device's built-in emotion engine analyzes the user's facial expressions and tone of voice to collect emotional data. This data is sent to a server and used to understand the user's current emotional state.

[0135] The server performs information retrieval based on these keywords and sentiment data. Relevant information is retrieved from multiple databases and online sources. The server then filters and optimizes the information, taking into account the user's profile and emotional state. During the optimization process, the difficulty and amount of information are adjusted to avoid causing stress to the user.

[0136] Optimized information is sent to the device, which presents the information to the user in an appropriate manner. The user can understand and use the information based on this presentation. When the user provides feedback on the presented information, the device sends it to the server along with sentiment data. The server uses the feedback and sentiment data to improve how information is provided in the future.

[0137] As a concrete example, let's consider a scenario where a new employee is participating in a meeting. This employee understands technical terms based on real-time information displayed on their device, but their emotional state is also taken into consideration, allowing them to learn without feeling stressed. For example, if the emotion engine detects the user's tension, the system will present information at a reduced difficulty level.

[0138] Thus, the system of the present invention utilizes an emotion engine to support efficient information comprehension while reducing the user's psychological burden.

[0139] The following describes the processing flow.

[0140] Step 1:

[0141] The user uses a device to input their knowledge level, skills, and career information. The device then prepares to send the user's input information to the server.

[0142] Step 2:

[0143] The server receives information sent by the user and creates a user profile based on it. The created profile is stored in a database and used as basic data for providing information.

[0144] Step 3:

[0145] While the user is participating in the meeting, the device transcribes the audio into text in real time. Additionally, the device's built-in emotion engine analyzes the user's facial expressions and tone of voice to acquire emotional data.

[0146] Step 4:

[0147] The device sends the acquired text and sentiment data to the server. The server receives this data and prepares it for information retrieval.

[0148] Step 5:

[0149] The server extracts keywords and technical terms from the received text data and searches for related information in external databases and knowledge bases.

[0150] Step 6:

[0151] The server filters the acquired information based on user profiles and sentiment data, optimizing it into the format best suited to the user. During optimization, the difficulty level and detail level of the information are adjusted, taking sentiment data into consideration.

[0152] Step 7:

[0153] Optimized information is sent to the device. The device then provides the information to the user through notifications and interactive displays.

[0154] Step 8:

[0155] The user reviews the presented information and provides feedback on their understanding and usefulness. The device receives the user's feedback and sends it back to the server.

[0156] Step 9:

[0157] The server receives feedback and sentiment data, and updates the user profile based on this data. It also improves the information retrieval and optimization algorithms, and uses this information to improve future information delivery.

[0158] (Example 2)

[0159] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0160] Conventional information delivery systems have difficulty providing information tailored to users' knowledge levels and skills, and in situations requiring an understanding of technical terms, users often experience stress or information overload. Furthermore, there is a lack of information delivery methods that consider users' emotional states, often resulting in inappropriate information being presented. Therefore, there was a need to build a system that allows users to understand and utilize information more efficiently.

[0161] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0162] In this invention, the server includes information analysis means, emotion data collection means, and information optimization means. This enables the provision of appropriate information according to the user's knowledge level and skills, and further optimizes and presents information while considering the user's emotional state. As a result, a system is realized in which users can understand and utilize information efficiently without feeling stressed.

[0163] An "information input method" is a means by which a user inputs their own information.

[0164] A "characteristic information creation means" is a means for creating characteristic information based on user input information.

[0165] "Information analysis tools" are means for analyzing audio and text to extract specialized terminology.

[0166] "Methods for collecting emotional data" refer to methods for analyzing a user's facial expressions and tone of voice to collect emotional data.

[0167] An "information retrieval method" is a means of searching for specific information.

[0168] "Information optimization means" are methods for optimizing information based on search results and the user's emotional state.

[0169] An "information presentation method" is a means of presenting optimized information.

[0170] "Methods for collecting evaluations" refer to methods for collecting evaluations from users.

[0171] "System improvement measures" are means of improving a system based on collected evaluation and sentiment data.

[0172] As an embodiment of the present invention, a system is designed in which a user, a terminal, and a server work together. This system integrates an emotion engine that supports the user's understanding of technical terms in real time, recognizes the user's emotional state, and provides optimized information. Specific embodiments of the present invention are described below.

[0173] Users input information about their knowledge level, skills, and career through an interface on the terminal. The terminal has dedicated software installed for data analysis, where the input information is processed to some extent before being sent to the server.

[0174] The server uses advanced profiling algorithms to create and store characteristic profiles based on information sent from users. These profiles serve as foundational data for information optimization processes that utilize generative AI models.

[0175] During real-time meetings and document viewing, the device analyzes audio and text data to extract specialized terminology and important topics. Simultaneously, an emotion engine built into the device analyzes the user's facial expressions and tone of voice, collecting emotional data. All of this information is transmitted to a server.

[0176] Based on this analytical data, the server searches for specific information from multiple databases and online sources, and further optimizes the information based on the user's profile and current emotional state. This process utilizes a generative AI model to provide information efficiently while reducing stress for the user.

[0177] The optimized information is then presented to the user again through the device. Because this presentation is tailored to the user's characteristics and state, the user can more easily understand and utilize the information. When the user provides feedback on the presented information, the device sends that information and sentiment data to the server, which is used to improve future information delivery.

[0178] As a concrete example, consider a case where a new employee participates in their first meeting. This employee understands technical terms based on real-time information displayed on their device during the meeting. If the emotion engine detects the user's anxiety during this process, the system automatically adjusts the difficulty level of the information and provides less stressful content to support learning.

[0179] An example of a prompt for a generated AI model is, "Please explain a system for presenting real-time information on a terminal to help new employees understand technical terms during meetings."

[0180] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0181] Step 1:

[0182] The user uses the device to input information about their knowledge level, skills, and career. This input information is stored on the device as initial data. The device temporarily stores this data and prepares it for transmission to the server.

[0183] Step 2:

[0184] The terminal sends user input information to the server. During this process, the terminal converts the data format to a format the server can receive. The server then analyzes the received data and creates a user profile.

[0185] Step 3:

[0186] Users use the terminal during meetings or document viewing, inputting voice and text data into the terminal. The terminal uses its built-in analysis engine to extract specialized terminology and topics from the input data. The extracted data is processed in real time and sent to the server.

[0187] Step 4:

[0188] The emotion engine built into the device analyzes the user's facial expressions and tone of voice, collecting emotional data. This data, along with extracted technical terms, is sent to the server. This emotional data is important information that reflects the user's current psychological state.

[0189] Step 5:

[0190] The server performs information retrieval based on the technical terms and sentiment data it receives. It utilizes a generative AI model to retrieve relevant information from multiple databases and online sources. These search results are further optimized by considering the user's characteristic profile and current emotional state.

[0191] Step 6:

[0192] The server sends optimized information to the terminal. The terminal displays the received information in the format best suited to the user profile. This allows the user to efficiently understand and utilize the information.

[0193] Step 7:

[0194] The user provides feedback on the displayed information. The device then sends this feedback along with sentiment data back to the server. This information is used to improve future information delivery.

[0195] Step 8:

[0196] The server analyzes feedback and sentiment data, and uses a generative AI model to improve how information is delivered. This process optimizes the presentation of more relevant and effective content to the user in the future.

[0197] (Application Example 2)

[0198] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0199] In production environments such as factories, workers often face difficulties understanding specialized terminology and complex technical information when learning machine operation or new technologies, and this process can lead to significant mental stress. There is a need to solve this problem and provide an environment where workers can acquire skills efficiently and safely.

[0200] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0201] In this invention, the server includes an information input means for the user to perform initial setup, a profile creation means for creating personal identification information based on the user's input information, a data analysis means for analyzing information, an information acquisition means for searching for related information, an information adjustment means for optimizing the acquisition results, an information presentation means for presenting the adjusted information, an opinion collection means for collecting feedback, a system improvement means for improving the system based on the collected feedback, an emotion analysis means for sensing the user's emotional state and analyzing emotion data, and an information emotion adjustment means for optimizing information according to the emotional state. As a result, workers can receive information optimized according to their knowledge level and emotional state in real time, enabling them to learn and perform tasks efficiently while reducing mental stress.

[0202] "Information input means for user initial setup" refers to an interface for users to input their own information and environment settings before using the system.

[0203] "Means for creating a profile to generate personally identifiable information" refers to means for generating a profile based on user-specific information, using user input information.

[0204] "Data analysis means for analyzing information" refers to means of processing information and environmental data entered by users and converting it into meaningful data.

[0205] "Information acquisition means for searching for related information" refers to means for searching and acquiring necessary information from appropriate databases and information sources according to the user's needs.

[0206] "Information adjustment means for optimizing acquired results" refers to means of adjusting acquired information according to the user's profile and emotional state to create an optimal state for the user.

[0207] "Information presentation means for presenting adjusted information" refers to displays and interfaces that present optimized information to users in an easy-to-understand manner.

[0208] "Means of collecting opinions for gathering feedback" refers to a means by which users provide opinions and impressions about information, and a mechanism for the system to collect them.

[0209] "System improvement measures to enhance the system" refer to methods for improving the system's performance and usability based on collected feedback.

[0210] "An emotional analysis method for analyzing emotional data" refers to a technology for collecting emotional data from a user's voice, facial expressions, behavior, etc., and for analyzing that data.

[0211] "Information emotion adjustment means for optimizing information" refers to a means of adjusting the information presented based on analyzed emotion data, optimizing it to an appropriate difficulty level and quantity according to the user's emotional state.

[0212] This invention is a system that allows factory workers to learn machine operation and new technologies in real time using smart glasses. The server creates personal identification information based on initial setup information provided by the user and presents optimized information according to the user's knowledge level and emotional state. Hardware devices such as smart glasses perform data analysis and emotion analysis and transmit this information to the server. The server processes the data using a programming language such as Python and retrieves relevant information via an information retrieval means. The retrieved information is optimized by an information adjustment means and presented in an appropriate format, taking into account the user's emotional state.

[0213] The system uses emotion analysis libraries, user profile management libraries, and information retrieval and optimization libraries to analyze user voice and facial expression data and provide users with the most relevant information. For example, a worker unfamiliar with new factory machinery can receive relevant information in real time through smart glasses and receive easy-to-understand explanations if anxiety is detected, thereby improving work safety and efficiency. An example of a prompt to the generative AI model is, "Analyze the user's emotions in the work environment and adjust the difficulty level of the information displayed in real time." In this way, the learning experience is optimized to match the user's emotions.

[0214] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0215] Step 1:

[0216] The user performs the initial setup. The terminal prompts the user for information about their expertise and experience, and sends this information to the profile creation system. Based on this input, the profile creation system creates baseline personal identification information for the user. The resulting profile is stored on the server and used for subsequent information provision.

[0217] Step 2:

[0218] The device collects environmental data in real time. Using the device's voice recognition function and camera, it collects audio data of the work environment and user facial expression data. This data is converted into emotion data by an emotion analysis system, identifying the user's current emotional state. The analysis results are sent to a server and used as input data for information optimization.

[0219] Step 3:

[0220] The server searches for and optimizes information. Based on the acquired emotional state and user profile, the server searches for relevant information from an external database through the information acquisition means. The information acquisition means gathers relevant specialized information and passes it to the information adjustment means. The information adjustment means takes the user's emotional state into consideration and appropriately adjusts the difficulty level and display format of the information to generate optimized information.

[0221] Step 4:

[0222] The device presents information to the user. Optimized information is sent to the device by the server and displayed in real time on the user's smart glasses. The user can proceed with their work safely and efficiently while checking this information. Because the information is presented in a user-friendly format, learning efficiency is improved.

[0223] Step 5:

[0224] Users provide feedback. Users input their opinions and impressions of the presented information into their devices, and the feedback collected by the feedback collection mechanism is sent to the server. This data is analyzed by the system improvement mechanism and serves as basic data for improving the information provided and how it is presented in the future.

[0225] Step 6:

[0226] The server improves the system. Based on collected feedback and sentiment data, the server generates scenarios to improve how and what information is presented. This will further optimize the next information presentation for the user. This process is continuous, aiming to improve the user's learning experience.

[0227] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0228] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include those described above. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions shown by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0229] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0230] [Second Embodiment]

[0231] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0232] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0233] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0234] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0235] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0236] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0237] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0238] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0239] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0240] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0241] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0242] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0243] One possible embodiment of the present invention is a system in which a user, a terminal, and a server work together. This system aims to improve work efficiency by enabling users to instantly understand technical terms and related information. The specific operation of this system is described below.

[0244] First, when a user accesses the system for the first time, they input information about their knowledge level, career, and skills through a terminal. This information is sent from the terminal to the server, which creates a user profile and stores it in a database. This profile serves as the basis for future information provision.

[0245] During meetings or document viewing, the device analyzes speech and text in real time to identify technical terms and related topics. The information obtained by the device is sent to a server, which then searches for relevant information from multiple databases and online sources based on the received terms and topics.

[0246] The server filters the information obtained from this search based on the user's profile and optimizes it to suit the user's knowledge level. This optimization includes adjusting the difficulty level of the information and narrowing it down based on relevance. The optimized information is sent to the device and presented to the user in the form of notifications or pop-ups.

[0247] Users can review the information presented on their device and request additional details as needed. They can also provide feedback on the usefulness of the information provided, and this feedback is sent to the server via their device. The server uses this feedback to keep the user's profile up-to-date and to improve the information retrieval and optimization algorithms.

[0248] As a concrete example, consider a scenario where a new employee participates in a specialized meeting for the first time. This employee can analyze the meeting content in real time via their device and, based on information provided by the server, quickly understand the meaning and background of technical terms. This allows them to grasp the flow of the meeting and participate actively.

[0249] Thus, the system of the present invention enhances understanding of tasks and realizes an efficient work environment by providing optimal information tailored to each user's individual profile in real time.

[0250] The following describes the processing flow.

[0251] Step 1:

[0252] The user uses the device to input their knowledge level, skills, and career information. The device then prepares to send this information to the server.

[0253] Step 2:

[0254] The server receives information sent by the user and creates a user profile. This profile is stored in a database and used as the basis for future information provision.

[0255] Step 3:

[0256] While users are participating in meetings or viewing documents, the device analyzes audio and displayed text in real time. It recognizes specific technical terms and related topics, and extracts keywords.

[0257] Step 4:

[0258] The terminal sends the extracted keywords to the server. The server receives these keywords and uses them as basic data for searching for related information.

[0259] Step 5:

[0260] Based on the keywords received by the server, it searches for relevant information from multiple external databases and internal knowledge bases. Information is then collected.

[0261] Step 6:

[0262] The server filters the obtained information based on the user's profile and optimizes it to an appropriate level of difficulty. It then transforms the information into a format that is easy for the user to understand.

[0263] Step 7:

[0264] Optimized information is sent to the device, and the device presents it to the user via notification or pop-up. The user can then review and use the information.

[0265] Step 8:

[0266] The user provides feedback on the information provided. The device receives this feedback and prepares to send it to the server.

[0267] Step 9:

[0268] The server receives feedback, uses it to update the user profile, and further improves the accuracy of its information retrieval and optimization algorithms. This ensures that future information delivery is better tailored to the user's needs.

[0269] (Example 1)

[0270] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0271] In today's information society, users are required to quickly understand vast amounts of data and specialized terminology. However, because optimal information tailored to the user's knowledge level and skills is not provided in real time, there are challenges that lead to misunderstandings and decreased efficiency. Furthermore, because the information provided is uniform, information optimization tailored to individual users is not adequately performed.

[0272] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0273] In this invention, the server includes means for creating user data, means for retrieving information using external information sources, and means for generating information to optimize information based on the user data. This makes it possible to provide optimal information in real time according to the user's knowledge and skills, thereby improving comprehension and enabling efficient work execution.

[0274] "User data creation means" refers to a device or function for generating and storing a user profile based on the standard setting data entered by the user.

[0275] "Analysis means" refers to a device or function that instantly analyzes audio and text information and identifies necessary technical terms and related topics.

[0276] "Information retrieval means" refers to a device or function for efficiently searching for and obtaining relevant information using external information sources.

[0277] "Information generation means" refers to a device or function that adjusts and generates information in an optimal form according to user data, based on acquired information.

[0278] "Information display means" refers to a device or function for displaying optimized information on a user's terminal.

[0279] "Opinion gathering means" refers to a device or function used to collect opinions and evaluations from users and to improve the system.

[0280] "Generation means" refers to a device or function for improving information generation methods based on user feedback and enhancing the quality of the information provided.

[0281] This invention is implemented through a system in which users, terminals, and servers work together. The aim of this system is to help users quickly understand technical terms and related information, thereby improving work efficiency.

[0282] Users access the system using a terminal and set their criteria. Specifically, they input information about their knowledge level and skills into the terminal. This information is sent from the terminal to the server, where a user profile is created. This profile is stored in a database and serves as the basis for future information provision.

[0283] During meetings or when viewing materials, the terminal uses speech recognition technology and natural language processing technology to analyze technical terms and related topics from speech and text in real time. The information obtained through the analysis is transmitted from the terminal to the server.

[0284] Based on the received terms and topics, the server searches for relevant information using multiple databases and external information sources. At this time, a generative AI model is used to generate prompt sentences for efficient information retrieval. The information obtained from the search is filtered based on the user's profile, and optimization is performed based on difficulty adjustment and relevance.

[0285] The optimized information is transmitted from the server to the terminal. The terminal presents this information to the user in a user-friendly format on the display device. For example, it may be displayed as a notification or a pop-up.

[0286] The user can view the information presented on the terminal and make a request if additional detailed information is needed. Also, the user can send feedback on the usefulness of the provided information to the server through the terminal. The server updates the user profile based on this feedback and reflects it in the improvement of the information generation method.

[0287] As a specific example, a situation where it is utilized in a specialized meeting that a new employee participates in for the first time can be considered. This employee can instantly understand the meaning and background of technical terms by analyzing the meeting content in real time through the terminal and receiving information support from the server.

[0288] Example of an input prompt sentence for the generative AI model: "Please explain the technical terms used in the meeting based on the following user profile: Explanation of terms in a technical meeting attended by users with an intermediate level of knowledge."

[0289] The flow of the specific process in Example 1 will be described using FIG. 11.

[0290] Step 1:

[0291] The user inputs baseline data regarding their knowledge level and skills using a device. The device then sends this input data to the server. The input data is obtained through text forms and selection fields. This generates the initial profile data.

[0292] Step 2:

[0293] The server creates a user profile based on the user's baseline data and stores it in the database. This profile, based on the user's skill level, years of experience, and area of ​​expertise, forms the basis for providing customized information to individual users.

[0294] Step 3:

[0295] While the user is attending a meeting or viewing documents, the device uses speech recognition and natural language processing (NLP) technology to analyze audio and text data in real time. This analysis identifies specialized terminology and related topics. The input data consists of audio files and text data, and the output results in the identified specialized terminology.

[0296] Step 4:

[0297] The terminal identifies specialized terminology and topic information and sends it to the server. The server uses this information and leverages a generative AI model to create a prompt. This prompt is used to search for relevant information. The input is the identified term, and the output is the prompt used for the search.

[0298] Step 5:

[0299] The server uses the generated prompt statements to search multiple databases and external information sources and retrieve relevant information. The input data is the prompt statements, and the output is a set of relevant information. The server optimizes this information based on the user profile.

[0300] Step 6:

[0301] The server filters the information it has obtained, optimizes it in a form where the difficulty level and relevance are adjusted according to the user's profile. The input is a set of relevant information, and the output is optimized information suitable for the user.

[0302] Step 7:

[0303] The optimized information is sent from the server to the terminal, and the terminal displays the information to the user as a notification or a popup. The final input is the optimized information, and the output is a visual display for the user.

[0304] Step 8:

[0305] The user checks the information presented and sends feedback to the server through the terminal. The input is the user's feedback, and the output is the updated feedback information. Based on the feedback, the server updates the user profile and reflects it in the next information generation process.

[0306] (Application Example 1)

[0307] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0308] In a modern manufacturing environment, when an operator operates new equipment or complex machinery, it is difficult to immediately obtain and understand specialized information. Therefore, in order to improve work efficiency, it is necessary to create an environment where operators can easily obtain and utilize the necessary information in real time. However, since information provision according to the knowledge and skill levels of individual operators has not been realized, there is a problem that the improvement of work efficiency is limited.

[0309] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0310] In this invention, the server includes a presentation device linkage means for presenting information through a display device worn by a worker, an input data acquisition means for recognizing the worker's voice or input actions and acquiring information, and a data analysis means for analyzing the information. As a result, the worker can receive appropriate information in real time and deepen their understanding according to their own knowledge level.

[0311] "Information input method" refers to the method by which users input knowledge level, skills, and career information when initially setting up a system.

[0312] A "profile creation method" is a method for recording the characteristics of a user in a database based on the information they input, and then providing customized information based on that information.

[0313] "Data analysis means" refers to a function that analyzes audio and text data acquired in real time to extract specialized terminology and related information.

[0314] "Information retrieval methods" refer to the process of efficiently finding relevant knowledge from multiple sources based on analyzed information.

[0315] "Information optimization means" refers to technologies that adjust retrieved information according to the user's profile and provide it to the user in the most optimal form.

[0316] "Information presentation means" refers to a device or method that provides optimized information to a user visually or audibly.

[0317] "Feedback collection methods" refer to methods of collecting opinions and evaluations from users and using them to improve the system.

[0318] "System improvement methods" refer to processes undertaken to improve the accuracy and efficiency of a system based on collected feedback.

[0319] The "display device linkage means" is a system that links with a display device worn by a worker to display information in real time.

[0320] The "input data acquisition means" is an interface that recognizes the worker's voice instructions and motion inputs and sends the necessary information to the system.

[0321] An embodiment of this invention is a system in which factory workers use a head-mounted display to acquire information in real time while performing their tasks. First, the user (worker) inputs their knowledge level and skill information using an information input means, and the server creates a profile based on this information. The profile creation means stores the generated profile in a database and uses it for future information provision.

[0322] During work, workers input voice and actions through microphones and cameras installed on terminals. Input data acquisition means recognize this information and identify necessary instructions and technical terms. This information is transmitted to the server via data analysis means. Based on the received data, the server uses information retrieval means to obtain relevant information from multiple online sources.

[0323] The server then uses information optimization means to adjust the information to suit the user profile. Information presentation means present the optimized information to the worker's display device (e.g., head-mounted display). This process allows the worker to instantly obtain appropriate information according to their knowledge level.

[0324] As a concrete example, consider a scenario where a worker is operating a new lathe. In this case, the worker uses voice input to communicate a prompt message to the terminal, such as, "Please tell me the precautions to take when operating the new lathe." The server then searches for relevant information and displays optimized instructions on the head-mounted display. This allows the worker to operate the machine safely and efficiently.

[0325] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0326] Step 1:

[0327] During initial setup, users input their knowledge level and skill information into the terminal via an information input device. This input data is sent to the server via a profile creation device. The server creates a profile based on this data and stores it in a database.

[0328] Step 2:

[0329] During the process, the user uses a microphone attached to a head-mounted display to voice-input prompts for necessary information. The input data acquisition device converts this voice into text data and prepares it for analysis. This allows the server to format the voice data in a format suitable for text-based analysis.

[0330] Step 3:

[0331] The terminal analyzes pre-processed text data using data analysis tools to identify relevant technical terms and topics. The analysis results are transmitted to the server via information retrieval tools, which then retrieves relevant information from external databases and online sources.

[0332] Step 4:

[0333] The server uses information optimization techniques to adjust the acquired information based on the user's profile. Specifically, it considers the difficulty and priority of the information and optimizes it to be the most understandable and relevant to the user. This optimization also includes filtering information using generative AI models.

[0334] Step 5:

[0335] Optimized information is displayed in real time on the user's head-mounted display via an information presentation device. The user can proceed with their work based on the presented information. If the presented information is insufficient, the user can enter additional prompts to request further information.

[0336] Step 6:

[0337] Users provide feedback on the usefulness of the information provided via their terminal. The feedback collection system receives this input and sends it to the server. The server analyzes the collected feedback using system improvement tools and uses it to improve information provision and optimization algorithms.

[0338] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0339] One possible embodiment of the present invention is a system that combines a user, a terminal, a server, and an emotion engine. This system aims not only to support the user's understanding of technical terms in real time, but also to recognize the user's emotional state and provide more appropriate information. The specific operation of this system is described below.

[0340] First, the user uses the device to perform initial setup and enters information about their knowledge level, skills, and career. The device sends this information to the server, which then creates and stores a user profile based on it. This profile serves as a baseline for providing information.

[0341] During meetings or while viewing documents, the device analyzes audio and text in real time, extracting specific terminology and related topics. In the process, the device's built-in emotion engine analyzes the user's facial expressions and tone of voice to collect emotional data. This data is sent to a server and used to understand the user's current emotional state.

[0342] The server performs information retrieval based on these keywords and sentiment data. Relevant information is retrieved from multiple databases and online sources. The server then filters and optimizes the information, taking into account the user's profile and emotional state. During the optimization process, the difficulty and amount of information are adjusted to avoid causing stress to the user.

[0343] Optimized information is sent to the device, which presents the information to the user in an appropriate manner. The user can understand and use the information based on this presentation. When the user provides feedback on the presented information, the device sends it to the server along with sentiment data. The server uses the feedback and sentiment data to improve how information is provided in the future.

[0344] As a concrete example, let's consider a scenario where a new employee is participating in a meeting. This employee understands technical terms based on real-time information displayed on their device, but their emotional state is also taken into consideration, allowing them to learn without feeling stressed. For example, if the emotion engine detects the user's tension, the system will present information at a reduced difficulty level.

[0345] Thus, the system of the present invention utilizes an emotion engine to support efficient information comprehension while reducing the user's psychological burden.

[0346] The following describes the processing flow.

[0347] Step 1:

[0348] The user uses a device to input their knowledge level, skills, and career information. The device then prepares to send the user's input information to the server.

[0349] Step 2:

[0350] The server receives information sent by the user and creates a user profile based on it. The created profile is stored in a database and used as basic data for providing information.

[0351] Step 3:

[0352] While the user is participating in the meeting, the device transcribes the audio into text in real time. Additionally, the device's built-in emotion engine analyzes the user's facial expressions and tone of voice to acquire emotional data.

[0353] Step 4:

[0354] The device sends the acquired text and sentiment data to the server. The server receives this data and prepares it for information retrieval.

[0355] Step 5:

[0356] The server extracts keywords and technical terms from the received text data and searches for related information in external databases and knowledge bases.

[0357] Step 6:

[0358] The server filters the acquired information based on user profiles and sentiment data, optimizing it into the format best suited to the user. During optimization, the difficulty level and detail level of the information are adjusted, taking sentiment data into consideration.

[0359] Step 7:

[0360] Optimized information is sent to the device. The device then provides the information to the user through notifications and interactive displays.

[0361] Step 8:

[0362] The user reviews the presented information and provides feedback on their understanding and usefulness. The device receives the user's feedback and sends it back to the server.

[0363] Step 9:

[0364] The server receives feedback and sentiment data, and updates the user profile based on this data. It also improves the information retrieval and optimization algorithms, and uses this information to improve future information delivery.

[0365] (Example 2)

[0366] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0367] Conventional information delivery systems have difficulty providing information tailored to users' knowledge levels and skills, and in situations requiring an understanding of technical terms, users often experience stress or information overload. Furthermore, there is a lack of information delivery methods that consider users' emotional states, often resulting in inappropriate information being presented. Therefore, there was a need to build a system that allows users to understand and utilize information more efficiently.

[0368] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0369] In this invention, the server includes information analysis means, emotion data collection means, and information optimization means. This enables the provision of appropriate information according to the user's knowledge level and skills, and further optimizes and presents information while considering the user's emotional state. As a result, a system is realized in which users can understand and utilize information efficiently without feeling stressed.

[0370] An "information input method" is a means by which a user inputs their own information.

[0371] A "characteristic information creation means" is a means for creating characteristic information based on user input information.

[0372] "Information analysis tools" are means for analyzing audio and text to extract specialized terminology.

[0373] "Methods for collecting emotional data" refer to methods for analyzing a user's facial expressions and tone of voice to collect emotional data.

[0374] An "information retrieval method" is a means of searching for specific information.

[0375] "Information optimization means" are methods for optimizing information based on search results and the user's emotional state.

[0376] An "information presentation method" is a means of presenting optimized information.

[0377] "Methods for collecting evaluations" refer to methods for collecting evaluations from users.

[0378] "System improvement measures" are means of improving a system based on collected evaluation and sentiment data.

[0379] As an embodiment of the present invention, a system is designed in which a user, a terminal, and a server work together. This system integrates an emotion engine that supports the user's understanding of technical terms in real time, recognizes the user's emotional state, and provides optimized information. Specific embodiments of the present invention are described below.

[0380] Users input information about their knowledge level, skills, and career through an interface on the terminal. The terminal has dedicated software installed for data analysis, where the input information is processed to some extent before being sent to the server.

[0381] The server uses advanced profiling algorithms to create and store characteristic profiles based on information sent from users. These profiles serve as foundational data for information optimization processes that utilize generative AI models.

[0382] During real-time meetings and document viewing, the device analyzes audio and text data to extract specialized terminology and important topics. Simultaneously, an emotion engine built into the device analyzes the user's facial expressions and tone of voice, collecting emotional data. All of this information is transmitted to a server.

[0383] Based on this analytical data, the server searches for specific information from multiple databases and online sources, and further optimizes the information based on the user's profile and current emotional state. This process utilizes a generative AI model to provide information efficiently while reducing stress for the user.

[0384] The optimized information is then presented to the user again through the device. Because this presentation is tailored to the user's characteristics and state, the user can more easily understand and utilize the information. When the user provides feedback on the presented information, the device sends that information and sentiment data to the server, which is used to improve future information delivery.

[0385] As a concrete example, consider a case where a new employee participates in their first meeting. This employee understands technical terms based on real-time information displayed on their device during the meeting. If the emotion engine detects the user's anxiety during this process, the system automatically adjusts the difficulty level of the information and provides less stressful content to support learning.

[0386] An example of a prompt for a generated AI model is, "Please explain a system for presenting real-time information on a terminal to help new employees understand technical terms during meetings."

[0387] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0388] Step 1:

[0389] The user uses the device to input information about their knowledge level, skills, and career. This input information is stored on the device as initial data. The device temporarily stores this data and prepares it for transmission to the server.

[0390] Step 2:

[0391] The terminal sends user input information to the server. During this process, the terminal converts the data format to a format the server can receive. The server then analyzes the received data and creates a user profile.

[0392] Step 3:

[0393] Users use the terminal during meetings or document viewing, inputting voice and text data into the terminal. The terminal uses its built-in analysis engine to extract specialized terminology and topics from the input data. The extracted data is processed in real time and sent to the server.

[0394] Step 4:

[0395] The emotion engine built into the device analyzes the user's facial expressions and tone of voice, collecting emotional data. This data, along with extracted technical terms, is sent to the server. This emotional data is important information that reflects the user's current psychological state.

[0396] Step 5:

[0397] The server performs information retrieval based on the technical terms and sentiment data it receives. It utilizes a generative AI model to retrieve relevant information from multiple databases and online sources. These search results are further optimized by considering the user's characteristic profile and current emotional state.

[0398] Step 6:

[0399] The server sends optimized information to the terminal. The terminal displays the received information in the format best suited to the user profile. This allows the user to efficiently understand and utilize the information.

[0400] Step 7:

[0401] The user provides feedback on the displayed information. The device then sends this feedback along with sentiment data back to the server. This information is used to improve future information delivery.

[0402] Step 8:

[0403] The server analyzes feedback and sentiment data, and uses a generative AI model to improve how information is delivered. This process optimizes the presentation of more relevant and effective content to the user in the future.

[0404] (Application Example 2)

[0405] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0406] In production environments such as factories, workers often face difficulties understanding specialized terminology and complex technical information when learning machine operation or new technologies, and this process can lead to significant mental stress. There is a need to solve this problem and provide an environment where workers can acquire skills efficiently and safely.

[0407] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0408] In this invention, the server includes an information input means for the user to perform initial setup, a profile creation means for creating personal identification information based on the user's input information, a data analysis means for analyzing information, an information acquisition means for searching for related information, an information adjustment means for optimizing the acquisition results, an information presentation means for presenting the adjusted information, an opinion collection means for collecting feedback, a system improvement means for improving the system based on the collected feedback, an emotion analysis means for sensing the user's emotional state and analyzing emotion data, and an information emotion adjustment means for optimizing information according to the emotional state. As a result, workers can receive information optimized according to their knowledge level and emotional state in real time, enabling them to learn and perform tasks efficiently while reducing mental stress.

[0409] "Information input means for user initial setup" refers to an interface for users to input their own information and environment settings before using the system.

[0410] "Means for creating a profile to generate personally identifiable information" refers to means for generating a profile based on user-specific information, using user input information.

[0411] "Data analysis means for analyzing information" refers to means of processing information and environmental data entered by users and converting it into meaningful data.

[0412] "Information acquisition means for searching for related information" refers to means for searching and acquiring necessary information from appropriate databases and information sources according to the user's needs.

[0413] "Information adjustment means for optimizing acquired results" refers to means of adjusting acquired information according to the user's profile and emotional state to create an optimal state for the user.

[0414] "Information presentation means for presenting adjusted information" refers to displays and interfaces that present optimized information to users in an easy-to-understand manner.

[0415] "Means of collecting opinions for gathering feedback" refers to a means by which users provide opinions and impressions about information, and a mechanism for the system to collect them.

[0416] "System improvement measures to enhance the system" refer to methods for improving the system's performance and usability based on collected feedback.

[0417] "An emotional analysis method for analyzing emotional data" refers to a technology for collecting emotional data from a user's voice, facial expressions, behavior, etc., and for analyzing that data.

[0418] "Information emotion adjustment means for optimizing information" refers to a means of adjusting the information presented based on analyzed emotion data, optimizing it to an appropriate difficulty level and quantity according to the user's emotional state.

[0419] This invention is a system that allows factory workers to learn machine operation and new technologies in real time using smart glasses. The server creates personal identification information based on initial setup information provided by the user and presents optimized information according to the user's knowledge level and emotional state. Hardware devices such as smart glasses perform data analysis and emotion analysis and transmit this information to the server. The server processes the data using a programming language such as Python and retrieves relevant information via an information retrieval means. The retrieved information is optimized by an information adjustment means and presented in an appropriate format, taking into account the user's emotional state.

[0420] The system uses emotion analysis libraries, user profile management libraries, and information retrieval and optimization libraries to analyze user voice and facial expression data and provide users with the most relevant information. For example, a worker unfamiliar with new factory machinery can receive relevant information in real time through smart glasses and receive easy-to-understand explanations if anxiety is detected, thereby improving work safety and efficiency. An example of a prompt to the generative AI model is, "Analyze the user's emotions in the work environment and adjust the difficulty level of the information displayed in real time." In this way, the learning experience is optimized to match the user's emotions.

[0421] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0422] Step 1:

[0423] The user performs the initial setup. The terminal prompts the user for information about their expertise and experience, and sends this information to the profile creation system. Based on this input, the profile creation system creates baseline personal identification information for the user. The resulting profile is stored on the server and used for subsequent information provision.

[0424] Step 2:

[0425] The device collects environmental data in real time. Using the device's voice recognition function and camera, it collects audio data of the work environment and user facial expression data. This data is converted into emotion data by an emotion analysis system, identifying the user's current emotional state. The analysis results are sent to a server and used as input data for information optimization.

[0426] Step 3:

[0427] The server searches for and optimizes information. Based on the acquired emotional state and user profile, the server searches for relevant information from an external database through the information acquisition means. The information acquisition means gathers relevant specialized information and passes it to the information adjustment means. The information adjustment means takes the user's emotional state into consideration and appropriately adjusts the difficulty level and display format of the information to generate optimized information.

[0428] Step 4:

[0429] The device presents information to the user. Optimized information is sent to the device by the server and displayed in real time on the user's smart glasses. The user can proceed with their work safely and efficiently while checking this information. Because the information is presented in a user-friendly format, learning efficiency is improved.

[0430] Step 5:

[0431] Users provide feedback. Users input their opinions and impressions of the presented information into their devices, and the feedback collected by the feedback collection mechanism is sent to the server. This data is analyzed by the system improvement mechanism and serves as basic data for improving the information provided and how it is presented in the future.

[0432] Step 6:

[0433] The server improves the system. Based on collected feedback and sentiment data, the server generates scenarios to improve how and what information is presented. This will further optimize the next information presentation for the user. This process is continuous, aiming to improve the user's learning experience.

[0434] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0435] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include those described above. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions shown by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0436] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0437] [Third Embodiment]

[0438] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0439] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0440] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0441] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0442] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0443] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0444] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0445] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0446] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0447] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0448] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0449] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0450] One possible embodiment of the present invention is a system in which a user, a terminal, and a server work together. This system aims to improve work efficiency by enabling users to instantly understand technical terms and related information. The specific operation of this system is described below.

[0451] First, when a user accesses the system for the first time, they input information about their knowledge level, career, and skills through a terminal. This information is sent from the terminal to the server, which creates a user profile and stores it in a database. This profile serves as the basis for future information provision.

[0452] During meetings or document viewing, the device analyzes speech and text in real time to identify technical terms and related topics. The information obtained by the device is sent to a server, which then searches for relevant information from multiple databases and online sources based on the received terms and topics.

[0453] The server filters the information obtained from this search based on the user's profile and optimizes it to suit the user's knowledge level. This optimization includes adjusting the difficulty level of the information and narrowing it down based on relevance. The optimized information is sent to the device and presented to the user in the form of notifications or pop-ups.

[0454] Users can review the information presented on their device and request additional details as needed. They can also provide feedback on the usefulness of the information provided, and this feedback is sent to the server via their device. The server uses this feedback to keep the user's profile up-to-date and to improve the information retrieval and optimization algorithms.

[0455] As a concrete example, consider a scenario where a new employee participates in a specialized meeting for the first time. This employee can analyze the meeting content in real time via their device and, based on information provided by the server, quickly understand the meaning and background of technical terms. This allows them to grasp the flow of the meeting and participate actively.

[0456] Thus, the system of the present invention enhances understanding of tasks and realizes an efficient work environment by providing optimal information tailored to each user's individual profile in real time.

[0457] The following describes the processing flow.

[0458] Step 1:

[0459] The user uses the device to input their knowledge level, skills, and career information. The device then prepares to send this information to the server.

[0460] Step 2:

[0461] The server receives information sent by the user and creates a user profile. This profile is stored in a database and used as the basis for future information provision.

[0462] Step 3:

[0463] While users are participating in meetings or viewing documents, the device analyzes audio and displayed text in real time. It recognizes specific technical terms and related topics, and extracts keywords.

[0464] Step 4:

[0465] The terminal sends the extracted keywords to the server. The server receives these keywords and uses them as basic data for searching for related information.

[0466] Step 5:

[0467] Based on the keywords received by the server, it searches for relevant information from multiple external databases and internal knowledge bases. Information is then collected.

[0468] Step 6:

[0469] The server filters the obtained information based on the user's profile and optimizes it to an appropriate level of difficulty. It then transforms the information into a format that is easy for the user to understand.

[0470] Step 7:

[0471] Optimized information is sent to the device, and the device presents it to the user via notification or pop-up. The user can then review and use the information.

[0472] Step 8:

[0473] The user provides feedback on the information provided. The device receives this feedback and prepares to send it to the server.

[0474] Step 9:

[0475] The server receives feedback, uses it to update the user profile, and further improves the accuracy of its information retrieval and optimization algorithms. This ensures that future information delivery is better tailored to the user's needs.

[0476] (Example 1)

[0477] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0478] In today's information society, users are required to quickly understand vast amounts of data and specialized terminology. However, because optimal information tailored to the user's knowledge level and skills is not provided in real time, there are challenges that lead to misunderstandings and decreased efficiency. Furthermore, because the information provided is uniform, information optimization tailored to individual users is not adequately performed.

[0479] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0480] In this invention, the server includes means for creating user data, means for retrieving information using external information sources, and means for generating information to optimize information based on the user data. This makes it possible to provide optimal information in real time according to the user's knowledge and skills, thereby improving comprehension and enabling efficient work execution.

[0481] "User data creation means" refers to a device or function for generating and storing a user profile based on the standard setting data entered by the user.

[0482] "Analysis means" refers to a device or function that instantly analyzes audio and text information and identifies necessary technical terms and related topics.

[0483] "Information retrieval means" refers to a device or function for efficiently searching for and obtaining relevant information using external information sources.

[0484] "Information generation means" refers to a device or function that adjusts and generates information in an optimal form according to user data, based on acquired information.

[0485] "Information display means" refers to a device or function for displaying optimized information on a user's terminal.

[0486] "Opinion gathering means" refers to a device or function used to collect opinions and evaluations from users and to improve the system.

[0487] "Generation means" refers to a device or function for improving information generation methods based on user feedback and enhancing the quality of the information provided.

[0488] This invention is implemented through a system in which users, terminals, and servers work together. The aim of this system is to help users quickly understand technical terms and related information, thereby improving work efficiency.

[0489] Users access the system using a terminal and set their criteria. Specifically, they input information about their knowledge level and skills into the terminal. This information is sent from the terminal to the server, where a user profile is created. This profile is stored in a database and serves as the basis for future information provision.

[0490] During meetings or document viewing, the terminal uses speech recognition and natural language processing technologies to analyze specialized terminology and related topics from speech and text in real time. The information obtained through this analysis is transmitted from the terminal to the server.

[0491] The server searches for relevant information using multiple databases and external sources based on the received terms and topics. During this process, it uses a generative AI model to generate prompts and perform efficient information retrieval. The information obtained from the search is filtered based on the user's profile, with adjustments made to difficulty levels and optimizations based on relevance.

[0492] The optimized information is sent from the server to the terminal. The terminal then presents this information to the user in an easy-to-use format on the display device. For example, it may be displayed as a notification or a pop-up.

[0493] Users can review the information presented on their device and request additional details if needed. They can also send feedback to the server via their device regarding the usefulness of the provided information. The server uses this feedback to update the user profile and improve the information generation method.

[0494] A concrete example is its use in a specialized meeting attended by a new employee for the first time. This employee can analyze the meeting content in real time via their terminal and receive information support from the server, enabling them to instantly understand the meaning and background of technical terms.

[0495] Example of an input prompt for the generating AI model: "Based on the following user profile, please explain the technical terms used in the meeting: A glossary of terms used in a technical meeting attended by users with an intermediate level of knowledge."

[0496] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0497] Step 1:

[0498] The user inputs baseline data regarding their knowledge level and skills using a device. The device then sends this input data to the server. The input data is obtained through text forms and selection fields. This generates the initial profile data.

[0499] Step 2:

[0500] The server creates a user profile based on the user's baseline data and stores it in the database. This profile, based on the user's skill level, years of experience, and area of ​​expertise, forms the basis for providing customized information to individual users.

[0501] Step 3:

[0502] While the user is attending a meeting or viewing documents, the device uses speech recognition and natural language processing (NLP) technology to analyze audio and text data in real time. This analysis identifies specialized terminology and related topics. The input data consists of audio files and text data, and the output results in the identified specialized terminology.

[0503] Step 4:

[0504] The terminal identifies specialized terminology and topic information and sends it to the server. The server uses this information and leverages a generative AI model to create a prompt. This prompt is used to search for relevant information. The input is the identified term, and the output is the prompt used for the search.

[0505] Step 5:

[0506] The server uses the generated prompt statements to search multiple databases and external information sources and retrieve relevant information. The input data is the prompt statements, and the output is a set of relevant information. The server optimizes this information based on the user profile.

[0507] Step 6:

[0508] The server filters the acquired information and optimizes it by adjusting the difficulty and relevance according to the user's profile. The input is a set of related information, and the output is optimized information tailored to the user.

[0509] Step 7:

[0510] Optimized information is sent from the server to the terminal, which then displays the information to the user as a notification or pop-up. The final input is optimized information, and the output is a visual display for the user.

[0511] Step 8:

[0512] The user reviews the presented information and sends feedback to the server via their device. The input is the user's feedback, and the output is the updated feedback information. Based on the feedback, the server updates the user profile and reflects it in the next information generation process.

[0513] (Application Example 1)

[0514] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0515] In modern manufacturing environments, it is difficult for workers to immediately acquire and understand specialized information when operating new equipment or complex machinery. Therefore, to improve work efficiency, it is necessary to create an environment where workers can easily obtain and utilize the necessary information in real time. However, there is a challenge in that improvements in work efficiency are limited because information is not provided according to the knowledge and skill level of individual workers.

[0516] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0517] In this invention, the server includes a presentation device linkage means for presenting information through a display device worn by a worker, an input data acquisition means for recognizing the worker's voice or input actions and acquiring information, and a data analysis means for analyzing the information. As a result, the worker can receive appropriate information in real time and deepen their understanding according to their own knowledge level.

[0518] "Information input method" refers to the method by which users input knowledge level, skills, and career information when initially setting up a system.

[0519] A "profile creation method" is a method for recording the characteristics of a user in a database based on the information they input, and then providing customized information based on that information.

[0520] "Data analysis means" refers to a function that analyzes audio and text data acquired in real time to extract specialized terminology and related information.

[0521] "Information retrieval methods" refer to the process of efficiently finding relevant knowledge from multiple sources based on analyzed information.

[0522] "Information optimization means" refers to technologies that adjust retrieved information according to the user's profile and provide it to the user in the most optimal form.

[0523] "Information presentation means" refers to a device or method that provides optimized information to a user visually or audibly.

[0524] "Feedback collection methods" refer to methods of collecting opinions and evaluations from users and using them to improve the system.

[0525] "System improvement methods" refer to processes undertaken to improve the accuracy and efficiency of a system based on collected feedback.

[0526] The "display device linkage means" is a system that links with a display device worn by a worker to display information in real time.

[0527] The "input data acquisition means" is an interface that recognizes the worker's voice instructions and motion inputs and sends the necessary information to the system.

[0528] An embodiment of this invention is a system in which factory workers use a head-mounted display to acquire information in real time while performing their tasks. First, the user (worker) inputs their knowledge level and skill information using an information input means, and the server creates a profile based on this information. The profile creation means stores the generated profile in a database and uses it for future information provision.

[0529] During work, workers input voice and actions through microphones and cameras installed on terminals. Input data acquisition means recognize this information and identify necessary instructions and technical terms. This information is transmitted to the server via data analysis means. Based on the received data, the server uses information retrieval means to obtain relevant information from multiple online sources.

[0530] The server then uses information optimization means to adjust the information to suit the user profile. Information presentation means present the optimized information to the worker's display device (e.g., head-mounted display). This process allows the worker to instantly obtain appropriate information according to their knowledge level.

[0531] As a concrete example, consider a scenario where a worker is operating a new lathe. In this case, the worker uses voice input to communicate a prompt message to the terminal, such as, "Please tell me the precautions to take when operating the new lathe." The server then searches for relevant information and displays optimized instructions on the head-mounted display. This allows the worker to operate the machine safely and efficiently.

[0532] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0533] Step 1:

[0534] During initial setup, users input their knowledge level and skill information into the terminal via an information input device. This input data is sent to the server via a profile creation device. The server creates a profile based on this data and stores it in a database.

[0535] Step 2:

[0536] During the process, the user uses a microphone attached to a head-mounted display to voice-input prompts for necessary information. The input data acquisition device converts this voice into text data and prepares it for analysis. This allows the server to format the voice data in a format suitable for text-based analysis.

[0537] Step 3:

[0538] The terminal analyzes pre-processed text data using data analysis tools to identify relevant technical terms and topics. The analysis results are transmitted to the server via information retrieval tools, which then retrieves relevant information from external databases and online sources.

[0539] Step 4:

[0540] The server uses information optimization techniques to adjust the acquired information based on the user's profile. Specifically, it considers the difficulty and priority of the information and optimizes it to be the most understandable and relevant to the user. This optimization also includes filtering information using generative AI models.

[0541] Step 5:

[0542] Optimized information is displayed in real time on the user's head-mounted display via an information presentation device. The user can proceed with their work based on the presented information. If the presented information is insufficient, the user can enter additional prompts to request further information.

[0543] Step 6:

[0544] Users provide feedback on the usefulness of the information provided via their terminal. The feedback collection system receives this input and sends it to the server. The server analyzes the collected feedback using system improvement tools and uses it to improve information provision and optimization algorithms.

[0545] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0546] One possible embodiment of the present invention is a system that combines a user, a terminal, a server, and an emotion engine. This system aims not only to support the user's understanding of technical terms in real time, but also to recognize the user's emotional state and provide more appropriate information. The specific operation of this system is described below.

[0547] First, the user uses the device to perform initial setup and enters information about their knowledge level, skills, and career. The device sends this information to the server, which then creates and stores a user profile based on it. This profile serves as a baseline for providing information.

[0548] During meetings or while viewing documents, the device analyzes audio and text in real time, extracting specific terminology and related topics. In the process, the device's built-in emotion engine analyzes the user's facial expressions and tone of voice to collect emotional data. This data is sent to a server and used to understand the user's current emotional state.

[0549] The server performs information retrieval based on these keywords and sentiment data. Relevant information is retrieved from multiple databases and online sources. The server then filters and optimizes the information, taking into account the user's profile and emotional state. During the optimization process, the difficulty and amount of information are adjusted to avoid causing stress to the user.

[0550] Optimized information is sent to the device, which presents the information to the user in an appropriate manner. The user can understand and use the information based on this presentation. When the user provides feedback on the presented information, the device sends it to the server along with sentiment data. The server uses the feedback and sentiment data to improve how information is provided in the future.

[0551] As a concrete example, let's consider a scenario where a new employee is participating in a meeting. This employee understands technical terms based on real-time information displayed on their device, but their emotional state is also taken into consideration, allowing them to learn without feeling stressed. For example, if the emotion engine detects the user's tension, the system will present information at a reduced difficulty level.

[0552] Thus, the system of the present invention utilizes an emotion engine to support efficient information comprehension while reducing the user's psychological burden.

[0553] The following describes the processing flow.

[0554] Step 1:

[0555] The user uses a device to input their knowledge level, skills, and career information. The device then prepares to send the user's input information to the server.

[0556] Step 2:

[0557] The server receives information sent by the user and creates a user profile based on it. The created profile is stored in a database and used as basic data for providing information.

[0558] Step 3:

[0559] While the user is participating in the meeting, the device transcribes the audio into text in real time. Additionally, the device's built-in emotion engine analyzes the user's facial expressions and tone of voice to acquire emotional data.

[0560] Step 4:

[0561] The device sends the acquired text and sentiment data to the server. The server receives this data and prepares it for information retrieval.

[0562] Step 5:

[0563] The server extracts keywords and technical terms from the received text data and searches for related information in external databases and knowledge bases.

[0564] Step 6:

[0565] The server filters the acquired information based on user profiles and sentiment data, optimizing it into the format best suited to the user. During optimization, the difficulty level and detail level of the information are adjusted, taking sentiment data into consideration.

[0566] Step 7:

[0567] Optimized information is sent to the device. The device then provides the information to the user through notifications and interactive displays.

[0568] Step 8:

[0569] The user reviews the presented information and provides feedback on their understanding and usefulness. The device receives the user's feedback and sends it back to the server.

[0570] Step 9:

[0571] The server receives feedback and sentiment data, and updates the user profile based on this data. It also improves the information retrieval and optimization algorithms, and uses this information to improve future information delivery.

[0572] (Example 2)

[0573] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0574] Conventional information delivery systems have difficulty providing information tailored to users' knowledge levels and skills, and in situations requiring an understanding of technical terms, users often experience stress or information overload. Furthermore, there is a lack of information delivery methods that consider users' emotional states, often resulting in inappropriate information being presented. Therefore, there was a need to build a system that allows users to understand and utilize information more efficiently.

[0575] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0576] In this invention, the server includes information analysis means, emotion data collection means, and information optimization means. This enables the provision of appropriate information according to the user's knowledge level and skills, and further optimizes and presents information while considering the user's emotional state. As a result, a system is realized in which users can understand and utilize information efficiently without feeling stressed.

[0577] An "information input method" is a means by which a user inputs their own information.

[0578] A "characteristic information creation means" is a means for creating characteristic information based on user input information.

[0579] "Information analysis tools" are means for analyzing audio and text to extract specialized terminology.

[0580] "Methods for collecting emotional data" refer to methods for analyzing a user's facial expressions and tone of voice to collect emotional data.

[0581] An "information retrieval method" is a means of searching for specific information.

[0582] "Information optimization means" are methods for optimizing information based on search results and the user's emotional state.

[0583] An "information presentation method" is a means of presenting optimized information.

[0584] "Methods for collecting evaluations" refer to methods for collecting evaluations from users.

[0585] "System improvement measures" are means of improving a system based on collected evaluation and sentiment data.

[0586] As an embodiment of the present invention, a system is designed in which a user, a terminal, and a server work together. This system integrates an emotion engine that supports the user's understanding of technical terms in real time, recognizes the user's emotional state, and provides optimized information. Specific embodiments of the present invention are described below.

[0587] Users input information about their knowledge level, skills, and career through an interface on the terminal. The terminal has dedicated software installed for data analysis, where the input information is processed to some extent before being sent to the server.

[0588] The server uses advanced profiling algorithms to create and store characteristic profiles based on information sent from users. These profiles serve as foundational data for information optimization processes that utilize generative AI models.

[0589] During real-time meetings and document viewing, the device analyzes audio and text data to extract specialized terminology and important topics. Simultaneously, an emotion engine built into the device analyzes the user's facial expressions and tone of voice, collecting emotional data. All of this information is transmitted to a server.

[0590] Based on this analytical data, the server searches for specific information from multiple databases and online sources, and further optimizes the information based on the user's profile and current emotional state. This process utilizes a generative AI model to provide information efficiently while reducing stress for the user.

[0591] The optimized information is then presented to the user again through the device. Because this presentation is tailored to the user's characteristics and state, the user can more easily understand and utilize the information. When the user provides feedback on the presented information, the device sends that information and sentiment data to the server, which is used to improve future information delivery.

[0592] As a concrete example, consider a case where a new employee participates in their first meeting. This employee understands technical terms based on real-time information displayed on their device during the meeting. If the emotion engine detects the user's anxiety during this process, the system automatically adjusts the difficulty level of the information and provides less stressful content to support learning.

[0593] An example of a prompt for a generated AI model is, "Please explain a system for presenting real-time information on a terminal to help new employees understand technical terms during meetings."

[0594] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0595] Step 1:

[0596] The user uses the device to input information about their knowledge level, skills, and career. This input information is stored on the device as initial data. The device temporarily stores this data and prepares it for transmission to the server.

[0597] Step 2:

[0598] The terminal sends user input information to the server. During this process, the terminal converts the data format to a format the server can receive. The server then analyzes the received data and creates a user profile.

[0599] Step 3:

[0600] Users use the terminal during meetings or document viewing, inputting voice and text data into the terminal. The terminal uses its built-in analysis engine to extract specialized terminology and topics from the input data. The extracted data is processed in real time and sent to the server.

[0601] Step 4:

[0602] The emotion engine built into the device analyzes the user's facial expressions and tone of voice, collecting emotional data. This data, along with extracted technical terms, is sent to the server. This emotional data is important information that reflects the user's current psychological state.

[0603] Step 5:

[0604] The server performs information retrieval based on the technical terms and sentiment data it receives. It utilizes a generative AI model to retrieve relevant information from multiple databases and online sources. These search results are further optimized by considering the user's characteristic profile and current emotional state.

[0605] Step 6:

[0606] The server sends optimized information to the terminal. The terminal displays the received information in the format best suited to the user profile. This allows the user to efficiently understand and utilize the information.

[0607] Step 7:

[0608] The user provides feedback on the displayed information. The device then sends this feedback along with sentiment data back to the server. This information is used to improve future information delivery.

[0609] Step 8:

[0610] The server analyzes feedback and sentiment data, and uses a generative AI model to improve how information is delivered. This process optimizes the presentation of more relevant and effective content to the user in the future.

[0611] (Application Example 2)

[0612] Next, we will explain Application Example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0613] In production environments such as factories, workers often face difficulties understanding specialized terminology and complex technical information when learning machine operation or new technologies, and this process can lead to significant mental stress. There is a need to solve this problem and provide an environment where workers can acquire skills efficiently and safely.

[0614] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0615] In this invention, the server includes an information input means for the user to perform initial setup, a profile creation means for creating personal identification information based on the user's input information, a data analysis means for analyzing information, an information acquisition means for searching for related information, an information adjustment means for optimizing the acquisition results, an information presentation means for presenting the adjusted information, an opinion collection means for collecting feedback, a system improvement means for improving the system based on the collected feedback, an emotion analysis means for sensing the user's emotional state and analyzing emotion data, and an information emotion adjustment means for optimizing information according to the emotional state. As a result, workers can receive information optimized according to their knowledge level and emotional state in real time, enabling them to learn and perform tasks efficiently while reducing mental stress.

[0616] "Information input means for user initial setup" refers to an interface for users to input their own information and environment settings before using the system.

[0617] "Means for creating a profile to generate personally identifiable information" refers to means for generating a profile based on user-specific information, using user input information.

[0618] "Data analysis means for analyzing information" refers to means of processing information and environmental data entered by users and converting it into meaningful data.

[0619] "Information acquisition means for searching for related information" refers to means for searching and acquiring necessary information from appropriate databases and information sources according to the user's needs.

[0620] "Information adjustment means for optimizing acquired results" refers to means of adjusting acquired information according to the user's profile and emotional state to create an optimal state for the user.

[0621] "Information presentation means for presenting adjusted information" refers to displays and interfaces that present optimized information to users in an easy-to-understand manner.

[0622] "Means of collecting opinions for gathering feedback" refers to a means by which users provide opinions and impressions about information, and a mechanism for the system to collect them.

[0623] "System improvement measures to enhance the system" refer to methods for improving the system's performance and usability based on collected feedback.

[0624] "An emotional analysis method for analyzing emotional data" refers to a technology for collecting emotional data from a user's voice, facial expressions, behavior, etc., and for analyzing that data.

[0625] "Information emotion adjustment means for optimizing information" refers to a means of adjusting the information presented based on analyzed emotion data, optimizing it to an appropriate difficulty level and quantity according to the user's emotional state.

[0626] This invention is a system that allows factory workers to learn machine operation and new technologies in real time using smart glasses. The server creates personal identification information based on initial setup information provided by the user and presents optimized information according to the user's knowledge level and emotional state. Hardware devices such as smart glasses perform data analysis and emotion analysis and transmit this information to the server. The server processes the data using a programming language such as Python and retrieves relevant information via an information retrieval means. The retrieved information is optimized by an information adjustment means and presented in an appropriate format, taking into account the user's emotional state.

[0627] The system uses emotion analysis libraries, user profile management libraries, and information retrieval and optimization libraries to analyze user voice and facial expression data and provide users with the most relevant information. For example, a worker unfamiliar with new factory machinery can receive relevant information in real time through smart glasses and receive easy-to-understand explanations if anxiety is detected, thereby improving work safety and efficiency. An example of a prompt to the generative AI model is, "Analyze the user's emotions in the work environment and adjust the difficulty level of the information displayed in real time." In this way, the learning experience is optimized to match the user's emotions.

[0628] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0629] Step 1:

[0630] The user performs the initial setup. The terminal prompts the user for information about their expertise and experience, and sends this information to the profile creation system. Based on this input, the profile creation system creates baseline personal identification information for the user. The resulting profile is stored on the server and used for subsequent information provision.

[0631] Step 2:

[0632] The device collects environmental data in real time. Using the device's voice recognition function and camera, it collects audio data of the work environment and user facial expression data. This data is converted into emotion data by an emotion analysis system, identifying the user's current emotional state. The analysis results are sent to a server and used as input data for information optimization.

[0633] Step 3:

[0634] The server searches for and optimizes information. Based on the acquired emotional state and user profile, the server searches for relevant information from an external database through the information acquisition means. The information acquisition means gathers relevant specialized information and passes it to the information adjustment means. The information adjustment means takes the user's emotional state into consideration and appropriately adjusts the difficulty level and display format of the information to generate optimized information.

[0635] Step 4:

[0636] The device presents information to the user. Optimized information is sent to the device by the server and displayed in real time on the user's smart glasses. The user can proceed with their work safely and efficiently while checking this information. Because the information is presented in a user-friendly format, learning efficiency is improved.

[0637] Step 5:

[0638] Users provide feedback. Users input their opinions and impressions of the presented information into their devices, and the feedback collected by the feedback collection mechanism is sent to the server. This data is analyzed by the system improvement mechanism and serves as basic data for improving the information provided and how it is presented in the future.

[0639] Step 6:

[0640] The server improves the system. Based on collected feedback and sentiment data, the server generates scenarios to improve how and what information is presented. This will further optimize the next information presentation for the user. This process is continuous, aiming to improve the user's learning experience.

[0641] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0642] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include those described above. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions shown by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0643] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0644] [Fourth Embodiment]

[0645] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0646] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0647] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0648] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0649] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0650] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0651] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0652] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0653] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0654] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0655] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0656] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0657] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0658] One possible embodiment of the present invention is a system in which a user, a terminal, and a server work together. This system aims to improve work efficiency by enabling users to instantly understand technical terms and related information. The specific operation of this system is described below.

[0659] First, when a user accesses the system for the first time, they input information about their knowledge level, career, and skills through a terminal. This information is sent from the terminal to the server, which creates a user profile and stores it in a database. This profile serves as the basis for future information provision.

[0660] During meetings or document viewing, the device analyzes speech and text in real time to identify technical terms and related topics. The information obtained by the device is sent to a server, which then searches for relevant information from multiple databases and online sources based on the received terms and topics.

[0661] The server filters the information obtained from this search based on the user's profile and optimizes it to suit the user's knowledge level. This optimization includes adjusting the difficulty level of the information and narrowing it down based on relevance. The optimized information is sent to the device and presented to the user in the form of notifications or pop-ups.

[0662] Users can review the information presented on their device and request additional details as needed. They can also provide feedback on the usefulness of the information provided, and this feedback is sent to the server via their device. The server uses this feedback to keep the user's profile up-to-date and to improve the information retrieval and optimization algorithms.

[0663] As a concrete example, consider a scenario where a new employee participates in a specialized meeting for the first time. This employee can analyze the meeting content in real time via their device and, based on information provided by the server, quickly understand the meaning and background of technical terms. This allows them to grasp the flow of the meeting and participate actively.

[0664] Thus, the system of the present invention enhances understanding of tasks and realizes an efficient work environment by providing optimal information tailored to each user's individual profile in real time.

[0665] The following describes the processing flow.

[0666] Step 1:

[0667] The user uses the device to input their knowledge level, skills, and career information. The device then prepares to send this information to the server.

[0668] Step 2:

[0669] The server receives information sent by the user and creates a user profile. This profile is stored in a database and used as the basis for future information provision.

[0670] Step 3:

[0671] While users are participating in meetings or viewing documents, the device analyzes audio and displayed text in real time. It recognizes specific technical terms and related topics, and extracts keywords.

[0672] Step 4:

[0673] The terminal sends the extracted keywords to the server. The server receives these keywords and uses them as basic data for searching for related information.

[0674] Step 5:

[0675] Based on the keywords received by the server, it searches for relevant information from multiple external databases and internal knowledge bases. Information is then collected.

[0676] Step 6:

[0677] The server filters the obtained information based on the user's profile and optimizes it to an appropriate level of difficulty. It then transforms the information into a format that is easy for the user to understand.

[0678] Step 7:

[0679] Optimized information is sent to the device, and the device presents it to the user via notification or pop-up. The user can then review and use the information.

[0680] Step 8:

[0681] The user provides feedback on the information provided. The device receives this feedback and prepares to send it to the server.

[0682] Step 9:

[0683] The server receives feedback, uses it to update the user profile, and further improves the accuracy of its information retrieval and optimization algorithms. This ensures that future information delivery is better tailored to the user's needs.

[0684] (Example 1)

[0685] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0686] In today's information society, users are required to quickly understand vast amounts of data and specialized terminology. However, because optimal information tailored to the user's knowledge level and skills is not provided in real time, there are challenges that lead to misunderstandings and decreased efficiency. Furthermore, because the information provided is uniform, information optimization tailored to individual users is not adequately performed.

[0687] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0688] In this invention, the server includes means for creating user data, means for retrieving information using external information sources, and means for generating information to optimize information based on the user data. This makes it possible to provide optimal information in real time according to the user's knowledge and skills, thereby improving comprehension and enabling efficient work execution.

[0689] "User data creation means" refers to a device or function for generating and storing a user profile based on the standard setting data entered by the user.

[0690] "Analysis means" refers to a device or function that instantly analyzes audio and text information and identifies necessary technical terms and related topics.

[0691] "Information retrieval means" refers to a device or function for efficiently searching for and obtaining relevant information using external information sources.

[0692] "Information generation means" refers to a device or function that adjusts and generates information in an optimal form according to user data, based on acquired information.

[0693] "Information display means" refers to a device or function for displaying optimized information on a user's terminal.

[0694] "Opinion gathering means" refers to a device or function used to collect opinions and evaluations from users and to improve the system.

[0695] "Generation means" refers to a device or function for improving information generation methods based on user feedback and enhancing the quality of the information provided.

[0696] This invention is implemented through a system in which users, terminals, and servers work together. The aim of this system is to help users quickly understand technical terms and related information, thereby improving work efficiency.

[0697] Users access the system using a terminal and set their criteria. Specifically, they input information about their knowledge level and skills into the terminal. This information is sent from the terminal to the server, where a user profile is created. This profile is stored in a database and serves as the basis for future information provision.

[0698] During meetings or document viewing, the terminal uses speech recognition and natural language processing technologies to analyze specialized terminology and related topics from speech and text in real time. The information obtained through this analysis is transmitted from the terminal to the server.

[0699] The server searches for relevant information using multiple databases and external sources based on the received terms and topics. During this process, it uses a generative AI model to generate prompts and perform efficient information retrieval. The information obtained from the search is filtered based on the user's profile, with adjustments made to difficulty levels and optimizations based on relevance.

[0700] The optimized information is sent from the server to the terminal. The terminal then presents this information to the user in an easy-to-use format on the display device. For example, it may be displayed as a notification or a pop-up.

[0701] Users can review the information presented on their device and request additional details if needed. They can also send feedback to the server via their device regarding the usefulness of the provided information. The server uses this feedback to update the user profile and improve the information generation method.

[0702] A concrete example is its use in a specialized meeting attended by a new employee for the first time. This employee can analyze the meeting content in real time via their terminal and receive information support from the server, enabling them to instantly understand the meaning and background of technical terms.

[0703] Example of an input prompt for the generating AI model: "Based on the following user profile, please explain the technical terms used in the meeting: A glossary of terms used in a technical meeting attended by users with an intermediate level of knowledge."

[0704] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0705] Step 1:

[0706] The user inputs baseline data regarding their knowledge level and skills using a device. The device then sends this input data to the server. The input data is obtained through text forms and selection fields. This generates the initial profile data.

[0707] Step 2:

[0708] The server creates a user profile based on the user's baseline data and stores it in the database. This profile, based on the user's skill level, years of experience, and area of ​​expertise, forms the basis for providing customized information to individual users.

[0709] Step 3:

[0710] While the user is attending a meeting or viewing documents, the device uses speech recognition and natural language processing (NLP) technology to analyze audio and text data in real time. This analysis identifies specialized terminology and related topics. The input data consists of audio files and text data, and the output results in the identified specialized terminology.

[0711] Step 4:

[0712] The terminal identifies specialized terminology and topic information and sends it to the server. The server uses this information and leverages a generative AI model to create a prompt. This prompt is used to search for relevant information. The input is the identified term, and the output is the prompt used for the search.

[0713] Step 5:

[0714] The server uses the generated prompt statements to search multiple databases and external information sources and retrieve relevant information. The input data is the prompt statements, and the output is a set of relevant information. The server optimizes this information based on the user profile.

[0715] Step 6:

[0716] The server filters the acquired information and optimizes it by adjusting the difficulty and relevance according to the user's profile. The input is a set of related information, and the output is optimized information tailored to the user.

[0717] Step 7:

[0718] Optimized information is sent from the server to the terminal, which then displays the information to the user as a notification or pop-up. The final input is optimized information, and the output is a visual display for the user.

[0719] Step 8:

[0720] The user reviews the presented information and sends feedback to the server via their device. The input is the user's feedback, and the output is the updated feedback information. Based on the feedback, the server updates the user profile and reflects it in the next information generation process.

[0721] (Application Example 1)

[0722] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0723] In modern manufacturing environments, it is difficult for workers to immediately acquire and understand specialized information when operating new equipment or complex machinery. Therefore, to improve work efficiency, it is necessary to create an environment where workers can easily obtain and utilize the necessary information in real time. However, there is a challenge in that improvements in work efficiency are limited because information is not provided according to the knowledge and skill level of individual workers.

[0724] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0725] In this invention, the server includes a presentation device linkage means for presenting information through a display device worn by a worker, an input data acquisition means for recognizing the worker's voice or input actions and acquiring information, and a data analysis means for analyzing the information. As a result, the worker can receive appropriate information in real time and deepen their understanding according to their own knowledge level.

[0726] "Information input method" refers to the method by which users input knowledge level, skills, and career information when initially setting up a system.

[0727] A "profile creation method" is a method for recording the characteristics of a user in a database based on the information they input, and then providing customized information based on that information.

[0728] "Data analysis means" refers to a function that analyzes audio and text data acquired in real time to extract specialized terminology and related information.

[0729] "Information retrieval methods" refer to the process of efficiently finding relevant knowledge from multiple sources based on analyzed information.

[0730] "Information optimization means" refers to technologies that adjust retrieved information according to the user's profile and provide it to the user in the most optimal form.

[0731] "Information presentation means" refers to a device or method that provides optimized information to a user visually or audibly.

[0732] "Feedback collection methods" refer to methods of collecting opinions and evaluations from users and using them to improve the system.

[0733] "System improvement methods" refer to processes undertaken to improve the accuracy and efficiency of a system based on collected feedback.

[0734] The "display device linkage means" is a system that links with a display device worn by a worker to display information in real time.

[0735] The "input data acquisition means" is an interface that recognizes the worker's voice instructions and motion inputs and sends the necessary information to the system.

[0736] An embodiment of this invention is a system in which factory workers use a head-mounted display to acquire information in real time while performing their tasks. First, the user (worker) inputs their knowledge level and skill information using an information input means, and the server creates a profile based on this information. The profile creation means stores the generated profile in a database and uses it for future information provision.

[0737] During work, workers input voice and actions through microphones and cameras installed on terminals. Input data acquisition means recognize this information and identify necessary instructions and technical terms. This information is transmitted to the server via data analysis means. Based on the received data, the server uses information retrieval means to obtain relevant information from multiple online sources.

[0738] The server then uses information optimization means to adjust the information to suit the user profile. Information presentation means present the optimized information to the worker's display device (e.g., head-mounted display). This process allows the worker to instantly obtain appropriate information according to their knowledge level.

[0739] As a concrete example, consider a scenario where a worker is operating a new lathe. In this case, the worker uses voice input to communicate a prompt message to the terminal, such as, "Please tell me the precautions to take when operating the new lathe." The server then searches for relevant information and displays optimized instructions on the head-mounted display. This allows the worker to operate the machine safely and efficiently.

[0740] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0741] Step 1:

[0742] During initial setup, users input their knowledge level and skill information into the terminal via an information input device. This input data is sent to the server via a profile creation device. The server creates a profile based on this data and stores it in a database.

[0743] Step 2:

[0744] During the process, the user uses a microphone attached to a head-mounted display to voice-input prompts for necessary information. The input data acquisition device converts this voice into text data and prepares it for analysis. This allows the server to format the voice data in a format suitable for text-based analysis.

[0745] Step 3:

[0746] The terminal analyzes pre-processed text data using data analysis tools to identify relevant technical terms and topics. The analysis results are transmitted to the server via information retrieval tools, which then retrieves relevant information from external databases and online sources.

[0747] Step 4:

[0748] The server uses information optimization techniques to adjust the acquired information based on the user's profile. Specifically, it considers the difficulty and priority of the information and optimizes it to be the most understandable and relevant to the user. This optimization also includes filtering information using generative AI models.

[0749] Step 5:

[0750] Optimized information is displayed in real time on the user's head-mounted display via an information presentation device. The user can proceed with their work based on the presented information. If the presented information is insufficient, the user can enter additional prompts to request further information.

[0751] Step 6:

[0752] Users provide feedback on the usefulness of the information provided via their terminal. The feedback collection system receives this input and sends it to the server. The server analyzes the collected feedback using system improvement tools and uses it to improve information provision and optimization algorithms.

[0753] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0754] One possible embodiment of the present invention is a system that combines a user, a terminal, a server, and an emotion engine. This system aims not only to support the user's understanding of technical terms in real time, but also to recognize the user's emotional state and provide more appropriate information. The specific operation of this system is described below.

[0755] First, the user uses the device to perform initial setup and enters information about their knowledge level, skills, and career. The device sends this information to the server, which then creates and stores a user profile based on it. This profile serves as a baseline for providing information.

[0756] During meetings or while viewing documents, the device analyzes audio and text in real time, extracting specific terminology and related topics. In the process, the device's built-in emotion engine analyzes the user's facial expressions and tone of voice to collect emotional data. This data is sent to a server and used to understand the user's current emotional state.

[0757] The server performs information retrieval based on these keywords and sentiment data. Relevant information is retrieved from multiple databases and online sources. The server then filters and optimizes the information, taking into account the user's profile and emotional state. During the optimization process, the difficulty and amount of information are adjusted to avoid causing stress to the user.

[0758] Optimized information is sent to the device, which presents the information to the user in an appropriate manner. The user can understand and use the information based on this presentation. When the user provides feedback on the presented information, the device sends it to the server along with sentiment data. The server uses the feedback and sentiment data to improve how information is provided in the future.

[0759] As a concrete example, let's consider a scenario where a new employee is participating in a meeting. This employee understands technical terms based on real-time information displayed on their device, but their emotional state is also taken into consideration, allowing them to learn without feeling stressed. For example, if the emotion engine detects the user's tension, the system will present information at a reduced difficulty level.

[0760] Thus, the system of the present invention utilizes an emotion engine to support efficient information comprehension while reducing the user's psychological burden.

[0761] The following describes the processing flow.

[0762] Step 1:

[0763] The user uses a device to input their knowledge level, skills, and career information. The device then prepares to send the user's input information to the server.

[0764] Step 2:

[0765] The server receives information sent by the user and creates a user profile based on it. The created profile is stored in a database and used as basic data for providing information.

[0766] Step 3:

[0767] While the user is participating in the meeting, the device transcribes the audio into text in real time. Additionally, the device's built-in emotion engine analyzes the user's facial expressions and tone of voice to acquire emotional data.

[0768] Step 4:

[0769] The device sends the acquired text and sentiment data to the server. The server receives this data and prepares it for information retrieval.

[0770] Step 5:

[0771] The server extracts keywords and technical terms from the received text data and searches for related information in external databases and knowledge bases.

[0772] Step 6:

[0773] The server filters the acquired information based on user profiles and sentiment data, optimizing it into the format best suited to the user. During optimization, the difficulty level and detail level of the information are adjusted, taking sentiment data into consideration.

[0774] Step 7:

[0775] Optimized information is sent to the device. The device then provides the information to the user through notifications and interactive displays.

[0776] Step 8:

[0777] The user reviews the presented information and provides feedback on their understanding and usefulness. The device receives the user's feedback and sends it back to the server.

[0778] Step 9:

[0779] The server receives feedback and sentiment data, and updates the user profile based on this data. It also improves the information retrieval and optimization algorithms, and uses this information to improve future information delivery.

[0780] (Example 2)

[0781] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0782] Conventional information delivery systems have difficulty providing information tailored to users' knowledge levels and skills, and in situations requiring an understanding of technical terms, users often experience stress or information overload. Furthermore, there is a lack of information delivery methods that consider users' emotional states, often resulting in inappropriate information being presented. Therefore, there was a need to build a system that allows users to understand and utilize information more efficiently.

[0783] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0784] In this invention, the server includes information analysis means, emotion data collection means, and information optimization means. This enables the provision of appropriate information according to the user's knowledge level and skills, and further optimizes and presents information while considering the user's emotional state. As a result, a system is realized in which users can understand and utilize information efficiently without feeling stressed.

[0785] An "information input method" is a means by which a user inputs their own information.

[0786] A "characteristic information creation means" is a means for creating characteristic information based on user input information.

[0787] "Information analysis tools" are means for analyzing audio and text to extract specialized terminology.

[0788] "Methods for collecting emotional data" refer to methods for analyzing a user's facial expressions and tone of voice to collect emotional data.

[0789] An "information retrieval method" is a means of searching for specific information.

[0790] "Information optimization means" are methods for optimizing information based on search results and the user's emotional state.

[0791] An "information presentation method" is a means of presenting optimized information.

[0792] "Methods for collecting evaluations" refer to methods for collecting evaluations from users.

[0793] "System improvement measures" are means of improving a system based on collected evaluation and sentiment data.

[0794] As an embodiment of the present invention, a system is designed in which a user, a terminal, and a server work together. This system integrates an emotion engine that supports the user's understanding of technical terms in real time, recognizes the user's emotional state, and provides optimized information. Specific embodiments of the present invention are described below.

[0795] Users input information about their knowledge level, skills, and career through an interface on the terminal. The terminal has dedicated software installed for data analysis, where the input information is processed to some extent before being sent to the server.

[0796] The server uses advanced profiling algorithms to create and store characteristic profiles based on information sent from users. These profiles serve as foundational data for information optimization processes that utilize generative AI models.

[0797] During real-time meetings and document viewing, the device analyzes audio and text data to extract specialized terminology and important topics. Simultaneously, an emotion engine built into the device analyzes the user's facial expressions and tone of voice, collecting emotional data. All of this information is transmitted to a server.

[0798] Based on this analytical data, the server searches for specific information from multiple databases and online sources, and further optimizes the information based on the user's profile and current emotional state. This process utilizes a generative AI model to provide information efficiently while reducing stress for the user.

[0799] The optimized information is then presented to the user again through the device. Because this presentation is tailored to the user's characteristics and state, the user can more easily understand and utilize the information. When the user provides feedback on the presented information, the device sends that information and sentiment data to the server, which is used to improve future information delivery.

[0800] As a concrete example, consider a case where a new employee participates in their first meeting. This employee understands technical terms based on real-time information displayed on their device during the meeting. If the emotion engine detects the user's anxiety during this process, the system automatically adjusts the difficulty level of the information and provides less stressful content to support learning.

[0801] An example of a prompt for a generated AI model is, "Please explain a system for presenting real-time information on a terminal to help new employees understand technical terms during meetings."

[0802] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0803] Step 1:

[0804] The user uses the device to input information about their knowledge level, skills, and career. This input information is stored on the device as initial data. The device temporarily stores this data and prepares it for transmission to the server.

[0805] Step 2:

[0806] The terminal sends user input information to the server. During this process, the terminal converts the data format to a format the server can receive. The server then analyzes the received data and creates a user profile.

[0807] Step 3:

[0808] Users use the terminal during meetings or document viewing, inputting voice and text data into the terminal. The terminal uses its built-in analysis engine to extract specialized terminology and topics from the input data. The extracted data is processed in real time and sent to the server.

[0809] Step 4:

[0810] The emotion engine built into the device analyzes the user's facial expressions and tone of voice, collecting emotional data. This data, along with extracted technical terms, is sent to the server. This emotional data is important information that reflects the user's current psychological state.

[0811] Step 5:

[0812] The server performs information retrieval based on the technical terms and sentiment data it receives. It utilizes a generative AI model to retrieve relevant information from multiple databases and online sources. These search results are further optimized by considering the user's characteristic profile and current emotional state.

[0813] Step 6:

[0814] The server sends optimized information to the terminal. The terminal displays the received information in the format best suited to the user profile. This allows the user to efficiently understand and utilize the information.

[0815] Step 7:

[0816] The user provides feedback on the displayed information. The device then sends this feedback along with sentiment data back to the server. This information is used to improve future information delivery.

[0817] Step 8:

[0818] The server analyzes feedback and sentiment data, and uses a generative AI model to improve how information is delivered. This process optimizes the presentation of more relevant and effective content to the user in the future.

[0819] (Application Example 2)

[0820] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0821] In production environments such as factories, workers often face difficulties understanding specialized terminology and complex technical information when learning machine operation or new technologies, and this process can lead to significant mental stress. There is a need to solve this problem and provide an environment where workers can acquire skills efficiently and safely.

[0822] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0823] In this invention, the server includes an information input means for the user to perform initial setup, a profile creation means for creating personal identification information based on the user's input information, a data analysis means for analyzing information, an information acquisition means for searching for related information, an information adjustment means for optimizing the acquisition results, an information presentation means for presenting the adjusted information, an opinion collection means for collecting feedback, a system improvement means for improving the system based on the collected feedback, an emotion analysis means for sensing the user's emotional state and analyzing emotion data, and an information emotion adjustment means for optimizing information according to the emotional state. As a result, workers can receive information optimized according to their knowledge level and emotional state in real time, enabling them to learn and perform tasks efficiently while reducing mental stress.

[0824] "Information input means for user initial setup" refers to an interface for users to input their own information and environment settings before using the system.

[0825] "Means for creating a profile to generate personally identifiable information" refers to means for generating a profile based on user-specific information, using user input information.

[0826] "Data analysis means for analyzing information" refers to means of processing information and environmental data entered by users and converting it into meaningful data.

[0827] "Information acquisition means for searching for related information" refers to means for searching and acquiring necessary information from appropriate databases and information sources according to the user's needs.

[0828] "Information adjustment means for optimizing acquired results" refers to means of adjusting acquired information according to the user's profile and emotional state to create an optimal state for the user.

[0829] "Information presentation means for presenting adjusted information" refers to displays and interfaces that present optimized information to users in an easy-to-understand manner.

[0830] "Means of collecting opinions for gathering feedback" refers to a means by which users provide opinions and impressions about information, and a mechanism for the system to collect them.

[0831] "System improvement measures to enhance the system" refer to methods for improving the system's performance and usability based on collected feedback.

[0832] "An emotional analysis method for analyzing emotional data" refers to a technology for collecting emotional data from a user's voice, facial expressions, behavior, etc., and for analyzing that data.

[0833] "Information emotion adjustment means for optimizing information" refers to a means of adjusting the information presented based on analyzed emotion data, optimizing it to an appropriate difficulty level and quantity according to the user's emotional state.

[0834] This invention is a system that allows factory workers to learn machine operation and new technologies in real time using smart glasses. The server creates personal identification information based on initial setup information provided by the user and presents optimized information according to the user's knowledge level and emotional state. Hardware devices such as smart glasses perform data analysis and emotion analysis and transmit this information to the server. The server processes the data using a programming language such as Python and retrieves relevant information via an information retrieval means. The retrieved information is optimized by an information adjustment means and presented in an appropriate format, taking into account the user's emotional state.

[0835] The system uses emotion analysis libraries, user profile management libraries, and information retrieval and optimization libraries to analyze user voice and facial expression data and provide users with the most relevant information. For example, a worker unfamiliar with new factory machinery can receive relevant information in real time through smart glasses and receive easy-to-understand explanations if anxiety is detected, thereby improving work safety and efficiency. An example of a prompt to the generative AI model is, "Analyze the user's emotions in the work environment and adjust the difficulty level of the information displayed in real time." In this way, the learning experience is optimized to match the user's emotions.

[0836] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0837] Step 1:

[0838] The user performs the initial setup. The terminal prompts the user for information about their expertise and experience, and sends this information to the profile creation system. Based on this input, the profile creation system creates baseline personal identification information for the user. The resulting profile is stored on the server and used for subsequent information provision.

[0839] Step 2:

[0840] The device collects environmental data in real time. Using the device's voice recognition function and camera, it collects audio data of the work environment and user facial expression data. This data is converted into emotion data by an emotion analysis system, identifying the user's current emotional state. The analysis results are sent to a server and used as input data for information optimization.

[0841] Step 3:

[0842] The server searches for and optimizes information. Based on the acquired emotional state and user profile, the server searches for relevant information from an external database through the information acquisition means. The information acquisition means gathers relevant specialized information and passes it to the information adjustment means. The information adjustment means takes the user's emotional state into consideration and appropriately adjusts the difficulty level and display format of the information to generate optimized information.

[0843] Step 4:

[0844] The device presents information to the user. Optimized information is sent to the device by the server and displayed in real time on the user's smart glasses. The user can proceed with their work safely and efficiently while checking this information. Because the information is presented in a user-friendly format, learning efficiency is improved.

[0845] Step 5:

[0846] Users provide feedback. Users input their opinions and impressions of the presented information into their devices, and the feedback collected by the feedback collection mechanism is sent to the server. This data is analyzed by the system improvement mechanism and serves as basic data for improving the information provided and how it is presented in the future.

[0847] Step 6:

[0848] The server improves the system. Based on collected feedback and sentiment data, the server generates scenarios to improve how and what information is presented. This will further optimize the next information presentation for the user. This process is continuous, aiming to improve the user's learning experience.

[0849] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0850] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include those described above. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions shown by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0851] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0852] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0853] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0854] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0855] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0856] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0857] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0858] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0859] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0860] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0861] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0862] 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.

[0863] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0864] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0865] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0866] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0867] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0868] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0869] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0870] The following is further disclosed regarding the embodiments described above.

[0871] (Claim 1)

[0872] A means for users to input information for initial setup,

[0873] A profile creation means for creating a profile based on user input information,

[0874] Data analysis means for analyzing information,

[0875] Information retrieval means for searching for related information,

[0876] Information optimization means for optimizing search results,

[0877] Information presentation means for displaying optimized information,

[0878] A means of collecting feedback,

[0879] System improvement means for improving the system based on collected feedback,

[0880] A system that includes this.

[0881] (Claim 2)

[0882] The system according to claim 1, wherein the profile creation means dynamically updates the profile based on the user's initial settings information in order to optimize the information presented according to the user's knowledge level and skills.

[0883] (Claim 3)

[0884] The system according to claim 1, wherein the information presentation means learns the next information presentation method based on user feedback.

[0885] "Example 1"

[0886] (Claim 1)

[0887] A means for users to input information to set standards,

[0888] A means for creating user data based on user input data,

[0889] An analysis method for instantly analyzing audio and text information,

[0890] Information retrieval means for searching for relevant information using external information sources,

[0891] Information generation means for generating optimized information based on user data,

[0892] Information display means for displaying optimization information on a display device,

[0893] A means of collecting opinions from users,

[0894] A generation method for improving information generation techniques based on user feedback,

[0895] A system that includes this.

[0896] (Claim 2)

[0897] The system according to claim 1, wherein the user data creation means dynamically updates user data based on the user's standard setting data in order to optimize the information provided according to the user's knowledge and skills.

[0898] (Claim 3)

[0899] The system according to claim 1, wherein the information display means learns and improves the next information display method based on user feedback.

[0900] "Application Example 1"

[0901] (Claim 1)

[0902] A means for users to input information for initial setup,

[0903] A means for creating a profile to create features based on user input information,

[0904] Data analysis means for analyzing information,

[0905] Information retrieval means for searching for related information,

[0906] Information optimization means for optimizing search results,

[0907] Information presentation means for displaying optimized information,

[0908] A means of collecting feedback,

[0909] A system improvement means for improving the structure based on collected feedback,

[0910] A means for linking a display device to present information via a display device worn by a worker,

[0911] An input data acquisition means for recognizing the worker's voice or input actions and obtaining information,

[0912] A system that includes this.

[0913] (Claim 2)

[0914] The system according to claim 1, wherein the profile creation means dynamically updates the profile based on the user's initial settings information in order to optimize the information presented according to the user's knowledge level and abilities.

[0915] (Claim 3)

[0916] The system according to claim 1, wherein the information presentation means learns the next information presentation method based on user feedback.

[0917] "Example 2 of combining an emotion engine"

[0918] (Claim 1)

[0919] A means for users to input information for initial setup,

[0920] A means for creating characteristic information based on user input information,

[0921] Information analysis tools for analyzing audio and text and extracting specialized terminology,

[0922] A means for collecting emotional data by analyzing user expressions and voice tones,

[0923] Information retrieval means for searching for specific information,

[0924] Information optimization means for optimizing information based on search results and user sentiment,

[0925] Information presentation means for presenting optimized information,

[0926] A means of collecting evaluations from users,

[0927] System improvement means for improving the system based on collected evaluation and sentiment data,

[0928] A system that includes this.

[0929] (Claim 2)

[0930] The system according to claim 1, wherein the profile creation means dynamically updates characteristic information based on the user's initial settings and optimizes the information presented according to the user's knowledge level, skills, and emotional state.

[0931] (Claim 3)

[0932] The system according to claim 1, wherein the information presentation means learns and adjusts the next information presentation method based on user evaluation and sentiment data.

[0933] "Application example 2 when combining with an emotional engine"

[0934] (Claim 1)

[0935] A means for users to input information for initial setup,

[0936] A means for creating a profile to create personally identifiable information based on user input information,

[0937] Data analysis means for analyzing information,

[0938] A means of obtaining information for searching for related information,

[0939] Information adjustment means for optimizing the acquired results,

[0940] Information presentation means for presenting adjusted information,

[0941] A means of collecting opinions to gather feedback,

[0942] System improvement means for improving the system based on collected feedback,

[0943] A means for sensing the user's emotional state and analyzing emotional data,

[0944] Information emotion adjustment means for optimizing information according to emotional state,

[0945] A system that includes this.

[0946] (Claim 2)

[0947] The system according to claim 1, wherein the profile creation means dynamically updates personal identification information based on the user's initial settings information and optimizes the information taking into account the user's emotional state in order to optimize the information presented according to the user's knowledge level and skills.

[0948] (Claim 3)

[0949] The system according to claim 1, wherein the information presentation means learns the next method of presenting information based on user feedback and emotional state. [Explanation of Symbols]

[0950] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for users to input information for initial setup, A profile creation means for creating a profile based on user input information, Data analysis means for analyzing information, Information retrieval means for searching for related information, Information optimization means for optimizing search results, Information presentation means for displaying optimized information, A means of collecting feedback for gathering feedback, System improvement means for improving the system based on collected feedback, A system that includes this.

2. The system according to claim 1, wherein the profile creation means dynamically updates the profile based on the user's initial settings information in order to optimize the information presented according to the user's knowledge level and skills.

3. The system according to claim 1, wherein the information presentation means learns the next information presentation method based on user feedback.

Images