system

Abstract

We provide the system. [Solution] A means of registering user characteristics via a user terminal into which ability information is entered, A method for analyzing the user's weaknesses using generative artificial intelligence and providing optimal complementary solutions, A means of comparing the characteristics of users with the requirements of an organization to determine appropriate suitability, A means for notifying the user terminal of the aforementioned suitability result and displaying appropriate occupational information, A system that includes this.

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, and includes steps of 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 that responds 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] Disabled people, especially those with autism spectrum disorder, often have limited employment opportunities due to their weak points despite having special abilities. In addition, companies often lack knowledge and resources in utilizing diverse talents, and as a result, the economic independence and social inclusion of disabled people do not progress. It is an issue to improve such a situation and provide an environment where disabled people can work while leveraging their areas of expertise.

Means for Solving the Problems

[0005] This invention provides a system that includes a user terminal for registering user ability information and a function that uses generative artificial intelligence to analyze the user's weaknesses and provide optimal compensatory measures. Furthermore, by comparing the user's characteristics with the organization's requirements and determining appropriate suitability, it enables the user to select the optimal work environment. In addition, it supports communication by summarizing information in real time during meetings and conveying it to the user terminal. This system enables people with disabilities to achieve flexible working arrangements and promotes the utilization of diverse talent within companies.

[0006] "Ability information" refers to information that indicates a user's unique skills and areas of expertise.

[0007] A "user terminal" is an electronic device used by users to input their own information and interact with the system.

[0008] "Generative artificial intelligence" is a technology that analyzes user input information and generates appropriate means to compensate for the user's weaknesses.

[0009] "Complementary measures" are tools and methods designed to support users in areas where they struggle and to maximize their abilities.

[0010] "Determining suitability" is the process of comparing the characteristics of the user with the requirements of the organization and selecting the optimal way of working.

[0011] "Remote work" refers to a work style performed from a location away from the physical company office.

[0012] "Business efficiency" refers to the ability to achieve results by making the most of limited time and resources.

[0013] "Summarizing information during a meeting" is the process of organizing the key points during the meeting and presenting them to the participants in an easy-to-understand format. [Brief explanation of the drawing]

[0014] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It 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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It 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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It 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] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an 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 an emotion engine is combined.

Embodiments for Carrying Out the Invention

[0015] An example of an embodiment of the system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0016] First, the terms used in the following description will be explained.

[0017] In the following embodiments, the labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0018] In the following embodiments, the labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0019] In the following embodiments, the labeled 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, etc.

[0020] 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).

[0021] 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."

[0022] [First Embodiment]

[0023] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0024] 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.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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.

[0030] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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".

[0035] This invention relates to a platform system that provides a work environment that maximizes the unique abilities of people with disabilities while compensating for their weaknesses. The system aims to provide the optimal work style based on the needs of companies and organizations by inputting user ability information. The main elements of the system are described below.

[0036] 1. Profile registration function

[0037] Users input their strengths and weaknesses into the system via a user terminal. The user terminal is designed to organize individual ability information and allow for easy input through its user interface.

[0038] 2. Data Management and Analysis

[0039] The server stores the user's profile in a database and performs analysis using generative artificial intelligence. The analysis engine identifies the most suitable tasks based on the user's strengths and suggests complementary methods to address areas where they struggle. For example, if a user has difficulty managing their time, the server will recommend a schedule management tool.

[0040] 3. Matching function

[0041] The server uses the analysis results to match user characteristics with company requirements and determine the best fit. This allows users to find workplaces and tasks that are a good match for them. For example, a user with excellent design skills might be matched with a company seeking creative projects.

[0042] 4. Remote support tools

[0043] The device provides users with multiple support tools when working remotely. These include a task management app based on profile analysis and an automatic summarization function to facilitate communication. By utilizing these tools, users can perform their work efficiently regardless of distance.

[0044] As a concrete example, let's assume a user excels at concentration in the field of software testing but struggles with multitasking. This user enters these characteristics during profile registration and undergoes AI analysis to receive suggestions for optimized task management tools. Furthermore, the user is appropriately matched with relevant companies and can progress through their work while receiving regular feedback. This remote support allows each user to dynamically improve their work style and achieve financial independence.

[0045] Thus, the present invention aims to support individuals with diverse disabilities in achieving independent work styles and to enhance inclusivity in society as a whole.

[0046] The following describes the processing flow.

[0047] Step 1:

[0048] Users enter profile information using their own devices. Specifically, they describe their strengths (e.g., design skills and analytical skills) and weaknesses (e.g., time management and communication) in the input form.

[0049] Step 2:

[0050] The device sends the entered profile information to the server. The transmitted data is securely transferred to the server using encryption technology.

[0051] Step 3:

[0052] The server saves the received profile information to a database. This saving process ensures data integrity while efficiently managing the database.

[0053] Step 4:

[0054] The server provides the stored profile information to the analysis engine. The analysis engine uses generative artificial intelligence to identify the user's strengths and recommend appropriate tools and methods to compensate for their weaknesses.

[0055] Step 5:

[0056] Based on the analysis results, the server collects data on companies that may be a good match for the user. It retrieves the skill requirements and job descriptions offered by the companies from the database and compares them with the user's characteristics.

[0057] Step 6:

[0058] The server uses the matching results to generate appropriate matching information and notifies the user. In this process, a matching algorithm is used to select the most suitable workplace or job for the user.

[0059] Step 7:

[0060] The terminal displays matching information from the server to the user. The user can use this information to select a workplace and request additional information if necessary.

[0061] Step 8:

[0062] Users launch remote assistance tools using their devices. These include profile-based task management apps and communication assistance tools.

[0063] Step 9:

[0064] The server collects user work progress data via remote support tools and sends feedback as needed. This creates an environment where users can maintain work efficiency and continuously improve themselves.

[0065] (Example 1)

[0066] 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."

[0067] There is a lack of platforms that allow users with diverse characteristics to maximize their abilities, efficiently compensate for their weaknesses, and find the optimal work environment. In particular, the lack of appropriate job matching and support for remote work are major obstacles.

[0068] 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.

[0069] In this invention, the server includes means for registering the user's abilities via means for inputting characteristic information, means for analyzing the user's areas of weakness using a generative analysis device and providing optimal support means, and means for matching the user's abilities with the organization's required characteristics and determining an appropriate match. This enables the user to find an optimal work environment based on their own characteristics and perform their duties efficiently.

[0070] "Characteristic information" refers to information about the user's abilities, skills, and areas of weakness.

[0071] "Means of use" refers to the devices or interfaces that users use to input or receive information.

[0072] A "generative analysis device" is a device that performs generative analysis based on input data to derive appropriate suggestions and conclusions.

[0073] "Areas of weakness" refers to skills or characteristics that a user struggles with.

[0074] "Supportive measures" refer to methods and tools that complement the user's areas of weakness and assist in performing tasks.

[0075] "Required characteristics of an organization" refers to the skills and abilities that a company or organization seeks.

[0076] "Determining a match" means comparing the characteristics of the users with the requirements of the organization and evaluating the optimal fit.

[0077] A "remote support tool" is software or an application designed to assist users in performing their work remotely or in a virtual environment.

[0078] This platform system is designed to help users with diverse characteristics find the work environment best suited to them. Specifically, user terminals, servers, and generative AI models function as key components.

[0079] User terminal:

[0080] The user uses a terminal to input characteristic information. This terminal features a user-friendly interface and includes functions to organize and format the input data, ensuring data consistency and accuracy. After data entry, the terminal encrypts the information and sends it to the server.

[0081] server:

[0082] The server stores the received characteristic information in a database and then analyzes the data using a generative AI model. This AI model employs advanced machine learning algorithms to derive the optimal support measures for areas where the user is weak. It also matches the user's characteristics with the organization's requirements to determine the best job match.

[0083] For example, if a user registers information indicating they are "good at project management" but "not good at time management," the server analyzes this data and suggests software to assist the user with schedule management.

[0084] An example of a prompt message might be, "Please suggest a schedule management tool based on the user's characteristic data."

[0085] Remote support tools:

[0086] Based on the server analysis results, the terminal provides the user with remote support tools. These tools are customized according to the user's profile and include task management applications and communication support functions. Users can use these tools to effectively perform their tasks regardless of distance.

[0087] In this way, the invention enables users with diverse characteristics to make the most of their own strengths, efficiently compensate for their weaknesses, and support them in finding the optimal work environment.

[0088] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0089] Step 1:

[0090] Users input characteristic information using their user terminal. Specifically, they record information about their strengths and weaknesses, and their desired work environment. In this process, the terminal formats and validates the input data to ensure consistency and accuracy. The input data is formatted and sent to the server in an encrypted format.

[0091] Step 2:

[0092] The server stores characteristic information received from user terminals in a database. Backup processing is performed on the stored data to ensure information security. Following this, an index is created to enable efficient data retrieval.

[0093] Step 3:

[0094] The server analyzes the received characteristic information using a generative AI model. The analysis utilizes data mining and machine learning algorithms to analyze user characteristics in detail. Specifically, it identifies the user's areas of weakness and proposes appropriate support measures. This analysis result is generated as intermediate data.

[0095] Step 4:

[0096] The server uses intermediate data to match user characteristics with company requirements. This process utilizes text matching technology to identify the most suitable occupation. The results based on the analysis are output as specific occupational information.

[0097] Step 5:

[0098] The terminal receives results from the server and provides detailed feedback to the user. The terminal notifies the user of suitable career information and displays it in an easy-to-understand visual format. This includes real-time updates using notification features.

[0099] Step 6:

[0100] The terminal provides users with customized remote support tools based on the server's analysis results. These include task management apps and communication tools, optimized for the user's profile. Users utilize these tools to perform their tasks efficiently.

[0101] (Application Example 1)

[0102] 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."

[0103] The challenge is to provide a work system that enables workers with disabilities to engage in their work while making the most of their unique abilities and effectively compensating for their weaknesses. In particular, it is necessary to create an environment where they can perform their work efficiently even remotely by receiving work instructions and feedback in real time using information display devices.

[0104] 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.

[0105] In this invention, the server includes means for registering the user's characteristics via a user terminal into which ability information is input, means for analyzing the user's weaknesses using generative artificial intelligence and providing optimal compensatory means, and means for providing real-time instructions and feedback using an information display device worn by the worker. This enables workers with disabilities to efficiently perform their duties by leveraging their strengths and compensating for their weaknesses.

[0106] "Ability information" refers to information that includes the user's characteristics, skills, and areas of weakness, and is used to clarify an individual's characteristics.

[0107] A "user terminal" is a device operated by a user to input ability information and confirm work instructions, and it enables the transmission and reception of information through a user interface.

[0108] "Generative artificial intelligence" is a type of artificial intelligence that analyzes input data and uses it to provide optimal complementary solutions tailored to the user's characteristics.

[0109] "Worker" refers to a user who wears an information display device and performs tasks while receiving real-time instructions and feedback.

[0110] An "information display device" is a device that, when worn by a worker, has the function of providing instructions and feedback in real time.

[0111] To implement this invention, the entire system is configured to maximize the strengths of each worker while compensating for their weaknesses. First, the server uses "generative artificial intelligence" to analyze "capability information" input from each user terminal. Through this analysis, the characteristics of the users are matched with the requirements of the organization to achieve the optimal match.

[0112] The user terminal allows workers to receive instructions and feedback in real time by wearing an "information display device." This information display device is expected to be implemented as smart glasses or an AR device, providing work instructions and visualization of task progress. The built-in analysis engine adjusts the work content according to the worker's strengths and weaknesses.

[0113] The hardware used includes smart devices and information display devices, and the software will utilize the Python library scikit-learn. The specific data processing involves "extracting user skills and performing task matching based on those skills."

[0114] As a concrete example, in a manufacturing line where concentration is required on a specific process, a task is proposed that is designed to allow workers who are skilled at that task to maximize their concentration. This process enables workers to adapt flexibly based on their individual characteristics and improve work efficiency.

[0115] Example prompt: "User skills: 'Concentration, Fine motor skills, Assembly' User challenge: 'Communication' Calculate the best matching task based on the provided task database."

[0116] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0117] Step 1:

[0118] Users input their "ability information" using their user terminal. This information includes the user's strengths and weaknesses. This data is temporarily stored on the user terminal.

[0119] Step 2:

[0120] The server receives "ability information" transmitted from the user's terminal. Based on the received data, it uses a generative AI model to analyze the user's weaknesses. This analysis constructs a skill matrix to identify what kind of supplementary methods the user needs.

[0121] Step 3:

[0122] The server matches the analysis results with the organization's requirements. During this process, machine learning algorithms (e.g., k-NN) are used to find the tasks and roles best suited to the user's characteristics. This process also references the organization's database to select entries with high relevance.

[0123] Step 4:

[0124] The server sends the matching results to the user's terminal. The user's terminal displays the most suitable job information or tasks to the user in real time. This allows the user to receive work suggestions that align with their areas of expertise.

[0125] Step 5:

[0126] Users wear information display devices (such as smart glasses) to receive instructions and feedback in real time at the work site. The information display devices receive instructions from a server and visually present work procedures and points to note. This enables users to perform tasks efficiently and accurately.

[0127] 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.

[0128] This invention relates to a system that provides a more effective work environment by leveraging the unique abilities of people with disabilities, compensating for their weaknesses, and further combining this with emotion recognition capabilities. This system uses an emotion engine to analyze the user's emotions, with the aim of improving work efficiency and supporting their mental health.

[0129] 1. Profile and emotion information registration function

[0130] Users input information about their strengths, weaknesses, and emotional states through their user terminal. The user terminal is equipped with sensors and interfaces for recording emotional states in real time and is designed to allow users to provide information in the most natural way possible.

[0131] 2. Data Management and Sentiment Analysis

[0132] The server stores profile information and emotional data transmitted from the user's terminal in a database. Generative artificial intelligence uses this data to analyze it, identify the user's strengths, and simultaneously suggest appropriate support measures based on their emotional state. For example, it can provide actions tailored to the individual's condition, such as recommending a short, relaxing break when feeling stressed.

[0133] 3. Matching and Feedback Function

[0134] The server performs matching while also considering the user's emotional state. It incorporates a mechanism to scrutinize whether the company culture and work environment are a good fit for the user, in addition to the skills the company requires. This ensures that the user's psychological and emotional adaptation is given maximum consideration.

[0135] 4. Remote support and emotional monitoring

[0136] The device provides tools to support remote work and monitors emotions in real time, offering users advice and feedback as needed. For example, if the emotion engine determines that the user's stress level is high, the device will suggest ways to refresh themselves and present plans to reduce their workload. In this way, a system is built that comprehensively supports the user's work performance and mental health.

[0137] As a concrete example, let's assume a user possesses design skills but struggles with communication. If this user feels nervous during a project presentation, the emotion engine detects this sign and synchronizes with the server to provide appropriate feedback. As a result, the user can feel more at ease and more confident in showcasing their skills. This system provides an environment where people with disabilities can work more flexibly and healthily, supporting their participation in society.

[0138] The following describes the processing flow.

[0139] Step 1:

[0140] Users input their strengths, weaknesses, and current emotional state through their user device. Emotional states are recorded in real time by sensors and interfaces built into the device.

[0141] Step 2:

[0142] The device sends profile information and sentiment data to the server. The data is encrypted using appropriate security protocols before being sent to the server.

[0143] Step 3:

[0144] The server stores the received profile information and sentiment data in a database. During storage, the data is indexed to allow for quick access during subsequent analysis.

[0145] Step 4:

[0146] The server uses generative artificial intelligence to analyze the user's profile information and emotional state. The analysis engine identifies strengths and weaknesses, and calculates appropriate compensatory measures based on emotions.

[0147] Step 5:

[0148] Based on the analysis results, the server identifies support measures to suggest more efficient ways of working to the user. For example, if emotional data indicates that the user is experiencing stress, it will suggest stress reduction measures.

[0149] Step 6:

[0150] The server uses the analysis results to match users with companies that best suit their characteristics. In this process, it considers not only the characteristics the company seeks, but also whether the company culture is suitable for the user's personality and emotional state.

[0151] Step 7:

[0152] The server notifies the user's terminal of the matching results. The user then reviews the recommended occupation information and company details via their terminal and compares and considers the options.

[0153] Step 8:

[0154] The device monitors the user's emotions in real time while they are working remotely and applies tools accordingly. Based on the monitoring results, it provides the user with necessary feedback and advice.

[0155] Step 9:

[0156] Users optimize their work efficiency and mental state using supplementary tools and feedback received through their devices. This makes it possible to create a sustainable and healthy work environment.

[0157] (Example 2)

[0158] 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".

[0159] In today's workplace environment, efficient job matching and support that takes into account individual characteristics and emotional states are required, but conventional systems do not adequately consider these factors. In particular, people with disabilities and those requiring special support face the challenge of finding an environment that utilizes their skills and characteristics.

[0160] 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.

[0161] In this invention, the server includes means for registering individual characteristics via a device for inputting functional information and emotional data; means for analyzing individual states using a generative AI model and providing optimal support measures; and means for comparing individual characteristics with group requirements and determining appropriate matches. This enables effective job matching and improved work efficiency based on individual characteristics and emotional states.

[0162] "Functional information" refers to information about the user's strengths and technical abilities.

[0163] "Emotional data" refers to data that shows the user's psychological state and changes in their emotions.

[0164] A "generative AI model" is a model that uses artificial intelligence to analyze data and generate specific patterns or suggestions.

[0165] A "device" is a device used by users to input and send and receive information.

[0166] "Characteristics" refer to individual characteristics of each user, including their abilities, skills, and emotional state.

[0167] "Remote work" refers to a work style in which tasks are performed remotely.

[0168] "Support technologies for improving efficiency" refer to technologies and tools provided to improve work efficiency and business results.

[0169] The system of the present invention aims to analyze the characteristics and emotional state of users, including people with disabilities, and to provide optimal support. The following describes embodiments for carrying out the invention.

[0170] 1. User input

[0171] Users input their functional information and emotional data using the device. The device is equipped with biosensors and interfaces to record the user's emotional state in real time. Therefore, users can input data such as heart rate and changes in facial expression in a natural state.

[0172] 2. Data transmission and storage

[0173] The terminal transmits the entered information to the server using a secure protocol. The server stores this data in a database and manages it in association with user-specific identification information. This ensures that user information is stored safely and accurately.

[0174] 3. Information Analysis and Proposal

[0175] The server analyzes data using a generative AI model. The generative AI model analyzes the user's emotional state and characteristic data, and makes appropriate suggestions based on the results. For example, it can suggest taking a break to a user who is feeling stressed.

[0176] 4. Matching and compatibility check

[0177] The server compares the user's functional information with the group's requirements to find a suitable match. If a match is found, the result is notified to the user's terminal, and relevant occupational information is displayed. This allows the user to find a work environment that suits them.

[0178] Examples of specific cases and prompt statements

[0179] As a concrete example, consider a user with design skills but poor communication skills who experiences anxiety during a presentation. The emotion engine can detect signs of anxiety, synchronize with the server, and suggest short breaks or breathing exercises for relaxation.

[0180] An example of a prompt message is something like, "How can I leverage my design skills while also reducing nervousness during presentations?" This is the kind of input that users are expected to provide.

[0181] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0182] Step 1:

[0183] Users input their functional information and emotional data through the device. Sensors built into the device detect heart rate and changes in facial expression in real time and collect this data as emotional data. The input information is stored on the device as data indicating the user's skills and current emotional state.

[0184] Step 2:

[0185] The terminal transmits the collected data to the server based on a secure communication protocol. The transmitted information is stored in the server's database and stored identified for each individual user. During this process, the accuracy and confidentiality of the data are verified, and it is stored in an appropriate format.

[0186] Step 3:

[0187] The server analyzes user data stored in the database using a generative AI model. Based on emotional data and skill information, the generative AI model recognizes patterns in the user's state and generates appropriate suggestions. For example, if this analysis determines that the user is experiencing stress, a logic will be activated suggesting a break.

[0188] Step 4:

[0189] The server generates suggestions and feedback based on the analysis results and sends notifications to the user's device. These notifications include actions the user should take according to their current emotional state. As output, the user receives information on suggested relaxation methods and adjustments to tasks to be performed.

[0190] Step 5:

[0191] The user's device provides necessary functions based on suggestions received from the server. For example, if the user indicates a high stress level, the device will launch a guided breathing exercise app. The user can also view and implement suggested rest and refreshment methods on the device.

[0192] This series of processes enables users to perform tasks efficiently in a way that suits their own characteristics and emotional state.

[0193] (Application Example 2)

[0194] 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".

[0195] There is a need to provide support systems that enable diverse workers, including people with disabilities, to work while making the most of their unique abilities and reducing emotional burdens in different environments and situations. In particular, there is a lack of mechanisms that can receive real-time emotional feedback and automatically adjust work accordingly, which is a significant challenge in current work environments.

[0196] 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.

[0197] In this invention, the server includes means for registering the user's characteristics via a user terminal into which ability information is input; means for analyzing the user's weaknesses using generative artificial intelligence and providing optimal complementary means; and means for comparing the user's characteristics with the organization's requirements and determining appropriate suitability. This makes it possible to provide visual feedback and real-time emotional support using smart devices and to adjust work tasks while considering the user's emotional state.

[0198] "Ability information" refers to data about a user's skills and characteristics, including their weaknesses and strengths.

[0199] A "user terminal" is a device used by users to register and monitor their own characteristics and emotional information, and includes smartphones and smart glasses.

[0200] "Generative artificial intelligence" is an artificial intelligence technology that analyzes input data and proposes the most suitable complementary methods and support for the user.

[0201] A "smart device" refers to a high-performance device that can share information and provide feedback in real time via an internet connection. Specifically, this includes smart glasses and head-mounted displays.

[0202] "Visual feedback" is a means of providing information to users by presenting them with visual information, which helps them understand the situation and regulate their emotions.

[0203] "Real-time emotional support" refers to support activities that analyze a user's emotional state in real time and immediately provide advice and adjustments tailored to that state.

[0204] The system implementing this invention aims to support people with disabilities and various workers in making the most of their unique abilities and performing tasks efficiently while reducing emotional burden. This system mainly consists of a server, user terminals, and smart devices.

[0205] The server receives ability information and emotional data sent from the user's terminal and stores it in a database. The generative artificial intelligence used analyzes this data and has a mechanism to provide the user with the most suitable supplementary means. Specifically, based on the analyzed emotional information, it suggests refreshing activities if the user is feeling stressed. It can also compare the user's characteristics with the organization's requirements and provide appropriate occupational information.

[0206] The user terminal provides visual feedback using smart devices such as smart glasses and head-mounted displays. This allows users to intuitively understand changes in their work environment and their own emotional state. It enables real-time emotional support and provides immediate advice to the user.

[0207] As a concrete example, consider a situation where a user working on a factory production line feels anxious. In this case, the smart device visually displays a message saying "Please relax," and the robot adjusts its work pace. This allows the user to regain their composure and continue working at their own pace.

[0208] An example of a prompt message would be: "If you feel stressed while working, analyze your emotional data and provide you with relaxing feedback. As a specific example, display a visual message showing simple breathing techniques for relaxation."

[0209] This system enables data analysis and immediate feedback by linking the server, user terminals, and smart devices, effectively supporting users' work efficiency and mental well-being.

[0210] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0211] Step 1:

[0212] The server receives ability information and emotional data transmitted from the user's terminal. This input data is stored in a database in preparation for subsequent processing. At this stage, information about the user's characteristics and emotional state is provided as input and stored.

[0213] Step 2:

[0214] The server uses generative artificial intelligence to analyze capability information in the database. In particular, it performs data analysis to identify the user's strengths and weaknesses. It receives capability information as input, identifies complementary methods tailored to the user's characteristics based on this analysis, and generates appropriate support methods as output.

[0215] Step 3:

[0216] The server uses the analyzed information to compare the user's characteristics with the organization's requirements. The data calculation performed here numerically evaluates the compatibility between the user's and the organization's characteristics and selects appropriate occupational information. The selected occupational information is then passed as output to step 4.

[0217] Step 4:

[0218] The device displays visual feedback based on occupational information and emotional indicators provided by the server. The user checks their own emotional state and occupational suitability information through smart glasses. At this stage, the output information from the server is used as input and presented to the user visually.

[0219] Step 5:

[0220] Users receive visual feedback and use it to make self-adjustments during their actual work. For example, when feeling anxious, they may receive relaxation suggestions from the device and practice breathing exercises to achieve mental stability. This allows them to perform their work while controlling their emotional state.

[0221] This series of processing steps allows users to maximize their unique abilities while reducing emotional burden and performing at their best in an optimized work environment.

[0222] 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.

[0223] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0224] 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.

[0225] [Second Embodiment]

[0226] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0227] 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.

[0228] 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).

[0229] 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.

[0230] 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.

[0231] 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).

[0232] 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.

[0233] 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.

[0234] 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.

[0235] 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.

[0236] 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.

[0237] 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".

[0238] This invention relates to a platform system that provides a work environment that maximizes the unique abilities of people with disabilities while compensating for their weaknesses. The system aims to provide the optimal work style based on the needs of companies and organizations by inputting user ability information. The main elements of the system are described below.

[0239] 1. Profile registration function

[0240] Users input their strengths and weaknesses into the system via a user terminal. The user terminal is designed to organize individual ability information and allow for easy input through its user interface.

[0241] 2. Data Management and Analysis

[0242] The server stores the user's profile in a database and performs analysis using generative artificial intelligence. The analysis engine identifies the most suitable tasks based on the user's strengths and suggests complementary methods to address areas where they struggle. For example, if a user has difficulty managing their time, the server will recommend a schedule management tool.

[0243] 3. Matching function

[0244] The server uses the analysis results to match user characteristics with company requirements and determine the best fit. This allows users to find workplaces and tasks that are a good match for them. For example, a user with excellent design skills might be matched with a company seeking creative projects.

[0245] 4. Remote support tools

[0246] The device provides users with multiple support tools when working remotely. These include a task management app based on profile analysis and an automatic summarization function to facilitate communication. By utilizing these tools, users can perform their work efficiently regardless of distance.

[0247] As a concrete example, let's assume a user excels at concentration in the field of software testing but struggles with multitasking. This user enters these characteristics during profile registration and undergoes AI analysis to receive suggestions for optimized task management tools. Furthermore, the user is appropriately matched with relevant companies and can progress through their work while receiving regular feedback. This remote support allows each user to dynamically improve their work style and achieve financial independence.

[0248] Thus, the present invention aims to support individuals with diverse disabilities in achieving independent work styles and to enhance inclusivity in society as a whole.

[0249] The following describes the processing flow.

[0250] Step 1:

[0251] Users enter profile information using their own devices. Specifically, they describe their strengths (e.g., design skills and analytical skills) and weaknesses (e.g., time management and communication) in the input form.

[0252] Step 2:

[0253] The device sends the entered profile information to the server. The transmitted data is securely transferred to the server using encryption technology.

[0254] Step 3:

[0255] The server saves the received profile information to a database. This saving process ensures data integrity while efficiently managing the database.

[0256] Step 4:

[0257] The server provides the stored profile information to the analysis engine. The analysis engine uses generative artificial intelligence to identify the user's strengths and recommend appropriate tools and methods to compensate for their weaknesses.

[0258] Step 5:

[0259] Based on the analysis results, the server collects data on companies that may be a good match for the user. It retrieves the skill requirements and job descriptions offered by the companies from the database and compares them with the user's characteristics.

[0260] Step 6:

[0261] The server uses the matching results to generate appropriate matching information and notifies the user. In this process, a matching algorithm is used to select the most suitable workplace or job for the user.

[0262] Step 7:

[0263] The terminal displays matching information from the server to the user. The user can use this information to select a workplace and request additional information if necessary.

[0264] Step 8:

[0265] Users launch remote assistance tools using their devices. These include profile-based task management apps and communication assistance tools.

[0266] Step 9:

[0267] The server collects user work progress data via remote support tools and sends feedback as needed. This creates an environment where users can maintain work efficiency and continuously improve themselves.

[0268] (Example 1)

[0269] 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."

[0270] There is a lack of platforms that allow users with diverse characteristics to maximize their abilities, efficiently compensate for their weaknesses, and find the optimal work environment. In particular, the lack of appropriate job matching and support for remote work are major obstacles.

[0271] 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.

[0272] In this invention, the server includes means for registering the user's abilities via means for inputting characteristic information, means for analyzing the user's areas of weakness using a generative analysis device and providing optimal support means, and means for matching the user's abilities with the organization's required characteristics and determining an appropriate match. This enables the user to find an optimal work environment based on their own characteristics and perform their duties efficiently.

[0273] "Characteristic information" refers to information about the user's abilities, skills, and areas of weakness.

[0274] "Means of use" refers to the devices or interfaces that users use to input or receive information.

[0275] A "generative analysis device" is a device that performs generative analysis based on input data to derive appropriate suggestions and conclusions.

[0276] "Areas of weakness" refers to skills or characteristics that a user struggles with.

[0277] "Supportive measures" refer to methods and tools that complement the user's areas of weakness and assist in performing tasks.

[0278] "Required characteristics of an organization" refers to the skills and abilities that a company or organization seeks.

[0279] "To determine consistency" means comparing the characteristics of the user with the requirements of the group and evaluating the optimal compatibility.

[0280] "Remote support tool" refers to software or applications for supporting users' work performance in a remote or virtual environment.

[0281] This platform system is designed to assist users with diverse characteristics in finding the most suitable professional environment for themselves. Specifically, the user terminal, server, and generative AI model function as the main elements.

[0282] User terminal:

[0283] The user uses the terminal to input characteristic information. This terminal has a user-friendly interface and functions to organize and format the input data, thereby ensuring the consistency and accuracy of the data. After data input, the terminal encrypts the information and sends it to the server.

[0284] Server:

[0285] After saving the received characteristic information in the database, the server analyzes the data by leveraging the generative AI model. This AI model uses advanced machine learning algorithms to derive the optimal assistance means for the user's weak areas. It also collates the user's characteristics with the required characteristics of the group to determine the optimal career matching.

[0286] For example, when a user registers information such as being "good at project management" but "poor at time management", the server analyzes this data and proposes software to assist the user in schedule management.

[0287] An example of the prompt text could be "Please propose a schedule management tool based on the user's characteristic data".

[0288] Remote support tools:

[0289] Based on the server analysis results, the terminal provides the user with remote support tools. These tools are customized according to the user's profile and include task management applications and communication support functions. Users can use these tools to effectively perform their tasks regardless of distance.

[0290] In this way, the invention enables users with diverse characteristics to make the most of their own strengths, efficiently compensate for their weaknesses, and support them in finding the optimal work environment.

[0291] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0292] Step 1:

[0293] Users input characteristic information using their user terminal. Specifically, they record information about their strengths and weaknesses, and their desired work environment. In this process, the terminal formats and validates the input data to ensure consistency and accuracy. The input data is formatted and sent to the server in an encrypted format.

[0294] Step 2:

[0295] The server stores characteristic information received from user terminals in a database. Backup processing is performed on the stored data to ensure information security. Following this, an index is created to enable efficient data retrieval.

[0296] Step 3:

[0297] The server analyzes the received characteristic information using a generative AI model. The analysis utilizes data mining and machine learning algorithms to analyze user characteristics in detail. Specifically, it identifies the user's areas of weakness and proposes appropriate support measures. This analysis result is generated as intermediate data.

[0298] Step 4:

[0299] The server uses intermediate data to match user characteristics with company requirements. This process utilizes text matching technology to identify the most suitable occupation. The results based on the analysis are output as specific occupational information.

[0300] Step 5:

[0301] The terminal receives results from the server and provides detailed feedback to the user. The terminal notifies the user of suitable career information and displays it in an easy-to-understand visual format. This includes real-time updates using notification features.

[0302] Step 6:

[0303] The terminal provides users with customized remote support tools based on the server's analysis results. These include task management apps and communication tools, optimized for the user's profile. Users utilize these tools to perform their tasks efficiently.

[0304] (Application Example 1)

[0305] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0306] An object is to provide a work system that enables a disabled worker to engage in work while maximizing their unique abilities and effectively compensating for their weak points. In particular, it is required to create an environment where work can be efficiently carried out remotely by receiving work instructions and feedback in real time using an information presentation device.

[0307] 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.

[0308] In this invention, the server includes means for registering the characteristics of a user via a user terminal that inputs ability information, means for analyzing the user's weak points using a generative artificial intelligence and providing an optimal compensation means, and means for providing real-time instructions and feedback using an information presentation device worn by the worker. As a result, a disabled worker can effectively perform their work by leveraging their strengths and compensating for their weak work.

[0309] "Ability information" is information including the characteristics, skills, and weak points of a user, and is used to clarify the individual's characteristics.

[0310] A "user terminal" is a device operated by a user to input ability information and confirm work instructions, and enables the transmission and reception of information via a user interface.

[0311] A "generative artificial intelligence" is an artificial intelligence that performs analysis based on input data and is used to provide an optimal compensation means according to the characteristics of the user.

[0312] A "worker" refers to a user who wears an information presentation device and performs work while receiving real-time instructions and feedback.

[0313] An "information presentation device" is a device that has a function of providing instructions and feedback in real time when worn by a worker.

[0314] To implement this invention, the entire system is configured to maximize the strengths of each worker while compensating for their weaknesses. First, the server uses "generative artificial intelligence" to analyze "capability information" input from each user terminal. Through this analysis, the characteristics of the users are matched with the requirements of the organization to achieve the optimal match.

[0315] The user terminal allows workers to receive instructions and feedback in real time by wearing an "information display device." This information display device is expected to be implemented as smart glasses or an AR device, providing work instructions and visualization of task progress. The built-in analysis engine adjusts the work content according to the worker's strengths and weaknesses.

[0316] The hardware used includes smart devices and information display devices, and the software will utilize the Python library scikit-learn. The specific data processing involves "extracting user skills and performing task matching based on those skills."

[0317] As a concrete example, in a manufacturing line where concentration is required on a specific process, a task is proposed that is designed to allow workers who are skilled at that task to maximize their concentration. This process enables workers to adapt flexibly based on their individual characteristics and improve work efficiency.

[0318] Example prompt: "User skills: 'Concentration, detailed work, assembly' User challenge: 'Communication' Calculate the best matching task based on the provided task database."

[0319] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0320] Step 1:

[0321] Users input their "ability information" using their user terminal. This information includes the user's strengths and weaknesses. This data is temporarily stored on the user terminal.

[0322] Step 2:

[0323] The server receives "ability information" transmitted from the user's terminal. Based on the received data, it uses a generative AI model to analyze the user's weaknesses. This analysis constructs a skill matrix to identify what kind of supplementary methods the user needs.

[0324] Step 3:

[0325] The server matches the analysis results with the organization's requirements. During this process, machine learning algorithms (e.g., k-NN) are used to find the tasks and roles best suited to the user's characteristics. This process also references the organization's database to select entries with high relevance.

[0326] Step 4:

[0327] The server sends the matching results to the user's terminal. The user's terminal displays the most suitable job information or tasks to the user in real time. This allows the user to receive work suggestions that align with their areas of expertise.

[0328] Step 5:

[0329] Users wear information display devices (such as smart glasses) to receive instructions and feedback in real time at the work site. The information display devices receive instructions from a server and visually present work procedures and points to note. This enables users to perform tasks efficiently and accurately.

[0330] 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.

[0331] This invention relates to a system that provides a more effective work environment by leveraging the unique abilities of people with disabilities, compensating for their weaknesses, and further combining this with emotion recognition capabilities. This system uses an emotion engine to analyze the user's emotions, with the aim of improving work efficiency and supporting their mental health.

[0332] 1. Profile and emotion information registration function

[0333] Users input information about their strengths, weaknesses, and emotional states through their user terminal. The user terminal is equipped with sensors and interfaces for recording emotional states in real time and is designed to allow users to provide information in the most natural way possible.

[0334] 2. Data Management and Sentiment Analysis

[0335] The server stores profile information and emotional data transmitted from the user's terminal in a database. Generative artificial intelligence uses this data to analyze it, identify the user's strengths, and simultaneously suggest appropriate support measures based on their emotional state. For example, it can provide actions tailored to the individual's condition, such as recommending a short, relaxing break when feeling stressed.

[0336] 3. Matching and Feedback Function

[0337] The server performs matching while also considering the user's emotional state. It incorporates a mechanism to scrutinize whether the company culture and work environment are a good fit for the user, in addition to the skills the company requires. This ensures that the user's psychological and emotional adaptation is given maximum consideration.

[0338] 4. Remote support and emotional monitoring

[0339] The device provides tools to support remote work and monitors emotions in real time, offering users advice and feedback as needed. For example, if the emotion engine determines that the user's stress level is high, the device will suggest ways to refresh themselves and present plans to reduce their workload. In this way, a system is built that comprehensively supports the user's work performance and mental health.

[0340] As a concrete example, let's assume a user possesses design skills but struggles with communication. If this user feels nervous during a project presentation, the emotion engine detects this sign and synchronizes with the server to provide appropriate feedback. As a result, the user can feel more at ease and more confident in showcasing their skills. This system provides an environment where people with disabilities can work more flexibly and healthily, supporting their participation in society.

[0341] The following describes the processing flow.

[0342] Step 1:

[0343] Users input their strengths, weaknesses, and current emotional state through their user device. Emotional states are recorded in real time by sensors and interfaces built into the device.

[0344] Step 2:

[0345] The device sends profile information and sentiment data to the server. The data is encrypted using appropriate security protocols before being sent to the server.

[0346] Step 3:

[0347] The server stores the received profile information and sentiment data in a database. During storage, the data is indexed to allow for quick access during subsequent analysis.

[0348] Step 4:

[0349] The server uses generative artificial intelligence to analyze the user's profile information and emotional state. The analysis engine identifies strengths and weaknesses, and calculates appropriate compensatory measures based on emotions.

[0350] Step 5:

[0351] Based on the analysis results, the server identifies support measures to suggest more efficient ways of working to the user. For example, if emotional data indicates that the user is experiencing stress, it will suggest stress reduction measures.

[0352] Step 6:

[0353] The server uses the analysis results to match the user with the most suitable company based on their characteristics. In this process, it considers not only the characteristics the company seeks, but also whether the company culture is compatible with the user's personality and emotional state.

[0354] Step 7:

[0355] The server notifies the user's terminal of the matching results. The user then reviews the recommended occupation information and company details via their terminal and compares and considers the options.

[0356] Step 8:

[0357] The device monitors the user's emotions in real time while they are working remotely and applies tools accordingly. Based on the monitoring results, it provides the user with necessary feedback and advice.

[0358] Step 9:

[0359] Users optimize their work efficiency and mental state using supplementary tools and feedback received through their devices. This makes it possible to create a sustainable and healthy work environment.

[0360] (Example 2)

[0361] 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".

[0362] In today's workplace environment, efficient job matching and support that takes into account individual characteristics and emotional states are required, but conventional systems do not adequately consider these factors. In particular, people with disabilities and those requiring special support face the challenge of finding an environment that utilizes their skills and characteristics.

[0363] 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.

[0364] In this invention, the server includes means for registering individual characteristics via a device for inputting functional information and emotional data; means for analyzing individual states using a generative AI model and providing optimal support measures; and means for comparing individual characteristics with group requirements and determining appropriate matches. This enables effective job matching and improved work efficiency based on individual characteristics and emotional states.

[0365] "Functional information" refers to information about the user's strengths and technical abilities.

[0366] "Emotional data" refers to data that shows the user's psychological state and changes in their emotions.

[0367] A "generative AI model" is a model that uses artificial intelligence to analyze data and generate specific patterns or suggestions.

[0368] A "device" is a device used by users to input and send and receive information.

[0369] "Characteristics" refer to individual characteristics of each user, including their abilities, skills, and emotional state.

[0370] "Remote work" refers to a work style in which tasks are performed remotely.

[0371] "Support technologies for improving efficiency" refer to technologies and tools provided to improve work efficiency and business results.

[0372] The system of the present invention aims to analyze the characteristics and emotional state of users, including people with disabilities, and to provide optimal support. The following describes embodiments for carrying out the invention.

[0373] 1. User input

[0374] Users input their functional information and emotional data using the device. The device is equipped with biosensors and interfaces to record the user's emotional state in real time. Therefore, users can input data such as heart rate and changes in facial expression in a natural state.

[0375] 2. Data transmission and storage

[0376] The terminal transmits the entered information to the server using a secure protocol. The server stores this data in a database and manages it in association with user-specific identification information. This ensures that user information is stored safely and accurately.

[0377] 3. Information Analysis and Proposal

[0378] The server analyzes data using a generative AI model. The generative AI model analyzes the user's emotional state and characteristic data, and makes appropriate suggestions based on the results. For example, it can suggest taking a break to a user who is feeling stressed.

[0379] 4. Matching and compatibility check

[0380] The server compares the user's functional information with the group's requirements to find a suitable match. If a match is found, the result is notified to the user's terminal, and relevant occupational information is displayed. This allows the user to find a work environment that suits them.

[0381] Examples of specific cases and prompt statements

[0382] As a concrete example, consider a user with design skills but poor communication skills who experiences anxiety during a presentation. The emotion engine can detect signs of anxiety, synchronize with the server, and suggest short breaks or breathing exercises for relaxation.

[0383] An example of a prompt message is something like, "How can I leverage my design skills while also reducing nervousness during presentations?" This is the kind of input that users are expected to provide.

[0384] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0385] Step 1:

[0386] Users input their functional information and emotional data through the device. Sensors built into the device detect heart rate and changes in facial expression in real time and collect this data as emotional data. The input information is stored on the device as data indicating the user's skills and current emotional state.

[0387] Step 2:

[0388] The terminal transmits the collected data to the server based on a secure communication protocol. The transmitted information is stored in the server's database and stored identified for each individual user. During this process, the accuracy and confidentiality of the data are verified, and it is stored in an appropriate format.

[0389] Step 3:

[0390] The server analyzes user data stored in the database using a generative AI model. Based on emotional data and skill information, the generative AI model recognizes patterns in the user's state and generates appropriate suggestions. For example, if this analysis determines that the user is experiencing stress, a logic will be activated suggesting a break.

[0391] Step 4:

[0392] The server generates suggestions and feedback based on the analysis results and sends notifications to the user's device. These notifications include actions the user should take according to their current emotional state. As output, the user receives information on suggested relaxation methods and adjustments to tasks to be performed.

[0393] Step 5:

[0394] The user's device provides necessary functions based on suggestions received from the server. For example, if the user indicates a high stress level, the device will launch a guided breathing exercise app. The user can also view and implement suggested rest and refreshment methods on the device.

[0395] This series of processes enables users to perform tasks efficiently in a way that suits their own characteristics and emotional state.

[0396] (Application Example 2)

[0397] 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."

[0398] There is a need to provide support systems that enable diverse workers, including people with disabilities, to work while making the most of their unique abilities and reducing emotional burdens in different environments and situations. In particular, there is a lack of mechanisms that can receive real-time emotional feedback and automatically adjust work accordingly, which is a significant challenge in current work environments.

[0399] 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.

[0400] In this invention, the server includes means for registering the user's characteristics via a user terminal into which ability information is input; means for analyzing the user's weaknesses using generative artificial intelligence and providing optimal complementary means; and means for comparing the user's characteristics with the organization's requirements and determining appropriate suitability. This makes it possible to provide visual feedback and real-time emotional support using smart devices and to adjust work tasks while considering the user's emotional state.

[0401] "Ability information" refers to data about a user's skills and characteristics, including their weaknesses and strengths.

[0402] A "user terminal" is a device used by users to register and monitor their own characteristics and emotional information, and includes smartphones and smart glasses.

[0403] "Generative artificial intelligence" is an artificial intelligence technology that analyzes input data and proposes the most suitable complementary methods and support for the user.

[0404] A "smart device" refers to a high-performance device that can share information and provide feedback in real time via an internet connection. Specifically, this includes smart glasses and head-mounted displays.

[0405] "Visual feedback" is a means of providing information to users by presenting them with visual information, which helps them understand the situation and regulate their emotions.

[0406] "Real-time emotional support" refers to support activities that analyze a user's emotional state in real time and immediately provide advice and adjustments tailored to that state.

[0407] The system implementing this invention aims to support people with disabilities and various workers in making the most of their unique abilities and performing tasks efficiently while reducing emotional burden. This system mainly consists of a server, user terminals, and smart devices.

[0408] The server receives ability information and emotional data sent from the user's terminal and stores it in a database. The generative artificial intelligence used analyzes this data and has a mechanism to provide the user with the most suitable supplementary means. Specifically, based on the analyzed emotional information, it suggests refreshing activities if the user is feeling stressed. It can also compare the user's characteristics with the organization's requirements and provide appropriate occupational information.

[0409] The user terminal provides visual feedback using smart devices such as smart glasses and head-mounted displays. This allows users to intuitively understand changes in their work environment and their own emotional state. It enables real-time emotional support and provides immediate advice to the user.

[0410] As a concrete example, consider a situation where a user working on a factory production line feels anxious. In this case, the smart device visually displays a message saying "Please relax," and the robot adjusts its work pace. This allows the user to regain their composure and continue working at their own pace.

[0411] An example of a prompt message would be: "If you feel stressed while working, analyze your emotional data and provide you with relaxing feedback. As a specific example, display a visual message showing simple breathing techniques for relaxation."

[0412] This system enables data analysis and immediate feedback by linking the server, user terminals, and smart devices, effectively supporting users' work efficiency and mental well-being.

[0413] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0414] Step 1:

[0415] The server receives ability information and emotional data transmitted from the user's terminal. This input data is stored in a database in preparation for subsequent processing. At this stage, information about the user's characteristics and emotional state is provided as input and stored.

[0416] Step 2:

[0417] The server uses generative artificial intelligence to analyze capability information in the database. In particular, it performs data analysis to identify the user's strengths and weaknesses. It receives capability information as input, identifies complementary methods tailored to the user's characteristics based on this analysis, and generates appropriate support methods as output.

[0418] Step 3:

[0419] The server uses the analyzed information to compare the user's characteristics with the organization's requirements. The data calculation performed here numerically evaluates the compatibility between the user's and the organization's characteristics and selects appropriate occupational information. The selected occupational information is then passed as output to step 4.

[0420] Step 4:

[0421] The device displays visual feedback based on occupational information and emotional indicators provided by the server. The user checks their own emotional state and occupational suitability information through smart glasses. At this stage, the output information from the server is used as input and presented to the user visually.

[0422] Step 5:

[0423] Users receive visual feedback and use it to make self-adjustments during their actual work. For example, when feeling anxious, they may receive relaxation suggestions from the device and practice breathing exercises to achieve mental stability. This allows them to perform their work while controlling their emotional state.

[0424] This series of processing steps allows users to maximize their unique abilities while reducing emotional burden and performing at their best in an optimized work environment.

[0425] 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.

[0426] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0427] 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.

[0428] [Third Embodiment]

[0429] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0430] 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.

[0431] 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).

[0432] 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.

[0433] 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.

[0434] 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).

[0435] 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.

[0436] 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.

[0437] 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.

[0438] 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.

[0439] 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.

[0440] 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".

[0441] This invention relates to a platform system that provides a work environment that maximizes the unique abilities of people with disabilities while compensating for their weaknesses. The system aims to provide the optimal work style based on the needs of companies and organizations by inputting user ability information. The main elements of the system are described below.

[0442] 1. Profile registration function

[0443] Users input their strengths and weaknesses into the system via a user terminal. The user terminal is designed to organize individual ability information and allow for easy input through its user interface.

[0444] 2. Data Management and Analysis

[0445] The server stores the user's profile in a database and performs analysis using generative artificial intelligence. The analysis engine identifies the most suitable tasks based on the user's strengths and suggests complementary methods to address areas where they struggle. For example, if a user has difficulty managing their time, the server will recommend a schedule management tool.

[0446] 3. Matching function

[0447] The server uses the analysis results to match user characteristics with company requirements and determine the best fit. This allows users to find workplaces and tasks that are a good match for them. For example, a user with excellent design skills might be matched with a company seeking creative projects.

[0448] 4. Remote support tools

[0449] The device provides users with multiple support tools when working remotely. These include a task management app based on profile analysis and an automatic summarization function to facilitate communication. By utilizing these tools, users can perform their work efficiently regardless of distance.

[0450] As a concrete example, let's assume a user excels at concentration in the field of software testing but struggles with multitasking. This user enters these characteristics during profile registration and undergoes AI analysis to receive suggestions for optimized task management tools. Furthermore, the user is appropriately matched with relevant companies and can progress through their work while receiving regular feedback. This remote support allows each user to dynamically improve their work style and achieve financial independence.

[0451] Thus, the present invention aims to support individuals with diverse disabilities in achieving independent work styles and to enhance inclusivity in society as a whole.

[0452] The following describes the processing flow.

[0453] Step 1:

[0454] Users enter profile information using their own devices. Specifically, they describe their strengths (e.g., design skills and analytical skills) and weaknesses (e.g., time management and communication) in the input form.

[0455] Step 2:

[0456] The device sends the entered profile information to the server. The transmitted data is securely transferred to the server using encryption technology.

[0457] Step 3:

[0458] The server saves the received profile information to a database. This saving process ensures data integrity while efficiently managing the database.

[0459] Step 4:

[0460] The server provides the stored profile information to the analysis engine. The analysis engine uses generative artificial intelligence to identify the user's strengths and recommend appropriate tools and methods to compensate for their weaknesses.

[0461] Step 5:

[0462] Based on the analysis results, the server collects data on companies that may be a good match for the user. It retrieves the skill requirements and job descriptions offered by the companies from the database and compares them with the user's characteristics.

[0463] Step 6:

[0464] The server uses the matching results to generate appropriate matching information and notifies the user. In this process, a matching algorithm is used to select the most suitable workplace or job for the user.

[0465] Step 7:

[0466] The terminal displays matching information from the server to the user. The user can use this information to select a workplace and request additional information if necessary.

[0467] Step 8:

[0468] Users launch remote assistance tools using their devices. These include profile-based task management apps and communication assistance tools.

[0469] Step 9:

[0470] The server collects user work progress data via remote support tools and sends feedback as needed. This creates an environment where users can maintain work efficiency and continuously improve themselves.

[0471] (Example 1)

[0472] 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."

[0473] There is a lack of platforms that allow users with diverse characteristics to maximize their abilities, efficiently compensate for their weaknesses, and find the optimal work environment. In particular, the lack of appropriate job matching and support for remote work are major obstacles.

[0474] 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.

[0475] In this invention, the server includes means for registering the user's abilities via means for inputting characteristic information, means for analyzing the user's areas of weakness using a generative analysis device and providing optimal support means, and means for matching the user's abilities with the organization's required characteristics and determining an appropriate match. This enables the user to find an optimal work environment based on their own characteristics and perform their duties efficiently.

[0476] "Characteristic information" refers to information about the user's abilities, skills, and areas of weakness.

[0477] "Means of use" refers to the devices or interfaces that users use to input or receive information.

[0478] A "generative analysis device" is a device that performs generative analysis based on input data to derive appropriate suggestions and conclusions.

[0479] "Areas of weakness" refers to skills or characteristics that a user struggles with.

[0480] "Supportive measures" refer to methods and tools that complement the user's areas of weakness and assist in performing tasks.

[0481] "Required characteristics of an organization" refers to the skills and abilities that a company or organization seeks.

[0482] "Determining a match" means comparing the characteristics of the users with the requirements of the organization and evaluating the optimal fit.

[0483] A "remote support tool" is software or an application designed to assist users in performing their work remotely or in a virtual environment.

[0484] This platform system is designed to help users with diverse characteristics find the work environment best suited to them. Specifically, user terminals, servers, and generative AI models function as key components.

[0485] User terminal:

[0486] The user uses a terminal to input characteristic information. This terminal features a user-friendly interface and includes functions to organize and format the input data, ensuring data consistency and accuracy. After data entry, the terminal encrypts the information and sends it to the server.

[0487] server:

[0488] The server stores the received characteristic information in a database and then analyzes the data using a generative AI model. This AI model employs advanced machine learning algorithms to derive the optimal support measures for areas where the user is weak. It also matches the user's characteristics with the organization's requirements to determine the best job match.

[0489] For example, if a user registers information indicating they are "good at project management" but "not good at time management," the server analyzes this data and suggests software to assist the user with schedule management.

[0490] An example of a prompt message might be, "Please suggest a schedule management tool based on the user's characteristic data."

[0491] Remote support tools:

[0492] Based on the server analysis results, the terminal provides the user with remote support tools. These tools are customized according to the user's profile and include task management applications and communication support functions. Users can use these tools to effectively perform their tasks regardless of distance.

[0493] In this way, the invention enables users with diverse characteristics to make the most of their own strengths, efficiently compensate for their weaknesses, and support them in finding the optimal work environment.

[0494] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0495] Step 1:

[0496] Users input characteristic information using their user terminal. Specifically, they record information about their strengths and weaknesses, and their desired work environment. In this process, the terminal formats and validates the input data to ensure consistency and accuracy. The input data is formatted and sent to the server in an encrypted format.

[0497] Step 2:

[0498] The server stores characteristic information received from user terminals in a database. Backup processing is performed on the stored data to ensure information security. Following this, an index is created to enable efficient data retrieval.

[0499] Step 3:

[0500] The server analyzes the received characteristic information using a generative AI model. The analysis utilizes data mining and machine learning algorithms to analyze user characteristics in detail. Specifically, it identifies the user's areas of weakness and proposes appropriate support measures. This analysis result is generated as intermediate data.

[0501] Step 4:

[0502] The server uses intermediate data to match user characteristics with company requirements. This process utilizes text matching technology to identify the most suitable occupation. The results based on the analysis are output as specific occupational information.

[0503] Step 5:

[0504] The terminal receives results from the server and provides detailed feedback to the user. The terminal notifies the user of suitable career information and displays it in an easy-to-understand visual format. This includes real-time updates using notification features.

[0505] Step 6:

[0506] The terminal provides users with customized remote support tools based on the server's analysis results. These include task management apps and communication tools, optimized for the user's profile. Users utilize these tools to perform their tasks efficiently.

[0507] (Application Example 1)

[0508] 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."

[0509] The challenge is to provide a work system that enables workers with disabilities to engage in their work while making the most of their unique abilities and effectively compensating for their weaknesses. In particular, it is necessary to create an environment where they can perform their work efficiently even remotely by receiving work instructions and feedback in real time using information display devices.

[0510] 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.

[0511] In this invention, the server includes means for registering the user's characteristics via a user terminal into which ability information is input, means for analyzing the user's weaknesses using generative artificial intelligence and providing optimal compensatory means, and means for providing real-time instructions and feedback using an information display device worn by the worker. This enables workers with disabilities to efficiently perform their duties by leveraging their strengths and compensating for their weaknesses.

[0512] "Ability information" refers to information that includes the user's characteristics, skills, and areas of weakness, and is used to clarify an individual's characteristics.

[0513] A "user terminal" is a device operated by a user to input ability information and confirm work instructions, and it enables the transmission and reception of information through a user interface.

[0514] "Generative artificial intelligence" is a type of artificial intelligence that analyzes input data and uses it to provide optimal complementary solutions tailored to the user's characteristics.

[0515] "Worker" refers to a user who wears an information display device and performs tasks while receiving real-time instructions and feedback.

[0516] An "information display device" is a device that, when worn by a worker, has the function of providing instructions and feedback in real time.

[0517] To implement this invention, the entire system is configured to maximize the strengths of each worker while compensating for their weaknesses. First, the server uses "generative artificial intelligence" to analyze "capability information" input from each user terminal. Through this analysis, the characteristics of the users are matched with the requirements of the organization to achieve the optimal match.

[0518] The user terminal allows workers to receive instructions and feedback in real time by wearing an "information display device." This information display device is expected to be implemented as smart glasses or an AR device, providing work instructions and visualization of task progress. The built-in analysis engine adjusts the work content according to the worker's strengths and weaknesses.

[0519] The hardware used includes smart devices and information display devices, and the software will utilize the Python library scikit-learn. The specific data processing involves "extracting user skills and performing task matching based on those skills."

[0520] As a concrete example, in a manufacturing line where concentration is required on a specific process, a task is proposed that is designed to allow workers who are skilled at that task to maximize their concentration. This process enables workers to adapt flexibly based on their individual characteristics and improve work efficiency.

[0521] Example prompt: "User skills: 'Concentration, detailed work, assembly' User challenge: 'Communication' Calculate the best matching task based on the provided task database."

[0522] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0523] Step 1:

[0524] Users input their "ability information" using their user terminal. This information includes the user's strengths and weaknesses. This data is temporarily stored on the user terminal.

[0525] Step 2:

[0526] The server receives "ability information" transmitted from the user's terminal. Based on the received data, it uses a generative AI model to analyze the user's weaknesses. This analysis constructs a skill matrix to identify what kind of supplementary methods the user needs.

[0527] Step 3:

[0528] The server matches the analysis results with the organization's requirements. During this process, machine learning algorithms (e.g., k-NN) are used to find the tasks and roles best suited to the user's characteristics. This process also references the organization's database to select entries with high relevance.

[0529] Step 4:

[0530] The server sends the matching results to the user's terminal. The user's terminal displays the most suitable job information or tasks to the user in real time. This allows the user to receive work suggestions that align with their areas of expertise.

[0531] Step 5:

[0532] Users wear information display devices (such as smart glasses) to receive instructions and feedback in real time at the work site. The information display devices receive instructions from a server and visually present work procedures and points to note. This enables users to perform tasks efficiently and accurately.

[0533] 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.

[0534] This invention relates to a system that provides a more effective work environment by leveraging the unique abilities of people with disabilities, compensating for their weaknesses, and further combining this with emotion recognition capabilities. This system uses an emotion engine to analyze the user's emotions, with the aim of improving work efficiency and supporting their mental health.

[0535] 1. Profile and emotion information registration function

[0536] Users input information about their strengths, weaknesses, and emotional states through their user terminal. The user terminal is equipped with sensors and interfaces for recording emotional states in real time and is designed to allow users to provide information in the most natural way possible.

[0537] 2. Data Management and Sentiment Analysis

[0538] The server stores profile information and emotional data transmitted from the user's terminal in a database. Generative artificial intelligence uses this data to analyze it, identify the user's strengths, and simultaneously suggest appropriate support measures based on their emotional state. For example, it can provide actions tailored to the individual's condition, such as recommending a short, relaxing break when feeling stressed.

[0539] 3. Matching and Feedback Function

[0540] The server performs matching while also considering the user's emotional state. It incorporates a mechanism to scrutinize whether the company culture and work environment are a good fit for the user, in addition to the skills the company requires. This ensures that the user's psychological and emotional adaptation is given maximum consideration.

[0541] 4. Remote support and emotional monitoring

[0542] The device provides tools to support remote work and monitors emotions in real time, offering users advice and feedback as needed. For example, if the emotion engine determines that the user's stress level is high, the device will suggest ways to refresh themselves and present plans to reduce their workload. In this way, a system is built that comprehensively supports the user's work performance and mental health.

[0543] As a concrete example, let's assume a user possesses design skills but struggles with communication. If this user feels nervous during a project presentation, the emotion engine detects this sign and synchronizes with the server to provide appropriate feedback. As a result, the user can feel more at ease and more confident in showcasing their skills. This system provides an environment where people with disabilities can work more flexibly and healthily, supporting their participation in society.

[0544] The following describes the processing flow.

[0545] Step 1:

[0546] Users input their strengths, weaknesses, and current emotional state through their user device. Emotional states are recorded in real time by sensors and interfaces built into the device.

[0547] Step 2:

[0548] The device sends profile information and sentiment data to the server. The data is encrypted using appropriate security protocols before being sent to the server.

[0549] Step 3:

[0550] The server stores the received profile information and sentiment data in a database. During storage, the data is indexed to allow for quick access during subsequent analysis.

[0551] Step 4:

[0552] The server uses generative artificial intelligence to analyze the user's profile information and emotional state. The analysis engine identifies strengths and weaknesses, and calculates appropriate compensatory measures based on emotions.

[0553] Step 5:

[0554] Based on the analysis results, the server identifies support measures to suggest more efficient ways of working to the user. For example, if emotional data indicates that the user is experiencing stress, it will suggest stress reduction measures.

[0555] Step 6:

[0556] The server uses the analysis results to match the user with the most suitable company based on their characteristics. In this process, it considers not only the characteristics the company seeks, but also whether the company culture is compatible with the user's personality and emotional state.

[0557] Step 7:

[0558] The server notifies the user's terminal of the matching results. The user then reviews the recommended occupation information and company details via their terminal and compares and considers the options.

[0559] Step 8:

[0560] The device monitors the user's emotions in real time while they are working remotely and applies tools accordingly. Based on the monitoring results, it provides the user with necessary feedback and advice.

[0561] Step 9:

[0562] Users optimize their work efficiency and mental state using supplementary tools and feedback received through their devices. This makes it possible to create a sustainable and healthy work environment.

[0563] (Example 2)

[0564] 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."

[0565] In today's workplace environment, efficient job matching and support that takes into account individual characteristics and emotional states are required, but conventional systems do not adequately consider these factors. In particular, people with disabilities and those requiring special support face the challenge of finding an environment that utilizes their skills and characteristics.

[0566] 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.

[0567] In this invention, the server includes means for registering individual characteristics via a device for inputting functional information and emotional data; means for analyzing individual states using a generative AI model and providing optimal support measures; and means for comparing individual characteristics with group requirements and determining appropriate matches. This enables effective job matching and improved work efficiency based on individual characteristics and emotional states.

[0568] "Functional information" refers to information about the user's strengths and technical abilities.

[0569] "Emotional data" refers to data that shows the user's psychological state and changes in their emotions.

[0570] A "generative AI model" is a model that uses artificial intelligence to analyze data and generate specific patterns or suggestions.

[0571] A "device" is a device used by users to input and send and receive information.

[0572] "Characteristics" refer to individual characteristics of each user, including their abilities, skills, and emotional state.

[0573] "Remote work" refers to a work style in which tasks are performed remotely.

[0574] "Support technologies for improving efficiency" refer to technologies and tools provided to improve work efficiency and business results.

[0575] The system of the present invention aims to analyze the characteristics and emotional state of users, including people with disabilities, and to provide optimal support. The following describes embodiments for carrying out the invention.

[0576] 1. User input

[0577] Users input their functional information and emotional data using the device. The device is equipped with biosensors and interfaces to record the user's emotional state in real time. Therefore, users can input data such as heart rate and changes in facial expression in a natural state.

[0578] 2. Data transmission and storage

[0579] The terminal transmits the entered information to the server using a secure protocol. The server stores this data in a database and manages it in association with user-specific identification information. This ensures that user information is stored safely and accurately.

[0580] 3. Information Analysis and Proposal

[0581] The server analyzes data using a generative AI model. The generative AI model analyzes the user's emotional state and characteristic data, and makes appropriate suggestions based on the results. For example, it can suggest taking a break to a user who is feeling stressed.

[0582] 4. Matching and compatibility check

[0583] The server compares the user's functional information with the group's requirements to find a suitable match. If a match is found, the result is notified to the user's terminal, and relevant occupational information is displayed. This allows the user to find a work environment that suits them.

[0584] Examples of specific cases and prompt statements

[0585] As a concrete example, consider a user with design skills but poor communication skills who experiences anxiety during a presentation. The emotion engine can detect signs of anxiety, synchronize with the server, and suggest short breaks or breathing exercises for relaxation.

[0586] An example of a prompt message is something like, "How can I leverage my design skills while also reducing nervousness during presentations?" This is the kind of input that users are expected to provide.

[0587] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0588] Step 1:

[0589] Users input their functional information and emotional data through the device. Sensors built into the device detect heart rate and changes in facial expression in real time and collect this data as emotional data. The input information is stored on the device as data indicating the user's skills and current emotional state.

[0590] Step 2:

[0591] The terminal transmits the collected data to the server based on a secure communication protocol. The transmitted information is stored in the server's database and stored identified for each individual user. During this process, the accuracy and confidentiality of the data are verified, and it is stored in an appropriate format.

[0592] Step 3:

[0593] The server analyzes user data stored in the database using a generative AI model. Based on emotional data and skill information, the generative AI model recognizes patterns in the user's state and generates appropriate suggestions. For example, if this analysis determines that the user is experiencing stress, a logic will be activated suggesting a break.

[0594] Step 4:

[0595] The server generates suggestions and feedback based on the analysis results and sends notifications to the user's device. These notifications include actions the user should take according to their current emotional state. As output, the user receives information on suggested relaxation methods and adjustments to tasks to be performed.

[0596] Step 5:

[0597] The user's device provides necessary functions based on suggestions received from the server. For example, if the user indicates a high stress level, the device will launch a guided breathing exercise app. The user can also view and implement suggested rest and refreshment methods on the device.

[0598] This series of processes enables users to perform tasks efficiently in a way that suits their own characteristics and emotional state.

[0599] (Application Example 2)

[0600] 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."

[0601] There is a need to provide support systems that enable diverse workers, including people with disabilities, to work while making the most of their unique abilities and reducing emotional burdens in different environments and situations. In particular, there is a lack of mechanisms that can receive real-time emotional feedback and automatically adjust work accordingly, which is a significant challenge in current work environments.

[0602] 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.

[0603] In this invention, the server includes means for registering the user's characteristics via a user terminal into which ability information is input; means for analyzing the user's weaknesses using generative artificial intelligence and providing optimal complementary means; and means for comparing the user's characteristics with the organization's requirements and determining appropriate suitability. This makes it possible to provide visual feedback and real-time emotional support using smart devices and to adjust work tasks while considering the user's emotional state.

[0604] "Ability information" refers to data about a user's skills and characteristics, including their weaknesses and strengths.

[0605] A "user terminal" is a device used by users to register and monitor their own characteristics and emotional information, and includes smartphones and smart glasses.

[0606] "Generative artificial intelligence" is an artificial intelligence technology that analyzes input data and proposes the most suitable complementary methods and support for the user.

[0607] A "smart device" refers to a high-performance device that can share information and provide feedback in real time via an internet connection. Specifically, this includes smart glasses and head-mounted displays.

[0608] "Visual feedback" is a means of providing information to users by presenting them with visual information, which helps them understand the situation and regulate their emotions.

[0609] "Real-time emotional support" refers to support activities that analyze a user's emotional state in real time and immediately provide advice and adjustments tailored to that state.

[0610] The system implementing this invention aims to support people with disabilities and various workers in making the most of their unique abilities and performing tasks efficiently while reducing emotional burden. This system mainly consists of a server, user terminals, and smart devices.

[0611] The server receives ability information and emotional data sent from the user's terminal and stores it in a database. The generative artificial intelligence used analyzes this data and has a mechanism to provide the user with the most suitable supplementary means. Specifically, based on the analyzed emotional information, it suggests refreshing activities if the user is feeling stressed. It can also compare the user's characteristics with the organization's requirements and provide appropriate occupational information.

[0612] The user terminal provides visual feedback using smart devices such as smart glasses and head-mounted displays. This allows users to intuitively understand changes in their work environment and their own emotional state. It enables real-time emotional support and provides immediate advice to the user.

[0613] As a concrete example, consider a situation where a user working on a factory production line feels anxious. In this case, the smart device visually displays a message saying "Please relax," and the robot adjusts its work pace. This allows the user to regain their composure and continue working at their own pace.

[0614] An example of a prompt message would be: "If you feel stressed while working, analyze your emotional data and provide you with relaxing feedback. As a specific example, display a visual message showing simple breathing techniques for relaxation."

[0615] This system enables data analysis and immediate feedback by linking the server, user terminals, and smart devices, effectively supporting users' work efficiency and mental well-being.

[0616] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0617] Step 1:

[0618] The server receives ability information and emotional data transmitted from the user's terminal. This input data is stored in a database in preparation for subsequent processing. At this stage, information about the user's characteristics and emotional state is provided as input and stored.

[0619] Step 2:

[0620] The server uses generative artificial intelligence to analyze capability information in the database. In particular, it performs data analysis to identify the user's strengths and weaknesses. It receives capability information as input, identifies complementary methods tailored to the user's characteristics based on this analysis, and generates appropriate support methods as output.

[0621] Step 3:

[0622] The server uses the analyzed information to compare the user's characteristics with the organization's requirements. The data calculation performed here numerically evaluates the compatibility between the user's and the organization's characteristics and selects appropriate occupational information. The selected occupational information is then passed as output to step 4.

[0623] Step 4:

[0624] The device displays visual feedback based on occupational information and emotional indicators provided by the server. The user checks their own emotional state and occupational suitability information through smart glasses. At this stage, the output information from the server is used as input and presented to the user visually.

[0625] Step 5:

[0626] Users receive visual feedback and use it to make self-adjustments during their actual work. For example, when feeling anxious, they may receive relaxation suggestions from the device and practice breathing exercises to achieve mental stability. This allows them to perform their work while controlling their emotional state.

[0627] This series of processing steps allows users to maximize their unique abilities while reducing emotional burden and performing at their best in an optimized work environment.

[0628] 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.

[0629] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0630] 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.

[0631] [Fourth Embodiment]

[0632] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0633] 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.

[0634] 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).

[0635] 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.

[0636] 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.

[0637] 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).

[0638] 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.

[0639] 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.

[0640] 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.

[0641] 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.

[0642] 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.

[0643] 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.

[0644] 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".

[0645] This invention relates to a platform system that provides a work environment that maximizes the unique abilities of people with disabilities while compensating for their weaknesses. The system aims to provide the optimal work style based on the needs of companies and organizations by inputting user ability information. The main elements of the system are described below.

[0646] 1. Profile registration function

[0647] Users input their strengths and weaknesses into the system via a user terminal. The user terminal is designed to organize individual ability information and allow for easy input through its user interface.

[0648] 2. Data Management and Analysis

[0649] The server stores the user's profile in a database and performs analysis using generative artificial intelligence. The analysis engine identifies the most suitable tasks based on the user's strengths and suggests complementary methods to address areas where they struggle. For example, if a user has difficulty managing their time, the server will recommend a schedule management tool.

[0650] 3. Matching function

[0651] The server uses the analysis results to match user characteristics with company requirements and determine the best fit. This allows users to find workplaces and tasks that are a good match for them. For example, a user with excellent design skills might be matched with a company seeking creative projects.

[0652] 4. Remote support tools

[0653] The device provides users with multiple support tools when working remotely. These include a task management app based on profile analysis and an automatic summarization function to facilitate communication. By utilizing these tools, users can perform their work efficiently regardless of distance.

[0654] As a concrete example, let's assume a user excels at concentration in the field of software testing but struggles with multitasking. This user enters these characteristics during profile registration and undergoes AI analysis to receive suggestions for optimized task management tools. Furthermore, the user is appropriately matched with relevant companies and can progress through their work while receiving regular feedback. This remote support allows each user to dynamically improve their work style and achieve financial independence.

[0655] Thus, the present invention aims to support individuals with diverse disabilities in achieving independent work styles and to enhance inclusivity in society as a whole.

[0656] The following describes the processing flow.

[0657] Step 1:

[0658] Users enter profile information using their own devices. Specifically, they describe their strengths (e.g., design skills and analytical skills) and weaknesses (e.g., time management and communication) in the input form.

[0659] Step 2:

[0660] The device sends the entered profile information to the server. The transmitted data is securely transferred to the server using encryption technology.

[0661] Step 3:

[0662] The server saves the received profile information to a database. This saving process ensures data integrity while efficiently managing the database.

[0663] Step 4:

[0664] The server provides the stored profile information to the analysis engine. The analysis engine uses generative artificial intelligence to identify the user's strengths and recommend appropriate tools and methods to compensate for their weaknesses.

[0665] Step 5:

[0666] Based on the analysis results, the server collects data on companies that may be a good match for the user. It retrieves the skill requirements and job descriptions offered by the companies from the database and compares them with the user's characteristics.

[0667] Step 6:

[0668] The server uses the matching results to generate appropriate matching information and notifies the user. In this process, a matching algorithm is used to select the most suitable workplace or job for the user.

[0669] Step 7:

[0670] The terminal displays matching information from the server to the user. The user can use this information to select a workplace and request additional information if necessary.

[0671] Step 8:

[0672] Users launch remote assistance tools using their devices. These include profile-based task management apps and communication assistance tools.

[0673] Step 9:

[0674] The server collects user work progress data via remote support tools and sends feedback as needed. This creates an environment where users can maintain work efficiency and continuously improve themselves.

[0675] (Example 1)

[0676] 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".

[0677] There is a lack of platforms that allow users with diverse characteristics to maximize their abilities, efficiently compensate for their weaknesses, and find the optimal work environment. In particular, the lack of appropriate job matching and support for remote work are major obstacles.

[0678] 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.

[0679] In this invention, the server includes means for registering the user's abilities via means for inputting characteristic information, means for analyzing the user's areas of weakness using a generative analysis device and providing optimal support means, and means for matching the user's abilities with the organization's required characteristics and determining an appropriate match. This enables the user to find an optimal work environment based on their own characteristics and perform their duties efficiently.

[0680] "Characteristic information" refers to information about the user's abilities, skills, and areas of weakness.

[0681] "Means of use" refers to the devices or interfaces that users use to input or receive information.

[0682] A "generative analysis device" is a device that performs generative analysis based on input data to derive appropriate suggestions and conclusions.

[0683] "Areas of weakness" refers to skills or characteristics that a user struggles with.

[0684] "Supportive measures" refer to methods and tools that complement the user's areas of weakness and assist in performing tasks.

[0685] "Required characteristics of an organization" refers to the skills and abilities that a company or organization seeks.

[0686] "Determining a match" means comparing the characteristics of the users with the requirements of the organization and evaluating the optimal fit.

[0687] A "remote support tool" is software or an application designed to assist users in performing their work remotely or in a virtual environment.

[0688] This platform system is designed to help users with diverse characteristics find the work environment best suited to them. Specifically, user terminals, servers, and generative AI models function as key components.

[0689] User terminal:

[0690] The user uses a terminal to input characteristic information. This terminal features a user-friendly interface and includes functions to organize and format the input data, ensuring data consistency and accuracy. After data entry, the terminal encrypts the information and sends it to the server.

[0691] server:

[0692] The server stores the received characteristic information in a database and then analyzes the data using a generative AI model. This AI model employs advanced machine learning algorithms to derive the optimal support measures for areas where the user is weak. It also matches the user's characteristics with the organization's requirements to determine the best job match.

[0693] For example, if a user registers information indicating they are "good at project management" but "not good at time management," the server analyzes this data and suggests software to assist the user with schedule management.

[0694] An example of a prompt message might be, "Please suggest a schedule management tool based on the user's characteristic data."

[0695] Remote support tools:

[0696] Based on the server analysis results, the terminal provides the user with remote support tools. These tools are customized according to the user's profile and include task management applications and communication support functions. Users can use these tools to effectively perform their tasks regardless of distance.

[0697] In this way, the invention enables users with diverse characteristics to make the most of their own strengths, efficiently compensate for their weaknesses, and support them in finding the optimal work environment.

[0698] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0699] Step 1:

[0700] Users input characteristic information using their user terminal. Specifically, they record information about their strengths and weaknesses, and their desired work environment. In this process, the terminal formats and validates the input data to ensure consistency and accuracy. The input data is formatted and sent to the server in an encrypted format.

[0701] Step 2:

[0702] The server stores characteristic information received from user terminals in a database. Backup processing is performed on the stored data to ensure information security. Following this, an index is created to enable efficient data retrieval.

[0703] Step 3:

[0704] The server analyzes the received characteristic information using a generative AI model. The analysis utilizes data mining and machine learning algorithms to analyze user characteristics in detail. Specifically, it identifies the user's areas of weakness and proposes appropriate support measures. This analysis result is generated as intermediate data.

[0705] Step 4:

[0706] The server uses intermediate data to match user characteristics with company requirements. This process utilizes text matching technology to identify the most suitable occupation. The results based on the analysis are output as specific occupational information.

[0707] Step 5:

[0708] The terminal receives results from the server and provides detailed feedback to the user. The terminal notifies the user of suitable career information and displays it in an easy-to-understand visual format. This includes real-time updates using notification features.

[0709] Step 6:

[0710] The terminal provides users with customized remote support tools based on the server's analysis results. These include task management apps and communication tools, optimized for the user's profile. Users utilize these tools to perform their tasks efficiently.

[0711] (Application Example 1)

[0712] 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".

[0713] The challenge is to provide a work system that enables workers with disabilities to engage in their work while making the most of their unique abilities and effectively compensating for their weaknesses. In particular, it is necessary to create an environment where they can perform their work efficiently even remotely by receiving work instructions and feedback in real time using information display devices.

[0714] 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.

[0715] In this invention, the server includes means for registering the user's characteristics via a user terminal into which ability information is input, means for analyzing the user's weaknesses using generative artificial intelligence and providing optimal compensatory means, and means for providing real-time instructions and feedback using an information display device worn by the worker. This enables workers with disabilities to efficiently perform their duties by leveraging their strengths and compensating for their weaknesses.

[0716] "Ability information" refers to information that includes the user's characteristics, skills, and areas of weakness, and is used to clarify an individual's characteristics.

[0717] A "user terminal" is a device operated by a user to input ability information and confirm work instructions, and it enables the transmission and reception of information through a user interface.

[0718] "Generative artificial intelligence" is a type of artificial intelligence that analyzes input data and uses it to provide optimal complementary solutions tailored to the user's characteristics.

[0719] "Worker" refers to a user who wears an information display device and performs tasks while receiving real-time instructions and feedback.

[0720] An "information display device" is a device that, when worn by a worker, has the function of providing instructions and feedback in real time.

[0721] To implement this invention, the entire system is configured to maximize the strengths of each worker while compensating for their weaknesses. First, the server uses "generative artificial intelligence" to analyze "capability information" input from each user terminal. Through this analysis, the characteristics of the users are matched with the requirements of the organization to achieve the optimal match.

[0722] The user terminal allows workers to receive instructions and feedback in real time by wearing an "information display device." This information display device is expected to be implemented as smart glasses or an AR device, providing work instructions and visualization of task progress. The built-in analysis engine adjusts the work content according to the worker's strengths and weaknesses.

[0723] The hardware used includes smart devices and information display devices, and the software will utilize the Python library scikit-learn. The specific data processing involves "extracting user skills and performing task matching based on those skills."

[0724] As a concrete example, in a manufacturing line where concentration is required on a specific process, a task is proposed that is designed to allow workers who are skilled at that task to maximize their concentration. This process enables workers to adapt flexibly based on their individual characteristics and improve work efficiency.

[0725] Example prompt: "User skills: 'Concentration, detailed work, assembly' User challenge: 'Communication' Calculate the best matching task based on the provided task database."

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

[0727] Step 1:

[0728] Users input their "ability information" using their user terminal. This information includes the user's strengths and weaknesses. This data is temporarily stored on the user terminal.

[0729] Step 2:

[0730] The server receives "ability information" transmitted from the user's terminal. Based on the received data, it uses a generative AI model to analyze the user's weaknesses. This analysis constructs a skill matrix to identify what kind of supplementary methods the user needs.

[0731] Step 3:

[0732] The server matches the analysis results with the organization's requirements. During this process, machine learning algorithms (e.g., k-NN) are used to find the tasks and roles best suited to the user's characteristics. This process also references the organization's database to select entries with high relevance.

[0733] Step 4:

[0734] The server sends the matching results to the user's terminal. The user's terminal displays the most suitable job information or tasks to the user in real time. This allows the user to receive work suggestions that align with their areas of expertise.

[0735] Step 5:

[0736] Users wear information display devices (such as smart glasses) to receive instructions and feedback in real time at the work site. The information display devices receive instructions from a server and visually present work procedures and points to note. This enables users to perform tasks efficiently and accurately.

[0737] 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.

[0738] This invention relates to a system that provides a more effective work environment by leveraging the unique abilities of people with disabilities, compensating for their weaknesses, and further combining this with emotion recognition capabilities. This system uses an emotion engine to analyze the user's emotions, with the aim of improving work efficiency and supporting their mental health.

[0739] 1. Profile and emotion information registration function

[0740] Users input information about their strengths, weaknesses, and emotional states through their user terminal. The user terminal is equipped with sensors and interfaces for recording emotional states in real time and is designed to allow users to provide information in the most natural way possible.

[0741] 2. Data Management and Sentiment Analysis

[0742] The server stores profile information and emotional data transmitted from the user's terminal in a database. Generative artificial intelligence uses this data to analyze it, identify the user's strengths, and simultaneously suggest appropriate support measures based on their emotional state. For example, it can provide actions tailored to the individual's condition, such as recommending a short, relaxing break when feeling stressed.

[0743] 3. Matching and Feedback Function

[0744] The server performs matching while also considering the user's emotional state. It incorporates a mechanism to scrutinize whether the company culture and work environment are a good fit for the user, in addition to the skills the company requires. This ensures that the user's psychological and emotional adaptation is given maximum consideration.

[0745] 4. Remote support and emotional monitoring

[0746] The device provides tools to support remote work and monitors emotions in real time, offering users advice and feedback as needed. For example, if the emotion engine determines that the user's stress level is high, the device will suggest ways to refresh themselves and present plans to reduce their workload. In this way, a system is built that comprehensively supports the user's work performance and mental health.

[0747] As a concrete example, let's assume a user possesses design skills but struggles with communication. If this user feels nervous during a project presentation, the emotion engine detects this sign and synchronizes with the server to provide appropriate feedback. As a result, the user can feel more at ease and more confident in showcasing their skills. This system provides an environment where people with disabilities can work more flexibly and healthily, supporting their participation in society.

[0748] The following describes the processing flow.

[0749] Step 1:

[0750] Users input their strengths, weaknesses, and current emotional state through their user device. Emotional states are recorded in real time by sensors and interfaces built into the device.

[0751] Step 2:

[0752] The device sends profile information and sentiment data to the server. The data is encrypted using appropriate security protocols before being sent to the server.

[0753] Step 3:

[0754] The server stores the received profile information and sentiment data in a database. During storage, the data is indexed to allow for quick access during subsequent analysis.

[0755] Step 4:

[0756] The server uses generative artificial intelligence to analyze the user's profile information and emotional state. The analysis engine identifies strengths and weaknesses, and calculates appropriate compensatory measures based on emotions.

[0757] Step 5:

[0758] Based on the analysis results, the server identifies support measures to suggest more efficient ways of working to the user. For example, if emotional data indicates that the user is experiencing stress, it will suggest stress reduction measures.

[0759] Step 6:

[0760] The server uses the analysis results to match the user with the most suitable company based on their characteristics. In this process, it considers not only the characteristics the company seeks, but also whether the company culture is compatible with the user's personality and emotional state.

[0761] Step 7:

[0762] The server notifies the user's terminal of the matching results. The user then reviews the recommended occupation information and company details via their terminal and compares and considers the options.

[0763] Step 8:

[0764] The device monitors the user's emotions in real time while they are working remotely and applies tools accordingly. Based on the monitoring results, it provides the user with necessary feedback and advice.

[0765] Step 9:

[0766] Users optimize their work efficiency and mental state using supplementary tools and feedback received through their devices. This makes it possible to create a sustainable and healthy work environment.

[0767] (Example 2)

[0768] 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".

[0769] In today's workplace environment, efficient job matching and support that takes into account individual characteristics and emotional states are required, but conventional systems do not adequately consider these factors. In particular, people with disabilities and those requiring special support face the challenge of finding an environment that utilizes their skills and characteristics.

[0770] 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.

[0771] In this invention, the server includes means for registering individual characteristics via a device for inputting functional information and emotional data; means for analyzing individual states using a generative AI model and providing optimal support measures; and means for comparing individual characteristics with group requirements and determining appropriate matches. This enables effective job matching and improved work efficiency based on individual characteristics and emotional states.

[0772] "Functional information" refers to information about the user's strengths and technical abilities.

[0773] "Emotional data" refers to data that shows the user's psychological state and changes in their emotions.

[0774] A "generative AI model" is a model that uses artificial intelligence to analyze data and generate specific patterns or suggestions.

[0775] A "device" is a device used by users to input and send and receive information.

[0776] "Characteristics" refer to individual characteristics of each user, including their abilities, skills, and emotional state.

[0777] "Remote work" refers to a work style in which tasks are performed remotely.

[0778] "Support technologies for improving efficiency" refer to technologies and tools provided to improve work efficiency and business results.

[0779] The system of the present invention aims to analyze the characteristics and emotional state of users, including people with disabilities, and to provide optimal support. The following describes embodiments for carrying out the invention.

[0780] 1. User input

[0781] Users input their functional information and emotional data using the device. The device is equipped with biosensors and interfaces to record the user's emotional state in real time. Therefore, users can input data such as heart rate and changes in facial expression in a natural state.

[0782] 2. Data transmission and storage

[0783] The terminal transmits the entered information to the server using a secure protocol. The server stores this data in a database and manages it in association with user-specific identification information. This ensures that user information is stored safely and accurately.

[0784] 3. Information Analysis and Proposal

[0785] The server analyzes data using a generative AI model. The generative AI model analyzes the user's emotional state and characteristic data, and makes appropriate suggestions based on the results. For example, it can suggest taking a break to a user who is feeling stressed.

[0786] 4. Matching and compatibility check

[0787] The server compares the user's functional information with the group's requirements to find a suitable match. If a match is found, the result is notified to the user's terminal, and relevant occupational information is displayed. This allows the user to find a work environment that suits them.

[0788] Examples of specific cases and prompt statements

[0789] As a concrete example, consider a user with design skills but poor communication skills who experiences anxiety during a presentation. The emotion engine can detect signs of anxiety, synchronize with the server, and suggest short breaks or breathing exercises for relaxation.

[0790] An example of a prompt message is something like, "How can I leverage my design skills while also reducing nervousness during presentations?" This is the kind of input that users are expected to provide.

[0791] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0792] Step 1:

[0793] Users input their functional information and emotional data through the device. Sensors built into the device detect heart rate and changes in facial expression in real time and collect this data as emotional data. The input information is stored on the device as data indicating the user's skills and current emotional state.

[0794] Step 2:

[0795] The terminal transmits the collected data to the server based on a secure communication protocol. The transmitted information is stored in the server's database and stored identified for each individual user. During this process, the accuracy and confidentiality of the data are verified, and it is stored in an appropriate format.

[0796] Step 3:

[0797] The server analyzes user data stored in the database using a generative AI model. Based on emotional data and skill information, the generative AI model recognizes patterns in the user's state and generates appropriate suggestions. For example, if this analysis determines that the user is experiencing stress, a logic will be activated suggesting a break.

[0798] Step 4:

[0799] The server generates suggestions and feedback based on the analysis results and sends notifications to the user's device. These notifications include actions the user should take according to their current emotional state. As output, the user receives information on suggested relaxation methods and adjustments to tasks to be performed.

[0800] Step 5:

[0801] The user's device provides necessary functions based on suggestions received from the server. For example, if the user indicates a high stress level, the device will launch a guided breathing exercise app. The user can also view and implement suggested rest and refreshment methods on the device.

[0802] This series of processes enables users to perform tasks efficiently in a way that suits their own characteristics and emotional state.

[0803] (Application Example 2)

[0804] 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".

[0805] There is a need to provide support systems that enable diverse workers, including people with disabilities, to work while making the most of their unique abilities and reducing emotional burdens in different environments and situations. In particular, there is a lack of mechanisms that can receive real-time emotional feedback and automatically adjust work accordingly, which is a significant challenge in current work environments.

[0806] 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.

[0807] In this invention, the server includes means for registering the user's characteristics via a user terminal into which ability information is input; means for analyzing the user's weaknesses using generative artificial intelligence and providing optimal complementary means; and means for comparing the user's characteristics with the organization's requirements and determining appropriate suitability. This makes it possible to provide visual feedback and real-time emotional support using smart devices and to adjust work tasks while considering the user's emotional state.

[0808] "Ability information" refers to data about a user's skills and characteristics, including their weaknesses and strengths.

[0809] A "user terminal" is a device used by users to register and monitor their own characteristics and emotional information, and includes smartphones and smart glasses.

[0810] "Generative artificial intelligence" is an artificial intelligence technology that analyzes input data and proposes the most suitable complementary methods and support for the user.

[0811] A "smart device" refers to a high-performance device that can share information and provide feedback in real time via an internet connection. Specifically, this includes smart glasses and head-mounted displays.

[0812] "Visual feedback" is a means of providing information to users by presenting them with visual information, which helps them understand the situation and regulate their emotions.

[0813] "Real-time emotional support" refers to support activities that analyze a user's emotional state in real time and immediately provide advice and adjustments tailored to that state.

[0814] The system implementing this invention aims to support people with disabilities and various workers in making the most of their unique abilities and performing tasks efficiently while reducing emotional burden. This system mainly consists of a server, user terminals, and smart devices.

[0815] The server receives ability information and emotional data sent from the user's terminal and stores it in a database. The generative artificial intelligence used analyzes this data and has a mechanism to provide the user with the most suitable supplementary means. Specifically, based on the analyzed emotional information, it suggests refreshing activities if the user is feeling stressed. It can also compare the user's characteristics with the organization's requirements and provide appropriate occupational information.

[0816] The user terminal provides visual feedback using smart devices such as smart glasses and head-mounted displays. This allows users to intuitively understand changes in their work environment and their own emotional state. It enables real-time emotional support and provides immediate advice to the user.

[0817] As a concrete example, consider a situation where a user working on a factory production line feels anxious. In this case, the smart device visually displays a message saying "Please relax," and the robot adjusts its work pace. This allows the user to regain their composure and continue working at their own pace.

[0818] An example of a prompt message would be: "If you feel stressed while working, analyze your emotional data and provide you with relaxing feedback. As a specific example, display a visual message showing simple breathing techniques for relaxation."

[0819] This system enables data analysis and immediate feedback by linking the server, user terminals, and smart devices, effectively supporting users' work efficiency and mental well-being.

[0820] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0821] Step 1:

[0822] The server receives ability information and emotional data transmitted from the user's terminal. This input data is stored in a database in preparation for subsequent processing. At this stage, information about the user's characteristics and emotional state is provided as input and stored.

[0823] Step 2:

[0824] The server uses generative artificial intelligence to analyze capability information in the database. In particular, it performs data analysis to identify the user's strengths and weaknesses. It receives capability information as input, identifies complementary methods tailored to the user's characteristics based on this analysis, and generates appropriate support methods as output.

[0825] Step 3:

[0826] The server uses the analyzed information to compare the user's characteristics with the organization's requirements. The data calculation performed here numerically evaluates the compatibility between the user's and the organization's characteristics and selects appropriate occupational information. The selected occupational information is then passed as output to step 4.

[0827] Step 4:

[0828] The device displays visual feedback based on occupational information and emotional indicators provided by the server. The user checks their own emotional state and occupational suitability information through smart glasses. At this stage, the output information from the server is used as input and presented to the user visually.

[0829] Step 5:

[0830] Users receive visual feedback and use it to make self-adjustments during their actual work. For example, when feeling anxious, they may receive relaxation suggestions from the device and practice breathing exercises to achieve mental stability. This allows them to perform their work while controlling their emotional state.

[0831] This series of processing steps allows users to maximize their unique abilities while reducing emotional burden and performing at their best in an optimized work environment.

[0832] 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.

[0833] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0834] 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.

[0835] 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.

[0836] 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.

[0837] 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.

[0838] 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.

[0839] 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.

[0840] 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."

[0841] 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.

[0842] 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.

[0843] 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.

[0844] 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.

[0845] 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.

[0846] 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.

[0847] 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.

[0848] 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.

[0849] 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.

[0850] 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.

[0851] 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.

[0852] 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.

[0853] The following is further disclosed regarding the embodiments described above.

[0854] (Claim 1)

[0855] A means of registering user characteristics via a user terminal into which ability information is entered,

[0856] A method for analyzing the user's weaknesses using generative artificial intelligence and providing optimal complementary solutions,

[0857] A means of comparing the characteristics of users with the requirements of an organization to determine appropriate suitability,

[0858] A means for notifying the user terminal of the aforementioned suitability result and displaying appropriate occupational information,

[0859] A system that includes this.

[0860] (Claim 2)

[0861] A means of analyzing information based on profiles during a meeting and summarizing important information,

[0862] The system according to claim 1, which displays the summary information on a user terminal in real time.

[0863] (Claim 3)

[0864] The system according to claim 1, which provides a support tool to optimize work efficiency in remote work using user characteristic information.

[0865] "Example 1"

[0866] (Claim 1)

[0867] A means for registering the user's abilities through a means for inputting characteristic information,

[0868] A means of analyzing the user's weak areas using a generative analysis device and providing optimal support measures,

[0869] A means of matching the user's capabilities with the organization's required characteristics and determining an appropriate match,

[0870] A means for notifying the user of the matching result and displaying appropriate job information,

[0871] A means of providing an optimized remote support tool using analyzed characteristic information,

[0872] A system that includes this.

[0873] (Claim 2)

[0874] The system according to claim 1, which analyzes data based on characteristic information during communication and summarizes related information.

[0875] (Claim 3)

[0876] The system according to claim 1, which provides a support tool to optimize work efficiency in remote work based on user capability information.

[0877] "Application Example 1"

[0878] (Claim 1)

[0879] A means of registering user characteristics via a user terminal into which ability information is entered,

[0880] A method for analyzing the user's weaknesses using generative artificial intelligence and providing optimal complementary solutions,

[0881] A means of comparing the characteristics of users with the requirements of an organization to determine appropriate suitability,

[0882] A means for notifying the user terminal of the aforementioned suitability result and displaying appropriate occupational information,

[0883] A means of providing real-time instructions and feedback using an information display device worn by the worker,

[0884] A system that includes this.

[0885] (Claim 2)

[0886] A means of analyzing information based on profiles during a meeting and summarizing important information,

[0887] The system according to claim 1, which displays the summary information on a user terminal in real time.

[0888] (Claim 3)

[0889] The system according to claim 1, which provides a support tool to optimize work efficiency in remote work using user characteristic information.

[0890] "Example 2 of combining an emotion engine"

[0891] (Claim 1)

[0892] A means for registering individual characteristics via a device that inputs functional information and emotional data,

[0893] A means of analyzing individual states using a generative AI model and providing optimal support measures,

[0894] A means of comparing individual characteristics with group requirements and determining appropriate agreement,

[0895] Means for notifying the device of the matching result and displaying related information,

[0896] A means for real-time acquisition and analysis of data using an emotion sensor,

[0897] A system that includes this.

[0898] (Claim 2)

[0899] The system according to claim 1, which analyzes data based on characteristic information during a meeting and summarizes the key points.

[0900] (Claim 3)

[0901] The system according to claim 1, which provides support technology for improving efficiency in remote work by fusing individual characteristic information and emotional data.

[0902] "Application example 2 when combining with an emotional engine"

[0903] (Claim 1)

[0904] A means of registering user characteristics via a user terminal into which ability information is entered,

[0905] A method for analyzing the user's weaknesses using generative artificial intelligence and providing optimal complementary solutions,

[0906] A means of comparing the characteristics of users with the requirements of an organization to determine appropriate suitability,

[0907] A means for notifying the user terminal of the aforementioned suitability result and displaying appropriate occupational information,

[0908] A means of providing visual feedback and real-time emotional support using smart devices, and adjusting work processes while considering the user's emotional state,

[0909] A system that includes this.

[0910] (Claim 2)

[0911] A means of analyzing information based on profiles during a meeting and summarizing important information,

[0912] The system according to claim 1, which displays the summary information on a user terminal in real time.

[0913] (Claim 3)

[0914] The system according to claim 1, which provides a support tool to optimize work efficiency in remote work using user characteristic information. [Explanation of Symbols]

[0915] 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 of registering user characteristics via a user terminal into which ability information is entered, A method for analyzing the user's weaknesses using generative artificial intelligence and providing optimal complementary solutions, A means of comparing the characteristics of users with the requirements of an organization to determine appropriate suitability, A means for notifying the user terminal of the aforementioned suitability result and displaying appropriate occupational information, A system that includes this.

2. A means of analyzing information based on profiles during a meeting and summarizing important information, The system according to claim 1, which displays the summary information on a user terminal in real time.

3. The system according to claim 1, which provides a support tool to optimize work efficiency in remote work using user characteristic information.

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