system

Abstract

We provide the system. [Solution] A means of receiving users' personal information and storing that information in a database, A means by which generative artificial intelligence analyzes a user's professional history and skills using stored information, A means of selecting candidate companies to propose the most suitable employment opportunities to users based on the analysis results, A means of presenting selected employment opportunities to users and accepting their selections, A means of sending application information to companies based on user selection, 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, the method including 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 as a response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] When retirees find a new occupation, there is a problem that it is difficult to determine how to make use of their skills and experience. In addition, it takes time and effort to find a suitable occupation from a large number of job offers, and efficient job hunting activities may become difficult. In order to solve such problems, means for supporting job matching that maximally utilizes the knowledge and experience of retirees are required.

Means for Solving the Problems

[0005] The present invention begins by providing a means for receiving a user's personal information and storing that information in a database. Subsequently, it provides a means for generative artificial intelligence to analyze the user's work history and skills using the stored information. This enables a means for selecting candidate companies to propose the most suitable employment opportunities to the user. These selected employment opportunities are presented to the user, and a means for accepting their selection further streamlines the matching process. Furthermore, a means for transmitting application information to companies based on the user's selection is provided, enabling a smooth job search. In addition, a means for encrypting the information entered by the user and storing it in the database ensures the security of personal information. In this way, the present invention provides a system to improve the efficiency and reliability of retirees finding new employment and being matched with appropriate companies.

[0006] "User personal information" refers to the collective information that users provide when registering for an online system, including their name, address, contact information, past work history, and skills.

[0007] A "database" is a system or software that stores information received from users in an organized and secure manner, and makes it quickly accessible when needed.

[0008] "Generative artificial intelligence" is an artificial intelligence technology that uses machine learning techniques to analyze input data and identify the most suitable occupation based on the user's skills and experience.

[0009] "Means of analysis" refers to the process or algorithm used to break down and evaluate data and derive recommended results based on that analysis.

[0010] "Employment opportunities" refer to the provision of job duties or positions by companies that are suitable for the user's skills and experience.

[0011] The "selection method" refers to the process of listing the most suitable candidate companies and occupations for the user based on the generated analysis results.

[0012] "Application information" refers to information that includes the user's expressed interest in a particular occupation or company, as well as specific application details.

[0013] "Encryption" is a technology that enhances the confidentiality of information by transforming the content of data according to certain rules so that it cannot be read by third parties. [Brief explanation of the drawing]

[0014] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13]It is a sequence diagram showing the processing flow of a data processing system in Embodiment 2 when combined with an emotion engine. [Figure 14] It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when combined with an emotion engine.

Mode for Carrying Out the Invention

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

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

[0017] In the following embodiments, a numbered 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, a numbered 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, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[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] The present invention's job matching platform utilizes generative artificial intelligence to analyze the skills and experience of retirees and propose optimal employment opportunities. This system begins with users inputting their personal information and work history from a terminal via a user-friendly interface and transmitting it to a server.

[0036] The server securely stores the received user information in a database. The information is protected using encryption to prevent data leaks. Furthermore, generative artificial intelligence analyzes the stored data and selects multiple employment opportunities based on the user's work history, skills, and preferences.

[0037] This generative artificial intelligence matches the user's skill set against an existing job database to determine the most suitable occupation. For example, if a user with extensive experience as a project manager registers, the AI ​​can use that experience to suggest the most suitable candidates, such as project management, consulting, or even senior positions in related industries.

[0038] The suggested results are displayed on the terminal, allowing the user to select employment opportunities that interest them. The server automatically sends application information to the companies the user has selected. This process ensures smooth communication with companies, enabling users to quickly find new employment.

[0039] Furthermore, this platform has the functionality to provide an interface that allows users to directly proceed with the application process to companies of their choice. This enables users to handle all procedures, from application to interview scheduling, in one centralized manner within the platform.

[0040] As described above, this system helps retirees make the most of their skills and experience and smoothly transition to their next career. As a result, it enables efficient and user-friendly job matching for users.

[0041] The following describes the processing flow.

[0042] Step 1:

[0043] The device displays a screen that collects data such as the user's personal information, work history, skills, and desired conditions. The user enters this information and presses the submit button.

[0044] Step 2:

[0045] The server receives user information sent from the terminal and securely stores that information in a database. During this process, the stored data is encrypted to enhance data security.

[0046] Step 3:

[0047] Generative artificial intelligence on the server analyzes stored user information. The AI ​​reads work history and skill sets and compares them with existing job data to identify suitable occupations for the user.

[0048] Step 4:

[0049] The server selects multiple job opportunities suitable for the user based on AI analysis results. This includes an optimization process that takes into account the degree of matching with company job postings and the user's desired conditions.

[0050] Step 5:

[0051] The device presents the user with a list of selected employment opportunities. Based on this list, the user can choose companies and occupations that interest them.

[0052] Step 6:

[0053] The server creates application information for the company selected by the user and sends it to the selected company. The application information includes necessary information such as the user's work history and skill set.

[0054] Step 7:

[0055] The server awaits responses from selected companies and provides users with a means to schedule interviews and provide additional information as needed. Users can manage the entire process within the platform.

[0056] (Example 1)

[0057] 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."

[0058] When older adults seek new employment opportunities after retirement, they often face challenges in fully utilizing their skills and experience, leading to inappropriate career choices. Therefore, there is a need to provide support to help them efficiently find suitable employment opportunities.

[0059] 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.

[0060] In this invention, the server includes means for receiving user-identifiable information and storing that information in a memory area, means for generative artificial intelligence to interpret the user's work history and skills using the stored information, and means for selecting candidates to propose the most suitable occupational opportunities to the user based on the interpretation results. This makes it possible for older adults to efficiently find new occupational opportunities by utilizing their skills and experience.

[0061] A "user" refers to an individual using a job matching platform to find new employment opportunities.

[0062] "Identifiable information" refers to data used to identify a user, such as personal information or work history.

[0063] "Memory space" refers to databases and storage systems used to store user-identifiable information.

[0064] "Generative artificial intelligence" refers to an artificial intelligence system that has the ability to analyze stored data and automatically generate suitable occupations and suggestions for the user.

[0065] "Interpretation" refers to the process by which generative artificial intelligence understands and evaluates data on a user's work history and skills.

[0066] "Candidates" refer to multiple job opportunities selected to be presented to users.

[0067] "Platform" refers to the hardware and software infrastructure that makes up the entire job matching system.

[0068] The embodiments for carrying out the present invention will now be described. This occupational matching system helps older adults efficiently find new employment opportunities after retirement. The entire system works in conjunction with users, terminals, and a server to centrally manage the process from data input to job suggestions and applications.

[0069] First, the user uses a terminal to input personal and work history information. The terminal provides an interface for information input (e.g., a web browser or a dedicated application) and transmits the entered data to the server using format verification and encryption protocols. Examples of encryption protocols used at this time include SSL / TLS.

[0070] The server securely stores the received data in storage. Relational database management systems (RDBMS) are used for storage, ensuring data consistency and security. The stored information is analyzed by generative artificial intelligence (AI). The generative AI model combines natural language processing (NLP) and machine learning algorithms to match the user's skill set with a database of job postings. This matching process selects the most suitable job opportunities based on the user's experience and preferences.

[0071] Selected job opportunities are sent from the server to the terminal and presented to the user. The terminal displays this information in an easy-to-read format, and the user selects job opportunities based on their interests and aptitudes. Once the user makes a selection, the server automatically sends the application information to the prospective employer based on that information. Appropriate communication protocols are used throughout this transmission process to maintain data integrity and security.

[0072] Furthermore, this platform provides an operating environment that allows users to directly manage the entire application process with prospective employers on their devices. This makes it easy to manage the application status, including scheduling interviews.

[0073] As a concrete example, you can input the following prompt into the AI:

[0074] "I have over 20 years of experience in project management and am eager to take on new projects. What kind of job would be best suited to this skill set?"

[0075] This system helps retirees make the most of their knowledge and experience, and expand their career options.

[0076] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0077] Step 1:

[0078] Users enter personal and work history information into the terminal. The input interface uses text boxes and selection menus to make it easy for users to enter information. Once the user has finished entering the information, the terminal validates the format of the information to ensure there are no errors. This input includes name, contact information, past jobs, and skill set.

[0079] Step 2:

[0080] The terminal encrypts the entered data and sends it to the server. The SSL / TLS protocol is used for encryption, ensuring secure data transfer. After sending, the terminal verifies that the data transmission was successful and notifies the user.

[0081] Step 3:

[0082] The server stores the received data in its storage area. During storage, a database management system is used to maintain data consistency and security. The stored data is recorded in a format necessary for future processing.

[0083] Step 4:

[0084] The server analyzes stored data using generative artificial intelligence. The AI ​​understands the user's work history and skills, and searches the database for job opportunities based on that information. This process utilizes NLP techniques and machine learning algorithms. Input includes user prompts and skill information, and the output generates a list of the most suitable job candidates.

[0085] Step 5:

[0086] The server sends the analysis results to the terminal. The terminal receives this and displays it to the user in an easy-to-read format. The input here is job candidate data from the AI, and the output is information presented to the user in a list format on the screen. The user selects a job of interest from the list.

[0087] Step 6:

[0088] When a user selects a job opportunity, the terminal sends that selection information back to the server. Based on this selection, the server automatically generates application information and prepares it for submission to the company. In this process, application documents suitable for the selected job are automatically created.

[0089] Step 7:

[0090] The server sends the user's application information and completes the process. The application is converted to the appropriate format and sent. After submission, the server verifies whether the application was successful and notifies the user of the result.

[0091] In this way, users can efficiently find job opportunities that match their skills and apply seamlessly.

[0092] (Application Example 1)

[0093] 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."

[0094] In modern society, there is a problem in that there are insufficient opportunities for re-employment that utilize the abundant experience and skills of retirees. Furthermore, because there are limited means of efficiently obtaining information on skill improvement and the acquisition of new technologies, retirees are unable to make the most of their abilities. There is a need to solve these problems and provide a system that enables retirees to efficiently find re-employment and acquire new skills.

[0095] 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.

[0096] In this invention, the server includes means for receiving user information and storing that information in a data storage device, means for generative intelligence to analyze the user's work history and skills using the stored information, and means for selecting a set of candidates to propose the most suitable job opportunities to the user based on the analysis results. This enables retirees to quickly find job opportunities that match their skills and to further develop their abilities by participating in virtual educational events to improve their job-related skills.

[0097] "User information" refers to personal data necessary for job matching, such as work history, skills, and personal attributes.

[0098] "Data storage device" refers to databases and cloud storage technologies used to securely store information.

[0099] "Generative intelligence" is an artificial intelligence technology that analyzes user information and proposes optimal job opportunities.

[0100] "Work history" refers to the content and duration of the jobs a user has held in the past, and the experience gained through those jobs.

[0101] "Skills" refer to the specific abilities or specialized skills that a user possesses in order to perform their job.

[0102] A "candidate set" refers to a list of job opportunities and positions selected based on the user's criteria.

[0103] "Corporate entity" refers to an organization that includes companies or groups that users wish to apply to.

[0104] "Application process" refers to the process by which a user formally applies for a specific job position.

[0105] The term "operation screen" refers to the interface used by users when applying for job opportunities.

[0106] A "virtual educational event" refers to a training session or seminar held online, aimed at improving users' skills.

[0107] The system for realizing this invention is designed to optimize user job matching using generative intelligence. A specific embodiment is described below.

[0108] The server receives data such as personal information, work history, and skills provided by users through their terminals, and stores this information in a data storage device for secure management. Encryption technology is used to protect the data and guarantee its confidentiality. Cloud storage services such as AWS® and Google® Cloud can be used here.

[0109] The server utilizes AI technologies such as OpenAI's GPT model and Google's Bard to analyze stored user data. Generative intelligence analyzes the user's work history and skills, and based on that, selects the most suitable job opportunities for the user from the job database.

[0110] The analysis results are presented to the user in an easy-to-understand manner, allowing them to select job opportunities and virtual educational events that interest them. The information selected by the user is automatically transmitted to the company by the server, ensuring a smooth application process.

[0111] For example, if a former engineer uses this system, the server can suggest suitable job opportunities, including project management and AI technology training, based on their work history. The system can also guide them to online seminars to improve their relevant skills, supporting further career development.

[0112] The following prompts are used when inputting data into the generative AI model:

[0113] "Please suggest suitable online jobs and workshops for former engineers who want to learn new skills after retirement."

[0114] In summary, this system allows retirees to utilize their experience and skills, find new job opportunities, and further develop their abilities.

[0115] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0116] Step 1:

[0117] The terminal prompts users to input personal information, work history, and skills information. This input data extracts key job-related information from personally identifiable information, securely encrypts it, and transmits it to the server. A user-friendly interface is used for the data input process.

[0118] Step 2:

[0119] The server receives encrypted user information transmitted from the terminal and securely stores it in a data storage device. During this process, the stored data is automatically updated in the database, ensuring consistency with past data.

[0120] Step 3:

[0121] The server begins analyzing the stored user information. This analysis uses generative AI models such as GPT and Bard to perform data calculations based on the user's work history and skills information. The input is user information, and the output of the analysis is a list of the most suitable job opportunities for the user.

[0122] Step 4:

[0123] The server generates a list of optimal job opportunities based on the analysis results and presents it to the user's terminal for easy review. The user can then review the presented job opportunities and suggested virtual training events and select those that interest them.

[0124] Step 5:

[0125] Once a user selects a job they are interested in, the server automatically initiates the application process to the company. It prepares the application information for the selected position and securely transmits it to the company, allowing the user to proceed smoothly through the application process.

[0126] Step 6:

[0127] Based on the user's selection, the server generates and displays information on suitable virtual educational events and skill-building programs on the terminal. The output information includes support information to help the user acquire further skills and develop their career.

[0128] 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.

[0129] The present invention provides a job matching platform that integrates generative artificial intelligence and an emotion engine to assist retirees in finding new employment opportunities. The system begins with a terminal where the user inputs their personal information, skills, and work history. The information received on the server side is encrypted and securely stored in a database.

[0130] Generative artificial intelligence analyzes stored user information and evaluates work history and skill sets to suggest the most suitable employment opportunities for the user. The process of selecting candidate companies and presenting them to the user based on this analysis is also performed on the server.

[0131] Furthermore, the emotion engine measures the user's emotions in real time and adjusts the feedback based on that data. For example, if a user is dissatisfied with the job opportunities presented, the emotion engine will adjust the system to suggest more appropriate job postings based on that perception. It can also understand the user's emotions when making choices and provide supportive and encouraging messages in situations where stress levels are high.

[0132] For example, if the system detects that a user is feeling anxious about a new challenge, it can provide encouragement to alleviate that anxiety or offer detailed information about areas of interest. This creates a flexible platform that supports user decision-making.

[0133] On the device, users can easily check feedback from an emotion engine, gaining confidence in their career choices. The process also includes the server sending application information to the user's selected candidate companies and waiting for responses from those companies. This entire flow allows users to experience an optimal career matching process tailored to their emotional state.

[0134] The following describes the processing flow.

[0135] Step 1:

[0136] The device displays a screen where the user can enter their personal information, work history, skills, and desired conditions. The user enters this information and presses the submit button.

[0137] Step 2:

[0138] The server receives user information sent from the terminal, encrypts that information, and stores it in the database. This ensures data security.

[0139] Step 3:

[0140] Generative artificial intelligence on the server analyzes stored user information. The AI ​​evaluates the user's work history and skills, and matches them with a job database to identify suitable job candidates.

[0141] Step 4:

[0142] The emotion engine analyzes the user's facial expressions and voice data in real time to recognize the user's emotional state. The recognized emotions are then fed back into the analysis process.

[0143] Step 5:

[0144] The server selects employment opportunities based on analysis results, taking into account the user's emotional state. It then adjusts the proposed content as needed, incorporating evaluations from the emotion engine.

[0145] Step 6:

[0146] The device presents the user with a list of selected employment opportunities. The user can review the suggested list and select companies or occupations that interest them.

[0147] Step 7:

[0148] The emotion engine re-measures the user's emotions based on their selections, and helps display encouraging messages or additional information on the device in high-stress situations.

[0149] Step 8:

[0150] The server creates application information for the company selected by the user and sends it to the company. This facilitates smooth communication between the user and the company.

[0151] Step 9:

[0152] The server notifies users when a company responds and arranges interviews as needed. It also allows users to check the progress of their application process on their devices.

[0153] (Example 2)

[0154] 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".

[0155] In today's rapidly advancing technological world, many workers find it difficult to find the optimal employment opportunities that match their professional experience and skills. Furthermore, in an aging society, retirees lack adequate support that takes their emotional needs into consideration when seeking new employment. Therefore, a system is needed that securely manages users' personal information and efficiently provides employment opportunities that take their emotions into account.

[0156] 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.

[0157] In this invention, the server includes means for receiving the user's personal information and storing that information in an information storage device, means for a generative data processing device to analyze the user's work history and skills using the stored information, and means for analyzing the user's emotions using an emotion analysis device and adjusting the information presented based on the analysis results. This makes it possible to efficiently provide the user with the most suitable employment opportunities, taking emotional aspects into consideration.

[0158] A "user" refers to an individual who uses this system to input personal information and participate in job matching.

[0159] "Personal information" refers to data about the user, such as name, contact information, work history, and skills.

[0160] An "information storage device" refers to a storage system, such as a database, that stores and securely keeps received information.

[0161] A "generative data processing device" refers to an AI system that analyzes input data and is used to find the most suitable employment opportunities for the user.

[0162] An "emotion analysis device" refers to a system that measures and evaluates emotions based on the user's facial expressions, input data, etc.

[0163] "Employment opportunities" refer to occupations and workplace positions suggested based on the user's work history and skills.

[0164] The term "operation screen" refers to an interactive interface that allows users to select occupations and complete application procedures through the system.

[0165] "Encoding" refers to the process of transforming information to enhance the security of transmitted and received data and protect it from unauthorized access.

[0166] The occupational matching platform of the present invention is a system designed to effectively integrate a generative AI model and an emotion analysis device to assist users in the process of finding the optimal employment opportunity. Embodiments thereof are described below.

[0167] Users first use a terminal to input their personal information, work history, and skills into the system. This data is then sent to the server. The terminal interface provides a user-friendly environment for data entry.

[0168] The server first encodes the received user information and securely stores it in a data storage device to prevent unauthorized access. Next, it begins analyzing the stored data using a generative AI model. The generative AI model evaluates the user's work history and skills to identify the best employment opportunities for them. As part of the analysis, the AI ​​generates prompt statements such as "Where are some workplaces where I can learn new technologies?" and derives appropriate candidates based on these prompts.

[0169] The emotion analysis device measures the user's emotions in real time while they are using their device and sends the results to a server. This allows the system to dynamically adjust the information presented based on the user's emotional state. For example, if the system detects that the user is feeling anxious about the job postings presented, it will provide supplementary information or messages to alleviate that anxiety.

[0170] By combining these elements, users can not only find the job that best suits them, but also proceed through the entire process with greater peace of mind. The information transmitted from the server to the terminal is always presented in a way that aligns with the user's emotional needs, allowing users to make decisions smoothly based on this information.

[0171] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0172] Step 1:

[0173] The user uses a device to input their personal information, work history, and skills. The device then transmits this data to the server. The entered data constitutes the basic information that makes up the user's profile, and this forms the basis for the next analysis step.

[0174] Step 2:

[0175] The server immediately encodes the received data and stores it in a secure data storage device. Encoding is a security process implemented to prevent data retrieval and unauthorized access. The output maintains the secure data format of the encoded data.

[0176] Step 3:

[0177] The server uses a generated AI model to analyze the stored data. The AI ​​model evaluates the input work history and skills, and based on that data, identifies suitable employment opportunities for the user. The output is a list of job candidates that best match the user's skills. For example, it can use a prompt like, "Where can I find a workplace to learn new technologies?" to generate candidates.

[0178] Step 4:

[0179] The server uses an emotion analysis device to measure the user's emotions in real time. It analyzes the user's facial expressions and actions while they are using the terminal and sends the emotion data back to the server. The output is data that reflects the user's emotional state.

[0180] Step 5:

[0181] The server uses emotion data to adjust job postings to match the user's emotions. For example, if a user expresses anxiety, additional information or messages are provided to alleviate that anxiety. The output is optimized job postings that take emotions into account.

[0182] Step 6:

[0183] The terminal displays job postings received from the server to the user, who then selects a job based on that information. Based on the job postings selected by the user, the server sends the necessary information to the organization to proceed with the application process. The output is a notification that the user has completed their application.

[0184] (Application Example 2)

[0185] 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".

[0186] When retirees seek new employment opportunities, they face challenges in receiving appropriate emotional support during the process of selecting candidates that match their skills and experience. Furthermore, in customer service roles, a lack of emotional awareness and personalized service delivery to address individual customer needs is also a significant challenge.

[0187] 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.

[0188] In this invention, the server includes means for receiving the user's personal data and storing that data in a storage device, means for using the stored data to enable generative artificial intelligence to evaluate the user's work history and skills, and means for analyzing the user's emotional data in real time and adjusting feedback based on that emotional data. This makes it possible to provide the user with appropriate job opportunities and emotional support, and to improve customer service in customer service operations.

[0189] "User personal data" refers to identifying and attribute information associated with individual users, including data such as the user's professional history, skills, and emotional state.

[0190] A "storage device" is a facility or system that can securely store data for a long period of time, and is capable of storing data in an encrypted format.

[0191] "Generative artificial intelligence" is a type of artificial intelligence that aims to derive new insights by performing advanced analysis and inference based on large amounts of data.

[0192] "Means of evaluation" refers to a process or device that analyzes data within a system and determines performance or status based on specific criteria.

[0193] "Emotional data" refers to data that indicates the emotional state estimated based on the user's facial expressions, voice tone, and other biometric information.

[0194] "Means of adjusting feedback" refer to processes and systems that dynamically change the information and messages presented to the user based on analyzed data.

[0195] "Customer service" refers to a series of activities performed in the process of providing goods and services to customers, including interactions with customers and the provision of information.

[0196] The system that realizes this application consists of a terminal owned by the user, a server, and a device used by the customer (e.g., smart glasses).

[0197] The server first receives the user's personal data and securely stores it in a storage device. The database has data encryption capabilities to ensure security. Next, the server uses generative artificial intelligence to perform an assessment based on the user's work history and skills. This assessment includes an algorithm that leverages the AI's data analysis capabilities to identify suitable job opportunities for the user.

[0198] Meanwhile, the user's terminal or device sends real-time user emotion data to the server. The server adjusts the feedback based on this emotion data. The emotion data is processed by emotion recognition software and designed to optimize the user experience. For example, to improve customer convenience during customer service, AI-driven message generation is used to provide personalized support based on customer responses.

[0199] As a concrete example, when a user engaged in customer service interacts with a customer, the user wears smart glasses. Through this device, the customer's facial expressions and tone of voice are analyzed in real time, and emotional data is sent to a server. As a result, the AI ​​displays the optimal response method, instantly instructing the user on how to support the customer. This enables the user to provide optimized customer service.

[0200] A concrete example of a prompt using a generative AI model is: "This customer looks somewhat anxious. Based on their purchase history, generate a product suggestion that will reassure them and a message to ease their feelings." This enhances the user's service delivery capabilities and enables a higher quality customer experience.

[0201] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0202] Step 1:

[0203] The user's device acquires personal data (such as work history, skills, and basic information) through an input interface. This data is securely transmitted to the server using a communication protocol. The input data includes the user ID and work history, and is encrypted for analysis on the server side.

[0204] Step 2:

[0205] The server decodes the received personal data and stores it in a database. Next, it uses a generative AI model to analyze the user's work history and skills. The analysis runs algorithms to identify the user's skill set and relevant job opportunities. As a result of the analysis, a list of suitable job opportunities is generated.

[0206] Step 3:

[0207] The server receives user emotional data in real time and performs emotional analysis based on this data. The input consists of the user's facial expressions and tone of voice, which the emotion engine analyzes. Based on the resulting emotional state, the feedback content is adjusted.

[0208] Step 4:

[0209] Based on the adjusted feedback and analysis results, the server generates job opportunity suggestions and sends them to the user's terminal. The output consists of job suggestions optimized for the user and messages tailored to the user's emotional state.

[0210] Step 5:

[0211] Users view suggested job opportunities on their device and select jobs that interest them. These selections are sent from the device to the server, and the user's application intention is recorded.

[0212] Step 6:

[0213] The server generates and sends application information to selected organizations based on the user's application intentions. It then waits for a response from the organizations and provides the user with a customized message. As a result, users can efficiently seek and receive proposals for the most suitable job opportunities.

[0214] 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.

[0215] 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.

[0216] 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.

[0217] [Second Embodiment]

[0218] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0219] 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.

[0220] 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).

[0221] 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.

[0222] 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.

[0223] 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).

[0224] 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.

[0225] 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.

[0226] 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.

[0227] 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.

[0228] 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.

[0229] 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".

[0230] The present invention's job matching platform utilizes generative artificial intelligence to analyze the skills and experience of retirees and propose optimal employment opportunities. This system begins with users inputting their personal information and work history from a terminal via a user-friendly interface and transmitting it to a server.

[0231] The server securely stores the received user information in a database. The information is protected using encryption to prevent data leaks. Furthermore, generative artificial intelligence analyzes the stored data and selects multiple employment opportunities based on the user's work history, skills, and preferences.

[0232] This generative artificial intelligence matches the user's skill set against an existing job database to determine the most suitable occupation. For example, if a user with extensive experience as a project manager registers, the AI ​​can use that experience to suggest the most suitable candidates, such as project management, consulting, or even senior positions in related industries.

[0233] The suggested results are displayed on the terminal, allowing the user to select employment opportunities that interest them. The server automatically sends application information to the companies the user has selected. This process ensures smooth communication with companies, enabling users to quickly find new employment.

[0234] Furthermore, this platform has the functionality to provide an interface that allows users to directly proceed with the application process to companies of their choice. This enables users to handle all procedures, from application to interview scheduling, in one centralized manner within the platform.

[0235] As described above, this system helps retirees make the most of their skills and experience and smoothly transition to their next career. As a result, it enables efficient and user-friendly job matching for users.

[0236] The following describes the processing flow.

[0237] Step 1:

[0238] The device displays a screen that collects data such as the user's personal information, work history, skills, and desired conditions. The user enters this information and presses the submit button.

[0239] Step 2:

[0240] The server receives user information sent from the terminal and securely stores that information in a database. During this process, the stored data is encrypted to enhance data security.

[0241] Step 3:

[0242] Generative artificial intelligence on the server analyzes stored user information. The AI ​​reads work history and skill sets and compares them with existing job data to identify suitable occupations for the user.

[0243] Step 4:

[0244] The server selects multiple job opportunities suitable for the user based on AI analysis results. This includes an optimization process that takes into account the degree of matching with company job postings and the user's desired conditions.

[0245] Step 5:

[0246] The device presents the user with a list of selected employment opportunities. Based on this list, the user can choose companies and occupations that interest them.

[0247] Step 6:

[0248] The server creates application information for the company selected by the user and sends it to the selected company. The application information includes necessary information such as the user's work history and skill set.

[0249] Step 7:

[0250] The server awaits responses from selected companies and provides users with a means to schedule interviews and provide additional information as needed. Users can manage the entire process within the platform.

[0251] (Example 1)

[0252] 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."

[0253] When older adults seek new employment opportunities after retirement, they often face challenges in fully utilizing their skills and experience, leading to inappropriate career choices. Therefore, there is a need to provide support to help them efficiently find suitable employment opportunities.

[0254] 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.

[0255] In this invention, the server includes means for receiving user-identifiable information and storing that information in a memory area, means for generative artificial intelligence to interpret the user's work history and skills using the stored information, and means for selecting candidates to propose the most suitable occupational opportunities to the user based on the interpretation results. This makes it possible for older adults to efficiently find new occupational opportunities by utilizing their skills and experience.

[0256] A "user" refers to an individual using a job matching platform to find new employment opportunities.

[0257] "Identifiable information" refers to data used to identify a user, such as personal information or work history.

[0258] "Memory space" refers to databases and storage systems used to store user-identifiable information.

[0259] "Generative artificial intelligence" refers to an artificial intelligence system that has the ability to analyze stored data and automatically generate suitable occupations and suggestions for the user.

[0260] "Interpretation" refers to the process by which generative artificial intelligence understands and evaluates data on a user's work history and skills.

[0261] "Candidates" refer to multiple job opportunities selected to be presented to users.

[0262] "Platform" refers to the hardware and software infrastructure that makes up the entire job matching system.

[0263] The embodiments for carrying out the present invention will now be described. This occupational matching system helps older adults efficiently find new employment opportunities after retirement. The entire system works in conjunction with users, terminals, and a server to centrally manage the process from data input to job suggestions and applications.

[0264] First, the user uses a terminal to input personal and work history information. The terminal provides an interface for information input (e.g., a web browser or a dedicated application) and transmits the entered data to the server using format verification and encryption protocols. Examples of encryption protocols used at this time include SSL / TLS.

[0265] The server securely stores the received data in storage. Relational database management systems (RDBMS) are used for storage, ensuring data consistency and security. The stored information is analyzed by generative artificial intelligence (AI). The generative AI model combines natural language processing (NLP) and machine learning algorithms to match the user's skill set with a database of job postings. This matching process selects the most suitable job opportunities based on the user's experience and preferences.

[0266] Selected job opportunities are sent from the server to the terminal and presented to the user. The terminal displays this information in an easy-to-read format, and the user selects job opportunities based on their interests and aptitudes. Once the user makes a selection, the server automatically sends the application information to the prospective employer based on that information. Appropriate communication protocols are used throughout this transmission process to maintain data integrity and security.

[0267] Furthermore, this platform provides an operating environment that allows users to directly manage the entire application process with prospective employers on their devices. This makes it easy to manage the application status, including scheduling interviews.

[0268] As a concrete example, you can input the following prompt into the AI:

[0269] "I have over 20 years of experience in project management and am eager to take on new projects. What kind of job would be best suited to this skill set?"

[0270] This system helps retirees make the most of their knowledge and experience, and expand their career options.

[0271] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0272] Step 1:

[0273] Users enter personal and work history information into the terminal. The input interface uses text boxes and selection menus to make it easy for users to enter information. Once the user has finished entering the information, the terminal validates the format of the information to ensure there are no errors. This input includes name, contact information, past jobs, and skill set.

[0274] Step 2:

[0275] The terminal encrypts the entered data and sends it to the server. The SSL / TLS protocol is used for encryption, ensuring secure data transfer. After sending, the terminal verifies that the data transmission was successful and notifies the user.

[0276] Step 3:

[0277] The server stores the received data in a storage area. When storing, it uses a database management system to maintain data consistency and security. The stored data is recorded in a state necessary for future processing.

[0278] Step 4:

[0279] The server analyzes the stored data using generative artificial intelligence. The AI understands the user's work history and skills and searches the database for career opportunities based on them. In this process, NLP technology and machine learning algorithms are used. The input includes the user's prompt text and skill information, and a list of optimal career candidates is generated as the output.

[0280] Step 5:

[0281] The server sends the analysis results to the terminal. The terminal receives this and displays it in an easy-to-view format for the user. The input here is the career candidate data from the AI, and the output is the information presented to the user in a list format on the screen. The user selects a career of interest from the list.

[0282] Step 6:

[0283] When the user selects a career opportunity, the terminal sends the selection information back to the server. The server, based on this selection, prepares to automatically generate application information and send it to the company. In this procedure, application documents suitable for the selected career are automatically created.

[0284] Step 7:

[0285] The server sends the user's application information and completes the process. The application is converted into an appropriate format and sent. After sending, the server checks whether the application was successful and notifies the user of the result.

[0286] In this way, the user can efficiently find career opportunities suitable for their skills and seamlessly complete the process up to applying.

[0287] (Application Example 1)

[0288] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart glasses 214 are referred to as a "terminal".

[0289] In modern society, there is a problem that sufficient opportunities for reemployment that make use of the rich experience and skills of retirees are not provided. In addition, since the means for efficiently obtaining information regarding skill improvement and acquisition of new technologies are limited, retirees are in a situation where they cannot fully utilize their abilities. There is a need to solve such problems and provide a mechanism that enables retirees to efficiently re-employ and acquire new skills.

[0290] 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.

[0291] In this invention, the server includes means for receiving user information and storing the information in a data storage device, means for using the stored information to analyze the user's work history and skills by generative intelligence, and means for selecting a candidate set for proposing the optimal job opportunity for the user based on the analysis result. As a result, retirees can quickly find job opportunities that match their skills, and can further develop their abilities by participating in virtual education events for skill improvement related to their jobs.

[0292] "User information" refers to personal data necessary for career matching, such as work history, skills, and personal attributes.

[0293] "Data storage device" refers to a database or cloud storage technology for securely storing information.

[0294] "Generative intelligence" is an artificial intelligence technology that analyzes user information and has a function of proposing optimal job opportunities.

[0295] "Work history" refers to the content and duration of the jobs a user has held in the past, and the experience gained through those jobs.

[0296] "Skills" refer to the specific abilities or specialized skills that a user possesses in order to perform their job.

[0297] A "candidate set" refers to a list of job opportunities and positions selected based on the user's criteria.

[0298] "Corporate entity" refers to an organization that includes companies or groups that users wish to apply to.

[0299] "Application process" refers to the process by which a user formally applies for a specific job position.

[0300] The term "operation screen" refers to the interface used by users when applying for job opportunities.

[0301] A "virtual educational event" refers to a training session or seminar held online, aimed at improving users' skills.

[0302] The system for realizing this invention is designed to optimize user job matching using generative intelligence. A specific embodiment is described below.

[0303] The server receives data such as personal information, work history, and skills provided by users through their terminals, and stores this information securely in a data storage device. Encryption technology is used to protect the data and guarantee its confidentiality. Cloud storage services such as AWS and Google Cloud can be used here.

[0304] When analyzing the saved user data, the server utilizes AI technologies such as OpenAI's GPT model and Google's Bard. The generative intelligence analyzes the user's job history and skills, and based on that, selects the most suitable job opportunities for the user from the job database.

[0305] The analysis results are presented to the user in an understandable manner, and the user can select job opportunities or virtual education events that they are interested in. The information selected by the user is automatically sent by the server to the company, enabling the application process to proceed smoothly.

[0306] As a specific example, when a former engineer uses this system, the server can propose job opportunities that include suitable project management and AI technology training based on his job history. In addition, the system guides him to online seminars for skill improvement related to him, and supports further career development.

[0307] When inputting into the generative AI model, the following prompt sentences are used:

[0308] "Please propose suitable online occupations and workshops for former engineers who want to learn new skills after retirement."

[0309] Through the above, this system enables retirees to utilize their experience and skills, find new job opportunities, and conduct further capacity development.

[0310] The flow of the specific process in Application Example 1 will be described using Figure 12.

[0311] Step 1:

[0312] The terminal allows the user to input personal information, job history, and skill information. This input data extracts key points related to the job from the personal identification information, securely encrypts the information, and sends it to the server. A user-friendly interface is used in the data input process.

[0313] Step 2:

[0314] The server receives encrypted user information transmitted from the terminal and securely stores it in a data storage device. During this process, the stored data is automatically updated in the database, ensuring consistency with past data.

[0315] Step 3:

[0316] The server begins analyzing the stored user information. This analysis uses generative AI models such as GPT and Bard to perform data calculations based on the user's work history and skills information. The input is user information, and the output of the analysis is a list of the most suitable job opportunities for the user.

[0317] Step 4:

[0318] The server generates a list of optimal job opportunities based on the analysis results and presents it to the user's terminal for easy review. The user can then review the presented job opportunities and suggested virtual training events and select those that interest them.

[0319] Step 5:

[0320] Once a user selects a job they are interested in, the server automatically initiates the application process to the company. It prepares the application information for the selected position and securely transmits it to the company, allowing the user to proceed smoothly through the application process.

[0321] Step 6:

[0322] Based on the user's selection, the server generates and displays information on suitable virtual educational events and skill-building programs on the terminal. The output information includes support information to help the user acquire further skills and develop their career.

[0323] 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.

[0324] The present invention provides a job matching platform that integrates generative artificial intelligence and an emotion engine to assist retirees in finding new employment opportunities. The system begins with a terminal where the user inputs their personal information, skills, and work history. The information received on the server side is encrypted and securely stored in a database.

[0325] Generative artificial intelligence analyzes stored user information and evaluates work history and skill sets to suggest the most suitable employment opportunities for the user. The process of selecting candidate companies and presenting them to the user based on this analysis is also performed on the server.

[0326] Furthermore, the emotion engine measures the user's emotions in real time and adjusts the feedback based on that data. For example, if a user is dissatisfied with the job opportunities presented, the emotion engine will adjust the system to suggest more appropriate job postings based on that perception. It can also understand the user's emotions when making choices and provide supportive and encouraging messages in situations where stress levels are high.

[0327] For example, if the system detects that a user is feeling anxious about a new challenge, it can provide encouragement to alleviate that anxiety or offer detailed information about areas of interest. This creates a flexible platform that supports user decision-making.

[0328] On the device, users can easily check feedback from an emotion engine, gaining confidence in their career choices. The process also includes the server sending application information to the user's selected candidate companies and waiting for responses from those companies. This entire flow allows users to experience an optimal career matching process tailored to their emotional state.

[0329] The following describes the processing flow.

[0330] Step 1:

[0331] The device displays a screen where the user can enter their personal information, work history, skills, and desired conditions. The user enters this information and presses the submit button.

[0332] Step 2:

[0333] The server receives user information sent from the terminal, encrypts that information, and stores it in the database. This ensures data security.

[0334] Step 3:

[0335] Generative artificial intelligence on the server analyzes stored user information. The AI ​​evaluates the user's work history and skills, and matches them with a job database to identify suitable job candidates.

[0336] Step 4:

[0337] The emotion engine analyzes the user's facial expressions and voice data in real time to recognize the user's emotional state. The recognized emotions are then fed back into the analysis process.

[0338] Step 5:

[0339] The server selects employment opportunities based on analysis results, taking into account the user's emotional state. It then adjusts the proposed content as needed, incorporating evaluations from the emotion engine.

[0340] Step 6:

[0341] The device presents the user with a list of selected employment opportunities. The user can review the suggested list and select companies or occupations that interest them.

[0342] Step 7:

[0343] The emotion engine re-measures the user's emotions based on their selections, and helps display encouraging messages or additional information on the device in high-stress situations.

[0344] Step 8:

[0345] The server creates application information for the company selected by the user and sends it to the company. This facilitates smooth communication between the user and the company.

[0346] Step 9:

[0347] The server notifies users when a company responds and arranges interviews as needed. It also allows users to check the progress of their application process on their devices.

[0348] (Example 2)

[0349] 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".

[0350] In today's rapidly advancing technological world, many workers find it difficult to find the optimal employment opportunities that match their professional experience and skills. Furthermore, in an aging society, retirees lack adequate support that takes their emotional needs into consideration when seeking new employment. Therefore, a system is needed that securely manages users' personal information and efficiently provides employment opportunities that take their emotions into account.

[0351] 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.

[0352] In this invention, the server includes means for receiving the user's personal information and storing that information in an information storage device, means for a generative data processing device to analyze the user's work history and skills using the stored information, and means for analyzing the user's emotions using an emotion analysis device and adjusting the information presented based on the analysis results. This makes it possible to efficiently provide the user with the most suitable employment opportunities, taking emotional aspects into consideration.

[0353] A "user" refers to an individual who uses this system to input personal information and participate in job matching.

[0354] "Personal information" refers to data about the user, such as name, contact information, work history, and skills.

[0355] An "information storage device" refers to a storage system, such as a database, that stores and securely keeps received information.

[0356] A "generative data processing device" refers to an AI system that analyzes input data and is used to find the most suitable employment opportunities for the user.

[0357] An "emotion analysis device" refers to a system that measures and evaluates emotions based on the user's facial expressions, input data, etc.

[0358] "Employment opportunities" refer to occupations and workplace positions suggested based on the user's work history and skills.

[0359] The term "operation screen" refers to an interactive interface that allows users to select occupations and complete application procedures through the system.

[0360] "Encoding" refers to the process of transforming information to enhance the security of transmitted and received data and protect it from unauthorized access.

[0361] The occupational matching platform of the present invention is a system designed to effectively integrate a generative AI model and an emotion analysis device to assist users in the process of finding the optimal employment opportunity. Embodiments thereof are described below.

[0362] Users first use a terminal to input their personal information, work history, and skills into the system. This data is then sent to the server. The terminal interface provides a user-friendly environment for data entry.

[0363] The server first encodes the received user information and securely stores it in a data storage device to prevent unauthorized access. Next, it begins analyzing the stored data using a generative AI model. The generative AI model evaluates the user's work history and skills to identify the best employment opportunities for them. As part of the analysis, the AI ​​generates prompt statements such as "Where are some workplaces where I can learn new technologies?" and derives appropriate candidates based on these prompts.

[0364] The emotion analysis device measures the user's emotions in real time while they are using their device and sends the results to a server. This allows the system to dynamically adjust the information presented based on the user's emotional state. For example, if the system detects that the user is feeling anxious about the job postings presented, it will provide supplementary information or messages to alleviate that anxiety.

[0365] By combining these elements, users can not only find the job that best suits them, but also proceed through the entire process with greater peace of mind. The information transmitted from the server to the terminal is always presented in a way that aligns with the user's emotional needs, allowing users to make decisions smoothly based on this information.

[0366] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0367] Step 1:

[0368] The user uses a device to input their personal information, work history, and skills. The device then transmits this data to the server. The entered data constitutes the basic information that makes up the user's profile, and this forms the basis for the next analysis step.

[0369] Step 2:

[0370] The server immediately encodes the received data and stores it in a secure data storage device. Encoding is a security process implemented to prevent data retrieval and unauthorized access. The output maintains the secure data format of the encoded data.

[0371] Step 3:

[0372] The server uses a generated AI model to analyze the stored data. The AI ​​model evaluates the input work history and skills, and based on that data, identifies suitable employment opportunities for the user. The output is a list of job candidates that best match the user's skills. For example, it can use a prompt like, "Where can I find a workplace to learn new technologies?" to generate candidates.

[0373] Step 4:

[0374] The server uses an emotion analysis device to measure the user's emotions in real time. It analyzes the user's facial expressions and actions while they are using the terminal and sends the emotion data back to the server. The output is data that reflects the user's emotional state.

[0375] Step 5:

[0376] The server uses emotion data to adjust job postings to match the user's emotions. For example, if a user expresses anxiety, additional information or messages are provided to alleviate that anxiety. The output is optimized job postings that take emotions into account.

[0377] Step 6:

[0378] The terminal displays job postings received from the server to the user, who then selects a job based on that information. Based on the job postings selected by the user, the server sends the necessary information to the organization to proceed with the application process. The output is a notification that the user has completed their application.

[0379] (Application Example 2)

[0380] 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."

[0381] When retirees seek new employment opportunities, they face challenges in receiving appropriate emotional support during the process of selecting candidates that match their skills and experience. Furthermore, in customer service roles, a lack of emotional awareness and personalized service delivery to address individual customer needs is also a significant challenge.

[0382] 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.

[0383] In this invention, the server includes means for receiving the user's personal data and storing that data in a storage device, means for using the stored data to enable generative artificial intelligence to evaluate the user's work history and skills, and means for analyzing the user's emotional data in real time and adjusting feedback based on that emotional data. This makes it possible to provide the user with appropriate job opportunities and emotional support, and to improve customer service in customer service operations.

[0384] "User personal data" refers to identifying and attribute information associated with individual users, including data such as the user's professional history, skills, and emotional state.

[0385] A "storage device" is a facility or system that can securely store data for a long period of time, and is capable of storing data in an encrypted format.

[0386] "Generative artificial intelligence" is a type of artificial intelligence that aims to derive new insights by performing advanced analysis and inference based on large amounts of data.

[0387] "Means of evaluation" refers to a process or device that analyzes data within a system and determines performance or status based on specific criteria.

[0388] "Emotional data" refers to data that indicates the emotional state estimated based on the user's facial expressions, voice tone, and other biometric information.

[0389] "Means of adjusting feedback" refer to processes and systems that dynamically change the information and messages presented to the user based on analyzed data.

[0390] "Customer service" refers to a series of activities performed in the process of providing goods and services to customers, including interactions with customers and the provision of information.

[0391] The system that realizes this application consists of a terminal owned by the user, a server, and a device used by the customer (e.g., smart glasses).

[0392] The server first receives the user's personal data and securely stores it in a storage device. The database has data encryption capabilities to ensure security. Next, the server uses generative artificial intelligence to perform an assessment based on the user's work history and skills. This assessment includes an algorithm that leverages the AI's data analysis capabilities to identify suitable job opportunities for the user.

[0393] Meanwhile, the user's terminal or device sends real-time user emotion data to the server. The server adjusts the feedback based on this emotion data. The emotion data is processed by emotion recognition software and designed to optimize the user experience. For example, to improve customer convenience during customer service, AI-driven message generation is used to provide personalized support based on customer responses.

[0394] As a concrete example, when a user engaged in customer service interacts with a customer, the user wears smart glasses. Through this device, the customer's facial expressions and tone of voice are analyzed in real time, and emotional data is sent to a server. As a result, the AI ​​displays the optimal response method, instantly instructing the user on how to support the customer. This enables the user to provide optimized customer service.

[0395] A concrete example of a prompt using a generative AI model is: "This customer looks somewhat anxious. Based on their purchase history, generate a product suggestion that will reassure them and a message to ease their feelings." This enhances the user's service delivery capabilities and enables a higher quality customer experience.

[0396] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0397] Step 1:

[0398] The user's device acquires personal data (such as work history, skills, and basic information) through an input interface. This data is securely transmitted to the server using a communication protocol. The input data includes the user ID and work history, and is encrypted for analysis on the server side.

[0399] Step 2:

[0400] The server decodes the received personal data and stores it in a database. Next, it uses a generative AI model to analyze the user's work history and skills. The analysis runs algorithms to identify the user's skill set and relevant job opportunities. As a result of the analysis, a list of suitable job opportunities is generated.

[0401] Step 3:

[0402] The server receives user emotional data in real time and performs emotional analysis based on this data. The input consists of the user's facial expressions and tone of voice, which the emotion engine analyzes. Based on the resulting emotional state, the feedback content is adjusted.

[0403] Step 4:

[0404] Based on the adjusted feedback and analysis results, the server generates job opportunity suggestions and sends them to the user's terminal. The output consists of job suggestions optimized for the user and messages tailored to the user's emotional state.

[0405] Step 5:

[0406] Users view suggested job opportunities on their device and select jobs that interest them. These selections are sent from the device to the server, and the user's application intention is recorded.

[0407] Step 6:

[0408] The server generates and sends application information to selected organizations based on the user's application intentions. It then waits for a response from the organizations and provides the user with a customized message. As a result, users can efficiently seek and receive proposals for the most suitable job opportunities.

[0409] 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.

[0410] 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.

[0411] 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.

[0412] [Third Embodiment]

[0413] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0414] 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.

[0415] 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).

[0416] 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.

[0417] 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.

[0418] 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).

[0419] 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.

[0420] 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.

[0421] 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.

[0422] 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.

[0423] 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.

[0424] 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".

[0425] The present invention's job matching platform utilizes generative artificial intelligence to analyze the skills and experience of retirees and propose optimal employment opportunities. This system begins with users inputting their personal information and work history from a terminal via a user-friendly interface and transmitting it to a server.

[0426] The server securely stores the received user information in a database. The information is protected using encryption to prevent data leaks. Furthermore, generative artificial intelligence analyzes the stored data and selects multiple employment opportunities based on the user's work history, skills, and preferences.

[0427] This generative artificial intelligence matches the user's skill set against an existing job database to determine the most suitable occupation. For example, if a user with extensive experience as a project manager registers, the AI ​​can use that experience to suggest the most suitable candidates, such as project management, consulting, or even senior positions in related industries.

[0428] The suggested results are displayed on the terminal, allowing the user to select employment opportunities that interest them. The server automatically sends application information to the companies the user has selected. This process ensures smooth communication with companies, enabling users to quickly find new employment.

[0429] Furthermore, this platform has the functionality to provide an interface that allows users to directly proceed with the application process to companies of their choice. This enables users to handle all procedures, from application to interview scheduling, in one centralized manner within the platform.

[0430] As described above, this system helps retirees make the most of their skills and experience and smoothly transition to their next career. As a result, it enables efficient and user-friendly job matching for users.

[0431] The following describes the processing flow.

[0432] Step 1:

[0433] The device displays a screen that collects data such as the user's personal information, work history, skills, and desired conditions. The user enters this information and presses the submit button.

[0434] Step 2:

[0435] The server receives user information sent from the terminal and securely stores that information in a database. During this process, the stored data is encrypted to enhance data security.

[0436] Step 3:

[0437] Generative artificial intelligence on the server analyzes stored user information. The AI ​​reads work history and skill sets and compares them with existing job data to identify suitable occupations for the user.

[0438] Step 4:

[0439] The server selects multiple job opportunities suitable for the user based on AI analysis results. This includes an optimization process that takes into account the degree of matching with company job postings and the user's desired conditions.

[0440] Step 5:

[0441] The device presents the user with a list of selected employment opportunities. Based on this list, the user can choose companies and occupations that interest them.

[0442] Step 6:

[0443] The server creates application information for the company selected by the user and sends it to the selected company. The application information includes necessary information such as the user's work history and skill set.

[0444] Step 7:

[0445] The server awaits responses from selected companies and provides users with a means to schedule interviews and provide additional information as needed. Users can manage the entire process within the platform.

[0446] (Example 1)

[0447] 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."

[0448] When older adults seek new employment opportunities after retirement, they often face challenges in fully utilizing their skills and experience, leading to inappropriate career choices. Therefore, there is a need to provide support to help them efficiently find suitable employment opportunities.

[0449] 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.

[0450] In this invention, the server includes means for receiving user-identifiable information and storing that information in a memory area, means for generative artificial intelligence to interpret the user's work history and skills using the stored information, and means for selecting candidates to propose the most suitable occupational opportunities to the user based on the interpretation results. This makes it possible for older adults to efficiently find new occupational opportunities by utilizing their skills and experience.

[0451] A "user" refers to an individual using a job matching platform to find new employment opportunities.

[0452] "Identifiable information" refers to data used to identify a user, such as personal information or work history.

[0453] "Memory space" refers to databases and storage systems used to store user-identifiable information.

[0454] "Generative artificial intelligence" refers to an artificial intelligence system that has the ability to analyze stored data and automatically generate suitable occupations and suggestions for the user.

[0455] "Interpretation" refers to the process by which generative artificial intelligence understands and evaluates data on a user's work history and skills.

[0456] "Candidates" refer to multiple job opportunities selected to be presented to users.

[0457] "Platform" refers to the hardware and software infrastructure that makes up the entire job matching system.

[0458] The embodiments for carrying out the present invention will now be described. This occupational matching system helps older adults efficiently find new employment opportunities after retirement. The entire system works in conjunction with users, terminals, and a server to centrally manage the process from data input to job suggestions and applications.

[0459] First, the user uses a terminal to input personal and work history information. The terminal provides an interface for information input (e.g., a web browser or a dedicated application) and transmits the entered data to the server using format verification and encryption protocols. Examples of encryption protocols used at this time include SSL / TLS.

[0460] The server securely stores the received data in storage. Relational database management systems (RDBMS) are used for storage, ensuring data consistency and security. The stored information is analyzed by generative artificial intelligence (AI). The generative AI model combines natural language processing (NLP) and machine learning algorithms to match the user's skill set with a database of job postings. This matching process selects the most suitable job opportunities based on the user's experience and preferences.

[0461] Selected job opportunities are sent from the server to the terminal and presented to the user. The terminal displays this information in an easy-to-read format, and the user selects job opportunities based on their interests and aptitudes. Once the user makes a selection, the server automatically sends the application information to the prospective employer based on that information. Appropriate communication protocols are used throughout this transmission process to maintain data integrity and security.

[0462] Furthermore, this platform provides an operating environment that allows users to directly manage the entire application process with prospective employers on their devices. This makes it easy to manage the application status, including scheduling interviews.

[0463] As a concrete example, you can input the following prompt into the AI:

[0464] "I have over 20 years of experience in project management and am eager to take on new projects. What kind of job would be best suited to this skill set?"

[0465] This system helps retirees make the most of their knowledge and experience, and expand their career options.

[0466] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0467] Step 1:

[0468] Users enter personal and work history information into the terminal. The input interface uses text boxes and selection menus to make it easy for users to enter information. Once the user has finished entering the information, the terminal validates the format of the information to ensure there are no errors. This input includes name, contact information, past jobs, and skill set.

[0469] Step 2:

[0470] The terminal encrypts the entered data and sends it to the server. The SSL / TLS protocol is used for encryption, ensuring secure data transfer. After sending, the terminal verifies that the data transmission was successful and notifies the user.

[0471] Step 3:

[0472] The server stores the received data in its storage area. During storage, a database management system is used to maintain data consistency and security. The stored data is recorded in a format necessary for future processing.

[0473] Step 4:

[0474] The server analyzes stored data using generative artificial intelligence. The AI ​​understands the user's work history and skills, and searches the database for job opportunities based on that information. This process utilizes NLP techniques and machine learning algorithms. Input includes user prompts and skill information, and the output generates a list of the most suitable job candidates.

[0475] Step 5:

[0476] The server sends the analysis results to the terminal. The terminal receives this and displays it to the user in an easy-to-read format. The input here is job candidate data from the AI, and the output is information presented to the user in a list format on the screen. The user selects a job of interest from the list.

[0477] Step 6:

[0478] When a user selects a job opportunity, the terminal sends that selection information back to the server. Based on this selection, the server automatically generates application information and prepares it for submission to the company. In this process, application documents suitable for the selected job are automatically created.

[0479] Step 7:

[0480] The server sends the user's application information and completes the process. The application is converted to the appropriate format and sent. After submission, the server verifies whether the application was successful and notifies the user of the result.

[0481] In this way, users can efficiently find job opportunities that match their skills and apply seamlessly.

[0482] (Application Example 1)

[0483] 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."

[0484] In modern society, there is a problem in that there are insufficient opportunities for re-employment that utilize the abundant experience and skills of retirees. Furthermore, because there are limited means of efficiently obtaining information on skill improvement and the acquisition of new technologies, retirees are unable to make the most of their abilities. There is a need to solve these problems and provide a system that enables retirees to efficiently find re-employment and acquire new skills.

[0485] 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.

[0486] In this invention, the server includes means for receiving user information and storing that information in a data storage device, means for generative intelligence to analyze the user's work history and skills using the stored information, and means for selecting a set of candidates to propose the most suitable job opportunities to the user based on the analysis results. This enables retirees to quickly find job opportunities that match their skills and to further develop their abilities by participating in virtual educational events to improve their job-related skills.

[0487] "User information" refers to personal data necessary for job matching, such as work history, skills, and personal attributes.

[0488] "Data storage device" refers to databases and cloud storage technologies used to securely store information.

[0489] "Generative intelligence" is an artificial intelligence technology that analyzes user information and proposes optimal job opportunities.

[0490] "Work history" refers to the content and duration of the jobs a user has held in the past, and the experience gained through those jobs.

[0491] "Skills" refer to the specific abilities or specialized skills that a user possesses in order to perform their job.

[0492] A "candidate set" refers to a list of job opportunities and positions selected based on the user's criteria.

[0493] "Corporate entity" refers to an organization that includes companies or groups that users wish to apply to.

[0494] "Application process" refers to the process by which a user formally applies for a specific job position.

[0495] The term "operation screen" refers to the interface used by users when applying for job opportunities.

[0496] A "virtual educational event" refers to a training session or seminar held online, aimed at improving users' skills.

[0497] The system for realizing this invention is designed to optimize user job matching using generative intelligence. A specific embodiment is described below.

[0498] The server receives data such as personal information, work history, and skills provided by users through their terminals, and stores this information securely in a data storage device. Encryption technology is used to protect the data and guarantee its confidentiality. Cloud storage services such as AWS and Google Cloud can be used here.

[0499] The server utilizes AI technologies such as OpenAI's GPT model and Google's Bard to analyze stored user data. Generative intelligence analyzes the user's work history and skills, and based on that, selects the most suitable job opportunities from the job database.

[0500] The analysis results are presented to the user in an easy-to-understand manner, allowing them to select job opportunities and virtual educational events that interest them. The information selected by the user is automatically transmitted to the company by the server, ensuring a smooth application process.

[0501] For example, if a former engineer uses this system, the server can suggest suitable job opportunities, including project management and AI technology training, based on their work history. The system can also guide them to online seminars to improve their relevant skills, supporting further career development.

[0502] The following prompts are used when inputting data into the generative AI model:

[0503] "Please suggest suitable online jobs and workshops for former engineers who want to learn new skills after retirement."

[0504] In summary, this system allows retirees to utilize their experience and skills, find new job opportunities, and further develop their abilities.

[0505] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0506] Step 1:

[0507] The terminal prompts users to input personal information, work history, and skills information. This input data extracts key job-related information from personally identifiable information, securely encrypts it, and transmits it to the server. A user-friendly interface is used for the data input process.

[0508] Step 2:

[0509] The server receives encrypted user information transmitted from the terminal and securely stores it in a data storage device. During this process, the stored data is automatically updated in the database, ensuring consistency with past data.

[0510] Step 3:

[0511] The server begins analyzing the stored user information. This analysis uses generative AI models such as GPT and Bard to perform data calculations based on the user's work history and skills information. The input is user information, and the output of the analysis is a list of the most suitable job opportunities for the user.

[0512] Step 4:

[0513] The server generates a list of optimal job opportunities based on the analysis results and presents it to the user's terminal for easy review. The user can then review the presented job opportunities and suggested virtual training events and select those that interest them.

[0514] Step 5:

[0515] Once a user selects a job they are interested in, the server automatically initiates the application process to the company. It prepares the application information for the selected position and securely transmits it to the company, allowing the user to proceed smoothly through the application process.

[0516] Step 6:

[0517] Based on the user's selection, the server generates and displays information on suitable virtual educational events and skill-building programs on the terminal. The output information includes support information to help the user acquire further skills and develop their career.

[0518] 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.

[0519] The present invention provides a job matching platform that integrates generative artificial intelligence and an emotion engine to assist retirees in finding new employment opportunities. The system begins with a terminal where the user inputs their personal information, skills, and work history. The information received on the server side is encrypted and securely stored in a database.

[0520] Generative artificial intelligence analyzes stored user information and evaluates work history and skill sets to suggest the most suitable employment opportunities for the user. The process of selecting candidate companies and presenting them to the user based on this analysis is also performed on the server.

[0521] Furthermore, the emotion engine measures the user's emotions in real time and adjusts the feedback based on that data. For example, if a user is dissatisfied with the job opportunities presented, the emotion engine will adjust the system to suggest more appropriate job postings based on that perception. It can also understand the user's emotions when making choices and provide supportive and encouraging messages in situations where stress levels are high.

[0522] For example, if the system detects that a user is feeling anxious about a new challenge, it can provide encouragement to alleviate that anxiety or offer detailed information about areas of interest. This creates a flexible platform that supports user decision-making.

[0523] On the device, users can easily check feedback from an emotion engine, gaining confidence in their career choices. The process also includes the server sending application information to the user's selected candidate companies and waiting for responses from those companies. This entire flow allows users to experience an optimal career matching process tailored to their emotional state.

[0524] The following describes the processing flow.

[0525] Step 1:

[0526] The device displays a screen where the user can enter their personal information, work history, skills, and desired conditions. The user enters this information and presses the submit button.

[0527] Step 2:

[0528] The server receives user information sent from the terminal, encrypts that information, and stores it in the database. This ensures data security.

[0529] Step 3:

[0530] Generative artificial intelligence on the server analyzes stored user information. The AI ​​evaluates the user's work history and skills, and matches them with a job database to identify suitable job candidates.

[0531] Step 4:

[0532] The emotion engine analyzes the user's facial expressions and voice data in real time to recognize the user's emotional state. The recognized emotions are then fed back into the analysis process.

[0533] Step 5:

[0534] The server selects employment opportunities based on analysis results, taking into account the user's emotional state. It then adjusts the proposed content as needed, incorporating evaluations from the emotion engine.

[0535] Step 6:

[0536] The device presents the user with a list of selected employment opportunities. The user can review the suggested list and select companies or occupations that interest them.

[0537] Step 7:

[0538] The emotion engine re-measures the user's emotions based on their selections, and helps display encouraging messages or additional information on the device in high-stress situations.

[0539] Step 8:

[0540] The server creates application information for the company selected by the user and sends it to the company. This facilitates smooth communication between the user and the company.

[0541] Step 9:

[0542] The server notifies users when a company responds and arranges interviews as needed. It also allows users to check the progress of their application process on their devices.

[0543] (Example 2)

[0544] 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."

[0545] In today's rapidly advancing technological world, many workers find it difficult to find the optimal employment opportunities that match their professional experience and skills. Furthermore, in an aging society, retirees lack adequate support that takes their emotional needs into consideration when seeking new employment. Therefore, a system is needed that securely manages users' personal information and efficiently provides employment opportunities that take their emotions into account.

[0546] 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.

[0547] In this invention, the server includes means for receiving the user's personal information and storing that information in an information storage device, means for a generative data processing device to analyze the user's work history and skills using the stored information, and means for analyzing the user's emotions using an emotion analysis device and adjusting the information presented based on the analysis results. This makes it possible to efficiently provide the user with the most suitable employment opportunities, taking emotional aspects into consideration.

[0548] A "user" refers to an individual who uses this system to input personal information and participate in job matching.

[0549] "Personal information" refers to data about the user, such as name, contact information, work history, and skills.

[0550] An "information storage device" refers to a storage system, such as a database, that stores and securely keeps received information.

[0551] A "generative data processing device" refers to an AI system that analyzes input data and is used to find the most suitable employment opportunities for the user.

[0552] An "emotion analysis device" refers to a system that measures and evaluates emotions based on the user's facial expressions, input data, etc.

[0553] "Employment opportunities" refer to occupations and workplace positions suggested based on the user's work history and skills.

[0554] The term "operation screen" refers to an interactive interface that allows users to select occupations and complete application procedures through the system.

[0555] "Encoding" refers to the process of transforming information to enhance the security of transmitted and received data and protect it from unauthorized access.

[0556] The occupational matching platform of the present invention is a system designed to effectively integrate a generative AI model and an emotion analysis device to assist users in the process of finding the optimal employment opportunity. Embodiments thereof are described below.

[0557] Users first use a terminal to input their personal information, work history, and skills into the system. This data is then sent to the server. The terminal interface provides a user-friendly environment for data entry.

[0558] The server first encodes the received user information and securely stores it in a data storage device to prevent unauthorized access. Next, it begins analyzing the stored data using a generative AI model. The generative AI model evaluates the user's work history and skills to identify the best employment opportunities for them. As part of the analysis, the AI ​​generates prompt statements such as "Where are some workplaces where I can learn new technologies?" and derives appropriate candidates based on these prompts.

[0559] The emotion analysis device measures the user's emotions in real time while they are using their device and sends the results to a server. This allows the system to dynamically adjust the information presented based on the user's emotional state. For example, if the system detects that the user is feeling anxious about the job postings presented, it will provide supplementary information or messages to alleviate that anxiety.

[0560] By combining these elements, users can not only find the job that best suits them, but also proceed through the entire process with greater peace of mind. The information transmitted from the server to the terminal is always presented in a way that aligns with the user's emotional needs, allowing users to make decisions smoothly based on this information.

[0561] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0562] Step 1:

[0563] The user uses a device to input their personal information, work history, and skills. The device then transmits this data to the server. The entered data constitutes the basic information that makes up the user's profile, and this forms the basis for the next analysis step.

[0564] Step 2:

[0565] The server immediately encodes the received data and stores it in a secure data storage device. Encoding is a security process implemented to prevent data retrieval and unauthorized access. The output maintains the secure data format of the encoded data.

[0566] Step 3:

[0567] The server uses a generated AI model to analyze the stored data. The AI ​​model evaluates the input work history and skills, and based on that data, identifies suitable employment opportunities for the user. The output is a list of job candidates that best match the user's skills. For example, it can use a prompt like, "Where can I find a workplace to learn new technologies?" to generate candidates.

[0568] Step 4:

[0569] The server uses an emotion analysis device to measure the user's emotions in real time. It analyzes the user's facial expressions and actions while they are using the terminal and sends the emotion data back to the server. The output is data that reflects the user's emotional state.

[0570] Step 5:

[0571] The server uses emotion data to adjust job postings to match the user's emotions. For example, if a user expresses anxiety, additional information or messages are provided to alleviate that anxiety. The output is optimized job postings that take emotions into account.

[0572] Step 6:

[0573] The terminal displays job postings received from the server to the user, who then selects a job based on that information. Based on the job postings selected by the user, the server sends the necessary information to the organization to proceed with the application process. The output is a notification that the user has completed their application.

[0574] (Application Example 2)

[0575] 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."

[0576] When retirees seek new employment opportunities, they face challenges in receiving appropriate emotional support during the process of selecting candidates that match their skills and experience. Furthermore, in customer service roles, a lack of emotional awareness and personalized service delivery to address individual customer needs is also a significant challenge.

[0577] 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.

[0578] In this invention, the server includes means for receiving the user's personal data and storing that data in a storage device, means for using the stored data to enable generative artificial intelligence to evaluate the user's work history and skills, and means for analyzing the user's emotional data in real time and adjusting feedback based on that emotional data. This makes it possible to provide the user with appropriate job opportunities and emotional support, and to improve customer service in customer service operations.

[0579] "User personal data" refers to identifying and attribute information associated with individual users, including data such as the user's professional history, skills, and emotional state.

[0580] A "storage device" is a facility or system that can securely store data for a long period of time, and is capable of storing data in an encrypted format.

[0581] "Generative artificial intelligence" is a type of artificial intelligence that aims to derive new insights by performing advanced analysis and inference based on large amounts of data.

[0582] "Means of evaluation" refers to a process or device that analyzes data within a system and determines performance or status based on specific criteria.

[0583] "Emotional data" refers to data that indicates the emotional state estimated based on the user's facial expressions, voice tone, and other biometric information.

[0584] "Means of adjusting feedback" refer to processes and systems that dynamically change the information and messages presented to the user based on analyzed data.

[0585] "Customer service" refers to a series of activities performed in the process of providing goods and services to customers, including interactions with customers and the provision of information.

[0586] The system that realizes this application consists of a terminal owned by the user, a server, and a device used by the customer (e.g., smart glasses).

[0587] The server first receives the user's personal data and securely stores it in a storage device. The database has data encryption capabilities to ensure security. Next, the server uses generative artificial intelligence to perform an assessment based on the user's work history and skills. This assessment includes an algorithm that leverages the AI's data analysis capabilities to identify suitable job opportunities for the user.

[0588] Meanwhile, the user's terminal or device sends real-time user emotion data to the server. The server adjusts the feedback based on this emotion data. The emotion data is processed by emotion recognition software and designed to optimize the user experience. For example, to improve customer convenience during customer service, AI-driven message generation is used to provide personalized support based on customer responses.

[0589] As a concrete example, when a user engaged in customer service interacts with a customer, the user wears smart glasses. Through this device, the customer's facial expressions and tone of voice are analyzed in real time, and emotional data is sent to a server. As a result, the AI ​​displays the optimal response method, instantly instructing the user on how to support the customer. This enables the user to provide optimized customer service.

[0590] A concrete example of a prompt using a generative AI model is: "This customer looks somewhat anxious. Based on their purchase history, generate a product suggestion that will reassure them and a message to ease their feelings." This enhances the user's service delivery capabilities and enables a higher quality customer experience.

[0591] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0592] Step 1:

[0593] The user's device acquires personal data (such as work history, skills, and basic information) through an input interface. This data is securely transmitted to the server using a communication protocol. The input data includes the user ID and work history, and is encrypted for analysis on the server side.

[0594] Step 2:

[0595] The server decodes the received personal data and stores it in a database. Next, it uses a generative AI model to analyze the user's work history and skills. The analysis runs algorithms to identify the user's skill set and relevant job opportunities. As a result of the analysis, a list of suitable job opportunities is generated.

[0596] Step 3:

[0597] The server receives user emotional data in real time and performs emotional analysis based on this data. The input consists of the user's facial expressions and tone of voice, which the emotion engine analyzes. Based on the resulting emotional state, the feedback content is adjusted.

[0598] Step 4:

[0599] Based on the adjusted feedback and analysis results, the server generates job opportunity suggestions and sends them to the user's terminal. The output consists of job suggestions optimized for the user and messages tailored to the user's emotional state.

[0600] Step 5:

[0601] Users view suggested job opportunities on their device and select jobs that interest them. These selections are sent from the device to the server, and the user's application intention is recorded.

[0602] Step 6:

[0603] The server generates and sends application information to selected organizations based on the user's application intentions. It then waits for a response from the organizations and provides the user with a customized message. As a result, users can efficiently seek and receive proposals for the most suitable job opportunities.

[0604] 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.

[0605] 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.

[0606] 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.

[0607] [Fourth Embodiment]

[0608] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0609] 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.

[0610] 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).

[0611] 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.

[0612] 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.

[0613] 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).

[0614] 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.

[0615] 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.

[0616] 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.

[0617] 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.

[0618] 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.

[0619] 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.

[0620] 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".

[0621] The present invention's job matching platform utilizes generative artificial intelligence to analyze the skills and experience of retirees and propose optimal employment opportunities. This system begins with users inputting their personal information and work history from a terminal via a user-friendly interface and transmitting it to a server.

[0622] The server securely stores the received user information in a database. The information is protected using encryption to prevent data leaks. Furthermore, generative artificial intelligence analyzes the stored data and selects multiple employment opportunities based on the user's work history, skills, and preferences.

[0623] This generative artificial intelligence matches the user's skill set against an existing job database to determine the most suitable occupation. For example, if a user with extensive experience as a project manager registers, the AI ​​can use that experience to suggest the most suitable candidates, such as project management, consulting, or even senior positions in related industries.

[0624] The suggested results are displayed on the terminal, allowing the user to select employment opportunities that interest them. The server automatically sends application information to the companies the user has selected. This process ensures smooth communication with companies, enabling users to quickly find new employment.

[0625] Furthermore, this platform has the functionality to provide an interface that allows users to directly proceed with the application process to companies of their choice. This enables users to handle all procedures, from application to interview scheduling, in one centralized manner within the platform.

[0626] As described above, this system helps retirees make the most of their skills and experience and smoothly transition to their next career. As a result, it enables efficient and user-friendly job matching for users.

[0627] The following describes the processing flow.

[0628] Step 1:

[0629] The device displays a screen that collects data such as the user's personal information, work history, skills, and desired conditions. The user enters this information and presses the submit button.

[0630] Step 2:

[0631] The server receives user information sent from the terminal and securely stores that information in a database. During this process, the stored data is encrypted to enhance data security.

[0632] Step 3:

[0633] Generative artificial intelligence on the server analyzes stored user information. The AI ​​reads work history and skill sets and compares them with existing job data to identify suitable occupations for the user.

[0634] Step 4:

[0635] The server selects multiple job opportunities suitable for the user based on AI analysis results. This includes an optimization process that takes into account the degree of matching with company job postings and the user's desired conditions.

[0636] Step 5:

[0637] The device presents the user with a list of selected employment opportunities. Based on this list, the user can choose companies and occupations that interest them.

[0638] Step 6:

[0639] The server creates application information for the company selected by the user and sends it to the selected company. The application information includes necessary information such as the user's work history and skill set.

[0640] Step 7:

[0641] The server awaits responses from selected companies and provides users with a means to schedule interviews and provide additional information as needed. Users can manage the entire process within the platform.

[0642] (Example 1)

[0643] 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".

[0644] When older adults seek new employment opportunities after retirement, they often face challenges in fully utilizing their skills and experience, leading to inappropriate career choices. Therefore, there is a need to provide support to help them efficiently find suitable employment opportunities.

[0645] 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.

[0646] In this invention, the server includes means for receiving user-identifiable information and storing that information in a memory area, means for generative artificial intelligence to interpret the user's work history and skills using the stored information, and means for selecting candidates to propose the most suitable occupational opportunities to the user based on the interpretation results. This makes it possible for older adults to efficiently find new occupational opportunities by utilizing their skills and experience.

[0647] A "user" refers to an individual using a job matching platform to find new employment opportunities.

[0648] "Identifiable information" refers to data used to identify a user, such as personal information or work history.

[0649] "Memory space" refers to databases and storage systems used to store user-identifiable information.

[0650] "Generative artificial intelligence" refers to an artificial intelligence system that has the ability to analyze stored data and automatically generate suitable occupations and suggestions for the user.

[0651] "Interpretation" refers to the process by which generative artificial intelligence understands and evaluates data on a user's work history and skills.

[0652] "Candidates" refer to multiple job opportunities selected to be presented to users.

[0653] "Platform" refers to the hardware and software infrastructure that makes up the entire job matching system.

[0654] The embodiments for carrying out the present invention will now be described. This occupational matching system helps older adults efficiently find new employment opportunities after retirement. The entire system works in conjunction with users, terminals, and a server to centrally manage the process from data input to job suggestions and applications.

[0655] First, the user uses a terminal to input personal and work history information. The terminal provides an interface for information input (e.g., a web browser or a dedicated application) and transmits the entered data to the server using format verification and encryption protocols. Examples of encryption protocols used at this time include SSL / TLS.

[0656] The server securely stores the received data in storage. Relational database management systems (RDBMS) are used for storage, ensuring data consistency and security. The stored information is analyzed by generative artificial intelligence (AI). The generative AI model combines natural language processing (NLP) and machine learning algorithms to match the user's skill set with a database of job postings. This matching process selects the most suitable job opportunities based on the user's experience and preferences.

[0657] Selected job opportunities are sent from the server to the terminal and presented to the user. The terminal displays this information in an easy-to-read format, and the user selects job opportunities based on their interests and aptitudes. Once the user makes a selection, the server automatically sends the application information to the prospective employer based on that information. Appropriate communication protocols are used throughout this transmission process to maintain data integrity and security.

[0658] Furthermore, this platform provides an operating environment that allows users to directly manage the entire application process with prospective employers on their devices. This makes it easy to manage the application status, including scheduling interviews.

[0659] As a concrete example, you can input the following prompt into the AI:

[0660] "I have over 20 years of experience in project management and am eager to take on new projects. What kind of job would be best suited to this skill set?"

[0661] This system helps retirees make the most of their knowledge and experience, and expand their career options.

[0662] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0663] Step 1:

[0664] Users enter personal and work history information into the terminal. The input interface uses text boxes and selection menus to make it easy for users to enter information. Once the user has finished entering the information, the terminal validates the format of the information to ensure there are no errors. This input includes name, contact information, past jobs, and skill set.

[0665] Step 2:

[0666] The terminal encrypts the entered data and sends it to the server. The SSL / TLS protocol is used for encryption, ensuring secure data transfer. After sending, the terminal verifies that the data transmission was successful and notifies the user.

[0667] Step 3:

[0668] The server stores the received data in its storage area. During storage, a database management system is used to maintain data consistency and security. The stored data is recorded in a format necessary for future processing.

[0669] Step 4:

[0670] The server analyzes stored data using generative artificial intelligence. The AI ​​understands the user's work history and skills, and searches the database for job opportunities based on that information. This process utilizes NLP techniques and machine learning algorithms. Input includes user prompts and skill information, and the output generates a list of the most suitable job candidates.

[0671] Step 5:

[0672] The server sends the analysis results to the terminal. The terminal receives this and displays it to the user in an easy-to-read format. The input here is job candidate data from the AI, and the output is information presented to the user in a list format on the screen. The user selects a job of interest from the list.

[0673] Step 6:

[0674] When a user selects a job opportunity, the terminal sends that selection information back to the server. Based on this selection, the server automatically generates application information and prepares it for submission to the company. In this process, application documents suitable for the selected job are automatically created.

[0675] Step 7:

[0676] The server sends the user's application information and completes the process. The application is converted to the appropriate format and sent. After submission, the server verifies whether the application was successful and notifies the user of the result.

[0677] In this way, users can efficiently find job opportunities that match their skills and apply seamlessly.

[0678] (Application Example 1)

[0679] 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".

[0680] In modern society, there is a problem in that there are insufficient opportunities for re-employment that utilize the abundant experience and skills of retirees. Furthermore, because there are limited means of efficiently obtaining information on skill improvement and the acquisition of new technologies, retirees are unable to make the most of their abilities. There is a need to solve these problems and provide a system that enables retirees to efficiently find re-employment and acquire new skills.

[0681] 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.

[0682] In this invention, the server includes means for receiving user information and storing that information in a data storage device, means for generative intelligence to analyze the user's work history and skills using the stored information, and means for selecting a set of candidates to propose the most suitable job opportunities to the user based on the analysis results. This enables retirees to quickly find job opportunities that match their skills and to further develop their abilities by participating in virtual educational events to improve their job-related skills.

[0683] "User information" refers to personal data necessary for job matching, such as work history, skills, and personal attributes.

[0684] "Data storage device" refers to databases and cloud storage technologies used to securely store information.

[0685] "Generative intelligence" is an artificial intelligence technology that analyzes user information and proposes optimal job opportunities.

[0686] "Work history" refers to the content and duration of the jobs a user has held in the past, and the experience gained through those jobs.

[0687] "Skills" refer to the specific abilities or specialized skills that a user possesses in order to perform their job.

[0688] A "candidate set" refers to a list of job opportunities and positions selected based on the user's criteria.

[0689] "Corporate entity" refers to an organization that includes companies or groups that users wish to apply to.

[0690] "Application process" refers to the process by which a user formally applies for a specific job position.

[0691] The term "operation screen" refers to the interface used by users when applying for job opportunities.

[0692] A "virtual educational event" refers to a training session or seminar held online, aimed at improving users' skills.

[0693] The system for realizing this invention is designed to optimize user job matching using generative intelligence. A specific embodiment is described below.

[0694] The server receives data such as personal information, work history, and skills provided by users through their terminals, and stores this information securely in a data storage device. Encryption technology is used to protect the data and guarantee its confidentiality. Cloud storage services such as AWS and Google Cloud can be used here.

[0695] The server utilizes AI technologies such as OpenAI's GPT model and Google's Bard to analyze stored user data. Generative intelligence analyzes the user's work history and skills, and based on that, selects the most suitable job opportunities from the job database.

[0696] The analysis results are presented to the user in an easy-to-understand manner, allowing them to select job opportunities and virtual educational events that interest them. The information selected by the user is automatically transmitted to the company by the server, ensuring a smooth application process.

[0697] For example, if a former engineer uses this system, the server can suggest suitable job opportunities, including project management and AI technology training, based on their work history. The system can also guide them to online seminars to improve their relevant skills, supporting further career development.

[0698] The following prompts are used when inputting data into the generative AI model:

[0699] "Please suggest suitable online jobs and workshops for former engineers who want to learn new skills after retirement."

[0700] In summary, this system allows retirees to utilize their experience and skills, find new job opportunities, and further develop their abilities.

[0701] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0702] Step 1:

[0703] The terminal prompts users to input personal information, work history, and skills information. This input data extracts key job-related information from personally identifiable information, securely encrypts it, and transmits it to the server. A user-friendly interface is used for the data input process.

[0704] Step 2:

[0705] The server receives encrypted user information transmitted from the terminal and securely stores it in a data storage device. During this process, the stored data is automatically updated in the database, ensuring consistency with past data.

[0706] Step 3:

[0707] The server begins analyzing the stored user information. This analysis uses generative AI models such as GPT and Bard to perform data calculations based on the user's work history and skills information. The input is user information, and the output of the analysis is a list of the most suitable job opportunities for the user.

[0708] Step 4:

[0709] The server generates a list of optimal job opportunities based on the analysis results and presents it to the user's terminal for easy review. The user can then review the presented job opportunities and suggested virtual training events and select those that interest them.

[0710] Step 5:

[0711] Once a user selects a job they are interested in, the server automatically initiates the application process to the company. It prepares the application information for the selected position and securely transmits it to the company, allowing the user to proceed smoothly through the application process.

[0712] Step 6:

[0713] Based on the user's selection, the server generates and displays information on suitable virtual educational events and skill-building programs on the terminal. The output information includes support information to help the user acquire further skills and develop their career.

[0714] 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.

[0715] The present invention provides a job matching platform that integrates generative artificial intelligence and an emotion engine to assist retirees in finding new employment opportunities. The system begins with a terminal where the user inputs their personal information, skills, and work history. The information received on the server side is encrypted and securely stored in a database.

[0716] Generative artificial intelligence analyzes stored user information and evaluates work history and skill sets to suggest the most suitable employment opportunities for the user. The process of selecting candidate companies and presenting them to the user based on this analysis is also performed on the server.

[0717] Furthermore, the emotion engine measures the user's emotions in real time and adjusts the feedback based on that data. For example, if a user is dissatisfied with the job opportunities presented, the emotion engine will adjust the system to suggest more appropriate job postings based on that perception. It can also understand the user's emotions when making choices and provide supportive and encouraging messages in situations where stress levels are high.

[0718] For example, if the system detects that a user is feeling anxious about a new challenge, it can provide encouragement to alleviate that anxiety or offer detailed information about areas of interest. This creates a flexible platform that supports user decision-making.

[0719] On the device, users can easily check feedback from an emotion engine, gaining confidence in their career choices. The process also includes the server sending application information to the user's selected candidate companies and waiting for responses from those companies. This entire flow allows users to experience an optimal career matching process tailored to their emotional state.

[0720] The following describes the processing flow.

[0721] Step 1:

[0722] The device displays a screen where the user can enter their personal information, work history, skills, and desired conditions. The user enters this information and presses the submit button.

[0723] Step 2:

[0724] The server receives user information sent from the terminal, encrypts that information, and stores it in the database. This ensures data security.

[0725] Step 3:

[0726] Generative artificial intelligence on the server analyzes stored user information. The AI ​​evaluates the user's work history and skills, and matches them with a job database to identify suitable job candidates.

[0727] Step 4:

[0728] The emotion engine analyzes the user's facial expressions and voice data in real time to recognize the user's emotional state. The recognized emotions are then fed back into the analysis process.

[0729] Step 5:

[0730] The server selects employment opportunities based on analysis results, taking into account the user's emotional state. It then adjusts the proposed content as needed, incorporating evaluations from the emotion engine.

[0731] Step 6:

[0732] The device presents the user with a list of selected employment opportunities. The user can review the suggested list and select companies or occupations that interest them.

[0733] Step 7:

[0734] The emotion engine re-measures the user's emotions based on their selections, and helps display encouraging messages or additional information on the device in high-stress situations.

[0735] Step 8:

[0736] The server creates application information for the company selected by the user and sends it to the company. This facilitates smooth communication between the user and the company.

[0737] Step 9:

[0738] The server notifies users when a company responds and arranges interviews as needed. It also allows users to check the progress of their application process on their devices.

[0739] (Example 2)

[0740] 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".

[0741] In today's rapidly advancing technological world, many workers find it difficult to find the optimal employment opportunities that match their professional experience and skills. Furthermore, in an aging society, retirees lack adequate support that takes their emotional needs into consideration when seeking new employment. Therefore, a system is needed that securely manages users' personal information and efficiently provides employment opportunities that take their emotions into account.

[0742] 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.

[0743] In this invention, the server includes means for receiving the user's personal information and storing that information in an information storage device, means for a generative data processing device to analyze the user's work history and skills using the stored information, and means for analyzing the user's emotions using an emotion analysis device and adjusting the information presented based on the analysis results. This makes it possible to efficiently provide the user with the most suitable employment opportunities, taking emotional aspects into consideration.

[0744] A "user" refers to an individual who uses this system to input personal information and participate in job matching.

[0745] "Personal information" refers to data about the user, such as name, contact information, work history, and skills.

[0746] An "information storage device" refers to a storage system, such as a database, that stores and securely keeps received information.

[0747] A "generative data processing device" refers to an AI system that analyzes input data and is used to find the most suitable employment opportunities for the user.

[0748] An "emotion analysis device" refers to a system that measures and evaluates emotions based on the user's facial expressions, input data, etc.

[0749] "Employment opportunities" refer to occupations and workplace positions suggested based on the user's work history and skills.

[0750] The term "operation screen" refers to an interactive interface that allows users to select occupations and complete application procedures through the system.

[0751] "Encoding" refers to the process of transforming information to enhance the security of transmitted and received data and protect it from unauthorized access.

[0752] The occupational matching platform of the present invention is a system designed to effectively integrate a generative AI model and an emotion analysis device to assist users in the process of finding the optimal employment opportunity. Embodiments thereof are described below.

[0753] Users first use a terminal to input their personal information, work history, and skills into the system. This data is then sent to the server. The terminal interface provides a user-friendly environment for data entry.

[0754] The server first encodes the received user information and securely stores it in a data storage device to prevent unauthorized access. Next, it begins analyzing the stored data using a generative AI model. The generative AI model evaluates the user's work history and skills to identify the best employment opportunities for them. As part of the analysis, the AI ​​generates prompt statements such as "Where are some workplaces where I can learn new technologies?" and derives appropriate candidates based on these prompts.

[0755] The emotion analysis device measures the user's emotions in real time while they are using their device and sends the results to a server. This allows the system to dynamically adjust the information presented based on the user's emotional state. For example, if the system detects that the user is feeling anxious about the job postings presented, it will provide supplementary information or messages to alleviate that anxiety.

[0756] By combining these elements, users can not only find the job that best suits them, but also proceed through the entire process with greater peace of mind. The information transmitted from the server to the terminal is always presented in a way that aligns with the user's emotional needs, allowing users to make decisions smoothly based on this information.

[0757] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0758] Step 1:

[0759] The user uses a device to input their personal information, work history, and skills. The device then transmits this data to the server. The entered data constitutes the basic information that makes up the user's profile, and this forms the basis for the next analysis step.

[0760] Step 2:

[0761] The server immediately encodes the received data and stores it in a secure data storage device. Encoding is a security process implemented to prevent data retrieval and unauthorized access. The output maintains the secure data format of the encoded data.

[0762] Step 3:

[0763] The server uses a generated AI model to analyze the stored data. The AI ​​model evaluates the input work history and skills, and based on that data, identifies suitable employment opportunities for the user. The output is a list of job candidates that best match the user's skills. For example, it can use a prompt like, "Where can I find a workplace to learn new technologies?" to generate candidates.

[0764] Step 4:

[0765] The server uses an emotion analysis device to measure the user's emotions in real time. It analyzes the user's facial expressions and actions while they are using the terminal and sends the emotion data back to the server. The output is data that reflects the user's emotional state.

[0766] Step 5:

[0767] The server uses emotion data to adjust job postings to match the user's emotions. For example, if a user expresses anxiety, additional information or messages are provided to alleviate that anxiety. The output is optimized job postings that take emotions into account.

[0768] Step 6:

[0769] The terminal displays job postings received from the server to the user, who then selects a job based on that information. Based on the job postings selected by the user, the server sends the necessary information to the organization to proceed with the application process. The output is a notification that the user has completed their application.

[0770] (Application Example 2)

[0771] 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".

[0772] When retirees seek new employment opportunities, they face challenges in receiving appropriate emotional support during the process of selecting candidates that match their skills and experience. Furthermore, in customer service roles, a lack of emotional awareness and personalized service delivery to address individual customer needs is also a significant challenge.

[0773] 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.

[0774] In this invention, the server includes means for receiving the user's personal data and storing that data in a storage device, means for using the stored data to enable generative artificial intelligence to evaluate the user's work history and skills, and means for analyzing the user's emotional data in real time and adjusting feedback based on that emotional data. This makes it possible to provide the user with appropriate job opportunities and emotional support, and to improve customer service in customer service operations.

[0775] "User personal data" refers to identifying and attribute information associated with individual users, including data such as the user's professional history, skills, and emotional state.

[0776] A "storage device" is a facility or system that can securely store data for a long period of time, and is capable of storing data in an encrypted format.

[0777] "Generative artificial intelligence" is a type of artificial intelligence that aims to derive new insights by performing advanced analysis and inference based on large amounts of data.

[0778] "Means of evaluation" refers to a process or device that analyzes data within a system and determines performance or status based on specific criteria.

[0779] "Emotional data" refers to data that indicates the emotional state estimated based on the user's facial expressions, voice tone, and other biometric information.

[0780] "Means of adjusting feedback" refer to processes and systems that dynamically change the information and messages presented to the user based on analyzed data.

[0781] "Customer service" refers to a series of activities performed in the process of providing goods and services to customers, including interactions with customers and the provision of information.

[0782] The system that realizes this application consists of a terminal owned by the user, a server, and a device used by the customer (e.g., smart glasses).

[0783] The server first receives the user's personal data and securely stores it in a storage device. The database has data encryption capabilities to ensure security. Next, the server uses generative artificial intelligence to perform an assessment based on the user's work history and skills. This assessment includes an algorithm that leverages the AI's data analysis capabilities to identify suitable job opportunities for the user.

[0784] Meanwhile, the user's terminal or device sends real-time user emotion data to the server. The server adjusts the feedback based on this emotion data. The emotion data is processed by emotion recognition software and designed to optimize the user experience. For example, to improve customer convenience during customer service, AI-driven message generation is used to provide personalized support based on customer responses.

[0785] As a concrete example, when a user engaged in customer service interacts with a customer, the user wears smart glasses. Through this device, the customer's facial expressions and tone of voice are analyzed in real time, and emotional data is sent to a server. As a result, the AI ​​displays the optimal response method, instantly instructing the user on how to support the customer. This enables the user to provide optimized customer service.

[0786] A concrete example of a prompt using a generative AI model is: "This customer looks somewhat anxious. Based on their purchase history, generate a product suggestion that will reassure them and a message to ease their feelings." This enhances the user's service delivery capabilities and enables a higher quality customer experience.

[0787] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0788] Step 1:

[0789] The user's device acquires personal data (such as work history, skills, and basic information) through an input interface. This data is securely transmitted to the server using a communication protocol. The input data includes the user ID and work history, and is encrypted for analysis on the server side.

[0790] Step 2:

[0791] The server decodes the received personal data and stores it in a database. Next, it uses a generative AI model to analyze the user's work history and skills. The analysis runs algorithms to identify the user's skill set and relevant job opportunities. As a result of the analysis, a list of suitable job opportunities is generated.

[0792] Step 3:

[0793] The server receives user emotional data in real time and performs emotional analysis based on this data. The input consists of the user's facial expressions and tone of voice, which the emotion engine analyzes. Based on the resulting emotional state, the feedback content is adjusted.

[0794] Step 4:

[0795] Based on the adjusted feedback and analysis results, the server generates job opportunity suggestions and sends them to the user's terminal. The output consists of job suggestions optimized for the user and messages tailored to the user's emotional state.

[0796] Step 5:

[0797] Users view suggested job opportunities on their device and select jobs that interest them. These selections are sent from the device to the server, and the user's application intention is recorded.

[0798] Step 6:

[0799] The server generates and sends application information to selected organizations based on the user's application intentions. It then waits for a response from the organizations and provides the user with a customized message. As a result, users can efficiently seek and receive proposals for the most suitable job opportunities.

[0800] 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.

[0801] 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.

[0802] 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.

[0803] 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.

[0804] 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.

[0805] 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.

[0806] 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.

[0807] 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.

[0808] 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."

[0809] 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.

[0810] 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.

[0811] 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.

[0812] 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.

[0813] 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.

[0814] 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.

[0815] 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.

[0816] 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.

[0817] 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.

[0818] 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.

[0819] 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.

[0820] 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.

[0821] The following is further disclosed regarding the embodiments described above.

[0822] (Claim 1)

[0823] A means of receiving users' personal information and storing that information in a database,

[0824] A means by which generative artificial intelligence analyzes a user's professional history and skills using stored information,

[0825] A means of selecting candidate companies to propose the most suitable employment opportunities to users based on the analysis results,

[0826] A means of presenting selected employment opportunities to users and accepting their selections,

[0827] A means of sending application information to companies based on user selection,

[0828] A system that includes this.

[0829] (Claim 2)

[0830] The system according to claim 1, further comprising means for encrypting user-entered information and storing it in a database.

[0831] (Claim 3)

[0832] The system according to claim 1, further comprising means for providing an interface that allows a user to directly proceed with the application process to selected companies.

[0833] "Example 1"

[0834] (Claim 1)

[0835] A means for receiving user-identifiable information and storing that information in a memory area,

[0836] A means by which generative artificial intelligence interprets a user's work history and skills using stored information,

[0837] A means for selecting candidates to propose the most suitable job opportunities to the user based on the interpretation results,

[0838] A means of displaying selected job opportunities to users and accepting their selections,

[0839] A means of sending application information to the recipient based on the user's selection,

[0840] A platform that includes this.

[0841] (Claim 2)

[0842] The platform according to claim 1, further comprising means for encrypting user-provided information and storing it in a storage area.

[0843] (Claim 3)

[0844] The platform according to claim 1, further comprising means for providing an operating environment that allows users to directly proceed with the application process for job opportunities they have selected.

[0845] "Application Example 1"

[0846] (Claim 1)

[0847] A means for receiving user information and storing that information in a data storage device,

[0848] A means by which generative intelligence analyzes a user's work history and skills using stored information,

[0849] A means for selecting a candidate set of job opportunities to propose the most suitable job opportunities to the user based on the analysis results,

[0850] A means of presenting selected job opportunities to users and accepting their selections,

[0851] A means of sending application information to a company based on the user's selection,

[0852] A means of informing users about virtual educational events to improve job-related skills,

[0853] A system that includes this.

[0854] (Claim 2)

[0855] The system according to claim 1, further comprising means for encrypting user-entered information and storing it in a data storage device.

[0856] (Claim 3)

[0857] The system according to claim 1, further comprising means for providing an operation screen that allows a user to directly proceed with the application process to a selected corporation.

[0858] "Example 2 of combining an emotion engine"

[0859] (Claim 1)

[0860] A means of receiving a user's personal information and storing that information in an information storage device,

[0861] A means by which a generative data processing device analyzes the user's work history and skills using stored information,

[0862] A means for selecting candidates to propose the most suitable employment opportunities to the user based on the analysis results,

[0863] A means of presenting selected employment opportunities to users and accepting their selections,

[0864] A means for analyzing the user's emotions using an emotion analysis device and adjusting the information presented based on the analysis results,

[0865] A means of sending application information to an organization based on user selection,

[0866] A system that includes this.

[0867] (Claim 2)

[0868] The system according to claim 1, further comprising means for encoding user-inputted information and storing it in an information storage device.

[0869] (Claim 3)

[0870] The system according to claim 1, further comprising means for providing an operation screen that allows the user to directly proceed with the application process for the candidate selected by the user.

[0871] "Application example 2 when combining with an emotional engine"

[0872] (Claim 1)

[0873] A means for receiving a user's personal data and storing that data in a storage device,

[0874] A means by which generative artificial intelligence utilizes stored data to evaluate a user's professional history and skills,

[0875] A means for selecting organizations to propose suitable job opportunities to users based on evaluation results,

[0876] A means of proposing extracted job opportunities to the user and accepting the user's selection,

[0877] A means of transmitting application data to the organization based on user selections,

[0878] A means of analyzing user emotional data in real time and adjusting feedback based on that emotional data,

[0879] A means of understanding the user's feelings towards the occupational opportunity they have selected and providing corresponding information,

[0880] A system that includes this.

[0881] (Claim 2)

[0882] The system according to claim 1, further comprising means for encrypting user-entered data and storing it in a storage device.

[0883] (Claim 3)

[0884] The system according to claim 1, further comprising means for providing a connection surface that allows a user to directly proceed with the application process to a selected organization. [Explanation of Symbols]

[0885] 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 receiving users' personal information and storing that information in a database, A means by which generative artificial intelligence analyzes a user's professional history and skills using stored information, A means of selecting candidate companies to propose the most suitable employment opportunities to users based on the analysis results, A means of presenting selected employment opportunities to users and accepting their selections, A means of sending application information to companies based on user selection, A system that includes this.

2. The system according to claim 1, further comprising means for encrypting user-entered information and storing it in a database.

3. The system according to claim 1, further comprising means for providing an interface that allows a user to directly proceed with the application process to selected companies.

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