system

Abstract

This system analyzes user preferences based on user profile data and provides a means to suggest compatible other users and residential properties. [Solution] A system including an input means for collecting user profile data, a calculation means for analyzing the user's preferences based on the collected user data and matching them with other compatible users, a selection means for selecting and proposing property information based on the user's preferences, a display means for presenting the proposed properties and roommate candidates to the user, a reservation means for booking and managing mentoring sessions with industry experts, a management means for providing career opportunities from partner companies and managing user applications, and a space management means for managing reservations for creative spaces.

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, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Problems faced by people engaged in creative activities, especially musicians and comic artists, include finding an ideal living environment and having difficulty meeting people with the same goals. Also, due to limited opportunities to receive direct guidance from industry experts, professional growth may stagnate. Furthermore, it is difficult to form a network to obtain career opportunities, and individuals also have limited access to offices and publishers. There is a need for a system that comprehensively supports these issues.

Means for Solving the Problems

[0005] This invention provides users with an optimal environment and opportunities for communal living through a system that analyzes user preferences based on user profile data and proposes compatible other users and residential properties. It also supports users' professional growth by introducing a means for booking and managing mentoring sessions with industry experts. Furthermore, it solves the aforementioned problems by creating opportunities for users to actively present their work to the industry through career opportunities provided by forming partnerships with partner companies and through communication means.

[0006] A "user" is an individual who uses the system to register their profile and search for an ideal environment and collaborators for their creative activities.

[0007] "Profile data" refers to information entered by the user, including their creative genre, career goals, and lifestyle.

[0008] "Orientation" refers to the individual characteristics and tendencies based on a user's creative genre, lifestyle, and career goals.

[0009] "Compatibility" is a quantified metric that analyzes the degree to which users' interests and goals align.

[0010] "Property" refers to a building or space for a user to reside in, and may include facilities particularly suitable for creative activities.

[0011] "Suggestion" refers to the act of a system presenting the optimal option based on its analysis of the user's preferences.

[0012] A "mentoring session" refers to the activity of providing guidance and advice to users by industry experts.

[0013] "Partnership" refers to the process by which system operators build cooperative relationships with companies and other organizations in the industry to provide users with career opportunities.

[0014] "Communication methods" refer to technical techniques used to exchange information between users and partner companies. [Brief explanation of the drawing]

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

Embodiments for Carrying Out the Invention

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

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

[0018] In the following embodiments, a 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.

[0019] 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.

[0020] 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, etc.

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

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

[0023] [First Embodiment]

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

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

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

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

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

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

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

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

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

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

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

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

[0036] This invention relates to the construction of a shared living platform that provides an optimal communal living environment for users engaged in creative activities. In this system, users first input their profile data using a terminal. This data includes information such as creative genre, career goals, and lifestyle. The terminal organizes this information and sends it to a server.

[0037] The server analyzes the user's preferences based on the received data. A generative AI is used in the analysis algorithm, matching the user with suitable roommates and properties based on their creative genre and lifestyle. Based on the analysis results, the server generates a list of optimal properties and proposes them to the user's device.

[0038] For example, if a user enters information such as "classical music," "joining an orchestra within two years," and "preferring a quiet environment," the server analyzes this profile and matches them with other users who have similar goals. Furthermore, it identifies properties equipped with soundproofing and suggests them to the user.

[0039] Next, users can book mentoring sessions with industry experts through their devices. The server manages this booking information and schedules the sessions. Furthermore, users who receive career opportunities from partner companies can submit their portfolios and business plans through the server. This allows users to efficiently develop as professionals.

[0040] The system also manages reservations for creative spaces such as music studios and manga production spaces to support users' creative activities. Users reserve the necessary facilities using terminals, and the server updates the reservation status, ensuring that users can work comfortably.

[0041] Thus, the present invention is a system that reflects the individual needs of users and realizes creative cohabitation through appropriate matching and feedback.

[0042] The following describes the processing flow.

[0043] Step 1:

[0044] Users use their devices to enter their profile information. This information includes creative genres, career goals, and lifestyle. This information is fundamental to understanding the user's orientation. The device formats the data appropriately and sends it to the server.

[0045] Step 2:

[0046] The server receives user data sent from the terminal and stores it in the database. Simultaneously with saving, it activates a generation AI algorithm to analyze the user's preferences. The analysis matches the user with other users who have similar characteristics based on the user's input information.

[0047] Step 3:

[0048] Based on the analysis results, the server extracts the most suitable properties for the user from the database. The selected property information is comprehensively evaluated to include the environmental conditions the user desires (e.g., soundproofing, presence of common spaces, etc.).

[0049] Step 4:

[0050] The server organizes the matched users and property listings and sends them to the terminal. The terminal displays the received information to the user, allowing them to compare each option in detail.

[0051] Step 5:

[0052] The user uses their device to review and select suggested roommates and properties. Once selections are complete, they send their selections to the server via their device.

[0053] Step 6:

[0054] The server receives the user's selection, contacts the selected property and the matched user, and arranges contracts and reservations based on that information.

[0055] Step 7:

[0056] Users can select mentoring sessions with industry professionals on their devices. They specify the date and time on their devices and send the reservation information to the server.

[0057] Step 8:

[0058] The server confirms reservations and manages the mentoring session schedule. After adjustments are made, confirmation information is sent to the user's device and notifications are sent via the reminder function.

[0059] Step 9:

[0060] The server regularly updates information about career opportunities offered by partner companies and notifies the appropriate users. Users check the notifications via their devices and apply to projects that interest them.

[0061] Step 10:

[0062] The server receives application information and submits it to partner companies. It then sends feedback and results from the companies to the user and guides them through the next steps.

[0063] Step 11:

[0064] Users reserve creative spaces using their devices. Based on the reservation requests received by the server, it updates the space's availability and sends a confirmation notification to the user.

[0065] This series of processes allows users to live in an environment conducive to creative activities and to take advantage of diverse opportunities for growth.

[0066] (Example 1)

[0067] 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."

[0068] Providing an optimal communal living environment for individual users engaged in creative activities requires appropriate matching based on diverse orientations and lifestyles. However, conventional systems have struggled to provide a flexible and efficient environment based on users' detailed needs and future goals. In particular, the lack of adequate space management and coordination of guidance from industry experts to support creative activities has been a challenge, hindering users' creativity.

[0069] 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.

[0070] In this invention, the server includes input means for collecting users' personal information, calculation means for analyzing the user's preferences using generating AI based on the collected user information and matching them with other cooperative users, and selection means for selecting and proposing apartment complex information based on the user's preferences. This makes it possible to generate an optimal collaborative activity environment that meets the needs of individual users.

[0071] A "user" is an individual or group that uses the system, inputting information about their creative activities and seeking appropriate living environments and support.

[0072] "Personal information" refers to information that users provide to the system, including data such as creative fields, career goals, and lifestyle.

[0073] "Generative AI" is an artificial intelligence technology used to analyze user preferences. It is a model that performs pattern recognition based on large amounts of data and generates optimal suggestions for the user.

[0074] "Orientation" is a concept that collectively refers to a user's interests, goals, and preferences in their creative activities, and it is an element that the system uses to perform matching and make suggestions based on this information.

[0075] The "computational means" refers to a function that uses an AI model to analyze and match information based on user input, and is a technology that supports the process of selecting the optimal environment and roommates.

[0076] "Selection method" refers to a function that selects apartment complex information and related suggestions based on the user's preferences, and is an element involved in the process of providing users with suitable options.

[0077] "Apartment building information" refers to data about housing where multiple individuals can live together, including details such as soundproofing facilities and location conditions to meet user requirements.

[0078] "Facility management means" refers to functions that manage the reservation and usage status of spaces to support creative activities, and is a technology that enables the efficient use of space.

[0079] This invention relates to the construction of a system that provides an optimal communal living environment for users engaged in creative activities. Specific embodiments are described below.

[0080] Users first access the system using a terminal and enter their personal information. This information includes their creative field, career goals, and lifestyle. The terminal organizes this information in a specific format and sends it to the server. Standard communication methods via the internet are used for data transmission.

[0081] The server processes the received data and analyzes the user's preferences using a generative AI model. The generative AI leverages a powerful computing platform hosted on a cloud service to evaluate user preferences based on large amounts of data. This analysis allows the server to select the most suitable roommates and housing options for the user.

[0082] Based on the analysis results, the server generates suggestions tailored to the user's needs. For example, if a user has preferences such as "classical music" or "a quiet environment," the server will suggest soundproofed apartments or roommates with similar preferences. The server then sends the suggested options to the user's device for display.

[0083] Furthermore, users can book creative spaces and mentoring sessions with industry experts through their devices. The server centrally manages this booking information and displays the booking status to users in real time.

[0084] For example, if a user enters a prompt such as, "I specialize in classical music and want to join an orchestra within two years. I value a quiet environment," the server will use this information to prioritize selecting suitable properties and roommates, providing the best possible suggestions for the user.

[0085] This system aims to provide new value to users engaged in creative activities by automatically collecting user information and selecting and proposing the optimal shared living environment. To this end, it effectively utilizes generative AI models and incorporates features to improve the user experience.

[0086] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0087] Step 1:

[0088] Users enter their personal information using their device. This information includes their creative field, career goals, and lifestyle. The data is submitted when the user completes the data entry form and clicks the submit button.

[0089] Step 2:

[0090] The terminal organizes the entered personal information into a specified format and sends it to the server. The data is often sent in formatted JSON. The output here is user data in a format that the server can process.

[0091] Step 3:

[0092] The server analyzes the data received from the terminal. Using a generative AI model, it analyzes the user's preferences and identifies suitable roommate candidates and properties. In this process, the AI ​​refers to a vast dataset and optimizes itself through pattern recognition. As a result of the analysis, a list of candidates to be suggested to the user is output.

[0093] Step 4:

[0094] Based on the analysis results, the server generates suggested properties and roommate candidates. It constructs a list of optimal options tailored to the user's preferences. Specifically, it lists information on apartment buildings and individuals that match the user's requirements.

[0095] Step 5:

[0096] The server sends the generated list of suggestions to the user's terminal. The user can review the suggested options on their terminal and select items of interest. At this stage, the output is the list of suggestions displayed on the user's terminal.

[0097] Step 6:

[0098] Users book creative spaces and mentoring sessions with industry experts through their devices. This booking information is sent to a server, which manages the booking status and adjusts schedules. The output is a booking confirmation, which is presented to the user.

[0099] Step 7:

[0100] The server centrally manages all reservation information and updates it in real time. This includes confirmed or modified reservations. The server notifies the user of the reservation status and makes any necessary adjustments. The final output is reservation status confirmation information displayed on the user's terminal.

[0101] (Application Example 1)

[0102] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0103] In modern creative activities and product development, there is a need to create an efficient work environment and optimize the compatibility of collaborative work. However, conventional systems lack sufficient means to manage and visualize these aspects in real time. As a result, users may not be able to work efficiently, and productivity may be impaired.

[0104] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0105] In this invention, the server includes input means for collecting user profile data, calculation means for analyzing the user's preferences based on the collected user data and matching them with other compatible users, analysis means for optimizing work efficiency using generated AI, and visualization means for checking the progress of work in real time. This provides users with an optimal collaborative work environment and enables efficient work progress.

[0106] "Input means" refers to a device or interface for collecting user profile data.

[0107] A "computational means" is a device that analyzes user preferences based on collected user data and matches them with other compatible users.

[0108] The "selection method" refers to a function that selects property information based on the user's preferences and proposes it to the user.

[0109] "Display means" refers to a device for presenting proposed properties and potential roommates to the user.

[0110] The "reservation method" refers to the function of reserving and managing mentoring sessions with industry experts.

[0111] "Management means" refers to devices and functions for providing career opportunities from partner companies and managing user applications.

[0112] "Space management means" refers to devices and functions for managing reservations of creative spaces.

[0113] "Analysis means" refers to a function that analyzes data using generative AI to optimize work efficiency.

[0114] "Visualization means" refers to display devices or functions that allow for real-time monitoring of work progress.

[0115] The system for realizing this invention combines multiple means to support the user's creative activities and product development. Its key feature is that the server, terminal, and user work together to complete a series of processes.

[0116] The server receives and collects profile data from users through input methods. This includes information such as the user's creative genre, career goals, and lifestyle. As a computational tool, the server uses a generative AI model to analyze the user's preferences based on the collected data. Based on this analysis, it identifies and suggests compatible roommates and properties using a selection tool. These suggestions are displayed on the user's terminal via a display tool.

[0117] Furthermore, the server allows users to book and manage mentoring sessions with industry experts using a reservation system. The management system provides users with career opportunities from partner companies, and application status is properly managed. In addition, reservations for creative spaces are managed through a space management system.

[0118] This system utilizes generative AI to perform efficiency analysis, and visualizes the progress of the work to the user in real time. For example, by wearing smart glasses, the progress of product development within the factory is visualized, and the results of the generative AI analysis are presented in real time. The generative AI model could potentially incorporate something like GPT-4®.

[0119] An example of a prompt message is, "Please suggest the optimal workflow for this manufacturing process. How can we optimize the current layout and resources?" This example allows users to understand how they can utilize the system in specific situations.

[0120] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0121] Step 1:

[0122] The device receives profile data from the user. This data includes information such as creative genre, career goals, and lifestyle. This data is formatted by the device and sent to the server for the next step.

[0123] Step 2:

[0124] The server receives profile data from the terminal. To analyze the received data, it activates a generative AI model to identify the user's preferences. In this step, the input profile data is processed for analysis, and the analysis results generate information about the user's needs and preferences.

[0125] Step 3:

[0126] Based on the analysis results, the server uses computational methods to identify other compatible users and property information. In this step, a matching algorithm is executed using the directional data generated by the generative AI model, and a list of roommates and recommended properties is output.

[0127] Step 4:

[0128] The server sends selected roommate candidates and property information to the terminal. The terminal receives this information and presents it to the user as a list using a display device. The user can then make a selection based on the presented information.

[0129] Step 5:

[0130] If a user wishes to book a mentoring session with an industry expert based on their selected information, they submit a booking request through their device. The server processes this request using the booking system and manages and adjusts the schedule.

[0131] Step 6:

[0132] The server provides users with career opportunity information from partner companies through a management system. This information is displayed to the user via their terminal, and if the user is interested, it provides an interface for managing the application process.

[0133] Step 7:

[0134] Simultaneously, the server uses generated AI models to perform analysis aimed at improving the efficiency of projects and tasks the user is involved in. The results are displayed as real-time feedback through visualization tools, allowing the user to adjust their work based on this feedback.

[0135] 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.

[0136] This invention relates to a system that improves the user experience by combining an emotion engine with a conventional shared living platform. In this system, the user first inputs their profile information using a terminal. The profile includes basic data such as creative genre, career goals, and lifestyle. This information is formatted by the terminal and sent to the server.

[0137] The server analyzes the received profile data using a generative AI and an emotion engine. The emotion engine recognizes the user's emotional state through voice, text, and facial expression data provided by the user. This emotional information is used for user preference analysis and optimized matching. As a result, the server suggests roommate candidates and property information that are adapted to the user's mental state, providing the optimal environment that matches the user's lifestyle and emotions.

[0138] For example, if a user is feeling "busy," the server will prioritize suggesting quiet properties where they can relax or shared houses with good support systems. Similarly, if a user is feeling "excited," the server will suggest vibrant communities focused on creative activities.

[0139] Furthermore, users can book customized mentoring sessions based on emotion recognition via their device. This system allows for monitoring the user's emotional state during the mentoring session, enabling adjustments to the session content on the spot. For example, if a user is experiencing stress, the session might be modified to focus on relaxation techniques.

[0140] When partner companies offer career opportunities, the emotional engine identifies and presents opportunities tailored to the user's emotions, allowing users to identify opportunities that are a better fit for them. Furthermore, when users book creative spaces using their devices, emotional information is used to provide the most suitable space options.

[0141] This invention allows users to enjoy a living space that goes beyond mere dwelling conditions, providing emotional satisfaction. This system can understand the user's emotional state and respond to their unspoken needs.

[0142] The following describes the processing flow.

[0143] Step 1:

[0144] Users use their devices to enter personal profile information. This information includes creative genre, career goals, lifestyle, and emotional information in voice and text format. The device formats this information appropriately and sends it to the server.

[0145] Step 2:

[0146] The server stores the received data in a database and activates a generative AI and emotion engine to analyze the user's orientation and emotional state. The emotion engine extracts emotions from the voice and evaluates the user's mental state in real time, combining them with text and facial expression data.

[0147] Step 3:

[0148] Based on the analysis results, the server creates an optimal matching plan for each user. This plan includes a list of potential roommates and property information optimized for the user's emotional state. The server then organizes this information in an order that aligns with the user's preferences.

[0149] Step 4:

[0150] Matched information is sent from the server to the terminal. The terminal displays the suggestions on the user interface, presenting them in an easy-to-select format. The user uses this information to select their ideal roommate or property.

[0151] Step 5:

[0152] The user sends information about their selected candidates and properties from their device to the server. The server records these selections and automatically handles property contracts and notifications to roommates.

[0153] Step 6:

[0154] Users can view and book customized mentoring sessions based on their emotional state through their device. The server manages the booking information and notifies the specialist to adjust the session content.

[0155] Step 7:

[0156] During mentoring sessions, the server monitors the user's emotions through an emotion engine, automatically generates feedback, and adjusts the session content as needed. Based on this feedback, additional support and guidance to resources are also provided.

[0157] Step 8:

[0158] Career opportunities from partner companies are updated on the server, and sentiment-based recommendations are notified to the user's device. If the user wishes to apply for an opportunity, they can check the details on their device and submit the necessary documents through the server.

[0159] Step 9:

[0160] When users book a creative space using their device, the emotion engine presents them with recommended space options. The server updates the booking status and optimally allocates available resources.

[0161] By following this series of steps, users can obtain an optimal living environment tailored to their individual emotional state.

[0162] (Example 2)

[0163] 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".

[0164] In modern living environments, users face challenges in finding the ideal living space or cohabitation, and in making choices that align with their emotional satisfaction and individual lifestyles. Furthermore, there is a lack of real-time support based on users' emotional states and insufficient means to identify suitable career opportunities.

[0165] 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.

[0166] In this invention, the server includes an input means for acquiring the user's personal information, a calculation means for analyzing the user's preferences based on the acquired information and selecting other suitable users, and a selection means for selecting and recommending property candidates based on the user's preferences and emotional state. This makes it possible to provide a living environment that suits the user's emotions and lifestyle.

[0167] "User personal information" refers to information related to the user, such as name, address, contact information, hobbies and preferences, inclinations, and emotional state, and is data used in this system to provide appropriate services to the user.

[0168] "Input means" refers to the interface and mechanism for a user to input their own information into a system via a terminal.

[0169] "Calculation means" refers to functions that perform calculations and analyses based on acquired data to facilitate appropriate user matching and property selection.

[0170] "Selection method" refers to a system that selects the most suitable properties and roommate candidates based on analysis results and proposes them to the user.

[0171] "Display means" refers to means including monitors and displays for visually presenting selected property information and candidate information to the user.

[0172] "Adjustment mechanism" refers to a function that allows you to schedule sessions with experts as needed and change the date and content of those sessions as required.

[0173] "Control means" refers to functions for appropriately processing user application management and information provided by partner organizations, and for performing necessary controls.

[0174] "Space management means" refers to functions that manage and enable users to efficiently reserve and utilize spaces for their creative activities.

[0175] This system allows users to input their personal information using a terminal and, based on that information, provides them with the most suitable living environment and employment opportunities. Specifically, users input information such as their name, address, contact information, hobbies, preferences, inclinations, and emotional state through the terminal. The terminal formats this information and transmits it to the server using a secure protocol.

[0176] The server uses generative AI technology (e.g., large-scale neural network models) and sentiment analysis technology to analyze the received data. This allows the server to identify the user's emotional state and select potential properties and roommates based on the analysis results. Because the selected information is tailored to the user's preferences and emotional state, it contributes to improving the user's quality of life.

[0177] Furthermore, users can book customized mentoring sessions via their devices. The server coordinates schedules with experts and optimizes the session content in real time based on the user's emotional state.

[0178] For example, if a user provides data indicating that their emotional state is relaxed, the system can suggest a comfortable living environment or an active roommate. An example of a prompt when using a generative AI model would be, "What ideal property or content should be suggested if the user's emotional state is recognized as relaxed or stressed?"

[0179] In this way, the system can provide optimal choices based on the user's emotions and preferences, thereby creating a richer living space.

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

[0181] Step 1:

[0182] The user uses the terminal to enter personal information. This information includes name, address, contact information, hobbies, preferences, orientation, and emotional state. The terminal receives this input and formats it into the required format. The formatted data is then ready to be sent to the next processing step.

[0183] Step 2:

[0184] The terminal sends formatted user data to the server. To ensure data security, encryption methods such as the HTTPS protocol are used. The data received by the server is decoded and prepared for the next analysis step.

[0185] Step 3:

[0186] The server analyzes the received user data. This analysis uses generative AI models and sentiment analysis algorithms. Specifically, the AI ​​model analyzes the user's text data to understand their emotional state. The sentiment analysis results are stored in a database to be used as a basis for decisions in subsequent steps.

[0187] Step 4:

[0188] Based on the analysis results, the server generates properties and potential co-habitants that are suitable for the user's emotional state. For example, if the user's emotional state is "busy," properties that promote relaxation will be selected. Past data and statistical information are also utilized in this selection process.

[0189] Step 5:

[0190] The server sends the generated property and co-resident candidates to the user's device and presents them to the user. The user can then select the option that best matches their preferences from the candidates displayed on the device.

[0191] Step 6:

[0192] Users can book customized mentoring sessions based on the information they select. The server receives this booking information and coordinates the schedules of the experts and users. It also creates an environment that makes it easy for users to participate in the sessions, such as by sending reminders as needed.

[0193] Step 7:

[0194] The server manages job opportunities from partner organizations and provides optimal career suggestions based on the user's emotional state. The results are notified to the user via their device, allowing them to respond appropriately.

[0195] (Application Example 2)

[0196] 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".

[0197] In traditional brick-and-mortar stores, accurately understanding the emotions and needs of customers and providing products and services accordingly is difficult. A system is needed that can propose services tailored to each customer's emotional state in real time. The challenge is to improve customer satisfaction and enhance store sales and reputation through this process.

[0198] 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.

[0199] In this invention, the server includes emotion analysis means for evaluating the user's emotional state, selection means for selecting and proposing products and services based on the emotional data, and input means for collecting and analyzing customer profile data. This makes it possible to propose products and provide services that are tailored to the emotional state of the customer.

[0200] "User emotional state" refers to the psychological or emotional responses a user exhibits at a specific point in time, and is analyzed from data such as voice and facial expressions.

[0201] "Emotional analysis means" refers to technology or devices that analyze a user's emotional state using voice and facial expression data.

[0202] "Selection method" refers to a system that selects products and services that match the user's needs and emotional state based on collected data.

[0203] "Input method" refers to an interface or device used to collect user profile data and sentiment data.

[0204] "Control means" refers to a method or device for adjusting service or product suggestions based on analyzed emotional data.

[0205] "Display means" refers to monitors or displays used to visually present analysis results and proposed content to the user.

[0206] "Real-time" refers to a processing speed that enables a system to respond instantly to user input and changes in circumstances.

[0207] "In-store resource management systems" refer to systems that effectively manage in-store inventory, staff allocation, and other factors to adapt to customer needs.

[0208] The system for realizing this application includes emotion analysis means, selection means, input means, control means, and display means. First, the user's facial expressions and voice are captured in real time using smart glasses as a terminal and input as profile data. This data is used to evaluate the user's emotional state through the emotion analysis means. This system uses emotion analysis software from Affectiva or smart glasses such as Google Glass®.

[0209] The server uses a generative AI model to select products and services based on collected emotional data and user profile data. For example, if a customer shows signs of fatigue, relaxing products and services will be selected. In this selection process, the generative AI model performs data analysis to identify the product that best matches the customer's needs.

[0210] Next, the control system adjusts the selected suggestions in real time and displays the optimal suggestions using the display system based on the store's inventory status. This allows customers to enjoy the best possible services and products currently available.

[0211] For example, in a shop setting, if a user is feeling stressed, the system can suggest relaxation items such as aromatherapy candles or relaxing music. The server uses prompts to instruct the AI. An example of a prompt would be, "The system has determined that the user is seeking relaxation. Please recommend products or services that are appropriate for this emotional state."

[0212] This system allows stores to provide personalized service tailored to the individual needs of each customer, contributing to improved customer satisfaction.

[0213] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0214] Step 1:

[0215] The smart glasses, which act as the device, capture the user's facial expressions and voice in real time. They acquire facial and voice data as input and transmit this data to an emotion analysis system. This data is used to evaluate the user's current emotional state.

[0216] Step 2:

[0217] The server processes the received facial expression and voice data using emotion analysis tools. Here, software such as Affectiva is used to analyze the user's emotional state (e.g., relaxed, tense, tired). As a result of this analysis, the user's emotional state data is output.

[0218] Step 3:

[0219] Based on the outputted emotional state data and user profile data, the server uses a generative AI model to select the most suitable products and services using a selection method. For example, if it is determined that the user is seeking relaxation, it will consider products suitable for relaxation. In this process, the generative AI model analyzes the received data, generates prompt sentences, and issues instructions to the AI.

[0220] Step 4:

[0221] The server optimizes the list of products and services selected by the generated AI model using control devices, optimizing it according to inventory status and the store's service provision capacity. After the final proposal is confirmed, the proposal is sent from the display device to the terminal.

[0222] Step 5:

[0223] The terminal presents the user with selected products and services. The display method visually presents the suggestions in a user-friendly format. This allows the user to choose the service or product that best suits their emotional state.

[0224] 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.

[0225] 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.

[0226] 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.

[0227] [Second Embodiment]

[0228] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0229] 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.

[0230] 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).

[0231] 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.

[0232] 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.

[0233] 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).

[0234] 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.

[0235] 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.

[0236] 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.

[0237] 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.

[0238] 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.

[0239] 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".

[0240] This invention relates to the construction of a shared living platform that provides an optimal communal living environment for users engaged in creative activities. In this system, users first input their profile data using a terminal. This data includes information such as creative genre, career goals, and lifestyle. The terminal organizes this information and sends it to a server.

[0241] The server analyzes the user's preferences based on the received data. A generative AI is used in the analysis algorithm, matching the user with suitable roommates and properties based on their creative genre and lifestyle. Based on the analysis results, the server generates a list of optimal properties and proposes them to the user's device.

[0242] For example, if a user enters information such as "classical music," "joining an orchestra within two years," and "preferring a quiet environment," the server analyzes this profile and matches them with other users who have similar goals. Furthermore, it identifies properties equipped with soundproofing and suggests them to the user.

[0243] Next, users can book mentoring sessions with industry experts through their devices. The server manages this booking information and schedules the sessions. Furthermore, users who receive career opportunities from partner companies can submit their portfolios and business plans through the server. This allows users to efficiently develop as professionals.

[0244] The system also manages reservations for creative spaces such as music studios and manga production spaces to support users' creative activities. Users reserve the necessary facilities using terminals, and the server updates the reservation status, ensuring that users can work comfortably.

[0245] Thus, the present invention is a system that reflects the individual needs of users and realizes creative cohabitation through appropriate matching and feedback.

[0246] The following describes the processing flow.

[0247] Step 1:

[0248] Users use their devices to enter their profile information. This information includes creative genres, career goals, and lifestyle. This information is fundamental to understanding the user's orientation. The device formats the data appropriately and sends it to the server.

[0249] Step 2:

[0250] The server receives user data sent from the terminal and stores it in the database. Simultaneously with saving, it activates a generation AI algorithm to analyze the user's preferences. The analysis matches the user with other users who have similar characteristics based on the user's input information.

[0251] Step 3:

[0252] Based on the analysis results, the server extracts the most suitable properties for the user from the database. The selected property information is comprehensively evaluated to include the environmental conditions the user desires (e.g., soundproofing, presence of common spaces, etc.).

[0253] Step 4:

[0254] The server organizes the matched users and property listings and sends them to the terminal. The terminal displays the received information to the user, allowing them to compare each option in detail.

[0255] Step 5:

[0256] The user uses their device to review and select suggested roommates and properties. Once selections are complete, they send their selections to the server via their device.

[0257] Step 6:

[0258] The server receives the user's selection, contacts the selected property and the matched user, and arranges contracts and reservations based on that information.

[0259] Step 7:

[0260] Users can select mentoring sessions with industry professionals on their devices. They specify the date and time on their devices and send the reservation information to the server.

[0261] Step 8:

[0262] The server confirms reservations and manages the scheduling of mentoring sessions. After adjustments are made, confirmation information is sent to the user's device and notifications are sent via the reminder function.

[0263] Step 9:

[0264] The server regularly updates information about career opportunities offered by partner companies and notifies the appropriate users. Users check the notifications via their devices and apply to projects that interest them.

[0265] Step 10:

[0266] The server receives application information and submits it to partner companies. It then sends feedback and results from the companies to the user and guides them through the next steps.

[0267] Step 11:

[0268] Users reserve creative spaces using their devices. Based on the reservation requests received by the server, the server updates the space's availability and sends a confirmation notification to the user.

[0269] This series of processes allows users to live in an environment conducive to creative activities and to take advantage of diverse opportunities for growth.

[0270] (Example 1)

[0271] 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."

[0272] Providing an optimal communal living environment for individual users engaged in creative activities requires appropriate matching based on diverse orientations and lifestyles. However, conventional systems have struggled to provide a flexible and efficient environment based on users' detailed needs and future goals. In particular, the lack of adequate space management and coordination of guidance from industry experts to support creative activities has been a challenge, hindering users' creativity.

[0273] 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.

[0274] In this invention, the server includes input means for collecting users' personal information, calculation means for analyzing the user's preferences using generating AI based on the collected user information and matching them with other cooperative users, and selection means for selecting and proposing apartment complex information based on the user's preferences. This makes it possible to generate an optimal collaborative activity environment that meets the needs of individual users.

[0275] A "user" is an individual or group that uses the system, inputting information about their creative activities and seeking appropriate living environments and support.

[0276] "Personal information" refers to information that users provide to the system, including data such as creative fields, career goals, and lifestyle.

[0277] "Generative AI" is an artificial intelligence technology used to analyze user preferences. It is a model that performs pattern recognition based on large amounts of data and generates optimal suggestions for the user.

[0278] "Orientation" is a concept that collectively refers to a user's interests, goals, and preferences in their creative activities, and it is an element that the system uses to perform matching and make suggestions based on this information.

[0279] The "computing means" is a function that performs analysis and matching using an AI model based on the user's input information, and is a technology that supports the process of selecting the optimal environment and roommates.

[0280] The "selection means" is a function that selects collective housing information and related proposals based on the user's orientation, and is an element involved in the process of providing options suitable for the user.

[0281] The "collective housing information" is data related to housing where multiple individuals can live together, and includes details to meet the user's requirements such as soundproofing facilities and location conditions.

[0282] The "facility management means" is a function that manages the reservation and usage status of spaces for supporting creative activities, and is a technology that enables efficient utilization of spaces.

[0283] This invention relates to the construction of a system that provides an optimal co-living environment for users engaged in creative activities. The specific embodiments are shown below.

[0284] First, the user accesses the system using a terminal and inputs their personal information. This information includes the creative field, career goals, and lifestyle. The terminal organizes this information in a specific format and sends it to the server. Standard communication means via the Internet are used for data transmission.

[0285] The server processes the received data and analyzes the user's orientation using a generated AI model. The generated AI uses a powerful computing platform hosted on a cloud service to evaluate the user's orientation based on a large amount of data. Through this analysis, the server selects the optimal roommates and housing options for the user.

[0286] Based on the analysis results, the server generates proposals according to the needs of the user. For example, if the user has preferences such as "classical music" and "quiet environment", the server may propose apartment buildings with soundproof facilities or roommates with similar preferences. The server then sends the proposed options to the user's terminal for display.

[0287] Furthermore, the user can reserve a creative space or a guidance session with industry experts through the terminal. The server manages this reservation information in an integrated manner and presents the real-time reservation status to the user.

[0288] As a specific example, when the user inputs a prompt such as "specializes in classical music and wants to join an orchestra within two years. Values a quiet environment", the server selects relevant properties and roommates preferentially based on this information and makes the most suitable proposal for the user.

[0289] The purpose of this system is to provide new value to users engaged in creative activities by automatically collecting user information and selecting and proposing an optimal co-living environment. For this purpose, the generative AI model is effectively utilized, and efforts are made to improve the user experience.

[0290] The flow of the specific process in Example 1 will be described using FIG. 11.

[0291] Step 1:

[0292] The user uses the terminal to input their personal information. This input includes the creative field, career goals, and lifestyle. When the user completes the form for data input and clicks the send button, the data is sent.

[0293] Step 2:

[0294] The terminal organizes the entered personal information into a specified format and sends it to the server. The data is often sent in formatted JSON. The output here is user data in a format that the server can process.

[0295] Step 3:

[0296] The server analyzes the data received from the terminal. Using a generative AI model, it analyzes the user's preferences and identifies suitable roommate candidates and properties. In this process, the AI ​​refers to a vast dataset and optimizes itself through pattern recognition. As a result of the analysis, a list of candidates to be suggested to the user is output.

[0297] Step 4:

[0298] Based on the analysis results, the server generates suggested properties and roommate candidates. It constructs a list of optimal options tailored to the user's preferences. Specifically, it lists information on apartment buildings and individuals that match the user's requirements.

[0299] Step 5:

[0300] The server sends the generated list of suggestions to the user's terminal. The user can review the suggested options on their terminal and select items of interest. At this stage, the output is the list of suggestions displayed on the user's terminal.

[0301] Step 6:

[0302] Users book creative spaces and mentoring sessions with industry experts through their devices. This booking information is sent to a server, which manages the booking status and adjusts schedules. The output is a booking confirmation, which is presented to the user.

[0303] Step 7:

[0304] The server integrally manages all reservation information and performs real-time updates. This includes matters where reservations are confirmed or changed. The server notifies the user of the reservation status and makes necessary adjustments. The final output is the confirmation information of the reservation status displayed on the user's terminal.

[0305] (Application Example 1)

[0306] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0307] In modern creative activities and product development sites, it is required to construct an efficient working environment and optimize the compatibility of collaborative work. However, in conventional systems, there are insufficient means to manage and visualize these in real time. For this reason, users may not be able to proceed with work efficiently, and productivity may be impaired.

[0308] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following respective means.

[0309] In this invention, the server includes an input means for collecting user profile data, an arithmetic means for analyzing the user's orientation based on the collected user data and matching with other users with good compatibility, an analysis means for optimizing work efficiency using a generative AI, and a visualization means for checking the progress of work in real time. Thereby, an optimal collaborative work environment is provided for the user, and efficient work progress becomes possible.

[0310] The "input means" is a device or interface for collecting user profile data.

[0311] The "arithmetic means" is a device for analyzing the user's orientation based on the collected user data and performing matching with other users with good compatibility.

[0312] The "selection method" refers to a function that selects property information based on the user's preferences and proposes it to the user.

[0313] "Display means" refers to a device for presenting proposed properties and potential roommates to the user.

[0314] The "reservation method" refers to the function of reserving and managing mentoring sessions with industry experts.

[0315] "Management means" refers to devices and functions for providing career opportunities from partner companies and managing user applications.

[0316] "Space management means" refers to devices and functions for managing reservations of creative spaces.

[0317] "Analysis means" refers to a function that analyzes data using generative AI to optimize work efficiency.

[0318] "Visualization means" refers to display devices or functions that allow for real-time monitoring of work progress.

[0319] The system for realizing this invention combines multiple means to support the user's creative activities and product development. Its key feature is that the server, terminal, and user work together to complete a series of processes.

[0320] The server receives and collects profile data from users through input methods. This includes information such as the user's creative genre, career goals, and lifestyle. As a computational tool, the server uses a generative AI model to analyze the user's preferences based on the collected data. Based on this analysis, it identifies and suggests compatible roommates and properties using a selection tool. These suggestions are displayed on the user's terminal via a display tool.

[0321] Furthermore, the server allows users to book and manage mentoring sessions with industry experts using a reservation system. The management system provides users with career opportunities from partner companies, and application status is properly managed. In addition, reservations for creative spaces are managed through a space management system.

[0322] This system utilizes generative AI to perform efficiency analysis, and the progress of the work is displayed to the user in real time using visualization tools. For example, by wearing smart glasses, the progress of product development within the factory is visualized, and the results of the generative AI analysis are presented in real time. The generative AI model could potentially include, for example, GPT-4.

[0323] An example of a prompt message is, "Please suggest the optimal workflow for this manufacturing process. How can we optimize the current layout and resources?" This example allows users to understand how they can utilize the system in specific situations.

[0324] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0325] Step 1:

[0326] The device receives profile data from the user. This data includes information such as creative genre, career goals, and lifestyle. This data is formatted by the device and sent to the server for the next step.

[0327] Step 2:

[0328] The server receives profile data from the terminal. To analyze the received data, it activates a generative AI model to identify the user's preferences. In this step, the input profile data is processed for analysis, and the analysis results generate information about the user's needs and preferences.

[0329] Step 3:

[0330] Based on the analysis results, the server uses computational methods to identify other compatible users and property information. In this step, a matching algorithm is executed using the directional data generated by the generative AI model, and a list of roommates and recommended properties is output.

[0331] Step 4:

[0332] The server sends selected roommate candidates and property information to the terminal. The terminal receives this information and presents it to the user as a list using a display device. The user can then make a selection based on the presented information.

[0333] Step 5:

[0334] If a user wishes to book a mentoring session with an industry expert based on their selected information, they submit a booking request through their device. The server processes this request using the booking system and manages and adjusts the schedule.

[0335] Step 6:

[0336] The server provides users with career opportunity information from partner companies through a management system. This information is displayed to the user via their terminal, and if the user is interested, it provides an interface for managing the application process.

[0337] Step 7:

[0338] Simultaneously, the server uses generated AI models to perform analysis aimed at improving the efficiency of projects and tasks the user is involved in. The results are displayed as real-time feedback through visualization tools, allowing the user to adjust their work based on this feedback.

[0339] 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.

[0340] This invention relates to a system that improves the user experience by combining an emotion engine with a conventional shared living platform. In this system, the user first inputs their profile information using a terminal. The profile includes basic data such as creative genre, career goals, and lifestyle. This information is formatted by the terminal and sent to the server.

[0341] The server analyzes the received profile data using a generative AI and an emotion engine. The emotion engine recognizes the user's emotional state through voice, text, and facial expression data provided by the user. This emotional information is used for user preference analysis and optimized matching. As a result, the server suggests roommate candidates and property information that are adapted to the user's mental state, providing the optimal environment that matches the user's lifestyle and emotions.

[0342] For example, if a user is feeling "busy," the server will prioritize suggesting quiet properties where they can relax or shared houses with good support systems. Similarly, if a user is feeling "excited," the server will suggest vibrant communities focused on creative activities.

[0343] Furthermore, users can book customized mentoring sessions based on emotion recognition via their device. This system allows for monitoring the user's emotional state during the mentoring session, enabling adjustments to the session content on the spot. For example, if a user is experiencing stress, the session might be modified to focus on relaxation techniques.

[0344] When partner companies offer career opportunities, the emotional engine identifies and presents opportunities tailored to the user's emotions, allowing users to identify opportunities that are a better fit for them. Furthermore, when users book creative spaces using their devices, emotional information is used to provide the most suitable space options.

[0345] This invention allows users to enjoy a living space that goes beyond mere dwelling conditions, providing emotional satisfaction. This system can understand the user's emotional state and respond to their unspoken needs.

[0346] The following describes the processing flow.

[0347] Step 1:

[0348] Users use their devices to enter personal profile information. This information includes creative genre, career goals, lifestyle, and emotional information in voice and text format. The device formats this information appropriately and sends it to the server.

[0349] Step 2:

[0350] The server stores the received data in a database and activates a generative AI and emotion engine to analyze the user's orientation and emotional state. The emotion engine extracts emotions from the voice and evaluates the user's mental state in real time, combining them with text and facial expression data.

[0351] Step 3:

[0352] Based on the analysis results, the server creates an optimal matching plan for each user. This plan includes a list of potential roommates and property information optimized for the user's emotional state. The server then organizes this information in an order that aligns with the user's preferences.

[0353] Step 4:

[0354] Matched information is sent from the server to the terminal. The terminal displays the suggestions on the user interface, presenting them in an easy-to-select format. The user uses this information to select their ideal roommate or property.

[0355] Step 5:

[0356] The user sends information about their selected candidates and properties from their device to the server. The server records these selections and automatically handles property contracts and notifications to roommates.

[0357] Step 6:

[0358] Users can view and book customized mentoring sessions based on their emotional state through their device. The server manages the booking information and notifies the specialist to adjust the session content.

[0359] Step 7:

[0360] During mentoring sessions, the server monitors the user's emotions through an emotion engine, automatically generates feedback, and adjusts the session content as needed. Based on this feedback, additional support and guidance to resources are also provided.

[0361] Step 8:

[0362] Career opportunities from partner companies are updated on the server, and sentiment-based recommendations are notified to the user's device. If the user wishes to apply for an opportunity, they can check the details on their device and submit the necessary documents through the server.

[0363] Step 9:

[0364] When users book a creative space using their device, the emotion engine presents them with recommended space options. The server updates the booking status and optimally allocates available resources.

[0365] By following this series of steps, users can obtain an optimal living environment tailored to their individual emotional state.

[0366] (Example 2)

[0367] 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".

[0368] In modern living environments, users face challenges in finding the ideal living space or cohabitation, and in making choices that align with their emotional satisfaction and individual lifestyles. Furthermore, there is a lack of real-time support based on users' emotional states and insufficient means to identify suitable career opportunities.

[0369] 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.

[0370] In this invention, the server includes an input means for acquiring the user's personal information, a calculation means for analyzing the user's preferences based on the acquired information and selecting other suitable users, and a selection means for selecting and recommending property candidates based on the user's preferences and emotional state. This makes it possible to provide a living environment that suits the user's emotions and lifestyle.

[0371] "User personal information" refers to information related to the user, such as name, address, contact information, hobbies and preferences, inclinations, and emotional state, and is data used in this system to provide appropriate services to the user.

[0372] "Input means" refers to the interface and mechanism for a user to input their own information into a system via a terminal.

[0373] "Calculation means" refers to functions that perform calculations and analyses based on acquired data to facilitate appropriate user matching and property selection.

[0374] "Selection method" refers to a system that selects the most suitable properties and roommate candidates based on analysis results and proposes them to the user.

[0375] "Display means" refers to means including monitors and displays for visually presenting selected property information and candidate information to the user.

[0376] "Adjustment mechanism" refers to a function that allows you to schedule sessions with experts as needed and change the date and content of those sessions as required.

[0377] "Control means" refers to functions for appropriately processing user application management and information provided by partner organizations, and for performing necessary controls.

[0378] "Space management means" refers to functions that manage and enable users to efficiently reserve and utilize spaces for their creative activities.

[0379] This system allows users to input their personal information using a terminal and, based on that information, provides them with the most suitable living environment and employment opportunities. Specifically, users input information such as their name, address, contact information, hobbies, preferences, inclinations, and emotional state through the terminal. The terminal formats this information and transmits it to the server using a secure protocol.

[0380] The server uses generative AI technology (e.g., large-scale neural network models) and sentiment analysis technology to analyze the received data. This allows the server to identify the user's emotional state and select potential properties and roommates based on the analysis results. Because the selected information is tailored to the user's preferences and emotional state, it contributes to improving the user's quality of life.

[0381] Furthermore, users can book customized mentoring sessions via their devices. The server coordinates schedules with experts and optimizes the session content in real time based on the user's emotional state.

[0382] For example, if a user provides data indicating that their emotional state is relaxed, the system can suggest a comfortable living environment or an active roommate. An example of a prompt when using a generative AI model would be, "What ideal property or content should be suggested if the user's emotional state is recognized as relaxed or stressed?"

[0383] In this way, the system can provide optimal choices based on the user's emotions and preferences, thereby creating a richer living space.

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

[0385] Step 1:

[0386] The user uses the terminal to enter personal information. This information includes name, address, contact information, hobbies, preferences, orientation, and emotional state. The terminal receives this input and formats it into the required format. The formatted data is then ready to be sent to the next processing step.

[0387] Step 2:

[0388] The terminal sends formatted user data to the server. To ensure data security, encryption methods such as the HTTPS protocol are used. The data received by the server is decoded and prepared for the next analysis step.

[0389] Step 3:

[0390] The server analyzes the received user data. This analysis uses generative AI models and sentiment analysis algorithms. Specifically, the AI ​​model analyzes the user's text data to understand their emotional state. The sentiment analysis results are stored in a database to be used as a basis for decisions in subsequent steps.

[0391] Step 4:

[0392] Based on the analysis results, the server generates properties and potential co-habitants that are suitable for the user's emotional state. For example, if the user's emotional state is "busy," properties that promote relaxation will be selected. Past data and statistical information are also utilized in this selection process.

[0393] Step 5:

[0394] The server sends the generated property and co-resident candidates to the user's device and presents them to the user. The user can then select the option that best matches their preferences from the candidates displayed on the device.

[0395] Step 6:

[0396] Users can book customized mentoring sessions based on the information they select. The server receives this booking information and coordinates the schedules of the experts and users. It also creates an environment that makes it easy for users to participate in the sessions, such as by sending reminders as needed.

[0397] Step 7:

[0398] The server manages job opportunities from partner organizations and provides optimal career suggestions based on the user's emotional state. The results are notified to the user via their device, allowing them to respond appropriately.

[0399] (Application Example 2)

[0400] 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."

[0401] In traditional brick-and-mortar stores, accurately understanding the emotions and needs of customers and providing products and services accordingly is difficult. A system is needed that can propose services tailored to each customer's emotional state in real time. The challenge is to improve customer satisfaction and enhance store sales and reputation through this process.

[0402] 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.

[0403] In this invention, the server includes emotion analysis means for evaluating the user's emotional state, selection means for selecting and proposing products and services based on the emotional data, and input means for collecting and analyzing customer profile data. This makes it possible to propose products and provide services that are tailored to the emotional state of the customer.

[0404] "User emotional state" refers to the psychological or emotional responses a user exhibits at a specific point in time, and is analyzed from data such as voice and facial expressions.

[0405] "Emotional analysis means" refers to technology or devices that analyze a user's emotional state using voice and facial expression data.

[0406] "Selection method" refers to a system that selects products and services that match the user's needs and emotional state based on collected data.

[0407] "Input method" refers to an interface or device used to collect user profile data and sentiment data.

[0408] "Control means" refers to a method or device for adjusting service or product suggestions based on analyzed emotional data.

[0409] "Display means" refers to monitors or displays used to visually present analysis results and proposed content to the user.

[0410] "Real-time" refers to a processing speed that enables a system to respond instantly to user input and changes in circumstances.

[0411] "In-store resource management systems" refer to systems that effectively manage in-store inventory, staff allocation, and other factors to adapt to customer needs.

[0412] The system for realizing this application includes emotion analysis means, selection means, input means, control means, and display means. First, the user's facial expressions and voice are captured in real time using smart glasses as a terminal and input as profile data. This data is used to evaluate the user's emotional state through the emotion analysis means. This system uses emotion analysis software from Affectiva and smart glasses such as Google Glass.

[0413] The server uses a generative AI model to select products and services based on collected emotional data and user profile data. For example, if a customer shows signs of fatigue, relaxing products and services will be selected. In this selection process, the generative AI model performs data analysis to identify the product that best matches the customer's needs.

[0414] Next, the control system adjusts the selected suggestions in real time and displays the optimal suggestions using the display system based on the store's inventory status. This allows customers to enjoy the best possible services and products currently available.

[0415] For example, in a shop setting, if a user is feeling stressed, the system can suggest relaxation items such as aromatherapy candles or relaxing music. The server uses prompts to instruct the AI. An example of a prompt would be, "The system has determined that the user is seeking relaxation. Please recommend products or services that are appropriate for this emotional state."

[0416] This system allows stores to provide personalized service tailored to the individual needs of each customer, contributing to improved customer satisfaction.

[0417] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0418] Step 1:

[0419] The smart glasses, which act as the device, capture the user's facial expressions and voice in real time. They acquire facial and voice data as input and transmit this data to an emotion analysis system. This data is used to evaluate the user's current emotional state.

[0420] Step 2:

[0421] The server processes the received facial expression and voice data using emotion analysis tools. Here, software such as Affectiva is used to analyze the user's emotional state (e.g., relaxed, tense, tired). As a result of this analysis, the user's emotional state data is output.

[0422] Step 3:

[0423] Based on the outputted emotional state data and user profile data, the server uses a generative AI model to select the most suitable products and services using a selection method. For example, if it is determined that the user is seeking relaxation, it will consider products suitable for relaxation. In this process, the generative AI model analyzes the received data, generates prompt sentences, and issues instructions to the AI.

[0424] Step 4:

[0425] The server optimizes the list of products and services selected by the generated AI model using control devices, optimizing it according to inventory status and the store's service provision capacity. After the final proposal is confirmed, the proposal is sent from the display device to the terminal.

[0426] Step 5:

[0427] The terminal presents the user with selected products and services. The display method visually presents the suggestions in a user-friendly format. This allows the user to choose the service or product that best suits their emotional state.

[0428] 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.

[0429] 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.

[0430] 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.

[0431] [Third Embodiment]

[0432] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0433] 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.

[0434] 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).

[0435] 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.

[0436] 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.

[0437] 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).

[0438] 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.

[0439] 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.

[0440] 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.

[0441] 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.

[0442] 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.

[0443] 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".

[0444] This invention relates to the construction of a shared living platform that provides an optimal communal living environment for users engaged in creative activities. In this system, users first input their profile data using a terminal. This data includes information such as creative genre, career goals, and lifestyle. The terminal organizes this information and sends it to a server.

[0445] The server analyzes the user's preferences based on the received data. A generative AI is used in the analysis algorithm, matching the user with suitable roommates and properties based on their creative genre and lifestyle. Based on the analysis results, the server generates a list of optimal properties and proposes them to the user's device.

[0446] For example, if a user enters information such as "classical music," "joining an orchestra within two years," and "preferring a quiet environment," the server analyzes this profile and matches them with other users who have similar goals. Furthermore, it identifies properties equipped with soundproofing and suggests them to the user.

[0447] Next, users can book mentoring sessions with industry experts through their devices. The server manages this booking information and schedules the sessions. Furthermore, users who receive career opportunities from partner companies can submit their portfolios and business plans through the server. This allows users to efficiently develop as professionals.

[0448] The system also manages reservations for creative spaces such as music studios and manga production spaces to support users' creative activities. Users reserve the necessary facilities using terminals, and the server updates the reservation status, ensuring that users can work comfortably.

[0449] Thus, the present invention is a system that reflects the individual needs of users and realizes creative cohabitation through appropriate matching and feedback.

[0450] The following describes the processing flow.

[0451] Step 1:

[0452] Users use their devices to enter their profile information. This information includes creative genres, career goals, and lifestyle. This information is fundamental to understanding the user's orientation. The device formats the data appropriately and sends it to the server.

[0453] Step 2:

[0454] The server receives user data sent from the terminal and stores it in the database. Simultaneously with saving, it activates a generation AI algorithm to analyze the user's preferences. The analysis matches the user with other users who have similar characteristics based on the user's input information.

[0455] Step 3:

[0456] Based on the analysis results, the server extracts the most suitable properties for the user from the database. The selected property information is comprehensively evaluated to include the environmental conditions the user desires (e.g., soundproofing, presence of common spaces, etc.).

[0457] Step 4:

[0458] The server organizes the matched users and property listings and sends them to the terminal. The terminal displays the received information to the user, allowing them to compare each option in detail.

[0459] Step 5:

[0460] The user uses their device to review and select suggested roommates and properties. Once selections are complete, they send their selections to the server via their device.

[0461] Step 6:

[0462] The server receives the user's selection, contacts the selected property and the matched user, and arranges contracts and reservations based on that information.

[0463] Step 7:

[0464] Users can select mentoring sessions with industry professionals on their devices. They specify the date and time on their devices and send the reservation information to the server.

[0465] Step 8:

[0466] The server confirms reservations and manages the scheduling of mentoring sessions. After adjustments are made, confirmation information is sent to the user's device and notifications are sent via the reminder function.

[0467] Step 9:

[0468] The server regularly updates information about career opportunities offered by partner companies and notifies the appropriate users. Users check the notifications via their devices and apply to projects that interest them.

[0469] Step 10:

[0470] The server receives application information and submits it to partner companies. It then sends feedback and results from the companies to the user and guides them through the next steps.

[0471] Step 11:

[0472] Users reserve creative spaces using their devices. Based on the reservation requests received by the server, the server updates the space's availability and sends a confirmation notification to the user.

[0473] This series of processes allows users to live in an environment conducive to creative activities and to take advantage of diverse opportunities for growth.

[0474] (Example 1)

[0475] 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."

[0476] Providing an optimal communal living environment for individual users engaged in creative activities requires appropriate matching based on diverse orientations and lifestyles. However, conventional systems have struggled to provide a flexible and efficient environment based on users' detailed needs and future goals. In particular, the lack of adequate space management and coordination of guidance from industry experts to support creative activities has been a challenge, hindering users' creativity.

[0477] 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.

[0478] In this invention, the server includes input means for collecting users' personal information, calculation means for analyzing the user's preferences using generating AI based on the collected user information and matching them with other cooperative users, and selection means for selecting and proposing apartment complex information based on the user's preferences. This makes it possible to generate an optimal collaborative activity environment that meets the needs of individual users.

[0479] A "user" is an individual or group that uses the system, inputting information about their creative activities and seeking appropriate living environments and support.

[0480] "Personal information" refers to information that users provide to the system, including data such as creative fields, career goals, and lifestyle.

[0481] "Generative AI" is an artificial intelligence technology used to analyze user preferences. It is a model that performs pattern recognition based on large amounts of data and generates optimal suggestions for the user.

[0482] "Orientation" is a concept that collectively refers to a user's interests, goals, and preferences in their creative activities, and it is an element that the system uses to perform matching and make suggestions based on this information.

[0483] The "computational means" refers to a function that uses an AI model to analyze and match information based on user input, and is a technology that supports the process of selecting the optimal environment and roommates.

[0484] "Selection method" refers to a function that selects apartment complex information and related suggestions based on the user's preferences, and is an element involved in the process of providing users with suitable options.

[0485] "Apartment building information" refers to data about housing where multiple individuals can live together, including details such as soundproofing facilities and location conditions to meet user requirements.

[0486] "Facility management means" refers to functions that manage the reservation and usage status of spaces to support creative activities, and is a technology that enables the efficient use of space.

[0487] This invention relates to the construction of a system that provides an optimal communal living environment for users engaged in creative activities. Specific embodiments are described below.

[0488] Users first access the system using a terminal and enter their personal information. This information includes their creative field, career goals, and lifestyle. The terminal organizes this information in a specific format and sends it to the server. Standard communication methods via the internet are used for data transmission.

[0489] The server processes the received data and analyzes the user's preferences using a generative AI model. The generative AI leverages a powerful computing platform hosted on a cloud service to evaluate user preferences based on large amounts of data. This analysis allows the server to select the most suitable roommates and housing options for the user.

[0490] Based on the analysis results, the server generates suggestions tailored to the user's needs. For example, if a user has preferences such as "classical music" or "a quiet environment," the server will suggest soundproofed apartments or roommates with similar preferences. The server then sends the suggested options to the user's device for display.

[0491] Furthermore, users can book creative spaces and mentoring sessions with industry experts through their devices. The server centrally manages this booking information and displays the booking status to users in real time.

[0492] For example, if a user enters a prompt such as, "I specialize in classical music and want to join an orchestra within two years. I value a quiet environment," the server will use this information to prioritize selecting suitable properties and roommates, providing the best possible suggestions for the user.

[0493] This system aims to provide new value to users engaged in creative activities by automatically collecting user information and selecting and proposing the optimal shared living environment. To this end, it effectively utilizes generative AI models and incorporates features to improve the user experience.

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

[0495] Step 1:

[0496] Users enter their personal information using their device. This information includes their creative field, career goals, and lifestyle. The data is submitted when the user completes the data entry form and clicks the submit button.

[0497] Step 2:

[0498] The terminal organizes the entered personal information into a specified format and sends it to the server. The data is often sent in formatted JSON. The output here is user data in a format that the server can process.

[0499] Step 3:

[0500] The server analyzes the data received from the terminal. Using a generative AI model, it analyzes the user's preferences and identifies suitable roommate candidates and properties. In this process, the AI ​​refers to a vast dataset and optimizes itself through pattern recognition. As a result of the analysis, a list of candidates to be suggested to the user is output.

[0501] Step 4:

[0502] Based on the analysis results, the server generates suggested properties and roommate candidates. It constructs a list of optimal options tailored to the user's preferences. Specifically, it lists information on apartment buildings and individuals that match the user's requirements.

[0503] Step 5:

[0504] The server sends the generated list of suggestions to the user's device. The user can review the suggested options on their device and select items of interest. At this stage, the output is the list of suggestions displayed on the user's device.

[0505] Step 6:

[0506] Users book creative spaces and mentoring sessions with industry experts through their devices. This booking information is sent to a server, which manages the booking status and adjusts schedules. The output is a booking confirmation, which is presented to the user.

[0507] Step 7:

[0508] The server centrally manages all reservation information and updates it in real time. This includes confirmed or modified reservations. The server notifies the user of the reservation status and makes any necessary adjustments. The final output is reservation status confirmation information displayed on the user's terminal.

[0509] (Application Example 1)

[0510] 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."

[0511] In modern creative activities and product development, there is a need to create an efficient work environment and optimize the compatibility of collaborative work. However, conventional systems lack sufficient means to manage and visualize these aspects in real time. As a result, users may not be able to work efficiently, and productivity may be impaired.

[0512] 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.

[0513] In this invention, the server includes input means for collecting user profile data, calculation means for analyzing the user's preferences based on the collected user data and matching them with other compatible users, analysis means for optimizing work efficiency using generated AI, and visualization means for checking the progress of work in real time. This provides users with an optimal collaborative work environment and enables efficient work progress.

[0514] "Input means" refers to a device or interface for collecting user profile data.

[0515] A "computational means" is a device that analyzes user preferences based on collected user data and matches them with other compatible users.

[0516] The "selection method" refers to a function that selects property information based on the user's preferences and proposes it to the user.

[0517] "Display means" refers to a device for presenting proposed properties and potential roommates to the user.

[0518] The "reservation method" refers to the function of reserving and managing mentoring sessions with industry experts.

[0519] "Management means" refers to devices and functions for providing career opportunities from partner companies and managing user applications.

[0520] "Space management means" refers to devices and functions for managing reservations of creative spaces.

[0521] "Analysis means" refers to a function that analyzes data using generative AI to optimize work efficiency.

[0522] "Visualization means" refers to display devices or functions that allow for real-time monitoring of work progress.

[0523] The system for realizing this invention combines multiple means to support users' creative activities and product development. Its key feature is that the server, terminal, and user work together to complete a series of processes.

[0524] The server receives and collects profile data from users through input methods. This includes information such as the user's creative genre, career goals, and lifestyle. As a computational tool, the server uses a generative AI model to analyze the user's preferences based on the collected data. Based on this analysis, it identifies and suggests compatible roommates and properties using a selection tool. These suggestions are displayed on the user's terminal via a display tool.

[0525] Furthermore, the server allows users to book and manage mentoring sessions with industry experts using a reservation system. The management system provides users with career opportunities from partner companies, and application status is properly managed. In addition, reservations for creative spaces are managed through a space management system.

[0526] This system utilizes generative AI to perform efficiency analysis, and the progress of the work is displayed to the user in real time using visualization tools. For example, by wearing smart glasses, the progress of product development within the factory is visualized, and the results of the generative AI analysis are presented in real time. The generative AI model could potentially include, for example, GPT-4.

[0527] An example of a prompt message is, "Please suggest the optimal workflow for this manufacturing process. How can we optimize the current layout and resources?" This example allows users to understand how they can utilize the system in specific situations.

[0528] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0529] Step 1:

[0530] The device receives profile data from the user. This data includes information such as creative genre, career goals, and lifestyle. This data is formatted by the device and sent to the server for the next step.

[0531] Step 2:

[0532] The server receives profile data from the terminal. To analyze the received data, it activates a generative AI model to identify the user's preferences. In this step, the input profile data is processed for analysis, and the analysis results generate information about the user's needs and preferences.

[0533] Step 3:

[0534] Based on the analysis results, the server uses computational methods to identify other compatible users and property information. In this step, a matching algorithm is executed using the directional data generated by the generative AI model, and a list of roommates and recommended properties is output.

[0535] Step 4:

[0536] The server sends selected roommate candidates and property information to the terminal. The terminal receives this information and presents it to the user as a list using a display device. The user can then make a selection based on the presented information.

[0537] Step 5:

[0538] If a user wishes to book a mentoring session with an industry expert based on their selected information, they submit a booking request through their device. The server processes this request using the booking system and manages and adjusts the schedule.

[0539] Step 6:

[0540] The server provides users with career opportunity information from partner companies through a management system. This information is displayed to the user via their terminal, and if the user is interested, it provides an interface for managing the application process.

[0541] Step 7:

[0542] Simultaneously, the server uses generated AI models to perform analyses aimed at improving the efficiency of projects and tasks the user is involved in. The results are displayed as real-time feedback through visualization tools, allowing the user to adjust their work based on this feedback.

[0543] 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.

[0544] This invention relates to a system that improves the user experience by combining an emotion engine with a conventional shared living platform. In this system, the user first inputs their profile information using a terminal. The profile includes basic data such as creative genre, career goals, and lifestyle. This information is formatted by the terminal and sent to the server.

[0545] The server analyzes the received profile data using a generative AI and an emotion engine. The emotion engine recognizes the user's emotional state through voice, text, and facial expression data provided by the user. This emotional information is used for user preference analysis and optimized matching. As a result, the server suggests roommate candidates and property information that are adapted to the user's mental state, providing the optimal environment that matches the user's lifestyle and emotions.

[0546] For example, if a user is feeling "busy," the server will prioritize suggesting quiet properties where they can relax or shared houses with good support systems. Similarly, if a user is feeling "excited," the server will suggest enthusiastic communities focused on creative activities.

[0547] Furthermore, users can book customized mentoring sessions based on emotion recognition via their device. This system allows for monitoring the user's emotional state during the mentoring session, enabling adjustments to the session content on the spot. For example, if a user is experiencing stress, the session might be modified to focus on relaxation techniques.

[0548] When partner companies offer career opportunities, the emotional engine identifies and presents opportunities tailored to the user's emotions, allowing users to identify opportunities that are a better fit for them. Furthermore, when users book creative spaces using their devices, emotional information is used to provide the most suitable space options.

[0549] This invention allows users to enjoy a living space that goes beyond mere dwelling conditions, providing emotional satisfaction. This system can understand the user's emotional state and respond to their unspoken needs.

[0550] The following describes the processing flow.

[0551] Step 1:

[0552] Users use their devices to enter personal profile information. This information includes creative genre, career goals, lifestyle, and emotional information in voice and text format. The device formats this information appropriately and sends it to the server.

[0553] Step 2:

[0554] The server stores the received data in a database and activates a generative AI and emotion engine to analyze the user's orientation and emotional state. The emotion engine extracts emotions from the voice and evaluates the user's mental state in real time, combining them with text and facial expression data.

[0555] Step 3:

[0556] Based on the analysis results, the server creates an optimal matching plan for each user. This plan includes a list of potential roommates and property information optimized for the user's emotional state. The server then organizes this information in an order that aligns with the user's preferences.

[0557] Step 4:

[0558] Matched information is sent from the server to the terminal. The terminal displays the suggestions on the user interface, presenting them in an easy-to-select format. The user uses this information to select their ideal roommate or property.

[0559] Step 5:

[0560] The user sends information about their selected candidates and properties from their device to the server. The server records these selections and automatically handles property contracts and notifications to roommates.

[0561] Step 6:

[0562] Users can view and book customized mentoring sessions based on their emotional state through their device. The server manages the booking information and notifies the specialist to adjust the session content.

[0563] Step 7:

[0564] During mentoring sessions, the server monitors the user's emotions through an emotion engine, automatically generates feedback, and adjusts the session content as needed. Based on this feedback, additional support and guidance to resources are also provided.

[0565] Step 8:

[0566] Career opportunities from partner companies are updated on the server, and sentiment-based recommendations are notified to the user's device. If the user wishes to apply for an opportunity, they can check the details on their device and submit the necessary documents through the server.

[0567] Step 9:

[0568] When users book a creative space using their device, the emotion engine presents them with recommended space options. The server updates the booking status and optimally allocates available resources.

[0569] By following this series of steps, users can obtain an optimal living environment tailored to their individual emotional state.

[0570] (Example 2)

[0571] 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."

[0572] In modern living environments, users face challenges in finding the ideal living space or cohabitation, and in making choices that align with their emotional satisfaction and individual lifestyles. Furthermore, there is a lack of real-time support based on users' emotional states and insufficient means to identify suitable career opportunities.

[0573] 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.

[0574] In this invention, the server includes an input means for acquiring the user's personal information, a calculation means for analyzing the user's preferences based on the acquired information and selecting other suitable users, and a selection means for selecting and recommending property candidates based on the user's preferences and emotional state. This makes it possible to provide a living environment that suits the user's emotions and lifestyle.

[0575] "User personal information" refers to information related to the user, such as name, address, contact information, hobbies and preferences, inclinations, and emotional state, and is data used in this system to provide appropriate services to the user.

[0576] "Input means" refers to the interface and mechanism for a user to input their own information into a system via a terminal.

[0577] "Calculation means" refers to functions that perform calculations and analyses based on acquired data to facilitate appropriate user matching and property selection.

[0578] "Selection method" refers to a system that selects the most suitable properties and roommate candidates based on analysis results and proposes them to the user.

[0579] "Display means" refers to means including monitors and displays for visually presenting selected property information and candidate information to the user.

[0580] "Adjustment mechanism" refers to a function that allows you to schedule sessions with experts as needed and change the date and content of those sessions as required.

[0581] "Control means" refers to functions for appropriately processing user application management and information provided by partner organizations, and for performing necessary controls.

[0582] "Space management means" refers to functions that manage and enable users to efficiently reserve and utilize spaces for their creative activities.

[0583] This system allows users to input their personal information using a terminal and, based on that information, provides them with the most suitable living environment and employment opportunities. Specifically, users input information such as their name, address, contact information, hobbies, preferences, inclinations, and emotional state through the terminal. The terminal formats this information and transmits it to the server using a secure protocol.

[0584] The server uses generative AI technology (e.g., large-scale neural network models) and sentiment analysis technology to analyze the received data. This allows the server to identify the user's emotional state and select potential properties and roommates based on the analysis results. Because the selected information is tailored to the user's preferences and emotional state, it contributes to improving the user's quality of life.

[0585] Furthermore, users can book customized mentoring sessions via their devices. The server coordinates schedules with experts and optimizes the session content in real time based on the user's emotional state.

[0586] For example, if a user provides data indicating that their emotional state is relaxed, the system can suggest a comfortable living environment or an active roommate. An example of a prompt when using a generative AI model would be, "What ideal property or content should be suggested if the user's emotional state is recognized as relaxed or stressed?"

[0587] In this way, the system can provide optimal choices based on the user's emotions and preferences, thereby creating a richer living space.

[0588] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0589] Step 1:

[0590] The user uses the terminal to enter personal information. This information includes name, address, contact information, hobbies, preferences, orientation, and emotional state. The terminal receives this input and formats it into the required format. The formatted data is then ready to be sent to the next processing step.

[0591] Step 2:

[0592] The terminal sends formatted user data to the server. To ensure data security, encryption methods such as the HTTPS protocol are used. The data received by the server is decoded and prepared for the next analysis step.

[0593] Step 3:

[0594] The server analyzes the received user data. This analysis uses generative AI models and sentiment analysis algorithms. Specifically, the AI ​​model analyzes the user's text data to understand their emotional state. The sentiment analysis results are stored in a database to be used as a basis for decisions in subsequent steps.

[0595] Step 4:

[0596] Based on the analysis results, the server generates properties and potential co-habitants that are suitable for the user's emotional state. For example, if the user's emotional state is "busy," properties that promote relaxation will be selected. Past data and statistical information are also utilized in this selection process.

[0597] Step 5:

[0598] The server sends the generated property and co-resident candidates to the user's device and presents them to the user. The user can then select the option that best matches their preferences from the candidates displayed on the device.

[0599] Step 6:

[0600] Users can book customized mentoring sessions based on the information they select. The server receives this booking information and coordinates the schedules of the experts and users. It also creates an environment that makes it easy for users to participate in the sessions, such as by sending reminders as needed.

[0601] Step 7:

[0602] The server manages job opportunities from partner organizations and provides optimal career suggestions based on the user's emotional state. The results are notified to the user via their device, allowing them to respond appropriately.

[0603] (Application Example 2)

[0604] 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."

[0605] In traditional brick-and-mortar stores, accurately understanding the emotions and needs of customers and providing products and services accordingly is difficult. A system is needed that can propose services tailored to each customer's emotional state in real time. The challenge is to improve customer satisfaction and enhance store sales and reputation through this process.

[0606] 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.

[0607] In this invention, the server includes emotion analysis means for evaluating the user's emotional state, selection means for selecting and proposing products and services based on the emotional data, and input means for collecting and analyzing customer profile data. This makes it possible to propose products and provide services that are tailored to the emotional state of the customer.

[0608] "User emotional state" refers to the psychological or emotional responses a user exhibits at a specific point in time, and is analyzed from data such as voice and facial expressions.

[0609] "Emotional analysis means" refers to technology or devices that analyze a user's emotional state using voice and facial expression data.

[0610] "Selection method" refers to a system that selects products and services that match the user's needs and emotional state based on collected data.

[0611] "Input method" refers to an interface or device used to collect user profile data and sentiment data.

[0612] "Control means" refers to a method or device for adjusting service or product suggestions based on analyzed emotional data.

[0613] "Display means" refers to monitors or displays used to visually present analysis results and proposed content to the user.

[0614] "Real-time" refers to a processing speed that enables a system to respond instantly to user input and changes in circumstances.

[0615] "In-store resource management systems" refer to systems that effectively manage in-store inventory, staff allocation, and other factors to adapt to customer needs.

[0616] The system for realizing this application includes emotion analysis means, selection means, input means, control means, and display means. First, the user's facial expressions and voice are captured in real time using smart glasses as a terminal and input as profile data. This data is used to evaluate the user's emotional state through the emotion analysis means. This system uses emotion analysis software from Affectiva and smart glasses such as Google Glass.

[0617] The server uses a generative AI model to select products and services based on collected emotional data and user profile data. For example, if a customer shows signs of fatigue, relaxing products and services will be selected. In this selection process, the generative AI model performs data analysis to identify the product that best matches the customer's needs.

[0618] Next, the control system adjusts the selected suggestions in real time and displays the optimal suggestions using the display system based on the store's inventory status. This allows customers to enjoy the best possible services and products currently available.

[0619] For example, in a shop setting, if a user is feeling stressed, the system can suggest relaxation items such as aromatherapy candles or relaxing music. The server uses prompts to instruct the AI. An example of a prompt would be, "The system has determined that the user is seeking relaxation. Please recommend products or services that are appropriate for this emotional state."

[0620] This system allows stores to provide personalized service tailored to the individual needs of each customer, contributing to improved customer satisfaction.

[0621] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0622] Step 1:

[0623] The smart glasses, which act as the terminal, capture the user's facial expressions and voice in real time. They acquire facial and voice data as input and transmit this data to an emotion analysis system. This data is used to evaluate the user's current emotional state.

[0624] Step 2:

[0625] The server processes the received facial expression and voice data using emotion analysis tools. Software such as Affectiva is used to analyze the user's emotional state (e.g., relaxed, tense, tired). The user's emotional state data is output as a result of this analysis.

[0626] Step 3:

[0627] Based on the outputted emotional state data and user profile data, the server uses a generative AI model to select the most suitable products and services using a selection method. For example, if it is determined that the user is seeking relaxation, it will consider products suitable for relaxation. In this process, the generative AI model analyzes the received data, generates prompt sentences, and issues instructions to the AI.

[0628] Step 4:

[0629] The server optimizes the list of products and services selected by the generated AI model using control devices, optimizing it according to inventory status and the store's service provision capacity. After the final proposal is confirmed, the proposal is sent from the display device to the terminal.

[0630] Step 5:

[0631] The terminal presents the user with selected products and services. The display method visually presents the suggestions in a user-friendly format. This allows the user to choose the service or product that best suits their emotional state.

[0632] 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.

[0633] 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.

[0634] 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.

[0635] [Fourth Embodiment]

[0636] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0637] 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.

[0638] 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).

[0639] 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.

[0640] 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.

[0641] 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).

[0642] 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.

[0643] 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.

[0644] 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.

[0645] 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.

[0646] 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.

[0647] 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.

[0648] 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".

[0649] This invention relates to the construction of a shared living platform that provides an optimal communal living environment for users engaged in creative activities. In this system, users first input their profile data using a terminal. This data includes information such as creative genre, career goals, and lifestyle. The terminal organizes this information and sends it to a server.

[0650] The server analyzes the user's preferences based on the received data. A generative AI is used in the analysis algorithm, matching the user with suitable roommates and properties based on their creative genre and lifestyle. Based on the analysis results, the server generates a list of optimal properties and proposes them to the user's device.

[0651] For example, if a user enters information such as "classical music," "joining an orchestra within two years," and "preferring a quiet environment," the server analyzes this profile and matches them with other users who have similar goals. Furthermore, it identifies properties equipped with soundproofing and suggests them to the user.

[0652] Next, users can book mentoring sessions with industry experts through their devices. The server manages this booking information and schedules the sessions. Furthermore, users who receive career opportunities from partner companies can submit their portfolios and business plans through the server. This allows users to efficiently develop as professionals.

[0653] The system also manages reservations for creative spaces such as music studios and manga production spaces to support users' creative activities. Users reserve the necessary facilities using terminals, and the server updates the reservation status, ensuring that users can work comfortably.

[0654] Thus, the present invention is a system that reflects the individual needs of users and realizes creative cohabitation through appropriate matching and feedback.

[0655] The following describes the processing flow.

[0656] Step 1:

[0657] Users use their devices to enter their profile information. This information includes creative genres, career goals, and lifestyle. This information is fundamental to understanding the user's orientation. The device formats the data appropriately and sends it to the server.

[0658] Step 2:

[0659] The server receives user data sent from the terminal and stores it in the database. Simultaneously with saving, it activates a generation AI algorithm to analyze the user's preferences. The analysis matches the user with other users who have similar characteristics based on the user's input information.

[0660] Step 3:

[0661] Based on the analysis results, the server extracts the most suitable properties for the user from the database. The selected property information is comprehensively evaluated to include the environmental conditions the user desires (e.g., soundproofing, presence of common spaces, etc.).

[0662] Step 4:

[0663] The server organizes the matched users and property listings and sends them to the terminal. The terminal displays the received information to the user, allowing them to compare each option in detail.

[0664] Step 5:

[0665] The user uses their device to review and select suggested roommates and properties. Once selections are complete, they send their selections to the server via their device.

[0666] Step 6:

[0667] The server receives the user's selection, contacts the selected property and the matched user, and arranges contracts and reservations based on that information.

[0668] Step 7:

[0669] Users can select mentoring sessions with industry professionals on their devices. They specify the date and time on their devices and send the reservation information to the server.

[0670] Step 8:

[0671] The server confirms reservations and manages the scheduling of mentoring sessions. After adjustments are made, confirmation information is sent to the user's device and notifications are sent via the reminder function.

[0672] Step 9:

[0673] The server regularly updates information about career opportunities offered by partner companies and notifies the appropriate users. Users check the notifications via their devices and apply to projects that interest them.

[0674] Step 10:

[0675] The server receives application information and submits it to partner companies. It then sends feedback and results from the companies to the user and guides them through the next steps.

[0676] Step 11:

[0677] Users reserve creative spaces using their devices. Based on the reservation requests received by the server, the server updates the space's availability and sends a confirmation notification to the user.

[0678] This series of processes allows users to live in an environment conducive to creative activities and to take advantage of diverse opportunities for growth.

[0679] (Example 1)

[0680] 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".

[0681] Providing an optimal communal living environment for individual users engaged in creative activities requires appropriate matching based on diverse orientations and lifestyles. However, conventional systems have struggled to provide a flexible and efficient environment based on users' detailed needs and future goals. In particular, the lack of adequate space management and coordination of guidance from industry experts to support creative activities has been a challenge, hindering users' creativity.

[0682] 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.

[0683] In this invention, the server includes input means for collecting users' personal information, calculation means for analyzing the user's preferences using generating AI based on the collected user information and matching them with other cooperative users, and selection means for selecting and proposing apartment complex information based on the user's preferences. This makes it possible to generate an optimal collaborative activity environment that meets the needs of individual users.

[0684] A "user" is an individual or group that uses the system, inputting information about their creative activities and seeking appropriate living environments and support.

[0685] "Personal information" refers to information that users provide to the system, including data such as creative fields, career goals, and lifestyle.

[0686] "Generative AI" is an artificial intelligence technology used to analyze user preferences. It is a model that performs pattern recognition based on large amounts of data and generates optimal suggestions for the user.

[0687] "Orientation" is a concept that collectively refers to a user's interests, goals, and preferences in their creative activities, and it is an element that the system uses to perform matching and make suggestions based on this information.

[0688] The "computational means" refers to a function that uses an AI model to analyze and match information based on user input, and is a technology that supports the process of selecting the optimal environment and roommates.

[0689] "Selection method" refers to a function that selects apartment complex information and related suggestions based on the user's preferences, and is an element involved in the process of providing users with suitable options.

[0690] "Apartment building information" refers to data about housing where multiple individuals can live together, including details such as soundproofing facilities and location conditions to meet user requirements.

[0691] "Facility management means" refers to functions that manage the reservation and usage status of spaces to support creative activities, and is a technology that enables the efficient use of space.

[0692] This invention relates to the construction of a system that provides an optimal communal living environment for users engaged in creative activities. Specific embodiments are described below.

[0693] Users first access the system using a terminal and enter their personal information. This information includes their creative field, career goals, and lifestyle. The terminal organizes this information in a specific format and sends it to the server. Standard communication methods via the internet are used for data transmission.

[0694] The server processes the received data and analyzes the user's preferences using a generative AI model. The generative AI leverages a powerful computing platform hosted on a cloud service to evaluate user preferences based on large amounts of data. This analysis allows the server to select the most suitable roommates and housing options for the user.

[0695] Based on the analysis results, the server generates suggestions tailored to the user's needs. For example, if a user has preferences such as "classical music" or "a quiet environment," the server will suggest soundproofed apartments or roommates with similar preferences. The server then sends the suggested options to the user's device for display.

[0696] Furthermore, users can book creative spaces and mentoring sessions with industry experts through their devices. The server centrally manages this booking information and displays the booking status to users in real time.

[0697] For example, if a user enters a prompt such as, "I specialize in classical music and want to join an orchestra within two years. I value a quiet environment," the server will use this information to prioritize selecting suitable properties and roommates, providing the best possible suggestions for the user.

[0698] This system aims to provide new value to users engaged in creative activities by automatically collecting user information and selecting and proposing the optimal shared living environment. To this end, it effectively utilizes generative AI models and incorporates features to improve the user experience.

[0699] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0700] Step 1:

[0701] Users enter their personal information using their device. This information includes their creative field, career goals, and lifestyle. The data is submitted when the user completes the data entry form and clicks the submit button.

[0702] Step 2:

[0703] The terminal organizes the entered personal information into a specified format and sends it to the server. The data is often sent in formatted JSON. The output here is user data in a format that the server can process.

[0704] Step 3:

[0705] The server analyzes the data received from the terminal. Using a generative AI model, it analyzes the user's preferences and identifies suitable roommate candidates and properties. In this process, the AI ​​refers to a vast dataset and optimizes itself through pattern recognition. As a result of the analysis, a list of candidates to be suggested to the user is output.

[0706] Step 4:

[0707] Based on the analysis results, the server generates suggested properties and roommate candidates. It constructs a list of optimal options tailored to the user's preferences. Specifically, it lists information on apartment buildings and individuals that match the user's requirements.

[0708] Step 5:

[0709] The server sends the generated list of suggestions to the user's device. The user can review the suggested options on their device and select items of interest. At this stage, the output is the list of suggestions displayed on the user's device.

[0710] Step 6:

[0711] Users book creative spaces and mentoring sessions with industry experts through their devices. This booking information is sent to a server, which manages the booking status and adjusts schedules. The output is a booking confirmation, which is presented to the user.

[0712] Step 7:

[0713] The server centrally manages all reservation information and updates it in real time. This includes confirmed or modified reservations. The server notifies the user of the reservation status and makes any necessary adjustments. The final output is reservation status confirmation information displayed on the user's terminal.

[0714] (Application Example 1)

[0715] 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".

[0716] In modern creative activities and product development, there is a need to create an efficient work environment and optimize the compatibility of collaborative work. However, conventional systems lack sufficient means to manage and visualize these aspects in real time. As a result, users may not be able to work efficiently, and productivity may be impaired.

[0717] 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.

[0718] In this invention, the server includes input means for collecting user profile data, calculation means for analyzing the user's preferences based on the collected user data and matching them with other compatible users, analysis means for optimizing work efficiency using generated AI, and visualization means for checking the progress of work in real time. This provides users with an optimal collaborative work environment and enables efficient work progress.

[0719] "Input means" refers to a device or interface for collecting user profile data.

[0720] A "computational means" is a device that analyzes user preferences based on collected user data and matches them with other compatible users.

[0721] The "selection method" refers to a function that selects property information based on the user's preferences and proposes it to the user.

[0722] "Display means" refers to a device for presenting proposed properties and potential roommates to the user.

[0723] The "reservation method" refers to the function of reserving and managing mentoring sessions with industry experts.

[0724] "Management means" refers to devices and functions for providing career opportunities from partner companies and managing user applications.

[0725] "Space management means" refers to devices and functions for managing reservations of creative spaces.

[0726] "Analysis means" refers to a function that analyzes data using generative AI to optimize work efficiency.

[0727] "Visualization means" refers to display devices or functions that allow for real-time monitoring of work progress.

[0728] The system for realizing this invention combines multiple means to support users' creative activities and product development. Its key feature is that the server, terminal, and user work together to complete a series of processes.

[0729] The server receives and collects profile data from users through input methods. This includes information such as the user's creative genre, career goals, and lifestyle. As a computational tool, the server uses a generative AI model to analyze the user's preferences based on the collected data. Based on this analysis, it identifies and suggests compatible roommates and properties using a selection tool. These suggestions are displayed on the user's terminal via a display tool.

[0730] Furthermore, the server allows users to book and manage mentoring sessions with industry experts using a reservation system. The management system provides users with career opportunities from partner companies, and application status is properly managed. In addition, reservations for creative spaces are managed through a space management system.

[0731] This system utilizes generative AI to perform efficiency analysis, and the progress of the work is displayed to the user in real time using visualization tools. For example, by wearing smart glasses, the progress of product development within the factory is visualized, and the results of the generative AI analysis are presented in real time. The generative AI model could potentially include, for example, GPT-4.

[0732] An example of a prompt message is, "Please suggest the optimal workflow for this manufacturing process. How can we optimize the current layout and resources?" This example allows users to understand how they can utilize the system in specific situations.

[0733] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0734] Step 1:

[0735] The device receives profile data from the user. This data includes information such as creative genre, career goals, and lifestyle. This data is formatted by the device and sent to the server for the next step.

[0736] Step 2:

[0737] The server receives profile data from the terminal. To analyze the received data, it activates a generative AI model to identify the user's preferences. In this step, the input profile data is processed for analysis, and the analysis results generate information about the user's needs and preferences.

[0738] Step 3:

[0739] Based on the analysis results, the server uses computational methods to identify other compatible users and property information. In this step, a matching algorithm is executed using the directional data generated by the generative AI model, and a list of roommates and recommended properties is output.

[0740] Step 4:

[0741] The server sends selected roommate candidates and property information to the terminal. The terminal receives this information and presents it to the user as a list using a display device. The user can then make a selection based on the presented information.

[0742] Step 5:

[0743] If a user wishes to book a mentoring session with an industry expert based on their selected information, they submit a booking request through their device. The server processes this request using the booking system and manages and adjusts the schedule.

[0744] Step 6:

[0745] The server provides users with career opportunity information from partner companies through a management system. This information is displayed to the user via their terminal, and if the user is interested, it provides an interface for managing the application process.

[0746] Step 7:

[0747] Simultaneously, the server uses generated AI models to perform analyses aimed at improving the efficiency of projects and tasks the user is involved in. The results are displayed as real-time feedback through visualization tools, allowing the user to adjust their work based on this feedback.

[0748] 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.

[0749] This invention relates to a system that improves the user experience by combining an emotion engine with a conventional shared living platform. In this system, the user first inputs their profile information using a terminal. The profile includes basic data such as creative genre, career goals, and lifestyle. This information is formatted by the terminal and sent to the server.

[0750] The server analyzes the received profile data using a generative AI and an emotion engine. The emotion engine recognizes the user's emotional state through voice, text, and facial expression data provided by the user. This emotional information is used for user preference analysis and optimized matching. As a result, the server suggests roommate candidates and property information that are adapted to the user's mental state, providing the optimal environment that matches the user's lifestyle and emotions.

[0751] For example, if a user is feeling "busy," the server will prioritize suggesting quiet properties where they can relax or shared houses with good support systems. Similarly, if a user is feeling "excited," the server will suggest enthusiastic communities focused on creative activities.

[0752] Furthermore, users can book customized mentoring sessions based on emotion recognition via their device. This system allows for monitoring the user's emotional state during the mentoring session, enabling adjustments to the session content on the spot. For example, if a user is experiencing stress, the session might be modified to focus on relaxation techniques.

[0753] When partner companies offer career opportunities, the emotional engine identifies and presents opportunities tailored to the user's emotions, allowing users to identify opportunities that are a better fit for them. Furthermore, when users book creative spaces using their devices, emotional information is used to provide the most suitable space options.

[0754] This invention allows users to enjoy a living space that goes beyond mere dwelling conditions, providing emotional satisfaction. This system can understand the user's emotional state and respond to their unspoken needs.

[0755] The following describes the processing flow.

[0756] Step 1:

[0757] Users use their devices to enter personal profile information. This information includes creative genre, career goals, lifestyle, and emotional information in voice and text format. The device formats this information appropriately and sends it to the server.

[0758] Step 2:

[0759] The server stores the received data in a database and activates a generative AI and emotion engine to analyze the user's orientation and emotional state. The emotion engine extracts emotions from the voice and evaluates the user's mental state in real time, combining them with text and facial expression data.

[0760] Step 3:

[0761] Based on the analysis results, the server creates an optimal matching plan for each user. This plan includes a list of potential roommates and property information optimized for the user's emotional state. The server then organizes this information in an order that aligns with the user's preferences.

[0762] Step 4:

[0763] Matched information is sent from the server to the terminal. The terminal displays the suggestions on the user interface, presenting them in an easy-to-select format. The user uses this information to select their ideal roommate or property.

[0764] Step 5:

[0765] The user sends information about their selected candidates and properties from their device to the server. The server records these selections and automatically handles property contracts and notifications to roommates.

[0766] Step 6:

[0767] Users can view and book customized mentoring sessions based on their emotional state through their device. The server manages the booking information and notifies the specialist to adjust the session content.

[0768] Step 7:

[0769] During mentoring sessions, the server monitors the user's emotions through an emotion engine, automatically generates feedback, and adjusts the session content as needed. Based on this feedback, additional support and guidance to resources are also provided.

[0770] Step 8:

[0771] Career opportunities from partner companies are updated on the server, and sentiment-based recommendations are notified to the user's device. If the user wishes to apply for an opportunity, they can check the details on their device and submit the necessary documents through the server.

[0772] Step 9:

[0773] When users book a creative space using their device, the emotion engine presents them with recommended space options. The server updates the booking status and optimally allocates available resources.

[0774] By following this series of steps, users can obtain an optimal living environment tailored to their individual emotional state.

[0775] (Example 2)

[0776] 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".

[0777] In modern living environments, users face challenges in finding the ideal living space or cohabitation, and in making choices that align with their emotional satisfaction and individual lifestyles. Furthermore, there is a lack of real-time support based on users' emotional states and insufficient means to identify suitable career opportunities.

[0778] 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.

[0779] In this invention, the server includes an input means for acquiring the user's personal information, a calculation means for analyzing the user's preferences based on the acquired information and selecting other suitable users, and a selection means for selecting and recommending property candidates based on the user's preferences and emotional state. This makes it possible to provide a living environment that suits the user's emotions and lifestyle.

[0780] "User personal information" refers to information related to the user, such as name, address, contact information, hobbies and preferences, inclinations, and emotional state, and is data used in this system to provide appropriate services to the user.

[0781] "Input means" refers to the interface and mechanism for a user to input their own information into a system via a terminal.

[0782] "Calculation means" refers to functions that perform calculations and analyses based on acquired data to facilitate appropriate user matching and property selection.

[0783] "Selection method" refers to a system that selects the most suitable properties and roommate candidates based on analysis results and proposes them to the user.

[0784] "Display means" refers to means including monitors and displays for visually presenting selected property information and candidate information to the user.

[0785] "Adjustment mechanism" refers to a function that allows you to schedule sessions with experts as needed and change the date and content of those sessions as required.

[0786] "Control means" refers to functions for appropriately processing user application management and information provided by partner organizations, and for performing necessary controls.

[0787] "Space management means" refers to functions that manage and enable users to efficiently reserve and utilize spaces for their creative activities.

[0788] This system allows users to input their personal information using a terminal and, based on that information, provides them with the most suitable living environment and employment opportunities. Specifically, users input information such as their name, address, contact information, hobbies, preferences, inclinations, and emotional state through the terminal. The terminal formats this information and transmits it to the server using a secure protocol.

[0789] The server uses generative AI technology (e.g., large-scale neural network models) and sentiment analysis technology to analyze the received data. This allows the server to identify the user's emotional state and select potential properties and roommates based on the analysis results. Because the selected information is tailored to the user's preferences and emotional state, it contributes to improving the user's quality of life.

[0790] Furthermore, users can book customized mentoring sessions via their devices. The server coordinates schedules with experts and optimizes the session content in real time based on the user's emotional state.

[0791] For example, if a user provides data indicating that their emotional state is relaxed, the system can suggest a comfortable living environment or an active roommate. An example of a prompt when using a generative AI model would be, "What ideal property or content should be suggested if the user's emotional state is recognized as relaxed or stressed?"

[0792] In this way, the system can provide optimal choices based on the user's emotions and preferences, thereby creating a richer living space.

[0793] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0794] Step 1:

[0795] The user uses the terminal to enter personal information. This information includes name, address, contact information, hobbies, preferences, orientation, and emotional state. The terminal receives this input and formats it into the required format. The formatted data is then ready to be sent to the next processing step.

[0796] Step 2:

[0797] The terminal sends formatted user data to the server. To ensure data security, encryption methods such as the HTTPS protocol are used. The data received by the server is decoded and prepared for the next analysis step.

[0798] Step 3:

[0799] The server analyzes the received user data. This analysis uses generative AI models and sentiment analysis algorithms. Specifically, the AI ​​model analyzes the user's text data to understand their emotional state. The sentiment analysis results are stored in a database to be used as a basis for decisions in subsequent steps.

[0800] Step 4:

[0801] Based on the analysis results, the server generates properties and potential co-habitants that are suitable for the user's emotional state. For example, if the user's emotional state is "busy," properties that promote relaxation will be selected. Past data and statistical information are also utilized in this selection process.

[0802] Step 5:

[0803] The server sends the generated property and co-resident candidates to the user's device and presents them to the user. The user can then select the option that best matches their preferences from the candidates displayed on the device.

[0804] Step 6:

[0805] Users can book customized mentoring sessions based on the information they select. The server receives this booking information and coordinates the schedules of the experts and users. It also creates an environment that makes it easy for users to participate in the sessions, such as by sending reminders as needed.

[0806] Step 7:

[0807] The server manages job opportunities from partner organizations and provides optimal career suggestions based on the user's emotional state. The results are notified to the user via their device, allowing them to respond appropriately.

[0808] (Application Example 2)

[0809] 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".

[0810] In traditional brick-and-mortar stores, accurately understanding the emotions and needs of customers and providing products and services accordingly is difficult. A system is needed that can propose services tailored to each customer's emotional state in real time. The challenge is to improve customer satisfaction and enhance store sales and reputation through this process.

[0811] 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.

[0812] In this invention, the server includes emotion analysis means for evaluating the user's emotional state, selection means for selecting and proposing products and services based on the emotional data, and input means for collecting and analyzing customer profile data. This makes it possible to propose products and provide services that are tailored to the emotional state of the customer.

[0813] "User emotional state" refers to the psychological or emotional responses a user exhibits at a specific point in time, and is analyzed from data such as voice and facial expressions.

[0814] "Emotional analysis means" refers to technology or devices that analyze a user's emotional state using voice and facial expression data.

[0815] "Selection method" refers to a system that selects products and services that match the user's needs and emotional state based on collected data.

[0816] "Input method" refers to an interface or device used to collect user profile data and sentiment data.

[0817] "Control means" refers to a method or device for adjusting service or product suggestions based on analyzed emotional data.

[0818] "Display means" refers to monitors or displays used to visually present analysis results and proposed content to the user.

[0819] "Real-time" refers to a processing speed that enables a system to respond instantly to user input and changes in circumstances.

[0820] "In-store resource management systems" refer to systems that effectively manage in-store inventory, staff allocation, and other factors to adapt to customer needs.

[0821] The system for realizing this application includes emotion analysis means, selection means, input means, control means, and display means. First, the user's facial expressions and voice are captured in real time using smart glasses as a terminal and input as profile data. This data is used to evaluate the user's emotional state through the emotion analysis means. This system uses emotion analysis software from Affectiva and smart glasses such as Google Glass.

[0822] The server uses a generative AI model to select products and services based on collected emotional data and user profile data. For example, if a customer shows signs of fatigue, relaxing products and services will be selected. In this selection process, the generative AI model performs data analysis to identify the product that best matches the customer's needs.

[0823] Next, the control system adjusts the selected suggestions in real time and displays the optimal suggestions using the display system based on the store's inventory status. This allows customers to enjoy the best possible services and products currently available.

[0824] For example, in a shop setting, if a user is feeling stressed, the system can suggest relaxation items such as aromatherapy candles or relaxing music. The server uses prompts to instruct the AI. An example of a prompt would be, "The system has determined that the user is seeking relaxation. Please recommend products or services that are appropriate for this emotional state."

[0825] This system allows stores to provide personalized service tailored to the individual needs of each customer, contributing to improved customer satisfaction.

[0826] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0827] Step 1:

[0828] The smart glasses, which act as the terminal, capture the user's facial expressions and voice in real time. They acquire facial and voice data as input and transmit this data to an emotion analysis system. This data is used to evaluate the user's current emotional state.

[0829] Step 2:

[0830] The server processes the received facial expression and voice data using emotion analysis tools. Software such as Affectiva is used to analyze the user's emotional state (e.g., relaxed, tense, tired). The user's emotional state data is output as a result of this analysis.

[0831] Step 3:

[0832] Based on the outputted emotional state data and user profile data, the server uses a generative AI model to select the most suitable products and services using a selection method. For example, if it is determined that the user is seeking relaxation, it will consider products suitable for relaxation. In this process, the generative AI model analyzes the received data, generates prompt sentences, and issues instructions to the AI.

[0833] Step 4:

[0834] The server optimizes the list of products and services selected by the generated AI model using control devices, optimizing it according to inventory status and the store's service provision capacity. After the final proposal is confirmed, the proposal is sent from the display device to the terminal.

[0835] Step 5:

[0836] The terminal presents the user with selected products and services. The display method visually presents the suggestions in a user-friendly format. This allows the user to choose the service or product that best suits their emotional state.

[0837] 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.

[0838] 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.

[0839] 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.

[0840] 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.

[0841] 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.

[0842] 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.

[0843] 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.

[0844] 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 based, for example, 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.

[0845] 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."

[0846] 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.

[0847] 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.

[0848] 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.

[0849] 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.

[0850] 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.

[0851] 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.

[0852] 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.

[0853] 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.

[0854] 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.

[0855] 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.

[0856] 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.

[0857] 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.

[0858] The following is further disclosed regarding the embodiments described above.

[0859] (Claim 1)

[0860] An input method for collecting user profile data,

[0861] Based on the collected user data, a calculation method is used to analyze user preferences and match them with other compatible users.

[0862] A selection method for selecting and proposing property information based on user preferences,

[0863] A means for displaying proposed properties and potential roommates to the user,

[0864] A booking system for scheduling and managing mentoring sessions with industry experts,

[0865] We provide career opportunities from partner companies and management tools for managing user applications.

[0866] A space management system for managing reservations for creative spaces,

[0867] A system that includes this.

[0868] (Claim 2)

[0869] The system according to claim 1, comprising means for using generative AI to consider the user's creative genre, career goals, and lifestyle when analyzing user data.

[0870] (Claim 3)

[0871] The system according to claim 1, comprising means for communication to form partnerships with partner companies and to provide users with specific career opportunities.

[0872] "Example 1"

[0873] (Claim 1)

[0874] An input method for collecting the user's personal information,

[0875] Based on collected user information, a computational means is used to analyze the user's preferences using a generating AI and to match them with other users who are cooperative.

[0876] A selection method for selecting and proposing information on apartment complexes based on user preferences,

[0877] A means of displaying proposed apartment buildings and potential roommates to users,

[0878] A booking system for scheduling and managing mentoring sessions with industry experts,

[0879] A management system for providing employment opportunities from partner organizations and managing user applications,

[0880] A facility management system for managing reservations for creative activity facilities,

[0881] A display and adjustment mechanism for showing and adjusting the reservation status according to the user's selection,

[0882] A system that includes this.

[0883] (Claim 2)

[0884] The system according to claim 1, comprising means for using a generating AI to consider the user's creative field, career goals, and lifestyle when analyzing user information.

[0885] (Claim 3)

[0886] The system according to claim 1, comprising means of communication for forming partnerships with cooperating organizations and providing specific employment opportunities to users.

[0887] "Application Example 1"

[0888] (Claim 1)

[0889] An input method for collecting user profile data,

[0890] Based on the collected user data, a calculation method is used to analyze user preferences and match them with other compatible users.

[0891] A selection method for selecting and proposing property information based on user preferences,

[0892] A means for displaying proposed properties and potential roommates to the user,

[0893] A booking system for scheduling and managing mentoring sessions with industry experts,

[0894] We provide career opportunities from partner companies and management tools for managing user applications.

[0895] A space management system for managing reservations for creative spaces,

[0896] An analytical method for optimizing work efficiency using generative AI,

[0897] A visualization tool for checking the progress of work in real time,

[0898] A system that includes this.

[0899] (Claim 2)

[0900] The system according to claim 1, comprising means for using generative AI to consider the user's creative genre, career goals, and lifestyle when analyzing user data.

[0901] (Claim 3)

[0902] The system according to claim 1, comprising means for communication to form partnerships with partner companies and to provide users with specific career opportunities.

[0903] "Example 2 of combining an emotion engine"

[0904] (Claim 1)

[0905] Input methods for obtaining the user's personal information,

[0906] A calculation means for analyzing user preferences based on acquired information and selecting other suitable users,

[0907] A selection method for selecting and recommending property candidates based on the user's preferences and emotional state,

[0908] A means for displaying recommended properties and potential co-residents to the user,

[0909] A means of scheduling and coordinating counseling sessions with experts,

[0910] A control system for providing job opportunities from partner organizations and managing user applications,

[0911] A space management system for managing the reservation of a space for creative work,

[0912] A system that includes this.

[0913] (Claim 2)

[0914] The system according to claim 1, comprising means for analyzing the user's voice, text and facial expressions using generative AI technology and emotion analysis technology to identify the user's emotional state.

[0915] (Claim 3)

[0916] The system according to claim 1, further comprising control means for changing the content in real time during a counseling session based on the user's emotional state.

[0917] "Application example 2 when combining with an emotional engine"

[0918] (Claim 1)

[0919] A means of sentiment analysis for evaluating the emotional state of a user,

[0920] Selection methods for selecting and proposing products and services based on emotional data,

[0921] An input method for collecting and analyzing customer profile data,

[0922] A control means that adjusts the service in real time based on data obtained from emotion analysis,

[0923] A display means for showing the sentiment analysis results to the user and presenting suggestions,

[0924] ...

[0925] A system that includes this.

[0926] (Claim 2)

[0927] The system according to claim 1, comprising means for using generative AI when analyzing user data and sentiment data.

[0928] (Claim 3)

[0929] The system according to claim 1, comprising in-store resource management means for providing products and services that are adapted to the emotional state of customers. [Explanation of Symbols]

[0930] 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. An input method for collecting user profile data, Based on the collected user data, a calculation method is used to analyze user preferences and match them with other compatible users. A selection method for selecting and proposing property information based on user preferences, A means for displaying proposed properties and potential roommates to the user, A booking system for scheduling and managing mentoring sessions with industry experts, We provide career opportunities from partner companies and management tools for managing user applications. A space management system for managing reservations for creative spaces, A system that includes this.

2. The system according to claim 1, comprising means for using generative AI to consider the user's creative genre, career goals, and lifestyle when analyzing user data.

3. The system according to claim 1, comprising means for forming partnerships with partner companies and providing users with specific career opportunities.

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