system

Abstract

We provide the system. [Solution] A means of obtaining basic user information and saving it to a database, A means of generating content using an image generation AI based on a theme selected by the user, A means of presenting content to the user's device and receiving feedback, A means of regenerating content based on the feedback received and re-presenting it to the user, A means of analyzing user communication and fairly distributing tasks, A means of monitoring task progress and sending reminders to the user's terminal, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot performed by at least one processor, the method including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance 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] Couples preparing for a wedding often have to make complex decisions within a limited time, so they often feel stressed. Also, due to differences in opinions and unbalanced task distribution, the burden may be biased towards one partner, which causes further stress. Therefore, it is required to smoothly manage tasks and make decisions between couples while using time efficiently, and reduce stress in wedding preparations.

Means for Solving the Problems

[0005] This invention provides a system that acquires and stores basic user information in a database, thereby centrally managing information related to weddings. Furthermore, based on a theme selected by the user, it utilizes image generation AI to automatically generate decoration ideas and invitation designs, presenting them to the user's terminal to intuitively present options and support efficient decision-making. In addition, it is equipped with a virtual support function that enables real-time interaction, proposing customized plans to the user and supporting the coordination of opinions. Moreover, by analyzing communication between users to fairly distribute tasks and sending reminders while monitoring progress, it reduces the burden of task management and enables efficient wedding preparation.

[0006] A "user" is someone who uses the system to prepare for a wedding.

[0007] "Basic information" refers to data that includes personal information about the user and initial settings information related to the wedding.

[0008] A "database" is a collection of information used by a system to store and manage user information.

[0009] A "theme" is a concept that determines the direction of the decorations and design of a wedding.

[0010] "Image generation AI" is artificial intelligence that automatically generates images based on user instructions.

[0011] "Content" refers to materials that include visual information such as wedding decoration ideas and invitation designs.

[0012] A "terminal" is an electronic device used by a user to access a system.

[0013] "Feedback" refers to the opinions and evaluations provided by users to a system.

[0014] "Communication" refers to the transmission and interaction of information among users.

[0015] "Task" refers to the individual tasks and activities that a user should perform during the process of preparing for a wedding.

[0016] "Monitor" means continuously monitoring the progress of the set tasks.

[0017] "Reminder" refers to a notification set to prompt a user to act.

[0018] "Virtual support function" is an interactive system function for proposing plans to users in real time.

Brief Explanation of Drawings

[0019] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which multiple emotions are mapped. [Figure 10]Shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Mode for Carrying Out the Invention

[0020] 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.

[0021] First, the terms used in the following description will be explained.

[0022] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of a plurality of arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of a plurality of types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0023] 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.

[0024] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0025] 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).

[0026] 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."

[0027] [First Embodiment]

[0028] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0029] 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.

[0030] 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).

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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.

[0035] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0036] 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.

[0037] 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.

[0038] 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.

[0039] 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".

[0040] This invention is a system that utilizes interaction between a generating AI and the user to facilitate wedding preparations. The system performs its functions through the following specific steps:

[0041] The server first retrieves basic information from the user and stores initial settings information about each user's wedding in a database. This information includes data such as the wedding date, number of participants, and theme.

[0042] Next, the server uses a generative AI to generate decorative ideas and invitation designs based on the theme selected by the user. The image generation AI learns from numerous existing designs and uses that to create visual content that matches the user's requests. The generated content is presented to the user via a terminal. The terminal provides the user with the ability to review the design and provide feedback as needed.

[0043] When a user submits feedback, the server analyzes it and regenerates the content as needed. This allows users to make choices that better match their preferences.

[0044] Furthermore, the system provides interactive support to users through a virtual planner function. Users can adjust their needs and preferences while conversing with a virtual planner on their device. For example, if a user tells the virtual planner their preferences for specific music or food, the server will immediately make suggestions based on that.

[0045] The server also analyzes communication between users and fairly distributes tasks related to wedding preparations. Tasks assigned to each user are notified via their device, and their progress is monitored. The server has a reminder function and sends notifications via the device as the deadline set by the user approaches.

[0046] In this way, the present invention provides a practical system that reduces the burden on users and allows for efficient wedding preparations. The specific operation of this system enables couples to make important decisions in a shorter amount of time, resulting in a smooth and stress-free wedding preparation process.

[0047] The following describes the processing flow.

[0048] Step 1:

[0049] The server retrieves basic information entered by the user via the terminal and stores it in a database. This basic information includes details about the wedding date, participants, and venue.

[0050] Step 2:

[0051] The user selects a wedding theme using the interface on their device. Once the theme selection is complete, the device sends it to the server.

[0052] Step 3:

[0053] The server analyzes the received theme information and uses image generation AI to automatically generate visual content (e.g., decoration ideas or invitation designs). The generated content reflects the user's preferences.

[0054] Step 4:

[0055] The server sends the generated content to the device and prompts the user for visual confirmation. The user can review the design on the device and provide feedback.

[0056] Step 5:

[0057] When a user submits feedback, the device sends that information to a server. The server analyzes the feedback, regenerates the content if necessary, and presents the revised version back to the device.

[0058] Step 6:

[0059] Users access the virtual planner function through their device and consult about their plans in an interactive format. The server analyzes this conversation and presents revised plan suggestions in real time.

[0060] Step 7:

[0061] The server lists tasks based on the communication history between users and distributes them fairly using an appropriate algorithm. Each user is notified of their assigned tasks via their terminal.

[0062] Step 8:

[0063] The server continuously monitors task progress and sends reminders to the user's device according to the deadline set by the user. This feature allows users to complete their work without falling behind.

[0064] (Example 1)

[0065] 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."

[0066] Wedding preparations are complex and multifaceted, requiring efficient management of coordination among participants and numerous tasks. Furthermore, meeting the diverse needs of participants within a limited timeframe demands meticulous customization and rapid decision-making. Traditional methods struggle to meet these needs, necessitating a reduction in stress during the preparation process and ensuring a smoother flow.

[0067] 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.

[0068] In this invention, the server includes means for acquiring the user's basic information and storing it in an information storage device, means for generating visual content using a generation AI model based on a theme selected by the user, and means for presenting the generated content on the user's display device and receiving feedback. This enables efficient management of wedding preparations and customization to meet specific needs.

[0069] "User basic information" refers to data related to a specific user, such as the schedule, number of participants, and theme needed for wedding preparations.

[0070] "Information storage device" refers to digital storage media or databases used to store acquired data.

[0071] A "generative AI model" refers to an artificial intelligence system that generates new visual content and designs based on learned data.

[0072] "Visual content" refers to content presented to users as visual representations such as images and designs.

[0073] "User display device" refers to a device such as a screen or monitor that allows the user to visually confirm the generated content.

[0074] "Ratings" refer to feedback and comments received from users, which are used to improve design and content.

[0075] "Coordination among participants" refers to the process of aligning opinions and intentions among multiple users and stakeholders involved in the wedding ceremony.

[0076] "Customization" refers to changing or adjusting the content according to the individual user's needs and requests.

[0077] This invention is a system for efficiently carrying out wedding preparations. This system utilizes a generative AI model to manage various tasks while supporting communication between users. A specific embodiment of this system is described below.

[0078] The server retrieves the user's basic information, such as the wedding date, number of participants, and theme, and stores it in an information storage device. This aggregates the fundamental data necessary for setting up the wedding, making it available for subsequent processes.

[0079] The generative AI model is used by the server to generate visual content based on a theme selected by the user. Specifically, it learns existing design patterns to generate decorative ideas and invitation designs. This visual content is presented on the user's display device, allowing the user to review the design and provide feedback.

[0080] For example, if a user sends a prompt to the server such as, "Suggest an elegant invitation design with a classic theme," the AI ​​model will generate appropriate design suggestions based on this prompt. These generated designs are then presented through the device, and user feedback is accepted from there.

[0081] When the server receives user feedback, it analyzes the content and regenerates the design if necessary. This allows for more accurate customization to meet user requests.

[0082] Furthermore, the server analyzes user interactions and has the function of fairly distributing tasks. The progress of tasks assigned to each user is monitored, and when the task deadline approaches, a reminder is sent to the user's display device.

[0083] This system's workflow allows users to smoothly proceed with wedding preparations and quickly bring their customized plans to life. Throughout this entire process, the server utilizes a generative AI model to provide optimal content and support based on prompts.

[0084] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0085] Step 1:

[0086] The server receives basic wedding information from the user. This information includes the wedding date, number of participants, and theme. The entered information is stored as data in the information storage device. This allows for wedding preparations tailored to the user's needs. For example, if the user enters "June 1, 2024, 100 participants, theme: garden," the server will save this data.

[0087] Step 2:

[0088] The server sends prompts to a generative AI model based on the theme selected by the user, and generates visual content. This process utilizes a generative AI model that has learned from many existing designs, outputting decorative ideas and invitation designs that match the user's theme. For example, it will generate designs in response to a request such as "Suggest a natural invitation design with a garden theme."

[0089] Step 3:

[0090] The device displays visual content provided by the server to the user. The user can review the design and provide feedback through the interface on the device. Specifically, the user might provide feedback such as, "The design is great, but I'd like the colors to be brighter."

[0091] Step 4:

[0092] Upon receiving user feedback, the server analyzes it and, if necessary, reuses the generation AI model to regenerate the design. This regeneration process outputs content that better matches the user's requests. Based on the input feedback, a new design, "Bright-toned Garden Theme Invitation," is generated.

[0093] Step 5:

[0094] The server monitors user interactions and distributes tasks fairly based on that. To monitor the progress of tasks assigned to each user, the server periodically checks and sends reminders to their devices. For example, it might set a task like "Complete final confirmation of invitations by next week" and send a notification as the deadline approaches.

[0095] (Application Example 1)

[0096] 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."

[0097] Wedding preparations are a complex process involving many elements, and the time and stress involved are significant problems. Furthermore, communication and task sharing among participants with differing opinions can be challenging. Additionally, a lack of expertise makes it difficult to find the right ideas to realize the desired wedding.

[0098] 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.

[0099] In this invention, the server includes means for acquiring the user's basic information and storing it in a data storage unit, means for generating visual content using a generation AI based on a theme selected by the user, and means for presenting the visual content on an information display device and receiving feedback. This enables the user to proceed smoothly with wedding preparations.

[0100] "User basic information" refers to initial data about the user, such as schedule, number of participants, and theme.

[0101] The "data storage unit" is a storage device or database used to store the user's basic information.

[0102] "Theme" is a concept that indicates the theme or style of the wedding chosen by the user.

[0103] "Generative AI" is an artificial intelligence technology that automatically generates content according to user requests.

[0104] "Visual content" refers to visual materials such as decorative ideas and invitation designs created by generational AI.

[0105] An "information display device" is a terminal used by users to view visual content suggested by AI-generated content and to input feedback.

[0106] "Feedback" refers to the opinions and requests that users provide regarding the generated visual content.

[0107] "Regeneration" is the process of recreating visual content based on newly received feedback.

[0108] "Communication" refers to conversational behavior involving the exchange of information and sharing of opinions among users.

[0109] "Tasks" refer to the specific tasks and activities involved in wedding preparations.

[0110] "Distribution" refers to the act of fairly assigning tasks to each user.

[0111] "Monitoring" is the process of continuously checking the progress of a task.

[0112] A "notification" is a message or alert that informs an information display device about the progress of a task.

[0113] A "consumer robot" is an automated device designed to assist in human life within the home.

[0114] "Virtual support function" refers to a software feature that assists users with wedding preparations through interaction.

[0115] A system for carrying out this invention includes, as its main components, a server, an information display device, and a consumer robot.

[0116] The server first collects the user's basic information and stores it in a data storage unit. This information includes the wedding date, the number of participants, and the desired theme. The server then uses generative AI to generate visual content based on the theme selected by the user. For example, the OpenAI® API could be used as the generative AI model. This model learns from a vast amount of existing design data and uses it to generate new decorations and invitation designs. The generated content is then presented to the user through an information display device.

[0117] Users can view the presented content and provide feedback using an information display device. This information display device may include a tablet or smartphone. When a user enters feedback, the server analyzes the content and regenerates the visual content as needed. This enables the provision of optimal suggestions that better match the user's opinions.

[0118] Furthermore, consumer robots are equipped with virtual assistance functions, which facilitate interaction with users. The robots use speech recognition software (e.g., Google® Cloud Speech-to-Text) to understand user instructions and request appropriate suggestions from the server. An example of a prompt message generated at this time would be, "The user is planning a spring-themed wedding. Please generate garden party decoration ideas and invitation designs."

[0119] Ultimately, the server distributes tasks fairly among users and also monitors their progress. This allows users to manage their wedding preparations efficiently and with less burden throughout the entire process.

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

[0121] Step 1:

[0122] The server retrieves basic information from the user and stores it in the data storage unit. Inputs include the user's schedule, number of participants, and theme, while output is the storage of this information in the database. At this stage, the server accurately stores the necessary data to form the user's profile.

[0123] Step 2:

[0124] The user selects their desired wedding theme through the device. The input is the theme selected by the user, and the output is the generation of prompts based on that theme. In this step, the criteria for the content to be generated in the next step are determined according to the user's preferences.

[0125] Step 3:

[0126] The server uses a generative AI model to generate visual content based on a selected theme. The input is the prompt "The user is planning a spring-themed wedding...", and the output is generated decoration ideas and invitation designs. In this process, the AI ​​model creates new content based on the data it has learned.

[0127] Step 4:

[0128] The generated visual content is presented to the device for the user to review. The input is the visual content from the server, and the output is the user's feedback. In this step, the user reviews the actual content and determines whether it meets their needs.

[0129] Step 5:

[0130] The user inputs feedback on visual content into the device. The input is the content of the feedback, and the output is the transmission of that feedback to the server. At this stage, the user's opinion is reflected in the system.

[0131] Step 6:

[0132] The server analyzes the feedback and regenerates the visual content as needed. The input is user feedback, and the output is improved new visual content. Based on the feedback, the server reapplies the AI ​​model to generate more appropriate content.

[0133] Step 7:

[0134] The generated re-content is presented to the device again for the user to confirm. The input is the improved visual content, and the output is the user's final confirmation. This ensures that the user ultimately obtains the content they desired.

[0135] Step 8:

[0136] The server fairly distributes tasks among users, monitors their progress, and sends notifications to terminals. Inputs are user lists and data related to each user's role, while output is notification information. This step provides the necessary support for users to efficiently manage and complete tasks in a timely manner.

[0137] 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.

[0138] This invention relates to a wedding preparation support system incorporating an emotion engine. It can analyze the user's emotional state in real time and provide more personalized suggestions. An embodiment of this system is described in detail below.

[0139] First, the server retrieves the user's basic information via the terminal and stores it in a database. This information includes details such as the wedding date, venue, and number of attendees. The user also selects a wedding theme using the interface on the terminal. This theme information is then sent to the server.

[0140] The server automatically generates visual content (such as decorative ideas or invitation designs) using image generation AI based on the selected theme and user preferences. The generated content is sent to the user's device, where it awaits review and feedback. The user reviews the design on their device and provides feedback as needed.

[0141] When feedback is provided, the server analyzes its content, regenerates it as needed, and re-presents it to the user's device. At this point, the emotion engine activates, determining the user's emotional state from user input information and data acquired from sensors such as the device's camera and microphone. This emotional information is incorporated into the feedback analysis process and used to determine the content to be generated and how it is presented.

[0142] Furthermore, users can use the virtual planner function to adjust their wedding plans through interactive conversations with the system. During this process, the emotion engine analyzes the emotions associated with the user's speech and text input, and the virtual planner provides suggestions optimized for the user's emotions. For example, if the user is feeling stressed, it will offer suggestions and support plans to help them relax.

[0143] Furthermore, the server analyzes user communication and fairly distributes tasks based on information obtained from the emotion engine. Tasks are notified to users via their devices, and their progress is monitored. The server sends timely reminders to help users complete tasks on time. It is also possible to adjust tasks that are burdening users based on emotion data.

[0144] Thus, the present invention provides a more comfortable and convenient wedding preparation process for users through a wedding preparation support system using an emotion engine. This system allows users to have a personalized experience in every aspect of wedding preparation, reducing the stress of planning.

[0145] The following describes the processing flow.

[0146] Step 1:

[0147] The user enters basic information via the device and selects a wedding theme. The device then sends this information to the server.

[0148] Step 2:

[0149] The server checks the basic information stored in the database, instructs the image generation AI based on the user's theme, and generates content (decorative ideas and invitation designs).

[0150] Step 3:

[0151] The server sends the generated content to the device and presents it to the user. The user uses the device to view the content and provides reactions via the camera and microphone for analysis by the emotion engine.

[0152] Step 4:

[0153] The emotion engine analyzes the user's reaction data and determines their emotional state. This information is then sent to the server.

[0154] Step 5:

[0155] Users input their opinions on the content through feedback on their devices and send them to the server.

[0156] Step 6:

[0157] The server analyzes the feedback and the user's emotional state, and regenerates the content as needed. The regenerated content is then presented to the user again.

[0158] Step 7:

[0159] Users access the virtual planner function and consult with the server about wedding plans through interactive dialogue. The emotion engine analyzes the user's emotions in real time during the dialogue, and the server makes appropriate suggestions based on that information.

[0160] Step 8:

[0161] The server fairly distributes the tasks necessary for wedding preparations based on the communication history and emotional data between users, and notifies them via their devices.

[0162] Step 9:

[0163] The server monitors progress and sends timely reminders to users. It also takes emotional data into consideration and reassigns or adjusts tasks that are causing burdens.

[0164] (Example 2)

[0165] 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".

[0166] Traditional wedding planning often presented challenges in creating optimal plans tailored to users' emotional states and individual preferences, frequently leading to stress. Furthermore, inadequate task management could result in unfair workload distribution among users. There was a need to address these issues and provide a more personalized wedding planning experience.

[0167] 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.

[0168] In this invention, the server includes means for collecting basic user information and storing it in information storage, means for generating visual data using a generation algorithm based on a theme selected by the user, and means for determining the user's state using an emotion analysis engine. This enables planning optimized for the user's individual preferences and emotional state, and the provision of visually appealing content.

[0169] "User basic information" refers to fundamental information related to wedding preparations, such as the individual's name, contact information, event date, venue, and expected number of attendees.

[0170] "Information storage" refers to a system or medium that holds data and allows it to be retrieved as needed.

[0171] A "generative algorithm" refers to a set of procedures or processes for automatically generating visual or other content based on a specified theme or user preferences.

[0172] "Visual data" refers to materials that provide users with visual information, such as images, videos, and graphics.

[0173] An "emotion analysis engine" refers to a software or hardware system that analyzes and determines a user's emotional state based on sensor data and input content.

[0174] An "information terminal" refers to an electronic device that a user directly operates to input and output information.

[0175] "Communication data" refers to a collection of information sent and received between users or systems.

[0176] "Workload" refers to the series of tasks or workload that a user must complete within a specific period.

[0177] A "reminder" refers to a message or alert used to notify a user that a specific task or event should be carried out at a scheduled time.

[0178] This invention provides a system for efficiently and personally preparing for a wedding, combining an emotion analysis engine with a visual content generation function. The system primarily operates using a server, terminals, and a generative AI model.

[0179] The server receives basic information provided by the user via the terminal and stores it in its information storage. This information includes fundamental data such as the wedding date, venue, and number of attendees. The user can use the terminal to select a wedding theme on the interface. A specific example of a theme is "beach wedding." The selected theme information is then sent to the server.

[0180] The server utilizes a generation algorithm to generate visual data based on the selected theme and user preferences. This involves a generation AI model, and an example prompt might be, "Generate decoration ideas for a beach wedding theme." Using this prompt, the generation AI model generates images and graphics to create visual content.

[0181] The generated visual data is sent from the server to the device, where the user reviews it. The user can review the design and provide feedback. Once feedback is received, the server regenerates the visual data as needed based on that feedback and presents it again to the device.

[0182] Furthermore, an emotion analysis engine is operated by a server and analyzes data obtained from the device's sensors to determine the user's emotional state. This emotional information is reflected in the adjustment of generated content and the way suggestions are made to the user. For example, if it is determined that the user is particularly stressed, plans and suggestions that contribute to relaxation will be presented.

[0183] In this way, the present invention aims to reduce stress during wedding preparations by enabling flexible planning and content generation that responds to the user's emotional state and individual needs.

[0184] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0185] Step 1:

[0186] The server receives basic information entered by the user via a terminal. Specifically, the user enters information such as the wedding date, venue, and number of attendees into the terminal's interface. The terminal aggregates this information and sends it to the server. The server stores the received information in its information storage. This stored information is then used in subsequent processes.

[0187] Step 2:

[0188] The user selects a wedding theme on their device. For example, they can choose a theme such as "Classic Wedding." The selected theme information is sent from the device to the server. The server applies a generation algorithm based on the received theme information and provides an appropriate prompt message (e.g., "Generate decoration ideas for a classic wedding theme") to the AI ​​model.

[0189] Step 3:

[0190] The server generates visual data using a generative AI model. Inputs include prompts provided by the server and pre-stored user information related to themes. The generative AI model creates images and graphics content based on these inputs. The output of this process is sent to the terminal as visually engaging content.

[0191] Step 4:

[0192] Users view visual data provided by the server on their devices and provide feedback as needed. For example, a user might input feedback through their device, such as "the design should be a bit more colorful." This feedback is then sent back to the server.

[0193] Step 5:

[0194] The server analyzes user feedback. The input is user feedback information, which is then analyzed, and the generation algorithm is executed again. The regenerated visual data is then presented again from the server to the user's terminal. At this stage, the server simultaneously determines the user's emotional state using an emotion analysis engine, and adjustments are made based on the results.

[0195] Step 6:

[0196] Based on the user's emotional state, the server further optimizes the presentation and content of the generated material. Specifically, if the analysis indicates the user is experiencing stress, it adds designs and suggestions that promote relaxation. The goal is to deliver the service in the most appropriate way for the user.

[0197] (Application Example 2)

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

[0199] There is a need to reduce the burden of wedding preparations and provide personalized support based on the user's emotions. In particular, a challenge is that suggestions and progress management that take the user's emotional state into account are not being adequately implemented.

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

[0201] In this invention, the server includes means for acquiring basic user data and storing it in an information management device, means for generating visual data using content generation artificial intelligence based on a theme selected by the user, and means for determining the user's emotional state using an emotion analysis device and integrating that information into the entire system to provide optimized suggestions. This makes it possible to provide optimal support for wedding preparations tailored to the user's emotions.

[0202] "User basic data" refers to data such as the user's personal information, preferences, desired dates, and themes, which are necessary for wedding preparations.

[0203] An "information management device" is a database or server used to store and manage user basic data, generated content, feedback information, and other similar information.

[0204] "Content-generating artificial intelligence" is artificial intelligence that automatically generates visual data and decorative ideas based on themes and preferences selected by the user.

[0205] "Visual data" refers to information in a format that users can visually review, such as wedding decoration ideas or invitation designs.

[0206] An "information terminal" is a communication device or computer used by users to exchange content and feedback.

[0207] An "emotion analysis device" is a device that uses sensors and artificial intelligence to identify emotions in order to analyze a user's emotional state in real time.

[0208] The "virtual assistant function" is a software feature that provides suggestions and support regarding wedding preparations through interaction with the user.

[0209] The system for realizing this invention features advanced functions to assist users in their wedding preparations. Specifically, it includes an information management device, content generation artificial intelligence, emotion analysis device, and virtual assistant function. This system personalizes wedding preparations and provides users with optimal support.

[0210] First, the server acquires basic data from the user via an information terminal and stores it in the information management device. The acquired data includes the user's personal information, wedding date, and preferred theme.

[0211] Next, based on the theme selected by the user, the content-generating artificial intelligence generates visual data. This visual data includes decorative ideas and invitation designs, offering suggestions tailored to the user's preferences. The generated data is presented to the user via an information terminal, and feedback is received. This process is repeated multiple times until the user's opinions are reflected.

[0212] The emotion analysis device uses sensors installed in the information terminal to determine the user's emotional state in real time from their facial expressions and voice. Based on this emotional information, the server makes optimal suggestions tailored to the user's emotions. For example, if the user is feeling stressed, it will provide relaxing guidance to alleviate their tension.

[0213] Users interact with the system through a virtual assistant function to adjust their wedding plans. The server analyzes the user's emotions from their statements and provides optimized suggestions. In this way, users can proceed with wedding preparations more smoothly.

[0214] For example, if a user is considering a "spring" themed wedding, the following prompt can be used to instruct the AI ​​model: "If the user's mood is 'exhilarated,' generate elegant spring-themed wedding decoration ideas." Through this prompt, the AI ​​can create and visualize content that matches the user's wishes.

[0215] Thus, the present invention provides a system that takes into account the user's emotions and supports wedding preparations in a more personalized way. As a result, the user can have a more satisfying experience.

[0216] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0217] Step 1:

[0218] The server acquires basic data through the user's information terminal. This basic data includes the user's personal information, desired wedding date and theme, and other details. The acquired data is stored in the information management device. The input is the user's basic data, and the output is this data stored in the information management device.

[0219] Step 2:

[0220] When a user selects a theme on their information terminal, that theme is sent to the server. The server uses content generation artificial intelligence to generate visual data based on this theme information. The input is the theme information selected by the user, and the output is visual data such as decorative ideas and invitation designs tailored to the user's preferences.

[0221] Step 3:

[0222] Visual data is presented on an information terminal, and the user reviews it and provides feedback. Upon receiving the feedback, the server updates or regenerates the visual data. The input is the user's feedback, and the output is the updated visual data.

[0223] Step 4:

[0224] An emotion analysis device installed in the user's information terminal evaluates the user's emotional state in real time from their facial expressions and voice. The evaluated emotion data is sent to a server. The input is the user's real-time emotion data, and the output is the analyzed emotion information.

[0225] Step 5:

[0226] The server integrates the analyzed emotional information and feedback, and based on this, generates optimized suggestions that are tailored to the user's emotions. It utilizes a generative AI model to create visuals and plans that match the user's feelings. The input is emotional information and feedback, and the output is personalized suggestions.

[0227] Step 6:

[0228] Users interact with the system through a virtual assistant function on an information terminal to adjust wedding plans. The server performs sentiment analysis from the user's speech and text, providing advice and assistance tailored to the user's needs. Input is user speech or text data, and output is optimized assistance content.

[0229] 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.

[0230] 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.

[0231] 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.

[0232] [Second Embodiment]

[0233] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0234] 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.

[0235] 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).

[0236] 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.

[0237] 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.

[0238] 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).

[0239] 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.

[0240] 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.

[0241] 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.

[0242] 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.

[0243] 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.

[0244] 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".

[0245] This invention is a system that utilizes interaction between a generating AI and the user to facilitate wedding preparations. The system performs its functions through the following specific steps:

[0246] The server first retrieves basic information from the user and stores initial settings information about each user's wedding in a database. This information includes data such as the wedding date, number of participants, and theme.

[0247] Next, the server uses a generative AI to generate decorative ideas and invitation designs based on the theme selected by the user. The image generation AI learns from numerous existing designs and uses that to create visual content that matches the user's requests. The generated content is presented to the user via a terminal. The terminal provides the user with the ability to review the design and provide feedback as needed.

[0248] When a user submits feedback, the server analyzes it and regenerates the content as needed. This allows users to make choices that better match their preferences.

[0249] Furthermore, the system provides interactive support to users through a virtual planner function. Users can adjust their needs and preferences while conversing with a virtual planner on their device. For example, if a user tells the virtual planner their preferences for specific music or food, the server will immediately make suggestions based on that.

[0250] The server also analyzes communication between users and fairly distributes tasks related to wedding preparations. Tasks assigned to each user are notified via their device, and their progress is monitored. The server has a reminder function and sends notifications via the device as the deadline set by the user approaches.

[0251] In this way, the present invention provides a practical system that reduces the burden on users and allows for efficient wedding preparations. The specific operation of this system enables couples to make important decisions in a shorter amount of time, resulting in a smooth and stress-free wedding preparation process.

[0252] The following describes the processing flow.

[0253] Step 1:

[0254] The server retrieves basic information entered by the user via the terminal and stores it in a database. This basic information includes details about the wedding date, participants, and venue.

[0255] Step 2:

[0256] The user selects a wedding theme using the interface on their device. Once the theme selection is complete, the device sends it to the server.

[0257] Step 3:

[0258] The server analyzes the received theme information and uses image generation AI to automatically generate visual content (e.g., decoration ideas or invitation designs). The generated content reflects the user's preferences.

[0259] Step 4:

[0260] The server sends the generated content to the device and prompts the user for visual confirmation. The user can review the design on the device and provide feedback.

[0261] Step 5:

[0262] When a user submits feedback, the device sends that information to a server. The server analyzes the feedback, regenerates the content if necessary, and presents the revised version to the device again.

[0263] Step 6:

[0264] Users access the virtual planner function through their device and consult on their plans in an interactive manner. The server analyzes this conversation and presents revised plan suggestions in real time.

[0265] Step 7:

[0266] The server lists tasks based on the communication history between users and distributes them fairly using an appropriate algorithm. Each user is notified of their assigned task via their terminal.

[0267] Step 8:

[0268] The server continuously monitors task progress and sends reminders to the user's device according to the deadline set by the user. This feature allows users to complete their work without falling behind.

[0269] (Example 1)

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

[0271] Wedding preparations are complex and multifaceted, requiring efficient management of coordination among participants and numerous tasks. Furthermore, meeting the diverse needs of participants within a limited timeframe demands meticulous customization and rapid decision-making. Traditional methods struggle to meet these needs, necessitating a reduction in stress during the preparation process and ensuring a smoother flow.

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

[0273] In this invention, the server includes means for acquiring the user's basic information and storing it in an information storage device, means for generating visual content using a generation AI model based on a theme selected by the user, and means for presenting the generated content on the user's display device and receiving feedback. This enables efficient management of wedding preparations and customization to meet specific needs.

[0274] "User basic information" refers to data related to a specific user, such as the schedule, number of participants, and theme needed for wedding preparations.

[0275] "Information storage device" refers to digital storage media or databases used to store acquired data.

[0276] A "generative AI model" refers to an artificial intelligence system that generates new visual content and designs based on learned data.

[0277] "Visual content" refers to material presented to users as visual representations such as images and designs.

[0278] "User display device" refers to a device such as a screen or monitor that allows the user to visually confirm the generated content.

[0279] "Ratings" refer to feedback and comments received from users, which are used to improve design and content.

[0280] "Coordination among participants" refers to the process of aligning opinions and intentions among multiple users and stakeholders involved in the wedding ceremony.

[0281] "Customization" refers to changing or adjusting the content according to the individual user's needs and requests.

[0282] This invention is a system for efficiently carrying out wedding preparations. This system utilizes a generative AI model to manage various tasks while supporting communication between users. A specific embodiment of this system is described below.

[0283] The server retrieves the user's basic information, such as the wedding date, number of participants, and theme, and stores it in an information storage device. This aggregates the fundamental data necessary for setting up the wedding, making it available for subsequent processes.

[0284] The generative AI model is utilized by the server to generate visual content based on the theme selected by the user. Specifically, it learns existing design patterns to create decorative ideas and invitation designs. This visual content is presented on the user's display device, allowing the user to confirm the design and input an evaluation.

[0285] For example, when the user sends a prompt sentence like "Propose an elegant invitation design with a classic theme" to the server, the generative AI model generates an appropriate design proposal based on this. This generated design is presented through the terminal, and the user's feedback is received from there.

[0286] When the server receives the user's feedback, it analyzes the content and regenerates the design if necessary. This enables customization that more accurately meets the user's requirements.

[0287] Furthermore, the server has a function to analyze the communication between users and fairly distribute tasks. The progress of the work assigned to each user is monitored, and when the task deadline approaches, a reminder is sent to the user's display device.

[0288] Through this series of operations of this system, the user can smoothly proceed with the preparations for the wedding and can shape a customized plan in a short period. Throughout this process, the server makes full use of the generative AI model to provide optimal content and support based on the prompt sentence.

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

[0290] Step 1:

[0291] The server receives basic wedding information from the user. This information includes the wedding date, number of participants, and theme. The entered information is stored as data in the information storage device. This allows for wedding preparations tailored to the user's needs. For example, if the user enters "June 1, 2024, 100 participants, theme: garden," the server will save this data.

[0292] Step 2:

[0293] The server sends prompts to a generative AI model based on the theme selected by the user, and generates visual content. This process utilizes a generative AI model that has learned from many existing designs, outputting decorative ideas and invitation designs that match the user's theme. For example, it will generate designs in response to a request such as "Suggest a natural invitation design with a garden theme."

[0294] Step 3:

[0295] The device displays visual content provided by the server to the user. The user can review the design and provide feedback through the interface on the device. Specifically, the user might provide feedback such as, "The design is great, but I'd like the colors to be brighter."

[0296] Step 4:

[0297] Upon receiving user feedback, the server analyzes it and, if necessary, reuses the generation AI model to regenerate the design. This regeneration process outputs content that better matches the user's requests. Based on the input feedback, a new design, "Bright-toned Garden Theme Invitation," is generated.

[0298] Step 5:

[0299] The server monitors user interactions and distributes tasks fairly based on that. To monitor the progress of tasks assigned to each user, the server periodically checks and sends reminders to their devices. For example, it might set a task like "Complete final confirmation of invitations by next week" and send a notification as the deadline approaches.

[0300] (Application Example 1)

[0301] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0302] Wedding preparations are a complex process involving many elements, and the time and stress involved are significant problems. Furthermore, communication and task sharing among participants with differing opinions can be challenging. Additionally, a lack of expertise makes it difficult to find the right ideas to realize the desired wedding.

[0303] 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.

[0304] In this invention, the server includes means for acquiring the user's basic information and storing it in a data storage unit, means for generating visual content using a generation AI based on a theme selected by the user, and means for presenting the visual content on an information display device and receiving feedback. This enables the user to proceed smoothly with wedding preparations.

[0305] "User basic information" refers to initial data about the user, such as schedule, number of participants, and theme.

[0306] The "data storage unit" is a storage device or database used to store the user's basic information.

[0307] "Theme" refers to the concept indicating the theme and style of the wedding ceremony selected by the user.

[0308] "Generative AI" refers to artificial intelligence technology that automatically generates content according to user requirements.

[0309] "Visual content" refers to visual materials such as decorative ideas and invitation designs created by generative AI.

[0310] "Information display device" refers to a terminal for the user to view the visual content proposed by generative AI and input feedback.

[0311] "Feedback" refers to the information of opinions and requirements provided by the user for the generated visual content.

[0312] "Regeneration" refers to the process of re-creating the visual content based on the newly received feedback.

[0313] "Communication" refers to the conversational behavior that refers to the exchange of information and sharing of opinions among users.

[0314] "Task" refers to the specific work and activities in wedding preparation.

[0315] "Distribution" refers to the act of fairly allocating tasks to each user.

[0316] "Monitoring" refers to the process of continuously checking the progress of tasks.

[0317] "Notification" refers to a message or alert that notifies the information display device about the progress of tasks.

[0318] "Consumer robot" refers to an automated device that supports human life assumed to be used within the home.

[0319] "Virtual support function" refers to a software feature that assists users with wedding preparations through interaction.

[0320] A system for carrying out this invention includes, as its main components, a server, an information display device, and a consumer robot.

[0321] The server first collects the user's basic information and stores it in a data storage unit. This information includes the wedding date, the number of participants, and the desired theme. The server then uses generative AI to generate visual content based on the theme selected by the user. For example, the OpenAI API could be used as the generative AI model. This model learns from a vast amount of existing design data and uses it to generate new decorations and invitation designs. The generated content is then presented to the user through an information display device.

[0322] Users can view the presented content and provide feedback using an information display device. This information display device may include a tablet or smartphone. When a user enters feedback, the server analyzes the content and regenerates the visual content as needed. This enables the provision of optimal suggestions that better match the user's opinions.

[0323] Furthermore, consumer robots are equipped with virtual assistance functions, through which they interact with users. The robots use speech recognition software (e.g., Google Cloud Speech-to-Text) to understand user instructions and request appropriate suggestions from the server. An example of a prompt that might be generated is, "The user is planning a spring-themed wedding. Please generate garden party decoration ideas and invitation designs."

[0324] Ultimately, the server distributes tasks fairly among users and also monitors their progress. This allows users to manage their wedding preparations efficiently and with less burden throughout the entire process.

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

[0326] Step 1:

[0327] The server retrieves basic information from the user and stores it in the data storage unit. Inputs include the user's schedule, number of participants, and theme, while output is the storage of this information in the database. At this stage, the server accurately stores the necessary data to form the user's profile.

[0328] Step 2:

[0329] The user selects their desired wedding theme through the device. The input is the theme selected by the user, and the output is the generation of prompts based on that theme. In this step, the criteria for the content to be generated in the next step are determined according to the user's preferences.

[0330] Step 3:

[0331] The server uses a generative AI model to generate visual content based on a selected theme. The input is the prompt "The user is planning a spring-themed wedding...", and the output is generated decoration ideas and invitation designs. In this process, the AI ​​model creates new content based on the data it has learned.

[0332] Step 4:

[0333] The generated visual content is presented to the device for the user to review. The input is the visual content from the server, and the output is the user's feedback. In this step, the user reviews the actual content and determines whether it meets their needs.

[0334] Step 5:

[0335] The user inputs feedback on visual content into the device. The input is the content of the feedback, and the output is the transmission of that feedback to the server. At this stage, the user's opinion is reflected in the system.

[0336] Step 6:

[0337] The server analyzes the feedback and regenerates the visual content as needed. The input is user feedback, and the output is improved new visual content. Based on the feedback, the server reapplies the AI ​​model to generate more appropriate content.

[0338] Step 7:

[0339] The generated re-content is presented to the device again for the user to confirm. The input is the improved visual content, and the output is the user's final confirmation. This ensures that the user ultimately obtains the content they desired.

[0340] Step 8:

[0341] The server fairly distributes tasks among users, monitors their progress, and sends notifications to terminals. Inputs are user lists and data related to each user's role, while output is notification information. This step provides the necessary support for users to efficiently manage and complete tasks in a timely manner.

[0342] 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.

[0343] This invention relates to a wedding preparation support system incorporating an emotion engine. It can analyze the user's emotional state in real time and provide more personalized suggestions. An embodiment of this system is described in detail below.

[0344] First, the server retrieves the user's basic information via the terminal and stores it in a database. This information includes details such as the wedding date, venue, and number of attendees. The user also selects a wedding theme using the interface on the terminal. This theme information is then sent to the server.

[0345] The server automatically generates visual content (such as decorative ideas or invitation designs) using image generation AI based on the selected theme and user preferences. The generated content is sent to the user's device, where it awaits review and feedback. The user reviews the design on their device and provides feedback as needed.

[0346] When feedback is provided, the server analyzes its content, regenerates it as needed, and re-presents it to the user's device. At this point, the emotion engine activates, determining the user's emotional state from user input information and data acquired from sensors such as the device's camera and microphone. This emotional information is incorporated into the feedback analysis process and used to determine the content to be generated and how it is presented.

[0347] Furthermore, users can use the virtual planner function to adjust their wedding plans through interactive conversations with the system. During this process, the emotion engine analyzes the emotions associated with the user's speech and text input, and the virtual planner provides suggestions optimized for the user's emotions. For example, if the user is feeling stressed, it will offer suggestions and support plans to help them relax.

[0348] Furthermore, the server analyzes user communication and fairly distributes tasks based on information obtained from the emotion engine. Tasks are notified to users via their devices, and their progress is monitored. The server sends timely reminders to help users complete tasks on time. It is also possible to adjust tasks that are burdening users based on emotion data.

[0349] Thus, the present invention provides a more comfortable and convenient wedding preparation process for users through a wedding preparation support system using an emotion engine. This system allows users to have a personalized experience in every aspect of wedding preparation, reducing the stress of planning.

[0350] The following describes the processing flow.

[0351] Step 1:

[0352] The user enters basic information via the device and selects a wedding theme. The device then sends this information to the server.

[0353] Step 2:

[0354] The server checks the basic information stored in the database, instructs the image generation AI based on the user's theme, and generates content (decorative ideas and invitation designs).

[0355] Step 3:

[0356] The server sends the generated content to the device and presents it to the user. The user uses the device to view the content and provides reactions via the camera and microphone for analysis by the emotion engine.

[0357] Step 4:

[0358] The emotion engine analyzes the user's reaction data and determines their emotional state. This information is then sent to the server.

[0359] Step 5:

[0360] Users input their opinions on the content through feedback on their devices and send them to the server.

[0361] Step 6:

[0362] The server analyzes the feedback and the user's emotional state, and regenerates the content as needed. The regenerated content is then presented to the user again.

[0363] Step 7:

[0364] Users access the virtual planner function and consult with the server about wedding plans through interactive dialogue. The emotion engine analyzes the user's emotions in real time during the dialogue, and the server makes appropriate suggestions based on that information.

[0365] Step 8:

[0366] The server fairly distributes the tasks necessary for wedding preparations based on the communication history and emotional data between users, and notifies them via their devices.

[0367] Step 9:

[0368] The server monitors progress and sends timely reminders to users. It also takes emotional data into consideration and reassigns or adjusts tasks that are causing burdens.

[0369] (Example 2)

[0370] 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".

[0371] Traditional wedding planning often presented challenges in creating optimal plans tailored to users' emotional states and individual preferences, frequently leading to stress. Furthermore, inadequate task management could result in unfair workload distribution among users. There was a need to address these issues and provide a more personalized wedding planning experience.

[0372] 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.

[0373] In this invention, the server includes means for collecting basic user information and storing it in information storage, means for generating visual data using a generation algorithm based on a theme selected by the user, and means for determining the user's state using an emotion analysis engine. This enables planning optimized for the user's individual preferences and emotional state, and the provision of visually appealing content.

[0374] "User basic information" refers to fundamental information related to wedding preparations, such as the individual's name, contact information, event date, venue, and expected number of attendees.

[0375] "Information storage" refers to a system or medium that holds data and allows it to be retrieved as needed.

[0376] A "generative algorithm" refers to a set of procedures or processes for automatically generating visual or other content based on a specified theme or user preferences.

[0377] "Visual data" refers to materials that provide users with visual information, such as images, videos, and graphics.

[0378] An "emotion analysis engine" refers to a software or hardware system that analyzes and determines a user's emotional state based on sensor data and input content.

[0379] An "information terminal" refers to an electronic device that a user directly operates to input and output information.

[0380] "Communication data" refers to a collection of information sent and received between users or systems.

[0381] "Workload" refers to the series of tasks or workload that a user must complete within a specific period.

[0382] A "reminder" refers to a message or alert used to notify a user that a specific task or event should be carried out at a scheduled time.

[0383] This invention provides a system for efficiently and personally preparing for a wedding, combining an emotion analysis engine with a visual content generation function. The system primarily operates using a server, terminals, and a generative AI model.

[0384] The server receives basic information provided by the user via the terminal and stores it in its information storage. This information includes fundamental data such as the wedding date, venue, and number of attendees. The user can use the terminal to select a wedding theme on the interface. A specific example of a theme is "beach wedding." The selected theme information is then sent to the server.

[0385] The server utilizes a generation algorithm to generate visual data based on the selected theme and user preferences. This involves a generation AI model, and an example prompt might be, "Generate decoration ideas for a beach wedding theme." Using this prompt, the generation AI model generates images and graphics to create visual content.

[0386] The generated visual data is sent from the server to the device, where the user reviews it. The user can review the design and provide feedback. Once feedback is received, the server regenerates the visual data as needed based on that feedback and presents it again to the device.

[0387] Furthermore, an emotion analysis engine is operated by a server and analyzes data obtained from the device's sensors to determine the user's emotional state. This emotional information is reflected in the adjustment of generated content and the way suggestions are made to the user. For example, if it is determined that the user is particularly stressed, plans and suggestions that contribute to relaxation will be presented.

[0388] In this way, the present invention aims to reduce stress during wedding preparations by enabling flexible planning and content generation that responds to the user's emotional state and individual needs.

[0389] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0390] Step 1:

[0391] The server receives basic information entered by the user via a terminal. Specifically, the user enters information such as the wedding date, venue, and number of attendees into the terminal's interface. The terminal aggregates this information and sends it to the server. The server stores the received information in its information storage. This stored information is then used in subsequent processes.

[0392] Step 2:

[0393] The user selects a wedding theme on their device. For example, they can choose a theme such as "Classic Wedding." The selected theme information is sent from the device to the server. The server applies a generation algorithm based on the received theme information and provides an appropriate prompt message (e.g., "Generate decoration ideas for a classic wedding theme") to the AI ​​model.

[0394] Step 3:

[0395] The server generates visual data using a generative AI model. Inputs include prompts provided by the server and pre-stored user information related to themes. The generative AI model creates images and graphics content based on these inputs. The output of this process is sent to the terminal as visually engaging content.

[0396] Step 4:

[0397] Users view visual data provided by the server on their devices and provide feedback as needed. For example, a user might input feedback through their device, such as "the design should be a bit more colorful." This feedback is then sent back to the server.

[0398] Step 5:

[0399] The server analyzes user feedback. The input is user feedback information, which is then analyzed, and the generation algorithm is executed again. The regenerated visual data is then presented again from the server to the user's terminal. At this stage, the server simultaneously determines the user's emotional state using an emotion analysis engine, and adjustments are made based on the results.

[0400] Step 6:

[0401] Based on the user's emotional state, the server further optimizes the presentation and content of the generated material. Specifically, if the analysis indicates the user is experiencing stress, it adds designs and suggestions that promote relaxation. The goal is to deliver the service in the most appropriate way for the user.

[0402] (Application Example 2)

[0403] 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 as the "terminal".

[0404] There is a need to reduce the burden of wedding preparations and provide personalized support based on the user's emotions. In particular, a challenge is that suggestions and progress management that take the user's emotional state into account are not being adequately implemented.

[0405] 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.

[0406] In this invention, the server includes means for acquiring basic user data and storing it in an information management device, means for generating visual data using content generation artificial intelligence based on a theme selected by the user, and means for determining the user's emotional state using an emotion analysis device and integrating that information into the entire system to provide optimized suggestions. This makes it possible to provide optimal support for wedding preparations tailored to the user's emotions.

[0407] "User basic data" refers to data such as the user's personal information, preferences, desired dates, and themes, which are necessary for wedding preparations.

[0408] An "information management device" is a database or server used to store and manage user basic data, generated content, feedback information, and other similar information.

[0409] "Content-generating artificial intelligence" is artificial intelligence that automatically generates visual data and decorative ideas based on themes and preferences selected by the user.

[0410] "Visual data" refers to information in a format that users can visually review, such as wedding decoration ideas or invitation designs.

[0411] An "information terminal" is a communication device or computer used by users to exchange content and feedback.

[0412] An "emotion analysis device" is a device that uses sensors and artificial intelligence to identify emotions in order to analyze a user's emotional state in real time.

[0413] The "virtual assistant function" is a software feature that provides suggestions and support regarding wedding preparations through interaction with the user.

[0414] The system for realizing this invention features advanced functions to assist users in their wedding preparations. Specifically, it includes an information management device, content generation artificial intelligence, emotion analysis device, and virtual assistant function. This system personalizes wedding preparations and provides users with optimal support.

[0415] First, the server acquires basic data from the user via an information terminal and stores it in the information management device. The acquired data includes the user's personal information, wedding date, and preferred theme.

[0416] Next, based on the theme selected by the user, the content-generating artificial intelligence generates visual data. This visual data includes decorative ideas and invitation designs, offering suggestions tailored to the user's preferences. The generated data is presented to the user via an information terminal, and feedback is received. This process is repeated multiple times until the user's opinions are reflected.

[0417] The emotion analysis device uses sensors installed in the information terminal to determine the user's emotional state in real time from their facial expressions and voice. Based on this emotional information, the server makes optimal suggestions tailored to the user's emotions. For example, if the user is feeling stressed, it will provide relaxing guidance to alleviate their tension.

[0418] Users interact with the system through a virtual assistant function to adjust their wedding plans. The server analyzes the user's emotions from their statements and provides optimized suggestions. In this way, users can proceed with wedding preparations more smoothly.

[0419] For example, if a user is considering a "spring" themed wedding, the following prompt can be used to instruct the AI ​​model: "If the user's mood is 'exhilarated,' generate elegant spring-themed wedding decoration ideas." Through this prompt, the AI ​​can create and visualize content that matches the user's wishes.

[0420] Thus, the present invention provides a system that takes into account the user's emotions and supports wedding preparations in a more personalized way. As a result, the user can have a more satisfying experience.

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

[0422] Step 1:

[0423] The server acquires basic data through the user's information terminal. This basic data includes the user's personal information, desired wedding date and theme, and other details. The acquired data is stored in the information management device. The input is the user's basic data, and the output is this data stored in the information management device.

[0424] Step 2:

[0425] When a user selects a theme on their information terminal, that theme is sent to the server. The server uses content generation artificial intelligence to generate visual data based on this theme information. The input is the theme information selected by the user, and the output is visual data such as decorative ideas and invitation designs tailored to the user's preferences.

[0426] Step 3:

[0427] Visual data is presented on an information terminal, and the user reviews it and provides feedback. Upon receiving the feedback, the server updates or regenerates the visual data. The input is the user's feedback, and the output is the updated visual data.

[0428] Step 4:

[0429] An emotion analysis device installed in the user's information terminal evaluates the user's emotional state in real time from their facial expressions and voice. The evaluated emotion data is sent to a server. The input is the user's real-time emotion data, and the output is the analyzed emotion information.

[0430] Step 5:

[0431] The server integrates the analyzed emotional information and feedback, and based on this, generates optimized suggestions that are tailored to the user's emotions. It utilizes a generative AI model to create visuals and plans that match the user's feelings. The input is emotional information and feedback, and the output is personalized suggestions.

[0432] Step 6:

[0433] Users interact with the system through a virtual assistant function on an information terminal to adjust wedding plans. The server performs sentiment analysis from the user's speech and text, providing advice and assistance tailored to the user's needs. Input is user speech or text data, and output is optimized assistance content.

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

[0435] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include 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.

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

[0437] [Third Embodiment]

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

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

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

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

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

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

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

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

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

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

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

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

[0450] This invention is a system that utilizes interaction between a generating AI and the user to facilitate wedding preparations. The system performs its functions through the following specific steps:

[0451] The server first retrieves basic information from the user and stores initial settings information about each user's wedding in a database. This information includes data such as the wedding date, number of participants, and theme.

[0452] Next, the server uses a generative AI to generate decorative ideas and invitation designs based on the theme selected by the user. The image generation AI learns from numerous existing designs and uses that to create visual content that matches the user's requests. The generated content is presented to the user via a terminal. The terminal provides the user with the ability to review the design and provide feedback as needed.

[0453] When a user submits feedback, the server analyzes it and regenerates the content as needed. This allows users to make choices that better match their preferences.

[0454] Furthermore, the system provides interactive support to users through a virtual planner function. Users can adjust their needs and preferences while conversing with a virtual planner on their device. For example, if a user tells the virtual planner their preferences for specific music or food, the server will immediately make suggestions based on that.

[0455] The server also analyzes communication between users and fairly distributes tasks related to wedding preparations. Tasks assigned to each user are notified via their device, and their progress is monitored. The server has a reminder function and sends notifications via the device as the deadline set by the user approaches.

[0456] In this way, the present invention provides a practical system that reduces the burden on users and allows for efficient wedding preparations. The specific operation of this system enables couples to make important decisions in a shorter amount of time, resulting in a smooth and stress-free wedding preparation process.

[0457] The following describes the processing flow.

[0458] Step 1:

[0459] The server retrieves basic information entered by the user via the terminal and stores it in a database. This basic information includes details about the wedding date, participants, and venue.

[0460] Step 2:

[0461] The user selects a wedding theme using the interface on their device. Once the theme selection is complete, the device sends it to the server.

[0462] Step 3:

[0463] The server analyzes the received theme information and uses image generation AI to automatically generate visual content (e.g., decoration ideas or invitation designs). The generated content reflects the user's preferences.

[0464] Step 4:

[0465] The server sends the generated content to the device and prompts the user for visual confirmation. The user can review the design on the device and provide feedback.

[0466] Step 5:

[0467] When a user submits feedback, the device sends that information to a server. The server analyzes the feedback, regenerates the content if necessary, and presents the revised version to the device again.

[0468] Step 6:

[0469] Users access the virtual planner function through their device and consult on their plans in an interactive manner. The server analyzes this conversation and presents revised plan suggestions in real time.

[0470] Step 7:

[0471] The server lists tasks based on the communication history between users and distributes them fairly using an appropriate algorithm. Each user is notified of their assigned task via their terminal.

[0472] Step 8:

[0473] The server continuously monitors task progress and sends reminders to the user's device according to the deadline set by the user. This feature allows users to complete their work without falling behind.

[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] Wedding preparations are complex and multifaceted, requiring efficient management of coordination among participants and numerous tasks. Furthermore, meeting the diverse needs of participants within a limited timeframe demands meticulous customization and rapid decision-making. Traditional methods struggle to meet these needs, necessitating a reduction in stress during the preparation process and ensuring a smoother flow.

[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 means for acquiring the user's basic information and storing it in an information storage device, means for generating visual content using a generation AI model based on a theme selected by the user, and means for presenting the generated content on the user's display device and receiving feedback. This enables efficient management of wedding preparations and customization to meet specific needs.

[0479] "User basic information" refers to data related to a specific user, such as the schedule, number of participants, and theme needed for wedding preparations.

[0480] "Information storage device" refers to digital storage media or databases used to store acquired data.

[0481] A "generative AI model" refers to an artificial intelligence system that generates new visual content and designs based on learned data.

[0482] "Visual content" refers to material presented to users as visual representations such as images and designs.

[0483] "User display device" refers to a device such as a screen or monitor that allows the user to visually confirm the generated content.

[0484] "Ratings" refer to feedback and comments received from users, which are used to improve design and content.

[0485] "Coordination among participants" refers to the process of aligning opinions and intentions among multiple users and stakeholders involved in the wedding ceremony.

[0486] "Customization" refers to changing or adjusting the content according to the individual user's needs and requests.

[0487] This invention is a system for efficiently carrying out wedding preparations. This system utilizes a generative AI model to manage various tasks while supporting communication between users. A specific embodiment of this system is described below.

[0488] The server retrieves the user's basic information, such as the wedding date, number of participants, and theme, and stores it in an information storage device. This aggregates the fundamental data necessary for setting up the wedding, making it available for subsequent processes.

[0489] The generative AI model is used by the server to generate visual content based on a theme selected by the user. Specifically, it learns existing design patterns to generate decorative ideas and invitation designs. This visual content is presented on the user's display device, allowing the user to review the design and provide feedback.

[0490] For example, if a user sends a prompt to the server such as, "Suggest an elegant invitation design with a classic theme," the AI ​​model will generate appropriate design suggestions based on this prompt. These generated designs are then presented through the device, and user feedback is accepted from there.

[0491] When the server receives user feedback, it analyzes the content and regenerates the design if necessary. This allows for more accurate customization to meet user requests.

[0492] Furthermore, the server analyzes user interactions and has the function of fairly distributing tasks. The progress of tasks assigned to each user is monitored, and when the deadline for a task approaches, a reminder is sent to the user's display device.

[0493] This system's workflow allows users to smoothly proceed with wedding preparations and quickly bring their customized plans to life. Throughout this entire process, the server utilizes a generative AI model to provide optimal content and support based on prompts.

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

[0495] Step 1:

[0496] The server receives basic wedding information from the user. This information includes the wedding date, number of participants, and theme. The entered information is stored as data in the information storage device. This allows for wedding preparations tailored to the user's needs. For example, if the user enters "June 1, 2024, 100 participants, theme: garden," the server will save this data.

[0497] Step 2:

[0498] The server sends prompts to a generative AI model based on the theme selected by the user, and generates visual content. This process utilizes a generative AI model that has learned from many existing designs, outputting decorative ideas and invitation designs that match the user's theme. For example, it will generate designs in response to a request such as "Suggest a natural invitation design with a garden theme."

[0499] Step 3:

[0500] The device displays visual content provided by the server to the user. The user can review the design and provide feedback through the interface on the device. Specifically, the user might provide feedback such as, "The design is great, but I'd like the colors to be brighter."

[0501] Step 4:

[0502] Upon receiving user feedback, the server analyzes it and, if necessary, reuses the generation AI model to regenerate the design. This regeneration process outputs content that better matches the user's requests. Based on the input feedback, a new design, "Bright-toned Garden Theme Invitation," is generated.

[0503] Step 5:

[0504] The server monitors user interactions and distributes tasks fairly based on that. To monitor the progress of tasks assigned to each user, the server periodically checks and sends reminders to their devices. For example, it might set a task like "Complete final confirmation of invitations by next week" and send a notification as the deadline approaches.

[0505] (Application Example 1)

[0506] 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."

[0507] Wedding preparations are a complex process involving many elements, and the time and stress involved are significant problems. Furthermore, communication and task sharing among participants with differing opinions can be challenging. Additionally, a lack of expertise makes it difficult to find the right ideas to realize the desired wedding.

[0508] 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.

[0509] In this invention, the server includes means for acquiring the user's basic information and storing it in a data storage unit, means for generating visual content using a generation AI based on a theme selected by the user, and means for presenting the visual content on an information display device and receiving feedback. This enables the user to proceed smoothly with wedding preparations.

[0510] "User basic information" refers to initial data about the user, such as schedule, number of participants, and theme.

[0511] The "data storage unit" is a storage device or database used to store the user's basic information.

[0512] "Theme" is a concept that indicates the theme or style of the wedding chosen by the user.

[0513] "Generative AI" is an artificial intelligence technology that automatically generates content according to user requests.

[0514] "Visual content" refers to visual materials such as decorative ideas and invitation designs created by generational AI.

[0515] An "information display device" is a terminal used by users to view visual content suggested by AI-generated content and to input feedback.

[0516] "Feedback" refers to the opinions and requests that users provide regarding the generated visual content.

[0517] "Regeneration" is the process of recreating visual content based on newly received feedback.

[0518] "Communication" refers to conversational behavior involving the exchange of information and sharing of opinions among users.

[0519] "Tasks" refer to the specific tasks and activities involved in wedding preparations.

[0520] "Distribution" refers to the act of fairly assigning tasks to each user.

[0521] "Monitoring" is the process of continuously checking the progress of a task.

[0522] A "notification" is a message or alert that informs an information display device about the progress of a task.

[0523] A "consumer robot" is an automated device designed to assist in human life within the home.

[0524] "Virtual support function" refers to a software feature that assists users with wedding preparations through interaction.

[0525] A system for carrying out this invention includes, as its main components, a server, an information display device, and a consumer robot.

[0526] The server first collects the user's basic information and stores it in a data storage unit. This information includes the wedding date, the number of participants, and the desired theme. The server then uses generative AI to generate visual content based on the theme selected by the user. For example, the OpenAI API could be used as the generative AI model. This model learns from a vast amount of existing design data and uses it to generate new decorations and invitation designs. The generated content is then presented to the user through an information display device.

[0527] Users can view the presented content and provide feedback using an information display device. This information display device may include a tablet or smartphone. When a user enters feedback, the server analyzes the content and regenerates the visual content as needed. This enables the provision of optimal suggestions that better match the user's opinions.

[0528] Furthermore, consumer robots are equipped with virtual assistance functions, through which they interact with users. The robots use speech recognition software (e.g., Google Cloud Speech-to-Text) to understand user instructions and request appropriate suggestions from the server. An example of a prompt that might be generated is, "The user is planning a spring-themed wedding. Please generate garden party decoration ideas and invitation designs."

[0529] Ultimately, the server distributes tasks fairly among users and also monitors their progress. This allows users to manage their wedding preparations efficiently and with less burden throughout the entire process.

[0530] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0531] Step 1:

[0532] The server retrieves basic information from the user and stores it in the data storage unit. Inputs include the user's schedule, number of participants, and theme, while output is the storage of this information in the database. At this stage, the server accurately stores the necessary data to form the user's profile.

[0533] Step 2:

[0534] The user selects their desired wedding theme through the device. The input is the theme selected by the user, and the output is the generation of prompts based on that theme. In this step, the criteria for the content to be generated in the next step are determined according to the user's preferences.

[0535] Step 3:

[0536] The server uses a generative AI model to generate visual content based on a selected theme. The input is the prompt "The user is planning a spring-themed wedding...", and the output is generated decoration ideas and invitation designs. In this process, the AI ​​model creates new content based on the data it has learned.

[0537] Step 4:

[0538] The generated visual content is presented to the device for the user to review. The input is the visual content from the server, and the output is the user's feedback. In this step, the user reviews the actual content and determines whether it meets their needs.

[0539] Step 5:

[0540] The user inputs feedback on visual content into the device. The input is the content of the feedback, and the output is the transmission of that feedback to the server. At this stage, the user's opinion is reflected in the system.

[0541] Step 6:

[0542] The server analyzes the feedback and regenerates the visual content as needed. The input is user feedback, and the output is improved new visual content. Based on the feedback, the server reapplies the AI ​​model to generate more appropriate content.

[0543] Step 7:

[0544] The generated re-content is presented to the device again for the user to confirm. The input is the improved visual content, and the output is the user's final confirmation. This ensures that the user ultimately obtains the content they desired.

[0545] Step 8:

[0546] The server fairly distributes tasks among users, monitors their progress, and sends notifications to terminals. Inputs are user lists and data related to each user's role, while output is notification information. This step provides the necessary support for users to efficiently manage and complete tasks in a timely manner.

[0547] 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.

[0548] This invention relates to a wedding preparation support system incorporating an emotion engine. It can analyze the user's emotional state in real time and provide more personalized suggestions. An embodiment of this system is described in detail below.

[0549] First, the server retrieves the user's basic information via the terminal and stores it in a database. This information includes details such as the wedding date, venue, and number of attendees. The user also selects a wedding theme using the interface on the terminal. This theme information is then sent to the server.

[0550] The server automatically generates visual content (such as decorative ideas or invitation designs) using image generation AI based on the selected theme and user preferences. The generated content is sent to the user's device, where it awaits review and feedback. The user reviews the design on their device and provides feedback as needed.

[0551] When feedback is provided, the server analyzes its content, regenerates it as needed, and re-presents it to the user's device. At this point, the emotion engine activates, determining the user's emotional state from user input information and data acquired from sensors such as the device's camera and microphone. This emotional information is incorporated into the feedback analysis process and used to determine the content to be generated and how it is presented.

[0552] Furthermore, users can use the virtual planner function to adjust their wedding plans through interactive conversations with the system. During this process, the emotion engine analyzes the emotions associated with the user's speech and text input, and the virtual planner provides suggestions optimized for the user's emotions. For example, if the user is feeling stressed, it will offer suggestions and support plans to help them relax.

[0553] Furthermore, the server analyzes user communication and fairly distributes tasks based on information obtained from the emotion engine. Tasks are notified to users via their devices, and their progress is monitored. The server sends timely reminders to help users complete tasks on time. It is also possible to adjust tasks that are burdening users based on emotion data.

[0554] Thus, the present invention provides a more comfortable and convenient wedding preparation process for users through a wedding preparation support system using an emotion engine. This system allows users to have a personalized experience in every aspect of wedding preparation, reducing the stress of planning.

[0555] The following describes the processing flow.

[0556] Step 1:

[0557] The user enters basic information via the device and selects a wedding theme. The device then sends this information to the server.

[0558] Step 2:

[0559] The server checks the basic information stored in the database, instructs the image generation AI based on the user's theme, and generates content (decorative ideas and invitation designs).

[0560] Step 3:

[0561] The server sends the generated content to the device and presents it to the user. The user uses the device to view the content and provides reactions via the camera and microphone for analysis by the emotion engine.

[0562] Step 4:

[0563] The emotion engine analyzes the user's reaction data and determines their emotional state. This information is then sent to the server.

[0564] Step 5:

[0565] Users input their opinions on the content through feedback on their devices and send them to the server.

[0566] Step 6:

[0567] The server analyzes the feedback and the user's emotional state, and regenerates the content as needed. The regenerated content is then presented to the user again.

[0568] Step 7:

[0569] Users access the virtual planner function and consult with the server about wedding plans through interactive dialogue. The emotion engine analyzes the user's emotions in real time during the dialogue, and the server makes appropriate suggestions based on that information.

[0570] Step 8:

[0571] The server fairly distributes the tasks necessary for wedding preparations based on the communication history and emotional data between users, and notifies them via their devices.

[0572] Step 9:

[0573] The server monitors progress and sends timely reminders to users. It also takes emotional data into consideration and reassigns or adjusts tasks that are causing burdens.

[0574] (Example 2)

[0575] 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."

[0576] Traditional wedding planning often presented challenges in creating optimal plans tailored to users' emotional states and individual preferences, frequently leading to stress. Furthermore, inadequate task management could result in unfair workload distribution among users. There was a need to address these issues and provide a more personalized wedding planning experience.

[0577] 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.

[0578] In this invention, the server includes means for collecting basic user information and storing it in information storage, means for generating visual data using a generation algorithm based on a theme selected by the user, and means for determining the user's state using an emotion analysis engine. This enables planning optimized for the user's individual preferences and emotional state, and the provision of visually appealing content.

[0579] "User basic information" refers to fundamental information related to wedding preparations, such as the individual's name, contact information, event date, venue, and expected number of attendees.

[0580] "Information storage" refers to a system or medium that holds data and allows it to be retrieved as needed.

[0581] A "generative algorithm" refers to a set of procedures or processes for automatically generating visual or other content based on a specified theme or user preferences.

[0582] "Visual data" refers to materials that provide users with visual information, such as images, videos, and graphics.

[0583] An "emotion analysis engine" refers to a software or hardware system that analyzes and determines a user's emotional state based on sensor data and input content.

[0584] An "information terminal" refers to an electronic device that a user directly operates to input and output information.

[0585] "Communication data" refers to a collection of information sent and received between users or systems.

[0586] "Workload" refers to the set of tasks or workload that a user must complete within a specific period.

[0587] A "reminder" refers to a message or alert used to notify a user that a specific task or event should be carried out at a scheduled time.

[0588] This invention provides a system for efficiently and personally preparing for a wedding, combining an emotion analysis engine with a visual content generation function. The system primarily operates using a server, terminals, and a generative AI model.

[0589] The server receives basic information provided by the user via the terminal and stores it in its information storage. This information includes fundamental data such as the wedding date, venue, and number of attendees. The user can use the terminal to select a wedding theme on the interface. A specific example of a theme is "beach wedding." The selected theme information is then sent to the server.

[0590] The server utilizes a generation algorithm to generate visual data based on the selected theme and user preferences. This involves a generation AI model, and an example prompt might be, "Generate decoration ideas for a beach wedding theme." Using this prompt, the generation AI model generates images and graphics to create visual content.

[0591] The generated visual data is sent from the server to the device, where the user reviews it. The user can review the design and provide feedback. Once feedback is received, the server regenerates the visual data as needed based on that feedback and presents it again to the device.

[0592] Furthermore, an emotion analysis engine is operated by a server and analyzes data obtained from the device's sensors to determine the user's emotional state. This emotional information is reflected in the adjustment of generated content and the way suggestions are made to the user. For example, if it is determined that the user is particularly stressed, plans and suggestions that contribute to relaxation will be presented.

[0593] In this way, the present invention aims to reduce stress during wedding preparations by enabling flexible planning and content generation that responds to the user's emotional state and individual needs.

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

[0595] Step 1:

[0596] The server receives basic information entered by the user via a terminal. Specifically, the user enters information such as the wedding date, venue, and number of attendees into the terminal's interface. The terminal aggregates this information and sends it to the server. The server stores the received information in its information storage. This stored information is then used in subsequent processes.

[0597] Step 2:

[0598] The user selects a wedding theme on their device. For example, they can choose a theme such as "Classic Wedding." The selected theme information is sent from the device to the server. The server applies a generation algorithm based on the received theme information and provides an appropriate prompt message (e.g., "Generate decoration ideas for a classic wedding theme") to the AI ​​model.

[0599] Step 3:

[0600] The server generates visual data using a generative AI model. Inputs include prompts provided by the server and pre-stored user information related to themes. The generative AI model creates images and graphics content based on these inputs. The output of this process is sent to the terminal as visually engaging content.

[0601] Step 4:

[0602] Users view visual data provided by the server on their devices and provide feedback as needed. For example, a user might input feedback through their device, such as "the design should be a bit more colorful." This feedback is then sent back to the server.

[0603] Step 5:

[0604] The server analyzes user feedback. The input is user feedback information, which is then analyzed, and the generation algorithm is executed again. The regenerated visual data is then presented again from the server to the user's terminal. At this stage, the server simultaneously determines the user's emotional state using an emotion analysis engine, and adjustments are made based on the results.

[0605] Step 6:

[0606] Based on the user's emotional state, the server further optimizes the presentation and content of the generated material. Specifically, if the analysis indicates the user is experiencing stress, it adds designs and suggestions that promote relaxation. The goal is to deliver the service in the most appropriate way for the user.

[0607] (Application Example 2)

[0608] 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."

[0609] There is a need to reduce the burden of wedding preparations and provide personalized support based on the user's emotions. In particular, a challenge is that suggestions and progress management that take the user's emotional state into account are not being adequately implemented.

[0610] 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.

[0611] In this invention, the server includes means for acquiring basic user data and storing it in an information management device, means for generating visual data using content generation artificial intelligence based on a theme selected by the user, and means for determining the user's emotional state using an emotion analysis device and integrating that information into the entire system to provide optimized suggestions. This makes it possible to provide optimal support for wedding preparations tailored to the user's emotions.

[0612] "User basic data" refers to data such as the user's personal information, preferences, desired dates, and themes, which are necessary for wedding preparations.

[0613] An "information management device" is a database or server used to store and manage user basic data, generated content, feedback information, and other similar information.

[0614] "Content-generating artificial intelligence" is artificial intelligence that automatically generates visual data and decorative ideas based on themes and preferences selected by the user.

[0615] "Visual data" refers to information in a format that users can visually review, such as wedding decoration ideas or invitation designs.

[0616] An "information terminal" is a communication device or computer used by users to exchange content and feedback.

[0617] An "emotion analysis device" is a device that uses sensors and artificial intelligence to identify emotions in order to analyze a user's emotional state in real time.

[0618] The "virtual assistant function" is a software feature that provides suggestions and support regarding wedding preparations through interaction with the user.

[0619] The system for realizing this invention features advanced functions to assist users in their wedding preparations. Specifically, it includes an information management device, content generation artificial intelligence, emotion analysis device, and virtual assistant function. This system personalizes wedding preparations and provides users with optimal support.

[0620] First, the server acquires basic data from the user via an information terminal and stores it in the information management device. The acquired data includes the user's personal information, wedding date, and preferred theme.

[0621] Next, based on the theme selected by the user, the content-generating artificial intelligence generates visual data. This visual data includes decorative ideas and invitation designs, offering suggestions tailored to the user's preferences. The generated data is presented to the user via an information terminal, and feedback is received. This process is repeated multiple times until the user's opinions are reflected.

[0622] The emotion analysis device uses sensors installed in the information terminal to determine the user's emotional state in real time from their facial expressions and voice. Based on this emotional information, the server makes optimal suggestions tailored to the user's emotions. For example, if the user is feeling stressed, it will provide relaxing guidance to alleviate their tension.

[0623] Users interact with the system through a virtual assistant function to adjust their wedding plans. The server analyzes the user's emotions from their statements and provides optimized suggestions. In this way, users can proceed with wedding preparations more smoothly.

[0624] For example, if a user is considering a "spring" themed wedding, the following prompt can be used to instruct the AI ​​model: "If the user's mood is 'exhilarated,' generate elegant spring-themed wedding decoration ideas." Through this prompt, the AI ​​can create and visualize content that matches the user's wishes.

[0625] Thus, the present invention provides a system that takes into account the user's emotions and supports wedding preparations in a more personalized way. As a result, the user can have a more satisfying experience.

[0626] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0627] Step 1:

[0628] The server acquires basic data through the user's information terminal. This basic data includes the user's personal information, desired wedding date and theme, and other details. The acquired data is stored in the information management device. The input is the user's basic data, and the output is this data stored in the information management device.

[0629] Step 2:

[0630] When a user selects a theme on their information terminal, that theme is sent to the server. The server uses content generation artificial intelligence to generate visual data based on this theme information. The input is the theme information selected by the user, and the output is visual data such as decorative ideas and invitation designs tailored to the user's preferences.

[0631] Step 3:

[0632] Visual data is presented on an information terminal, and the user reviews it and provides feedback. Upon receiving the feedback, the server updates or regenerates the visual data. The input is the user's feedback, and the output is the updated visual data.

[0633] Step 4:

[0634] An emotion analysis device installed in the user's information terminal evaluates the user's emotional state in real time from their facial expressions and voice. The evaluated emotion data is sent to a server. The input is the user's real-time emotion data, and the output is the analyzed emotion information.

[0635] Step 5:

[0636] The server integrates the analyzed emotional information and feedback, and based on this, generates optimized suggestions that are tailored to the user's emotions. It utilizes a generative AI model to create visuals and plans that match the user's feelings. The input is emotional information and feedback, and the output is personalized suggestions.

[0637] Step 6:

[0638] Users interact with the system through a virtual assistant function on an information terminal to adjust wedding plans. The server performs sentiment analysis from the user's speech and text, providing advice and assistance tailored to the user's needs. Input is user speech or text data, and output is optimized assistance content.

[0639] 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.

[0640] 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.

[0641] 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.

[0642] [Fourth Embodiment]

[0643] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0644] 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.

[0645] 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).

[0646] 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.

[0647] 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.

[0648] 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).

[0649] 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.

[0650] 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.

[0651] 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.

[0652] 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.

[0653] 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.

[0654] 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.

[0655] 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".

[0656] This invention is a system that utilizes interaction between a generating AI and the user to facilitate wedding preparations. The system performs its functions through the following specific steps:

[0657] The server first retrieves basic information from the user and stores initial settings information about each user's wedding in a database. This information includes data such as the wedding date, number of participants, and theme.

[0658] Next, the server uses a generative AI to generate decorative ideas and invitation designs based on the theme selected by the user. The image generation AI learns from numerous existing designs and uses that to create visual content that matches the user's requests. The generated content is presented to the user via a terminal. The terminal provides the user with the ability to review the design and provide feedback as needed.

[0659] When a user submits feedback, the server analyzes it and regenerates the content as needed. This allows users to make choices that better match their preferences.

[0660] Furthermore, the system provides interactive support to users through a virtual planner function. Users can adjust their needs and preferences while conversing with a virtual planner on their device. For example, if a user tells the virtual planner their preferences for specific music or food, the server will immediately make suggestions based on that.

[0661] The server also analyzes communication between users and fairly distributes tasks related to wedding preparations. Tasks assigned to each user are notified via their device, and their progress is monitored. The server has a reminder function and sends notifications via the device as the deadline set by the user approaches.

[0662] In this way, the present invention provides a practical system that reduces the burden on users and allows for efficient wedding preparations. The specific operation of this system enables couples to make important decisions in a shorter amount of time, resulting in a smooth and stress-free wedding preparation process.

[0663] The following describes the processing flow.

[0664] Step 1:

[0665] The server retrieves basic information entered by the user via the terminal and stores it in a database. This basic information includes details about the wedding date, participants, and venue.

[0666] Step 2:

[0667] The user selects a wedding theme using the interface on their device. Once the theme selection is complete, the device sends it to the server.

[0668] Step 3:

[0669] The server analyzes the received theme information and uses image generation AI to automatically generate visual content (e.g., decoration ideas or invitation designs). The generated content reflects the user's preferences.

[0670] Step 4:

[0671] The server sends the generated content to the device and prompts the user for visual confirmation. The user can review the design on the device and provide feedback.

[0672] Step 5:

[0673] When a user submits feedback, the device sends that information to a server. The server analyzes the feedback, regenerates the content if necessary, and presents the revised version to the device again.

[0674] Step 6:

[0675] Users access the virtual planner function through their device and consult on their plans in an interactive manner. The server analyzes this conversation and presents revised plan suggestions in real time.

[0676] Step 7:

[0677] The server lists tasks based on the communication history between users and distributes them fairly using an appropriate algorithm. Each user is notified of their assigned task via their terminal.

[0678] Step 8:

[0679] The server continuously monitors task progress and sends reminders to the user's device according to the deadline set by the user. This feature allows users to complete their work without falling behind.

[0680] (Example 1)

[0681] 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".

[0682] Wedding preparations are complex and multifaceted, requiring efficient management of coordination among participants and numerous tasks. Furthermore, meeting the diverse needs of participants within a limited timeframe demands meticulous customization and rapid decision-making. Traditional methods struggle to meet these needs, necessitating a reduction in stress during the preparation process and ensuring a smoother flow.

[0683] 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.

[0684] In this invention, the server includes means for acquiring the user's basic information and storing it in an information storage device, means for generating visual content using a generation AI model based on a theme selected by the user, and means for presenting the generated content on the user's display device and receiving feedback. This enables efficient management of wedding preparations and customization to meet specific needs.

[0685] "User basic information" refers to data related to a specific user, such as the schedule, number of participants, and theme needed for wedding preparations.

[0686] "Information storage device" refers to digital storage media or databases used to store acquired data.

[0687] A "generative AI model" refers to an artificial intelligence system that generates new visual content and designs based on learned data.

[0688] "Visual content" refers to material presented to users as visual representations such as images and designs.

[0689] "User display device" refers to a device such as a screen or monitor that allows the user to visually confirm the generated content.

[0690] "Ratings" refer to feedback and comments received from users, which are used to improve design and content.

[0691] "Coordination among participants" refers to the process of aligning opinions and intentions among multiple users and stakeholders involved in the wedding ceremony.

[0692] "Customization" refers to changing or adjusting the content according to the individual user's needs and requests.

[0693] This invention is a system for efficiently carrying out wedding preparations. This system utilizes a generative AI model to manage various tasks while supporting communication between users. A specific embodiment of this system is described below.

[0694] The server retrieves the user's basic information, such as the wedding date, number of participants, and theme, and stores it in an information storage device. This aggregates the fundamental data necessary for setting up the wedding, making it available for subsequent processes.

[0695] The generative AI model is used by the server to generate visual content based on a theme selected by the user. Specifically, it learns existing design patterns to generate decorative ideas and invitation designs. This visual content is presented on the user's display device, allowing the user to review the design and provide feedback.

[0696] For example, if a user sends a prompt to the server such as, "Suggest an elegant invitation design with a classic theme," the AI ​​model will generate appropriate design suggestions based on this prompt. These generated designs are then presented through the device, and user feedback is accepted from there.

[0697] When the server receives user feedback, it analyzes the content and regenerates the design if necessary. This allows for more accurate customization to meet user requests.

[0698] Furthermore, the server analyzes user interactions and has the function of fairly distributing tasks. The progress of tasks assigned to each user is monitored, and when the deadline for a task approaches, a reminder is sent to the user's display device.

[0699] This system's workflow allows users to smoothly proceed with wedding preparations and quickly bring their customized plans to life. Throughout this entire process, the server utilizes a generative AI model to provide optimal content and support based on prompts.

[0700] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0701] Step 1:

[0702] The server receives basic wedding information from the user. This information includes the wedding date, number of participants, and theme. The entered information is stored as data in the information storage device. This allows for wedding preparations tailored to the user's needs. For example, if the user enters "June 1, 2024, 100 participants, theme: garden," the server will save this data.

[0703] Step 2:

[0704] The server sends prompts to a generative AI model based on the theme selected by the user, and generates visual content. This process utilizes a generative AI model that has learned from many existing designs, outputting decorative ideas and invitation designs that match the user's theme. For example, it will generate designs in response to a request such as "Suggest a natural invitation design with a garden theme."

[0705] Step 3:

[0706] The device displays visual content provided by the server to the user. The user can review the design and provide feedback through the interface on the device. Specifically, the user might provide feedback such as, "The design is great, but I'd like the colors to be brighter."

[0707] Step 4:

[0708] Upon receiving user feedback, the server analyzes it and, if necessary, reuses the generation AI model to regenerate the design. This regeneration process outputs content that better matches the user's requests. Based on the input feedback, a new design, "Bright-toned Garden Theme Invitation," is generated.

[0709] Step 5:

[0710] The server monitors user interactions and distributes tasks fairly based on that. To monitor the progress of tasks assigned to each user, the server periodically checks and sends reminders to their devices. For example, it might set a task like "Complete final confirmation of invitations by next week" and send a notification as the deadline approaches.

[0711] (Application Example 1)

[0712] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0713] Wedding preparations are a complex process involving many elements, and the time and stress involved are significant problems. Furthermore, communication and task sharing among participants with differing opinions can be challenging. Additionally, a lack of expertise makes it difficult to find the right ideas to realize the desired wedding.

[0714] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0715] In this invention, the server includes means for acquiring the user's basic information and storing it in a data storage unit, means for generating visual content using a generation AI based on a theme selected by the user, and means for presenting the visual content on an information display device and receiving feedback. This enables the user to proceed smoothly with wedding preparations.

[0716] "User basic information" refers to initial data about the user, such as schedule, number of participants, and theme.

[0717] The "data storage unit" is a storage device or database used to store the user's basic information.

[0718] "Theme" is a concept that indicates the theme or style of the wedding chosen by the user.

[0719] "Generative AI" is an artificial intelligence technology that automatically generates content according to user requests.

[0720] "Visual content" refers to visual materials such as decorative ideas and invitation designs created by generational AI.

[0721] An "information display device" is a terminal used by users to view visual content suggested by AI-generated content and to input feedback.

[0722] "Feedback" refers to the opinions and requests that users provide regarding the generated visual content.

[0723] "Regeneration" is the process of recreating visual content based on newly received feedback.

[0724] "Communication" refers to conversational behavior involving the exchange of information and sharing of opinions among users.

[0725] "Tasks" refer to the specific tasks and activities involved in wedding preparations.

[0726] "Distribution" refers to the act of fairly assigning tasks to each user.

[0727] "Monitoring" is the process of continuously checking the progress of a task.

[0728] A "notification" is a message or alert that informs an information display device about the progress of a task.

[0729] A "consumer robot" is an automated device designed to assist in human life within the home.

[0730] "Virtual support function" refers to a software feature that assists users with wedding preparations through interaction.

[0731] A system for carrying out this invention includes, as its main components, a server, an information display device, and a consumer robot.

[0732] The server first collects the user's basic information and stores it in a data storage unit. This information includes the wedding date, the number of participants, and the desired theme. The server then uses generative AI to generate visual content based on the theme selected by the user. For example, the OpenAI API could be used as the generative AI model. This model learns from a vast amount of existing design data and uses it to generate new decorations and invitation designs. The generated content is then presented to the user through an information display device.

[0733] Users can view the presented content and provide feedback using an information display device. This information display device may include a tablet or smartphone. When a user enters feedback, the server analyzes the content and regenerates the visual content as needed. This enables the provision of optimal suggestions that better match the user's opinions.

[0734] Furthermore, consumer robots are equipped with virtual assistance functions, through which they interact with users. The robots use speech recognition software (e.g., Google Cloud Speech-to-Text) to understand user instructions and request appropriate suggestions from the server. An example of a prompt that might be generated is, "The user is planning a spring-themed wedding. Please generate garden party decoration ideas and invitation designs."

[0735] Ultimately, the server distributes tasks fairly among users and also monitors their progress. This allows users to manage their wedding preparations efficiently and with less burden throughout the entire process.

[0736] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0737] Step 1:

[0738] The server retrieves basic information from the user and stores it in the data storage unit. Inputs include the user's schedule, number of participants, and theme, while output is the storage of this information in the database. At this stage, the server accurately stores the necessary data to form the user's profile.

[0739] Step 2:

[0740] The user selects their desired wedding theme through the device. The input is the theme selected by the user, and the output is the generation of prompts based on that theme. In this step, the criteria for the content to be generated in the next step are determined according to the user's preferences.

[0741] Step 3:

[0742] The server uses a generative AI model to generate visual content based on a selected theme. The input is the prompt "The user is planning a spring-themed wedding...", and the output is generated decoration ideas and invitation designs. In this process, the AI ​​model creates new content based on the data it has learned.

[0743] Step 4:

[0744] The generated visual content is presented to the device for the user to review. The input is the visual content from the server, and the output is the user's feedback. In this step, the user reviews the actual content and determines whether it meets their needs.

[0745] Step 5:

[0746] The user inputs feedback on visual content into the device. The input is the content of the feedback, and the output is the transmission of that feedback to the server. At this stage, the user's opinion is reflected in the system.

[0747] Step 6:

[0748] The server analyzes the feedback and regenerates the visual content as needed. The input is user feedback, and the output is improved new visual content. Based on the feedback, the server reapplies the AI ​​model to generate more appropriate content.

[0749] Step 7:

[0750] The generated re-content is presented to the device again for the user to confirm. The input is the improved visual content, and the output is the user's final confirmation. This ensures that the user ultimately obtains the content they desired.

[0751] Step 8:

[0752] The server fairly distributes tasks among users, monitors their progress, and sends notifications to terminals. Inputs are user lists and data related to each user's role, while output is notification information. This step provides the necessary support for users to efficiently manage and complete tasks in a timely manner.

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

[0754] This invention relates to a wedding preparation support system incorporating an emotion engine. It can analyze the user's emotional state in real time and provide more personalized suggestions. An embodiment of this system is described in detail below.

[0755] First, the server retrieves the user's basic information via the terminal and stores it in a database. This information includes details such as the wedding date, venue, and number of attendees. The user also selects a wedding theme using the interface on the terminal. This theme information is then sent to the server.

[0756] The server automatically generates visual content (such as decorative ideas or invitation designs) using image generation AI based on the selected theme and user preferences. The generated content is sent to the user's device, where it awaits review and feedback. The user reviews the design on their device and provides feedback as needed.

[0757] When feedback is provided, the server analyzes its content, regenerates it as needed, and re-presents it to the user's device. At this point, the emotion engine activates, determining the user's emotional state from user input information and data acquired from sensors such as the device's camera and microphone. This emotional information is incorporated into the feedback analysis process and used to determine the content to be generated and how it is presented.

[0758] Furthermore, users can use the virtual planner function to adjust their wedding plans through interactive conversations with the system. During this process, the emotion engine analyzes the emotions associated with the user's speech and text input, and the virtual planner provides suggestions optimized for the user's emotions. For example, if the user is feeling stressed, it will offer suggestions and support plans to help them relax.

[0759] Furthermore, the server analyzes user communication and fairly distributes tasks based on information obtained from the emotion engine. Tasks are notified to users via their devices, and their progress is monitored. The server sends timely reminders to help users complete tasks on time. It is also possible to adjust tasks that are burdening users based on emotion data.

[0760] Thus, the present invention provides a more comfortable and convenient wedding preparation process for users through a wedding preparation support system using an emotion engine. This system allows users to have a personalized experience in every aspect of wedding preparation, reducing the stress of planning.

[0761] The following describes the processing flow.

[0762] Step 1:

[0763] The user enters basic information via the device and selects a wedding theme. The device then sends this information to the server.

[0764] Step 2:

[0765] The server checks the basic information stored in the database, instructs the image generation AI based on the user's theme, and generates content (decorative ideas and invitation designs).

[0766] Step 3:

[0767] The server sends the generated content to the device and presents it to the user. The user uses the device to view the content and provides reactions via the camera and microphone for analysis by the emotion engine.

[0768] Step 4:

[0769] The emotion engine analyzes the user's reaction data and determines their emotional state. This information is then sent to the server.

[0770] Step 5:

[0771] Users input their opinions on the content through feedback on their devices and send them to the server.

[0772] Step 6:

[0773] The server analyzes the feedback and the user's emotional state, and regenerates the content as needed. The regenerated content is then presented to the user again.

[0774] Step 7:

[0775] Users access the virtual planner function and consult with the server about wedding plans through interactive dialogue. The emotion engine analyzes the user's emotions in real time during the dialogue, and the server makes appropriate suggestions based on that information.

[0776] Step 8:

[0777] The server fairly distributes the tasks necessary for wedding preparations based on the communication history and emotional data between users, and notifies them via their devices.

[0778] Step 9:

[0779] The server monitors progress and sends timely reminders to users. It also takes emotional data into consideration and reassigns or adjusts tasks that are causing burdens.

[0780] (Example 2)

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

[0782] Traditional wedding planning often presented challenges in creating optimal plans tailored to users' emotional states and individual preferences, frequently leading to stress. Furthermore, inadequate task management could result in unfair workload distribution among users. There was a need to address these issues and provide a more personalized wedding planning experience.

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

[0784] In this invention, the server includes means for collecting basic user information and storing it in information storage, means for generating visual data using a generation algorithm based on a theme selected by the user, and means for determining the user's state using an emotion analysis engine. This enables planning optimized for the user's individual preferences and emotional state, and the provision of visually appealing content.

[0785] "User basic information" refers to fundamental information related to wedding preparations, such as the individual's name, contact information, event date, venue, and expected number of attendees.

[0786] "Information storage" refers to a system or medium that holds data and allows it to be retrieved as needed.

[0787] A "generative algorithm" refers to a set of procedures or processes for automatically generating visual or other content based on a specified theme or user preferences.

[0788] "Visual data" refers to materials that provide users with visual information, such as images, videos, and graphics.

[0789] An "emotion analysis engine" refers to a software or hardware system that analyzes and determines a user's emotional state based on sensor data and input content.

[0790] An "information terminal" refers to an electronic device that a user directly operates to input and output information.

[0791] "Communication data" refers to a collection of information sent and received between users or systems.

[0792] "Workload" refers to the set of tasks or workload that a user must complete within a specific period.

[0793] A "reminder" refers to a message or alert used to notify a user that a specific task or event should be carried out at a scheduled time.

[0794] This invention provides a system for efficiently and personally preparing for a wedding, combining an emotion analysis engine with a visual content generation function. The system primarily operates using a server, terminals, and a generative AI model.

[0795] The server receives basic information provided by the user via the terminal and stores it in its information storage. This information includes fundamental data such as the wedding date, venue, and number of attendees. The user can use the terminal to select a wedding theme on the interface. A specific example of a theme is "beach wedding." The selected theme information is then sent to the server.

[0796] The server utilizes a generation algorithm to generate visual data based on the selected theme and user preferences. This involves a generation AI model, and an example prompt might be, "Generate decoration ideas for a beach wedding theme." Using this prompt, the generation AI model generates images and graphics to create visual content.

[0797] The generated visual data is sent from the server to the device, where the user reviews it. The user can review the design and provide feedback. Once feedback is received, the server regenerates the visual data as needed based on that feedback and presents it again to the device.

[0798] Furthermore, an emotion analysis engine is operated by a server and analyzes data obtained from the device's sensors to determine the user's emotional state. This emotional information is reflected in the adjustment of generated content and the way suggestions are made to the user. For example, if it is determined that the user is particularly stressed, plans and suggestions that contribute to relaxation will be presented.

[0799] In this way, the present invention aims to reduce stress during wedding preparations by enabling flexible planning and content generation that responds to the user's emotional state and individual needs.

[0800] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0801] Step 1:

[0802] The server receives basic information entered by the user via a terminal. Specifically, the user enters information such as the wedding date, venue, and number of attendees into the terminal's interface. The terminal aggregates this information and sends it to the server. The server stores the received information in its information storage. This stored information is then used in subsequent processes.

[0803] Step 2:

[0804] The user selects a wedding theme on their device. For example, they can choose a theme such as "Classic Wedding." The selected theme information is sent from the device to the server. The server applies a generation algorithm based on the received theme information and provides an appropriate prompt message (e.g., "Generate decoration ideas for a classic wedding theme") to the AI ​​model.

[0805] Step 3:

[0806] The server generates visual data using a generative AI model. Inputs include prompts provided by the server and pre-stored user information related to themes. The generative AI model creates images and graphics content based on these inputs. The output of this process is sent to the terminal as visually engaging content.

[0807] Step 4:

[0808] Users view visual data provided by the server on their devices and provide feedback as needed. For example, a user might input feedback through their device, such as "the design should be a bit more colorful." This feedback is then sent back to the server.

[0809] Step 5:

[0810] The server analyzes user feedback. The input is user feedback information, which is then analyzed, and the generation algorithm is executed again. The regenerated visual data is then presented again from the server to the user's terminal. At this stage, the server simultaneously determines the user's emotional state using an emotion analysis engine, and adjustments are made based on the results.

[0811] Step 6:

[0812] Based on the user's emotional state, the server further optimizes the presentation and content of the generated material. Specifically, if the analysis indicates the user is experiencing stress, it adds designs and suggestions that promote relaxation. The goal is to deliver the service in the most appropriate way for the user.

[0813] (Application Example 2)

[0814] 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".

[0815] There is a need to reduce the burden of wedding preparations and provide personalized support based on the user's emotions. In particular, a challenge is that suggestions and progress management that take the user's emotional state into account are not being adequately implemented.

[0816] 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.

[0817] In this invention, the server includes means for acquiring basic user data and storing it in an information management device, means for generating visual data using content generation artificial intelligence based on a theme selected by the user, and means for determining the user's emotional state using an emotion analysis device and integrating that information into the entire system to provide optimized suggestions. This makes it possible to provide optimal support for wedding preparations tailored to the user's emotions.

[0818] "User basic data" refers to data such as the user's personal information, preferences, desired dates, and themes, which are necessary for wedding preparations.

[0819] An "information management device" is a database or server used to store and manage user basic data, generated content, feedback information, and other similar information.

[0820] "Content-generating artificial intelligence" is artificial intelligence that automatically generates visual data and decorative ideas based on themes and preferences selected by the user.

[0821] "Visual data" refers to information in a format that users can visually review, such as wedding decoration ideas or invitation designs.

[0822] An "information terminal" is a communication device or computer used by users to exchange content and feedback.

[0823] An "emotion analysis device" is a device that uses sensors and artificial intelligence to identify emotions in order to analyze a user's emotional state in real time.

[0824] The "virtual assistant function" is a software feature that provides suggestions and support regarding wedding preparations through interaction with the user.

[0825] The system for realizing this invention features advanced functions to assist users in their wedding preparations. Specifically, it includes an information management device, content generation artificial intelligence, emotion analysis device, and virtual assistant function. This system personalizes wedding preparations and provides users with optimal support.

[0826] First, the server acquires basic data from the user via an information terminal and stores it in the information management device. The acquired data includes the user's personal information, wedding date, and preferred theme.

[0827] Next, based on the theme selected by the user, the content-generating artificial intelligence generates visual data. This visual data includes decorative ideas and invitation designs, offering suggestions tailored to the user's preferences. The generated data is presented to the user via an information terminal, and feedback is received. This process is repeated multiple times until the user's opinions are reflected.

[0828] The emotion analysis device uses sensors installed in the information terminal to determine the user's emotional state in real time from their facial expressions and voice. Based on this emotional information, the server makes optimal suggestions tailored to the user's emotions. For example, if the user is feeling stressed, it will provide relaxing guidance to alleviate their tension.

[0829] Users interact with the system through a virtual assistant function to adjust their wedding plans. The server analyzes the user's emotions from their statements and provides optimized suggestions. In this way, users can proceed with wedding preparations more smoothly.

[0830] For example, if a user is considering a "spring" themed wedding, the following prompt can be used to instruct the AI ​​model: "If the user's mood is 'exhilarated,' generate elegant spring-themed wedding decoration ideas." Through this prompt, the AI ​​can create and visualize content that matches the user's wishes.

[0831] Thus, the present invention provides a system that takes into account the user's emotions and supports wedding preparations in a more personalized way. As a result, the user can have a more satisfying experience.

[0832] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0833] Step 1:

[0834] The server acquires basic data through the user's information terminal. This basic data includes the user's personal information, desired wedding date and theme, and other details. The acquired data is stored in the information management device. The input is the user's basic data, and the output is this data stored in the information management device.

[0835] Step 2:

[0836] When a user selects a theme on their information terminal, that theme is sent to the server. The server uses content generation artificial intelligence to generate visual data based on this theme information. The input is the theme information selected by the user, and the output is visual data such as decorative ideas and invitation designs tailored to the user's preferences.

[0837] Step 3:

[0838] Visual data is presented on an information terminal, and the user reviews it and provides feedback. Upon receiving the feedback, the server updates or regenerates the visual data. The input is the user's feedback, and the output is the updated visual data.

[0839] Step 4:

[0840] An emotion analysis device installed in the user's information terminal evaluates the user's emotional state in real time from their facial expressions and voice. The evaluated emotion data is sent to a server. The input is the user's real-time emotion data, and the output is the analyzed emotion information.

[0841] Step 5:

[0842] The server integrates the analyzed emotional information and feedback, and based on this, generates optimized suggestions that are tailored to the user's emotions. It utilizes a generative AI model to create visuals and plans that match the user's feelings. The input is emotional information and feedback, and the output is personalized suggestions.

[0843] Step 6:

[0844] Users interact with the system through a virtual assistant function on an information terminal to adjust wedding plans. The server performs sentiment analysis from the user's speech and text, providing advice and assistance tailored to the user's needs. Input is user speech or text data, and output is optimized assistance content.

[0845] 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.

[0846] 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.

[0847] 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.

[0848] 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.

[0849] 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.

[0850] 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.

[0851] 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.

[0852] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0853] 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."

[0854] 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.

[0855] 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.

[0856] 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.

[0857] 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.

[0858] 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.

[0859] 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.

[0860] 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.

[0861] 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.

[0862] 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.

[0863] 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.

[0864] 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.

[0865] 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.

[0866] The following is further disclosed regarding the embodiments described above.

[0867] (Claim 1)

[0868] A means of obtaining basic user information and saving it to a database,

[0869] A means of generating content using an image generation AI based on a theme selected by the user,

[0870] A means of presenting content to the user's device and receiving feedback,

[0871] A means of regenerating content based on the feedback received and re-presenting it to the user,

[0872] A means of analyzing user communication and fairly distributing tasks,

[0873] A means of monitoring task progress and sending reminders to the user's terminal,

[0874] A system that includes this.

[0875] (Claim 2)

[0876] The system according to claim 1, which uses an image generation AI to generate decorative ideas and invitation designs according to the user's selection.

[0877] (Claim 3)

[0878] The system according to claim 1, comprising a virtual support function that interacts with the user in real time and provides a customized wedding plan.

[0879] "Example 1"

[0880] (Claim 1)

[0881] A means for obtaining the user's basic information and storing it in an information storage device,

[0882] A means of generating visual content using a generation AI model based on a theme selected by the user,

[0883] A means of presenting the generated content to the user's display device and receiving their evaluation,

[0884] A means of regenerating content based on the received evaluation and re-presenting it to the user,

[0885] A means of analyzing user interactions and fairly distributing work,

[0886] A means for monitoring the progress of the work and sending notifications to the user's display device,

[0887] A system that includes this.

[0888] (Claim 2)

[0889] The system according to claim 1, which generates decorative suggestions and invitation designs according to the user's selection using a generative AI model.

[0890] (Claim 3)

[0891] The system according to claim 1, comprising a virtual support function that interacts with users in real time and provides personalized wedding plans.

[0892] "Application Example 1"

[0893] (Claim 1)

[0894] A means of obtaining the user's basic information and storing it in a data storage unit,

[0895] A means of generating visual content using a generative AI based on a subject selected by the user,

[0896] A means of presenting visual content on an information display device and receiving feedback,

[0897] A means of regenerating and re-presenting visual content to the user based on the feedback received,

[0898] Analyzing user-to-user communication and providing a means to distribute tasks fairly,

[0899] A means for monitoring the progress of a task and sending notifications to an information display device,

[0900] A means to be installed in a consumer robot, equipped with a virtual assistance function that interacts with the user and helps with wedding preparations,

[0901] A system that includes this.

[0902] (Claim 2)

[0903] The system according to claim 1, which uses a generation AI to generate decorative ideas and invitation designs according to the user's selection.

[0904] (Claim 3)

[0905] The system according to claim 1, comprising a virtual support function that interacts with users in real time and provides a customized event plan.

[0906] "Example 2 of combining an emotion engine"

[0907] (Claim 1)

[0908] A means of collecting basic user information and storing it in information storage,

[0909] A means for generating visual data using a generation algorithm based on a theme selected by the user,

[0910] A means of displaying the generated visual data on an information terminal and receiving user feedback,

[0911] A means of regenerating visual data based on the received evaluation and re-presenting it on an information terminal,

[0912] A means of analyzing communication data and fairly distributing the workload,

[0913] A means of monitoring the progress of the work and sending reminders to an information terminal,

[0914] A means of determining the user's state using an emotion analysis engine,

[0915] A means of adjusting the generation algorithm and presentation method using the determined emotion information,

[0916] A system that includes this.

[0917] (Claim 2)

[0918] The system according to claim 1, which generates decorative designs and invitation designs based on user selection using a generation algorithm.

[0919] (Claim 3)

[0920] The system according to claim 1, comprising a virtual support function that engages with users in real time and provides individually tailored event plans.

[0921] "Application example 2 when combining with an emotional engine"

[0922] (Claim 1)

[0923] A means for acquiring basic user data and storing it in an information management device,

[0924] A means of generating visual data using content generation artificial intelligence based on a theme selected by the user,

[0925] A means of presenting visual data on an information terminal and receiving feedback,

[0926] A means of regenerating visual data based on the feedback received and re-presenting it to the user,

[0927] A means of analyzing information sharing among users and distributing work fairly,

[0928] A means of monitoring the progress of the work and sending notifications to an information terminal,

[0929] A means of determining the user's emotional state using an emotion analysis device, integrating that information into the entire system, and providing optimized suggestions.

[0930] A means of facilitating smooth communication with users through dialogue and providing customized support based on the user's emotions,

[0931] A system that includes this.

[0932] (Claim 2)

[0933] The system according to claim 1, which uses image generation artificial intelligence to generate decorative ideas and invitation data according to the user's selection.

[0934] (Claim 3)

[0935] The system according to claim 1, comprising a virtual assistant function that engages in real-time conversations with the user and provides a customized wedding plan. [Explanation of symbols]

[0936] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of obtaining basic user information and saving it to a database, A means of generating content using an image generation AI based on a theme selected by the user, A means of presenting content to the user's device and receiving feedback, A means of regenerating content based on the feedback received and re-presenting it to the user, A means of analyzing user communication and fairly distributing tasks, A means of monitoring task progress and sending reminders to the user's terminal, A system that includes this.

2. The system according to claim 1, which uses an image generation AI to generate decorative ideas and invitation designs according to the user's selection.

3. The system according to claim 1, comprising a virtual support function that interacts with the user in real time and provides a customized wedding plan.

Images