System

Abstract

A system is provided.SOLUTION: A system comprising: means for presenting a plurality of options related to a mood when a user opens an application for the first time; means for recording an answer selected from the options by the user and combining the answer with past data of the user; means for generating a corresponding theme based on the answer and the past data; means for displaying the generated theme on a terminal; and means for sharing the theme stored in the terminal with another terminal.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Conventional recommendation systems focus on providing information based on a user's interests and past behavioral history, but rarely address the user's mood or emotions. As a result, they are unable to provide content tailored to the user's emotional state, resulting in limitations on improving user satisfaction and continued use. The purpose of this invention is to solve this problem by providing a system that dynamically generates and provides themes that are in line with the user's mood and emotions. [Means for solving the problem]

[0005] The system of the present invention includes a means for presenting a user with multiple mood-related options when the user first opens an application, a means for recording the user's response from the options and combining the recording with the user's past data, a means for generating a corresponding theme based on the response and the past data, a means for displaying the generated theme on the device, and a means for sharing the themes stored on the device with other devices. The past data may include the user's search history, and the system may also include a means for storing the generated themes on the device and deleting themes that have been in use for a certain period of time. This new system dynamically generates and provides themes based on the user's mood, thereby improving user satisfaction and the rate of continued use.

[0006] "User" means an individual or end user who uses the Application.

[0007] "Application" refers to a particular software program that a user utilizes on a digital device.

[0008] "Choices" refers to multiple options that a user can choose from on a pop-up window.

[0009] An "answer" refers to the option selected by the user from among the choices.

[0010] "Recording" refers to storing the user's response in a storage medium such as a database.

[0011] "Historical data" refers to a user's past search history and other activity data.

[0012] "Generate" refers to creating new designs or content based on specific input data.

[0013] A "theme" refers to a design template that changes the look and feel of an application.

[0014] "Displaying" refers to outputting the generated theme on the screen of the user's terminal.

[0015] "Terminal" refers to a digital device (smartphone, tablet, PC, etc.) on which a user uses an application.

[0016] "Saving" refers to maintaining the generated theme in the device's storage device for a certain period of time.

[0017] "Sharing" refers to exchanging the generated theme with other devices or users.

[0018] "Server" refers to a computer system that is located at the back end of an application and performs data processing and management.

[0019] "Interface" refers to the screens and operating means through which a user interacts with an application or system.

[0020] An "API request" refers to a means of communication that allows a device to request specific data or services from a server.

[0021] "Database" refers to a system for structuring and storing user responses and past data.

[0022] A "pop-up" is a temporary window that appears within an application to provide information to the user and prompt for a response. [Brief explanation of the drawings]

[0023] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3]FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0024] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0025] First, the terms used in the following description will be explained.

[0026] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0027] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0028] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0029] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0030] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0031] [First embodiment]

[0032] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0033] 1, a 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.

[0034] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0035] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0036] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the 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.

[0037] 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 of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0038] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0039] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0040] 2, in the data processing device 12, a specific process 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" according to the technology of the present 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 process 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.

[0041] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0042] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0043] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0044] This invention relates to a system that generates themes according to the user's mood and displays them on the device. When the user opens the application, the system displays questions about the user's mood that day and the user answers them. The system combines the user's answers with past data to generate themes, and provides functions to display, save, and share them.

[0045] Program processing

[0046] Pop-up display

[0047] The server generates daily questions and options in advance and stores them in a database. For example, a question about today's mood might be generated as "How are you feeling today?", with four options: "Energetic," "Sad," "Relaxed," and "Busy."

[0048] When the device launches the application, it sends an API request to the server to retrieve the questions and options for the day.

[0049] The terminal displays the acquired questions and options to the user as a pop-up window, through which the user selects their mood for the day.

[0050] Examples:

[0051] When a user opens the application, the device sends a request to the server to retrieve the question and options for the day. The device displays a pop-up asking, "How are you feeling today?" and the user can choose from "Energetic," "Sad," "Relaxed," or "Busy."

[0052] Data collection

[0053] The user selects their mood for the day from options in a pop-up window.

[0054] The device records the user's selection and sends it to the server via an API request.

[0055] The server retrieves the received user selection data and the user's past search history from the database.

[0056] Examples:

[0057] The user selects "Energetic." The device temporarily stores this information and sends it to the server. The server then retrieves data related to sports and outdoor activities that the user has previously searched for.

[0058] Theme Generation

[0059] The server uses the user's answers and past data to generate a theme using a generative AI model. For example, if the user selects "energetic" and their past search history includes sports-related data, it generates a "sports theme with energetic colors."

[0060] The server formats the generated theme data and sends it to the terminal.

[0061] Examples:

[0062] The server runs a generative AI model based on the user's response of "energetic" and their past search history to generate a "sports theme with energetic colors." The generated theme is then sent to the device.

[0063] Theme display

[0064] The terminal receives the theme data sent from the server and stores it in a local database.

[0065] Your device will display the new theme on the theme list screen.

[0066] The user checks the displayed themes and selects one to use.

[0067] Examples:

[0068] The device receives the new theme and stores it in the local database. The theme list screen is updated to show the new theme. The user can then select the theme to use.

[0069] Save / Share

[0070] If a user saves a particular theme as a favorite, the device will store up to 10 of those themes in a local database. If there are more than 10, the oldest theme will be deleted.

[0071] When a user shares a theme with another device, the device generates a QR code using a QR code generation library.

[0072] Your device will display a generated QR code that you can scan on other devices to share the theme.

[0073] Examples:

[0074] The user saves a specific theme as a favorite. If 10 themes are already saved, the oldest theme will be deleted. When the user presses the "Share" button, the device generates a QR code and displays it on the screen. Another device can scan the QR code to obtain the theme.

[0075] The system of the present invention generates themes that correspond to the user's mood, and by displaying, saving, and sharing these themes, it is possible to improve user satisfaction and the rate of continued use.

[0076] The processing flow will be explained below.

[0077] Step 1:

[0078] The server generates daily questions and options and stores them in a database. For example, the question "How are you feeling today?" can be asked with options "Energetic," "Sad," "Relaxed," and "Busy."

[0079] Step 2:

[0080] When the device launches the application, it sends an API request to the server to retrieve the question and options for the day.

[0081] Step 3:

[0082] The terminal displays a pop-up window to the user with the retrieved question and options.

[0083] Step 4:

[0084] The user selects the option that best describes the mood of the day in the pop-up window, for example, "feeling good."

[0085] Step 5:

[0086] The device records the user's selection in a local database and sends it to the server as an API request.

[0087] Step 6:

[0088] The server receives the user's response and retrieves the user's past search history and interest data from a database.

[0089] Step 7:

[0090] The server combines the user's answer with past data and passes it to the generative AI model as input. For example, the answer "I'm fine" and sports-related search history are input to the model.

[0091] Step 8:

[0092] Based on the input data, the generative AI model generates themes that match the user's mood, for example, a sports theme with vibrant colors.

[0093] Step 9:

[0094] The server formats the generated theme into a data format (e.g., JSON) and sends it to the device.

[0095] Step 10:

[0096] The terminal receives the theme data sent from the server and stores it in a local database.

[0097] Step 11:

[0098] The device will display the new theme on the theme list screen, allowing the user to view, select, and use the theme.

[0099] Step 12:

[0100] A user presses the "Favorites" button to save a particular theme as a favorite.

[0101] Step 13:

[0102] The device will store up to 10 themes in a local database, and will delete the oldest theme if there are more than 10.

[0103] Step 14:

[0104] To share the theme with other devices, the user presses the "Share" button.

[0105] Step 15:

[0106] The device uses a QR code generation library to convert the data for the selected theme and generate a QR code.

[0107] Step 16:

[0108] The device will display the generated QR code, allowing other devices to scan the QR code and share the theme.

[0109] Example 1

[0110] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0111] Conventional theme generation systems have difficulty generating personalized themes based on a user's mood and past history, and there are limited ways to easily share those themes. This raises concerns about a decline in user satisfaction and continued use. Furthermore, insufficient theme storage and management can lead to problems such as a decline in system performance due to an excess of stored themes.

[0112] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0113] In this invention, the server includes means for presenting a plurality of mood-related options to a user when the user first opens the application, means for recording an answer selected by the user from the options and combining the answer with the user's past data, means for generating a corresponding theme based on the answer and the past data, means for displaying the generated theme on the terminal, means for saving the theme in a database of the terminal and displaying it in a list, and means for sharing the themes saved on the terminal with other terminals. This allows for the generation of an appropriate theme based on the user's mood and past history, facilitating the saving and sharing of themes, and improving user satisfaction and the rate of continued use.

[0114] "User" refers to a person who uses the System or an end user.

[0115] "Terminal" refers to a device or computer that is directly operated by a user, such as a smartphone, tablet, or PC.

[0116] A "server" refers to a computer system that processes requests from user terminals and generates, stores, and transmits data.

[0117] "Application" refers to a software program that a user uses through a terminal.

[0118] The "options" refer to a plurality of possible answers presented to the user, and are used to select the user's mood or situation.

[0119] An "answer" refers to information selected by the user from among the options.

[0120] "Past data" refers to data and history information that the user has used in the past, including search history and past selection information.

[0121] "Themes" refer to designs and customized content generated based on the user's mood and past data.

[0122] A "database" refers to a system that systematically organizes, stores, and manages data.

[0123] An "API request" refers to a data request sent from a terminal to a server, and includes a protocol for accessing a specific endpoint.

[0124] A "generative AI model" is a model that generates data using artificial intelligence algorithms, including machine learning and natural language processing technologies.

[0125] A "QR code" is a means of visually encoding information using a rectangular, two-dimensional barcode that can be scanned by other devices to share data.

[0126] A "prompt" refers to the initial input data or instructions given to a generative AI model, and includes text to guide the output.

[0127] This invention relates to a system that generates themes according to the user's mood and displays, saves, and shares them. When the user opens the application, the system displays questions about the user's mood that day and the user answers them. The system generates themes by combining the user's answers with past data and provides functions to display, save, and share them.

[0128] First, the server generates daily questions and options and stores them in a database. An example question is "How are you feeling today?", with options including "Energetic," "Sad," "Relaxed," and "Busy." This generated data can be retrieved by the device through an API request. Specifically, when the device starts the application, it sends an HTTPS request to the server to retrieve the question and options.

[0129] When a user opens the application, the device displays a pop-up containing questions and options retrieved from the server. The user interface is generated using Swift for iOS and Java for Android. When the user selects their mood for the day from the options, the device temporarily stores that information and sends it to the server. For example, if the user selects "Energetic," the data is sent to the server in JSON format.

[0130] The server receives the user's selection data and retrieves the user's past search history from a database. The search history is retrieved using an SQL query. The server then generates a theme using a generative AI model based on the user's answers and past data. An example of a generative AI model that could be used is OpenAI's GPT-3. Prompts include, "If the user selects the mood 'Energetic' and there is past sports-related data, generate a 'Sports Theme with Energetic Colors'."

[0131] The generated theme is formatted in JSON format and sent to the device. The device saves the received theme in a local database and updates the theme list screen to display the new theme. The user can then view, select, and use the new theme. This provides personalized themes that match the user's individual mood and past history.

[0132] Furthermore, if a user wants to save a theme as a favorite, up to 10 of those themes will be saved in the device's database. If 10 themes are already saved, the oldest theme will be automatically deleted. Also, if a user wants to share a theme with another device, the device will generate a QR code using a QR code generation library (e.g., ZXing). The generated QR code will be displayed on the device, and another device can scan this QR code to obtain the theme.

[0133] This allows the system of the present invention to generate themes that match the user's mood, and by displaying, saving, and sharing these themes, it is possible to improve user satisfaction and the rate of continued use.

[0134] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0135] Specific processing steps of the system program

[0136] Step 1: Create and save questions and options

[0137] The server runs an automated script at a set time each day to generate the questions and options for that day and store them in a database.

[0138] Input: Generator and choice data

[0139] Data processing: Generate choice data randomly or using a specific algorithm and add choices

[0140] Output: The new question and options are saved in the database.

[0141] Step 2: Get the questions and options

[0142] When the application is launched, the device sends an API request to the server to retrieve the question and options for the day.

[0143] Input: Application launch event

[0144] Data processing: Sending an API request to a server endpoint

[0145] Output: Question and choice data returned to terminal

[0146] Step 3: Show the popup

[0147] The terminal displays the acquired questions and options to the user in a pop-up format.

[0148] Input: Question and choice data from the server

[0149] Data processing: Pop-up UI generation

[0150] Output: The user is presented with a popup with the question and options.

[0151] Step 4: Getting and submitting user answers

[0152] The user selects their mood for the day from the options displayed, and the device sends that data to the server via an API.

[0153] Input: User selected data

[0154] Data processing: Convert selected data to JSON format and send it

[0155] Output: User selections sent to the server

[0156] Step 5: Retrieving User Data

[0157] The server retrieves the user's past search history from the database based on the received user selection data and past data.

[0158] Input: User selected data

[0159] Data processing: Retrieving past data using SQL queries

[0160] Output: Obtained past search history data

[0161] Step 6: Generate the Theme

[0162] The server uses a generative AI model to generate themes based on user responses and historical data.

[0163] Input: User response data and past search history data

[0164] Data processing: Theme generation using generative AI models (e.g., GPT-3)

[0165] Output: Generated theme data

[0166] Step 7: Format and submit your theme

[0167] The server formats the generated theme data and sends it to the terminal.

[0168] Input: Generated theme data

[0169] Data processing: Converting theme data to JSON format

[0170] Output: Formatted theme data is sent to the device

[0171] Step 8: Saving and Viewing the Theme

[0172] The device stores the received theme in a local database and displays it on the theme list screen.

[0173] Input: Received theme data

[0174] Data processing: saving to local database and updating UI

[0175] Output: The new theme will be displayed on the list screen.

[0176] Step 9: Select and Apply a Theme

[0177] The user selects and uses a theme from the list screen.

[0178] Input: User selection information

[0179] Data processing: Applying selected themes

[0180] Output: The selected theme is applied to the device.

[0181] Step 10: Saving and Deleting Themes

[0182] Users can save specific themes as favorites, and the device will save up to 10 favorites and delete old themes.

[0183] Input: Theme data the user wants to save

[0184] Data processing: Save to local database, delete old data when a certain number is exceeded

[0185] Output: The theme is saved and the old theme is deleted.

[0186] Step 11: Share your theme

[0187] When a user shares a theme with another device, the device generates and displays a QR code using a QR code generation library.

[0188] Input: User's sharing request

[0189] Data processing: Encoding theme data into QR code

[0190] Output: The generated QR code is displayed on the device.

[0191] (Application example 1)

[0192] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0193] Current applications, such as electronic payment services, do not generate themes that match the user's mood or past usage history, which prevents an improved user experience. Furthermore, the cumbersome task of configuring individual settings for the application discourages users from continuing to use the application. Furthermore, there is no way for users to easily share themes that match their mood with other users.

[0194] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0195] In this invention, the server includes means for presenting a plurality of mood-related options to a user when the user first opens the application, means for recording an answer selected by the user from the options and combining the answer with the user's past data, means for generating a corresponding theme using a generative artificial intelligence model based on the answer and the past data, means for displaying the generated theme on the terminal, and means for sharing the theme stored on the terminal with other terminals together with a prompt text. This allows for easy generation and sharing of themes according to the user's mood, improving the user experience and promoting continued use of the application.

[0196] "Multiple mood choices" refers to multiple options presented to a user for selecting their current mood.

[0197] "User's past data" refers to information about the user's behavior, such as the user's past usage history and search history.

[0198] "Generative artificial intelligence models" refer to algorithms or models used to generate new data or information using machine learning or deep learning.

[0199] A "theme" refers to settings for changing the design, layout, color usage, etc. of an application's user interface.

[0200] A "prompt" refers to an instruction or question displayed to the user to prompt them to input or respond.

[0201] "Device" refers to an electronic device such as a smartphone or tablet on which an application is installed.

[0202] This invention relates to a system that generates themes according to the user's mood and displays, saves, and shares them on the device. This system works by displaying questions about the user's mood for the day when the user opens the application, and the user answers the questions. Details are described below.

[0203] System Configuration

[0204] The system consists of a server, devices (such as smartphones), and users. The server provides an API using Python and Flask, and the database is managed using PostgreSQL with SQLAlchemy. TensorFlow is used for the generative AI model. Client apps are implemented using Kotlin for Android and Swift for iOS.

[0205] Program processing description

[0206] 1. Pop-up display

[0207] When a user launches the application, the device sends an API request to the server to obtain a question and options about the user's mood for the day. The obtained question and options are displayed to the user in a pop-up window. For example, in response to the question "How are you feeling today?", the user can choose from "Energetic," "Sad," "Relaxed," and "Busy."

[0208] 2. Data Collection

[0209] The user selects their mood for the day in a pop-up window. The device temporarily stores this selection data and sends it to the server via API. The server then retrieves the received selection data and past usage history (e.g., search history).

[0210] 3. Theme generation

[0211] The server uses a generative AI model to generate a theme based on the user's selection and past data. For example, if the user selects "Energetic" and there are many colorful themes in the past history, a colorful theme with energetic colors will be generated. The generated theme data is formatted and sent to the device.

[0212] 4. Theme display

[0213] The device receives the theme data sent from the server and stores it in a local database. The new theme is then displayed on the theme list screen. The user can select a theme to apply.

[0214] 5. Save / Share

[0215] Themes can be saved as favorites, and up to 10 themes are stored in a local database. If there are more than 10, the oldest theme will be deleted. The device can also generate QR codes using a QR code generation library to share themes with other devices.

[0216] Specific examples

[0217] When a user opens the application, the device sends a request to the server to get the question "How are you feeling today?" and the options ("Energetic," "Sad," "Relaxed," "Busy"). If the user selects "Energetic," the server generates a "colorful theme with energetic colors" based on this and sends it to the device. The user can then apply the new theme and enjoy the appearance of the application that matches their mood.

[0218] Also, when a user shares this theme with another device, the device generates a QR code, which the other device can simply scan to obtain the theme.

[0219] Using this system, users can easily create, apply, and share themes that suit their daily mood, greatly improving the application experience.

[0220] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0221] Step 1:

[0222] The server generates a question and options (prompt) about the mood of the day and saves them in a database. The server provides the question "How are you feeling today?" with options "Energetic," "Sad," "Relaxed," and "Busy." The input is the server's scheduled task, and the output is the prompt saved in the database.

[0223] Step 2:

[0224] When a user launches the application, the device sends an API request to the server to retrieve the question and options for the day. The device then sends a request to the server, which retrieves the prompt for the day from the database and returns it to the device. The input is the API request to the server, and the output is the question and options for the day.

[0225] Step 3:

[0226] The terminal displays the acquired question and options to the user as a pop-up window. Specifically, the terminal displays the question "How are you feeling today?" and the options "Energetic," "Sad," "Relaxed," and "Busy" on the screen. The input is a prompt from the server, and the output is a pop-up window.

[0227] Step 4:

[0228] The user selects their mood for the day in a popup window. The user taps an option such as "Energetic." The input is the user's selection, and the output is the selected mood.

[0229] Step 5:

[0230] The device temporarily stores the user's selection data and sends it to the server via an API request. The device temporarily stores the selection data in memory and sends it to the server via API. The input is the user's selection data and the output is an API request to the server.

[0231] Step 6:

[0232] The server retrieves the received selection data and the user's past data from the database. The server uses the user's ID as a key to read past search history and other data from the database. The input is the user's selection data, and the output is past data.

[0233] Step 7:

[0234] The server uses a generative AI model to generate themes based on the user's mood and past data. The server uses TensorFlow to run the generative AI model and generate the corresponding theme. The input is the user's mood and past data, and the output is the generated theme data.

[0235] Step 8:

[0236] The generated theme data is sent to the device. The server sends the generated theme data to the device as an API response. The input is the generated theme data, and the output is the API response to the device.

[0237] Step 9:

[0238] The terminal receives new theme data and saves it in the local database. The terminal writes the received theme data to the local storage. The input is theme data from the server, and the output is the saved data in the local database.

[0239] Step 10:

[0240] The device displays the generated theme on the Kisekae list screen. The device displays a preview of the new theme on the Kisekae list screen. The input is theme data from the local database, and the output is the Kisekae list screen.

[0241] Step 11:

[0242] The user selects and applies a displayed theme. The user taps on the theme and presses the apply button. The input is the user's theme selection, and the output is the applied theme.

[0243] Step 12:

[0244] The device stores up to 10 themes in a local database so that users can save specific themes as favorites. If 10 themes are already stored, the oldest theme is deleted. The input is new theme data, and the output is the updated local database.

[0245] Step 13:

[0246] To share themes with other devices, the device uses a library to generate QR codes. The device converts the user's selected theme data into a QR code. The input is the saved theme data, and the output is the generated QR code.

[0247] Step 14:

[0248] A user displays a QR code on another device, and the other user scans the QR code to obtain the theme. The device displays the QR code on its screen, which is then scanned by the other device's camera. The input is the generated QR code, and the output is the completion of theme sharing.

[0249] In this way, a system that generates and shares themes according to the user's mood improves the user experience and encourages continued use of the application.

[0250] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0251] The present invention provides a system for generating and displaying themes based on a user's mood and emotions. The system includes an emotion engine that recognizes the user's emotions, and utilizes emotion data to generate themes with higher accuracy.

[0252] Program processing

[0253] Pop-up display and emotion recognition

[0254] The server generates daily questions and options and stores them in a database. For example, a question about today's mood might be generated as "How are you feeling today?", with four options: "Energetic," "Sad," "Relaxed," and "Busy."

[0255] When the device launches the application, it sends an API request to the server to retrieve the question and options for the day.

[0256] The device displays the acquired questions and options to the user in a pop-up window, and the emotion engine analyzes the user's facial expressions and voice to acquire emotional data in real time.

[0257] Examples:

[0258] When a user opens the application, the device sends a request to the server to retrieve the question and options for the day. The device displays a pop-up asking, "How are you feeling today?", while the emotion engine analyzes the user's facial expressions and voice to obtain emotional data.

[0259] Data collection

[0260] The user selects their mood for the day from a pop-up window, for example, selecting "Energetic."

[0261] The terminal records the selected mood data and transmits it to the server together with the emotion data obtained from the emotion engine.

[0262] In addition to the mood and emotion data received by the server, the server also obtains the user's past search history and interest data from the database.

[0263] Examples:

[0264] The user selects "Energetic." The device sends this information and the emotion data obtained from the emotion engine to the server. The server then obtains data related to sports and outdoor activities that the user has previously searched for.

[0265] Theme Generation

[0266] The server uses the user's answers, past data, and emotional data to input data into the generative AI model. For example, the answer "I'm fine," sports-related search history, and emotional data such as "joy" detected by the emotion engine are input into the model.

[0267] A generative AI model uses this data to generate themes that match the user's mood and emotion, for example a sports theme with vibrant colors.

[0268] The server formats the generated theme data and sends it to the terminal.

[0269] Examples:

[0270] The server runs a generative AI model based on the user's response of "energetic," past search history, and emotional data of "joy," and generates a "sports theme with energetic colors." The generated theme is then sent to the device.

[0271] Theme display

[0272] The terminal receives the theme data sent from the server and stores it in a local database.

[0273] The device will display the new theme on the theme list screen, allowing the user to view, select, and use the theme.

[0274] Examples:

[0275] The device receives the new theme and stores it in the local database. The theme list screen is updated to show the new theme. The user can then select the theme to use.

[0276] Save / Share

[0277] If a user saves a particular theme as a favorite, the device will store up to 10 of those themes in a local database. If there are more than 10, the oldest theme will be deleted.

[0278] When a user shares a theme with another device, the device generates a QR code using a QR code generation library.

[0279] The device will display the generated QR code, allowing other devices to scan the QR code and share the theme.

[0280] Examples:

[0281] The user saves a specific theme as a favorite. If 10 themes are already saved, the oldest theme will be deleted. When the user presses the "Share" button, the device generates a QR code and displays it on the screen. Another device can scan the QR code to obtain the theme.

[0282] The system of the present invention aims to provide a more personalized experience through theme generation based on the user's mood and emotions, thereby increasing user satisfaction and retention.

[0283] The processing flow will be explained below.

[0284] Step 1:

[0285] The server generates daily questions and options and stores them in a database. For example, the question "How are you feeling today?" is provided with options such as "Energetic," "Sad," "Relaxed," and "Busy."

[0286] Step 2:

[0287] When the device launches the application, it sends an API request to the server to retrieve the question and options for the day.

[0288] Step 3:

[0289] The device displays the acquired questions and options to the user in a pop-up window, and at the same time, an emotion engine is activated, analyzing the user's facial expressions and voice in real time to acquire emotional data.

[0290] Step 4:

[0291] The user selects one option from the popup window that best suits their mood for the day. For example, they select "Energetic."

[0292] Step 5:

[0293] The device records the user's selections and the emotion data obtained from the emotion engine, and sends this data to the server as an API request.

[0294] Step 6:

[0295] In addition to the user's responses and emotional data received by the server, the server also obtains the user's past search history and interest data from the database.

[0296] Step 7:

[0297] The server combines the user's answers, emotional data, and past data and inputs them into the generative AI model. For example, the answer "I'm fine," sports-related search history, and the emotional data of "joy" detected by the emotion engine are provided to the model.

[0298] Step 8:

[0299] A generative AI model uses this data to generate themes that match the user's mood and emotion, such as a sports theme with vibrant colors.

[0300] Step 9:

[0301] The server formats the generated theme into a data format (e.g., JSON) and sends it to the device.

[0302] Step 10:

[0303] The terminal receives the theme data sent from the server and stores it in a local database.

[0304] Step 11:

[0305] The device displays the saved themes on the theme list screen, allowing the user to check and select a theme to use.

[0306] Step 12:

[0307] If the user wishes to save a particular theme as a favorite, he or she presses the "Favorite" button.

[0308] Step 13:

[0309] The device will store up to 10 of these themes in a local database, and will delete the oldest theme if there are more than 10.

[0310] Step 14:

[0311] If the user wants to share the theme with other devices, he presses the "Share" button.

[0312] Step 15:

[0313] The device uses a QR code generation library to convert the data for the selected theme into a QR code.

[0314] Step 16:

[0315] The device will display the generated QR code, allowing other devices to obtain the theme by scanning the QR code.

[0316] Examples:

[0317] When a user opens the application, the device sends a request to the server to retrieve the question and options for the day. The device displays a pop-up asking, "How are you feeling today?" while the emotion engine analyzes the user's facial expressions and voice to obtain emotional data in real time.

[0318] When a user selects "Energetic," the device sends this information and emotional data to the server. The server then runs a generative AI model based on the emotional data, along with past search history, to generate a sports theme with energetic colors. The generated theme is sent to the device and displayed on the theme list screen. If the user saves a specific theme as a favorite, the device can store up to 10 themes and share them with other devices using QR codes.

[0319] Example 2

[0320] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0321] Conventional theme generation systems lack the ability to recognize a user's mood and emotions in real time and provide themes based on those emotions. Furthermore, the generated themes may not match the user's emotions, resulting in a lack of a personalized experience. Furthermore, there are limited ways to share themes between devices, leaving a need for improved user experience.

[0322] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for presenting a plurality of mood-related options when the user first opens the application; means for recording an answer selected by the user from the options and combining it with the user's past data; means for inputting a prompt sentence to a response generation engine based on the answer and the past data; means for displaying a theme generated based on the prompt sentence on the terminal; means including an emotion recognition engine for analyzing the user's facial expressions and voice and acquiring emotion data; and means for sharing the theme stored on the terminal with other terminals. This enables the generation of themes that reflect the user's real-time emotion data, thereby providing a personalized experience and enabling the easy sharing of themes between terminals.

[0323] "User" refers to a person who uses a system or application.

[0324] "Application" refers to software that runs on a terminal and provides services to users.

[0325] "Mood" refers to the emotional or mental state a user is feeling at a particular time.

[0326] "Choices" refers to multiple possible answers presented to the user to respond.

[0327] "Means" refers to a method or device for achieving a particular purpose.

[0328] "Historical Data" refers to information previously generated by a user or recorded by a system.

[0329] "Response Generation Engine" means a model or algorithm for generating themes or other responses based on input data.

[0330] "Prompt sentence" refers to instructions or text used as input to a response generation engine.

[0331] A "theme" refers to settings or designs that change the display attributes of a user's applications or devices.

[0332] "Terminal" refers to an electronic device used by a user, such as a computer, smartphone, or tablet.

[0333] An "emotion recognition engine" refers to a model or algorithm for analyzing emotions from a user's facial expressions and voice and acquiring emotional data.

[0334] "Emotion data" refers to data indicating the emotional state of a user obtained by an emotion recognition engine.

[0335] "Share" refers to the operation of sharing a saved theme with other devices or users.

[0336] The present invention is a system for generating and displaying themes based on a user's mood and emotions. The system includes an emotion engine that recognizes the user's emotions and provides a means for utilizing emotion data to achieve highly accurate theme generation.

[0337] The system uses a server, a terminal, and an emotion recognition engine. Here, we will explain the specific process flow and the hardware and software used.

[0338] First, the server generates daily questions and options and stores them in a database. For example, it provides the question "How are you feeling today?" with options such as "Energetic," "Sad," "Relaxed," and "Busy."

[0339] When the device launches the application, it sends an API request to the server to retrieve the question and options for the day. The device displays the retrieved question and options to the user in a pop-up window. At the same time, the emotion recognition engine analyzes the user's facial expressions and voice to obtain emotional data in real time.

[0340] Next, the user selects their mood for the day from a pop-up window. For example, they select "Energetic." The device records this mood data and sends it to the server along with emotion data obtained from the emotion recognition engine. The server then combines the received mood data with the user's past search history and interest data, including the emotion data.

[0341] Next, the server inputs the prompt sentence into the generative AI model based on the user's answer, past data, and emotional data. For example, the answer "I'm fine," sports-related search history, and emotional data such as "joy" detected by the emotion engine are input into the model. An example of a prompt sentence is as follows:

[0342] Example prompt sentence:

[0343] Generate sports-related themes to suit users who are in a lively mood.

[0344] Based on this data, the generative AI model generates a theme that matches the user's mood and emotion, for example, a "sports theme with lively colors." The server formats the generated theme data and sends it to the device.

[0345] The device receives the theme data sent from the server and saves it in a local database. The device displays the new theme on the theme list screen, allowing the user to check, select, and use the theme.

[0346] Furthermore, if a user saves a specific theme as a favorite, the device will store up to 10 of those themes in a local database. If the number of themes exceeds 10, the oldest theme will be deleted. If a user shares a theme with another device, the device will generate a QR code using the QR code generation library. The device will display the generated QR code, and the other device can scan the QR code to share the theme.

[0347] The system of the present invention aims to provide a more personalized experience through theme generation based on the user's mood and emotions, thereby increasing user satisfaction and retention.

[0348] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0349] Step 1: Generate questions and options

[0350] The server generates daily questions and options and stores them in a database. As input, the server uses a fixed template and a question generation algorithm. For example, it generates the question "How are you feeling today?" and options such as "Energetic", "Sad", "Relaxed" and "Busy". The generated questions and options are stored in a database and added to the list of questions for that day. The output is the generated questions and options.

[0351] Step 2: Sending API requests and getting questions

[0352] When the device launches the application, it sends an API request to the server to retrieve the question and options for that day. As input, the device sends user authentication information and a request ID, and the server retrieves the question and options for that day from the target database and returns them as a response. The output is the retrieved question and options.

[0353] Step 3: Displaying the Pop-up Window and Obtaining Emotion Data

[0354] The device displays the acquired questions and options to the user in a pop-up window. At the same time, the emotion recognition engine analyzes the user's facial expressions and voice to acquire emotional data in real time. The input is a live feed from the camera and microphone, and the emotion recognition engine processes this data to analyze the emotional state. The output is the user's selected mood data and the analyzed emotional data.

[0355] Step 4: Choose your mood

[0356] The user selects their mood for the day from a pop-up window. For example, they select "Energetic." The input is a manually selected option, and the device records this data. The output is the user-selected mood data.

[0357] Step 5: Record and send data

[0358] The device records the selected mood data and sends it to the server along with the emotion data obtained from the emotion recognition engine. The input mood data and emotion data are formatted in JSON format and sent to the server as an HTTP request. The output is the data sent to the server.

[0359] Step 6: Obtaining historical data

[0360] In addition to the mood and emotion data received by the server, it also retrieves the user's past search history and interest data from the database. It executes a query using the user ID as input to retrieve past data. The output is the integrated mood, emotion, and past data.

[0361] Step 7: Generate a prompt statement

[0362] The server inputs the user's answers, past data, and emotional data into the generative AI model as a prompt. For example, it generates a prompt such as, "Generate sports-related topics that suit a user who is in a good mood." The inputs are mood data, past search history, and emotional data, and the output is the generated prompt.

[0363] Step 8: Generate the Theme

[0364] Based on this data, a generative AI model generates themes that match the user's mood and emotions. The input is a prompt sentence, which the AI ​​model parses and generates appropriate themes. The output is the generated theme data.

[0365] Step 9: Format and submit theme data

[0366] The server formats the generated theme data and sends it to the device. It takes the generated theme data as input and converts it into a usable format. The output is the theme data sent to the device.

[0367] Step 10: Receive and store theme data

[0368] The terminal receives the theme data sent from the server and stores it in a local database. The input is the theme data, which is stored in the local database. The output is the stored theme data.

[0369] Step 11: Viewing the Theme

[0370] The device displays the new theme on the theme list screen. The input is the saved theme data, which is reflected in the UI. The output is the new theme displayed on the user's display screen.

[0371] Step 12: Save the Theme

[0372] When a user saves a particular theme as a favorite, the device stores that theme in a local database, up to a maximum of 10 times. The input is a save request, and multiple themes are managed in the local database. The output is the saved theme.

[0373] Step 13: Generate and share a QR code

[0374] When a user shares a theme with another device, the device generates a QR code using a QR code generation library and displays the QR code. The input is the theme data, and the QR code is generated. The output is the generated QR code.

[0375] Step 14: Scan the QR code

[0376] Themes are shared by other devices by scanning the QR code. The input is a QR code scanned with a camera, and the scanned data is interpreted as theme data. The output is the shared theme.

[0377] (Application example 2)

[0378] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0379] Conventional theme generation systems have difficulty in fully reflecting the user's mood and emotions, making it difficult to provide a personalized experience. Furthermore, there are insufficient methods for easily sharing generated themes with other devices. Furthermore, updating themes in real time in response to changes in the user's emotions has also been a challenge.

[0380] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for presenting a plurality of mood-related options to the user when the user first opens the application, means for recording the answer selected by the user from the options and combining the user's past data and emotional data, means for generating a corresponding theme using a generative AI model based on the answer, the past data, and the emotional data, means for displaying the generated theme on the terminal, and means for generating a QR code for sharing the theme stored on the terminal with other terminals. This enables the generation and immediate updating of personalized themes that reflect the user's moods and emotions in real time, and also makes it easy to share themes.

[0381] "User" refers to an individual or organization that uses the System.

[0382] "Application" refers to a software program installed and used by a user on a terminal.

[0383] "Multiple mood options" refers to multiple options (e.g., energetic, sad, relaxed, busy) that allow a user to confirm their current feelings or state.

[0384] An "answer" refers to a selection made by a user from mood-related options.

[0385] "Past data" refers to records of a user's past actions (e.g., purchase history, search history).

[0386] "Emotion data" refers to data that represents the user's current emotional state, analyzed from facial expressions, voice, etc.

[0387] A "generative AI model" refers to an artificial intelligence model that generates themes based on input data (answers, past data, emotional data).

[0388] A "theme" refers to a collection of specific visual and content elements generated based on the user's mood or emotion.

[0389] "Device" refers to a device on which the application is installed, such as a smartphone, tablet, or PC.

[0390] "Display means" refers to a function for visually presenting the generated theme on the screen of a terminal.

[0391] "Means for generating a QR code for sharing" refers to technology for generating a QR code for sharing the generated theme with other devices.

[0392] The present invention is a system that generates specific themes based on the user's mood and emotions, and can display and share these themes. Specific embodiments are described below.

[0393] System Embodiments

[0394] 1. Hardware and Software

[0395] Device: The device used by the user, such as a smartphone, tablet, or computer.

[0396] Server: Cloud-based server such as AWS EC2, Microsoft Azure, etc.

[0397] Emotion Engine: Emotion recognition tools such as OpenCV, DLib, Emotion API.

[0398] Generative AI models: Deep learning models such as TensorFlow and PyTorch.

[0399] QR code generation library: qrcode (library for Python), etc.

[0400] 2. System Components and Data Calculations

[0401] When the user first opens the application, the server generates multiple mood options (e.g., "Energetic," "Sad," "Relaxed," "Busy") and stores them in a database. The server also combines the user's selected options with past data and emotional data and inputs them into a generative AI model.

[0402] When the device launches the application, it sends an API request to the server to obtain a question about the user's mood that day and a choice of options. As the user selects an option, the emotion engine analyzes the user's facial expressions and voice to obtain real-time emotional data.

[0403] The user's selected answers and acquired emotional data are sent from the device to a server. The server uses this data to acquire user data such as past purchase history and search history, and inputs this into a generative AI model. The generative AI model then generates personalized themes based on the input data.

[0404] The generated theme is sent from the server to the device and displayed on the device. The theme stored on the device can also be converted into a QR code using a QR code generation library, allowing it to be easily shared with other devices.

[0405] 3. Examples and prompts

[0406] For example, when a user starts an application, the question "How are you feeling today?" is displayed, and options such as "Energetic," "Sad," "Relaxed," and "Busy" are provided. Suppose the user selects "Energetic," and the emotion engine recognizes the emotion of "Happy" from the user's facial expression.

[0407] The following prompt is input to the generative AI model:

[0408] The user selected "Energetic" as their mood for today. Their past search history includes many sports-related products, and the emotion recognition engine detects the emotion of joy. Based on this, please suggest the most suitable product theme.

[0409] Based on this prompt, the generative AI model generates a "Energetic" theme, a bright color theme that highlights sports-related merchandise, which is then displayed on the device for the user to review, select, and apply.

[0410] In this way, the system can generate and instantly update personalized themes that reflect the user's mood and emotions in real time, and also allows themes to be easily shared.

[0411] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0412] Step 1:

[0413] The server generates daily questions and options and stores them in a database. Specifically, the server generates the question "How are you feeling today?" and options such as "Energetic," "Sad," "Relaxed," and "Busy." This data is later retrieved when the device sends a request.

[0414] Input: Current date, preset questions and choices

[0415] Data processing: generating and formatting questions and options

[0416] Output: Questions and options stored in a database

[0417] Step 2:

[0418] When the device launches the application, it sends an API request to the server to retrieve the question and options for the day. The device processes the response to this request and displays the question and options.

[0419] Input: API request (from terminal to server)

[0420] Data processing: Receives response data from the server and converts it into a format that can be displayed on the device.

[0421] Output: The question and choices that are displayed to the user

[0422] Step 3:

[0423] As the user selects an answer from a list of options to answer a question, the emotion engine analyzes the user's facial expressions and voice to obtain real-time emotional data.

[0424] Input: User's selected answer, user's facial expression data and voice data

[0425] Data processing: Analysis of facial expression data and voice data using an emotion engine

[0426] Output: Selected answers and captured sentiment data

[0427] Step 4:

[0428] The device sends the selected answer and emotion data to the server, which also collects the user's past purchase and search history.

[0429] Input: Selected answers and emotion data (from device to server), past user data (in the server database)

[0430] Data processing: Combining multiple choice answers, emotional data, and past data

[0431] Output: The retrieved user dataset

[0432] Step 5:

[0433] The server inputs this data into a generative AI model to generate a theme that best suits the user's mood and emotions. The generative AI model then creates prompts based on this input data and generates themes.

[0434] Input: Selected answers, emotion data, past data (from server to generative AI model)

[0435] Data processing: Data analysis and theme generation using generative AI models

[0436] Output: The generated theme

[0437] Step 6:

[0438] The server formats the generated theme and sends it to the device, where the theme data is formatted to be displayed on the user's device.

[0439] Input: Generated theme data

[0440] Data processing: formatting thematic data and sending it to the terminal

[0441] Output: Theme data that can be displayed on the device

[0442] Step 7:

[0443] The device receives the theme data sent from the server and stores it in a local database. The user can then view the new theme on the theme list screen and select it to apply it.

[0444] Input: Theme data (from server to device)

[0445] Data processing: Saving theme data and displaying it on the list screen

[0446] Output: A list of themes that the user can choose from

[0447] Step 8:

[0448] When a user wants to share a theme with another device, the device generates and displays a QR code using a QR code generation library. Other devices can then scan this QR code to obtain the theme.

[0449] Input: Theme data saved on the device

[0450] Data processing: QR code generation

[0451] Output: The displayed QR code and the theme data are sent to the device that received the share.

[0452] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the 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.

[0453] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0454] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0455] [Second embodiment]

[0456] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0457] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0458] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0459] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0460] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0461] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0462] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0463] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0464] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[0465] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0466] In the smart glasses 214, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0467] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0468] This invention relates to a system that generates themes according to the user's mood and displays them on the device. When the user opens the application, the system displays questions about the user's mood that day and the user answers them. The system combines the user's answers with past data to generate themes, and provides functions to display, save, and share them.

[0469] Program processing

[0470] Pop-up display

[0471] The server generates daily questions and options in advance and stores them in a database. For example, a question about today's mood might be generated as "How are you feeling today?", with four options: "Energetic," "Sad," "Relaxed," and "Busy."

[0472] When the device launches the application, it sends an API request to the server to retrieve the questions and options for the day.

[0473] The terminal displays the acquired questions and options to the user as a pop-up window, through which the user selects their mood for the day.

[0474] Examples:

[0475] When a user opens the application, the device sends a request to the server to retrieve the question and options for the day. The device displays a pop-up asking, "How are you feeling today?" and the user can choose from "Energetic," "Sad," "Relaxed," or "Busy."

[0476] Data collection

[0477] The user selects their mood for the day from options in a pop-up window.

[0478] The device records the user's selection and sends it to the server via an API request.

[0479] The server retrieves the received user selection data and the user's past search history from the database.

[0480] Examples:

[0481] The user selects "Energetic." The device temporarily stores this information and sends it to the server. The server then retrieves data related to sports and outdoor activities that the user has previously searched for.

[0482] Theme Generation

[0483] The server uses the user's answers and past data to generate a theme using a generative AI model. For example, if the user selects "energetic" and their past search history includes sports-related data, it generates a "sports theme with energetic colors."

[0484] The server formats the generated theme data and sends it to the terminal.

[0485] Examples:

[0486] The server runs a generative AI model based on the user's response of "energetic" and their past search history to generate a "sports theme with energetic colors." The generated theme is then sent to the device.

[0487] Theme display

[0488] The terminal receives the theme data sent from the server and stores it in a local database.

[0489] Your device will display the new theme on the theme list screen.

[0490] The user checks the displayed themes and selects one to use.

[0491] Examples:

[0492] The device receives the new theme and stores it in the local database. The theme list screen is updated to show the new theme. The user can then select the theme to use.

[0493] Save / Share

[0494] If a user saves a particular theme as a favorite, the device will store up to 10 of those themes in a local database. If there are more than 10, the oldest theme will be deleted.

[0495] When a user shares a theme with another device, the device generates a QR code using a QR code generation library.

[0496] Your device will display a generated QR code that you can scan on other devices to share the theme.

[0497] Examples:

[0498] The user saves a specific theme as a favorite. If 10 themes are already saved, the oldest theme will be deleted. When the user presses the "Share" button, the device generates a QR code and displays it on the screen. Another device can scan the QR code to obtain the theme.

[0499] The system of the present invention generates themes that correspond to the user's mood, and by displaying, saving, and sharing these themes, it is possible to improve user satisfaction and the rate of continued use.

[0500] The processing flow will be explained below.

[0501] Step 1:

[0502] The server generates daily questions and options and stores them in a database. For example, the question "How are you feeling today?" can be asked with options "Energetic," "Sad," "Relaxed," and "Busy."

[0503] Step 2:

[0504] When the device launches the application, it sends an API request to the server to retrieve the question and options for the day.

[0505] Step 3:

[0506] The terminal displays a pop-up window to the user with the retrieved question and options.

[0507] Step 4:

[0508] The user selects the option that best describes the mood of the day in the pop-up window, for example, "feeling good."

[0509] Step 5:

[0510] The device records the user's selection in a local database and sends it to the server as an API request.

[0511] Step 6:

[0512] The server receives the user's response and retrieves the user's past search history and interest data from a database.

[0513] Step 7:

[0514] The server combines the user's answer with past data and passes it to the generative AI model as input. For example, the answer "I'm fine" and sports-related search history are input to the model.

[0515] Step 8:

[0516] Based on the input data, the generative AI model generates themes that match the user's mood, for example, a sports theme with vibrant colors.

[0517] Step 9:

[0518] The server formats the generated theme into a data format (e.g., JSON) and sends it to the device.

[0519] Step 10:

[0520] The terminal receives the theme data sent from the server and stores it in a local database.

[0521] Step 11:

[0522] The device will display the new theme on the theme list screen, allowing the user to view, select, and use the theme.

[0523] Step 12:

[0524] A user presses the "Favorites" button to save a particular theme as a favorite.

[0525] Step 13:

[0526] The device will store up to 10 themes in a local database, and will delete the oldest theme if there are more than 10.

[0527] Step 14:

[0528] To share the theme with other devices, the user presses the "Share" button.

[0529] Step 15:

[0530] The device uses a QR code generation library to convert the data for the selected theme and generate a QR code.

[0531] Step 16:

[0532] The device will display the generated QR code, allowing other devices to scan the QR code and share the theme.

[0533] Example 1

[0534] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0535] Conventional theme generation systems have difficulty generating personalized themes based on a user's mood and past history, and there are limited ways to easily share those themes. This raises concerns about a decline in user satisfaction and continued use. Furthermore, insufficient theme storage and management can lead to problems such as a decline in system performance due to an excess of stored themes.

[0536] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0537] In this invention, the server includes means for presenting a plurality of mood-related options to a user when the user first opens the application, means for recording an answer selected by the user from the options and combining the answer with the user's past data, means for generating a corresponding theme based on the answer and the past data, means for displaying the generated theme on the terminal, means for saving the theme in a database of the terminal and displaying it in a list, and means for sharing the themes saved on the terminal with other terminals. This allows for the generation of an appropriate theme based on the user's mood and past history, facilitating the saving and sharing of themes, and improving user satisfaction and the rate of continued use.

[0538] "User" refers to a person who uses the System or an end user.

[0539] "Terminal" refers to a device or computer that is directly operated by a user, such as a smartphone, tablet, or PC.

[0540] A "server" refers to a computer system that processes requests from user terminals and generates, stores, and transmits data.

[0541] "Application" refers to a software program that a user uses through a terminal.

[0542] The "options" refer to a plurality of possible answers presented to the user, and are used to select the user's mood or situation.

[0543] An "answer" refers to information selected by the user from among the options.

[0544] "Past data" refers to data and history information that the user has used in the past, including search history and past selection information.

[0545] "Themes" refer to designs and customized content generated based on the user's mood and past data.

[0546] A "database" refers to a system that systematically organizes, stores, and manages data.

[0547] An "API request" refers to a data request sent from a terminal to a server, and includes a protocol for accessing a specific endpoint.

[0548] A "generative AI model" is a model that generates data using artificial intelligence algorithms, including machine learning and natural language processing technologies.

[0549] A "QR code" is a means of visually encoding information using a rectangular, two-dimensional barcode that can be scanned by other devices to share data.

[0550] A "prompt" refers to the initial input data or instructions given to a generative AI model, and includes text to guide the output.

[0551] This invention relates to a system that generates themes according to the user's mood and displays, saves, and shares them. When the user opens the application, the system displays questions about the user's mood that day and the user answers them. The system generates themes by combining the user's answers with past data and provides functions to display, save, and share them.

[0552] First, the server generates daily questions and options and stores them in a database. An example question is "How are you feeling today?", with options including "Energetic," "Sad," "Relaxed," and "Busy." This generated data can be retrieved by the device through an API request. Specifically, when the device starts the application, it sends an HTTPS request to the server to retrieve the question and options.

[0553] When a user opens the application, the device displays a pop-up containing questions and options retrieved from the server. The user interface is generated using Swift for iOS and Java for Android. When the user selects their mood for the day from the options, the device temporarily stores that information and sends it to the server. For example, if the user selects "Energetic," the data is sent to the server in JSON format.

[0554] The server receives the user's selection data and retrieves the user's past search history from a database. The search history is retrieved using an SQL query. The server then generates a theme using a generative AI model based on the user's answers and past data. An example of a generative AI model that could be used is OpenAI's GPT-3. Prompts include, "If the user selects the mood 'Energetic' and there is past sports-related data, generate a 'Sports Theme with Energetic Colors'."

[0555] The generated theme is formatted in JSON format and sent to the device. The device saves the received theme in a local database and updates the theme list screen to display the new theme. The user can then view, select, and use the new theme. This provides personalized themes that match the user's individual mood and past history.

[0556] Furthermore, if a user wants to save a theme as a favorite, up to 10 of those themes will be saved in the device's database. If 10 themes are already saved, the oldest theme will be automatically deleted. Also, if a user wants to share a theme with another device, the device will generate a QR code using a QR code generation library (e.g., ZXing). The generated QR code will be displayed on the device, and another device can scan this QR code to obtain the theme.

[0557] This allows the system of the present invention to generate themes that match the user's mood, and by displaying, saving, and sharing these themes, it is possible to improve user satisfaction and the rate of continued use.

[0558] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0559] Specific processing steps of the system program

[0560] Step 1: Create and save questions and options

[0561] The server runs an automated script at a set time each day to generate the questions and options for that day and store them in a database.

[0562] Input: Generator and choice data

[0563] Data processing: Generate choice data randomly or using a specific algorithm and add choices

[0564] Output: The new question and options are saved in the database.

[0565] Step 2: Get the questions and options

[0566] When the application is launched, the device sends an API request to the server to retrieve the question and options for the day.

[0567] Input: Application launch event

[0568] Data processing: Sending an API request to a server endpoint

[0569] Output: Question and choice data returned to terminal

[0570] Step 3: Show the popup

[0571] The terminal displays the acquired questions and options to the user in a pop-up format.

[0572] Input: Question and choice data from the server

[0573] Data processing: Pop-up UI generation

[0574] Output: The user is presented with a popup with the question and options.

[0575] Step 4: Getting and submitting user answers

[0576] The user selects their mood for the day from the options displayed, and the device sends that data to the server via an API.

[0577] Input: User selected data

[0578] Data processing: Convert selected data to JSON format and send it

[0579] Output: User selections sent to the server

[0580] Step 5: Retrieving User Data

[0581] The server retrieves the user's past search history from the database based on the received user selection data and past data.

[0582] Input: User selected data

[0583] Data processing: Retrieving past data using SQL queries

[0584] Output: Obtained past search history data

[0585] Step 6: Generate the Theme

[0586] The server uses a generative AI model to generate themes based on user responses and historical data.

[0587] Input: User response data and past search history data

[0588] Data processing: Theme generation using generative AI models (e.g., GPT-3)

[0589] Output: Generated theme data

[0590] Step 7: Format and submit your theme

[0591] The server formats the generated theme data and sends it to the terminal.

[0592] Input: Generated theme data

[0593] Data processing: Converting theme data to JSON format

[0594] Output: Formatted theme data is sent to the device

[0595] Step 8: Saving and Viewing the Theme

[0596] The device stores the received theme in a local database and displays it on the theme list screen.

[0597] Input: Received theme data

[0598] Data processing: saving to local database and updating UI

[0599] Output: The new theme will be displayed on the list screen.

[0600] Step 9: Select and Apply a Theme

[0601] The user selects and uses a theme from the list screen.

[0602] Input: User selection information

[0603] Data processing: Applying selected themes

[0604] Output: The selected theme is applied to the device.

[0605] Step 10: Saving and Deleting Themes

[0606] Users can save specific themes as favorites, and the device will save up to 10 favorites and delete old themes.

[0607] Input: Theme data the user wants to save

[0608] Data processing: Save to local database, delete old data when a certain number is exceeded

[0609] Output: The theme is saved and the old theme is deleted.

[0610] Step 11: Share your theme

[0611] When a user shares a theme with another device, the device generates and displays a QR code using a QR code generation library.

[0612] Input: User's sharing request

[0613] Data processing: Encoding theme data into QR code

[0614] Output: The generated QR code is displayed on the device.

[0615] (Application example 1)

[0616] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0617] Current applications, such as electronic payment services, do not generate themes that match the user's mood or past usage history, which prevents an improved user experience. Furthermore, the cumbersome task of configuring individual settings for the application discourages users from continuing to use the application. Furthermore, there is no way for users to easily share themes that match their mood with other users.

[0618] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0619] In this invention, the server includes means for presenting a plurality of mood-related options to a user when the user first opens the application, means for recording an answer selected by the user from the options and combining the answer with the user's past data, means for generating a corresponding theme using a generative artificial intelligence model based on the answer and the past data, means for displaying the generated theme on the terminal, and means for sharing the theme stored on the terminal with other terminals together with a prompt text. This allows for easy generation and sharing of themes according to the user's mood, improving the user experience and promoting continued use of the application.

[0620] "Multiple mood choices" refers to multiple options presented to a user for selecting their current mood.

[0621] "User's past data" refers to information about the user's behavior, such as the user's past usage history and search history.

[0622] "Generative artificial intelligence models" refer to algorithms or models used to generate new data or information using machine learning or deep learning.

[0623] A "theme" refers to settings for changing the design, layout, color usage, etc. of an application's user interface.

[0624] A "prompt" refers to an instruction or question displayed to the user to prompt them to input or respond.

[0625] "Device" refers to an electronic device such as a smartphone or tablet on which an application is installed.

[0626] This invention relates to a system that generates themes according to the user's mood and displays, saves, and shares them on the device. This system works by displaying questions about the user's mood for the day when the user opens the application, and the user answers the questions. Details are described below.

[0627] System Configuration

[0628] The system consists of a server, devices (such as smartphones), and users. The server provides an API using Python and Flask, and the database is managed using PostgreSQL with SQLAlchemy. TensorFlow is used for the generative AI model. Client apps are implemented using Kotlin for Android and Swift for iOS.

[0629] Program processing description

[0630] 1. Pop-up display

[0631] When a user launches the application, the device sends an API request to the server to obtain a question and options about the user's mood for the day. The obtained question and options are displayed to the user in a pop-up window. For example, in response to the question "How are you feeling today?", the user can choose from "Energetic," "Sad," "Relaxed," and "Busy."

[0632] 2. Data Collection

[0633] The user selects their mood for the day in a pop-up window. The device temporarily stores this selection data and sends it to the server via API. The server then retrieves the received selection data and past usage history (e.g., search history).

[0634] 3. Theme generation

[0635] The server uses a generative AI model to generate a theme based on the user's selection and past data. For example, if the user selects "Energetic" and there are many colorful themes in the past history, a colorful theme with energetic colors will be generated. The generated theme data is formatted and sent to the device.

[0636] 4. Theme display

[0637] The device receives the theme data sent from the server and stores it in a local database. The new theme is then displayed on the theme list screen. The user can select a theme to apply.

[0638] 5. Save / Share

[0639] Themes can be saved as favorites, and up to 10 themes are stored in a local database. If there are more than 10, the oldest theme will be deleted. The device can also generate QR codes using a QR code generation library to share themes with other devices.

[0640] Specific examples

[0641] When a user opens the application, the device sends a request to the server to get the question "How are you feeling today?" and the options ("Energetic," "Sad," "Relaxed," "Busy"). If the user selects "Energetic," the server generates a "colorful theme with energetic colors" based on this and sends it to the device. The user can then apply the new theme and enjoy the appearance of the application that matches their mood.

[0642] Also, when a user shares this theme with another device, the device generates a QR code, which the other device can simply scan to obtain the theme.

[0643] Using this system, users can easily create, apply, and share themes that suit their daily mood, greatly improving the application experience.

[0644] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0645] Step 1:

[0646] The server generates a question and options (prompt) about the mood of the day and saves them in a database. The server provides the question "How are you feeling today?" with options "Energetic," "Sad," "Relaxed," and "Busy." The input is the server's scheduled task, and the output is the prompt saved in the database.

[0647] Step 2:

[0648] When a user launches the application, the device sends an API request to the server to retrieve the question and options for the day. The device then sends a request to the server, which retrieves the prompt for the day from the database and returns it to the device. The input is the API request to the server, and the output is the question and options for the day.

[0649] Step 3:

[0650] The terminal displays the acquired question and options to the user as a pop-up window. Specifically, the terminal displays the question "How are you feeling today?" and the options "Energetic," "Sad," "Relaxed," and "Busy" on the screen. The input is a prompt from the server, and the output is a pop-up window.

[0651] Step 4:

[0652] The user selects their mood for the day in a popup window. The user taps an option such as "Energetic." The input is the user's selection, and the output is the selected mood.

[0653] Step 5:

[0654] The device temporarily stores the user's selection data and sends it to the server via an API request. The device temporarily stores the selection data in memory and sends it to the server via API. The input is the user's selection data and the output is an API request to the server.

[0655] Step 6:

[0656] The server retrieves the received selection data and the user's past data from the database. The server uses the user's ID as a key to read past search history and other data from the database. The input is the user's selection data, and the output is past data.

[0657] Step 7:

[0658] The server uses a generative AI model to generate themes based on the user's mood and past data. The server uses TensorFlow to run the generative AI model and generate the corresponding theme. The input is the user's mood and past data, and the output is the generated theme data.

[0659] Step 8:

[0660] The generated theme data is sent to the device. The server sends the generated theme data to the device as an API response. The input is the generated theme data, and the output is the API response to the device.

[0661] Step 9:

[0662] The terminal receives new theme data and saves it in the local database. The terminal writes the received theme data to the local storage. The input is theme data from the server, and the output is the saved data in the local database.

[0663] Step 10:

[0664] The device displays the generated theme on the Kisekae list screen. The device displays a preview of the new theme on the Kisekae list screen. The input is theme data from the local database, and the output is the Kisekae list screen.

[0665] Step 11:

[0666] The user selects and applies a displayed theme. The user taps on the theme and presses the apply button. The input is the user's theme selection, and the output is the applied theme.

[0667] Step 12:

[0668] The device stores up to 10 themes in a local database so that users can save specific themes as favorites. If 10 themes are already stored, the oldest theme is deleted. The input is new theme data, and the output is the updated local database.

[0669] Step 13:

[0670] To share themes with other devices, the device uses a library to generate QR codes. The device converts the user's selected theme data into a QR code. The input is the saved theme data, and the output is the generated QR code.

[0671] Step 14:

[0672] A user displays a QR code on another device, and the other user scans the QR code to obtain the theme. The device displays the QR code on its screen, which is then scanned by the other device's camera. The input is the generated QR code, and the output is the completion of theme sharing.

[0673] In this way, a system that generates and shares themes according to the user's mood improves the user experience and encourages continued use of the application.

[0674] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0675] The present invention provides a system for generating and displaying themes based on a user's mood and emotions. The system includes an emotion engine that recognizes the user's emotions, and utilizes emotion data to generate themes with higher accuracy.

[0676] Program processing

[0677] Pop-up display and emotion recognition

[0678] The server generates daily questions and options and stores them in a database. For example, a question about today's mood might be generated as "How are you feeling today?", with four options: "Energetic," "Sad," "Relaxed," and "Busy."

[0679] When the device launches the application, it sends an API request to the server to retrieve the question and options for the day.

[0680] The device displays the acquired questions and options to the user in a pop-up window, and the emotion engine analyzes the user's facial expressions and voice to acquire emotional data in real time.

[0681] Examples:

[0682] When a user opens the application, the device sends a request to the server to retrieve the question and options for the day. The device displays a pop-up asking, "How are you feeling today?", while the emotion engine analyzes the user's facial expressions and voice to obtain emotional data.

[0683] Data collection

[0684] The user selects their mood for the day from a pop-up window, for example, selecting "Energetic."

[0685] The terminal records the selected mood data and transmits it to the server together with the emotion data obtained from the emotion engine.

[0686] In addition to the mood and emotion data received by the server, the server also obtains the user's past search history and interest data from the database.

[0687] Examples:

[0688] The user selects "Energetic." The device sends this information and the emotion data obtained from the emotion engine to the server. The server then obtains data related to sports and outdoor activities that the user has previously searched for.

[0689] Theme Generation

[0690] The server uses the user's answers, past data, and emotional data to input data into the generative AI model. For example, the answer "I'm fine," sports-related search history, and emotional data such as "joy" detected by the emotion engine are input into the model.

[0691] A generative AI model uses this data to generate themes that match the user's mood and emotion, for example a sports theme with vibrant colors.

[0692] The server formats the generated theme data and sends it to the terminal.

[0693] Examples:

[0694] The server runs a generative AI model based on the user's response of "energetic," past search history, and emotional data of "joy," and generates a "sports theme with energetic colors." The generated theme is then sent to the device.

[0695] Theme display

[0696] The terminal receives the theme data sent from the server and stores it in a local database.

[0697] The device will display the new theme on the theme list screen, allowing the user to view, select, and use the theme.

[0698] Examples:

[0699] The device receives the new theme and stores it in the local database. The theme list screen is updated to show the new theme. The user can then select the theme to use.

[0700] Save / Share

[0701] If a user saves a particular theme as a favorite, the device will store up to 10 of those themes in a local database. If there are more than 10, the oldest theme will be deleted.

[0702] When a user shares a theme with another device, the device generates a QR code using a QR code generation library.

[0703] The device will display the generated QR code, allowing other devices to scan the QR code and share the theme.

[0704] Examples:

[0705] The user saves a specific theme as a favorite. If 10 themes are already saved, the oldest theme will be deleted. When the user presses the "Share" button, the device generates a QR code and displays it on the screen. Another device can scan the QR code to obtain the theme.

[0706] The system of the present invention aims to provide a more personalized experience through theme generation based on the user's mood and emotions, thereby increasing user satisfaction and retention.

[0707] The processing flow will be explained below.

[0708] Step 1:

[0709] The server generates daily questions and options and stores them in a database. For example, the question "How are you feeling today?" is provided with options such as "Energetic," "Sad," "Relaxed," and "Busy."

[0710] Step 2:

[0711] When the device launches the application, it sends an API request to the server to retrieve the question and options for the day.

[0712] Step 3:

[0713] The device displays the acquired questions and options to the user in a pop-up window, and at the same time, an emotion engine is activated, analyzing the user's facial expressions and voice in real time to acquire emotional data.

[0714] Step 4:

[0715] The user selects one option from the popup window that best suits their mood for the day. For example, they select "Energetic."

[0716] Step 5:

[0717] The device records the user's selections and the emotion data obtained from the emotion engine, and sends this data to the server as an API request.

[0718] Step 6:

[0719] In addition to the user's responses and emotional data received by the server, the server also obtains the user's past search history and interest data from the database.

[0720] Step 7:

[0721] The server combines the user's answers, emotional data, and past data and inputs them into the generative AI model. For example, the answer "I'm fine," sports-related search history, and the emotional data of "joy" detected by the emotion engine are provided to the model.

[0722] Step 8:

[0723] A generative AI model uses this data to generate themes that match the user's mood and emotion, such as a sports theme with vibrant colors.

[0724] Step 9:

[0725] The server formats the generated theme into a data format (e.g., JSON) and sends it to the device.

[0726] Step 10:

[0727] The terminal receives the theme data sent from the server and stores it in a local database.

[0728] Step 11:

[0729] The device displays the saved themes on the theme list screen, allowing the user to check and select a theme to use.

[0730] Step 12:

[0731] If the user wishes to save a particular theme as a favorite, he or she presses the "Favorite" button.

[0732] Step 13:

[0733] The device will store up to 10 of these themes in a local database, and will delete the oldest theme if there are more than 10.

[0734] Step 14:

[0735] If the user wants to share the theme with other devices, he presses the "Share" button.

[0736] Step 15:

[0737] The device uses a QR code generation library to convert the data for the selected theme into a QR code.

[0738] Step 16:

[0739] The device will display the generated QR code, allowing other devices to obtain the theme by scanning the QR code.

[0740] Examples:

[0741] When a user opens the application, the device sends a request to the server to retrieve the question and options for the day. The device displays a pop-up asking, "How are you feeling today?" while the emotion engine analyzes the user's facial expressions and voice to obtain emotional data in real time.

[0742] When a user selects "Energetic," the device sends this information and emotional data to the server. The server then runs a generative AI model based on the emotional data, along with past search history, to generate a sports theme with energetic colors. The generated theme is sent to the device and displayed on the theme list screen. If the user saves a specific theme as a favorite, the device can store up to 10 themes and share them with other devices using QR codes.

[0743] Example 2

[0744] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0745] Conventional theme generation systems lack the ability to recognize a user's mood and emotions in real time and provide themes based on those emotions. Furthermore, the generated themes may not match the user's emotions, resulting in a lack of a personalized experience. Furthermore, there are limited ways to share themes between devices, leaving a need for improved user experience.

[0746] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for presenting a plurality of mood-related options when the user first opens the application; means for recording an answer selected by the user from the options and combining it with the user's past data; means for inputting a prompt sentence to a response generation engine based on the answer and the past data; means for displaying a theme generated based on the prompt sentence on the terminal; means including an emotion recognition engine for analyzing the user's facial expressions and voice and acquiring emotion data; and means for sharing the theme stored on the terminal with other terminals. This enables the generation of themes that reflect the user's real-time emotion data, thereby providing a personalized experience and enabling the easy sharing of themes between terminals.

[0747] "User" refers to a person who uses a system or application.

[0748] "Application" refers to software that runs on a terminal and provides services to users.

[0749] "Mood" refers to the emotional or mental state a user is feeling at a particular time.

[0750] "Choices" refers to multiple possible answers presented to the user to respond.

[0751] "Means" refers to a method or device for achieving a particular purpose.

[0752] "Historical Data" refers to information previously generated by a user or recorded by a system.

[0753] "Response Generation Engine" means a model or algorithm for generating themes or other responses based on input data.

[0754] "Prompt sentence" refers to instructions or text used as input to a response generation engine.

[0755] A "theme" refers to settings or designs that change the display attributes of a user's applications or devices.

[0756] "Terminal" refers to an electronic device used by a user, such as a computer, smartphone, or tablet.

[0757] An "emotion recognition engine" refers to a model or algorithm for analyzing emotions from a user's facial expressions and voice and acquiring emotional data.

[0758] "Emotion data" refers to data indicating the emotional state of a user obtained by an emotion recognition engine.

[0759] "Share" refers to the operation of sharing a saved theme with other devices or users.

[0760] The present invention is a system for generating and displaying themes based on a user's mood and emotions. The system includes an emotion engine that recognizes the user's emotions and provides a means for utilizing emotion data to achieve highly accurate theme generation.

[0761] The system uses a server, a terminal, and an emotion recognition engine. Here, we will explain the specific process flow and the hardware and software used.

[0762] First, the server generates daily questions and options and stores them in a database. For example, it provides the question "How are you feeling today?" with options such as "Energetic," "Sad," "Relaxed," and "Busy."

[0763] When the device launches the application, it sends an API request to the server to retrieve the question and options for the day. The device displays the retrieved question and options to the user in a pop-up window. At the same time, the emotion recognition engine analyzes the user's facial expressions and voice to obtain emotional data in real time.

[0764] Next, the user selects their mood for the day from a pop-up window. For example, they select "Energetic." The device records this mood data and sends it to the server along with emotion data obtained from the emotion recognition engine. The server then combines the received mood data with the user's past search history and interest data, including the emotion data.

[0765] Next, the server inputs the prompt sentence into the generative AI model based on the user's answer, past data, and emotional data. For example, the answer "I'm fine," sports-related search history, and emotional data such as "joy" detected by the emotion engine are input into the model. An example of a prompt sentence is as follows:

[0766] Example prompt sentence:

[0767] Generate sports-related themes to suit users who are in a lively mood.

[0768] Based on this data, the generative AI model generates a theme that matches the user's mood and emotion, for example, a "sports theme with lively colors." The server formats the generated theme data and sends it to the device.

[0769] The device receives the theme data sent from the server and saves it in a local database. The device displays the new theme on the theme list screen, allowing the user to check, select, and use the theme.

[0770] Furthermore, if a user saves a specific theme as a favorite, the device will store up to 10 of those themes in a local database. If the number of themes exceeds 10, the oldest theme will be deleted. If a user shares a theme with another device, the device will generate a QR code using the QR code generation library. The device will display the generated QR code, and the other device can scan the QR code to share the theme.

[0771] The system of the present invention aims to provide a more personalized experience through theme generation based on the user's mood and emotions, thereby increasing user satisfaction and retention.

[0772] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0773] Step 1: Generate questions and options

[0774] The server generates daily questions and options and stores them in a database. As input, the server uses a fixed template and a question generation algorithm. For example, it generates the question "How are you feeling today?" and options such as "Energetic", "Sad", "Relaxed" and "Busy". The generated questions and options are stored in a database and added to the list of questions for that day. The output is the generated questions and options.

[0775] Step 2: Sending API requests and getting questions

[0776] When the device launches the application, it sends an API request to the server to retrieve the question and options for that day. As input, the device sends user authentication information and a request ID, and the server retrieves the question and options for that day from the target database and returns them as a response. The output is the retrieved question and options.

[0777] Step 3: Displaying the Pop-up Window and Obtaining Emotion Data

[0778] The device displays the acquired questions and options to the user in a pop-up window. At the same time, the emotion recognition engine analyzes the user's facial expressions and voice to acquire emotional data in real time. The input is a live feed from the camera and microphone, and the emotion recognition engine processes this data to analyze the emotional state. The output is the user's selected mood data and the analyzed emotional data.

[0779] Step 4: Choose your mood

[0780] The user selects their mood for the day from a pop-up window. For example, they select "Energetic." The input is a manually selected option, and the device records this data. The output is the user-selected mood data.

[0781] Step 5: Record and send data

[0782] The device records the selected mood data and sends it to the server along with the emotion data obtained from the emotion recognition engine. The input mood data and emotion data are formatted in JSON format and sent to the server as an HTTP request. The output is the data sent to the server.

[0783] Step 6: Obtaining historical data

[0784] In addition to the mood and emotion data received by the server, it also retrieves the user's past search history and interest data from the database. It executes a query using the user ID as input to retrieve past data. The output is the integrated mood, emotion, and past data.

[0785] Step 7: Generate a prompt statement

[0786] The server inputs the user's answers, past data, and emotional data into the generative AI model as a prompt. For example, it generates a prompt such as, "Generate sports-related topics that suit a user who is in a good mood." The inputs are mood data, past search history, and emotional data, and the output is the generated prompt.

[0787] Step 8: Generate the Theme

[0788] Based on this data, a generative AI model generates themes that match the user's mood and emotions. The input is a prompt sentence, which the AI ​​model parses and generates appropriate themes. The output is the generated theme data.

[0789] Step 9: Format and submit theme data

[0790] The server formats the generated theme data and sends it to the device. It takes the generated theme data as input and converts it into a usable format. The output is the theme data sent to the device.

[0791] Step 10: Receive and store theme data

[0792] The terminal receives the theme data sent from the server and stores it in a local database. The input is the theme data, which is stored in the local database. The output is the stored theme data.

[0793] Step 11: Viewing the Theme

[0794] The device displays the new theme on the theme list screen. The input is the saved theme data, which is reflected in the UI. The output is the new theme displayed on the user's display screen.

[0795] Step 12: Save the Theme

[0796] When a user saves a particular theme as a favorite, the device stores that theme in a local database, up to a maximum of 10 times. The input is a save request, and multiple themes are managed in the local database. The output is the saved theme.

[0797] Step 13: Generate and share a QR code

[0798] When a user shares a theme with another device, the device generates a QR code using a QR code generation library and displays the QR code. The input is the theme data, and the QR code is generated. The output is the generated QR code.

[0799] Step 14: Scan the QR code

[0800] Themes are shared by other devices by scanning the QR code. The input is a QR code scanned with a camera, and the scanned data is interpreted as theme data. The output is the shared theme.

[0801] (Application example 2)

[0802] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0803] Conventional theme generation systems have difficulty in fully reflecting the user's mood and emotions, making it difficult to provide a personalized experience. Furthermore, there are insufficient methods for easily sharing generated themes with other devices. Furthermore, updating themes in real time in response to changes in the user's emotions has also been a challenge.

[0804] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for presenting a plurality of mood-related options to the user when the user first opens the application, means for recording the answer selected by the user from the options and combining the user's past data and emotional data, means for generating a corresponding theme using a generative AI model based on the answer, the past data, and the emotional data, means for displaying the generated theme on the terminal, and means for generating a QR code for sharing the theme stored on the terminal with other terminals. This enables the generation and immediate updating of personalized themes that reflect the user's moods and emotions in real time, and also makes it easy to share themes.

[0805] "User" refers to an individual or organization that uses the System.

[0806] "Application" refers to a software program installed and used by a user on a terminal.

[0807] "Multiple mood options" refers to multiple options (e.g., energetic, sad, relaxed, busy) that allow a user to confirm their current feelings or state.

[0808] An "answer" refers to a selection made by a user from mood-related options.

[0809] "Past data" refers to records of a user's past actions (e.g., purchase history, search history).

[0810] "Emotion data" refers to data that represents the user's current emotional state, analyzed from facial expressions, voice, etc.

[0811] A "generative AI model" refers to an artificial intelligence model that generates themes based on input data (answers, past data, emotional data).

[0812] A "theme" refers to a collection of specific visual and content elements generated based on the user's mood or emotion.

[0813] "Device" refers to a device on which the application is installed, such as a smartphone, tablet, or PC.

[0814] "Display means" refers to a function for visually presenting the generated theme on the screen of a terminal.

[0815] "Means for generating a QR code for sharing" refers to technology for generating a QR code for sharing the generated theme with other devices.

[0816] The present invention is a system that generates specific themes based on the user's mood and emotions, and can display and share these themes. Specific embodiments are described below.

[0817] System Embodiments

[0818] 1. Hardware and Software

[0819] Device: The device used by the user, such as a smartphone, tablet, or computer.

[0820] Server: Cloud-based server such as AWS EC2, Microsoft Azure, etc.

[0821] Emotion Engine: Emotion recognition tools such as OpenCV, DLib, Emotion API.

[0822] Generative AI models: Deep learning models such as TensorFlow and PyTorch.

[0823] QR code generation library: qrcode (library for Python), etc.

[0824] 2. System Components and Data Calculations

[0825] When the user first opens the application, the server generates multiple mood options (e.g., "Energetic," "Sad," "Relaxed," "Busy") and stores them in a database. The server also combines the user's selected options with past data and emotional data and inputs them into a generative AI model.

[0826] When the device launches the application, it sends an API request to the server to obtain a question about the user's mood that day and a choice of options. As the user selects an option, the emotion engine analyzes the user's facial expressions and voice to obtain real-time emotional data.

[0827] The user's selected answers and acquired emotional data are sent from the device to a server. The server uses this data to acquire user data such as past purchase history and search history, and inputs this into a generative AI model. The generative AI model then generates personalized themes based on the input data.

[0828] The generated theme is sent from the server to the device and displayed on the device. The theme stored on the device can also be converted into a QR code using a QR code generation library, allowing it to be easily shared with other devices.

[0829] 3. Examples and prompts

[0830] For example, when a user starts an application, the question "How are you feeling today?" is displayed, and options such as "Energetic," "Sad," "Relaxed," and "Busy" are provided. Suppose the user selects "Energetic," and the emotion engine recognizes the emotion of "Happy" from the user's facial expression.

[0831] The following prompt is input to the generative AI model:

[0832] The user selected "Energetic" as their mood for today. Their past search history includes many sports-related products, and the emotion recognition engine detects the emotion of joy. Based on this, please suggest the most suitable product theme.

[0833] Based on this prompt, the generative AI model generates a "Energetic" theme, a bright color theme that highlights sports-related merchandise, which is then displayed on the device for the user to review, select, and apply.

[0834] In this way, the system can generate and instantly update personalized themes that reflect the user's mood and emotions in real time, and also allows themes to be easily shared.

[0835] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0836] Step 1:

[0837] The server generates daily questions and options and stores them in a database. Specifically, the server generates the question "How are you feeling today?" and options such as "Energetic," "Sad," "Relaxed," and "Busy." This data is later retrieved when the device sends a request.

[0838] Input: Current date, preset questions and choices

[0839] Data processing: generating and formatting questions and options

[0840] Output: Questions and options stored in a database

[0841] Step 2:

[0842] When the device launches the application, it sends an API request to the server to retrieve the question and options for the day. The device processes the response to this request and displays the question and options.

[0843] Input: API request (from terminal to server)

[0844] Data processing: Receives response data from the server and converts it into a format that can be displayed on the device.

[0845] Output: The question and choices that are displayed to the user

[0846] Step 3:

[0847] As the user selects an answer from a list of options to answer a question, the emotion engine analyzes the user's facial expressions and voice to obtain real-time emotional data.

[0848] Input: User's selected answer, user's facial expression data and voice data

[0849] Data processing: Analysis of facial expression data and voice data using an emotion engine

[0850] Output: Selected answers and captured sentiment data

[0851] Step 4:

[0852] The device sends the selected answer and emotion data to the server, which also collects the user's past purchase and search history.

[0853] Input: Selected answers and emotion data (from device to server), past user data (in the server database)

[0854] Data processing: Combining multiple choice answers, emotional data, and past data

[0855] Output: The retrieved user dataset

[0856] Step 5:

[0857] The server inputs this data into a generative AI model to generate a theme that best suits the user's mood and emotions. The generative AI model then creates prompts based on this input data and generates themes.

[0858] Input: Selected answers, emotion data, past data (from server to generative AI model)

[0859] Data processing: Data analysis and theme generation using generative AI models

[0860] Output: The generated theme

[0861] Step 6:

[0862] The server formats the generated theme and sends it to the device, where the theme data is formatted to be displayed on the user's device.

[0863] Input: Generated theme data

[0864] Data processing: formatting thematic data and sending it to the terminal

[0865] Output: Theme data that can be displayed on the device

[0866] Step 7:

[0867] The device receives the theme data sent from the server and stores it in a local database. The user can then view the new theme on the theme list screen and select it to apply it.

[0868] Input: Theme data (from server to device)

[0869] Data processing: Saving theme data and displaying it on the list screen

[0870] Output: A list of themes that the user can choose from

[0871] Step 8:

[0872] When a user wants to share a theme with another device, the device generates and displays a QR code using a QR code generation library. Other devices can then scan this QR code to obtain the theme.

[0873] Input: Theme data saved on the device

[0874] Data processing: QR code generation

[0875] Output: The displayed QR code and the theme data are sent to the device that received the share.

[0876] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0877] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0878] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0879] [Third embodiment]

[0880] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0881] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0882] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0883] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0884] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0885] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0886] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0887] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0888] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[0889] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0890] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0891] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0892] This invention relates to a system that generates themes according to the user's mood and displays them on the device. When the user opens the application, the system displays questions about the user's mood that day and the user answers them. The system combines the user's answers with past data to generate themes, and provides functions to display, save, and share them.

[0893] Program processing

[0894] Pop-up display

[0895] The server generates daily questions and options in advance and stores them in a database. For example, a question about today's mood might be generated as "How are you feeling today?", with four options: "Energetic," "Sad," "Relaxed," and "Busy."

[0896] When the device launches the application, it sends an API request to the server to retrieve the questions and options for the day.

[0897] The terminal displays the acquired questions and options to the user as a pop-up window, through which the user selects their mood for the day.

[0898] Examples:

[0899] When a user opens the application, the device sends a request to the server to retrieve the question and options for the day. The device displays a pop-up asking, "How are you feeling today?" and the user can choose from "Energetic," "Sad," "Relaxed," or "Busy."

[0900] Data collection

[0901] The user selects their mood for the day from options in a pop-up window.

[0902] The device records the user's selection and sends it to the server via an API request.

[0903] The server retrieves the received user selection data and the user's past search history from the database.

[0904] Examples:

[0905] The user selects "Energetic." The device temporarily stores this information and sends it to the server. The server then retrieves data related to sports and outdoor activities that the user has previously searched for.

[0906] Theme Generation

[0907] The server uses the user's answers and past data to generate a theme using a generative AI model. For example, if the user selects "energetic" and their past search history includes sports-related data, it generates a "sports theme with energetic colors."

[0908] The server formats the generated theme data and sends it to the terminal.

[0909] Examples:

[0910] The server runs a generative AI model based on the user's response of "energetic" and their past search history to generate a "sports theme with energetic colors." The generated theme is then sent to the device.

[0911] Theme display

[0912] The terminal receives the theme data sent from the server and stores it in a local database.

[0913] Your device will display the new theme on the theme list screen.

[0914] The user checks the displayed themes and selects one to use.

[0915] Examples:

[0916] The device receives the new theme and stores it in the local database. The theme list screen is updated to show the new theme. The user can then select the theme to use.

[0917] Save / Share

[0918] If a user saves a particular theme as a favorite, the device will store up to 10 of those themes in a local database. If there are more than 10, the oldest theme will be deleted.

[0919] When a user shares a theme with another device, the device generates a QR code using a QR code generation library.

[0920] Your device will display a generated QR code that you can scan on other devices to share the theme.

[0921] Examples:

[0922] The user saves a specific theme as a favorite. If 10 themes are already saved, the oldest theme will be deleted. When the user presses the "Share" button, the device generates a QR code and displays it on the screen. Another device can scan the QR code to obtain the theme.

[0923] The system of the present invention generates themes that correspond to the user's mood, and by displaying, saving, and sharing these themes, it is possible to improve user satisfaction and the rate of continued use.

[0924] The processing flow will be explained below.

[0925] Step 1:

[0926] The server generates daily questions and options and stores them in a database. For example, the question "How are you feeling today?" can be asked with options "Energetic," "Sad," "Relaxed," and "Busy."

[0927] Step 2:

[0928] When the device launches the application, it sends an API request to the server to retrieve the question and options for the day.

[0929] Step 3:

[0930] The terminal displays a pop-up window to the user with the retrieved question and options.

[0931] Step 4:

[0932] The user selects the option that best describes the mood of the day in the pop-up window, for example, "feeling good."

[0933] Step 5:

[0934] The device records the user's selection in a local database and sends it to the server as an API request.

[0935] Step 6:

[0936] The server receives the user's response and retrieves the user's past search history and interest data from a database.

[0937] Step 7:

[0938] The server combines the user's answer with past data and passes it to the generative AI model as input. For example, the answer "I'm fine" and sports-related search history are input to the model.

[0939] Step 8:

[0940] Based on the input data, the generative AI model generates themes that match the user's mood, for example, a sports theme with vibrant colors.

[0941] Step 9:

[0942] The server formats the generated theme into a data format (e.g., JSON) and sends it to the device.

[0943] Step 10:

[0944] The terminal receives the theme data sent from the server and stores it in a local database.

[0945] Step 11:

[0946] The device will display the new theme on the theme list screen, allowing the user to view, select, and use the theme.

[0947] Step 12:

[0948] A user presses the "Favorites" button to save a particular theme as a favorite.

[0949] Step 13:

[0950] The device will store up to 10 themes in a local database, and will delete the oldest theme if there are more than 10.

[0951] Step 14:

[0952] To share the theme with other devices, the user presses the "Share" button.

[0953] Step 15:

[0954] The device uses a QR code generation library to convert the data for the selected theme and generate a QR code.

[0955] Step 16:

[0956] The device will display the generated QR code, allowing other devices to scan the QR code and share the theme.

[0957] Example 1

[0958] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0959] Conventional theme generation systems have difficulty generating personalized themes based on a user's mood and past history, and there are limited ways to easily share those themes. This raises concerns about a decline in user satisfaction and continued use. Furthermore, insufficient theme storage and management can lead to problems such as a decline in system performance due to an excess of stored themes.

[0960] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0961] In this invention, the server includes means for presenting a plurality of mood-related options to a user when the user first opens the application, means for recording an answer selected by the user from the options and combining the answer with the user's past data, means for generating a corresponding theme based on the answer and the past data, means for displaying the generated theme on the terminal, means for saving the theme in a database of the terminal and displaying it in a list, and means for sharing the themes saved on the terminal with other terminals. This allows for the generation of an appropriate theme based on the user's mood and past history, facilitating the saving and sharing of themes, and improving user satisfaction and the rate of continued use.

[0962] "User" refers to a person who uses the System or an end user.

[0963] "Terminal" refers to a device or computer that is directly operated by a user, such as a smartphone, tablet, or PC.

[0964] A "server" refers to a computer system that processes requests from user terminals and generates, stores, and transmits data.

[0965] "Application" refers to a software program that a user uses through a terminal.

[0966] The "options" refer to a plurality of possible answers presented to the user, and are used to select the user's mood or situation.

[0967] An "answer" refers to information selected by the user from among the options.

[0968] "Past data" refers to data and history information that the user has used in the past, including search history and past selection information.

[0969] "Themes" refer to designs and customized content generated based on the user's mood and past data.

[0970] A "database" refers to a system that systematically organizes, stores, and manages data.

[0971] An "API request" refers to a data request sent from a terminal to a server, and includes a protocol for accessing a specific endpoint.

[0972] A "generative AI model" is a model that generates data using artificial intelligence algorithms, including machine learning and natural language processing technologies.

[0973] A "QR code" is a means of visually encoding information using a rectangular, two-dimensional barcode that can be scanned by other devices to share data.

[0974] A "prompt" refers to the initial input data or instructions given to a generative AI model, and includes text to guide the output.

[0975] This invention relates to a system that generates themes according to the user's mood and displays, saves, and shares them. When the user opens the application, the system displays questions about the user's mood that day and the user answers them. The system generates themes by combining the user's answers with past data and provides functions to display, save, and share them.

[0976] First, the server generates daily questions and options and stores them in a database. An example question is "How are you feeling today?", with options including "Energetic," "Sad," "Relaxed," and "Busy." This generated data can be retrieved by the device through an API request. Specifically, when the device starts the application, it sends an HTTPS request to the server to retrieve the question and options.

[0977] When a user opens the application, the device displays a pop-up containing questions and options retrieved from the server. The user interface is generated using Swift for iOS and Java for Android. When the user selects their mood for the day from the options, the device temporarily stores that information and sends it to the server. For example, if the user selects "Energetic," the data is sent to the server in JSON format.

[0978] The server receives the user's selection data and retrieves the user's past search history from a database. The search history is retrieved using an SQL query. The server then generates a theme using a generative AI model based on the user's answers and past data. An example of a generative AI model that could be used is OpenAI's GPT-3. Prompts include, "If the user selects the mood 'Energetic' and there is past sports-related data, generate a 'Sports Theme with Energetic Colors'."

[0979] The generated theme is formatted in JSON format and sent to the device. The device saves the received theme in a local database and updates the theme list screen to display the new theme. The user can then view, select, and use the new theme. This provides personalized themes that match the user's individual mood and past history.

[0980] Furthermore, if a user wants to save a theme as a favorite, up to 10 of those themes will be saved in the device's database. If 10 themes are already saved, the oldest theme will be automatically deleted. Also, if a user wants to share a theme with another device, the device will generate a QR code using a QR code generation library (e.g., ZXing). The generated QR code will be displayed on the device, and another device can scan this QR code to obtain the theme.

[0981] This allows the system of the present invention to generate themes that match the user's mood, and by displaying, saving, and sharing these themes, it is possible to improve user satisfaction and the rate of continued use.

[0982] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0983] Specific processing steps of the system program

[0984] Step 1: Create and save questions and options

[0985] The server runs an automated script at a set time each day to generate the questions and options for that day and store them in a database.

[0986] Input: Generator and choice data

[0987] Data processing: Generate choice data randomly or using a specific algorithm and add choices

[0988] Output: The new question and options are saved in the database.

[0989] Step 2: Get the questions and options

[0990] When the application is launched, the device sends an API request to the server to retrieve the question and options for the day.

[0991] Input: Application launch event

[0992] Data processing: Sending an API request to a server endpoint

[0993] Output: Question and choice data returned to terminal

[0994] Step 3: Show the popup

[0995] The terminal displays the acquired questions and options to the user in a pop-up format.

[0996] Input: Question and choice data from the server

[0997] Data processing: Pop-up UI generation

[0998] Output: The user is presented with a popup with the question and options.

[0999] Step 4: Getting and submitting user answers

[1000] The user selects their mood for the day from the options displayed, and the device sends that data to the server via an API.

[1001] Input: User selected data

[1002] Data processing: Convert selected data to JSON format and send it

[1003] Output: User selections sent to the server

[1004] Step 5: Retrieving User Data

[1005] The server retrieves the user's past search history from the database based on the received user selection data and past data.

[1006] Input: User selected data

[1007] Data processing: Retrieving past data using SQL queries

[1008] Output: Obtained past search history data

[1009] Step 6: Generate the Theme

[1010] The server uses a generative AI model to generate themes based on user responses and historical data.

[1011] Input: User response data and past search history data

[1012] Data processing: Theme generation using generative AI models (e.g., GPT-3)

[1013] Output: Generated theme data

[1014] Step 7: Format and submit your theme

[1015] The server formats the generated theme data and sends it to the terminal.

[1016] Input: Generated theme data

[1017] Data processing: Converting theme data to JSON format

[1018] Output: Formatted theme data is sent to the device

[1019] Step 8: Saving and Viewing the Theme

[1020] The device stores the received theme in a local database and displays it on the theme list screen.

[1021] Input: Received theme data

[1022] Data processing: saving to local database and updating UI

[1023] Output: The new theme will be displayed on the list screen.

[1024] Step 9: Select and Apply a Theme

[1025] The user selects and uses a theme from the list screen.

[1026] Input: User selection information

[1027] Data processing: Applying selected themes

[1028] Output: The selected theme is applied to the device.

[1029] Step 10: Saving and Deleting Themes

[1030] Users can save specific themes as favorites, and the device will save up to 10 favorites and delete old themes.

[1031] Input: Theme data the user wants to save

[1032] Data processing: Save to local database, delete old data when a certain number is exceeded

[1033] Output: The theme is saved and the old theme is deleted.

[1034] Step 11: Share your theme

[1035] When a user shares a theme with another device, the device generates and displays a QR code using a QR code generation library.

[1036] Input: User's sharing request

[1037] Data processing: Encoding theme data into QR code

[1038] Output: The generated QR code is displayed on the device.

[1039] (Application example 1)

[1040] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1041] Current applications, such as electronic payment services, do not generate themes that match the user's mood or past usage history, which prevents an improved user experience. Furthermore, the cumbersome task of configuring individual settings for the application discourages users from continuing to use the application. Furthermore, there is no way for users to easily share themes that match their mood with other users.

[1042] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1043] In this invention, the server includes means for presenting a plurality of mood-related options to a user when the user first opens the application, means for recording an answer selected by the user from the options and combining the answer with the user's past data, means for generating a corresponding theme using a generative artificial intelligence model based on the answer and the past data, means for displaying the generated theme on the terminal, and means for sharing the theme stored on the terminal with other terminals together with a prompt text. This allows for easy generation and sharing of themes according to the user's mood, improving the user experience and promoting continued use of the application.

[1044] "Multiple mood choices" refers to multiple options presented to a user for selecting their current mood.

[1045] "User's past data" refers to information about the user's behavior, such as the user's past usage history and search history.

[1046] "Generative artificial intelligence models" refer to algorithms or models used to generate new data or information using machine learning or deep learning.

[1047] A "theme" refers to settings for changing the design, layout, color usage, etc. of an application's user interface.

[1048] A "prompt" refers to an instruction or question displayed to the user to prompt them to input or respond.

[1049] "Device" refers to an electronic device such as a smartphone or tablet on which an application is installed.

[1050] This invention relates to a system that generates themes according to the user's mood and displays, saves, and shares them on the device. This system works by displaying questions about the user's mood for the day when the user opens the application, and the user answers the questions. Details are described below.

[1051] System Configuration

[1052] The system consists of a server, devices (such as smartphones), and users. The server provides an API using Python and Flask, and the database is managed using PostgreSQL with SQLAlchemy. TensorFlow is used for the generative AI model. Client apps are implemented using Kotlin for Android and Swift for iOS.

[1053] Program processing description

[1054] 1. Pop-up display

[1055] When a user launches the application, the device sends an API request to the server to obtain a question and options about the user's mood for the day. The obtained question and options are displayed to the user in a pop-up window. For example, in response to the question "How are you feeling today?", the user can choose from "Energetic," "Sad," "Relaxed," and "Busy."

[1056] 2. Data Collection

[1057] The user selects their mood for the day in a pop-up window. The device temporarily stores this selection data and sends it to the server via API. The server then retrieves the received selection data and past usage history (e.g., search history).

[1058] 3. Theme generation

[1059] The server uses a generative AI model to generate a theme based on the user's selection and past data. For example, if the user selects "Energetic" and there are many colorful themes in the past history, a colorful theme with energetic colors will be generated. The generated theme data is formatted and sent to the device.

[1060] 4. Theme display

[1061] The device receives the theme data sent from the server and stores it in a local database. The new theme is then displayed on the theme list screen. The user can select a theme to apply.

[1062] 5. Save / Share

[1063] Themes can be saved as favorites, and up to 10 themes are stored in a local database. If there are more than 10, the oldest theme will be deleted. The device can also generate QR codes using a QR code generation library to share themes with other devices.

[1064] Specific examples

[1065] When a user opens the application, the device sends a request to the server to get the question "How are you feeling today?" and the options ("Energetic," "Sad," "Relaxed," "Busy"). If the user selects "Energetic," the server generates a "colorful theme with energetic colors" based on this and sends it to the device. The user can then apply the new theme and enjoy the appearance of the application that matches their mood.

[1066] Also, when a user shares this theme with another device, the device generates a QR code, which the other device can simply scan to obtain the theme.

[1067] Using this system, users can easily create, apply, and share themes that suit their daily mood, greatly improving the application experience.

[1068] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1069] Step 1:

[1070] The server generates a question and options (prompt) about the mood of the day and saves them in a database. The server provides the question "How are you feeling today?" with options "Energetic," "Sad," "Relaxed," and "Busy." The input is the server's scheduled task, and the output is the prompt saved in the database.

[1071] Step 2:

[1072] When a user launches the application, the device sends an API request to the server to retrieve the question and options for the day. The device then sends a request to the server, which retrieves the prompt for the day from the database and returns it to the device. The input is the API request to the server, and the output is the question and options for the day.

[1073] Step 3:

[1074] The terminal displays the acquired question and options to the user as a pop-up window. Specifically, the terminal displays the question "How are you feeling today?" and the options "Energetic," "Sad," "Relaxed," and "Busy" on the screen. The input is a prompt from the server, and the output is a pop-up window.

[1075] Step 4:

[1076] The user selects their mood for the day in a popup window. The user taps an option such as "Energetic." The input is the user's selection, and the output is the selected mood.

[1077] Step 5:

[1078] The device temporarily stores the user's selection data and sends it to the server via an API request. The device temporarily stores the selection data in memory and sends it to the server via API. The input is the user's selection data and the output is an API request to the server.

[1079] Step 6:

[1080] The server retrieves the received selection data and the user's past data from the database. The server uses the user's ID as a key to read past search history and other data from the database. The input is the user's selection data, and the output is past data.

[1081] Step 7:

[1082] The server uses a generative AI model to generate themes based on the user's mood and past data. The server uses TensorFlow to run the generative AI model and generate the corresponding theme. The input is the user's mood and past data, and the output is the generated theme data.

[1083] Step 8:

[1084] The generated theme data is sent to the device. The server sends the generated theme data to the device as an API response. The input is the generated theme data, and the output is the API response to the device.

[1085] Step 9:

[1086] The terminal receives new theme data and saves it in the local database. The terminal writes the received theme data to the local storage. The input is theme data from the server, and the output is the saved data in the local database.

[1087] Step 10:

[1088] The device displays the generated theme on the Kisekae list screen. The device displays a preview of the new theme on the Kisekae list screen. The input is theme data from the local database, and the output is the Kisekae list screen.

[1089] Step 11:

[1090] The user selects and applies a displayed theme. The user taps on the theme and presses the apply button. The input is the user's theme selection, and the output is the applied theme.

[1091] Step 12:

[1092] The device stores up to 10 themes in a local database so that users can save specific themes as favorites. If 10 themes are already stored, the oldest theme is deleted. The input is new theme data, and the output is the updated local database.

[1093] Step 13:

[1094] To share themes with other devices, the device uses a library to generate QR codes. The device converts the user's selected theme data into a QR code. The input is the saved theme data, and the output is the generated QR code.

[1095] Step 14:

[1096] A user displays a QR code on another device, and the other user scans the QR code to obtain the theme. The device displays the QR code on its screen, which is then scanned by the other device's camera. The input is the generated QR code, and the output is the completion of theme sharing.

[1097] In this way, a system that generates and shares themes according to the user's mood improves the user experience and encourages continued use of the application.

[1098] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1099] The present invention provides a system for generating and displaying themes based on a user's mood and emotions. The system includes an emotion engine that recognizes the user's emotions, and utilizes emotion data to generate themes with higher accuracy.

[1100] Program processing

[1101] Pop-up display and emotion recognition

[1102] The server generates daily questions and options and stores them in a database. For example, a question about today's mood might be generated as "How are you feeling today?", with four options: "Energetic," "Sad," "Relaxed," and "Busy."

[1103] When the device launches the application, it sends an API request to the server to retrieve the question and options for the day.

[1104] The device displays the acquired questions and options to the user in a pop-up window, and the emotion engine analyzes the user's facial expressions and voice to acquire emotional data in real time.

[1105] Examples:

[1106] When a user opens the application, the device sends a request to the server to retrieve the question and options for the day. The device displays a pop-up asking, "How are you feeling today?", while the emotion engine analyzes the user's facial expressions and voice to obtain emotional data.

[1107] Data collection

[1108] The user selects their mood for the day from a pop-up window, for example, selecting "Energetic."

[1109] The terminal records the selected mood data and transmits it to the server together with the emotion data obtained from the emotion engine.

[1110] In addition to the mood and emotion data received by the server, the server also obtains the user's past search history and interest data from the database.

[1111] Examples:

[1112] The user selects "Energetic." The device sends this information and the emotion data obtained from the emotion engine to the server. The server then obtains data related to sports and outdoor activities that the user has previously searched for.

[1113] Theme Generation

[1114] The server uses the user's answers, past data, and emotional data to input data into the generative AI model. For example, the answer "I'm fine," sports-related search history, and emotional data such as "joy" detected by the emotion engine are input into the model.

[1115] A generative AI model uses this data to generate themes that match the user's mood and emotion, for example a sports theme with vibrant colors.

[1116] The server formats the generated theme data and sends it to the terminal.

[1117] Examples:

[1118] The server runs a generative AI model based on the user's response of "energetic," past search history, and emotional data of "joy," and generates a "sports theme with energetic colors." The generated theme is then sent to the device.

[1119] Theme display

[1120] The terminal receives the theme data sent from the server and stores it in a local database.

[1121] The device will display the new theme on the theme list screen, allowing the user to view, select, and use the theme.

[1122] Examples:

[1123] The device receives the new theme and stores it in the local database. The theme list screen is updated to show the new theme. The user can then select the theme to use.

[1124] Save / Share

[1125] If a user saves a particular theme as a favorite, the device will store up to 10 of those themes in a local database. If there are more than 10, the oldest theme will be deleted.

[1126] When a user shares a theme with another device, the device generates a QR code using a QR code generation library.

[1127] The device will display the generated QR code, allowing other devices to scan the QR code and share the theme.

[1128] Examples:

[1129] The user saves a specific theme as a favorite. If 10 themes are already saved, the oldest theme will be deleted. When the user presses the "Share" button, the device generates a QR code and displays it on the screen. Another device can scan the QR code to obtain the theme.

[1130] The system of the present invention aims to provide a more personalized experience through theme generation based on the user's mood and emotions, thereby increasing user satisfaction and retention.

[1131] The processing flow will be explained below.

[1132] Step 1:

[1133] The server generates daily questions and options and stores them in a database. For example, the question "How are you feeling today?" is provided with options such as "Energetic," "Sad," "Relaxed," and "Busy."

[1134] Step 2:

[1135] When the device launches the application, it sends an API request to the server to retrieve the question and options for the day.

[1136] Step 3:

[1137] The device displays the acquired questions and options to the user in a pop-up window, and at the same time, an emotion engine is activated, analyzing the user's facial expressions and voice in real time to acquire emotional data.

[1138] Step 4:

[1139] The user selects one option from the popup window that best suits their mood for the day. For example, they select "Energetic."

[1140] Step 5:

[1141] The device records the user's selections and the emotion data obtained from the emotion engine, and sends this data to the server as an API request.

[1142] Step 6:

[1143] In addition to the user's responses and emotional data received by the server, the server also obtains the user's past search history and interest data from the database.

[1144] Step 7:

[1145] The server combines the user's answers, emotional data, and past data and inputs them into the generative AI model. For example, the answer "I'm fine," sports-related search history, and the emotional data of "joy" detected by the emotion engine are provided to the model.

[1146] Step 8:

[1147] A generative AI model uses this data to generate themes that match the user's mood and emotion, such as a sports theme with vibrant colors.

[1148] Step 9:

[1149] The server formats the generated theme into a data format (e.g., JSON) and sends it to the device.

[1150] Step 10:

[1151] The terminal receives the theme data sent from the server and stores it in a local database.

[1152] Step 11:

[1153] The device displays the saved themes on the theme list screen, allowing the user to check and select a theme to use.

[1154] Step 12:

[1155] If the user wishes to save a particular theme as a favorite, he or she presses the "Favorite" button.

[1156] Step 13:

[1157] The device will store up to 10 of these themes in a local database, and will delete the oldest theme if there are more than 10.

[1158] Step 14:

[1159] If the user wants to share the theme with other devices, he presses the "Share" button.

[1160] Step 15:

[1161] The device uses a QR code generation library to convert the data for the selected theme into a QR code.

[1162] Step 16:

[1163] The device will display the generated QR code, allowing other devices to obtain the theme by scanning the QR code.

[1164] Examples:

[1165] When a user opens the application, the device sends a request to the server to retrieve the question and options for the day. The device displays a pop-up asking, "How are you feeling today?" while the emotion engine analyzes the user's facial expressions and voice to obtain emotional data in real time.

[1166] When a user selects "Energetic," the device sends this information and emotional data to the server. The server then runs a generative AI model based on the emotional data, along with past search history, to generate a sports theme with energetic colors. The generated theme is sent to the device and displayed on the theme list screen. If the user saves a specific theme as a favorite, the device can store up to 10 themes and share them with other devices using QR codes.

[1167] Example 2

[1168] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1169] Conventional theme generation systems lack the ability to recognize a user's mood and emotions in real time and provide themes based on those emotions. Furthermore, the generated themes may not match the user's emotions, resulting in a lack of a personalized experience. Furthermore, there are limited ways to share themes between devices, leaving a need for improved user experience.

[1170] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for presenting a plurality of mood-related options when the user first opens the application; means for recording an answer selected by the user from the options and combining it with the user's past data; means for inputting a prompt sentence to a response generation engine based on the answer and the past data; means for displaying a theme generated based on the prompt sentence on the terminal; means including an emotion recognition engine for analyzing the user's facial expressions and voice and acquiring emotion data; and means for sharing the theme stored on the terminal with other terminals. This enables the generation of themes that reflect the user's real-time emotion data, thereby providing a personalized experience and enabling the easy sharing of themes between terminals.

[1171] "User" refers to a person who uses a system or application.

[1172] "Application" refers to software that runs on a terminal and provides services to users.

[1173] "Mood" refers to the emotional or mental state a user is feeling at a particular time.

[1174] "Choices" refers to multiple possible answers presented to the user to respond.

[1175] "Means" refers to a method or device for achieving a particular purpose.

[1176] "Historical Data" refers to information previously generated by a user or recorded by a system.

[1177] "Response Generation Engine" means a model or algorithm for generating themes or other responses based on input data.

[1178] "Prompt sentence" refers to instructions or text used as input to a response generation engine.

[1179] A "theme" refers to settings or designs that change the display attributes of a user's applications or devices.

[1180] "Terminal" refers to an electronic device used by a user, such as a computer, smartphone, or tablet.

[1181] An "emotion recognition engine" refers to a model or algorithm for analyzing emotions from a user's facial expressions and voice and acquiring emotional data.

[1182] "Emotion data" refers to data indicating the emotional state of a user obtained by an emotion recognition engine.

[1183] "Share" refers to the operation of sharing a saved theme with other devices or users.

[1184] The present invention is a system for generating and displaying themes based on a user's mood and emotions. The system includes an emotion engine that recognizes the user's emotions and provides a means for utilizing emotion data to achieve highly accurate theme generation.

[1185] The system uses a server, a terminal, and an emotion recognition engine. Here, we will explain the specific process flow and the hardware and software used.

[1186] First, the server generates daily questions and options and stores them in a database. For example, it provides the question "How are you feeling today?" with options such as "Energetic," "Sad," "Relaxed," and "Busy."

[1187] When the device launches the application, it sends an API request to the server to retrieve the question and options for the day. The device displays the retrieved question and options to the user in a pop-up window. At the same time, the emotion recognition engine analyzes the user's facial expressions and voice to obtain emotional data in real time.

[1188] Next, the user selects their mood for the day from a pop-up window. For example, they select "Energetic." The device records this mood data and sends it to the server along with emotion data obtained from the emotion recognition engine. The server then combines the received mood data with the user's past search history and interest data, including the emotion data.

[1189] Next, the server inputs the prompt sentence into the generative AI model based on the user's answer, past data, and emotional data. For example, the answer "I'm fine," sports-related search history, and emotional data such as "joy" detected by the emotion engine are input into the model. An example of a prompt sentence is as follows:

[1190] Example prompt sentence:

[1191] Generate sports-related themes to suit users who are in a lively mood.

[1192] Based on this data, the generative AI model generates a theme that matches the user's mood and emotion, for example, a "sports theme with lively colors." The server formats the generated theme data and sends it to the device.

[1193] The device receives the theme data sent from the server and saves it in a local database. The device displays the new theme on the theme list screen, allowing the user to check, select, and use the theme.

[1194] Furthermore, if a user saves a specific theme as a favorite, the device will store up to 10 of those themes in a local database. If the number of themes exceeds 10, the oldest theme will be deleted. If a user shares a theme with another device, the device will generate a QR code using the QR code generation library. The device will display the generated QR code, and the other device can scan the QR code to share the theme.

[1195] The system of the present invention aims to provide a more personalized experience through theme generation based on the user's mood and emotions, thereby increasing user satisfaction and retention.

[1196] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1197] Step 1: Generate questions and options

[1198] The server generates daily questions and options and stores them in a database. As input, the server uses a fixed template and a question generation algorithm. For example, it generates the question "How are you feeling today?" and options such as "Energetic", "Sad", "Relaxed" and "Busy". The generated questions and options are stored in a database and added to the list of questions for that day. The output is the generated questions and options.

[1199] Step 2: Sending API requests and getting questions

[1200] When the device launches the application, it sends an API request to the server to retrieve the question and options for that day. As input, the device sends user authentication information and a request ID, and the server retrieves the question and options for that day from the target database and returns them as a response. The output is the retrieved question and options.

[1201] Step 3: Displaying the Pop-up Window and Obtaining Emotion Data

[1202] The device displays the acquired questions and options to the user in a pop-up window. At the same time, the emotion recognition engine analyzes the user's facial expressions and voice to acquire emotional data in real time. The input is a live feed from the camera and microphone, and the emotion recognition engine processes this data to analyze the emotional state. The output is the user's selected mood data and the analyzed emotional data.

[1203] Step 4: Choose your mood

[1204] The user selects their mood for the day from a pop-up window. For example, they select "Energetic." The input is a manually selected option, and the device records this data. The output is the user-selected mood data.

[1205] Step 5: Record and send data

[1206] The device records the selected mood data and sends it to the server along with the emotion data obtained from the emotion recognition engine. The input mood data and emotion data are formatted in JSON format and sent to the server as an HTTP request. The output is the data sent to the server.

[1207] Step 6: Obtaining historical data

[1208] In addition to the mood and emotion data received by the server, it also retrieves the user's past search history and interest data from the database. It executes a query using the user ID as input to retrieve past data. The output is the integrated mood, emotion, and past data.

[1209] Step 7: Generate a prompt statement

[1210] The server inputs the user's answers, past data, and emotional data into the generative AI model as a prompt. For example, it generates a prompt such as, "Generate sports-related topics that suit a user who is in a good mood." The inputs are mood data, past search history, and emotional data, and the output is the generated prompt.

[1211] Step 8: Generate the Theme

[1212] Based on this data, a generative AI model generates themes that match the user's mood and emotions. The input is a prompt sentence, which the AI ​​model parses and generates appropriate themes. The output is the generated theme data.

[1213] Step 9: Format and submit theme data

[1214] The server formats the generated theme data and sends it to the device. It takes the generated theme data as input and converts it into a usable format. The output is the theme data sent to the device.

[1215] Step 10: Receive and store theme data

[1216] The terminal receives the theme data sent from the server and stores it in a local database. The input is the theme data, which is stored in the local database. The output is the stored theme data.

[1217] Step 11: Viewing the Theme

[1218] The device displays the new theme on the theme list screen. The input is the saved theme data, which is reflected in the UI. The output is the new theme displayed on the user's display screen.

[1219] Step 12: Save the Theme

[1220] When a user saves a particular theme as a favorite, the device stores that theme in a local database, up to a maximum of 10 times. The input is a save request, and multiple themes are managed in the local database. The output is the saved theme.

[1221] Step 13: Generate and share a QR code

[1222] When a user shares a theme with another device, the device generates a QR code using a QR code generation library and displays the QR code. The input is the theme data, and the QR code is generated. The output is the generated QR code.

[1223] Step 14: Scan the QR code

[1224] Themes are shared by other devices by scanning the QR code. The input is a QR code scanned with a camera, and the scanned data is interpreted as theme data. The output is the shared theme.

[1225] (Application example 2)

[1226] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1227] Conventional theme generation systems have difficulty in fully reflecting the user's mood and emotions, making it difficult to provide a personalized experience. Furthermore, there are insufficient methods for easily sharing generated themes with other devices. Furthermore, updating themes in real time in response to changes in the user's emotions has also been a challenge.

[1228] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for presenting a plurality of mood-related options to the user when the user first opens the application, means for recording the answer selected by the user from the options and combining the user's past data and emotional data, means for generating a corresponding theme using a generative AI model based on the answer, the past data, and the emotional data, means for displaying the generated theme on the terminal, and means for generating a QR code for sharing the theme stored on the terminal with other terminals. This enables the generation and immediate updating of personalized themes that reflect the user's moods and emotions in real time, and also makes it easy to share themes.

[1229] "User" refers to an individual or organization that uses the System.

[1230] "Application" refers to a software program installed and used by a user on a terminal.

[1231] "Multiple mood options" refers to multiple options (e.g., energetic, sad, relaxed, busy) that allow a user to confirm their current feelings or state.

[1232] An "answer" refers to a selection made by a user from mood-related options.

[1233] "Past data" refers to records of a user's past actions (e.g., purchase history, search history).

[1234] "Emotion data" refers to data that represents the user's current emotional state, analyzed from facial expressions, voice, etc.

[1235] A "generative AI model" refers to an artificial intelligence model that generates themes based on input data (answers, past data, emotional data).

[1236] A "theme" refers to a collection of specific visual and content elements generated based on the user's mood or emotion.

[1237] "Device" refers to a device on which the application is installed, such as a smartphone, tablet, or PC.

[1238] "Display means" refers to a function for visually presenting the generated theme on the screen of a terminal.

[1239] "Means for generating a QR code for sharing" refers to technology for generating a QR code for sharing the generated theme with other devices.

[1240] The present invention is a system that generates specific themes based on the user's mood and emotions, and can display and share these themes. Specific embodiments are described below.

[1241] System Embodiments

[1242] 1. Hardware and Software

[1243] Device: The device used by the user, such as a smartphone, tablet, or computer.

[1244] Server: Cloud-based server such as AWS EC2, Microsoft Azure, etc.

[1245] Emotion Engine: Emotion recognition tools such as OpenCV, DLib, Emotion API.

[1246] Generative AI models: Deep learning models such as TensorFlow and PyTorch.

[1247] QR code generation library: qrcode (library for Python), etc.

[1248] 2. System Components and Data Calculations

[1249] When the user first opens the application, the server generates multiple mood options (e.g., "Energetic," "Sad," "Relaxed," "Busy") and stores them in a database. The server also combines the user's selected options with past data and emotional data and inputs them into a generative AI model.

[1250] When the device launches the application, it sends an API request to the server to obtain a question about the user's mood that day and a choice of options. As the user selects an option, the emotion engine analyzes the user's facial expressions and voice to obtain real-time emotional data.

[1251] The user's selected answers and acquired emotional data are sent from the device to a server. The server uses this data to acquire user data such as past purchase history and search history, and inputs this into a generative AI model. The generative AI model then generates personalized themes based on the input data.

[1252] The generated theme is sent from the server to the device and displayed on the device. The theme stored on the device can also be converted into a QR code using a QR code generation library, allowing it to be easily shared with other devices.

[1253] 3. Examples and prompts

[1254] For example, when a user starts an application, the question "How are you feeling today?" is displayed, and options such as "Energetic," "Sad," "Relaxed," and "Busy" are provided. Suppose the user selects "Energetic," and the emotion engine recognizes the emotion of "Happy" from the user's facial expression.

[1255] The following prompt is input to the generative AI model:

[1256] The user selected "Energetic" as their mood for today. Their past search history includes many sports-related products, and the emotion recognition engine detects the emotion of joy. Based on this, please suggest the most suitable product theme.

[1257] Based on this prompt, the generative AI model generates a "Energetic" theme, a bright color theme that highlights sports-related merchandise, which is then displayed on the device for the user to review, select, and apply.

[1258] In this way, the system can generate and instantly update personalized themes that reflect the user's mood and emotions in real time, and also allows themes to be easily shared.

[1259] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1260] Step 1:

[1261] The server generates daily questions and options and stores them in a database. Specifically, the server generates the question "How are you feeling today?" and options such as "Energetic," "Sad," "Relaxed," and "Busy." This data is later retrieved when the device sends a request.

[1262] Input: Current date, preset questions and choices

[1263] Data processing: generating and formatting questions and options

[1264] Output: Questions and options stored in a database

[1265] Step 2:

[1266] When the device launches the application, it sends an API request to the server to retrieve the question and options for the day. The device processes the response to this request and displays the question and options.

[1267] Input: API request (from terminal to server)

[1268] Data processing: Receives response data from the server and converts it into a format that can be displayed on the device.

[1269] Output: The question and choices that are displayed to the user

[1270] Step 3:

[1271] As the user selects an answer from a list of options to answer a question, the emotion engine analyzes the user's facial expressions and voice to obtain real-time emotional data.

[1272] Input: User's selected answer, user's facial expression data and voice data

[1273] Data processing: Analysis of facial expression data and voice data using an emotion engine

[1274] Output: Selected answers and captured sentiment data

[1275] Step 4:

[1276] The device sends the selected answer and emotion data to the server, which also collects the user's past purchase and search history.

[1277] Input: Selected answers and emotion data (from device to server), past user data (in the server database)

[1278] Data processing: Combining multiple choice answers, emotional data, and past data

[1279] Output: The retrieved user dataset

[1280] Step 5:

[1281] The server inputs this data into a generative AI model to generate a theme that best suits the user's mood and emotions. The generative AI model then creates prompts based on this input data and generates themes.

[1282] Input: Selected answers, emotion data, past data (from server to generative AI model)

[1283] Data processing: Data analysis and theme generation using generative AI models

[1284] Output: The generated theme

[1285] Step 6:

[1286] The server formats the generated theme and sends it to the device, where the theme data is formatted to be displayed on the user's device.

[1287] Input: Generated theme data

[1288] Data processing: formatting thematic data and sending it to the terminal

[1289] Output: Theme data that can be displayed on the device

[1290] Step 7:

[1291] The device receives the theme data sent from the server and stores it in a local database. The user can then view the new theme on the theme list screen and select it to apply it.

[1292] Input: Theme data (from server to device)

[1293] Data processing: Saving theme data and displaying it on the list screen

[1294] Output: A list of themes that the user can choose from

[1295] Step 8:

[1296] When a user wants to share a theme with another device, the device generates and displays a QR code using a QR code generation library. Other devices can then scan this QR code to obtain the theme.

[1297] Input: Theme data saved on the device

[1298] Data processing: QR code generation

[1299] Output: The displayed QR code and the theme data are sent to the device that received the share.

[1300] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1301] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1302] 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 the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1303] [Fourth embodiment]

[1304] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1305] 7, a 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.

[1306] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1307] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1308] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1309] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1310] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1311] The control object 443 includes a display device, LEDs in the eyes, and motors for driving 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 emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1312] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1313] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[1314] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1315] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1316] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1317] This invention relates to a system that generates themes according to the user's mood and displays them on the device. When the user opens the application, the system displays questions about the user's mood that day and the user answers them. The system combines the user's answers with past data to generate themes, and provides functions to display, save, and share them.

[1318] Program processing

[1319] Pop-up display

[1320] The server generates daily questions and options in advance and stores them in a database. For example, a question about today's mood might be generated as "How are you feeling today?", with four options: "Energetic," "Sad," "Relaxed," and "Busy."

[1321] When the device launches the application, it sends an API request to the server to retrieve the questions and options for the day.

[1322] The terminal displays the acquired questions and options to the user as a pop-up window, through which the user selects their mood for the day.

[1323] Examples:

[1324] When a user opens the application, the device sends a request to the server to retrieve the question and options for the day. The device displays a pop-up asking, "How are you feeling today?" and the user can choose from "Energetic," "Sad," "Relaxed," or "Busy."

[1325] Data collection

[1326] The user selects their mood for the day from options in a pop-up window.

[1327] The device records the user's selection and sends it to the server via an API request.

[1328] The server retrieves the received user selection data and the user's past search history from the database.

[1329] Examples:

[1330] The user selects "Energetic." The device temporarily stores this information and sends it to the server. The server then retrieves data related to sports and outdoor activities that the user has previously searched for.

[1331] Theme Generation

[1332] The server uses the user's answers and past data to generate a theme using a generative AI model. For example, if the user selects "energetic" and their past search history includes sports-related data, it generates a "sports theme with energetic colors."

[1333] The server formats the generated theme data and sends it to the terminal.

[1334] Examples:

[1335] The server runs a generative AI model based on the user's response of "energetic" and their past search history to generate a "sports theme with energetic colors." The generated theme is then sent to the device.

[1336] Theme display

[1337] The terminal receives the theme data sent from the server and stores it in a local database.

[1338] Your device will display the new theme on the theme list screen.

[1339] The user checks the displayed themes and selects one to use.

[1340] Examples:

[1341] The device receives the new theme and stores it in the local database. The theme list screen is updated to show the new theme. The user can then select the theme to use.

[1342] Save / Share

[1343] If a user saves a particular theme as a favorite, the device will store up to 10 of those themes in a local database. If there are more than 10, the oldest theme will be deleted.

[1344] When a user shares a theme with another device, the device generates a QR code using a QR code generation library.

[1345] Your device will display a generated QR code that you can scan on other devices to share the theme.

[1346] Examples:

[1347] The user saves a specific theme as a favorite. If 10 themes are already saved, the oldest theme will be deleted. When the user presses the "Share" button, the device generates a QR code and displays it on the screen. Another device can scan the QR code to obtain the theme.

[1348] The system of the present invention generates themes that correspond to the user's mood, and by displaying, saving, and sharing these themes, it is possible to improve user satisfaction and the rate of continued use.

[1349] The processing flow will be explained below.

[1350] Step 1:

[1351] The server generates daily questions and options and stores them in a database. For example, the question "How are you feeling today?" can be asked with options "Energetic," "Sad," "Relaxed," and "Busy."

[1352] Step 2:

[1353] When the device launches the application, it sends an API request to the server to retrieve the question and options for the day.

[1354] Step 3:

[1355] The terminal displays a pop-up window to the user with the retrieved question and options.

[1356] Step 4:

[1357] The user selects the option that best describes the mood of the day in the pop-up window, for example, "feeling good."

[1358] Step 5:

[1359] The device records the user's selection in a local database and sends it to the server as an API request.

[1360] Step 6:

[1361] The server receives the user's response and retrieves the user's past search history and interest data from a database.

[1362] Step 7:

[1363] The server combines the user's answer with past data and passes it to the generative AI model as input. For example, the answer "I'm fine" and sports-related search history are input to the model.

[1364] Step 8:

[1365] Based on the input data, the generative AI model generates themes that match the user's mood, for example, a sports theme with vibrant colors.

[1366] Step 9:

[1367] The server formats the generated theme into a data format (e.g., JSON) and sends it to the device.

[1368] Step 10:

[1369] The terminal receives the theme data sent from the server and stores it in a local database.

[1370] Step 11:

[1371] The device will display the new theme on the theme list screen, allowing the user to view, select, and use the theme.

[1372] Step 12:

[1373] A user presses the "Favorites" button to save a particular theme as a favorite.

[1374] Step 13:

[1375] The device will store up to 10 themes in a local database, and will delete the oldest theme if there are more than 10.

[1376] Step 14:

[1377] To share the theme with other devices, the user presses the "Share" button.

[1378] Step 15:

[1379] The device uses a QR code generation library to convert the data for the selected theme and generate a QR code.

[1380] Step 16:

[1381] The device will display the generated QR code, allowing other devices to scan the QR code and share the theme.

[1382] Example 1

[1383] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1384] Conventional theme generation systems have difficulty generating personalized themes based on a user's mood and past history, and there are limited ways to easily share those themes. This raises concerns about a decline in user satisfaction and continued use. Furthermore, insufficient theme storage and management can lead to problems such as a decline in system performance due to an excess of stored themes.

[1385] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1386] In this invention, the server includes means for presenting a plurality of mood-related options to a user when the user first opens the application, means for recording an answer selected by the user from the options and combining the answer with the user's past data, means for generating a corresponding theme based on the answer and the past data, means for displaying the generated theme on the terminal, means for saving the theme in a database of the terminal and displaying it in a list, and means for sharing the themes saved on the terminal with other terminals. This allows for the generation of an appropriate theme based on the user's mood and past history, facilitating the saving and sharing of themes, and improving user satisfaction and the rate of continued use.

[1387] "User" refers to a person who uses the System or an end user.

[1388] "Terminal" refers to a device or computer that is directly operated by a user, such as a smartphone, tablet, or PC.

[1389] A "server" refers to a computer system that processes requests from user terminals and generates, stores, and transmits data.

[1390] "Application" refers to a software program that a user uses through a terminal.

[1391] The "options" refer to a plurality of possible answers presented to the user, and are used to select the user's mood or situation.

[1392] An "answer" refers to information selected by the user from among the options.

[1393] "Past data" refers to data and history information that the user has used in the past, including search history and past selection information.

[1394] "Themes" refer to designs and customized content generated based on the user's mood and past data.

[1395] A "database" refers to a system that systematically organizes, stores, and manages data.

[1396] An "API request" refers to a data request sent from a terminal to a server, and includes a protocol for accessing a specific endpoint.

[1397] A "generative AI model" is a model that generates data using artificial intelligence algorithms, including machine learning and natural language processing technologies.

[1398] A "QR code" is a means of visually encoding information using a rectangular, two-dimensional barcode that can be scanned by other devices to share data.

[1399] A "prompt" refers to the initial input data or instructions given to a generative AI model, and includes text to guide the output.

[1400] This invention relates to a system that generates themes according to the user's mood and displays, saves, and shares them. When the user opens the application, the system displays questions about the user's mood that day and the user answers them. The system generates themes by combining the user's answers with past data and provides functions to display, save, and share them.

[1401] First, the server generates daily questions and options and stores them in a database. An example question is "How are you feeling today?", with options including "Energetic," "Sad," "Relaxed," and "Busy." This generated data can be retrieved by the device through an API request. Specifically, when the device starts the application, it sends an HTTPS request to the server to retrieve the question and options.

[1402] When a user opens the application, the device displays a pop-up containing questions and options retrieved from the server. The user interface is generated using Swift for iOS and Java for Android. When the user selects their mood for the day from the options, the device temporarily stores that information and sends it to the server. For example, if the user selects "Energetic," the data is sent to the server in JSON format.

[1403] The server receives the user's selection data and retrieves the user's past search history from a database. The search history is retrieved using an SQL query. The server then generates a theme using a generative AI model based on the user's answers and past data. An example of a generative AI model that could be used is OpenAI's GPT-3. Prompts include, "If the user selects the mood 'Energetic' and there is past sports-related data, generate a 'Sports Theme with Energetic Colors'."

[1404] The generated theme is formatted in JSON format and sent to the device. The device saves the received theme in a local database and updates the theme list screen to display the new theme. The user can then view, select, and use the new theme. This provides personalized themes that match the user's individual mood and past history.

[1405] Furthermore, if a user wants to save a theme as a favorite, up to 10 of those themes will be saved in the device's database. If 10 themes are already saved, the oldest theme will be automatically deleted. Also, if a user wants to share a theme with another device, the device will generate a QR code using a QR code generation library (e.g., ZXing). The generated QR code will be displayed on the device, and another device can scan this QR code to obtain the theme.

[1406] This allows the system of the present invention to generate themes that match the user's mood, and by displaying, saving, and sharing these themes, it is possible to improve user satisfaction and the rate of continued use.

[1407] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1408] Specific processing steps of the system program

[1409] Step 1: Create and save questions and options

[1410] The server runs an automated script at a set time each day to generate the questions and options for that day and store them in a database.

[1411] Input: Generator and choice data

[1412] Data processing: Generate choice data randomly or using a specific algorithm and add choices

[1413] Output: The new question and options are saved in the database.

[1414] Step 2: Get the questions and options

[1415] When the application is launched, the device sends an API request to the server to retrieve the question and options for the day.

[1416] Input: Application launch event

[1417] Data processing: Sending an API request to a server endpoint

[1418] Output: Question and choice data returned to terminal

[1419] Step 3: Show the popup

[1420] The terminal displays the acquired questions and options to the user in a pop-up format.

[1421] Input: Question and choice data from the server

[1422] Data processing: Pop-up UI generation

[1423] Output: The user is presented with a popup with the question and options.

[1424] Step 4: Getting and submitting user answers

[1425] The user selects their mood for the day from the options displayed, and the device sends that data to the server via an API.

[1426] Input: User selected data

[1427] Data processing: Convert selected data to JSON format and send it

[1428] Output: User selections sent to the server

[1429] Step 5: Retrieving User Data

[1430] The server retrieves the user's past search history from the database based on the received user selection data and past data.

[1431] Input: User selected data

[1432] Data processing: Retrieving past data using SQL queries

[1433] Output: Obtained past search history data

[1434] Step 6: Generate the Theme

[1435] The server uses a generative AI model to generate themes based on user responses and historical data.

[1436] Input: User response data and past search history data

[1437] Data processing: Theme generation using generative AI models (e.g., GPT-3)

[1438] Output: Generated theme data

[1439] Step 7: Format and submit your theme

[1440] The server formats the generated theme data and sends it to the terminal.

[1441] Input: Generated theme data

[1442] Data processing: Converting theme data to JSON format

[1443] Output: Formatted theme data is sent to the device

[1444] Step 8: Saving and Viewing the Theme

[1445] The device stores the received theme in a local database and displays it on the theme list screen.

[1446] Input: Received theme data

[1447] Data processing: saving to local database and updating UI

[1448] Output: The new theme will be displayed on the list screen.

[1449] Step 9: Select and Apply a Theme

[1450] The user selects and uses a theme from the list screen.

[1451] Input: User selection information

[1452] Data processing: Applying selected themes

[1453] Output: The selected theme is applied to the device.

[1454] Step 10: Saving and Deleting Themes

[1455] Users can save specific themes as favorites, and the device will save up to 10 favorites and delete old themes.

[1456] Input: Theme data the user wants to save

[1457] Data processing: Save to local database, delete old data when a certain number is exceeded

[1458] Output: The theme is saved and the old theme is deleted.

[1459] Step 11: Share your theme

[1460] When a user shares a theme with another device, the device generates and displays a QR code using a QR code generation library.

[1461] Input: User's sharing request

[1462] Data processing: Encoding theme data into QR code

[1463] Output: The generated QR code is displayed on the device.

[1464] (Application example 1)

[1465] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1466] Current applications, such as electronic payment services, do not generate themes that match the user's mood or past usage history, which prevents an improved user experience. Furthermore, the cumbersome task of configuring individual settings for the application discourages users from continuing to use the application. Furthermore, there is no way for users to easily share themes that match their mood with other users.

[1467] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1468] In this invention, the server includes means for presenting a plurality of mood-related options to a user when the user first opens the application, means for recording an answer selected by the user from the options and combining the answer with the user's past data, means for generating a corresponding theme using a generative artificial intelligence model based on the answer and the past data, means for displaying the generated theme on the terminal, and means for sharing the theme stored on the terminal with other terminals together with a prompt text. This allows for easy generation and sharing of themes according to the user's mood, improving the user experience and promoting continued use of the application.

[1469] "Multiple mood choices" refers to multiple options presented to a user for selecting their current mood.

[1470] "User's past data" refers to information about the user's behavior, such as the user's past usage history and search history.

[1471] "Generative artificial intelligence models" refer to algorithms or models used to generate new data or information using machine learning or deep learning.

[1472] A "theme" refers to settings for changing the design, layout, color usage, etc. of an application's user interface.

[1473] A "prompt" refers to an instruction or question displayed to the user to prompt them to input or respond.

[1474] "Device" refers to an electronic device such as a smartphone or tablet on which an application is installed.

[1475] This invention relates to a system that generates themes according to the user's mood and displays, saves, and shares them on the device. This system works by displaying questions about the user's mood for the day when the user opens the application, and the user answers the questions. Details are described below.

[1476] System Configuration

[1477] The system consists of a server, devices (such as smartphones), and users. The server provides an API using Python and Flask, and the database is managed using PostgreSQL with SQLAlchemy. TensorFlow is used for the generative AI model. Client apps are implemented using Kotlin for Android and Swift for iOS.

[1478] Program processing description

[1479] 1. Pop-up display

[1480] When a user launches the application, the device sends an API request to the server to obtain a question and options about the user's mood for the day. The obtained question and options are displayed to the user in a pop-up window. For example, in response to the question "How are you feeling today?", the user can choose from "Energetic," "Sad," "Relaxed," and "Busy."

[1481] 2. Data Collection

[1482] The user selects their mood for the day in a pop-up window. The device temporarily stores this selection data and sends it to the server via API. The server then retrieves the received selection data and past usage history (e.g., search history).

[1483] 3. Theme generation

[1484] The server uses a generative AI model to generate a theme based on the user's selection and past data. For example, if the user selects "Energetic" and there are many colorful themes in the past history, a colorful theme with energetic colors will be generated. The generated theme data is formatted and sent to the device.

[1485] 4. Theme display

[1486] The device receives the theme data sent from the server and stores it in a local database. The new theme is then displayed on the theme list screen. The user can select a theme to apply.

[1487] 5. Save / Share

[1488] Themes can be saved as favorites, and up to 10 themes are stored in a local database. If there are more than 10, the oldest theme will be deleted. The device can also generate QR codes using a QR code generation library to share themes with other devices.

[1489] Specific examples

[1490] When a user opens the application, the device sends a request to the server to get the question "How are you feeling today?" and the options ("Energetic," "Sad," "Relaxed," "Busy"). If the user selects "Energetic," the server generates a "colorful theme with energetic colors" based on this and sends it to the device. The user can then apply the new theme and enjoy the appearance of the application that matches their mood.

[1491] Also, when a user shares this theme with another device, the device generates a QR code, which the other device can simply scan to obtain the theme.

[1492] Using this system, users can easily create, apply, and share themes that suit their daily mood, greatly improving the application experience.

[1493] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1494] Step 1:

[1495] The server generates a question and options (prompt) about the mood of the day and saves them in a database. The server provides the question "How are you feeling today?" with options "Energetic," "Sad," "Relaxed," and "Busy." The input is the server's scheduled task, and the output is the prompt saved in the database.

[1496] Step 2:

[1497] When a user launches the application, the device sends an API request to the server to retrieve the question and options for the day. The device then sends a request to the server, which retrieves the prompt for the day from the database and returns it to the device. The input is the API request to the server, and the output is the question and options for the day.

[1498] Step 3:

[1499] The terminal displays the acquired question and options to the user as a pop-up window. Specifically, the terminal displays the question "How are you feeling today?" and the options "Energetic," "Sad," "Relaxed," and "Busy" on the screen. The input is a prompt from the server, and the output is a pop-up window.

[1500] Step 4:

[1501] The user selects their mood for the day in a popup window. The user taps an option such as "Energetic." The input is the user's selection, and the output is the selected mood.

[1502] Step 5:

[1503] The device temporarily stores the user's selection data and sends it to the server via an API request. The device temporarily stores the selection data in memory and sends it to the server via API. The input is the user's selection data and the output is an API request to the server.

[1504] Step 6:

[1505] The server retrieves the received selection data and the user's past data from the database. The server uses the user's ID as a key to read past search history and other data from the database. The input is the user's selection data, and the output is past data.

[1506] Step 7:

[1507] The server uses a generative AI model to generate themes based on the user's mood and past data. The server uses TensorFlow to run the generative AI model and generate the corresponding theme. The input is the user's mood and past data, and the output is the generated theme data.

[1508] Step 8:

[1509] The generated theme data is sent to the device. The server sends the generated theme data to the device as an API response. The input is the generated theme data, and the output is the API response to the device.

[1510] Step 9:

[1511] The terminal receives new theme data and saves it in the local database. The terminal writes the received theme data to the local storage. The input is theme data from the server, and the output is the saved data in the local database.

[1512] Step 10:

[1513] The device displays the generated theme on the Kisekae list screen. The device displays a preview of the new theme on the Kisekae list screen. The input is theme data from the local database, and the output is the Kisekae list screen.

[1514] Step 11:

[1515] The user selects and applies a displayed theme. The user taps on the theme and presses the apply button. The input is the user's theme selection, and the output is the applied theme.

[1516] Step 12:

[1517] The device stores up to 10 themes in a local database so that users can save specific themes as favorites. If 10 themes are already stored, the oldest theme is deleted. The input is new theme data, and the output is the updated local database.

[1518] Step 13:

[1519] To share themes with other devices, the device uses a library to generate QR codes. The device converts the user's selected theme data into a QR code. The input is the saved theme data, and the output is the generated QR code.

[1520] Step 14:

[1521] A user displays a QR code on another device, and the other user scans the QR code to obtain the theme. The device displays the QR code on its screen, which is then scanned by the other device's camera. The input is the generated QR code, and the output is the completion of theme sharing.

[1522] In this way, a system that generates and shares themes according to the user's mood improves the user experience and encourages continued use of the application.

[1523] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1524] The present invention provides a system for generating and displaying themes based on a user's mood and emotions. The system includes an emotion engine that recognizes the user's emotions, and utilizes emotion data to generate themes with higher accuracy.

[1525] Program processing

[1526] Pop-up display and emotion recognition

[1527] The server generates daily questions and options and stores them in a database. For example, a question about today's mood might be generated as "How are you feeling today?", with four options: "Energetic," "Sad," "Relaxed," and "Busy."

[1528] When the device launches the application, it sends an API request to the server to retrieve the question and options for the day.

[1529] The device displays the acquired questions and options to the user in a pop-up window, and the emotion engine analyzes the user's facial expressions and voice to acquire emotional data in real time.

[1530] Examples:

[1531] When a user opens the application, the device sends a request to the server to retrieve the question and options for the day. The device displays a pop-up asking, "How are you feeling today?", while the emotion engine analyzes the user's facial expressions and voice to obtain emotional data.

[1532] Data collection

[1533] The user selects their mood for the day from a pop-up window, for example, selecting "Energetic."

[1534] The terminal records the selected mood data and transmits it to the server together with the emotion data obtained from the emotion engine.

[1535] In addition to the mood and emotion data received by the server, the server also obtains the user's past search history and interest data from the database.

[1536] Examples:

[1537] The user selects "Energetic." The device sends this information and the emotion data obtained from the emotion engine to the server. The server then obtains data related to sports and outdoor activities that the user has previously searched for.

[1538] Theme Generation

[1539] The server uses the user's answers, past data, and emotional data to input data into the generative AI model. For example, the answer "I'm fine," sports-related search history, and emotional data such as "joy" detected by the emotion engine are input into the model.

[1540] A generative AI model uses this data to generate themes that match the user's mood and emotion, for example a sports theme with vibrant colors.

[1541] The server formats the generated theme data and sends it to the terminal.

[1542] Examples:

[1543] The server runs a generative AI model based on the user's response of "energetic," past search history, and emotional data of "joy," and generates a "sports theme with energetic colors." The generated theme is then sent to the device.

[1544] Theme display

[1545] The terminal receives the theme data sent from the server and stores it in a local database.

[1546] The device will display the new theme on the theme list screen, allowing the user to view, select, and use the theme.

[1547] Examples:

[1548] The device receives the new theme and stores it in the local database. The theme list screen is updated to show the new theme. The user can then select the theme to use.

[1549] Save / Share

[1550] If a user saves a particular theme as a favorite, the device will store up to 10 of those themes in a local database. If there are more than 10, the oldest theme will be deleted.

[1551] When a user shares a theme with another device, the device generates a QR code using a QR code generation library.

[1552] The device will display the generated QR code, allowing other devices to scan the QR code and share the theme.

[1553] Examples:

[1554] The user saves a specific theme as a favorite. If 10 themes are already saved, the oldest theme will be deleted. When the user presses the "Share" button, the device generates a QR code and displays it on the screen. Another device can scan the QR code to obtain the theme.

[1555] The system of the present invention aims to provide a more personalized experience through theme generation based on the user's mood and emotions, thereby increasing user satisfaction and retention.

[1556] The processing flow will be explained below.

[1557] Step 1:

[1558] The server generates daily questions and options and stores them in a database. For example, the question "How are you feeling today?" is provided with options such as "Energetic," "Sad," "Relaxed," and "Busy."

[1559] Step 2:

[1560] When the device launches the application, it sends an API request to the server to retrieve the question and options for the day.

[1561] Step 3:

[1562] The device displays the acquired questions and options to the user in a pop-up window, and at the same time, an emotion engine is activated, analyzing the user's facial expressions and voice in real time to acquire emotional data.

[1563] Step 4:

[1564] The user selects one option from the popup window that best suits their mood for the day. For example, they select "Energetic."

[1565] Step 5:

[1566] The device records the user's selections and the emotion data obtained from the emotion engine, and sends this data to the server as an API request.

[1567] Step 6:

[1568] In addition to the user's responses and emotional data received by the server, the server also obtains the user's past search history and interest data from the database.

[1569] Step 7:

[1570] The server combines the user's answers, emotional data, and past data and inputs them into the generative AI model. For example, the answer "I'm fine," sports-related search history, and the emotional data of "joy" detected by the emotion engine are provided to the model.

[1571] Step 8:

[1572] A generative AI model uses this data to generate themes that match the user's mood and emotion, such as a sports theme with vibrant colors.

[1573] Step 9:

[1574] The server formats the generated theme into a data format (e.g., JSON) and sends it to the device.

[1575] Step 10:

[1576] The terminal receives the theme data sent from the server and stores it in a local database.

[1577] Step 11:

[1578] The device displays the saved themes on the theme list screen, allowing the user to check and select a theme to use.

[1579] Step 12:

[1580] If the user wishes to save a particular theme as a favorite, he or she presses the "Favorite" button.

[1581] Step 13:

[1582] The device will store up to 10 of these themes in a local database, and will delete the oldest theme if there are more than 10.

[1583] Step 14:

[1584] If the user wants to share the theme with other devices, he presses the "Share" button.

[1585] Step 15:

[1586] The device uses a QR code generation library to convert the data for the selected theme into a QR code.

[1587] Step 16:

[1588] The device will display the generated QR code, allowing other devices to obtain the theme by scanning the QR code.

[1589] Examples:

[1590] When a user opens the application, the device sends a request to the server to retrieve the question and options for the day. The device displays a pop-up asking, "How are you feeling today?" while the emotion engine analyzes the user's facial expressions and voice to obtain emotional data in real time.

[1591] When a user selects "Energetic," the device sends this information and emotional data to the server. The server then runs a generative AI model based on the emotional data, along with past search history, to generate a sports theme with energetic colors. The generated theme is sent to the device and displayed on the theme list screen. If the user saves a specific theme as a favorite, the device can store up to 10 themes and share them with other devices using QR codes.

[1592] Example 2

[1593] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1594] Conventional theme generation systems lack the ability to recognize a user's mood and emotions in real time and provide themes based on those emotions. Furthermore, the generated themes may not match the user's emotions, resulting in a lack of a personalized experience. Furthermore, there are limited ways to share themes between devices, leaving a need for improved user experience.

[1595] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for presenting a plurality of mood-related options when the user first opens the application; means for recording an answer selected by the user from the options and combining it with the user's past data; means for inputting a prompt sentence to a response generation engine based on the answer and the past data; means for displaying a theme generated based on the prompt sentence on the terminal; means including an emotion recognition engine for analyzing the user's facial expressions and voice and acquiring emotion data; and means for sharing the theme stored on the terminal with other terminals. This enables the generation of themes that reflect the user's real-time emotion data, thereby providing a personalized experience and enabling the easy sharing of themes between terminals.

[1596] "User" refers to a person who uses a system or application.

[1597] "Application" refers to software that runs on a terminal and provides services to users.

[1598] "Mood" refers to the emotional or mental state a user is feeling at a particular time.

[1599] "Choices" refers to multiple possible answers presented to the user to respond.

[1600] "Means" refers to a method or device for achieving a particular purpose.

[1601] "Historical Data" refers to information previously generated by a user or recorded by a system.

[1602] "Response Generation Engine" means a model or algorithm for generating themes or other responses based on input data.

[1603] "Prompt sentence" refers to instructions or text used as input to a response generation engine.

[1604] A "theme" refers to settings or designs that change the display attributes of a user's applications or devices.

[1605] "Terminal" refers to an electronic device used by a user, such as a computer, smartphone, or tablet.

[1606] An "emotion recognition engine" refers to a model or algorithm for analyzing emotions from a user's facial expressions and voice and acquiring emotional data.

[1607] "Emotion data" refers to data indicating the emotional state of a user obtained by an emotion recognition engine.

[1608] "Share" refers to the operation of sharing a saved theme with other devices or users.

[1609] The present invention is a system for generating and displaying themes based on a user's mood and emotions. The system includes an emotion engine that recognizes the user's emotions and provides a means for utilizing emotion data to achieve highly accurate theme generation.

[1610] The system uses a server, a terminal, and an emotion recognition engine. Here, we will explain the specific process flow and the hardware and software used.

[1611] First, the server generates daily questions and options and stores them in a database. For example, it provides the question "How are you feeling today?" with options such as "Energetic," "Sad," "Relaxed," and "Busy."

[1612] When the device launches the application, it sends an API request to the server to retrieve the question and options for the day. The device displays the retrieved question and options to the user in a pop-up window. At the same time, the emotion recognition engine analyzes the user's facial expressions and voice to obtain emotional data in real time.

[1613] Next, the user selects their mood for the day from a pop-up window. For example, they select "Energetic." The device records this mood data and sends it to the server along with emotion data obtained from the emotion recognition engine. The server then combines the received mood data with the user's past search history and interest data, including the emotion data.

[1614] Next, the server inputs the prompt sentence into the generative AI model based on the user's answer, past data, and emotional data. For example, the answer "I'm fine," sports-related search history, and emotional data such as "joy" detected by the emotion engine are input into the model. An example of a prompt sentence is as follows:

[1615] Example prompt sentence:

[1616] Generate sports-related themes to suit users who are in a lively mood.

[1617] Based on this data, the generative AI model generates a theme that matches the user's mood and emotion, for example, a "sports theme with lively colors." The server formats the generated theme data and sends it to the device.

[1618] The device receives the theme data sent from the server and saves it in a local database. The device displays the new theme on the theme list screen, allowing the user to check, select, and use the theme.

[1619] Furthermore, if a user saves a specific theme as a favorite, the device will store up to 10 of those themes in a local database. If the number of themes exceeds 10, the oldest theme will be deleted. If a user shares a theme with another device, the device will generate a QR code using the QR code generation library. The device will display the generated QR code, and the other device can scan the QR code to share the theme.

[1620] The system of the present invention aims to provide a more personalized experience through theme generation based on the user's mood and emotions, thereby increasing user satisfaction and retention.

[1621] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1622] Step 1: Generate questions and options

[1623] The server generates daily questions and options and stores them in a database. As input, the server uses a fixed template and a question generation algorithm. For example, it generates the question "How are you feeling today?" and options such as "Energetic", "Sad", "Relaxed" and "Busy". The generated questions and options are stored in a database and added to the list of questions for that day. The output is the generated questions and options.

[1624] Step 2: Sending API requests and getting questions

[1625] When the device launches the application, it sends an API request to the server to retrieve the question and options for that day. As input, the device sends user authentication information and a request ID, and the server retrieves the question and options for that day from the target database and returns them as a response. The output is the retrieved question and options.

[1626] Step 3: Displaying the Pop-up Window and Obtaining Emotion Data

[1627] The device displays the acquired questions and options to the user in a pop-up window. At the same time, the emotion recognition engine analyzes the user's facial expressions and voice to acquire emotional data in real time. The input is a live feed from the camera and microphone, and the emotion recognition engine processes this data to analyze the emotional state. The output is the user's selected mood data and the analyzed emotional data.

[1628] Step 4: Choose your mood

[1629] The user selects their mood for the day from a pop-up window. For example, they select "Energetic." The input is a manually selected option, and the device records this data. The output is the user-selected mood data.

[1630] Step 5: Record and send data

[1631] The device records the selected mood data and sends it to the server along with the emotion data obtained from the emotion recognition engine. The input mood data and emotion data are formatted in JSON format and sent to the server as an HTTP request. The output is the data sent to the server.

[1632] Step 6: Obtaining historical data

[1633] In addition to the mood and emotion data received by the server, it also retrieves the user's past search history and interest data from the database. It executes a query using the user ID as input to retrieve past data. The output is the integrated mood, emotion, and past data.

[1634] Step 7: Generate a prompt statement

[1635] The server inputs the user's answers, past data, and emotional data into the generative AI model as a prompt. For example, it generates a prompt such as, "Generate sports-related topics that suit a user who is in a good mood." The inputs are mood data, past search history, and emotional data, and the output is the generated prompt.

[1636] Step 8: Generate the Theme

[1637] Based on this data, a generative AI model generates themes that match the user's mood and emotions. The input is a prompt sentence, which the AI ​​model parses and generates appropriate themes. The output is the generated theme data.

[1638] Step 9: Format and submit theme data

[1639] The server formats the generated theme data and sends it to the device. It takes the generated theme data as input and converts it into a usable format. The output is the theme data sent to the device.

[1640] Step 10: Receive and store theme data

[1641] The terminal receives the theme data sent from the server and stores it in a local database. The input is the theme data, which is stored in the local database. The output is the stored theme data.

[1642] Step 11: Viewing the Theme

[1643] The device displays the new theme on the theme list screen. The input is the saved theme data, which is reflected in the UI. The output is the new theme displayed on the user's display screen.

[1644] Step 12: Save the Theme

[1645] When a user saves a particular theme as a favorite, the device stores that theme in a local database, up to a maximum of 10 times. The input is a save request, and multiple themes are managed in the local database. The output is the saved theme.

[1646] Step 13: Generate and share a QR code

[1647] When a user shares a theme with another device, the device generates a QR code using a QR code generation library and displays the QR code. The input is the theme data, and the QR code is generated. The output is the generated QR code.

[1648] Step 14: Scan the QR code

[1649] Themes are shared by other devices by scanning the QR code. The input is a QR code scanned with a camera, and the scanned data is interpreted as theme data. The output is the shared theme.

[1650] (Application example 2)

[1651] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1652] Conventional theme generation systems have difficulty in fully reflecting the user's mood and emotions, making it difficult to provide a personalized experience. Furthermore, there are insufficient methods for easily sharing generated themes with other devices. Furthermore, updating themes in real time in response to changes in the user's emotions has also been a challenge.

[1653] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for presenting a plurality of mood-related options to the user when the user first opens the application, means for recording the answer selected by the user from the options and combining the user's past data and emotional data, means for generating a corresponding theme using a generative AI model based on the answer, the past data, and the emotional data, means for displaying the generated theme on the terminal, and means for generating a QR code for sharing the theme stored on the terminal with other terminals. This enables the generation and immediate updating of personalized themes that reflect the user's moods and emotions in real time, and also makes it easy to share themes.

[1654] "User" refers to an individual or organization that uses the System.

[1655] "Application" refers to a software program installed and used by a user on a terminal.

[1656] "Multiple mood options" refers to multiple options (e.g., energetic, sad, relaxed, busy) that allow a user to confirm their current feelings or state.

[1657] An "answer" refers to a selection made by a user from mood-related options.

[1658] "Past data" refers to records of a user's past actions (e.g., purchase history, search history).

[1659] "Emotion data" refers to data that represents the user's current emotional state, analyzed from facial expressions, voice, etc.

[1660] A "generative AI model" refers to an artificial intelligence model that generates themes based on input data (answers, past data, emotional data).

[1661] A "theme" refers to a collection of specific visual and content elements generated based on the user's mood or emotion.

[1662] "Device" refers to a device on which the application is installed, such as a smartphone, tablet, or PC.

[1663] "Display means" refers to a function for visually presenting the generated theme on the screen of a terminal.

[1664] "Means for generating a QR code for sharing" refers to technology for generating a QR code for sharing the generated theme with other devices.

[1665] The present invention is a system that generates specific themes based on the user's mood and emotions, and can display and share these themes. Specific embodiments are described below.

[1666] System Embodiments

[1667] 1. Hardware and Software

[1668] Device: The device used by the user, such as a smartphone, tablet, or computer.

[1669] Server: Cloud-based server such as AWS EC2, Microsoft Azure, etc.

[1670] Emotion Engine: Emotion recognition tools such as OpenCV, DLib, Emotion API.

[1671] Generative AI models: Deep learning models such as TensorFlow and PyTorch.

[1672] QR code generation library: qrcode (library for Python), etc.

[1673] 2. System Components and Data Calculations

[1674] When the user first opens the application, the server generates multiple mood options (e.g., "Energetic," "Sad," "Relaxed," "Busy") and stores them in a database. The server also combines the user's selected options with past data and emotional data and inputs them into a generative AI model.

[1675] When the device launches the application, it sends an API request to the server to obtain a question about the user's mood that day and a choice of options. As the user selects an option, the emotion engine analyzes the user's facial expressions and voice to obtain real-time emotional data.

[1676] The user's selected answers and acquired emotional data are sent from the device to a server. The server uses this data to acquire user data such as past purchase history and search history, and inputs this into a generative AI model. The generative AI model then generates personalized themes based on the input data.

[1677] The generated theme is sent from the server to the device and displayed on the device. The theme stored on the device can also be converted into a QR code using a QR code generation library, allowing it to be easily shared with other devices.

[1678] 3. Examples and prompts

[1679] For example, when a user starts an application, the question "How are you feeling today?" is displayed, and options such as "Energetic," "Sad," "Relaxed," and "Busy" are provided. Suppose the user selects "Energetic," and the emotion engine recognizes the emotion of "Happy" from the user's facial expression.

[1680] The following prompt is input to the generative AI model:

[1681] The user selected "Energetic" as their mood for today. Their past search history includes many sports-related products, and the emotion recognition engine detects the emotion of joy. Based on this, please suggest the most suitable product theme.

[1682] Based on this prompt, the generative AI model generates a "Energetic" theme, a bright color theme that highlights sports-related merchandise, which is then displayed on the device for the user to review, select, and apply.

[1683] In this way, the system can generate and instantly update personalized themes that reflect the user's mood and emotions in real time, and also allows themes to be easily shared.

[1684] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1685] Step 1:

[1686] The server generates daily questions and options and stores them in a database. Specifically, the server generates the question "How are you feeling today?" and options such as "Energetic," "Sad," "Relaxed," and "Busy." This data is later retrieved when the device sends a request.

[1687] Input: Current date, preset questions and choices

[1688] Data processing: generating and formatting questions and options

[1689] Output: Questions and options stored in a database

[1690] Step 2:

[1691] When the device launches the application, it sends an API request to the server to retrieve the question and options for the day. The device processes the response to this request and displays the question and options.

[1692] Input: API request (from terminal to server)

[1693] Data processing: Receives response data from the server and converts it into a format that can be displayed on the device.

[1694] Output: The question and choices that are displayed to the user

[1695] Step 3:

[1696] As the user selects an answer from a list of options to answer a question, the emotion engine analyzes the user's facial expressions and voice to obtain real-time emotional data.

[1697] Input: User's selected answer, user's facial expression data and voice data

[1698] Data processing: Analysis of facial expression data and voice data using an emotion engine

[1699] Output: Selected answers and captured sentiment data

[1700] Step 4:

[1701] The device sends the selected answer and emotion data to the server, which also collects the user's past purchase and search history.

[1702] Input: Selected answers and emotion data (from device to server), past user data (in the server database)

[1703] Data processing: Combining multiple choice answers, emotional data, and past data

[1704] Output: The retrieved user dataset

[1705] Step 5:

[1706] The server inputs this data into a generative AI model to generate a theme that best suits the user's mood and emotions. The generative AI model then creates prompts based on this input data and generates themes.

[1707] Input: Selected answers, emotion data, past data (from server to generative AI model)

[1708] Data processing: Data analysis and theme generation using generative AI models

[1709] Output: The generated theme

[1710] Step 6:

[1711] The server formats the generated theme and sends it to the device, where the theme data is formatted to be displayed on the user's device.

[1712] Input: Generated theme data

[1713] Data processing: formatting thematic data and sending it to the terminal

[1714] Output: Theme data that can be displayed on the device

[1715] Step 7:

[1716] The device receives the theme data sent from the server and stores it in a local database. The user can then view the new theme on the theme list screen and select it to apply it.

[1717] Input: Theme data (from server to device)

[1718] Data processing: Saving theme data and displaying it on the list screen

[1719] Output: A list of themes that the user can choose from

[1720] Step 8:

[1721] When a user wants to share a theme with another device, the device generates and displays a QR code using a QR code generation library. Other devices can then scan this QR code to obtain the theme.

[1722] Input: Theme data saved on the device

[1723] Data processing: QR code generation

[1724] Output: The displayed QR code and the theme data are sent to the device that received the share.

[1725] 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 control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1726] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1727] 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 the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1728] The emotion identification model 59 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 an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1729] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1730] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1731] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1732] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1733] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs 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 a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1734] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1735] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1736] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1737] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1738] 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.

[1739] It is not necessary to store all 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 all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1740] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1741] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with 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). Also, the hardware resource that executes the specific processing may be a single processor.

[1742] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1743] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1744] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1745] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1746] The following is further disclosed regarding the above embodiment.

[1747] (Claim 1)

[1748] means for presenting a plurality of mood options to a user when the user first opens the application;

[1749] a means for recording the user's selected answers from the options and combining the answers with the user's past data;

[1750] means for generating a corresponding theme based on the answers and the past data;

[1751] means for displaying the generated theme on a terminal;

[1752] means for sharing the theme stored in the terminal with another terminal;

[1753] A system including:

[1754] (Claim 2)

[1755] 10. The system of claim 1, wherein the historical data includes a user's search history.

[1756] (Claim 3)

[1757] 2. The system according to claim 1, further comprising means for storing the generated theme in the terminal and deleting the theme after a certain period of time.

[1758] "Example 1"

[1759] (Claim 1)

[1760] means for presenting a plurality of mood options to a user when the user first opens the application;

[1761] a means for recording the user's selected answers from the options and combining the answers with the user's past data;

[1762] means for generating a corresponding theme based on the answers and the past data;

[1763] means for displaying the generated theme on a terminal;

[1764] means for storing the themes in a database of a terminal and displaying them in a list;

[1765] means for sharing the theme stored in the terminal with another terminal;

[1766] A system including:

[1767] (Claim 2)

[1768] 10. The system of claim 1, wherein the historical data includes a user's search history.

[1769] (Claim 3)

[1770] 2. The system according to claim 1, further comprising means for storing the generated theme in the terminal and deleting the theme after a certain period of time.

[1771] "Application Example 1"

[1772] (Claim 1)

[1773] means for presenting a plurality of mood options to a user when the user first opens the application;

[1774] a means for recording the user's selected answers from the options and combining the answers with the user's past data;

[1775] means for generating corresponding themes using a generative artificial intelligence model based on the responses and the past data;

[1776] means for displaying the generated theme on a terminal;

[1777] means for sharing the theme stored in the terminal with another terminal together with a prompt;

[1778] A system including:

[1779] (Claim 2)

[1780] 10. The system of claim 1, wherein the historical data includes a user's search history.

[1781] (Claim 3)

[1782] 2. The system according to claim 1, further comprising means for storing the generated theme in the terminal and deleting the theme after a certain period of time.

[1783] "Example 2: Combining Emotion Engines"

[1784] (Claim 1)

[1785] means for presenting a plurality of mood options to a user when the user first opens the application;

[1786] a means for recording the user's selected answers from the options and combining the answers with the user's past data;

[1787] means for inputting a prompt sentence to a response generation engine based on the answer and the past data;

[1788] means for displaying on a terminal a theme generated based on the prompt sentence;

[1789] means including an emotion recognition engine that analyzes a user's facial expressions and voice and acquires emotion data;

[1790] means for sharing the theme stored in the terminal with another terminal;

[1791] A system including:

[1792] (Claim 2)

[1793] 10. The system of claim 1, wherein the historical data includes user search history and interest data.

[1794] (Claim 3)

[1795] 2. The system according to claim 1, further comprising means for storing the generated theme in the terminal and automatically deleting the theme after a certain period of time.

[1796] "Application example 2 when combining emotion engines"

[1797] (Claim 1)

[1798] means for presenting a plurality of mood options to a user when the user first opens the application;

[1799] a means for recording the user's selected answer from the options and combining the user's historical data with the emotional data;

[1800] means for generating a corresponding theme using a generative AI model based on the answer, the past data, and the emotion data;

[1801] means for displaying the generated theme on a terminal;

[1802] means for generating a QR code for sharing the theme stored in the terminal with another terminal;

[1803] A system including:

[1804] (Claim 2)

[1805] 2. The system of claim 1, wherein the historical data includes a user's purchase history and search history.

[1806] (Claim 3)

[1807] The system according to claim 1, further comprising: a means for storing the generated theme in the terminal, deleting the theme after a certain period of time, and updating the theme based on the user's emotional data. [Explanation of symbols]

[1808] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for presenting a plurality of mood options to a user when the user first opens the application; a means for recording the user's selected answers from the options and combining the answers with the user's past data; means for generating a corresponding theme based on the answers and the past data; means for displaying the generated theme on a terminal; means for sharing the theme stored in the terminal with another terminal; A system including:

2. 2. The system of claim 1, wherein the historical data includes a user's search history.

3. 2. The system according to claim 1, further comprising means for storing the generated theme in the terminal and deleting the theme after a certain period of time.

Images