System

Abstract

A system is provided.SOLUTION: A system comprising: means for obtaining a time zone of a user; means for obtaining location information of the user; means for obtaining weather information of the user; means for obtaining information about hobbies and preferences of the user; means for generating a personalized idea based on the obtained information; means for displaying the generated idea to the user; means for receiving an idea input from the user; means for reviewing the idea input from the user and generating feedback; and means for displaying the feedback to the user.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] Currently, many people find it difficult to consistently provide personalized ideas to individual users. Therefore, there is a need for a consistent supply of ideas to provide fresh perspectives and foster creativity in users' lives and work. Furthermore, there is a lack of a means for users to receive appropriate feedback as they develop their ideas. The present invention aims to solve these problems by providing a system that provides users with continuous and effective idea generation and feedback. [Means for solving the problem]

[0005] The present invention provides a system including the following means: means for acquiring a user's time zone, means for acquiring location information, means for acquiring weather information, means for acquiring information about the user's hobbies and preferences, means for generating personalized ideas based on this information, means for displaying the generated ideas to the user, means for accepting idea input from the user, means for reviewing the input ideas and generating feedback, and means for displaying the generated feedback to the user.

[0006] The means for generating personalized ideas refers to a database of ideas accumulated in the past and generates new ideas based on user information. Furthermore, the means for generating feedback on ideas entered by users uses a generation AI to suggest ideas for improvement based on related information in the database. This allows users to obtain fresh ideas every day and further develop their own ideas.

[0007] "User information" refers to personal data about a user, and specifically includes information such as the user's hobbies and preferences.

[0008] A "time period" refers to a particular time or range of hours during which a user accesses the system.

[0009] "Location information" is data indicating the user's current geographical location, and is obtained using GPS or other location information acquisition means.

[0010] "Weather information" refers to the current weather conditions in the area where the user is located, and is data obtained from weather forecast services, etc.

[0011] "Personalized ideas" are ideas that generate new ideas that are tailored to individual users based on acquired user information, time zone, location information, and weather information.

[0012] "Generative AI" refers to artificial intelligence technology that learns from massive amounts of data and generates new ideas and feedback based on specific conditions.

[0013] An "idea database" refers to a collection of data containing numerous ideas accumulated in the past, which the generative AI refers to when generating new ideas.

[0014] "Feedback" refers to a response, such as suggestions for improvements or additions, provided to an idea entered by a user. [Brief explanation of the drawings]

[0015] [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

[0016] 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.

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

[0018] 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).

[0019] 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.

[0020] 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.

[0021] 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.

[0022] 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."

[0023] [First embodiment]

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

[0025] 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.

[0026] 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).

[0027] 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.

[0028] 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.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form 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.

[0030] 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.

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

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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."

[0036] The system of the present invention provides users with personalized ideas and generates feedback to help them improve their own ideas. The system acquires information about the user's time zone, location, weather, hobbies, and preferences, and the AI ​​generates new ideas based on this information.

[0037] System configuration and operation

[0038] 1. Acquiring and storing user information

[0039] When a user logs in for the first time, the device displays a screen where the user can enter their profile information (such as name, hobbies, and preferences). This information is sent to the server and stored in a database. Each time the user uses the app, the device obtains the current time, location, and weather information, which is then sent to the server.

[0040] 2. Personalized idea generation

[0041] The server sends the acquired time, location, weather, and user profile information to the generation AI, which then references a vast database of ideas accumulated in the past to generate new ideas suited to the user. The generated ideas are sent to the device via the server and displayed to the user.

[0042] 3. Feedback on user ideas

[0043] When a user inputs their idea, the device sends it to the server. The server passes the input idea to the generation AI, which generates feedback and suggestions for improvement for the user's idea based on the idea database. The generated feedback is sent to the device via the server and displayed to the user.

[0044] Specific examples

[0045] Example 1: Providing personalized ideas

[0046] User: A cooking enthusiast opens the app at 7am.

[0047] Device: Obtain the current location (Tokyo), weather (sunny), and time (7:00) and send them to the server.

[0048] Server: Sends this information to the generation AI.

[0049] Generative AI: Generates ideas like, "Try an omelet with fresh vegetables for breakfast. Adding tomatoes and basil is delicious."

[0050] Server: Sends the generated ideas to the device.

[0051] Terminal: Displays the idea to the user.

[0052] Example 2: Bouncing ideas off each other and giving feedback

[0053] User: Enters "What about kiwi on pizza" as a new recipe idea.

[0054] Terminal: Send this idea to the server.

[0055] Server: Sends the input ideas to the generation AI.

[0056] Generative AI: Generates feedback such as, "The tartness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[0057] Server: Sends feedback to the device.

[0058] Terminal: Display feedback to the user.

[0059] In this way, the system of the present invention continuously provides users with personalized ideas and provides feedback to further develop their own ideas, allowing users to obtain fresh ideas every day and enhance their own creativity.

[0060] The processing flow will be explained below.

[0061] Step 1:

[0062] The user launches the app.

[0063] The device displays a login screen and prompts the user to enter a username and password.

[0064] Step 2:

[0065] The user enters the username and password and clicks the "Login" button.

[0066] The device sends the login information to the server.

[0067] Step 3:

[0068] The server authenticates the user information and obtains profile information (name, hobbies, preferences, etc.). If this is the first time the user logs in, the server instructs the device to display a profile entry screen for the user.

[0069] Step 4:

[0070] The user enters profile information and presses the "Submit" button.

[0071] The device transmits the entered profile information to the server.

[0072] The server stores the profile information in a database.

[0073] Step 5:

[0074] The user launches the app.

[0075] Your device gets the current time, location, and weather information.

[0076] The terminal transmits this information to the server.

[0077] Step 6:

[0078] The server sends the received time, location information, weather information, and user profile information to the generation AI.

[0079] Step 7:

[0080] The generation AI refers to the idea database and generates personalized ideas based on the user's information, then returns the generated ideas to the server.

[0081] Step 8:

[0082] The server transmits the generated ideas to the terminal.

[0083] The terminal displays the idea to the user.

[0084] Step 9:

[0085] The user enters their idea into the app's idea input form.

[0086] The terminal transmits the input idea to the server.

[0087] Step 10:

[0088] The server sends the received ideas to the generation AI.

[0089] The generation AI generates feedback and improvement suggestions for the user's ideas based on the idea database, and returns the generated feedback to the server.

[0090] Step 11:

[0091] The server transmits the generated feedback to the terminal.

[0092] The device displays the feedback to the user.

[0093] Through this process, users receive a constant stream of personalized ideas and can further refine their ideas through feedback provided by the generative AI.

[0094] Example 1

[0095] 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."

[0096] Conventional idea generation systems lack personalization for users, making it difficult to provide appropriate ideas tailored to each user's individual characteristics and circumstances. Furthermore, they lack the ability to provide effective feedback on ideas spontaneously proposed by users, preventing them from fully drawing out the user's creativity. This results in limited satisfaction and usefulness for users.

[0097] 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.

[0098] In this invention, the server includes means for acquiring user time information, means for acquiring user location information, means for acquiring user weather information, means for acquiring information on the user's hobbies and preferences, means for generating personalized ideas using a generative AI model based on the acquired information, means for displaying the generated ideas on a user terminal, means for accepting idea input from a user, means for converting the idea input from the user into a prompt sentence and generating feedback using the generative AI model, and means for displaying the generated feedback on a user terminal. This makes it possible to provide personalized ideas according to the user's characteristics and situation, and by providing appropriate feedback to the user's suggestions, it is possible to enhance the user's creativity.

[0099] The "means for acquiring user time information" is a function for acquiring the time when the user is using the system.

[0100] The "means for acquiring user location information" is a function for acquiring the user's current geographical location.

[0101] The "means for acquiring weather information for the user" is a function for acquiring the weather information for the location where the user is located.

[0102] The "means for acquiring information about the user's hobbies and preferences" is a function for acquiring information about the user's interests and preferences.

[0103] "Means for generating personalized ideas using generative AI models" refers to a function for generating personalized proposals and ideas using generative AI models based on acquired information.

[0104] The "means for displaying the generated idea on the user terminal" is a function for displaying the generated idea on the terminal used by the user.

[0105] The "means for accepting idea input from the user" is a function that allows the user to input his or her own ideas or suggestions.

[0106] "Means for converting ideas entered by a user into prompt sentences and generating feedback using a generative AI model" refers to a function that analyzes ideas entered by a user, converts them into prompt sentences, and automatically generates feedback for those ideas using a generative AI model.

[0107] The "means for displaying the generated feedback on the user terminal" is a function for displaying the generated feedback on the terminal used by the user.

[0108] The system of the present invention provides users with personalized ideas and generates feedback to help them improve their own ideas. The system acquires information about the user's time, location, weather, hobbies, and preferences, and the AI ​​generates new ideas based on this information.

[0109] Obtaining and saving user information

[0110] When a user logs in for the first time, the device displays a screen where they can enter profile information such as their name, hobbies, and preferences. After the user enters this information, the device sends the data to the server. The server stores the received information in a database (for example, MySQL or PostgreSQL). Additionally, each time the user uses the app, the device obtains the current time, location information (using the GPS sensor), and weather information (from an external API, for example, OpenWeatherMap), and sends this data to the server. The server updates the received information in the database for each user.

[0111] Personalized idea generation

[0112] The server generates a prompt for the generative AI model (for example, OpenAI's GPT or BERT) based on the saved user profile information and current time, location, and weather information. For example, it generates a prompt such as, "Current location is Tokyo, weather is sunny, time is 7 o'clock. My hobby is cooking. Please give me some new breakfast ideas." The server sends the generated prompt to the generative AI. The generative AI generates the best idea for the user based on the prompt. The generated idea is sent to the server, and the server sends it to the device. The device displays the generated idea to the user.

[0113] User idea feedback

[0114] When a user inputs their idea, the device sends it to the server. The server converts the input idea into a prompt and generates feedback using a generative AI model. For example, the server generates a prompt such as, "The user suggested 'How about putting kiwi on pizza?' Please provide your feedback." The generative AI generates feedback based on the prompt, providing advice such as, "The sourness and sweetness of kiwi go well with tomato sauce, but try combining it with mozzarella cheese." The generated feedback is sent to the device via the server, and the device displays it to the user.

[0115] Specific examples

[0116] Example 1: Providing personalized ideas

[0117] User: A cooking enthusiast opens the app at 7am.

[0118] Device: Obtain the current location (Tokyo), weather (sunny), and time (7:00) and send them to the server.

[0119] Server: Create a prompt to send this information to the generation AI: "Current location: Tokyo, weather: sunny, time: 7 o'clock. My hobby is cooking. Please provide some new breakfast ideas."

[0120] Generative AI: Generates ideas like, "Try an omelet with fresh vegetables for breakfast. Adding tomatoes and basil is delicious."

[0121] Server: Sends the generated ideas to the device.

[0122] Terminal: Displays the idea to the user.

[0123] Example 2: Bouncing ideas off each other and giving feedback

[0124] User: Enters "What about kiwi on pizza" as a new recipe idea.

[0125] Terminal: Send this idea to the server.

[0126] Server: Converts the input idea into a prompt to be sent to the generative AI. "The user suggested 'How about putting kiwi on pizza?' Please provide feedback."

[0127] Generative AI: Generates feedback such as, "The tartness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[0128] Server: Sends feedback to the device.

[0129] Terminal: Display feedback to the user.

[0130] In this way, the system of the present invention continuously provides users with personalized ideas and provides feedback to further develop their own ideas, allowing users to obtain fresh ideas every day and enhance their own creativity.

[0131] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0132] Step 1:

[0133] When a user logs in for the first time, the device displays a screen where they can enter profile information such as their name, hobbies, and preferences.

[0134] Input: User profile information (name, hobbies, preferences, etc.).

[0135] Output: The profile information entered.

[0136] Specific operation: The device temporarily stores the profile information entered by the user and sends it to the server.

[0137] Step 2:

[0138] Every time a user uses the app, the device obtains the current time, location information (using the GPS sensor), and weather information (obtained from an external API).

[0139] Input: Device sensors and API requests.

[0140] Output: Current time, location, and weather information.

[0141] Specific operation: Obtain location information from the device's sensors, obtain weather information from an external API, and obtain the current time from the system clock.

[0142] Step 3:

[0143] The terminal transmits the information acquired in step 2 to the server.

[0144] Input: Current time, location, and weather information.

[0145] Output: Information sent to the server.

[0146] Specific operation: The terminal sends this information to the server using a communication method such as an HTTP request.

[0147] Step 4:

[0148] The server stores or updates the information received in steps 1 and 2 in a database.

[0149] Input: User profile information, current time, location, and weather information.

[0150] Output: Information saved or updated in the database.

[0151] Specific operation: The server saves or updates the received information in the corresponding user's record in the database.

[0152] Step 5:

[0153] The server generates prompt sentences for the generative AI model based on the saved user profile information and current time, location, and weather information.

[0154] Input: Information stored in a database.

[0155] Output: The generated prompt statement.

[0156] Specific operation: The server references the saved information and generates a prompt sentence according to the specified format. Example: "Current location is Tokyo, weather is sunny, time is 7 o'clock. Hobby is cooking. Please give me some new breakfast ideas."

[0157] Step 6:

[0158] The server sends the generated prompt to the generation AI.

[0159] Input: The generated prompt statement.

[0160] Output: The prompt sent to the generation AI.

[0161] Specific operation: The server sends a prompt to the generation AI API and requests idea generation.

[0162] Step 7:

[0163] The generative AI generates new ideas that are best suited to the user based on the prompt text.

[0164] Input: Prompt statement.

[0165] Output: Generated ideas.

[0166] Specific operation: The generative AI analyzes the prompt sentence and generates appropriate ideas by referring to its internal database.

[0167] Step 8:

[0168] The generating AI sends the generated ideas back to the server.

[0169] Input: Ideas generated by generative AI.

[0170] Output: The ideas sent back to the server.

[0171] Specific operation: The generation AI returns the generated ideas to the server as an API response.

[0172] Step 9:

[0173] The server transmits the generated ideas to the terminal.

[0174] Input: Generated ideas.

[0175] Output: Ideas sent to the terminal.

[0176] Specific operation: The server transmits the generated ideas to the terminal via a communication means.

[0177] Step 10:

[0178] The terminal displays the generated ideas to the user.

[0179] Input: Ideas sent by the server.

[0180] Output: The idea displayed on the user's terminal.

[0181] Specific operation: The terminal displays the generated ideas on a GUI so that the user can view them.

[0182] Step 11:

[0183] When the user inputs his / her idea, the terminal transmits the idea to the server.

[0184] Input: Ideas entered by the user into the terminal.

[0185] Output: The ideas sent to the server.

[0186] Specific operation: The terminal sends the idea entered by the user to the server via a communication method such as an HTTP request.

[0187] Step 12:

[0188] The server converts the user's idea into a prompt sentence and sends it to the generation AI.

[0189] Input: User-entered ideas.

[0190] Output: The prompt to send to the generation AI.

[0191] Specific operation: The server takes the user's idea as a parameter and converts it into a format that the AI ​​can understand, then generates a prompt. Example: "The user suggested 'How about putting kiwi on pizza?' Please provide feedback."

[0192] Step 13:

[0193] The generative AI generates feedback based on the prompt text.

[0194] Input: The generated prompt statement.

[0195] Output: The generated feedback.

[0196] Specific behavior: The generative AI analyzes the prompt sentence and generates appropriate feedback by referring to its internal database. Example: "The sour and sweet taste of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[0197] Step 14:

[0198] The generating AI sends the generated feedback back to the server.

[0199] Input: Feedback generated by the generative AI.

[0200] Output: Feedback sent back to the server.

[0201] Specific operation: The generation AI returns the generated feedback to the server as an API response.

[0202] Step 15:

[0203] The server transmits the generated feedback to the terminal.

[0204] Input: Generated feedback.

[0205] Output: Feedback sent to the device.

[0206] Specific operation: The server transmits the generated feedback to the terminal via a communication means.

[0207] Step 16:

[0208] The terminal displays the generated feedback to the user.

[0209] Input: Feedback sent by the server.

[0210] Output: Feedback displayed on the user's terminal.

[0211] Specific operation: The device displays the generated feedback on the GUI so that the user can view it.

[0212] (Application example 1)

[0213] 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."

[0214] Conventional food delivery systems lack personalized suggestions based on users' habits and preferences, making it difficult for users to get suggestions and feedback on new dishes or menu items when trying them. Also, when users come up with new ideas, there is no way to get immediate feedback to improve them from other perspectives.

[0215] 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.

[0216] In this invention, the server includes means for acquiring the user's time zone, means for acquiring the user's location information, means for acquiring the user's weather information, means for acquiring information on the user's hobbies and preferences, means for generating personalized ideas based on the acquired information, means for displaying the generated ideas to the user, means for accepting idea input from the user, means for reviewing the ideas input by the user and generating feedback, means for displaying the generated feedback to the user, and means for suggesting dishes and menus based on the user's food delivery purchase history and local information. This not only enables users to receive personalized dish and menu suggestions tailored to their individual circumstances and preferences, but also allows them to receive feedback on their own ideas, significantly improving the means for enjoying new dishes and menus.

[0217] The "means for acquiring the user's time zone" is a device or software that collects information on the user's behavior during a specific time zone.

[0218] The "means for acquiring user location information" refers to a device or software that acquires information about the user's current location.

[0219] The "means for acquiring user's weather information" refers to a device or software that acquires information about the user's current weather.

[0220] The "means for acquiring information about a user's hobbies and preferences" refers to a device or software that collects data about a user's interests and preferences.

[0221] The "means for generating personalized ideas based on acquired information" refers to a device or software that generates ideas specific to a user based on collected information.

[0222] The "means for displaying the generated ideas to the user" is a device or software that visually presents the generated ideas to the user.

[0223] The "means for accepting idea input from a user" refers to a device or software that receives ideas input by a user.

[0224] The "means for examining ideas input by users and generating feedback" refers to a device or software that analyzes ideas input by users and suggests improvements.

[0225] The "means for displaying generated feedback to the user" is a device or software that visually presents the generated feedback to the user.

[0226] "Means for suggesting dishes and menus based on a user's purchase history and local information in food delivery" refers to a device or software that suggests personalized dishes and menus based on a user's past ordering history and local information.

[0227] The system embodying the present invention proposes personalized dishes and menus in a food delivery application by taking into account a user's purchase history, local information, weather information, time of day, and preferences and hobbies, and also generates and provides feedback to the user on new ideas submitted by the user.

[0228] System configuration

[0229] server

[0230] It has functions for obtaining and saving user information.

[0231] Idea generation and feedback generation are performed using generative AI.

[0232] The database stores user profile information, purchase history, and idea data.

[0233] Terminal

[0234] Users access the application using their smartphones.

[0235] Provides a screen for entering and displaying user profile information when logging in.

[0236] It has the function of obtaining the current time, location information, and weather information.

[0237] Data acquisition and processing

[0238] The server uses the following main hardware and software:

[0239] Python: for the overall program control logic

[0240] API (HTTP communication): For obtaining user and weather information and interfacing with the generating AI

[0241] Generative AI: For personalized food and menu suggestions, and feedback generation for user ideas

[0242] When a user logs in to the application, the server stores information in a database based on the user's profile information (such as name, hobbies, preferences, etc.) The device obtains the user's current time, location, and weather information and sends it to the server.

[0243] Generate personalized suggestions

[0244] The server sends the acquired current time, location information, weather information, and user profile information to the generation AI, which then refers to a database of previously accumulated ideas to generate ideas for dishes and menus suitable for the user. These ideas are sent to the device via the server and displayed to the user.

[0245] Generate feedback

[0246] When a user inputs an idea for a new menu or dish, the device sends the idea to the server. The server passes the idea to the generation AI, which generates feedback for the user's idea based on the idea database. The generated feedback is sent to the device via the server and displayed to the user.

[0247] Specific examples

[0248] For example, if a user indicates to the application that they live in Tokyo and would like to order breakfast at 8 a.m. before work, the system will consider the user's location (Tokyo), current weather (sunny), time (8 a.m.), and preferences based on their profile information (e.g., a preference for Japanese food) and suggest a rice ball set meal and hot miso soup. If the user then inputs a question about bamboo shoots as a new rice ball filling, the system will provide feedback on the idea, saying, "Bamboo shoots are a good idea for a rice ball filling, but adding bonito flakes will enhance the flavor."

[0249] This allows users to receive feedback on specialized menu suggestions and ideas on a daily basis to improve their dining experience.

[0250] Prompt Sentence Examples

[0251] User Profile:

[0252] Location: Tokyo

[0253] Time: 8:00 AM

[0254] Weather: Sunny

[0255] Favorite food: Japanese food

[0256] By entering the above prompt sentence, the system can make personalized menu suggestions that are best suited to the user.

[0257] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0258] Step 1:

[0259] A user logs in to an application on a smartphone device. When logging in, the user enters their profile information (name, hobbies, preferences, etc.), which is collected by the device and sent to the server. Input: User's profile information. Output: Sending profile information to the server.

[0260] Step 2:

[0261] The device uses the device's built-in functions and APIs to obtain the current time, location, and weather information. The obtained information is sent to the server. Input: Time, location, and weather information obtained from the device's built-in functions and APIs. Output: Current time, location, and weather information sent to the server.

[0262] Step 3:

[0263] The server stores the received profile information, current time, location information, and weather information in a database. Input: Information sent from the device. Output: Information saved in the database.

[0264] Step 4:

[0265] The server requests the generation AI to suggest personalized dishes and menus based on the information received. The generation AI references a database of past ideas to generate new ideas. Input: saved profile information, current time, location, weather information. Output: personalized suggestions.

[0266] Step 5:

[0267] The food and menu suggestions generated by the generative AI are sent to the device via the server and displayed to the user on the device. Input: Personalized suggestions from the generative AI. Output: Display of suggestions on the user's device.

[0268] Step 6:

[0269] The user inputs ideas for new dishes or menus into the terminal and sends the information to the server. Input: User's ideas. Output: Sending user's ideas to the server.

[0270] Step 7:

[0271] The server passes the received user ideas to the generation AI, which then generates feedback based on the idea database. Input: User's idea. Output: Generated feedback.

[0272] Step 8:

[0273] The feedback generated by the generation AI is sent to the terminal via the server and displayed to the user on the terminal. Input: Feedback from the generation AI. Output: Display of feedback on the user terminal.

[0274] This allows users to receive suggestions for dishes and menus that suit their individual circumstances and preferences, and also receive feedback on their own ideas.

[0275] 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.

[0276] The system of the present invention not only provides personalized ideas to users and generates feedback to help users improve their own ideas, but also recognizes the user's emotions to further customize the ideas and feedback. Specific operations of the system are described below.

[0277] System configuration and operation

[0278] 1. Acquiring and storing user information

[0279] When a user logs in for the first time, the device displays a screen where the user can enter their profile information (such as name, hobbies, and preferences). This information is sent to the server and stored in a database. Each time the user uses the app, the device obtains the current time, location, and weather information. This information is sent to the server. The emotion engine also analyzes the user's facial expressions, voice, and input content to obtain emotional information. This emotional information is also sent to the server.

[0280] 2. Personalized idea generation

[0281] The server sends the acquired time, location information, weather information, user profile information, and emotion information to the generation AI. The generation AI then references the idea database and generates new ideas suitable for the user based on this information. The generated ideas are sent to the device via the server and displayed to the user.

[0282] 3. Feedback on user ideas

[0283] When a user inputs their idea, the device sends it to the server. The server passes the input idea and the acquired emotional information to the generation AI, which then generates feedback and suggestions for improvement for the user's idea based on the idea database. The generated feedback is sent to the device via the server and displayed to the user.

[0284] Specific examples

[0285] Example 1: Providing personalized ideas

[0286] User: A cooking enthusiast opens the app at 7am.

[0287] Device: Obtains the current location (Tokyo), weather (sunny), and time (7:00) and sends them to the server. It also analyzes the user's facial expressions and voice to obtain emotional information, which is also sent to the server.

[0288] Server: Sends this information to the generation AI.

[0289] Generative AI: Generates the idea, "Try an omelet with fresh vegetables for breakfast. It tastes good with tomatoes and basil." This idea is suggested based on emotional information that the user is not stressed.

[0290] Server: Sends the generated ideas to the device.

[0291] Terminal: Displays the idea to the user.

[0292] Example 2: Bouncing ideas off each other and giving feedback

[0293] User: Enters "What about kiwi on pizza" as a new recipe idea.

[0294] Terminal: Send this idea to the server.

[0295] Server: Sends the input idea and user's emotional information to the generation AI.

[0296] Generative AI: Generates feedback such as, "The sour and sweet taste of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese." This feedback is suggested based on the user's positive sentiment.

[0297] Server: Sends feedback to the device.

[0298] Terminal: Display feedback to the user.

[0299] In this way, the system of the present invention provides users with personalized, emotion-based ideas and provides feedback to further develop their own ideas, thereby enabling users to enhance their creativity at a deeper level.

[0300] The processing flow will be explained below.

[0301] Step 1:

[0302] The user launches the app.

[0303] The device displays a login screen and prompts the user to enter a username and password.

[0304] Step 2:

[0305] The user enters the username and password and clicks the "Login" button.

[0306] The device sends the login information to the server.

[0307] Step 3:

[0308] The server authenticates the user information and obtains profile information (name, hobbies, preferences, etc.). If this is the first time the user logs in, the server instructs the device to display a profile entry screen for the user.

[0309] Step 4:

[0310] The user enters profile information and presses the "Submit" button.

[0311] The device transmits the entered profile information to the server.

[0312] The server stores the profile information in a database.

[0313] Step 5:

[0314] The user launches the app.

[0315] Your device gets the current time, location, and weather information.

[0316] The terminal transmits this information to the server.

[0317] Step 6:

[0318] The device analyzes the user's facial expressions, voice, and input content to obtain emotional information about the user, which is then sent to the server.

[0319] Step 7:

[0320] The server sends the received time, location information, weather information, user profile information, and emotion information to the generation AI.

[0321] Step 8:

[0322] The generation AI refers to the idea database and generates personalized ideas based on the user's information and emotions, and returns the generated ideas to the server.

[0323] Step 9:

[0324] The server transmits the generated ideas to the terminal.

[0325] The terminal displays the idea to the user.

[0326] Step 10:

[0327] The user enters their idea into the app's idea input form.

[0328] The terminal transmits the input idea to the server.

[0329] Step 11:

[0330] The server sends the received ideas and acquired emotional information to the generation AI.

[0331] The generative AI generates feedback and improvement suggestions for the user's ideas based on the idea database, and returns the generated feedback to the server.

[0332] Step 12:

[0333] The server transmits the generated feedback to the terminal.

[0334] The device displays the feedback to the user.

[0335] This allows users to receive personalized ideas that also reflect emotional information, and receive feedback to further develop their ideas.

[0336] Example 2

[0337] 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."

[0338] In today's information-saturated society, it is not easy for users to generate creative ideas on their own. Furthermore, obtaining personalized ideas and feedback that reflect the user's situation and emotions requires a great deal of time and effort. Therefore, there is a need for a system that can provide personalized ideas that reflect the user's individual situation and quickly provide appropriate feedback on the ideas entered by the user.

[0339] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0340] In this invention, the server includes means for acquiring the user's time zone, means for acquiring the user's location information, means for acquiring the user's weather information, means for acquiring information on the user's hobbies and preferences, means for acquiring the user's emotional information, means for generating personalized ideas based on the acquired information, means for displaying the generated ideas to the user, means for accepting idea input from the user, means for examining the ideas and emotional information input by the user and generating feedback, and means for displaying the generated feedback to the user. This allows the user to quickly obtain personalized ideas that suit their own situation and emotions, and further allows them to receive appropriate feedback on their own ideas.

[0341] The "means for acquiring the user's time zone" is a mechanism for acquiring the specific time zone (e.g., morning, afternoon, night) during which the user is using the application.

[0342] "Means for obtaining user location information" refers to a mechanism for obtaining geographical information such as the latitude and longitude of the user's current location, city name, and country name.

[0343] The "means for acquiring user's weather information" is a mechanism for acquiring information about the weather in the area where the user is currently located (e.g., sunny, rainy, snowy, wind speed, humidity, etc.).

[0344] The "means for acquiring information about the user's hobbies and preferences" is a mechanism for collecting information such as hobbies, interests, and preferences that the user has entered in advance.

[0345] "Means for acquiring user emotional information" refers to a mechanism for analyzing the user's facial expressions, voice, input content, etc., to acquire their emotional state at that time (e.g., joy, sadness, anger, stress, etc.).

[0346] "Means for generating personalized ideas based on acquired information" refers to a mechanism for generating new ideas that are individually suited based on collected data such as the user's time of day, location, weather, hobbies, preferences, and emotions.

[0347] The "means for displaying the generated ideas to the user" is a mechanism for displaying the generated personalized ideas on the user's terminal.

[0348] The "means for accepting idea input from the user" is a mechanism for the user to input their own ideas into the application.

[0349] "Means for scrutinizing ideas and emotional information entered by users and generating feedback" refers to a mechanism for analyzing ideas entered by users and the emotional information they provide at the time, and generating better feedback and suggestions for improvement based on that information.

[0350] The "means for displaying the generated feedback to the user" is a mechanism for displaying the generated feedback on the user's terminal.

[0351] The system of the present invention not only provides personalized ideas to users and generates feedback to help users improve their own ideas, but also recognizes the user's emotions to further customize the ideas and feedback. Specific operations of the system are described below.

[0352] System configuration and operation

[0353] The system of the present invention is configured using a user terminal, a server, an emotion engine, and a generation AI.

[0354] Obtaining and saving user information

[0355] When a user logs in for the first time, the device displays a screen where the user can enter their profile information (such as name, hobbies, and preferences). This information is sent to the server and stored in a database. Each time the user uses the app, the device obtains the current time, location, and weather information. This information is sent to the server. The emotion engine also analyzes the user's facial expressions, voice, and input content to obtain emotional information. This emotional information is also sent to the server.

[0356] Personalized idea generation

[0357] The server sends the acquired time, location information, weather information, user profile information, and emotion information to the generation AI. The generation AI then references the idea database and generates new ideas suitable for the user based on this information. The generated ideas are sent to the device via the server and displayed to the user.

[0358] User idea feedback

[0359] When a user inputs their idea, the device sends it to the server. The server passes the input idea and the acquired emotional information to the generation AI, which then generates feedback and suggestions for improvement for the user's idea based on the idea database. The generated feedback is sent to the device via the server and displayed to the user.

[0360] Specific examples

[0361] Example 1: Providing personalized ideas

[0362] 1. User: A cooking enthusiast opens the app at 7am.

[0363] 2. Device: Obtains the current location (Tokyo), weather (sunny), and time (7:00) and sends them to the server. It also analyzes the user's facial expressions and voice to obtain emotional information, which is also sent to the server.

[0364] 3. Server: Sends this information to the generation AI.

[0365] 4. Generative AI: Generates the idea, "Try an omelet with fresh vegetables for breakfast. It tastes good with tomatoes and basil." This idea is suggested based on the user's emotional information, which indicates that the user is not stressed.

[0366] 5. Server: Sends the generated ideas to the device.

[0367] 6. Terminal: displays the idea to the user.

[0368] Example 2: Bouncing ideas off each other and giving feedback

[0369] 1. User: Enters "What about kiwi on pizza" as a new recipe idea.

[0370] 2. Terminal: Sends this idea to the server.

[0371] 3. Server: Sends the input idea and user emotion information to the generation AI.

[0372] 4. Generative AI: Generates feedback such as, "The sour and sweet taste of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese." This feedback is suggested based on the user's positive sentiment.

[0373] 5. Server: Sends feedback to the device.

[0374] 6. Terminal: Display feedback to the user.

[0375] In this way, the system of the present invention provides users with personalized, emotion-based ideas and provides feedback to further develop their own ideas, thereby enabling users to enhance their creativity at a deeper level.

[0376] Prompt Sentence Examples

[0377] Personalized idea generation prompt:

[0378] User profile: Cooking is my hobby

[0379] Current time: 7am

[0380] Location: Tokyo

[0381] Weather: Sunny

[0382] Emotional information: No stress

[0383] Feedback prompt for user ideas:

[0384] User Idea: Kiwi on Pizza

[0385] Emotion information: favorable

[0386] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0387] Step 1: Enter user login information

[0388] When a user logs in to the terminal for the first time, a screen is displayed for entering the user's profile information (such as name, hobbies, preferences, etc.).

[0389] Input: Profile information you enter, such as your name, hobbies, and preferences.

[0390] Output: Sending profile information from device to server.

[0391] Specifically, the user inputs "Name: Tanaka," "Hobbies: Cooking," "Favorites: Japanese cuisine," etc. This information is then sent from the terminal to the server.

[0392] Step 2: Save your profile information

[0393] The server stores the transmitted information in a database.

[0394] Input: User profile information sent from the device.

[0395] Output: User profile information stored in a database.

[0396] For example, store "Name: Tanaka", "Hobbies: Cooking", "Preferences: Japanese cuisine", etc. in the "User" table of the database.

[0397] Step 3: Obtaining real-time information during user use

[0398] Each time the user uses the app, the device obtains the current time, location information, and weather information.

[0399] Input: System time, data from the Location API, and Weather API.

[0400] Output: Sending time, location and weather information to the server.

[0401] For example, when the app is opened, the information "Time: 7:00", "Location: Tokyo", and "Weather: Sunny" is obtained and sent to the server.

[0402] Step 4: Acquiring emotional information

[0403] The emotion engine analyzes the user's facial expressions, voice, input content, etc. to obtain emotional information.

[0404] Input: User's camera footage, audio data, and input text.

[0405] Output: Sending the analyzed emotion information to the server.

[0406] As an example of how it works, the camera recognizes the user's face, and the analysis results are used to obtain data such as "emotion: no stress" and send it to the server.

[0407] Step 5: Personalized idea generation request

[0408] The server sends the acquired time, location information, weather information, user profile information, and emotion information to the generation AI.

[0409] Input: Time, location, weather, profile, emotion.

[0410] Output: Sends the prompt to the generation AI.

[0411] As an example of a prompt, the following data is sent to the generation AI: "Time: 7 o'clock, Location: Tokyo, Weather: Sunny, Hobby: Cooking, Emotion: No stress."

[0412] Step 6: Personalized idea generation

[0413] The generative AI refers to the idea database and generates new ideas suitable for the user based on this information.

[0414] Input: Prompt text from the server.

[0415] Output: Generated ideas.

[0416] As an example of how it works, it generates the idea, "Try an omelet with fresh vegetables for breakfast. It's delicious with tomatoes and basil."

[0417] Step 7: Distributing your ideas to users

[0418] The server transmits the generated ideas to the terminal.

[0419] Input: Ideas from generative AI.

[0420] Output: Sending ideas to a device.

[0421] Send the idea data "Try an omelet made with fresh vegetables for breakfast. It's delicious with tomatoes and basil added." to the device.

[0422] Step 8: View your ideas

[0423] The terminal displays the ideas to the user.

[0424] Input: Idea data from the server.

[0425] Output: Display the idea on the user screen.

[0426] Specifically, the app screen displays the message, "Try an omelet made with fresh vegetables for breakfast. It's delicious with tomatoes and basil."

[0427] Step 9: Accepting user ideas

[0428] The user inputs their idea.

[0429] Input: User's idea text.

[0430] Output: The input ideas.

[0431] Specifically, the user inputs "How about putting kiwi on pizza?"

[0432] Step 10: Submitting user ideas to the server

[0433] The terminal transmits the user's input ideas to the server.

[0434] Input: Ideas entered by users.

[0435] Output: Sending ideas to the server.

[0436] The idea data "Put kiwi on pizza" is sent to the server.

[0437] Step 11: Request feedback generation

[0438] The server passes the input idea and acquired emotional information to the generation AI.

[0439] Input: User ideas, emotional information.

[0440] Output: Send prompt to the generation AI.

[0441] An example prompt is sent to the generation AI: "User idea: put kiwi on pizza, emotion: positive."

[0442] Step 12: Generate idea feedback

[0443] The generative AI generates feedback on the user's ideas based on an idea database.

[0444] Input: Prompt text from the server.

[0445] Output: The generated feedback.

[0446] As an example of how it works, it generates feedback such as, "The sourness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[0447] Step 13: Sending feedback to the server

[0448] The generating AI sends the generated feedback to the server.

[0449] Input: Generated feedback.

[0450] Output: Sending feedback to the server.

[0451] Send the following feedback to the server: "The tartness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[0452] Step 14: Deliver feedback to users

[0453] The server transmits the generated feedback to the terminal.

[0454] Input: Feedback from the generative AI.

[0455] Output: Sending feedback to the device.

[0456] Send the following feedback to the device: "The tartness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[0457] Step 15: Viewing feedback

[0458] The terminal displays the feedback to the user.

[0459] Input: Feedback data from the server.

[0460] Output: Feedback displayed on the user's screen.

[0461] Specifically, the app screen displays the message, "The sourness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[0462] (Application example 2)

[0463] 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."

[0464] Conventional systems have difficulty providing personalized suggestions and feedback to users. In particular, they have been unable to provide personalized product recommendations and feedback in real time that take into account the user's emotional information, which has resulted in a lack of improvement in the user experience. This can lead to a decrease in user satisfaction and a decrease in purchase rates in virtual stores.

[0465] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0466] In this invention, the server includes means for acquiring a user's time zone, means for acquiring user location information, means for acquiring user weather information, means for acquiring information on the user's hobbies and preferences, means for acquiring user emotional information, means for generating personalized ideas based on the acquired information, means for displaying the generated ideas to the user, means for accepting idea input from the user, means for examining the ideas input by the user and generating feedback, means for making individually optimized product recommendations based on the user's purchasing behavior in a virtual store, means for providing ideas and feedback based on the emotional information, and means for displaying the generated feedback to the user. This makes it possible to provide product recommendations and feedback that are optimized in real time based on the user's emotional information and various information.

[0467] The "means for acquiring the user's time zone" is for collecting the current time information when the user uses the system.

[0468] The "means for obtaining user location information" is a means for detecting and collecting information about the user's current geographical location.

[0469] The "means for acquiring weather information for the user" refers to the collection of data in cooperation with an external weather information service in order to acquire the current weather conditions in the user's location.

[0470] The "means for acquiring information about the user's hobbies and preferences" refers to collecting data about the user's interests and preferences based on the profile information registered by the user and the user's past behavioral history.

[0471] The "means for acquiring user emotional information" is a means for analyzing the user's facial expressions, voice, input contents, etc. to detect the current emotional state and collect that information.

[0472] The "means for generating personalized ideas" is a means for generating proposals and ideas that are optimized to the user's needs based on various acquired information.

[0473] The "means for displaying generated ideas to the user" is a means for visually showing the generated ideas and suggestions to the user.

[0474] The "means for accepting idea input from the user" is used to collect information when the user inputs their own ideas or requests into the system.

[0475] The "means for reviewing ideas input by users and generating feedback" is a means for evaluating ideas provided by users and generating suggestions for improvements or additions to them.

[0476] "A means for individually optimizing product recommendations based on a user's purchasing behavior in a virtual store" is a means for recommending optimal products based on the user's behavioral data when browsing or purchasing in a virtual store.

[0477] The "means for providing ideas and feedback based on emotional information" is a means for providing appropriate ideas and feedback by taking into account the emotional state of the user.

[0478] The "means for displaying the generated feedback to the user" is a means for visually showing the generated feedback to the user.

[0479] The system of the present invention provides personalized ideas to users and further optimizes feedback on the user's ideas based on emotion information. Specific embodiments of the system are described below.

[0480] System configuration and information collection

[0481] The system is equipped with a means for acquiring information about the user's time zone, location, weather, hobbies and preferences, and emotional information. Specifically, this information is collected using a device such as a smartphone and sent to a server. Emotional information is acquired by analyzing the user's facial expressions and voice data using an emotion recognition engine.

[0482] Personalized idea generation

[0483] The server inputs the acquired information into the generation AI to generate personalized ideas suitable for the user. This generation AI references an idea database and generates new ideas using prompts based on the user information. The generated ideas are displayed on the user's device via the server.

[0484] User idea feedback

[0485] When a user inputs a new idea, the information is sent to the server via the device. The server then sends the input idea along with emotional information to the generation AI, which then generates feedback and improvement suggestions based on the idea database. This feedback is optimized based on the user's emotional information, making it more effective. The generated feedback is then displayed on the user's device via the server.

[0486] Specific examples

[0487] Personalized product recommendation example

[0488] User: Considering buying sneakers in a virtual store.

[0489] Terminal: Obtains current location (Tokyo), weather (sunny), and time (14:00), analyzes emotional information (excitement level), and sends this information to the server.

[0490] Server: Sends the acquired information to the generation AI and generates individually optimized product proposals.

[0491] Generative AI: Generates a suggestion such as, "We recommend these casual sneakers that are perfect for the sunny weather in Tokyo right now. They are on sale in limited quantities."

[0492] Server: Sends the generated suggestions to the device and displays them to the user.

[0493] Prompt Sentence Examples

[0494] Prompt:

[0495] "User information: Hobbies: Sports, Preferences: Casual fashion, Location: Tokyo, Weather: Sunny, Time: 2:00 PM, Emotional information: Excited, User request: I want new sneakers for the office."

[0496] Generated suggestions:

[0497] "Since users are in a state of excitement, we are proposing 'casual sneakers with excellent comfort and design' to further lift their spirits. In particular, our latest sneakers are perfect for the sunny weather we're currently experiencing in Tokyo. They are on sale now, in limited quantities."

[0498] This allows the system to provide optimized product recommendations and feedback in real time based on the user's emotional information and various other information.

[0499] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0500] Step 1:

[0501] Obtaining and saving user information

[0502] When a user logs in for the first time, the device displays a screen for entering profile information (such as name, hobbies, preferences, etc.) The information entered by the user is sent to the server and stored in a database for further analysis and idea generation.

[0503] Input: User profile information

[0504] Output: User information stored in the database

[0505] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[0506] Step 2:

[0507] Current information gathering

[0508] Each time a user uses the app, the device obtains the current time, location, and weather information. Weather information is obtained from a weather information service via an API. The device also uses an emotion engine to analyze the user's facial expressions and voice to obtain emotional information. This information is then sent to the server.

[0509] Input: Time, location, weather, emotion

[0510] Output: Current information sent to the server

[0511] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[0512] Step 3:

[0513] Personalized idea generation

[0514] The server sends the acquired time, location, weather, user profile, and emotional information to the generation AI to generate personalized ideas. The generation AI then references the idea database based on this information to generate new ideas.

[0515] Input: User information, current information (time, location, weather, emotion)

[0516] Data processing / data calculation: Combining information to generate AI that generates appropriate ideas

[0517] Output: Generated personalized ideas

[0518] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[0519] Step 4:

[0520] Viewing ideas

[0521] The server transmits the generated ideas to the terminal, which displays the ideas to the user.

[0522] Input: Generated personalized ideas

[0523] Output: Display the idea to the user

[0524] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[0525] Step 5:

[0526] Obtaining user ideas

[0527] When a user inputs a new idea, the device sends the idea to the server, which includes the text data entered by the user.

[0528] Input: User-entered ideas

[0529] Output: User ideas sent to the server

[0530] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[0531] Step 6:

[0532] Generate feedback

[0533] The server sends the idea entered by the user and the acquired emotional information to the generation AI, which then generates feedback and improvement suggestions for the entered idea based on the idea database.

[0534] Input: User input ideas, emotional information

[0535] Data processing / data calculation: Generative AI generates optimal feedback based on an idea database

[0536] Output: The generated feedback

[0537] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[0538] Step 7:

[0539] View Feedback

[0540] The server sends the generated feedback to the terminal, which displays the feedback to the user.

[0541] Input: Generated feedback

[0542] Output: Display feedback to the user

[0543] 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.

[0544] 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.

[0545] 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.

[0546] [Second embodiment]

[0547] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0548] 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.

[0549] 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).

[0550] 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.

[0551] 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.

[0552] 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).

[0553] 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.

[0554] 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.

[0555] 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.

[0556] 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.

[0557] In the smart glasses 214, the 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.

[0558] 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."

[0559] The system of the present invention provides users with personalized ideas and generates feedback to help them improve their own ideas. The system acquires information about the user's time zone, location, weather, hobbies, and preferences, and the AI ​​generates new ideas based on this information.

[0560] System configuration and operation

[0561] 1. Acquiring and storing user information

[0562] When a user logs in for the first time, the device displays a screen where the user can enter their profile information (such as name, hobbies, and preferences). This information is sent to the server and stored in a database. Each time the user uses the app, the device obtains the current time, location, and weather information, which is then sent to the server.

[0563] 2. Personalized idea generation

[0564] The server sends the acquired time, location, weather, and user profile information to the generation AI, which then references a vast database of ideas accumulated in the past to generate new ideas suited to the user. The generated ideas are sent to the device via the server and displayed to the user.

[0565] 3. Feedback on user ideas

[0566] When a user inputs their idea, the device sends it to the server. The server passes the input idea to the generation AI, which generates feedback and suggestions for improvement for the user's idea based on the idea database. The generated feedback is sent to the device via the server and displayed to the user.

[0567] Specific examples

[0568] Example 1: Providing personalized ideas

[0569] User: A cooking enthusiast opens the app at 7am.

[0570] Device: Obtain the current location (Tokyo), weather (sunny), and time (7:00) and send them to the server.

[0571] Server: Sends this information to the generation AI.

[0572] Generative AI: Generates ideas like, "Try an omelet with fresh vegetables for breakfast. Adding tomatoes and basil is delicious."

[0573] Server: Sends the generated ideas to the device.

[0574] Terminal: Displays the idea to the user.

[0575] Example 2: Bouncing ideas off each other and giving feedback

[0576] User: Enters "What about kiwi on pizza" as a new recipe idea.

[0577] Terminal: Send this idea to the server.

[0578] Server: Sends the input ideas to the generation AI.

[0579] Generative AI: Generates feedback such as, "The tartness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[0580] Server: Sends feedback to the device.

[0581] Terminal: Display feedback to the user.

[0582] In this way, the system of the present invention continuously provides users with personalized ideas and provides feedback to further develop their own ideas, allowing users to obtain fresh ideas every day and enhance their own creativity.

[0583] The processing flow will be explained below.

[0584] Step 1:

[0585] The user launches the app.

[0586] The device displays a login screen and prompts the user to enter a username and password.

[0587] Step 2:

[0588] The user enters the username and password and clicks the "Login" button.

[0589] The device sends the login information to the server.

[0590] Step 3:

[0591] The server authenticates the user information and obtains profile information (name, hobbies, preferences, etc.). If this is the first time the user logs in, the server instructs the device to display a profile entry screen for the user.

[0592] Step 4:

[0593] The user enters profile information and presses the "Submit" button.

[0594] The device transmits the entered profile information to the server.

[0595] The server stores the profile information in a database.

[0596] Step 5:

[0597] The user launches the app.

[0598] Your device gets the current time, location, and weather information.

[0599] The terminal transmits this information to the server.

[0600] Step 6:

[0601] The server sends the received time, location information, weather information, and user profile information to the generation AI.

[0602] Step 7:

[0603] The generation AI refers to the idea database and generates personalized ideas based on the user's information, then returns the generated ideas to the server.

[0604] Step 8:

[0605] The server transmits the generated ideas to the terminal.

[0606] The terminal displays the idea to the user.

[0607] Step 9:

[0608] The user enters their idea into the app's idea input form.

[0609] The terminal transmits the input idea to the server.

[0610] Step 10:

[0611] The server sends the received ideas to the generation AI.

[0612] The generation AI generates feedback and improvement suggestions for the user's ideas based on the idea database, and returns the generated feedback to the server.

[0613] Step 11:

[0614] The server transmits the generated feedback to the terminal.

[0615] The device displays the feedback to the user.

[0616] Through this process, users receive a constant stream of personalized ideas and can further refine their ideas through feedback provided by the generative AI.

[0617] Example 1

[0618] 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."

[0619] Conventional idea generation systems lack personalization for users, making it difficult to provide appropriate ideas tailored to each user's individual characteristics and circumstances. Furthermore, they lack the ability to provide effective feedback on ideas spontaneously proposed by users, preventing them from fully drawing out the user's creativity. This results in limited satisfaction and usefulness for users.

[0620] 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.

[0621] In this invention, the server includes means for acquiring user time information, means for acquiring user location information, means for acquiring user weather information, means for acquiring information on the user's hobbies and preferences, means for generating personalized ideas using a generative AI model based on the acquired information, means for displaying the generated ideas on a user terminal, means for accepting idea input from a user, means for converting the idea input from the user into a prompt sentence and generating feedback using the generative AI model, and means for displaying the generated feedback on a user terminal. This makes it possible to provide personalized ideas according to the user's characteristics and situation, and by providing appropriate feedback to the user's suggestions, it is possible to enhance the user's creativity.

[0622] The "means for acquiring user time information" is a function for acquiring the time when the user is using the system.

[0623] The "means for acquiring user location information" is a function for acquiring the user's current geographical location.

[0624] The "means for acquiring weather information for the user" is a function for acquiring the weather information for the location where the user is located.

[0625] The "means for acquiring information about the user's hobbies and preferences" is a function for acquiring information about the user's interests and preferences.

[0626] "Means for generating personalized ideas using generative AI models" refers to a function for generating personalized proposals and ideas using generative AI models based on acquired information.

[0627] The "means for displaying the generated idea on the user terminal" is a function for displaying the generated idea on the terminal used by the user.

[0628] The "means for accepting idea input from the user" is a function that allows the user to input his or her own ideas or suggestions.

[0629] "Means for converting ideas entered by a user into prompt sentences and generating feedback using a generative AI model" refers to a function that analyzes ideas entered by a user, converts them into prompt sentences, and automatically generates feedback for those ideas using a generative AI model.

[0630] The "means for displaying the generated feedback on the user terminal" is a function for displaying the generated feedback on the terminal used by the user.

[0631] The system of the present invention provides users with personalized ideas and generates feedback to help them improve their own ideas. The system acquires information about the user's time, location, weather, hobbies, and preferences, and the AI ​​generates new ideas based on this information.

[0632] Obtaining and saving user information

[0633] When a user logs in for the first time, the device displays a screen where they can enter profile information such as their name, hobbies, and preferences. After the user enters this information, the device sends the data to the server. The server stores the received information in a database (for example, MySQL or PostgreSQL). Additionally, each time the user uses the app, the device obtains the current time, location information (using the GPS sensor), and weather information (from an external API, for example, OpenWeatherMap), and sends this data to the server. The server updates the received information in the database for each user.

[0634] Personalized idea generation

[0635] The server generates a prompt for the generative AI model (for example, OpenAI's GPT or BERT) based on the saved user profile information and current time, location, and weather information. For example, it generates a prompt such as, "Current location is Tokyo, weather is sunny, time is 7 o'clock. My hobby is cooking. Please give me some new breakfast ideas." The server sends the generated prompt to the generative AI. The generative AI generates the best idea for the user based on the prompt. The generated idea is sent to the server, and the server sends it to the device. The device displays the generated idea to the user.

[0636] User idea feedback

[0637] When a user inputs their idea, the device sends it to the server. The server converts the input idea into a prompt and generates feedback using a generative AI model. For example, the server generates a prompt such as, "The user suggested 'How about putting kiwi on pizza?' Please provide your feedback." The generative AI generates feedback based on the prompt, providing advice such as, "The sourness and sweetness of kiwi go well with tomato sauce, but try combining it with mozzarella cheese." The generated feedback is sent to the device via the server, and the device displays it to the user.

[0638] Specific examples

[0639] Example 1: Providing personalized ideas

[0640] User: A cooking enthusiast opens the app at 7am.

[0641] Device: Obtain the current location (Tokyo), weather (sunny), and time (7:00) and send them to the server.

[0642] Server: Create a prompt to send this information to the generation AI: "Current location: Tokyo, weather: sunny, time: 7 o'clock. My hobby is cooking. Please provide some new breakfast ideas."

[0643] Generative AI: Generates ideas like, "Try an omelet with fresh vegetables for breakfast. Adding tomatoes and basil is delicious."

[0644] Server: Sends the generated ideas to the device.

[0645] Terminal: Displays the idea to the user.

[0646] Example 2: Bouncing ideas off each other and giving feedback

[0647] User: Enters "What about kiwi on pizza" as a new recipe idea.

[0648] Terminal: Send this idea to the server.

[0649] Server: Converts the input idea into a prompt to be sent to the generative AI. "The user suggested 'How about putting kiwi on pizza?' Please provide feedback."

[0650] Generative AI: Generates feedback such as, "The tartness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[0651] Server: Sends feedback to the device.

[0652] Terminal: Display feedback to the user.

[0653] In this way, the system of the present invention continuously provides users with personalized ideas and provides feedback to further develop their own ideas, allowing users to obtain fresh ideas every day and enhance their own creativity.

[0654] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0655] Step 1:

[0656] When a user logs in for the first time, the device displays a screen where they can enter profile information such as their name, hobbies, and preferences.

[0657] Input: User profile information (name, hobbies, preferences, etc.).

[0658] Output: The profile information entered.

[0659] Specific operation: The device temporarily stores the profile information entered by the user and sends it to the server.

[0660] Step 2:

[0661] Every time a user uses the app, the device obtains the current time, location information (using the GPS sensor), and weather information (obtained from an external API).

[0662] Input: Device sensors and API requests.

[0663] Output: Current time, location, and weather information.

[0664] Specific operation: Obtain location information from the device's sensors, obtain weather information from an external API, and obtain the current time from the system clock.

[0665] Step 3:

[0666] The terminal transmits the information acquired in step 2 to the server.

[0667] Input: Current time, location, and weather information.

[0668] Output: Information sent to the server.

[0669] Specific operation: The terminal sends this information to the server using a communication method such as an HTTP request.

[0670] Step 4:

[0671] The server stores or updates the information received in steps 1 and 2 in a database.

[0672] Input: User profile information, current time, location, and weather information.

[0673] Output: Information saved or updated in the database.

[0674] Specific operation: The server saves or updates the received information in the corresponding user's record in the database.

[0675] Step 5:

[0676] The server generates prompt sentences for the generative AI model based on the saved user profile information and current time, location, and weather information.

[0677] Input: Information stored in a database.

[0678] Output: The generated prompt statement.

[0679] Specific operation: The server references the saved information and generates a prompt sentence according to the specified format. Example: "Current location is Tokyo, weather is sunny, time is 7 o'clock. Hobby is cooking. Please give me some new breakfast ideas."

[0680] Step 6:

[0681] The server sends the generated prompt to the generation AI.

[0682] Input: The generated prompt statement.

[0683] Output: The prompt sent to the generation AI.

[0684] Specific operation: The server sends a prompt to the generation AI API and requests idea generation.

[0685] Step 7:

[0686] The generative AI generates new ideas that are best suited to the user based on the prompt text.

[0687] Input: Prompt statement.

[0688] Output: Generated ideas.

[0689] Specific operation: The generative AI analyzes the prompt sentence and generates appropriate ideas by referring to its internal database.

[0690] Step 8:

[0691] The generating AI sends the generated ideas back to the server.

[0692] Input: Ideas generated by generative AI.

[0693] Output: The ideas sent back to the server.

[0694] Specific operation: The generation AI returns the generated ideas to the server as an API response.

[0695] Step 9:

[0696] The server transmits the generated ideas to the terminal.

[0697] Input: Generated ideas.

[0698] Output: Ideas sent to the terminal.

[0699] Specific operation: The server transmits the generated ideas to the terminal via a communication means.

[0700] Step 10:

[0701] The terminal displays the generated ideas to the user.

[0702] Input: Ideas sent by the server.

[0703] Output: The idea displayed on the user's terminal.

[0704] Specific operation: The terminal displays the generated ideas on a GUI so that the user can view them.

[0705] Step 11:

[0706] When the user inputs his / her idea, the terminal transmits the idea to the server.

[0707] Input: Ideas entered by the user into the terminal.

[0708] Output: The ideas sent to the server.

[0709] Specific operation: The terminal sends the idea entered by the user to the server via a communication method such as an HTTP request.

[0710] Step 12:

[0711] The server converts the user's idea into a prompt sentence and sends it to the generation AI.

[0712] Input: User-entered ideas.

[0713] Output: The prompt to send to the generation AI.

[0714] Specific operation: The server takes the user's idea as a parameter and converts it into a format that the AI ​​can understand, then generates a prompt. Example: "The user suggested 'How about putting kiwi on pizza?' Please provide feedback."

[0715] Step 13:

[0716] The generative AI generates feedback based on the prompt text.

[0717] Input: The generated prompt statement.

[0718] Output: The generated feedback.

[0719] Specific behavior: The generative AI analyzes the prompt sentence and generates appropriate feedback by referring to its internal database. Example: "The sour and sweet taste of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[0720] Step 14:

[0721] The generating AI sends the generated feedback back to the server.

[0722] Input: Feedback generated by the generative AI.

[0723] Output: Feedback sent back to the server.

[0724] Specific operation: The generation AI returns the generated feedback to the server as an API response.

[0725] Step 15:

[0726] The server transmits the generated feedback to the terminal.

[0727] Input: Generated feedback.

[0728] Output: Feedback sent to the device.

[0729] Specific operation: The server transmits the generated feedback to the terminal via a communication means.

[0730] Step 16:

[0731] The terminal displays the generated feedback to the user.

[0732] Input: Feedback sent by the server.

[0733] Output: Feedback displayed on the user's terminal.

[0734] Specific operation: The device displays the generated feedback on the GUI so that the user can view it.

[0735] (Application example 1)

[0736] 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."

[0737] Conventional food delivery systems lack personalized suggestions based on users' habits and preferences, making it difficult for users to get suggestions and feedback on new dishes or menu items when trying them. Also, when users come up with new ideas, there is no way to get immediate feedback to improve them from other perspectives.

[0738] 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.

[0739] In this invention, the server includes means for acquiring the user's time zone, means for acquiring the user's location information, means for acquiring the user's weather information, means for acquiring information on the user's hobbies and preferences, means for generating personalized ideas based on the acquired information, means for displaying the generated ideas to the user, means for accepting idea input from the user, means for reviewing the ideas input by the user and generating feedback, means for displaying the generated feedback to the user, and means for suggesting dishes and menus based on the user's food delivery purchase history and local information. This not only enables users to receive personalized dish and menu suggestions tailored to their individual circumstances and preferences, but also allows them to receive feedback on their own ideas, significantly improving the means for enjoying new dishes and menus.

[0740] The "means for acquiring the user's time zone" is a device or software that collects information on the user's behavior during a specific time zone.

[0741] The "means for acquiring user location information" refers to a device or software that acquires information about the user's current location.

[0742] The "means for acquiring user's weather information" refers to a device or software that acquires information about the user's current weather.

[0743] The "means for acquiring information about a user's hobbies and preferences" refers to a device or software that collects data about a user's interests and preferences.

[0744] The "means for generating personalized ideas based on acquired information" refers to a device or software that generates ideas specific to a user based on collected information.

[0745] The "means for displaying the generated ideas to the user" is a device or software that visually presents the generated ideas to the user.

[0746] The "means for accepting idea input from a user" refers to a device or software that receives ideas input by a user.

[0747] The "means for examining ideas input by users and generating feedback" refers to a device or software that analyzes ideas input by users and suggests improvements.

[0748] The "means for displaying generated feedback to the user" is a device or software that visually presents the generated feedback to the user.

[0749] "Means for suggesting dishes and menus based on a user's purchase history and local information in food delivery" refers to a device or software that suggests personalized dishes and menus based on a user's past ordering history and local information.

[0750] The system embodying the present invention proposes personalized dishes and menus in a food delivery application by taking into account a user's purchase history, local information, weather information, time of day, and preferences and hobbies, and also generates and provides feedback to the user on new ideas submitted by the user.

[0751] System configuration

[0752] server

[0753] It has functions for obtaining and saving user information.

[0754] Idea generation and feedback generation are performed using generative AI.

[0755] The database stores user profile information, purchase history, and idea data.

[0756] Terminal

[0757] Users access the application using their smartphones.

[0758] Provides a screen for entering and displaying user profile information when logging in.

[0759] It has the function of obtaining the current time, location information, and weather information.

[0760] Data acquisition and processing

[0761] The server uses the following main hardware and software:

[0762] Python: for the overall program control logic

[0763] API (HTTP communication): For obtaining user and weather information and interfacing with the generating AI

[0764] Generative AI: For personalized food and menu suggestions, and feedback generation for user ideas

[0765] When a user logs in to the application, the server stores information in a database based on the user's profile information (such as name, hobbies, preferences, etc.) The device obtains the user's current time, location, and weather information and sends it to the server.

[0766] Generate personalized suggestions

[0767] The server sends the acquired current time, location information, weather information, and user profile information to the generation AI, which then refers to a database of previously accumulated ideas to generate ideas for dishes and menus suitable for the user. These ideas are sent to the device via the server and displayed to the user.

[0768] Generate feedback

[0769] When a user inputs an idea for a new menu or dish, the device sends the idea to the server. The server passes the idea to the generation AI, which generates feedback for the user's idea based on the idea database. The generated feedback is sent to the device via the server and displayed to the user.

[0770] Specific examples

[0771] For example, if a user indicates to the application that they live in Tokyo and would like to order breakfast at 8 a.m. before work, the system will consider the user's location (Tokyo), current weather (sunny), time (8 a.m.), and preferences based on their profile information (e.g., a preference for Japanese food) and suggest a rice ball set meal and hot miso soup. If the user then inputs a question about bamboo shoots as a new rice ball filling, the system will provide feedback on the idea, saying, "Bamboo shoots are a good idea for a rice ball filling, but adding bonito flakes will enhance the flavor."

[0772] This allows users to receive feedback on specialized menu suggestions and ideas on a daily basis to improve their dining experience.

[0773] Prompt Sentence Examples

[0774] User Profile:

[0775] Location: Tokyo

[0776] Time: 8:00 AM

[0777] Weather: Sunny

[0778] Favorite food: Japanese food

[0779] By entering the above prompt sentence, the system can make personalized menu suggestions that are best suited to the user.

[0780] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0781] Step 1:

[0782] A user logs in to an application on a smartphone device. When logging in, the user enters their profile information (name, hobbies, preferences, etc.), which is collected by the device and sent to the server. Input: User's profile information. Output: Sending profile information to the server.

[0783] Step 2:

[0784] The device uses the device's built-in functions and APIs to obtain the current time, location, and weather information. The obtained information is sent to the server. Input: Time, location, and weather information obtained from the device's built-in functions and APIs. Output: Current time, location, and weather information sent to the server.

[0785] Step 3:

[0786] The server stores the received profile information, current time, location information, and weather information in a database. Input: Information sent from the device. Output: Information saved in the database.

[0787] Step 4:

[0788] The server requests the generation AI to suggest personalized dishes and menus based on the information received. The generation AI references a database of past ideas to generate new ideas. Input: saved profile information, current time, location, weather information. Output: personalized suggestions.

[0789] Step 5:

[0790] The food and menu suggestions generated by the generative AI are sent to the device via the server and displayed to the user on the device. Input: Personalized suggestions from the generative AI. Output: Display of suggestions on the user's device.

[0791] Step 6:

[0792] The user inputs ideas for new dishes or menus into the terminal and sends the information to the server. Input: User's ideas. Output: User's ideas sent to the server.

[0793] Step 7:

[0794] The server passes the received user ideas to the generation AI, which then generates feedback based on the idea database. Input: User's idea. Output: Generated feedback.

[0795] Step 8:

[0796] The feedback generated by the generation AI is sent to the terminal via the server and displayed to the user on the terminal. Input: Feedback from the generation AI. Output: Display of feedback on the user terminal.

[0797] This allows users to receive suggestions for dishes and menus that suit their individual circumstances and preferences, and also receive feedback on their own ideas.

[0798] 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.

[0799] The system of the present invention not only provides personalized ideas to users and generates feedback to help users improve their own ideas, but also recognizes the user's emotions to further customize the ideas and feedback. Specific operations of the system are described below.

[0800] System configuration and operation

[0801] 1. Acquiring and storing user information

[0802] When a user logs in for the first time, the device displays a screen where the user can enter their profile information (such as name, hobbies, and preferences). This information is sent to the server and stored in a database. Each time the user uses the app, the device obtains the current time, location, and weather information. This information is sent to the server. The emotion engine also analyzes the user's facial expressions, voice, and input content to obtain emotional information. This emotional information is also sent to the server.

[0803] 2. Personalized idea generation

[0804] The server sends the acquired time, location, weather, user profile, and emotion information to the generation AI. The generation AI then references the idea database and generates new ideas suitable for the user based on this information. The generated ideas are sent to the device via the server and displayed to the user.

[0805] 3. Feedback on user ideas

[0806] When a user inputs their idea, the device sends it to the server. The server passes the input idea and the acquired emotional information to the generation AI, which then generates feedback and suggestions for improvement for the user's idea based on the idea database. The generated feedback is sent to the device via the server and displayed to the user.

[0807] Specific examples

[0808] Example 1: Providing personalized ideas

[0809] User: A cooking enthusiast opens the app at 7am.

[0810] Device: Obtains the current location (Tokyo), weather (sunny), and time (7:00) and sends them to the server. It also analyzes the user's facial expressions and voice to obtain emotional information, which is also sent to the server.

[0811] Server: Sends this information to the generation AI.

[0812] Generative AI: Generates the idea, "Try an omelet with fresh vegetables for breakfast. It tastes good with tomatoes and basil." This idea is suggested based on emotional information that the user is not stressed.

[0813] Server: Sends the generated ideas to the device.

[0814] Terminal: Displays the idea to the user.

[0815] Example 2: Bouncing ideas off each other and giving feedback

[0816] User: Enters "What about kiwi on pizza" as a new recipe idea.

[0817] Terminal: Send this idea to the server.

[0818] Server: Sends the input idea and user's emotional information to the generation AI.

[0819] Generative AI: Generates feedback such as, "The sour and sweet taste of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese." This feedback is suggested based on the user's positive sentiment.

[0820] Server: Sends feedback to the device.

[0821] Terminal: Display feedback to the user.

[0822] In this way, the system of the present invention provides users with personalized, emotion-based ideas and provides feedback to further develop their own ideas, thereby enabling users to enhance their creativity at a deeper level.

[0823] The processing flow will be explained below.

[0824] Step 1:

[0825] The user launches the app.

[0826] The device displays a login screen and prompts the user to enter a username and password.

[0827] Step 2:

[0828] The user enters the username and password and clicks the "Login" button.

[0829] The device sends the login information to the server.

[0830] Step 3:

[0831] The server authenticates the user information and obtains profile information (name, hobbies, preferences, etc.). If this is the first time the user logs in, the server instructs the device to display a profile entry screen for the user.

[0832] Step 4:

[0833] The user enters profile information and presses the "Submit" button.

[0834] The device transmits the entered profile information to the server.

[0835] The server stores the profile information in a database.

[0836] Step 5:

[0837] The user launches the app.

[0838] Your device gets the current time, location, and weather information.

[0839] The terminal transmits this information to the server.

[0840] Step 6:

[0841] The device analyzes the user's facial expressions, voice, and input content to obtain emotional information about the user, which is then sent to the server.

[0842] Step 7:

[0843] The server sends the received time, location information, weather information, user profile information, and emotion information to the generation AI.

[0844] Step 8:

[0845] The generation AI refers to the idea database and generates personalized ideas based on the user's information and emotions, and returns the generated ideas to the server.

[0846] Step 9:

[0847] The server transmits the generated ideas to the terminal.

[0848] The terminal displays the idea to the user.

[0849] Step 10:

[0850] The user enters their idea into the app's idea input form.

[0851] The terminal transmits the input idea to the server.

[0852] Step 11:

[0853] The server sends the received ideas and acquired emotional information to the generation AI.

[0854] The generative AI generates feedback and improvement suggestions for the user's idea based on the idea database, and returns the generated feedback to the server.

[0855] Step 12:

[0856] The server transmits the generated feedback to the terminal.

[0857] The device displays the feedback to the user.

[0858] This allows users to receive personalized ideas that also reflect emotional information, and receive feedback to further develop their ideas.

[0859] Example 2

[0860] 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."

[0861] In today's information-saturated society, it is not easy for users to generate creative ideas on their own. Furthermore, obtaining personalized ideas and feedback that reflect the user's situation and emotions requires a great deal of time and effort. Therefore, there is a need for a system that can provide personalized ideas that reflect the user's individual situation and quickly provide appropriate feedback on the ideas entered by the user.

[0862] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0863] In this invention, the server includes means for acquiring the user's time zone, means for acquiring the user's location information, means for acquiring the user's weather information, means for acquiring information on the user's hobbies and preferences, means for acquiring the user's emotional information, means for generating personalized ideas based on the acquired information, means for displaying the generated ideas to the user, means for accepting idea input from the user, means for examining the ideas and emotional information input by the user and generating feedback, and means for displaying the generated feedback to the user. This allows the user to quickly obtain personalized ideas that suit their own situation and emotions, and further allows them to receive appropriate feedback on their own ideas.

[0864] The "means for acquiring the user's time zone" is a mechanism for acquiring the specific time zone (e.g., morning, afternoon, night) during which the user is using the application.

[0865] "Means for obtaining user location information" refers to a mechanism for obtaining geographical information such as the latitude and longitude of the user's current location, city name, and country name.

[0866] The "means for acquiring weather information for the user" is a mechanism for acquiring information about the weather in the area where the user is currently located (e.g., sunny, rainy, snowy, wind speed, humidity, etc.).

[0867] The "means for acquiring information about the user's hobbies and preferences" is a mechanism for collecting information such as hobbies, interests, and preferences that the user has entered in advance.

[0868] "Means for acquiring user emotional information" refers to a mechanism for analyzing the user's facial expressions, voice, input content, etc., to acquire their emotional state at that time (e.g., joy, sadness, anger, stress, etc.).

[0869] "Means for generating personalized ideas based on acquired information" refers to a mechanism for generating new ideas that are individually suited based on collected data such as the user's time of day, location, weather, hobbies, preferences, and emotions.

[0870] The "means for displaying the generated ideas to the user" is a mechanism for displaying the generated personalized ideas on the user's terminal.

[0871] The "means for accepting idea input from the user" is a mechanism for the user to input their own ideas into the application.

[0872] "Means for scrutinizing ideas and emotional information entered by users and generating feedback" refers to a mechanism for analyzing ideas entered by users and the emotional information they provide at the time, and generating better feedback and suggestions for improvement based on that information.

[0873] The "means for displaying the generated feedback to the user" is a mechanism for displaying the generated feedback on the user's terminal.

[0874] The system of the present invention not only provides users with personalized ideas and generates feedback to help them improve their own ideas, but also recognizes the user's emotions to further customize the ideas and feedback. Specific operations of the system are described below.

[0875] System configuration and operation

[0876] The system of the present invention is configured using a user terminal, a server, an emotion engine, and a generation AI.

[0877] Obtaining and saving user information

[0878] When a user logs in for the first time, the device displays a screen where the user can enter their profile information (such as name, hobbies, and preferences). This information is sent to the server and stored in a database. Each time the user uses the app, the device obtains the current time, location, and weather information. This information is sent to the server. The emotion engine also analyzes the user's facial expressions, voice, and input content to obtain emotional information. This emotional information is also sent to the server.

[0879] Personalized idea generation

[0880] The server sends the acquired time, location, weather, user profile, and emotion information to the generation AI. The generation AI then references the idea database and generates new ideas suitable for the user based on this information. The generated ideas are sent to the device via the server and displayed to the user.

[0881] User idea feedback

[0882] When a user inputs their idea, the device sends it to the server. The server passes the input idea and the acquired emotional information to the generation AI, which then generates feedback and suggestions for improvement for the user's idea based on the idea database. The generated feedback is sent to the device via the server and displayed to the user.

[0883] Specific examples

[0884] Example 1: Providing personalized ideas

[0885] 1. User: A cooking enthusiast opens the app at 7am.

[0886] 2. Device: Obtains the current location (Tokyo), weather (sunny), and time (7:00) and sends them to the server. It also analyzes the user's facial expressions and voice to obtain emotional information, which is also sent to the server.

[0887] 3. Server: Sends this information to the generation AI.

[0888] 4. Generative AI: Generates the idea, "Try an omelet with fresh vegetables for breakfast. It tastes good with tomatoes and basil." This idea is suggested based on the user's emotional information, which indicates that the user is not stressed.

[0889] 5. Server: Sends the generated ideas to the device.

[0890] 6. Terminal: displays the idea to the user.

[0891] Example 2: Bouncing ideas off each other and giving feedback

[0892] 1. User: Enters "What about kiwi on pizza" as a new recipe idea.

[0893] 2. Terminal: Sends this idea to the server.

[0894] 3. Server: Sends the input idea and user emotion information to the generation AI.

[0895] 4. Generative AI: Generates feedback such as, "The sourness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese." This feedback is suggested based on the user's positive sentiment.

[0896] 5. Server: Sends feedback to the device.

[0897] 6. Terminal: Display feedback to the user.

[0898] In this way, the system of the present invention provides users with personalized, emotion-based ideas and provides feedback to further develop their own ideas, thereby enabling users to enhance their creativity at a deeper level.

[0899] Prompt Sentence Examples

[0900] Personalized idea generation prompt:

[0901] User profile: Cooking is my hobby

[0902] Current time: 7am

[0903] Location: Tokyo

[0904] Weather: Sunny

[0905] Emotional information: No stress

[0906] Feedback prompt for user ideas:

[0907] User Idea: Kiwi on Pizza

[0908] Emotion information: favorable

[0909] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0910] Step 1: Enter user login information

[0911] When a user logs in to the terminal for the first time, a screen is displayed for entering the user's profile information (such as name, hobbies, preferences, etc.).

[0912] Input: Profile information you enter, such as your name, hobbies, and preferences.

[0913] Output: Sending profile information from device to server.

[0914] Specifically, the user inputs "Name: Tanaka," "Hobby: Cooking," "Favorites: Japanese cuisine," etc. This information is then sent from the terminal to the server.

[0915] Step 2: Save your profile information

[0916] The server stores the transmitted information in a database.

[0917] Input: User profile information sent from the device.

[0918] Output: User profile information stored in a database.

[0919] For example, store "Name: Tanaka", "Hobbies: Cooking", "Preferences: Japanese cuisine", etc. in the "User" table of the database.

[0920] Step 3: Obtaining real-time information during user use

[0921] Each time the user uses the app, the device obtains the current time, location information, and weather information.

[0922] Input: System time, data from the Location API, and Weather API.

[0923] Output: Sending time, location and weather information to the server.

[0924] For example, when the app is opened, the information "Time: 7:00", "Location: Tokyo", and "Weather: Sunny" is obtained and sent to the server.

[0925] Step 4: Acquiring emotional information

[0926] The emotion engine analyzes the user's facial expressions, voice, input content, etc. to obtain emotional information.

[0927] Input: User's camera footage, audio data, and input text.

[0928] Output: Sending the analyzed emotion information to the server.

[0929] As an example of how it works, the camera recognizes the user's face, and the analysis results are used to obtain data such as "emotion: no stress" and send it to the server.

[0930] Step 5: Personalized idea generation request

[0931] The server sends the acquired time, location information, weather information, user profile information, and emotion information to the generation AI.

[0932] Input: Time, location, weather, profile, emotion.

[0933] Output: Sends the prompt to the generation AI.

[0934] As an example of a prompt, the following data is sent to the generation AI: "Time: 7 o'clock, Location: Tokyo, Weather: Sunny, Hobby: Cooking, Emotion: No stress."

[0935] Step 6: Personalized idea generation

[0936] The generative AI refers to the idea database and generates new ideas suitable for the user based on this information.

[0937] Input: Prompt text from the server.

[0938] Output: Generated ideas.

[0939] As an example of how it works, it generates the idea, "Try an omelet with fresh vegetables for breakfast. It's delicious with tomatoes and basil."

[0940] Step 7: Distributing your ideas to users

[0941] The server transmits the generated ideas to the terminal.

[0942] Input: Ideas from generative AI.

[0943] Output: Sending ideas to a device.

[0944] Send the idea data "Try an omelet made with fresh vegetables for breakfast. It's delicious with tomatoes and basil added." to the device.

[0945] Step 8: View your ideas

[0946] The terminal displays the ideas to the user.

[0947] Input: Idea data from the server.

[0948] Output: Display the idea on the user screen.

[0949] Specifically, the app screen displays the message, "Try an omelet made with fresh vegetables for breakfast. It's delicious with tomatoes and basil."

[0950] Step 9: Accepting user ideas

[0951] The user inputs their idea.

[0952] Input: User's idea text.

[0953] Output: The input ideas.

[0954] Specifically, the user inputs "How about putting kiwi on pizza?"

[0955] Step 10: Submitting user ideas to the server

[0956] The terminal transmits the user's input ideas to the server.

[0957] Input: Ideas entered by users.

[0958] Output: Sending ideas to the server.

[0959] The idea data "Put kiwi on pizza" is sent to the server.

[0960] Step 11: Request feedback generation

[0961] The server passes the input idea and acquired emotional information to the generation AI.

[0962] Input: User ideas, emotional information.

[0963] Output: Send prompt to the generation AI.

[0964] An example prompt is sent to the generation AI: "User idea: put kiwi on pizza, emotion: positive."

[0965] Step 12: Generate idea feedback

[0966] The generative AI generates feedback on the user's ideas based on an idea database.

[0967] Input: Prompt text from the server.

[0968] Output: The generated feedback.

[0969] As an example of how it works, it generates feedback such as, "The sourness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[0970] Step 13: Sending feedback to the server

[0971] The generating AI sends the generated feedback to the server.

[0972] Input: Generated feedback.

[0973] Output: Sending feedback to the server.

[0974] Send the following feedback to the server: "The tartness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[0975] Step 14: Deliver feedback to users

[0976] The server transmits the generated feedback to the terminal.

[0977] Input: Feedback from the generative AI.

[0978] Output: Sending feedback to the device.

[0979] Send the following feedback to the device: "The tartness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[0980] Step 15: Viewing feedback

[0981] The terminal displays the feedback to the user.

[0982] Input: Feedback data from the server.

[0983] Output: Feedback displayed on the user's screen.

[0984] Specifically, the app screen displays the message, "The sourness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[0985] (Application example 2)

[0986] 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."

[0987] Conventional systems have difficulty providing personalized suggestions and feedback to users. In particular, they have been unable to provide personalized product recommendations and feedback in real time that take into account the user's emotional information, which has resulted in a lack of improvement in the user experience. This can lead to a decrease in user satisfaction and a decrease in purchase rates in virtual stores.

[0988] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0989] In this invention, the server includes means for acquiring a user's time zone, means for acquiring user location information, means for acquiring user weather information, means for acquiring information on the user's hobbies and preferences, means for acquiring user emotional information, means for generating personalized ideas based on the acquired information, means for displaying the generated ideas to the user, means for accepting idea input from the user, means for examining the ideas input by the user and generating feedback, means for making individually optimized product recommendations based on the user's purchasing behavior in a virtual store, means for providing ideas and feedback based on the emotional information, and means for displaying the generated feedback to the user. This makes it possible to provide product recommendations and feedback that are optimized in real time based on the user's emotional information and various information.

[0990] The "means for acquiring the user's time zone" is for collecting the current time information when the user uses the system.

[0991] The "means for obtaining user location information" is a means for detecting and collecting information about the user's current geographical location.

[0992] The "means for acquiring weather information for the user" refers to the collection of data in cooperation with an external weather information service in order to acquire the current weather conditions in the user's location.

[0993] The "means for acquiring information about the user's hobbies and preferences" refers to collecting data about the user's interests and preferences based on the profile information registered by the user and the user's past behavioral history.

[0994] The "means for acquiring user emotional information" is a means for analyzing the user's facial expressions, voice, input contents, etc. to detect the current emotional state and collect that information.

[0995] The "means for generating personalized ideas" is a means for generating proposals and ideas that are optimized to the user's needs based on various acquired information.

[0996] The "means for displaying generated ideas to the user" is a means for visually showing the generated ideas and suggestions to the user.

[0997] The "means for accepting idea input from the user" is used to collect information when the user inputs their own ideas or requests into the system.

[0998] The "means for reviewing ideas input by users and generating feedback" is a means for evaluating ideas provided by users and generating suggestions for improvements or additions to them.

[0999] "A means for individually optimizing product recommendations based on a user's purchasing behavior in a virtual store" is a means for recommending optimal products based on the user's behavioral data when browsing or purchasing in a virtual store.

[1000] The "means for providing ideas and feedback based on emotional information" is a means for providing appropriate ideas and feedback by taking into account the emotional state of the user.

[1001] The "means for displaying the generated feedback to the user" is a means for visually showing the generated feedback to the user.

[1002] The system of the present invention provides personalized ideas to users and further optimizes feedback on the user's ideas based on emotion information. Specific embodiments of the system are described below.

[1003] System configuration and information collection

[1004] The system is equipped with a means for acquiring information about the user's time zone, location, weather, hobbies and preferences, and emotional information. Specifically, this information is collected using a device such as a smartphone and sent to a server. Emotional information is acquired by analyzing the user's facial expressions and voice data using an emotion recognition engine.

[1005] Personalized idea generation

[1006] The server inputs the acquired information into the generation AI to generate personalized ideas suitable for the user. This generation AI references an idea database and generates new ideas using prompts based on the user information. The generated ideas are displayed on the user's device via the server.

[1007] User idea feedback

[1008] When a user inputs a new idea, the information is sent to the server via the device. The server then sends the input idea along with emotional information to the generation AI, which then generates feedback and improvement suggestions based on the idea database. This feedback is optimized based on the user's emotional information, making it more effective. The generated feedback is then displayed on the user's device via the server.

[1009] Specific examples

[1010] Personalized product recommendation example

[1011] User: Considering buying sneakers in a virtual store.

[1012] Terminal: Obtains current location (Tokyo), weather (sunny), and time (14:00), analyzes emotional information (excitement level), and sends this information to the server.

[1013] Server: Sends the acquired information to the generation AI and generates individually optimized product proposals.

[1014] Generative AI: Generates a suggestion such as, "We recommend these casual sneakers that are perfect for the sunny weather in Tokyo right now. They are on sale in limited quantities."

[1015] Server: Sends the generated suggestions to the device and displays them to the user.

[1016] Prompt Sentence Examples

[1017] Prompt text:

[1018] "User information: Hobbies: Sports, Preferences: Casual fashion, Location: Tokyo, Weather: Sunny, Time: 2:00 PM, Emotional information: Excited, User request: I want new sneakers for the office."

[1019] Generated suggestions:

[1020] "Since users are in a state of excitement, we are proposing 'casual sneakers with excellent comfort and design' to further lift their spirits. In particular, our latest sneakers are perfect for the sunny weather we're currently experiencing in Tokyo. They are on sale now, in limited quantities."

[1021] This allows the system to provide optimized product recommendations and feedback in real time based on the user's emotional information and various other information.

[1022] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1023] Step 1:

[1024] Obtaining and saving user information

[1025] When a user logs in for the first time, the device displays a screen for entering profile information (such as name, hobbies, preferences, etc.) The information entered by the user is sent to the server and stored in a database for further analysis and idea generation.

[1026] Input: User profile information

[1027] Output: User information stored in the database

[1028] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[1029] Step 2:

[1030] Current information gathering

[1031] Each time a user uses the app, the device obtains the current time, location, and weather information. Weather information is obtained from a weather information service via an API. The device also uses an emotion engine to analyze the user's facial expressions and voice to obtain emotional information. This information is then sent to the server.

[1032] Input: Time, location, weather, emotion

[1033] Output: Current information sent to the server

[1034] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[1035] Step 3:

[1036] Personalized idea generation

[1037] The server sends the acquired time, location, weather, user profile, and emotional information to the generation AI to generate personalized ideas. The generation AI then references the idea database based on this information to generate new ideas.

[1038] Input: User information, current information (time, location, weather, emotion)

[1039] Data processing / data calculation: Combining information to generate AI that generates appropriate ideas

[1040] Output: Generated personalized ideas

[1041] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[1042] Step 4:

[1043] Viewing ideas

[1044] The server transmits the generated ideas to the terminal, which displays the ideas to the user.

[1045] Input: Generated personalized ideas

[1046] Output: Display the idea to the user

[1047] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[1048] Step 5:

[1049] Obtaining user ideas

[1050] When a user inputs a new idea, the device sends the idea to the server, which includes the text data entered by the user.

[1051] Input: User-entered ideas

[1052] Output: User ideas sent to the server

[1053] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[1054] Step 6:

[1055] Generate feedback

[1056] The server sends the idea entered by the user and the acquired emotional information to the generation AI, which then generates feedback and improvement suggestions for the entered idea based on the idea database.

[1057] Input: User input ideas, emotional information

[1058] Data processing / data calculation: Generative AI generates optimal feedback based on an idea database

[1059] Output: The generated feedback

[1060] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[1061] Step 7:

[1062] View Feedback

[1063] The server sends the generated feedback to the terminal, which displays the feedback to the user.

[1064] Input: Generated feedback

[1065] Output: Display feedback to the user

[1066] 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.

[1067] 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.

[1068] 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.

[1069] [Third embodiment]

[1070] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1071] 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.

[1072] 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).

[1073] 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.

[1074] 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.

[1075] 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).

[1076] 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.

[1077] 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.

[1078] 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.

[1079] 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.

[1080] 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.

[1081] 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."

[1082] The system of the present invention provides users with personalized ideas and generates feedback to help them improve their own ideas. The system acquires information about the user's time of day, location, weather, hobbies, and preferences, and the AI ​​generates new ideas based on this information.

[1083] System configuration and operation

[1084] 1. Acquiring and storing user information

[1085] When a user logs in for the first time, the device displays a screen where the user can enter their profile information (such as name, hobbies, and preferences). This information is sent to the server and stored in a database. Each time the user uses the app, the device obtains the current time, location, and weather information, which is then sent to the server.

[1086] 2. Personalized idea generation

[1087] The server sends the acquired time, location, weather, and user profile information to the generation AI, which then references a vast database of ideas accumulated in the past to generate new ideas suited to the user. The generated ideas are sent to the device via the server and displayed to the user.

[1088] 3. Feedback on user ideas

[1089] When a user inputs their idea, the device sends it to the server. The server passes the input idea to the generation AI, which generates feedback and suggestions for improvement for the user's idea based on the idea database. The generated feedback is sent to the device via the server and displayed to the user.

[1090] Specific examples

[1091] Example 1: Providing personalized ideas

[1092] User: A cooking enthusiast opens the app at 7am.

[1093] Device: Obtain the current location (Tokyo), weather (sunny), and time (7:00) and send them to the server.

[1094] Server: Sends this information to the generation AI.

[1095] Generative AI: Generates the idea, "Try an omelet with fresh vegetables for breakfast. Adding tomatoes and basil is delicious."

[1096] Server: Sends the generated ideas to the device.

[1097] Terminal: Displays the idea to the user.

[1098] Example 2: Bouncing ideas off each other and giving feedback

[1099] User: Enters "What about kiwi on pizza" as a new recipe idea.

[1100] Terminal: Send this idea to the server.

[1101] Server: Sends the input ideas to the generation AI.

[1102] Generative AI: Generates feedback such as, "The tartness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[1103] Server: Sends feedback to the device.

[1104] Terminal: Display feedback to the user.

[1105] In this way, the system of the present invention continuously provides users with personalized ideas and provides feedback to further develop their own ideas, allowing users to obtain fresh ideas every day and enhance their own creativity.

[1106] The processing flow will be explained below.

[1107] Step 1:

[1108] The user launches the app.

[1109] The device displays a login screen and prompts the user to enter a username and password.

[1110] Step 2:

[1111] The user enters the username and password and clicks the "Login" button.

[1112] The device sends the login information to the server.

[1113] Step 3:

[1114] The server authenticates the user information and obtains profile information (name, hobbies, preferences, etc.). If this is the first time the user logs in, the server instructs the device to display a profile entry screen for the user.

[1115] Step 4:

[1116] The user enters profile information and presses the "Submit" button.

[1117] The device transmits the entered profile information to the server.

[1118] The server stores the profile information in a database.

[1119] Step 5:

[1120] The user launches the app.

[1121] Your device gets the current time, location, and weather information.

[1122] The terminal transmits this information to the server.

[1123] Step 6:

[1124] The server sends the received time, location information, weather information, and user profile information to the generation AI.

[1125] Step 7:

[1126] The generation AI refers to the idea database and generates personalized ideas based on the user's information, then returns the generated ideas to the server.

[1127] Step 8:

[1128] The server transmits the generated ideas to the terminal.

[1129] The terminal displays the idea to the user.

[1130] Step 9:

[1131] The user enters their idea into the app's idea input form.

[1132] The terminal transmits the input idea to the server.

[1133] Step 10:

[1134] The server sends the received ideas to the generation AI.

[1135] The generative AI generates feedback and improvement suggestions for the user's ideas based on the idea database, and returns the generated feedback to the server.

[1136] Step 11:

[1137] The server transmits the generated feedback to the terminal.

[1138] The device displays the feedback to the user.

[1139] Through this process, users receive a constant stream of personalized ideas and can further refine their ideas through feedback provided by the generative AI.

[1140] Example 1

[1141] 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."

[1142] Conventional idea generation systems lack personalization for users, making it difficult to provide appropriate ideas tailored to each user's individual characteristics and circumstances. Furthermore, they lack the ability to provide effective feedback on ideas spontaneously proposed by users, preventing them from fully drawing out the user's creativity. This results in limited satisfaction and usefulness for users.

[1143] 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.

[1144] In this invention, the server includes means for acquiring user time information, means for acquiring user location information, means for acquiring user weather information, means for acquiring information on the user's hobbies and preferences, means for generating personalized ideas using a generative AI model based on the acquired information, means for displaying the generated ideas on a user terminal, means for accepting idea input from a user, means for converting the idea input from the user into a prompt sentence and generating feedback using the generative AI model, and means for displaying the generated feedback on a user terminal. This makes it possible to provide personalized ideas according to the user's characteristics and situation, and by providing appropriate feedback to the user's suggestions, it is possible to enhance the user's creativity.

[1145] The "means for acquiring user time information" is a function for acquiring the time when the user is using the system.

[1146] The "means for acquiring user location information" is a function for acquiring the user's current geographical location.

[1147] The "means for acquiring weather information for the user" is a function for acquiring the weather information for the location where the user is located.

[1148] The "means for acquiring information about the user's hobbies and preferences" is a function for acquiring information about the user's interests and preferences.

[1149] "Means for generating personalized ideas using generative AI models" refers to a function for generating personalized proposals and ideas using generative AI models based on acquired information.

[1150] The "means for displaying the generated idea on the user terminal" is a function for displaying the generated idea on the terminal used by the user.

[1151] The "means for accepting idea input from the user" is a function that allows the user to input his or her own ideas or suggestions.

[1152] "Means for converting ideas entered by a user into prompt sentences and generating feedback using a generative AI model" refers to a function that analyzes ideas entered by a user, converts them into prompt sentences, and automatically generates feedback for those ideas using a generative AI model.

[1153] The "means for displaying the generated feedback on the user terminal" is a function for displaying the generated feedback on the terminal used by the user.

[1154] The system of the present invention provides users with personalized ideas and generates feedback to help them improve their own ideas. The system acquires information about the user's time, location, weather, hobbies, and preferences, and the AI ​​generates new ideas based on this information.

[1155] Obtaining and saving user information

[1156] When a user logs in for the first time, the device displays a screen where they can enter profile information such as their name, hobbies, and preferences. After the user enters this information, the device sends the data to the server. The server stores the received information in a database (for example, MySQL or PostgreSQL). Additionally, each time the user uses the app, the device obtains the current time, location information (using the GPS sensor), and weather information (from an external API, for example, OpenWeatherMap), and sends this data to the server. The server updates the received information in the database for each user.

[1157] Personalized idea generation

[1158] The server generates a prompt for the generative AI model (for example, OpenAI's GPT or BERT) based on the saved user profile information and current time, location, and weather information. For example, it generates a prompt such as, "Current location is Tokyo, weather is sunny, time is 7 o'clock. My hobby is cooking. Please give me some new breakfast ideas." The server sends the generated prompt to the generative AI. The generative AI generates the best idea for the user based on the prompt. The generated idea is sent to the server, and the server sends it to the device. The device displays the generated idea to the user.

[1159] User idea feedback

[1160] When a user inputs their idea, the device sends it to the server. The server converts the input idea into a prompt and generates feedback using a generative AI model. For example, the server generates a prompt such as, "The user suggested 'How about putting kiwi on pizza?' Please provide your feedback." The generative AI generates feedback based on the prompt, providing advice such as, "The sourness and sweetness of kiwi go well with tomato sauce, but try combining it with mozzarella cheese." The generated feedback is sent to the device via the server, and the device displays it to the user.

[1161] Specific examples

[1162] Example 1: Providing personalized ideas

[1163] User: A cooking enthusiast opens the app at 7am.

[1164] Device: Obtain the current location (Tokyo), weather (sunny), and time (7:00) and send them to the server.

[1165] Server: Create a prompt to send this information to the generation AI: "Current location: Tokyo, weather: sunny, time: 7 o'clock. My hobby is cooking. Please provide some new breakfast ideas."

[1166] Generative AI: Generates the idea, "Try an omelet with fresh vegetables for breakfast. Adding tomatoes and basil is delicious."

[1167] Server: Sends the generated ideas to the device.

[1168] Terminal: Displays the idea to the user.

[1169] Example 2: Bouncing ideas off each other and giving feedback

[1170] User: Enters "What about kiwi on pizza" as a new recipe idea.

[1171] Terminal: Send this idea to the server.

[1172] Server: Converts the input idea into a prompt to be sent to the generative AI. "The user suggested 'How about kiwi on pizza?' Please provide feedback."

[1173] Generative AI: Generates feedback such as, "The tartness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[1174] Server: Sends feedback to the device.

[1175] Terminal: Display feedback to the user.

[1176] In this way, the system of the present invention continuously provides users with personalized ideas and provides feedback to further develop their own ideas, allowing users to obtain fresh ideas every day and enhance their own creativity.

[1177] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1178] Step 1:

[1179] When a user logs in for the first time, the device displays a screen where they can enter profile information such as their name, hobbies, and preferences.

[1180] Input: User profile information (name, hobbies, preferences, etc.).

[1181] Output: The profile information entered.

[1182] Specific operation: The device temporarily stores the profile information entered by the user and sends it to the server.

[1183] Step 2:

[1184] Every time a user uses the app, the device obtains the current time, location information (using the GPS sensor), and weather information (obtained from an external API).

[1185] Input: Device sensors and API requests.

[1186] Output: Current time, location, and weather information.

[1187] Specific operation: Obtain location information from the device's sensors, obtain weather information from an external API, and obtain the current time from the system clock.

[1188] Step 3:

[1189] The terminal transmits the information acquired in step 2 to the server.

[1190] Input: Current time, location, and weather information.

[1191] Output: Information sent to the server.

[1192] Specific operation: The terminal sends this information to the server using a communication method such as an HTTP request.

[1193] Step 4:

[1194] The server stores or updates the information received in steps 1 and 2 in a database.

[1195] Input: User profile information, current time, location, and weather information.

[1196] Output: Information saved or updated in the database.

[1197] Specific operation: The server saves or updates the received information in the corresponding user's record in the database.

[1198] Step 5:

[1199] The server generates prompt sentences for the generative AI model based on the saved user profile information and current time, location, and weather information.

[1200] Input: Information stored in a database.

[1201] Output: The generated prompt statement.

[1202] Specific operation: The server references the saved information and generates a prompt according to the specified format. Example: "Current location is Tokyo, weather is sunny, time is 7 o'clock. My hobby is cooking. Please give me some new breakfast ideas."

[1203] Step 6:

[1204] The server sends the generated prompt to the generation AI.

[1205] Input: The generated prompt statement.

[1206] Output: The prompt sent to the generation AI.

[1207] Specific operation: The server sends a prompt to the generation AI API and requests idea generation.

[1208] Step 7:

[1209] The generative AI generates new ideas that are best suited to the user based on the prompt text.

[1210] Input: prompt statement.

[1211] Output: Generated ideas.

[1212] Specific operation: The generative AI analyzes the prompt sentence and generates appropriate ideas by referring to its internal database.

[1213] Step 8:

[1214] The generating AI sends the generated ideas back to the server.

[1215] Input: Ideas generated by generative AI.

[1216] Output: The ideas sent back to the server.

[1217] Specific operation: The generation AI returns the generated ideas to the server as an API response.

[1218] Step 9:

[1219] The server transmits the generated ideas to the terminal.

[1220] Input: Generated ideas.

[1221] Output: Ideas sent to the terminal.

[1222] Specific operation: The server transmits the generated ideas to the terminal via a communication means.

[1223] Step 10:

[1224] The terminal displays the generated ideas to the user.

[1225] Input: Ideas sent by the server.

[1226] Output: The idea displayed on the user's terminal.

[1227] Specific operation: The terminal displays the generated ideas on a GUI so that the user can view them.

[1228] Step 11:

[1229] When the user inputs his / her idea, the terminal transmits the idea to the server.

[1230] Input: Ideas entered by the user into the terminal.

[1231] Output: The ideas sent to the server.

[1232] Specific operation: The terminal sends the idea entered by the user to the server via a communication method such as an HTTP request.

[1233] Step 12:

[1234] The server converts the user's idea into a prompt sentence and sends it to the generation AI.

[1235] Input: User-entered ideas.

[1236] Output: The prompt to send to the generation AI.

[1237] Specific operation: The server takes the user's idea as a parameter and converts it into a format that the AI ​​can understand, then generates a prompt. Example: "The user suggested 'How about putting kiwi on pizza?' Please provide feedback."

[1238] Step 13:

[1239] The generative AI generates feedback based on the prompt text.

[1240] Input: The generated prompt statement.

[1241] Output: The generated feedback.

[1242] Specific behavior: The generative AI analyzes the prompt sentence and generates appropriate feedback by referring to its internal database. Example: "The sour and sweet taste of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[1243] Step 14:

[1244] The generating AI sends the generated feedback back to the server.

[1245] Input: Feedback generated by the generative AI.

[1246] Output: Feedback sent back to the server.

[1247] Specific operation: The generation AI returns the generated feedback to the server as an API response.

[1248] Step 15:

[1249] The server transmits the generated feedback to the terminal.

[1250] Input: Generated feedback.

[1251] Output: Feedback sent to the device.

[1252] Specific operation: The server transmits the generated feedback to the terminal via a communication means.

[1253] Step 16:

[1254] The terminal displays the generated feedback to the user.

[1255] Input: Feedback sent by the server.

[1256] Output: Feedback displayed on the user's terminal.

[1257] Specific operation: The device displays the generated feedback on the GUI so that the user can view it.

[1258] (Application example 1)

[1259] 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."

[1260] Conventional food delivery systems lack personalized suggestions based on users' habits and preferences, making it difficult for users to get suggestions and feedback on new dishes or menu items when trying them. Also, when users come up with new ideas, there is no way to get immediate feedback to improve them from other perspectives.

[1261] 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.

[1262] In this invention, the server includes means for acquiring the user's time zone, means for acquiring the user's location information, means for acquiring the user's weather information, means for acquiring information on the user's hobbies and preferences, means for generating personalized ideas based on the acquired information, means for displaying the generated ideas to the user, means for accepting idea input from the user, means for reviewing the ideas input by the user and generating feedback, means for displaying the generated feedback to the user, and means for suggesting dishes and menus based on the user's food delivery purchase history and local information. This not only enables users to receive personalized dish and menu suggestions tailored to their individual circumstances and preferences, but also allows them to receive feedback on their own ideas, significantly improving the means for enjoying new dishes and menus.

[1263] The "means for acquiring the user's time zone" is a device or software that collects information on the user's behavior during a specific time zone.

[1264] The "means for acquiring user location information" refers to a device or software that acquires information about the user's current location.

[1265] The "means for acquiring user's weather information" refers to a device or software that acquires information about the user's current weather.

[1266] The "means for acquiring information about a user's hobbies and preferences" refers to a device or software that collects data about a user's interests and preferences.

[1267] The "means for generating personalized ideas based on acquired information" refers to a device or software that generates ideas specific to a user based on collected information.

[1268] The "means for displaying the generated ideas to the user" is a device or software that visually presents the generated ideas to the user.

[1269] The "means for accepting idea input from a user" refers to a device or software that receives ideas input by a user.

[1270] The "means for examining ideas input by users and generating feedback" refers to a device or software that analyzes ideas input by users and suggests improvements.

[1271] The "means for displaying generated feedback to the user" is a device or software that visually presents the generated feedback to the user.

[1272] "Means for suggesting dishes and menus based on a user's purchase history and local information in food delivery" refers to a device or software that suggests personalized dishes and menus based on a user's past ordering history and local information.

[1273] The system embodying the present invention proposes personalized dishes and menus in a food delivery application by taking into account a user's purchase history, local information, weather information, time of day, and preferences and hobbies, and also generates and provides feedback to the user on new ideas submitted by the user.

[1274] System configuration

[1275] server

[1276] It has functions for obtaining and saving user information.

[1277] Idea generation and feedback generation are performed using generative AI.

[1278] The database stores user profile information, purchase history, and idea data.

[1279] Terminal

[1280] Users access the application using their smartphones.

[1281] Provides a screen for entering and displaying user profile information when logging in.

[1282] It has the function of obtaining the current time, location information, and weather information.

[1283] Data acquisition and processing

[1284] The server uses the following main hardware and software:

[1285] Python: for the overall program control logic

[1286] API (HTTP communication): For obtaining user and weather information and interfacing with the generating AI

[1287] Generative AI: For personalized food and menu suggestions, and feedback generation for user ideas

[1288] When a user logs in to the application, the server stores information in a database based on the user's profile information (such as name, hobbies, preferences, etc.) The device obtains the user's current time, location, and weather information and sends it to the server.

[1289] Generate personalized suggestions

[1290] The server sends the acquired current time, location information, weather information, and user profile information to the generation AI, which then refers to a database of previously accumulated ideas to generate ideas for dishes and menus suitable for the user. These ideas are sent to the device via the server and displayed to the user.

[1291] Generate feedback

[1292] When a user inputs an idea for a new menu or dish, the device sends the idea to the server. The server passes the idea to the generation AI, which generates feedback for the user's idea based on the idea database. The generated feedback is sent to the device via the server and displayed to the user.

[1293] Specific examples

[1294] For example, if a user indicates to the application that they live in Tokyo and would like to order breakfast at 8 a.m. before work, the system will consider the user's location (Tokyo), current weather (sunny), time (8 a.m.), and preferences based on their profile information (e.g., a preference for Japanese food) and suggest a rice ball set meal and hot miso soup. If the user then inputs a question about bamboo shoots as a new rice ball filling, the system will provide feedback on the idea, saying, "Bamboo shoots are a good idea for a rice ball filling, but adding bonito flakes will enhance the flavor."

[1295] This allows users to receive feedback on specialized menu suggestions and ideas on a daily basis to improve their dining experience.

[1296] Prompt Sentence Examples

[1297] User Profile:

[1298] Location: Tokyo

[1299] Time: 8:00 AM

[1300] Weather: Sunny

[1301] Favorite food: Japanese food

[1302] By entering the above prompt sentence, the system can make personalized menu suggestions that are best suited to the user.

[1303] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1304] Step 1:

[1305] A user logs in to an application on a smartphone device. When logging in, the user enters their profile information (name, hobbies, preferences, etc.), which is collected by the device and sent to the server. Input: User's profile information. Output: Sending profile information to the server.

[1306] Step 2:

[1307] The device uses the device's built-in functions and APIs to obtain the current time, location, and weather information. The obtained information is sent to the server. Input: Time, location, and weather information obtained from the device's built-in functions and APIs. Output: Current time, location, and weather information sent to the server.

[1308] Step 3:

[1309] The server stores the received profile information, current time, location information, and weather information in a database. Input: Information sent from the device. Output: Information saved in the database.

[1310] Step 4:

[1311] The server requests the generation AI to suggest personalized dishes and menus based on the information received. The generation AI references a database of past ideas to generate new ideas. Input: saved profile information, current time, location, weather information. Output: personalized suggestions.

[1312] Step 5:

[1313] The food and menu suggestions generated by the generative AI are sent to the device via the server and displayed to the user on the device. Input: Personalized suggestions from the generative AI. Output: Display of suggestions on the user's device.

[1314] Step 6:

[1315] The user inputs ideas for new dishes or menus into the terminal and sends the information to the server. Input: User's ideas. Output: User's ideas sent to the server.

[1316] Step 7:

[1317] The server passes the received user ideas to the generation AI, which then generates feedback based on the idea database. Input: User's idea. Output: Generated feedback.

[1318] Step 8:

[1319] The feedback generated by the generation AI is sent to the terminal via the server and displayed to the user on the terminal. Input: Feedback from the generation AI. Output: Display of feedback on the user terminal.

[1320] This allows users to receive suggestions for dishes and menus that suit their individual circumstances and preferences, and also receive feedback on their own ideas.

[1321] 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.

[1322] The system of the present invention not only provides users with personalized ideas and generates feedback to help them improve their own ideas, but also recognizes the user's emotions to further customize the ideas and feedback. Specific operations of the system are described below.

[1323] System configuration and operation

[1324] 1. Acquiring and storing user information

[1325] When a user logs in for the first time, the device displays a screen where the user can enter their profile information (such as name, hobbies, and preferences). This information is sent to the server and stored in a database. Each time the user uses the app, the device obtains the current time, location, and weather information. This information is sent to the server. The emotion engine also analyzes the user's facial expressions, voice, and input content to obtain emotional information. This emotional information is also sent to the server.

[1326] 2. Personalized idea generation

[1327] The server sends the acquired time, location information, weather information, user profile information, and emotion information to the generation AI. The generation AI then references the idea database and generates new ideas suitable for the user based on this information. The generated ideas are sent to the device via the server and displayed to the user.

[1328] 3. Feedback on user ideas

[1329] When a user inputs their idea, the device sends it to the server. The server passes the input idea and the acquired emotional information to the generation AI, which then generates feedback and suggestions for improvement for the user's idea based on the idea database. The generated feedback is sent to the device via the server and displayed to the user.

[1330] Specific examples

[1331] Example 1: Providing personalized ideas

[1332] User: A cooking enthusiast opens the app at 7am.

[1333] Device: Obtains the current location (Tokyo), weather (sunny), and time (7:00) and sends them to the server. It also analyzes the user's facial expressions and voice to obtain emotional information, which is also sent to the server.

[1334] Server: Sends this information to the generation AI.

[1335] Generative AI: Generates the idea, "Try an omelet with fresh vegetables for breakfast. It tastes good with tomatoes and basil." This idea is suggested based on emotional information that the user is not stressed.

[1336] Server: Sends the generated ideas to the device.

[1337] Terminal: Displays the idea to the user.

[1338] Example 2: Bouncing ideas off each other and giving feedback

[1339] User: Enters "What about kiwi on pizza" as a new recipe idea.

[1340] Terminal: Send this idea to the server.

[1341] Server: Sends the input idea and user's emotional information to the generation AI.

[1342] Generative AI: Generates feedback such as, "The sour and sweet taste of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese." This feedback is suggested based on the user's positive sentiment.

[1343] Server: Sends feedback to the device.

[1344] Terminal: Display feedback to the user.

[1345] In this way, the system of the present invention provides users with personalized, emotion-based ideas and provides feedback to further develop their own ideas, thereby enabling users to enhance their creativity at a deeper level.

[1346] The processing flow will be explained below.

[1347] Step 1:

[1348] The user launches the app.

[1349] The device displays a login screen and prompts the user to enter a username and password.

[1350] Step 2:

[1351] The user enters the username and password and clicks the "Login" button.

[1352] The device sends the login information to the server.

[1353] Step 3:

[1354] The server authenticates the user information and obtains profile information (name, hobbies, preferences, etc.). If this is the first time the user logs in, the server instructs the device to display a profile entry screen for the user.

[1355] Step 4:

[1356] The user enters profile information and presses the "Submit" button.

[1357] The device transmits the entered profile information to the server.

[1358] The server stores the profile information in a database.

[1359] Step 5:

[1360] The user launches the app.

[1361] Your device gets the current time, location, and weather information.

[1362] The terminal transmits this information to the server.

[1363] Step 6:

[1364] The device analyzes the user's facial expressions, voice, and input content to obtain emotional information about the user, which is then sent to the server.

[1365] Step 7:

[1366] The server sends the received time, location information, weather information, user profile information, and emotion information to the generation AI.

[1367] Step 8:

[1368] The generation AI refers to the idea database and generates personalized ideas based on the user's information and emotions, and returns the generated ideas to the server.

[1369] Step 9:

[1370] The server transmits the generated ideas to the terminal.

[1371] The terminal displays the idea to the user.

[1372] Step 10:

[1373] The user enters their idea into the app's idea input form.

[1374] The terminal transmits the input idea to the server.

[1375] Step 11:

[1376] The server sends the received ideas and acquired emotional information to the generation AI.

[1377] The generative AI generates feedback and improvement suggestions for the user's idea based on the idea database, and returns the generated feedback to the server.

[1378] Step 12:

[1379] The server transmits the generated feedback to the terminal.

[1380] The device displays the feedback to the user.

[1381] This allows users to receive personalized ideas that also reflect emotional information, and receive feedback to further develop their ideas.

[1382] Example 2

[1383] 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."

[1384] In today's information-saturated society, it is not easy for users to generate creative ideas on their own. Furthermore, obtaining personalized ideas and feedback that reflect the user's situation and emotions requires a great deal of time and effort. Therefore, there is a need for a system that can provide personalized ideas that reflect the user's individual situation and quickly provide appropriate feedback on the ideas entered by the user.

[1385] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1386] In this invention, the server includes means for acquiring the user's time zone, means for acquiring the user's location information, means for acquiring the user's weather information, means for acquiring information on the user's hobbies and preferences, means for acquiring the user's emotional information, means for generating personalized ideas based on the acquired information, means for displaying the generated ideas to the user, means for accepting idea input from the user, means for examining the ideas and emotional information input by the user and generating feedback, and means for displaying the generated feedback to the user. This allows the user to quickly obtain personalized ideas that suit their own situation and emotions, and further allows them to receive appropriate feedback on their own ideas.

[1387] The "means for acquiring the user's time zone" is a mechanism for acquiring the specific time zone (e.g., morning, afternoon, night) during which the user is using the application.

[1388] "Means for obtaining user location information" refers to a mechanism for obtaining geographical information such as the latitude and longitude of the user's current location, city name, and country name.

[1389] The "means for acquiring user's weather information" is a mechanism for acquiring information about the weather in the area where the user is currently located (e.g., sunny, rainy, snowy, wind speed, humidity, etc.).

[1390] The "means for acquiring information about the user's hobbies and preferences" is a mechanism for collecting information such as hobbies, interests, and preferences that the user has entered in advance.

[1391] "Means for acquiring user emotional information" refers to a mechanism for analyzing the user's facial expressions, voice, input content, etc., to acquire their emotional state at that time (e.g., joy, sadness, anger, stress, etc.).

[1392] "Means for generating personalized ideas based on acquired information" refers to a mechanism for generating new ideas that are individually suited based on collected data such as the user's time of day, location, weather, hobbies, preferences, and emotions.

[1393] The "means for displaying the generated ideas to the user" is a mechanism for displaying the generated personalized ideas on the user's terminal.

[1394] The "means for accepting idea input from the user" is a mechanism for the user to input their own ideas into the application.

[1395] "Means for scrutinizing ideas and emotional information entered by users and generating feedback" refers to a mechanism for analyzing ideas entered by users and the emotional information they provide at the time, and generating better feedback and suggestions for improvement based on that information.

[1396] The "means for displaying the generated feedback to the user" is a mechanism for displaying the generated feedback on the user's terminal.

[1397] The system of the present invention not only provides users with personalized ideas and generates feedback to help them improve their own ideas, but also recognizes the user's emotions to further customize the ideas and feedback. Specific operations of the system are described below.

[1398] System configuration and operation

[1399] The system of the present invention is configured using a user terminal, a server, an emotion engine, and a generation AI.

[1400] Obtaining and saving user information

[1401] When a user logs in for the first time, the device displays a screen where the user can enter their profile information (such as name, hobbies, and preferences). This information is sent to the server and stored in a database. Each time the user uses the app, the device obtains the current time, location, and weather information. This information is sent to the server. The emotion engine also analyzes the user's facial expressions, voice, and input content to obtain emotional information. This emotional information is also sent to the server.

[1402] Personalized idea generation

[1403] The server sends the acquired time, location information, weather information, user profile information, and emotion information to the generation AI. The generation AI then references the idea database and generates new ideas suitable for the user based on this information. The generated ideas are sent to the device via the server and displayed to the user.

[1404] User idea feedback

[1405] When a user inputs their idea, the device sends it to the server. The server passes the input idea and the acquired emotional information to the generation AI, which then generates feedback and suggestions for improvement for the user's idea based on the idea database. The generated feedback is sent to the device via the server and displayed to the user.

[1406] Specific examples

[1407] Example 1: Providing personalized ideas

[1408] 1. User: A cooking enthusiast opens the app at 7am.

[1409] 2. Device: Obtains the current location (Tokyo), weather (sunny), and time (7:00) and sends them to the server. It also analyzes the user's facial expressions and voice to obtain emotional information, which is also sent to the server.

[1410] 3. Server: Sends this information to the generation AI.

[1411] 4. Generative AI: Generates the idea, "Try an omelet with fresh vegetables for breakfast. It tastes good with tomatoes and basil." This idea is suggested based on the user's emotional information, which indicates that the user is not stressed.

[1412] 5. Server: Sends the generated ideas to the device.

[1413] 6. Terminal: displays the idea to the user.

[1414] Example 2: Bouncing ideas off each other and giving feedback

[1415] 1. User: Enters "What about kiwi on pizza" as a new recipe idea.

[1416] 2. Terminal: Sends this idea to the server.

[1417] 3. Server: Sends the input idea and user emotion information to the generation AI.

[1418] 4. Generative AI: Generates feedback such as, "The sourness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese." This feedback is suggested based on the user's positive sentiment.

[1419] 5. Server: Sends feedback to the device.

[1420] 6. Terminal: Display feedback to the user.

[1421] In this way, the system of the present invention provides users with personalized, emotion-based ideas and provides feedback to further develop their own ideas, thereby enabling users to enhance their creativity at a deeper level.

[1422] Prompt Sentence Examples

[1423] Personalized idea generation prompt:

[1424] User profile: Cooking is my hobby

[1425] Current time: 7am

[1426] Location: Tokyo

[1427] Weather: Sunny

[1428] Emotional information: No stress

[1429] Feedback prompt for user ideas:

[1430] User Idea: Kiwi on Pizza

[1431] Emotion information: favorable

[1432] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1433] Step 1: Enter user login information

[1434] When a user logs in to the terminal for the first time, a screen is displayed for entering the user's profile information (such as name, hobbies, preferences, etc.).

[1435] Input: Profile information you enter, such as your name, hobbies, and preferences.

[1436] Output: Sending profile information from device to server.

[1437] Specifically, the user inputs "Name: Tanaka," "Hobby: Cooking," "Favorites: Japanese cuisine," etc. This information is then sent from the terminal to the server.

[1438] Step 2: Save your profile information

[1439] The server stores the transmitted information in a database.

[1440] Input: User profile information sent from the device.

[1441] Output: User profile information stored in a database.

[1442] For example, store "Name: Tanaka", "Hobbies: Cooking", "Preferences: Japanese cuisine", etc. in the "User" table of the database.

[1443] Step 3: Obtaining real-time information during user use

[1444] Each time the user uses the app, the device obtains the current time, location information, and weather information.

[1445] Input: System time, data from the Location API, and Weather API.

[1446] Output: Sending time, location and weather information to the server.

[1447] For example, when the app is opened, the information "Time: 7:00", "Location: Tokyo", and "Weather: Sunny" is obtained and sent to the server.

[1448] Step 4: Acquiring emotional information

[1449] The emotion engine analyzes the user's facial expressions, voice, input content, etc. to obtain emotional information.

[1450] Input: User's camera footage, audio data, and input text.

[1451] Output: Sending the analyzed emotion information to the server.

[1452] As an example of how it works, the camera recognizes the user's face, and the analysis results are used to obtain data such as "emotion: no stress" and send it to the server.

[1453] Step 5: Personalized idea generation request

[1454] The server sends the acquired time, location information, weather information, user profile information, and emotion information to the generation AI.

[1455] Input: Time, location, weather, profile, emotion.

[1456] Output: Sends the prompt to the generation AI.

[1457] As an example of a prompt, the following data is sent to the generation AI: "Time: 7 o'clock, Location: Tokyo, Weather: Sunny, Hobby: Cooking, Emotion: No stress."

[1458] Step 6: Personalized idea generation

[1459] The generative AI refers to the idea database and generates new ideas suitable for the user based on this information.

[1460] Input: Prompt text from the server.

[1461] Output: Generated ideas.

[1462] As an example of how it works, it generates the idea, "Try an omelet with fresh vegetables for breakfast. It's delicious with tomatoes and basil."

[1463] Step 7: Distributing your ideas to users

[1464] The server transmits the generated ideas to the terminal.

[1465] Input: Ideas from generative AI.

[1466] Output: Sending ideas to a device.

[1467] Send the idea data "Try an omelet made with fresh vegetables for breakfast. It's delicious with tomatoes and basil added." to the device.

[1468] Step 8: View your ideas

[1469] The terminal displays the ideas to the user.

[1470] Input: Idea data from the server.

[1471] Output: Display the idea on the user screen.

[1472] Specifically, the app screen displays the message, "Try an omelet made with fresh vegetables for breakfast. It's delicious with tomatoes and basil."

[1473] Step 9: Accepting user ideas

[1474] The user inputs their idea.

[1475] Input: User's idea text.

[1476] Output: The input ideas.

[1477] Specifically, the user inputs "How about putting kiwi on pizza?"

[1478] Step 10: Submitting user ideas to the server

[1479] The terminal transmits the user's input ideas to the server.

[1480] Input: Ideas entered by users.

[1481] Output: Sending ideas to the server.

[1482] The idea data "Put kiwi on pizza" is sent to the server.

[1483] Step 11: Request feedback generation

[1484] The server passes the input idea and acquired emotional information to the generation AI.

[1485] Input: User ideas, emotional information.

[1486] Output: Send prompt to the generation AI.

[1487] An example prompt is sent to the generation AI: "User idea: put kiwi on pizza, emotion: positive."

[1488] Step 12: Generate idea feedback

[1489] The generative AI generates feedback on the user's ideas based on an idea database.

[1490] Input: Prompt text from the server.

[1491] Output: The generated feedback.

[1492] As an example of how it works, it generates feedback such as, "The sourness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[1493] Step 13: Sending feedback to the server

[1494] The generating AI sends the generated feedback to the server.

[1495] Input: Generated feedback.

[1496] Output: Sending feedback to the server.

[1497] Send the following feedback to the server: "The tartness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[1498] Step 14: Deliver feedback to users

[1499] The server transmits the generated feedback to the terminal.

[1500] Input: Feedback from the generative AI.

[1501] Output: Sending feedback to the device.

[1502] Send the following feedback to the device: "The tartness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[1503] Step 15: Viewing feedback

[1504] The terminal displays the feedback to the user.

[1505] Input: Feedback data from the server.

[1506] Output: Feedback displayed on the user's screen.

[1507] Specifically, the app screen displays the message, "The sourness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[1508] (Application example 2)

[1509] 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."

[1510] Conventional systems have difficulty providing personalized suggestions and feedback to users. In particular, they have been unable to provide personalized product recommendations and feedback in real time that take into account the user's emotional information, which has resulted in a lack of improvement in the user experience. This can lead to a decrease in user satisfaction and a decrease in purchase rates in virtual stores.

[1511] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1512] In this invention, the server includes means for acquiring a user's time zone, means for acquiring user location information, means for acquiring user weather information, means for acquiring information on the user's hobbies and preferences, means for acquiring user emotional information, means for generating personalized ideas based on the acquired information, means for displaying the generated ideas to the user, means for accepting idea input from the user, means for examining the ideas input by the user and generating feedback, means for making individually optimized product recommendations based on the user's purchasing behavior in a virtual store, means for providing ideas and feedback based on the emotional information, and means for displaying the generated feedback to the user. This makes it possible to provide product recommendations and feedback that are optimized in real time based on the user's emotional information and various information.

[1513] The "means for acquiring the user's time zone" is for collecting the current time information when the user uses the system.

[1514] The "means for obtaining user location information" is a means for detecting and collecting information about the user's current geographical location.

[1515] The "means for acquiring weather information for the user" refers to the collection of data in cooperation with an external weather information service in order to acquire the current weather conditions in the user's location.

[1516] The "means for acquiring information about the user's hobbies and preferences" refers to collecting data about the user's interests and preferences based on the profile information registered by the user and the user's past behavioral history.

[1517] The "means for acquiring user emotional information" is a means for analyzing the user's facial expressions, voice, input contents, etc. to detect the current emotional state and collect that information.

[1518] The "means for generating personalized ideas" is a means for generating proposals and ideas that are optimized to the user's needs based on various acquired information.

[1519] The "means for displaying generated ideas to the user" is a means for visually showing the generated ideas and suggestions to the user.

[1520] The "means for accepting idea input from the user" is used to collect information when the user inputs their own ideas or requests into the system.

[1521] The "means for reviewing ideas input by users and generating feedback" is a means for evaluating ideas provided by users and generating suggestions for improvements or additions to them.

[1522] "A means for individually optimizing product recommendations based on a user's purchasing behavior in a virtual store" is a means for recommending optimal products based on the user's behavioral data when browsing or purchasing in a virtual store.

[1523] The "means for providing ideas and feedback based on emotional information" is a means for providing appropriate ideas and feedback by taking into account the emotional state of the user.

[1524] The "means for displaying the generated feedback to the user" is a means for visually showing the generated feedback to the user.

[1525] The system of the present invention provides personalized ideas to users and further optimizes feedback on the user's ideas based on emotion information. Specific embodiments of the system are described below.

[1526] System configuration and information collection

[1527] The system is equipped with a means for acquiring information about the user's time zone, location, weather, hobbies and preferences, and emotional information. Specifically, this information is collected using a device such as a smartphone and sent to a server. Emotional information is acquired by analyzing the user's facial expressions and voice data using an emotion recognition engine.

[1528] Personalized idea generation

[1529] The server inputs the acquired information into the generation AI to generate personalized ideas suitable for the user. This generation AI references an idea database and generates new ideas using prompts based on the user information. The generated ideas are displayed on the user's device via the server.

[1530] User idea feedback

[1531] When a user inputs a new idea, the information is sent to the server via the device. The server then sends the input idea along with emotional information to the generation AI, which then generates feedback and improvement suggestions based on the idea database. This feedback is optimized based on the user's emotional information, making it more effective. The generated feedback is then displayed on the user's device via the server.

[1532] Specific examples

[1533] Personalized product recommendation example

[1534] User: Considering buying sneakers in a virtual store.

[1535] Terminal: Obtains current location (Tokyo), weather (sunny), and time (14:00), analyzes emotional information (excitement level), and sends this information to the server.

[1536] Server: Sends the acquired information to the generation AI and generates individually optimized product proposals.

[1537] Generative AI: Generates a suggestion such as, "We recommend these casual sneakers that are perfect for the sunny weather in Tokyo right now. They are on sale in limited quantities."

[1538] Server: Sends the generated suggestions to the device and displays them to the user.

[1539] Prompt Sentence Examples

[1540] Prompt text:

[1541] "User information: Hobbies: Sports, Preferences: Casual fashion, Location: Tokyo, Weather: Sunny, Time: 2:00 PM, Emotional information: Excited, User request: I want new sneakers for the office."

[1542] Generated suggestions:

[1543] "Since users are in a state of excitement, we are proposing 'casual sneakers with excellent comfort and design' to further lift their spirits. In particular, our latest sneakers are perfect for the sunny weather we're currently experiencing in Tokyo. They are on sale now, in limited quantities."

[1544] This allows the system to provide optimized product recommendations and feedback in real time based on the user's emotional information and various other information.

[1545] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1546] Step 1:

[1547] Obtaining and saving user information

[1548] When a user logs in for the first time, the device displays a screen for entering profile information (such as name, hobbies, preferences, etc.) The information entered by the user is sent to the server and stored in a database for further analysis and idea generation.

[1549] Input: User profile information

[1550] Output: User information stored in the database

[1551] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[1552] Step 2:

[1553] Current information gathering

[1554] Each time a user uses the app, the device obtains the current time, location, and weather information. Weather information is obtained from a weather information service via an API. The device also uses an emotion engine to analyze the user's facial expressions and voice to obtain emotional information. This information is then sent to the server.

[1555] Input: Time, location, weather, emotion

[1556] Output: Current information sent to the server

[1557] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[1558] Step 3:

[1559] Personalized idea generation

[1560] The server sends the acquired time, location, weather, user profile, and emotional information to the generation AI to generate personalized ideas. The generation AI then references the idea database based on this information to generate new ideas.

[1561] Input: User information, current information (time, location, weather, emotion)

[1562] Data processing / data calculation: Combining information to generate AI that generates appropriate ideas

[1563] Output: Generated personalized ideas

[1564] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[1565] Step 4:

[1566] Viewing ideas

[1567] The server transmits the generated ideas to the terminal, which displays the ideas to the user.

[1568] Input: Generated personalized ideas

[1569] Output: Display the idea to the user

[1570] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[1571] Step 5:

[1572] Obtaining user ideas

[1573] When a user inputs a new idea, the device sends the idea to the server, which includes the text data entered by the user.

[1574] Input: User-entered ideas

[1575] Output: User ideas sent to the server

[1576] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[1577] Step 6:

[1578] Generate feedback

[1579] The server sends the idea entered by the user and the acquired emotional information to the generation AI, which then generates feedback and improvement suggestions for the entered idea based on the idea database.

[1580] Input: User input ideas, emotional information

[1581] Data processing / data calculation: Generative AI generates optimal feedback based on an idea database

[1582] Output: The generated feedback

[1583] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[1584] Step 7:

[1585] View Feedback

[1586] The server sends the generated feedback to the terminal, which displays the feedback to the user.

[1587] Input: Generated feedback

[1588] Output: Display feedback to the user

[1589] 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.

[1590] 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.

[1591] 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.

[1592] [Fourth embodiment]

[1593] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1594] 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.

[1595] 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).

[1596] 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.

[1597] 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.

[1598] 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).

[1599] 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.

[1600] 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.

[1601] 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.

[1602] 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.

[1603] 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.

[1604] 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.

[1605] 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."

[1606] The system of the present invention provides users with personalized ideas and generates feedback to help them improve their own ideas. The system acquires information about the user's time of day, location, weather, hobbies, and preferences, and the AI ​​generates new ideas based on this information.

[1607] System configuration and operation

[1608] 1. Acquiring and storing user information

[1609] When a user logs in for the first time, the device displays a screen where the user can enter their profile information (such as name, hobbies, and preferences). This information is sent to the server and stored in a database. Each time the user uses the app, the device obtains the current time, location, and weather information, which is then sent to the server.

[1610] 2. Personalized idea generation

[1611] The server sends the acquired time, location, weather, and user profile information to the generation AI, which then references a vast database of ideas accumulated in the past to generate new ideas suited to the user. The generated ideas are sent to the device via the server and displayed to the user.

[1612] 3. Feedback on user ideas

[1613] When a user inputs their idea, the device sends it to the server. The server passes the input idea to the generation AI, which generates feedback and suggestions for improvement for the user's idea based on the idea database. The generated feedback is sent to the device via the server and displayed to the user.

[1614] Specific examples

[1615] Example 1: Providing personalized ideas

[1616] User: A cooking enthusiast opens the app at 7am.

[1617] Device: Obtain the current location (Tokyo), weather (sunny), and time (7:00) and send them to the server.

[1618] Server: Sends this information to the generation AI.

[1619] Generative AI: Generates the idea, "Try an omelet with fresh vegetables for breakfast. Adding tomatoes and basil is delicious."

[1620] Server: Sends the generated ideas to the device.

[1621] Terminal: Displays the idea to the user.

[1622] Example 2: Bouncing ideas off each other and giving feedback

[1623] User: Enters "What about kiwi on pizza" as a new recipe idea.

[1624] Terminal: Send this idea to the server.

[1625] Server: Sends the input ideas to the generation AI.

[1626] Generative AI: Generates feedback such as, "The tartness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[1627] Server: Sends feedback to the device.

[1628] Terminal: Display feedback to the user.

[1629] In this way, the system of the present invention continuously provides users with personalized ideas and provides feedback to further develop their own ideas, allowing users to obtain fresh ideas every day and enhance their own creativity.

[1630] The processing flow will be explained below.

[1631] Step 1:

[1632] The user launches the app.

[1633] The device displays a login screen and prompts the user to enter a username and password.

[1634] Step 2:

[1635] The user enters the username and password and clicks the "Login" button.

[1636] The device sends the login information to the server.

[1637] Step 3:

[1638] The server authenticates the user information and obtains profile information (name, hobbies, preferences, etc.). If this is the first time the user logs in, the server instructs the device to display a profile entry screen for the user.

[1639] Step 4:

[1640] The user enters profile information and presses the "Submit" button.

[1641] The device transmits the entered profile information to the server.

[1642] The server stores the profile information in a database.

[1643] Step 5:

[1644] The user launches the app.

[1645] Your device gets the current time, location, and weather information.

[1646] The terminal transmits this information to the server.

[1647] Step 6:

[1648] The server sends the received time, location information, weather information, and user profile information to the generation AI.

[1649] Step 7:

[1650] The generation AI refers to the idea database and generates personalized ideas based on the user's information, then returns the generated ideas to the server.

[1651] Step 8:

[1652] The server transmits the generated ideas to the terminal.

[1653] The terminal displays the idea to the user.

[1654] Step 9:

[1655] The user enters their idea into the app's idea input form.

[1656] The terminal transmits the input idea to the server.

[1657] Step 10:

[1658] The server sends the received ideas to the generation AI.

[1659] The generative AI generates feedback and improvement suggestions for the user's ideas based on the idea database, and returns the generated feedback to the server.

[1660] Step 11:

[1661] The server transmits the generated feedback to the terminal.

[1662] The device displays the feedback to the user.

[1663] Through this process, users receive a constant stream of personalized ideas and can further refine their ideas through feedback provided by the generative AI.

[1664] Example 1

[1665] 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."

[1666] Conventional idea generation systems lack personalization for users, making it difficult to provide appropriate ideas tailored to each user's individual characteristics and circumstances. Furthermore, they lack the ability to provide effective feedback on ideas spontaneously proposed by users, preventing them from fully drawing out the user's creativity. This results in limited satisfaction and usefulness for users.

[1667] 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.

[1668] In this invention, the server includes means for acquiring user time information, means for acquiring user location information, means for acquiring user weather information, means for acquiring information on the user's hobbies and preferences, means for generating personalized ideas using a generative AI model based on the acquired information, means for displaying the generated ideas on a user terminal, means for accepting idea input from a user, means for converting the idea input from the user into a prompt sentence and generating feedback using the generative AI model, and means for displaying the generated feedback on a user terminal. This makes it possible to provide personalized ideas according to the user's characteristics and situation, and by providing appropriate feedback to the user's suggestions, it is possible to enhance the user's creativity.

[1669] The "means for acquiring user time information" is a function for acquiring the time when the user is using the system.

[1670] The "means for acquiring user location information" is a function for acquiring the user's current geographical location.

[1671] The "means for acquiring weather information for the user" is a function for acquiring the weather information for the location where the user is located.

[1672] The "means for acquiring information about the user's hobbies and preferences" is a function for acquiring information about the user's interests and preferences.

[1673] "Means for generating personalized ideas using generative AI models" refers to a function for generating personalized proposals and ideas using generative AI models based on acquired information.

[1674] The "means for displaying the generated idea on the user terminal" is a function for displaying the generated idea on the terminal used by the user.

[1675] The "means for accepting idea input from the user" is a function that allows the user to input his or her own ideas or suggestions.

[1676] "Means for converting ideas entered by a user into prompt sentences and generating feedback using a generative AI model" refers to a function that analyzes ideas entered by a user, converts them into prompt sentences, and automatically generates feedback for those ideas using a generative AI model.

[1677] The "means for displaying the generated feedback on the user terminal" is a function for displaying the generated feedback on the terminal used by the user.

[1678] The system of the present invention provides users with personalized ideas and generates feedback to help them improve their own ideas. The system acquires information about the user's time, location, weather, hobbies, and preferences, and the AI ​​generates new ideas based on this information.

[1679] Obtaining and saving user information

[1680] When a user logs in for the first time, the device displays a screen where they can enter profile information such as their name, hobbies, and preferences. After the user enters this information, the device sends the data to the server. The server stores the received information in a database (for example, MySQL or PostgreSQL). Additionally, each time the user uses the app, the device obtains the current time, location information (using the GPS sensor), and weather information (from an external API, for example, OpenWeatherMap), and sends this data to the server. The server updates the received information in the database for each user.

[1681] Personalized idea generation

[1682] The server generates a prompt for the generative AI model (for example, OpenAI's GPT or BERT) based on the saved user profile information and current time, location, and weather information. For example, it generates a prompt such as, "Current location is Tokyo, weather is sunny, time is 7 o'clock. My hobby is cooking. Please give me some new breakfast ideas." The server sends the generated prompt to the generative AI. The generative AI generates the best idea for the user based on the prompt. The generated idea is sent to the server, and the server sends it to the device. The device displays the generated idea to the user.

[1683] User idea feedback

[1684] When a user inputs their idea, the device sends it to the server. The server converts the input idea into a prompt and generates feedback using a generative AI model. For example, the server generates a prompt such as, "The user suggested 'How about putting kiwi on pizza?' Please provide your feedback." The generative AI generates feedback based on the prompt, providing advice such as, "The sourness and sweetness of kiwi go well with tomato sauce, but try combining it with mozzarella cheese." The generated feedback is sent to the device via the server, and the device displays it to the user.

[1685] Specific examples

[1686] Example 1: Providing personalized ideas

[1687] User: A cooking enthusiast opens the app at 7am.

[1688] Device: Obtain the current location (Tokyo), weather (sunny), and time (7:00) and send them to the server.

[1689] Server: Create a prompt to send this information to the generation AI: "Current location: Tokyo, weather: sunny, time: 7 o'clock. My hobby is cooking. Please provide some new breakfast ideas."

[1690] Generative AI: Generates the idea, "Try an omelet with fresh vegetables for breakfast. Adding tomatoes and basil is delicious."

[1691] Server: Sends the generated ideas to the device.

[1692] Terminal: Displays the idea to the user.

[1693] Example 2: Bouncing ideas off each other and giving feedback

[1694] User: Enters "What about kiwi on pizza" as a new recipe idea.

[1695] Terminal: Send this idea to the server.

[1696] Server: Converts the input idea into a prompt to be sent to the generative AI. "The user suggested 'How about kiwi on pizza?' Please provide feedback."

[1697] Generative AI: Generates feedback such as, "The tartness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[1698] Server: Sends feedback to the device.

[1699] Terminal: Display feedback to the user.

[1700] In this way, the system of the present invention continuously provides users with personalized ideas and provides feedback to further develop their own ideas, allowing users to obtain fresh ideas every day and enhance their own creativity.

[1701] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1702] Step 1:

[1703] When a user logs in for the first time, the device displays a screen where they can enter profile information such as their name, hobbies, and preferences.

[1704] Input: User profile information (name, hobbies, preferences, etc.).

[1705] Output: The profile information entered.

[1706] Specific operation: The device temporarily stores the profile information entered by the user and sends it to the server.

[1707] Step 2:

[1708] Every time a user uses the app, the device obtains the current time, location information (using the GPS sensor), and weather information (obtained from an external API).

[1709] Input: Device sensors and API requests.

[1710] Output: Current time, location, and weather information.

[1711] Specific operation: Obtain location information from the device's sensors, obtain weather information from an external API, and obtain the current time from the system clock.

[1712] Step 3:

[1713] The terminal transmits the information acquired in step 2 to the server.

[1714] Input: Current time, location, and weather information.

[1715] Output: Information sent to the server.

[1716] Specific operation: The terminal sends this information to the server using a communication method such as an HTTP request.

[1717] Step 4:

[1718] The server stores or updates the information received in steps 1 and 2 in a database.

[1719] Input: User profile information, current time, location, and weather information.

[1720] Output: Information saved or updated in the database.

[1721] Specific operation: The server saves or updates the received information in the corresponding user's record in the database.

[1722] Step 5:

[1723] The server generates prompt sentences for the generative AI model based on the saved user profile information and current time, location, and weather information.

[1724] Input: Information stored in a database.

[1725] Output: The generated prompt statement.

[1726] Specific operation: The server references the saved information and generates a prompt according to the specified format. Example: "Current location is Tokyo, weather is sunny, time is 7 o'clock. My hobby is cooking. Please give me some new breakfast ideas."

[1727] Step 6:

[1728] The server sends the generated prompt to the generation AI.

[1729] Input: The generated prompt statement.

[1730] Output: The prompt sent to the generation AI.

[1731] Specific operation: The server sends a prompt to the generation AI API and requests idea generation.

[1732] Step 7:

[1733] The generative AI generates new ideas that are best suited to the user based on the prompt text.

[1734] Input: prompt statement.

[1735] Output: Generated ideas.

[1736] Specific operation: The generative AI analyzes the prompt sentence and generates appropriate ideas by referring to its internal database.

[1737] Step 8:

[1738] The generating AI sends the generated ideas back to the server.

[1739] Input: Ideas generated by generative AI.

[1740] Output: The ideas sent back to the server.

[1741] Specific operation: The generation AI returns the generated ideas to the server as an API response.

[1742] Step 9:

[1743] The server transmits the generated ideas to the terminal.

[1744] Input: Generated ideas.

[1745] Output: Ideas sent to the terminal.

[1746] Specific operation: The server transmits the generated ideas to the terminal via a communication means.

[1747] Step 10:

[1748] The terminal displays the generated ideas to the user.

[1749] Input: Ideas sent by the server.

[1750] Output: The idea displayed on the user's terminal.

[1751] Specific operation: The terminal displays the generated ideas on a GUI so that the user can view them.

[1752] Step 11:

[1753] When the user inputs his / her idea, the terminal transmits the idea to the server.

[1754] Input: Ideas entered by the user into the terminal.

[1755] Output: The ideas sent to the server.

[1756] Specific operation: The terminal sends the idea entered by the user to the server via a communication method such as an HTTP request.

[1757] Step 12:

[1758] The server converts the user's idea into a prompt sentence and sends it to the generation AI.

[1759] Input: User-entered ideas.

[1760] Output: The prompt to send to the generation AI.

[1761] Specific operation: The server takes the user's idea as a parameter and converts it into a format that the AI ​​can understand, then generates a prompt. Example: "The user suggested 'How about putting kiwi on pizza?' Please provide feedback."

[1762] Step 13:

[1763] The generative AI generates feedback based on the prompt text.

[1764] Input: The generated prompt statement.

[1765] Output: The generated feedback.

[1766] Specific behavior: The generative AI analyzes the prompt sentence and generates appropriate feedback by referring to its internal database. Example: "The sour and sweet taste of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[1767] Step 14:

[1768] The generating AI sends the generated feedback back to the server.

[1769] Input: Feedback generated by the generative AI.

[1770] Output: Feedback sent back to the server.

[1771] Specific operation: The generation AI returns the generated feedback to the server as an API response.

[1772] Step 15:

[1773] The server transmits the generated feedback to the terminal.

[1774] Input: Generated feedback.

[1775] Output: Feedback sent to the device.

[1776] Specific operation: The server transmits the generated feedback to the terminal via a communication means.

[1777] Step 16:

[1778] The terminal displays the generated feedback to the user.

[1779] Input: Feedback sent by the server.

[1780] Output: Feedback displayed on the user's terminal.

[1781] Specific operation: The device displays the generated feedback on the GUI so that the user can view it.

[1782] (Application example 1)

[1783] 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."

[1784] Conventional food delivery systems lack personalized suggestions based on users' habits and preferences, making it difficult for users to get suggestions and feedback on new dishes or menu items when trying them. Also, when users come up with new ideas, there is no way to get immediate feedback to improve them from other perspectives.

[1785] 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.

[1786] In this invention, the server includes means for acquiring the user's time zone, means for acquiring the user's location information, means for acquiring the user's weather information, means for acquiring information on the user's hobbies and preferences, means for generating personalized ideas based on the acquired information, means for displaying the generated ideas to the user, means for accepting idea input from the user, means for reviewing the ideas input by the user and generating feedback, means for displaying the generated feedback to the user, and means for suggesting dishes and menus based on the user's food delivery purchase history and local information. This not only enables users to receive personalized dish and menu suggestions tailored to their individual circumstances and preferences, but also allows them to receive feedback on their own ideas, significantly improving the means for enjoying new dishes and menus.

[1787] The "means for acquiring the user's time zone" is a device or software that collects information on the user's behavior during a specific time zone.

[1788] The "means for acquiring user location information" refers to a device or software that acquires information about the user's current location.

[1789] The "means for acquiring user's weather information" refers to a device or software that acquires information about the user's current weather.

[1790] The "means for acquiring information about a user's hobbies and preferences" refers to a device or software that collects data about a user's interests and preferences.

[1791] The "means for generating personalized ideas based on acquired information" refers to a device or software that generates ideas specific to a user based on collected information.

[1792] The "means for displaying the generated ideas to the user" is a device or software that visually presents the generated ideas to the user.

[1793] The "means for accepting idea input from a user" refers to a device or software that receives ideas input by a user.

[1794] The "means for examining ideas input by users and generating feedback" refers to a device or software that analyzes ideas input by users and suggests improvements.

[1795] The "means for displaying generated feedback to the user" is a device or software that visually presents the generated feedback to the user.

[1796] "Means for suggesting dishes and menus based on a user's purchase history and local information in food delivery" refers to a device or software that suggests personalized dishes and menus based on a user's past ordering history and local information.

[1797] The system embodying the present invention proposes personalized dishes and menus in a food delivery application by taking into account a user's purchase history, local information, weather information, time of day, and preferences and hobbies, and also generates and provides feedback to the user on new ideas submitted by the user.

[1798] System configuration

[1799] server

[1800] It has functions for obtaining and saving user information.

[1801] Idea generation and feedback generation are performed using generative AI.

[1802] The database stores user profile information, purchase history, and idea data.

[1803] Terminal

[1804] Users access the application using their smartphones.

[1805] Provides a screen for entering and displaying user profile information when logging in.

[1806] It has the function of obtaining the current time, location information, and weather information.

[1807] Data acquisition and processing

[1808] The server uses the following main hardware and software:

[1809] Python: for the overall program control logic

[1810] API (HTTP communication): For obtaining user and weather information and interfacing with the generating AI

[1811] Generative AI: For personalized food and menu suggestions, and feedback generation for user ideas

[1812] When a user logs in to the application, the server stores information in a database based on the user's profile information (such as name, hobbies, preferences, etc.) The device obtains the user's current time, location, and weather information and sends it to the server.

[1813] Generate personalized suggestions

[1814] The server sends the acquired current time, location information, weather information, and user profile information to the generation AI, which then refers to a database of previously accumulated ideas to generate ideas for dishes and menus suitable for the user. These ideas are sent to the device via the server and displayed to the user.

[1815] Generate feedback

[1816] When a user inputs an idea for a new menu or dish, the device sends the idea to the server. The server passes the idea to the generation AI, which generates feedback for the user's idea based on the idea database. The generated feedback is sent to the device via the server and displayed to the user.

[1817] Specific examples

[1818] For example, if a user indicates to the application that they live in Tokyo and would like to order breakfast at 8 a.m. before work, the system will consider the user's location (Tokyo), current weather (sunny), time (8 a.m.), and preferences based on their profile information (e.g., a preference for Japanese food) and suggest a rice ball set meal and hot miso soup. If the user then inputs a question about bamboo shoots as a new rice ball filling, the system will provide feedback on the idea, saying, "Bamboo shoots are a good idea for a rice ball filling, but adding bonito flakes will enhance the flavor."

[1819] This allows users to receive feedback on specialized menu suggestions and ideas on a daily basis to improve their dining experience.

[1820] Prompt Sentence Examples

[1821] User Profile:

[1822] Location: Tokyo

[1823] Time: 8:00 AM

[1824] Weather: Sunny

[1825] Favorite food: Japanese food

[1826] By entering the above prompt sentence, the system can make personalized menu suggestions that are best suited to the user.

[1827] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1828] Step 1:

[1829] A user logs in to an application on a smartphone device. When logging in, the user enters their profile information (name, hobbies, preferences, etc.), which is collected by the device and sent to the server. Input: User's profile information. Output: Sending profile information to the server.

[1830] Step 2:

[1831] The device uses the device's built-in functions and APIs to obtain the current time, location, and weather information. The obtained information is sent to the server. Input: Time, location, and weather information obtained from the device's built-in functions and APIs. Output: Current time, location, and weather information sent to the server.

[1832] Step 3:

[1833] The server stores the received profile information, current time, location information, and weather information in a database. Input: Information sent from the device. Output: Information saved in the database.

[1834] Step 4:

[1835] The server requests the generation AI to suggest personalized dishes and menus based on the information received. The generation AI references a database of past ideas to generate new ideas. Input: saved profile information, current time, location, weather information. Output: personalized suggestions.

[1836] Step 5:

[1837] The food and menu suggestions generated by the generative AI are sent to the device via the server and displayed to the user on the device. Input: Personalized suggestions from the generative AI. Output: Display of suggestions on the user's device.

[1838] Step 6:

[1839] The user inputs ideas for new dishes or menus into the terminal and sends the information to the server. Input: User's ideas. Output: User's ideas sent to the server.

[1840] Step 7:

[1841] The server passes the received user ideas to the generation AI, which then generates feedback based on the idea database. Input: User's idea. Output: Generated feedback.

[1842] Step 8:

[1843] The feedback generated by the generation AI is sent to the terminal via the server and displayed to the user on the terminal. Input: Feedback from the generation AI. Output: Display of feedback on the user terminal.

[1844] This allows users to receive suggestions for dishes and menus that suit their individual circumstances and preferences, and also receive feedback on their own ideas.

[1845] 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.

[1846] The system of the present invention not only provides users with personalized ideas and generates feedback to help them improve their own ideas, but also recognizes the user's emotions to further customize the ideas and feedback. Specific operations of the system are described below.

[1847] System configuration and operation

[1848] 1. Acquiring and storing user information

[1849] When a user logs in for the first time, the device displays a screen where the user can enter their profile information (such as name, hobbies, and preferences). This information is sent to the server and stored in a database. Each time the user uses the app, the device obtains the current time, location, and weather information. This information is sent to the server. The emotion engine also analyzes the user's facial expressions, voice, and input content to obtain emotional information. This emotional information is also sent to the server.

[1850] 2. Personalized idea generation

[1851] The server sends the acquired time, location information, weather information, user profile information, and emotion information to the generation AI. The generation AI then references the idea database and generates new ideas suitable for the user based on this information. The generated ideas are sent to the device via the server and displayed to the user.

[1852] 3. Feedback on user ideas

[1853] When a user inputs their idea, the device sends it to the server. The server passes the input idea and the acquired emotional information to the generation AI, which then generates feedback and suggestions for improvement for the user's idea based on the idea database. The generated feedback is sent to the device via the server and displayed to the user.

[1854] Specific examples

[1855] Example 1: Providing personalized ideas

[1856] User: A cooking enthusiast opens the app at 7am.

[1857] Device: Obtains the current location (Tokyo), weather (sunny), and time (7:00) and sends them to the server. It also analyzes the user's facial expressions and voice to obtain emotional information, which is also sent to the server.

[1858] Server: Sends this information to the generation AI.

[1859] Generative AI: Generates the idea, "Try an omelet with fresh vegetables for breakfast. It tastes good with tomatoes and basil." This idea is suggested based on emotional information that the user is not stressed.

[1860] Server: Sends the generated ideas to the device.

[1861] Terminal: Displays the idea to the user.

[1862] Example 2: Bouncing ideas off each other and giving feedback

[1863] User: Enters "What about kiwi on pizza" as a new recipe idea.

[1864] Terminal: Send this idea to the server.

[1865] Server: Sends the input idea and user's emotional information to the generation AI.

[1866] Generative AI: Generates feedback such as, "The sour and sweet taste of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese." This feedback is suggested based on the user's positive sentiment.

[1867] Server: Sends feedback to the device.

[1868] Terminal: Display feedback to the user.

[1869] In this way, the system of the present invention provides users with personalized, emotion-based ideas and provides feedback to further develop their own ideas, thereby enabling users to enhance their creativity at a deeper level.

[1870] The processing flow will be explained below.

[1871] Step 1:

[1872] The user launches the app.

[1873] The device displays a login screen and prompts the user to enter a username and password.

[1874] Step 2:

[1875] The user enters the username and password and clicks the "Login" button.

[1876] The device sends the login information to the server.

[1877] Step 3:

[1878] The server authenticates the user information and obtains profile information (name, hobbies, preferences, etc.). If this is the first time the user logs in, the server instructs the device to display a profile entry screen for the user.

[1879] Step 4:

[1880] The user enters profile information and presses the "Submit" button.

[1881] The device transmits the entered profile information to the server.

[1882] The server stores the profile information in a database.

[1883] Step 5:

[1884] The user launches the app.

[1885] Your device gets the current time, location, and weather information.

[1886] The terminal transmits this information to the server.

[1887] Step 6:

[1888] The device analyzes the user's facial expressions, voice, and input content to obtain emotional information about the user, which is then sent to the server.

[1889] Step 7:

[1890] The server sends the received time, location information, weather information, user profile information, and emotion information to the generation AI.

[1891] Step 8:

[1892] The generation AI refers to the idea database and generates personalized ideas based on the user's information and emotions, and returns the generated ideas to the server.

[1893] Step 9:

[1894] The server transmits the generated ideas to the terminal.

[1895] The terminal displays the idea to the user.

[1896] Step 10:

[1897] The user enters their idea into the app's idea input form.

[1898] The terminal transmits the input idea to the server.

[1899] Step 11:

[1900] The server sends the received ideas and acquired emotional information to the generation AI.

[1901] The generative AI generates feedback and improvement suggestions for the user's idea based on the idea database, and returns the generated feedback to the server.

[1902] Step 12:

[1903] The server transmits the generated feedback to the terminal.

[1904] The device displays the feedback to the user.

[1905] This allows users to receive personalized ideas that also reflect emotional information, and receive feedback to further develop their ideas.

[1906] Example 2

[1907] 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."

[1908] In today's information-saturated society, it is not easy for users to generate creative ideas on their own. Furthermore, obtaining personalized ideas and feedback that reflect the user's situation and emotions requires a great deal of time and effort. Therefore, there is a need for a system that can provide personalized ideas that reflect the user's individual situation and quickly provide appropriate feedback on the ideas entered by the user.

[1909] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1910] In this invention, the server includes means for acquiring the user's time zone, means for acquiring the user's location information, means for acquiring the user's weather information, means for acquiring information on the user's hobbies and preferences, means for acquiring the user's emotional information, means for generating personalized ideas based on the acquired information, means for displaying the generated ideas to the user, means for accepting idea input from the user, means for examining the ideas and emotional information input by the user and generating feedback, and means for displaying the generated feedback to the user. This allows the user to quickly obtain personalized ideas that suit their own situation and emotions, and further allows them to receive appropriate feedback on their own ideas.

[1911] The "means for acquiring the user's time zone" is a mechanism for acquiring the specific time zone (e.g., morning, afternoon, night) during which the user is using the application.

[1912] "Means for obtaining user location information" refers to a mechanism for obtaining geographical information such as the latitude and longitude of the user's current location, city name, and country name.

[1913] The "means for acquiring user's weather information" is a mechanism for acquiring information about the weather in the area where the user is currently located (e.g., sunny, rainy, snowy, wind speed, humidity, etc.).

[1914] The "means for acquiring information about the user's hobbies and preferences" is a mechanism for collecting information such as hobbies, interests, and preferences that the user has entered in advance.

[1915] "Means for acquiring user emotional information" refers to a mechanism for analyzing the user's facial expressions, voice, input content, etc., to acquire their emotional state at that time (e.g., joy, sadness, anger, stress, etc.).

[1916] "Means for generating personalized ideas based on acquired information" refers to a mechanism for generating new ideas that are individually suited based on collected data such as the user's time of day, location, weather, hobbies, preferences, and emotions.

[1917] The "means for displaying the generated ideas to the user" is a mechanism for displaying the generated personalized ideas on the user's terminal.

[1918] The "means for accepting idea input from the user" is a mechanism for the user to input their own ideas into the application.

[1919] "Means for scrutinizing ideas and emotional information entered by users and generating feedback" refers to a mechanism for analyzing ideas entered by users and the emotional information they provide at the time, and generating better feedback and suggestions for improvement based on that information.

[1920] The "means for displaying the generated feedback to the user" is a mechanism for displaying the generated feedback on the user's terminal.

[1921] The system of the present invention not only provides users with personalized ideas and generates feedback to help them improve their own ideas, but also recognizes the user's emotions to further customize the ideas and feedback. Specific operations of the system are described below.

[1922] System configuration and operation

[1923] The system of the present invention is configured using a user terminal, a server, an emotion engine, and a generation AI.

[1924] Obtaining and saving user information

[1925] When a user logs in for the first time, the device displays a screen where the user can enter their profile information (such as name, hobbies, and preferences). This information is sent to the server and stored in a database. Each time the user uses the app, the device obtains the current time, location, and weather information. This information is sent to the server. The emotion engine also analyzes the user's facial expressions, voice, and input content to obtain emotional information. This emotional information is also sent to the server.

[1926] Personalized idea generation

[1927] The server sends the acquired time, location information, weather information, user profile information, and emotion information to the generation AI. The generation AI then references the idea database and generates new ideas suitable for the user based on this information. The generated ideas are sent to the device via the server and displayed to the user.

[1928] User idea feedback

[1929] When a user inputs their idea, the device sends it to the server. The server passes the input idea and the acquired emotional information to the generation AI, which then generates feedback and suggestions for improvement for the user's idea based on the idea database. The generated feedback is sent to the device via the server and displayed to the user.

[1930] Specific examples

[1931] Example 1: Providing personalized ideas

[1932] 1. User: A cooking enthusiast opens the app at 7am.

[1933] 2. Device: Obtains the current location (Tokyo), weather (sunny), and time (7:00) and sends them to the server. It also analyzes the user's facial expressions and voice to obtain emotional information, which is also sent to the server.

[1934] 3. Server: Sends this information to the generation AI.

[1935] 4. Generative AI: Generates the idea, "Try an omelet with fresh vegetables for breakfast. It tastes good with tomatoes and basil." This idea is suggested based on the user's emotional information, which indicates that the user is not stressed.

[1936] 5. Server: Sends the generated ideas to the device.

[1937] 6. Terminal: displays the idea to the user.

[1938] Example 2: Bouncing ideas off each other and giving feedback

[1939] 1. User: Enters "What about kiwi on pizza" as a new recipe idea.

[1940] 2. Terminal: Sends this idea to the server.

[1941] 3. Server: Sends the input idea and user emotion information to the generation AI.

[1942] 4. Generative AI: Generates feedback such as, "The sourness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese." This feedback is suggested based on the user's positive sentiment.

[1943] 5. Server: Sends feedback to the device.

[1944] 6. Terminal: Display feedback to the user.

[1945] In this way, the system of the present invention provides users with personalized, emotion-based ideas and provides feedback to further develop their own ideas, thereby enabling users to enhance their creativity at a deeper level.

[1946] Prompt Sentence Examples

[1947] Personalized idea generation prompt:

[1948] User profile: Cooking is my hobby

[1949] Current time: 7am

[1950] Location: Tokyo

[1951] Weather: Sunny

[1952] Emotional information: No stress

[1953] Feedback prompt for user ideas:

[1954] User Idea: Kiwi on Pizza

[1955] Emotion information: favorable

[1956] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1957] Step 1: Enter user login information

[1958] When a user logs in to the terminal for the first time, a screen is displayed for entering the user's profile information (such as name, hobbies, preferences, etc.).

[1959] Input: Profile information you enter, such as your name, hobbies, and preferences.

[1960] Output: Sending profile information from device to server.

[1961] Specifically, the user inputs "Name: Tanaka," "Hobby: Cooking," "Favorites: Japanese cuisine," etc. This information is then sent from the terminal to the server.

[1962] Step 2: Save your profile information

[1963] The server stores the transmitted information in a database.

[1964] Input: User profile information sent from the device.

[1965] Output: User profile information stored in a database.

[1966] For example, store "Name: Tanaka", "Hobbies: Cooking", "Preferences: Japanese cuisine", etc. in the "User" table of the database.

[1967] Step 3: Obtaining real-time information during user use

[1968] Each time the user uses the app, the device obtains the current time, location information, and weather information.

[1969] Input: System time, data from the Location API, and Weather API.

[1970] Output: Sending time, location and weather information to the server.

[1971] For example, when the app is opened, the information "Time: 7:00", "Location: Tokyo", and "Weather: Sunny" is obtained and sent to the server.

[1972] Step 4: Acquiring emotional information

[1973] The emotion engine analyzes the user's facial expressions, voice, input content, etc. to obtain emotional information.

[1974] Input: User's camera footage, audio data, and input text.

[1975] Output: Sending the analyzed emotion information to the server.

[1976] As an example of how it works, the camera recognizes the user's face, and the analysis results are used to obtain data such as "emotion: no stress" and send it to the server.

[1977] Step 5: Personalized idea generation request

[1978] The server sends the acquired time, location information, weather information, user profile information, and emotion information to the generation AI.

[1979] Input: Time, location, weather, profile, emotion.

[1980] Output: Sends the prompt to the generation AI.

[1981] As an example of a prompt, the following data is sent to the generation AI: "Time: 7 o'clock, Location: Tokyo, Weather: Sunny, Hobby: Cooking, Emotion: No stress."

[1982] Step 6: Personalized idea generation

[1983] The generative AI refers to the idea database and generates new ideas suitable for the user based on this information.

[1984] Input: Prompt text from the server.

[1985] Output: Generated ideas.

[1986] As an example of how it works, it generates the idea, "Try an omelet with fresh vegetables for breakfast. It's delicious with tomatoes and basil."

[1987] Step 7: Distributing your ideas to users

[1988] The server transmits the generated ideas to the terminal.

[1989] Input: Ideas from generative AI.

[1990] Output: Sending ideas to a device.

[1991] Send the idea data "Try an omelet made with fresh vegetables for breakfast. It's delicious with tomatoes and basil added." to the device.

[1992] Step 8: Viewing ideas

[1993] The terminal displays the ideas to the user.

[1994] Input: Idea data from the server.

[1995] Output: Display the idea on the user screen.

[1996] Specifically, the app screen displays the message, "Try an omelet made with fresh vegetables for breakfast. It's delicious with tomatoes and basil."

[1997] Step 9: Accepting user ideas

[1998] The user inputs their idea.

[1999] Input: User's idea text.

[2000] Output: The input ideas.

[2001] Specifically, the user inputs "How about putting kiwi on pizza?"

[2002] Step 10: Submitting user ideas to the server

[2003] The terminal transmits the user's input ideas to the server.

[2004] Input: Ideas entered by users.

[2005] Output: Sending ideas to the server.

[2006] The idea data "Put kiwi on pizza" is sent to the server.

[2007] Step 11: Request feedback generation

[2008] The server passes the input idea and acquired emotional information to the generation AI.

[2009] Input: User ideas, emotional information.

[2010] Output: Send prompt to the generation AI.

[2011] As an example of a prompt, "User idea: put kiwi on pizza, emotion: positive" is sent to the generation AI.

[2012] Step 12: Generate idea feedback

[2013] The generative AI generates feedback on the user's ideas based on an idea database.

[2014] Input: Prompt text from the server.

[2015] Output: The generated feedback.

[2016] As an example of how it works, it generates feedback such as, "The sourness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[2017] Step 13: Sending feedback to the server

[2018] The generating AI sends the generated feedback to the server.

[2019] Input: Generated feedback.

[2020] Output: Sending feedback to the server.

[2021] Send the following feedback to the server: "The tartness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[2022] Step 14: Deliver feedback to users

[2023] The server transmits the generated feedback to the terminal.

[2024] Input: Feedback from the generative AI.

[2025] Output: Sending feedback to the device.

[2026] Send the following feedback to the device: "The tartness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[2027] Step 15: Viewing feedback

[2028] The terminal displays the feedback to the user.

[2029] Input: Feedback data from the server.

[2030] Output: Feedback displayed on the user's screen.

[2031] Specifically, the app screen displays the message, "The sourness and sweetness of kiwi goes well with tomato sauce, but try combining it with mozzarella cheese."

[2032] (Application example 2)

[2033] 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."

[2034] Conventional systems have difficulty providing personalized suggestions and feedback to users. In particular, they have been unable to provide personalized product recommendations and feedback in real time that take into account the user's emotional information, which has resulted in a lack of improvement in the user experience. This can lead to a decrease in user satisfaction and a decrease in purchase rates in virtual stores.

[2035] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[2036] In this invention, the server includes means for acquiring a user's time zone, means for acquiring user location information, means for acquiring user weather information, means for acquiring information on the user's hobbies and preferences, means for acquiring user emotional information, means for generating personalized ideas based on the acquired information, means for displaying the generated ideas to the user, means for accepting idea input from the user, means for examining the ideas input by the user and generating feedback, means for making individually optimized product recommendations based on the user's purchasing behavior in a virtual store, means for providing ideas and feedback based on the emotional information, and means for displaying the generated feedback to the user. This makes it possible to provide product recommendations and feedback that are optimized in real time based on the user's emotional information and various information.

[2037] The "means for acquiring the user's time zone" is for collecting the current time information when the user uses the system.

[2038] The "means for obtaining user location information" is a means for detecting and collecting information about the user's current geographical location.

[2039] The "means for acquiring weather information for the user" refers to the collection of data in cooperation with an external weather information service in order to acquire the current weather conditions in the user's location.

[2040] The "means for acquiring information about the user's hobbies and preferences" refers to collecting data about the user's interests and preferences based on the profile information registered by the user and the user's past behavioral history.

[2041] The "means for acquiring user emotional information" is a means for analyzing the user's facial expressions, voice, input contents, etc. to detect the current emotional state and collect that information.

[2042] The "means for generating personalized ideas" is a means for generating proposals and ideas that are optimized to the user's needs based on various acquired information.

[2043] The "means for displaying generated ideas to the user" is a means for visually showing the generated ideas and suggestions to the user.

[2044] The "means for accepting idea input from the user" is used to collect information when the user inputs their own ideas or requests into the system.

[2045] The "means for reviewing ideas input by users and generating feedback" is a means for evaluating ideas provided by users and generating suggestions for improvements or additions to them.

[2046] "A means for individually optimizing product recommendations based on a user's purchasing behavior in a virtual store" is a means for recommending optimal products based on the user's behavioral data when browsing or purchasing in a virtual store.

[2047] The "means for providing ideas and feedback based on emotional information" is a means for providing appropriate ideas and feedback by taking into account the emotional state of the user.

[2048] The "means for displaying the generated feedback to the user" is a means for visually showing the generated feedback to the user.

[2049] The system of the present invention provides personalized ideas to users and further optimizes feedback on the user's ideas based on emotion information. Specific embodiments of the system are described below.

[2050] System configuration and information collection

[2051] The system is equipped with a means for acquiring information about the user's time zone, location, weather, hobbies and preferences, and emotional information. Specifically, this information is collected using a device such as a smartphone and sent to a server. Emotional information is acquired by analyzing the user's facial expressions and voice data using an emotion recognition engine.

[2052] Personalized idea generation

[2053] The server inputs the acquired information into the generation AI to generate personalized ideas suitable for the user. This generation AI references an idea database and generates new ideas using prompts based on the user information. The generated ideas are displayed on the user's device via the server.

[2054] User idea feedback

[2055] When a user inputs a new idea, the information is sent to the server via the device. The server then sends the input idea along with emotional information to the generation AI, which then generates feedback and improvement suggestions based on the idea database. This feedback is optimized based on the user's emotional information, making it more effective. The generated feedback is then displayed on the user's device via the server.

[2056] Specific examples

[2057] Personalized product recommendation example

[2058] User: Considering buying sneakers in a virtual store.

[2059] Terminal: Obtains current location (Tokyo), weather (sunny), and time (14:00), analyzes emotional information (excitement level), and sends this information to the server.

[2060] Server: Sends the acquired information to the generation AI and generates individually optimized product proposals.

[2061] Generative AI: Generates a suggestion such as, "We recommend these casual sneakers that are perfect for the sunny weather in Tokyo right now. They are on sale in limited quantities."

[2062] Server: Sends the generated suggestions to the device and displays them to the user.

[2063] Prompt Sentence Examples

[2064] Prompt text:

[2065] "User information: Hobbies: Sports, Preferences: Casual fashion, Location: Tokyo, Weather: Sunny, Time: 2:00 PM, Emotional information: Excited, User request: I want new sneakers for the office."

[2066] Generated suggestions:

[2067] "Since users are in a state of excitement, we are proposing 'casual sneakers with excellent comfort and design' to further lift their spirits. In particular, our latest sneakers are perfect for the sunny weather we're currently experiencing in Tokyo. They are on sale now, in limited quantities."

[2068] This allows the system to provide optimized product recommendations and feedback in real time based on the user's emotional information and various other information.

[2069] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2070] Step 1:

[2071] Obtaining and saving user information

[2072] When a user logs in for the first time, the device displays a screen for entering profile information (such as name, hobbies, preferences, etc.) The information entered by the user is sent to the server and stored in a database for further analysis and idea generation.

[2073] Input: User profile information

[2074] Output: User information stored in the database

[2075] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[2076] Step 2:

[2077] Current information gathering

[2078] Each time a user uses the app, the device obtains the current time, location, and weather information. Weather information is obtained from a weather information service via an API. The device also uses an emotion engine to analyze the user's facial expressions and voice to obtain emotional information. This information is then sent to the server.

[2079] Input: Time, location, weather, emotion

[2080] Output: Current information sent to the server

[2081] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[2082] Step 3:

[2083] Personalized idea generation

[2084] The server sends the acquired time, location, weather, user profile, and emotional information to the generation AI to generate personalized ideas. The generation AI then references the idea database based on this information to generate new ideas.

[2085] Input: User information, current information (time, location, weather, emotion)

[2086] Data processing / data calculation: Combining information to generate AI that generates appropriate ideas

[2087] Output: Generated personalized ideas

[2088] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[2089] Step 4:

[2090] Viewing ideas

[2091] The server transmits the generated ideas to the terminal, which displays the ideas to the user.

[2092] Input: Generated personalized ideas

[2093] Output: Display the idea to the user

[2094] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[2095] Step 5:

[2096] Obtaining user ideas

[2097] When a user inputs a new idea, the device sends the idea to the server, which includes the text data entered by the user.

[2098] Input: User-entered ideas

[2099] Output: User ideas sent to the server

[2100] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[2101] Step 6:

[2102] Generate feedback

[2103] The server sends the idea entered by the user and the acquired emotional information to the generation AI, which then generates feedback and improvement suggestions for the entered idea based on the idea database.

[2104] Input: User input ideas, emotional information

[2105] Data processing / data calculation: Generative AI generates optimal feedback based on an idea database

[2106] Output: The generated feedback

[2107] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

[2108] Step 7:

[2109] View Feedback

[2110] The server sends the generated feedback to the terminal, which displays the feedback to the user.

[2111] Input: Generated feedback

[2112] Output: Display feedback to the user

[2113] 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.

[2114] 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.

[2115] 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.

[2116] 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.

[2117] 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.

[2118] 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.

[2119] 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).

[2120] 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.

[2121] 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."

[2122] 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.

[2123] 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).

[2124] 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.

[2125] 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.

[2126] 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.

[2127] 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.

[2128] 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.

[2129] 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.

[2130] 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.

[2131] 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.

[2132] 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.

[2133] 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.

[2134] The following is further disclosed regarding the above embodiment.

[2135] (Claim 1)

[2136] means for obtaining a user's time zone;

[2137] A means for acquiring user location information;

[2138] means for obtaining weather information for a user;

[2139] means for obtaining information about a user's hobbies and preferences;

[2140] a means for generating personalized ideas based on the acquired information;

[2141] a means for displaying the generated ideas to a user;

[2142] means for accepting idea input from a user;

[2143] a means for reviewing ideas input by users and generating feedback;

[2144] means for displaying the generated feedback to the user;

[2145] A system including:

[2146] (Claim 2)

[2147] 2. The system according to claim 1, wherein the means for generating personalized ideas refers to a database of ideas accumulated in the past and generates new ideas based on user information.

[2148] (Claim 3)

[2149] The system of claim 1, wherein the feedback generation means for an idea input by a user uses a generation AI to make suggestions for brushing up the idea based on related information in the database.

[2150] "Example 1"

[2151] (Claim 1)

[2152] A means for obtaining user time information;

[2153] A means for acquiring user location information;

[2154] means for obtaining weather information for a user;

[2155] means for obtaining information about a user's hobbies and preferences;

[2156] a means for generating personalized ideas using a generative AI model based on the acquired information;

[2157] a means for displaying the generated ideas on a user terminal;

[2158] means for accepting idea input from a user;

[2159] A means for converting ideas input by a user into prompt sentences and generating feedback using a generative AI model;

[2160] means for displaying the generated feedback on a user terminal;

[2161] A system including:

[2162] (Claim 2)

[2163] 2. The system according to claim 1, wherein the means for generating personalized ideas refers to a database of ideas accumulated in the past and generates new ideas based on user information.

[2164] (Claim 3)

[2165] The system of claim 1, wherein the feedback generation means for an idea input by a user uses a generative AI model to make suggestions for improving the idea based on related information in the database.

[2166] "Application Example 1"

[2167] (Claim 1)

[2168] means for obtaining a user's time zone;

[2169] A means for acquiring user location information;

[2170] means for obtaining weather information for a user;

[2171] means for obtaining information about a user's hobbies and preferences;

[2172] a means for generating personalized ideas based on the acquired information;

[2173] a means for displaying the generated ideas to a user;

[2174] means for accepting idea input from a user;

[2175] a means for reviewing ideas input by users and generating feedback;

[2176] means for displaying the generated feedback to the user;

[2177] A means of suggesting dishes and menus based on the user's purchase history and local information for food delivery,

[2178] A system including:

[2179] (Claim 2)

[2180] 2. The system according to claim 1, wherein the means for generating personalized ideas refers to a database of ideas accumulated in the past and generates new ideas based on user information.

[2181] (Claim 3)

[2182] The system of claim 1, wherein the feedback generation means for an idea input by a user uses a generation AI to make suggestions for brushing up the idea based on related information in the database.

[2183] "Example 2: Combining Emotion Engines"

[2184] (Claim 1)

[2185] means for obtaining a user's time zone;

[2186] A means for acquiring user location information;

[2187] means for obtaining weather information for a user;

[2188] means for obtaining information about a user's hobbies and preferences;

[2189] A means for acquiring user emotion information;

[2190] a means for generating personalized ideas based on the acquired information;

[2191] a means for displaying the generated ideas to a user;

[2192] means for accepting idea input from a user;

[2193] a means for examining the ideas and emotional information input by the user and generating feedback;

[2194] means for displaying the generated feedback to the user;

[2195] A system including:

[2196] (Claim 2)

[2197] 2. The system according to claim 1, wherein the means for generating personalized ideas refers to a database of previously accumulated information and generates new ideas based on user information.

[2198] (Claim 3)

[2199] The system of claim 1, wherein the feedback generation means for an idea input by a user uses a generation AI to make suggestions for brushing up the idea based on related information in the database.

[2200] "Application example 2 when combining emotion engines"

[2201] Addition of claims

[2202] (Claim 1)

[2203] means for obtaining a user's time zone;

[2204] A means for acquiring user location information;

[2205] means for obtaining weather information for a user;

[2206] means for obtaining information about a user's hobbies and preferences;

[2207] A means for acquiring user emotion information;

[2208] a means for generating personalized ideas based on the acquired information;

[2209] a means for displaying the generated ideas to a user;

[2210] means for accepting idea input from a user;

[2211] a means for reviewing ideas input by users and generating feedback;

[2212] A means for individually optimizing product recommendations based on the user's purchasing behavior in a virtual store;

[2213] A means of providing ideas and feedback based on emotional information;

[2214] means for displaying the generated feedback to the user;

[2215] A system including:

[2216] (Claim 2)

[2217] 2. The system according to claim 1, wherein the means for generating personalized ideas refers to a database of ideas accumulated in the past and generates new ideas based on user information.

[2218] (Claim 3)

[2219] The system of claim 1, wherein the feedback generation means for an idea input by a user uses a generation AI to make suggestions for brushing up the idea based on related information in the database. [Explanation of symbols]

[2220] 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 obtaining a user's time zone; A means for acquiring user location information; means for obtaining weather information for a user; means for obtaining information about a user's hobbies and preferences; a means for generating personalized ideas based on the acquired information; a means for displaying the generated ideas to a user; means for accepting idea input from a user; a means for reviewing ideas input by users and generating feedback; means for displaying the generated feedback to the user; A system including:

2. 2. The system according to claim 1, wherein the means for generating personalized ideas refers to a database of ideas stored in the past and generates new ideas based on the user's information.

3. 2. The system according to claim 1, wherein the feedback generating means for an idea input by a user uses a generating AI to make suggestions for brushing up the idea based on related information in the database.

Images