System

Abstract

A system is provided.SOLUTION: A system comprising: first means for receiving user input data and generating original content based on occupation, name, style, and face photo; second means for invoking generative artificial intelligence to generate the original content; third means for displaying the generated original content; and fourth means for storing user preference data and sending promotional information based on specific conditions.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] In recent years, companies offering products and services for children have found it increasingly difficult to attract the interest of target users using conventional advertising methods. Generating creative advertisements tailored to individual users is particularly challenging from a budgetary perspective, and there is a demand for methods to directly appeal to users with messages based on their individual interests. This invention aims to solve these issues by providing a new system that uses generative AI to generate original manga tailored to the preferences of individual users, increasing advertising effectiveness, and delivering targeted messages using user preference data. [Means for solving the problem]

[0005] The system of the present invention includes the following means: first means for receiving user input data and generating original content based on the user's occupation, name, style, and facial photo; second means for calling a generating artificial intelligence to generate the original content; third means for displaying the generated original content; and fourth means for saving the user's preference data and transmitting promotional information based on specific conditions. The system also includes means for validating the user input data and means for receiving the input data from the user's terminal and transmitting it to the server as form data, thereby improving the reliability and efficiency of the entire system.

[0006] "User-entered data" refers to information provided by the user, such as occupation, name, style, and face photo.

[0007] "Original Content" refers to unique manga or similar creative works created by generative AI based on user-input data.

[0008] "Generative AI" refers to AI technology for generating original content from user-input data.

[0009] "Preference data" refers to information based on a user's interests and concerns, and is used for future marketing activities.

[0010] "Validation" refers to the process of checking the accuracy and completeness of user-entered data.

[0011] The "third means" refers to a method or function for displaying the generated original content to the user.

[0012] The "fourth means" refers to a method or function for storing user preference data and transmitting promotional information based on that data.

[0013] "Form data" refers to a structured data format for sending information entered by a user to a server.

[0014] "Server" refers to a system that processes input data received from a user and generates original content. [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 present invention is a system that includes user input data, generation AI, display means, preference data storage means, etc., and uses this system to generate original content and enhance advertising effectiveness.

[0037] User Input

[0038] Users enter information such as their occupation, name, style, and photo via the mini-app from their device. This input data is structured as form data and sent to the server.

[0039] Data Receipt and Validation

[0040] The server receives the form data from the user and validates it by checking whether the occupation, name, style, and face photo are entered correctly.

[0041] Calling the generated AI

[0042] Based on the data that passes validation, the server calls the generation AI, which generates original content based on the user's input data. Specifically, it creates manga stories and images according to a set algorithm based on the user's occupation, name, style, and face photo.

[0043] View content

[0044] The generated original content is sent from the server to the device. The device then displays the content in manga format on the screen based on the received data. This allows users to enjoy their own original manga.

[0045] Saving and utilizing preference data

[0046] The server stores the user's input data and information about the generated original content as preference data. This preference data is later used to deliver targeted advertisements. Specifically, event information and special offers based on the user's occupation and interests are sent via messaging services such as LINE.

[0047] Specific examples

[0048] For example, if a user uploads the name "Taro," the style "comical," and a photo of a child who wants to be a firefighter, the server receives this input data and uses generative AI to generate a manga that tells the story of how "Taro" becomes a firefighter. The generated manga is displayed on the user's device as a comical manga. During this process, the server saves data related to the name "Taro" and the occupation "firefighter" to use in future marketing activities.

[0049] As a result, the system of the present invention not only generates original content for children, but can also be effectively utilized in subsequent marketing activities. Users can receive information based on their interests while enjoying individually customized content.

[0050] The processing flow will be explained below.

[0051] Step 1:

[0052] The user opens the mini-app on LINE and enters the necessary information such as occupation, name, style, face photo, etc. In this step, the user provides the data through the interface.

[0053] Step 2:

[0054] The device collects the input data and structures it as form data. This form data is formatted to include each input item (occupation, name, style, and photo) in preparation for sending it to the server.

[0055] Step 3:

[0056] The terminal sends the form data to the server, where a security protocol is applied to protect the user data.

[0057] Step 4:

[0058] The server analyzes the form data it receives and validates its contents by checking whether the occupation, name, style, and face photo are entered correctly and whether there are any missing or incorrect information.

[0059] Step 5:

[0060] The server calls a generation AI based on the data that has passed validation. The generation AI automatically generates original content (manga) based on the acquired data (occupation, name, style, and photo).

[0061] Step 6:

[0062] The AI ​​generates manga according to a specified algorithm, for example, by using the input of the user's occupation, name, style, and face photo to create a storyline and graphics.

[0063] Step 7:

[0064] The server sends the generated original content to the terminal, allowing the user to view the generated manga.

[0065] Step 8:

[0066] The terminal displays the received original content on the screen, allowing users to view and enjoy the original manga created based on their own input data.

[0067] Step 9:

[0068] The server stores user preference data, accumulating data on the user's interests based on the information entered by the user and the content of the generated manga.

[0069] Step 10:

[0070] The server uses the stored preference data to prepare promotional messages based on specific criteria, such as events and special offers that may be of interest to the user.

[0071] Step 11:

[0072] The server sends promotional messages to users at appropriate times through messaging services such as LINE, allowing promotions based on the user's interests.

[0073] Example 1

[0074] 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."

[0075] Conventional original content generation systems have the problem that the process of efficiently managing user input data and generating individually customized content is cumbersome and time-consuming. Furthermore, they lack the functionality to accumulate user preference information based on the generated content and effectively use it in marketing activities. As a result, they have not been able to fully improve the user experience or maximize advertising effectiveness.

[0076] 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.

[0077] In this invention, the server includes a data acquisition means for receiving user input data and generating original content based on the user's occupation, name, style, and facial photograph; a means for calling a generating AI model to generate the original content; a display means for displaying the generated original content; and a data storage means for saving the user's preference data and transmitting promotional information based on specific conditions. This allows for efficient management of user input data and rapid generation of original content. Furthermore, the accumulation of preference data based on the generated content and the smooth delivery of targeted advertisements based on the data can be achieved.

[0078] "User" means any person or entity that utilizes the System to provide input data and receive Original Content.

[0079] "Input data" refers to information such as occupation, name, style, and photograph that a user provides to the system via a terminal.

[0080] "Original content" refers to customized content such as manga stories and images generated based on user input data using a generative AI model.

[0081] "Data acquisition means" refers to the function of receiving user input data, structuring it, and sending it to the system.

[0082] "Generative artificial intelligence model" refers to the algorithms and techniques, specifically AI models, used to generate original content based on user input data.

[0083] "Display means" refers to a function for displaying the generated original content on the user's terminal.

[0084] "Data storage means" refers to a function that stores information about user input data and generated original content, and accumulates it as preference data based on that information.

[0085] "Preference data" refers to information about a user's hobbies and preferences, extracted from input data and generated content, and used for marketing activities.

[0086] "Targeted advertising" refers to advertisements such as event information and special offer information tailored to a user's interests and concerns based on preference data.

[0087] "Terminal" refers to an electronic device that allows a user to access the system to provide input data or view generated content.

[0088] The present invention is a system that generates original content based on user input data, displays it, and stores it as preference data for use in marketing activities. This system mainly includes a server, a user terminal, and a generation AI model. The detailed implementation method is described below.

[0089] First, the user launches the mini-app on their device and enters the necessary information. Specifically, they fill in an input form with data such as their occupation, name, style, and photo. The device then structures this input data and sends it to the server.

[0090] Next, the server receives the input data from the terminal and performs validation. Validation is the process of checking whether each item is entered correctly and completely. For example, it checks whether the name is blank or whether the face photo has been properly uploaded. If there is an error in the data, the server returns an error message to the terminal and prompts the user to re-enter the data.

[0091] If the validation is successful, the server calls the generative AI model based on the data. Specifically, it generates a prompt sentence containing the user's information and inputs it into the generative AI model. For example, the prompt sentence might look like this:

[0092] Occupation: Firefighter

[0093] Name: Taro

[0094] Style: Comical

[0095] Photo of face: <Image data>

[0096] Using this information, please create a comical manga story in which Taro becomes a firefighter and does great things.

[0097] Based on this prompt, a generative AI model (e.g., OpenAI's GPT-4 or Google's BERT) generates an original manga story and image and returns it to the server.

[0098] The server receives the generated original content, structures it, and sends it to the terminal. The terminal receives this data and displays it in manga format on the screen, allowing users to easily enjoy their own original manga.

[0099] Furthermore, the system stores information about the user's input data and the generated original content as preference data. The preference data includes information based on the user's hobbies and interests. Based on this data, the server can later send promotional and event information to the user via messaging services such as LINE based on specific conditions. This makes it possible to deliver targeted advertisements effectively.

[0100] As described above, the present invention uses a server, terminal, and generative AI model to realize a series of processes for generating original content based on user input data and then displaying and saving it, thereby enabling effective information distribution in marketing activities.

[0101] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0102] Step 1:

[0103] The user launches the mini-app from the device and provides input data.

[0104] Input: Occupation, name, style, photo

[0105] Specific operation: The user opens the mini-app on their device and enters information such as occupation, name, style, and face photo into the form on the screen. The input data is sent by clicking the "Submit" button.

[0106] Output: Structured input data is sent from the device to the server.

[0107] Step 2:

[0108] The server receives the input data and performs validation.

[0109] Input: Structured input data

[0110] Specific operation: The server receives the data sent from the device and validates whether the occupation, name, style, and face photo are entered correctly. For example, it checks whether the name is blank and whether the photo is uploaded properly.

[0111] Output: A validation success message is generated. If there is a problem with the data, an error message is generated.

[0112] Step 3:

[0113] If validation is successful, the server invokes the generative AI model.

[0114] Input: Successfully validated input data

[0115] Specific operation: The server generates a prompt using the validated data. The prompt is then input into a generative AI model to generate original content. For example, the following prompt is constructed:

[0116] Occupation: Firefighter

[0117] Name: Taro

[0118] Style: Comical

[0119] Photo of face: <Image data>

[0120] Using this information, please create a comical manga story in which Taro becomes a firefighter and does great things.

[0121] Output: The original manga story and image data returned by the generative AI model.

[0122] Step 4:

[0123] The generated original content is structured and sent from the server to the terminal.

[0124] Input: Original content from a generative AI model

[0125] Specific operation: The server receives the generated manga story and images and structures them into a format that can be displayed on the device.

[0126] Output: The structured original content is sent from the server to the terminal.

[0127] Step 5:

[0128] The terminal receives the original content and displays it to the user.

[0129] Input: Original content sent from the server

[0130] Specific operation: The device processes the data received from the server and displays it in manga format on the screen. Users can enjoy their own original manga.

[0131] Output: The original manga displayed to the user.

[0132] Step 6:

[0133] The server stores the user's input data and the generated original content as preference data.

[0134] Input: User-entered data and original content generated.

[0135] Specific operation: The server stores this data in a database and accumulates it as preference data.

[0136] Output: Saved preference data.

[0137] Step 7:

[0138] The server carries out marketing activities based on the preference data.

[0139] Input: Saved preference data

[0140] How it works: The server analyzes the preference data and creates targeted advertisements and promotional information based on specific conditions. This information is then sent to the user via messaging services such as LINE.

[0141] Output: Targeted advertising and promotional information sent to the user.

[0142] (Application example 1)

[0143] 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."

[0144] Conventional advertising systems have had the challenge of making it difficult to generate personalized ads based on a user's individual preferences and interests. In particular, technology for generating ads using detailed data such as a user's occupation, name, style, and face photo is still immature, making it difficult to provide effectively targeted ads.

[0145] 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.

[0146] In this invention, the server includes a first means for receiving user input data and generating original content based on the user's occupation, name, style, and facial photograph, a second means for calling a generating artificial intelligence to generate the original content, a third means for displaying the generated original content, a fourth means for saving the user's preference data and transmitting sales promotion information based on specific conditions, a fifth means for generating advertising content personalized for the user, and a sixth means for displaying the personalized advertising content on the user's terminal. This makes it possible to generate and display individually customized advertisements using detailed user data.

[0147] "User-input data" refers to information such as occupation, name, style, and face photo that a user inputs through a terminal.

[0148] "Original Content" refers to unique creations and advertisements generated based on user-entered data.

[0149] "Generative AI" refers to an artificial intelligence system that generates original content based on user-input data.

[0150] "Display means" refers to a device or software that allows a user to view the generated original content.

[0151] "Preference Data" refers to information about a user's preferences and interests that is collected based on data entered by the user and / or original content generated by the user.

[0152] "Promotional Information" means promotional or advertising information relating to products or services.

[0153] "Personalized advertising content" refers to advertising content tailored to an individual user based on the user's preference data.

[0154] System Configuration

[0155] To implement this invention, a system combining the following elements is required.

[0156] 1. Collecting User-Input Data

[0157] Users use devices such as smartphones to input their occupation, name, style, and face photo. This data is sent to the server as "user-input data." This data is sent as structured form data.

[0158] 2. Data Validation

[0159] The server validates the received form data. The validation process checks whether each item (occupation, name, style, photo) is entered correctly. For example, it checks whether the photo is in the correct image format.

[0160] 3. Calling the generation AI

[0161] Based on the data that passes validation, a generation AI is called to generate original content customized for the user. The generated content could be, for example, a comical manga or advertising content. The generation AI is accessed using a default API key.

[0162] 4. Display of Content

[0163] The generated original content is sent from the server to the user's device and displayed on the device, allowing the user to enjoy their own personalized content in real time.

[0164] 5. Saving and using preference data

[0165] The server stores user preference data based on the generated content and input data. The stored preference data is used to deliver personalized advertisements and promotional information to users based on specific conditions. For example, notifications are sent via messaging services such as LINE.

[0166] Hardware and software used:

[0167] Smartphones and tablets: Devices through which users provide input data and display generated content.

[0168] Server: Validates data, calls the generation AI, delivers content, and stores preference data.

[0169] Generative AI: Artificial intelligence models for generating original content (e.g., AdGenerationAI).

[0170] Messaging services (e.g., LINE): Used to send personalized advertisements and promotional information to users.

[0171] Specific examples

[0172] For example, if a user uploads a photo of their face with the name "Taro" and the style "firefighter" and "comical," the AI ​​will generate the following advertising content:

[0173] Example prompt sentence:

[0174] "Generate a comic-style advertisement featuring 'Taro' who is a 'firefighter'. The style should be 'comical'. Here is the user's face photo: [Base64 encoded photo data]"

[0175] The manga and advertising content generated in this way comically depicts Taro's daily life as a firefighter and is displayed on the user's smartphone.

[0176] This system allows users to view individually customized advertising content in real time, maximizing advertising effectiveness.

[0177] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0178] Step 1:

[0179] Collecting user input data

[0180] A user inputs their occupation, name, style, and face photo using a device such as a smartphone. The device then sends the input data to the server as structured form data. The input data includes occupation, name, style, and face photo.

[0181] Step 2:

[0182] Data Validation

[0183] The server validates the received form data. The validation process checks whether the occupation and name are entered correctly, whether the style is selected appropriately, and whether the face photo is in the correct image format. Once validation is complete, only correctly entered data will proceed to the next step.

[0184] Step 3:

[0185] Calling the generated AI

[0186] The server calls the generative AI model based on the data that has passed validation. The generative AI uses the user input data to generate original content (for example, comical manga or advertising content). The generative AI is accessed using a pre-set API key and specific prompts are provided as input. The generative AI outputs original content based on the prompts.

[0187] Step 4:

[0188] Submitting generated content

[0189] The server sends the original content obtained from the generation AI to the user's device. The sent content is displayed on the user's device, allowing the user to enjoy original content generated based on their own data in real time.

[0190] Step 5:

[0191] Saving preference data

[0192] The server stores user preference data based on the user's input data and the generated original content. The preference data includes the user's occupation, name, style, and content of the generated content, and is used to deliver targeted advertisements in the future.

[0193] Step 6:

[0194] Generating personalized advertising content

[0195] The server generates personalized advertising content for the user based on the stored preference data. The generation AI is again used to create advertising content based on the stored data and provided with specific prompts as input. The generation AI outputs personalized advertising content based on the prompts.

[0196] Step 7:

[0197] Displaying personalized advertising content

[0198] The server sends the personalized advertising content obtained from the generation AI to the user's device. The user can then check the advertising content generated based on their preferences on their device, thereby improving the effectiveness of advertising.

[0199] Through this series of steps, users can receive original content and advertisements that are individually customized in real time.

[0200] 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.

[0201] The present invention is a system that includes user input data, generation AI, display means, preference data storage means, and an emotion engine, and uses this system to generate original content and improve advertising effectiveness.

[0202] User Input

[0203] Users enter information such as their occupation, name, style, and photo via the mini-app from their device. This input data is structured as form data and sent to the server.

[0204] Data Receipt and Validation

[0205] The server receives the form data from the user and validates it by checking whether the occupation, name, style, and face photo are entered correctly and whether there are any missing or incorrect information.

[0206] Applying the Emotion Engine

[0207] The server recognizes the user's emotions using an emotion engine based on the received facial photo data. The emotion engine analyzes the user's emotional state (e.g., joy, surprise, sadness, etc.) based on the features extracted from the facial photo.

[0208] Calling the generated AI

[0209] The server calls the generation AI based on the validation and analysis results of the emotion engine. The generation AI automatically generates original content (manga) based on the acquired data (occupation, name, style, face photo, and emotional state).

[0210] Content Adjustment

[0211] The generative AI adjusts the content according to the user's emotional state, as recognized by the emotion engine. For example, if the user expresses joy, it generates manga with a positive storyline and emphasized colors.

[0212] View content

[0213] The generated original content is sent from the server to the device. The device then displays the content in manga format on the screen based on the received data. This allows users to enjoy their own original manga.

[0214] Saving and utilizing preference data

[0215] The server stores user input data, information about the generated original content, and the analysis results of the emotion engine as preference data. This preference data will be used later to deliver targeted advertisements. Specifically, event information and special offer information based on the user's occupation, interests, and emotional state will be sent via messaging services such as LINE.

[0216] Specific examples

[0217] For example, if a user uploads a photo of a child who wants to become a firefighter, with the child's name "Taro," style "comical," and face photo, the server receives this input data and uses an emotion engine to recognize the emotion of "excitement." The server then uses generative AI to generate a manga that depicts the story of how "Taro" becomes a firefighter. The generated manga is displayed on the user's device as a comical manga. During this process, the server saves the name "Taro," the occupation "firefighter," and the emotion data of "excitement" for use in future marketing activities.

[0218] As a result, the system of the present invention not only generates original content for children, but can also be effectively utilized in subsequent marketing activities. Furthermore, by combining it with an emotion engine, it becomes possible to provide more personalized content and deliver advertisements that match the user's emotional state. Users can receive information based on their interests and emotions while enjoying individually customized content.

[0219] The processing flow will be explained below.

[0220] Step 1:

[0221] The user opens the mini-app on LINE and enters the necessary information such as occupation, name, style, face photo, etc. In this step, the user provides the data through the interface.

[0222] Step 2:

[0223] The device collects the input data and structures it as form data. This form data is formatted to include each input item (occupation, name, style, and photo) in preparation for sending it to the server.

[0224] Step 3:

[0225] The terminal sends the form data to the server, where a security protocol is applied to protect the user data.

[0226] Step 4:

[0227] The server analyzes the form data it receives and validates its contents by checking whether the occupation, name, style, and face photo are entered correctly and whether there are any missing or incorrect information.

[0228] Step 5:

[0229] The server uses the validated data to recognize the user's emotions using an emotion engine, which analyzes the facial photos uploaded by the user to identify emotions such as joy, surprise, and sadness.

[0230] Step 6:

[0231] The server adds the emotion data recognized by the emotion engine and then calls the generation AI, which automatically generates original content (manga) based on the user's occupation, name, style, face photo, and emotion data.

[0232] Step 7:

[0233] The AI ​​generates manga according to a specified algorithm. In this process, a comical manga depicting, for example, "Taro's journey to becoming a firefighter" is created.

[0234] Step 8:

[0235] The server sends the generated original content to the terminal, allowing the user to view the generated manga.

[0236] Step 9:

[0237] The device then displays the received original content on the screen. Users can view and enjoy the original manga based on their input data. Positive content and colors may be used to reflect the user's emotions.

[0238] Step 10:

[0239] The server stores user preference data, data on the generated original content, and the analysis results of the emotion engine, thereby accumulating detailed data on the user's interests and emotions.

[0240] Step 11:

[0241] The server uses the stored preference and emotion data to prepare promotional messages based on specific conditions. For example, if a user has a positive emotional response, it will select event information or special offer information that is appropriate for that emotional state.

[0242] Step 12:

[0243] The server sends promotional messages to users at appropriate times through messaging services such as LINE, allowing promotions based on the user's interests and emotions.

[0244] Example 2

[0245] 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."

[0246] Conventional original content generation systems generate content based on user input data without taking the user's emotional state into account, resulting in low personalization and difficulty in improving user satisfaction. Furthermore, marketing methods for effectively utilizing the generated content are limited, making it difficult to implement targeted advertising based on user preferences.

[0247] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for receiving user input data and generating original content based on the user's occupation, name, style, and facial photo; means for calling the generation artificial intelligence; means for displaying the generated original content; means for saving the user's preference data and transmitting promotional information based on specific conditions; means for analyzing the user's emotional state from the user's input data using an emotion analysis engine; and means for adjusting the content of the original content according to the analyzed emotional state. This enables advanced personalization that takes the user's emotional state into consideration, significantly improving user satisfaction. Furthermore, it also enables the delivery of targeted advertisements utilizing preference data, thereby enhancing marketing effectiveness.

[0248] "User input data" refers to information about occupation, name, style, and face photo that a user provides to the system through a terminal.

[0249] The "first means" refers to a means for receiving input data from a user and generating original content based on the user's occupation, name, style, and face photo.

[0250] "Generative AI" refers to AI technology used to automatically generate original content using user input data.

[0251] The "second means" refers to a means for invoking a generating artificial intelligence to generate the original content.

[0252] The "third means" refers to a means for transmitting the generated original content to the user's terminal and displaying it.

[0253] The "fourth means" refers to a means for storing user preference data and transmitting promotional information based on specific conditions.

[0254] An "emotion analysis engine" refers to a technology that extracts features from a user's facial photo data and analyzes the user's emotional state based on those features.

[0255] "Emotional state" refers to the emotional state, such as joy, surprise, or sadness, analyzed from the user's facial photo data.

[0256] "Original content" refers to content such as stories and illustrations exclusive to the user that are generated based on the user's input data and emotional state.

[0257] "Preference Data" refers to data regarding a user's preferences and interests, including analysis of user input data, generated content, and emotional state.

[0258] The present invention is a system that includes user input data, generation AI, display means, preference data storage means, and an emotion analysis engine, and uses this system to generate original content and improve advertising effectiveness.

[0259] Users input information such as their occupation, name, style, and photo via a mini-app from their device. This information is structured as form data on the device and sent to the server. The server can use programming languages ​​such as JavaScript or Python to validate the received user input data and check for omissions or errors.

[0260] Next, the server applies an emotion analysis engine based on the facial photo data. This engine can use, for example, Microsoft Azure's Face API or Google Cloud's Vision API. The emotion analysis engine extracts features from the facial photo data and analyzes the user's emotional state (e.g., joy, surprise, sadness, etc.).

[0261] Once the analysis is complete, the server invokes a generative artificial intelligence (generative AI), which can be implemented using OpenAI's GPT-3 or Google's Transformer model, to automatically generate original content (e.g., manga) based on the user's occupation, name, style, face photo, and emotional state.

[0262] The generated original content is sent from the server to the device, which then displays it in manga format on the screen. Users can enjoy the manga through a mini-app. The server also stores the user's input data, information about the generated original content, and the results of emotion analysis as preference data, which can be used to deliver targeted advertisements at a later date.

[0263] To give a specific example, if a user uploads a photo of a child who wants to become a firefighter, with the child's name "Taro" and style set to "comical," the server receives this input data and uses an emotion analysis engine to recognize the emotion of "excitement." The server then uses a generative AI to generate a manga that tells the story of how "Taro" becomes a firefighter. The generated manga is displayed on the user's device as a comical manga.

[0264] An example of a prompt sentence to input to the generative AI model is as follows:

[0265] Input data: Name = Taro, Occupation = Firefighter, Style = Comical, Emotion = Excitement

[0266] Generative AI: Based on this data, generate a comical manga that tells the story of how Taro became a firefighter.

[0267] This allows the system of the present invention to achieve advanced personalization that takes into account the user's emotional state, significantly improving user satisfaction. It also enables targeted advertising using preference data, enhancing marketing effectiveness.

[0268] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0269] Step 1:

[0270] User Input

[0271] Users input information such as occupation, name, style, and face photo from their own device via a mini-app. This information is structured as form data on the device and sent to the server. Specifically, the user enters the necessary data into the input form and presses the send button, which sends the data to the server. At this stage, the inputs are occupation, name, style, and face photo.

[0272] Input: Occupation, name, style, photo

[0273] Output: Structured form data

[0274] Step 2:

[0275] Data Receipt and Validation

[0276] The server receives the form data sent by the user. It validates the received data and checks for missing or incorrect information. For example, if the name is blank or the face photo has not been uploaded correctly, it generates an error message and returns it to the terminal. Specifically, the server checks the integrity of the data using a Python validation library or similar.

[0277] Input: Structured form data

[0278] Output: Validation result (success or error message)

[0279] Step 3:

[0280] Applying the Emotion Engine

[0281] The server applies an emotion analysis engine based on the received facial photo data. This engine extracts features from the facial photo and recognizes the user's emotional state. For example, it uses Microsoft Azure's Face API to analyze emotional states such as joy, surprise, and sadness. Specifically, the emotion analysis engine receives facial photo data as input and outputs the emotional state result.

[0282] Input: Facial photo data

[0283] Output: Emotional state (e.g., happy, surprised, sad)

[0284] Step 4:

[0285] Calling the generated AI

[0286] The server calls the generation AI based on the validation and emotion engine analysis results. The generation AI generates original content based on the prompt text. Specifically, it generates the prompt text and passes it to a model such as OpenAI's GPT-3 to generate content.

[0287] Input: Occupation, name, style, emotional state

[0288] Output: Prompts for the generation AI, generated original content

[0289] Step 5:

[0290] Content Adjustment

[0291] The generative AI adjusts the content according to the user's emotional state, as recognized by the emotion analysis engine. For example, if the user expresses joy, the story and character expressions will include more positive elements. Specifically, the generative AI model optimizes the output content based on the user's emotional state.

[0292] Input: Emotional state, generated original content

[0293] Output: Adjusted original content

[0294] Step 6:

[0295] View content

[0296] The generated original content is sent from the server to the device, which then displays it in manga format on the screen. Specifically, the server sends the adjusted original content to the device, and the application on the device displays it.

[0297] Input: Adapted original content

[0298] Output: Manga content displayed on the device

[0299] Step 7:

[0300] Saving and utilizing preference data

[0301] The server stores the user's input data, information about the generated original content, and the results of sentiment analysis as preference data. This preference data is later used to deliver targeted advertisements. Specifically, the server stores the preference data in a database and provides the data to the advertisement delivery engine.

[0302] Input: Occupation, name, style, emotional state, original content

[0303] Output: Stored preference data, targeted ads delivered

[0304] (Application example 2)

[0305] 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."

[0306] Conventional content generation systems are specialized in generating content based on user input data, making it difficult to generate content that reflects the user's emotional state and preferences, or to apply that data to marketing activities. Furthermore, the generated content is not adjusted according to the user's emotions, limiting the provision of personalized content.

[0307] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: first means for receiving user input data and generating original content based on the user's occupation, name, style, and facial photo; an emotion engine for analyzing the user's emotional state; second means for calling a generation artificial intelligence to generate the original content; third means for displaying the generated original content; and fourth means for saving the user's preference data and transmitting promotional information based on specific conditions. This enables the generation of personalized content according to the user's emotional state and preferences and the effective delivery of targeted advertisements based on the content.

[0308] "User input data" refers to information such as occupation, name, style, and face photo that the user inputs through the terminal.

[0309] "Occupation" refers to the type of job or role a user holds.

[0310] "Name" refers to a personal name used to identify a user.

[0311] "Style" refers to the style and atmosphere of the content desired by the user.

[0312] A "face photo" refers to an image of the user's face.

[0313] "Original content" refers to unique content generated based on user input data.

[0314] "Emotion engine" refers to technology for analyzing a user's emotional state from a facial photograph.

[0315] "Generative AI" refers to AI technology that generates content based on user input data and emotional state.

[0316] "Preference data" refers to data such as a user's preferences, interests, and emotional state.

[0317] "Promotional information" refers to information intended to promote the sale of products or services.

[0318] "Specific conditions" refer to criteria set based on the user's preference data and behavioral history.

[0319] "Terminal" refers to a device used by a user, such as a smartphone or computer.

[0320] "Form data" refers to a data format for structuring information entered by a user and sending it to a server.

[0321] "Validation" refers to the process of checking the accuracy and completeness of data entered by a user.

[0322] "Server" refers to a computer system for receiving and processing user input data.

[0323] The present invention is a system that analyzes the emotional state of a user based on input data and generates original content accordingly. This system is realized using the following main hardware and software.

[0324] First, the user enters information such as occupation, name, style, and face photo via a device such as a smartphone or PC. This input data is sent to the server as structured form data. The server is built using the Flask framework, and upon receiving the user's input data, it validates its contents. If validation is successful, the server then uses an emotion engine to analyze the user's emotions based on the received face photo data. This emotion engine extracts features from the face photo and identifies the user's emotional state (happiness, surprise, sadness, etc.).

[0325] Based on the analysis results of the emotion engine, the server calls a generative AI model to generate original content (for example, manga). The generative AI model automatically generates content based on the user's occupation, name, style, and emotional state, and adjusts the content according to the user's emotions. For example, if the user expresses joy, it generates a manga that emphasizes a positive storyline and colors. The generated manga is sent as data from the server to the user's device and displayed on the device screen.

[0326] Furthermore, the server stores the user's input data, information about the generated original content, and the analysis results of the emotion engine as preference data. This preference data will be used later to deliver targeted advertising. Specifically, promotional and event information based on the user's occupation, interests, and emotional state will be sent to the user, for example, via a messaging service.

[0327] Specific examples

[0328] For example, if a user enters information that includes "student," "Suzuki Taro," "anime-style," and "surprise," the server receives this data and recognizes the emotion of "surprise" using its emotion engine. It then uses generative AI to generate an anime-style manga depicting Suzuki Taro's school life. The generated manga has a story based on the theme of surprise and is displayed on the user's smartphone. During this process, the server saves the data "Suzuki Taro," "student," "anime-style," and "surprise" for use in future marketing activities.

[0329] In this way, the present invention realizes the generation of personalized content according to input data and emotional state, and the effective delivery of targeted advertisements based on the content.

[0330] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0331] Step 1:

[0332] The user uses a terminal to input information such as occupation, name, style, and face photo. In this process, the data provided by the user is structured in a form. The input data (occupation, name, style, and face photo) is processed on the terminal and sent to the server.

[0333] Step 2:

[0334] The server receives input data submitted by the user. This data includes occupation, name, style, and photo, and the server validates this data. Validation checks whether the data is complete and accurate. It verifies that the input data (occupation, name, style, photo) is accurate and complete.

[0335] Step 3:

[0336] The server uses an emotion engine to analyze the facial photo data. The facial photo data is input to the emotion engine, which extracts features from the facial photo and recognizes the user's emotional state. For example, the emotion engine determines whether the user is expressing emotions such as happiness, surprise, or sadness. The emotional state (happiness, surprise, sadness, etc.) is output.

[0337] Step 4:

[0338] After validation is successful and emotion analysis by the emotion engine is complete, the server calls the generative AI model. The generative AI model receives data such as occupation, name, style, and emotional state as input, and generates original content (e.g., manga) based on this. The generative AI model generates content based on the input data, adjusting it according to the user's emotional state. The generated content (manga) is then output.

[0339] Step 5:

[0340] The generated original content is sent from the server to the user's device. The device displays the original content on the screen based on the received data. The content data is input into the user's device and displayed on the screen, allowing the user to enjoy the original manga.

[0341] Step 6:

[0342] The server stores the user's input data, the generated original content, and the analysis results of the emotion engine as preference data. This preference data will be used later to deliver targeted advertisements. The user's data (occupation, name, style, emotional state, and information on the generated content) is stored. The preference data will be used to deliver advertisements, and promotional information will be sent to the user based on specific conditions.

[0343] 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.

[0344] 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.

[0345] 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.

[0346] [Second embodiment]

[0347] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0348] 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.

[0349] 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).

[0350] 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.

[0351] 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.

[0352] 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).

[0353] 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.

[0354] 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.

[0355] 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.

[0356] 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.

[0357] In the smart glasses 214, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0358] 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."

[0359] The present invention is a system that includes user input data, generation AI, display means, preference data storage means, etc., and uses this system to generate original content and enhance advertising effectiveness.

[0360] User Input

[0361] Users enter information such as their occupation, name, style, and photo via the mini-app from their device. This input data is structured as form data and sent to the server.

[0362] Data Receipt and Validation

[0363] The server receives the form data from the user and validates it by checking whether the occupation, name, style, and face photo are entered correctly.

[0364] Calling the generated AI

[0365] Based on the data that passes validation, the server calls the generation AI, which generates original content based on the user's input data. Specifically, it creates manga stories and images according to a set algorithm based on the user's occupation, name, style, and face photo.

[0366] View content

[0367] The generated original content is sent from the server to the device. The device then displays the content in manga format on the screen based on the received data. This allows users to enjoy their own original manga.

[0368] Saving and utilizing preference data

[0369] The server stores the user's input data and information about the generated original content as preference data. This preference data is later used to deliver targeted advertisements. Specifically, event information and special offers based on the user's occupation and interests are sent via messaging services such as LINE.

[0370] Specific examples

[0371] For example, if a user uploads the name "Taro," the style "comical," and a photo of a child who wants to be a firefighter, the server receives this input data and uses generative AI to generate a manga that tells the story of how "Taro" becomes a firefighter. The generated manga is displayed on the user's device as a comical manga. During this process, the server saves data related to the name "Taro" and the occupation "firefighter" to use in future marketing activities.

[0372] As a result, the system of the present invention not only generates original content for children, but can also be effectively utilized in subsequent marketing activities. Users can receive information based on their interests while enjoying individually customized content.

[0373] The processing flow will be explained below.

[0374] Step 1:

[0375] The user opens the mini-app on LINE and enters the necessary information such as occupation, name, style, face photo, etc. In this step, the user provides the data through the interface.

[0376] Step 2:

[0377] The device collects the input data and structures it as form data. This form data is formatted to include each input item (occupation, name, style, and photo) in preparation for sending it to the server.

[0378] Step 3:

[0379] The terminal sends the form data to the server, where a security protocol is applied to protect the user data.

[0380] Step 4:

[0381] The server analyzes the form data it receives and validates its contents by checking whether the occupation, name, style, and face photo are entered correctly and whether there are any missing or incorrect information.

[0382] Step 5:

[0383] The server calls a generation AI based on the data that has passed validation. The generation AI automatically generates original content (manga) based on the acquired data (occupation, name, style, and photo).

[0384] Step 6:

[0385] The AI ​​generates manga according to a specified algorithm, for example, by using the input of the user's occupation, name, style, and face photo to create a storyline and graphics.

[0386] Step 7:

[0387] The server sends the generated original content to the terminal, allowing the user to view the generated manga.

[0388] Step 8:

[0389] The terminal displays the received original content on the screen, allowing users to view and enjoy the original manga created based on their own input data.

[0390] Step 9:

[0391] The server stores user preference data, accumulating data on the user's interests based on the information entered by the user and the content of the generated manga.

[0392] Step 10:

[0393] The server uses the stored preference data to prepare promotional messages based on specific criteria, such as events and special offers that may be of interest to the user.

[0394] Step 11:

[0395] The server sends promotional messages to users at appropriate times through messaging services such as LINE, allowing promotions based on the user's interests.

[0396] Example 1

[0397] 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."

[0398] Conventional original content generation systems have the problem that the process of efficiently managing user input data and generating individually customized content is cumbersome and time-consuming. Furthermore, they lack the functionality to accumulate user preference information based on the generated content and effectively use it in marketing activities. As a result, they have not been able to fully improve the user experience or maximize advertising effectiveness.

[0399] 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.

[0400] In this invention, the server includes a data acquisition means for receiving user input data and generating original content based on the user's occupation, name, style, and facial photograph; a means for calling a generating AI model to generate the original content; a display means for displaying the generated original content; and a data storage means for saving the user's preference data and transmitting promotional information based on specific conditions. This allows for efficient management of user input data and rapid generation of original content. Furthermore, the accumulation of preference data based on the generated content and the smooth delivery of targeted advertisements based on the data can be achieved.

[0401] "User" means any person or entity that utilizes the System to provide input data and receive Original Content.

[0402] "Input data" refers to information such as occupation, name, style, and photograph that a user provides to the system via a terminal.

[0403] "Original content" refers to customized content such as manga stories and images generated based on user input data using a generative AI model.

[0404] "Data acquisition means" refers to the function of receiving user input data, structuring it, and sending it to the system.

[0405] "Generative artificial intelligence model" refers to the algorithms and techniques, specifically AI models, used to generate original content based on user input data.

[0406] "Display means" refers to a function for displaying the generated original content on the user's terminal.

[0407] "Data storage means" refers to a function that stores information about user input data and generated original content, and accumulates it as preference data based on that information.

[0408] "Preference data" refers to information about a user's hobbies and preferences, extracted from input data and generated content, and used for marketing activities.

[0409] "Targeted advertising" refers to advertisements such as event information and special offer information tailored to a user's interests and concerns based on preference data.

[0410] "Terminal" refers to an electronic device that allows a user to access the system to provide input data or view generated content.

[0411] The present invention is a system that generates original content based on user input data, displays it, and stores it as preference data for use in marketing activities. This system mainly includes a server, a user terminal, and a generation AI model. The detailed implementation method is described below.

[0412] First, the user launches the mini-app on their device and enters the necessary information. Specifically, they fill in an input form with data such as their occupation, name, style, and photo. The device then structures this input data and sends it to the server.

[0413] Next, the server receives the input data from the terminal and performs validation. Validation is the process of checking whether each item is entered correctly and completely. For example, it checks whether the name is blank or whether the face photo has been properly uploaded. If there is an error in the data, the server returns an error message to the terminal and prompts the user to re-enter the data.

[0414] If the validation is successful, the server calls the generative AI model based on the data. Specifically, it generates a prompt sentence containing the user's information and inputs it into the generative AI model. For example, the prompt sentence might look like this:

[0415] Occupation: Firefighter

[0416] Name: Taro

[0417] Style: Comical

[0418] Photo of face: <Image data>

[0419] Using this information, please create a comical manga story in which Taro becomes a firefighter and does great things.

[0420] Based on this prompt, a generative AI model (e.g., OpenAI's GPT-4 or Google's BERT) generates an original manga story and image and returns it to the server.

[0421] The server receives the generated original content, structures it, and sends it to the terminal. The terminal receives this data and displays it in manga format on the screen, allowing users to easily enjoy their own original manga.

[0422] Furthermore, the system stores information about the user's input data and the generated original content as preference data. The preference data includes information based on the user's hobbies and interests. Based on this data, the server can later send promotional and event information to the user via messaging services such as LINE based on specific conditions. This makes it possible to deliver targeted advertisements effectively.

[0423] As described above, the present invention uses a server, terminal, and generative AI model to realize a series of processes for generating original content based on user input data and then displaying and saving it, thereby enabling effective information distribution in marketing activities.

[0424] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0425] Step 1:

[0426] The user launches the mini-app from the device and provides input data.

[0427] Input: Occupation, name, style, photo

[0428] Specific operation: The user opens the mini-app on their device and enters information such as occupation, name, style, and face photo into the form on the screen. The input data is sent by clicking the "Submit" button.

[0429] Output: Structured input data is sent from the device to the server.

[0430] Step 2:

[0431] The server receives the input data and performs validation.

[0432] Input: Structured input data

[0433] Specific operation: The server receives the data sent from the device and validates whether the occupation, name, style, and face photo are entered correctly. For example, it checks whether the name is blank and whether the photo is uploaded properly.

[0434] Output: A validation success message is generated. If there is a problem with the data, an error message is generated.

[0435] Step 3:

[0436] If validation is successful, the server invokes the generative AI model.

[0437] Input: Successfully validated input data

[0438] Specific operation: The server generates a prompt using the validated data. The prompt is then input into a generative AI model to generate original content. For example, the following prompt is constructed:

[0439] Occupation: Firefighter

[0440] Name: Taro

[0441] Style: Comical

[0442] Photo of face: <Image data>

[0443] Using this information, please create a comical manga story in which Taro becomes a firefighter and does great things.

[0444] Output: The original manga story and image data returned by the generative AI model.

[0445] Step 4:

[0446] The generated original content is structured and sent from the server to the terminal.

[0447] Input: Original content from a generative AI model

[0448] Specific operation: The server receives the generated manga story and images and structures them into a format that can be displayed on the device.

[0449] Output: The structured original content is sent from the server to the terminal.

[0450] Step 5:

[0451] The terminal receives the original content and displays it to the user.

[0452] Input: Original content sent from the server

[0453] Specific operation: The device processes the data received from the server and displays it in manga format on the screen. Users can enjoy their own original manga.

[0454] Output: The original manga displayed to the user.

[0455] Step 6:

[0456] The server stores the user's input data and the generated original content as preference data.

[0457] Input: User-entered data and original content generated.

[0458] Specific operation: The server stores this data in a database and accumulates it as preference data.

[0459] Output: Saved preference data.

[0460] Step 7:

[0461] The server carries out marketing activities based on the preference data.

[0462] Input: Saved preference data

[0463] How it works: The server analyzes the preference data and creates targeted advertisements and promotional information based on specific conditions. This information is then sent to the user via messaging services such as LINE.

[0464] Output: Targeted advertising and promotional information sent to the user.

[0465] (Application example 1)

[0466] 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."

[0467] Conventional advertising systems have had the challenge of making it difficult to generate personalized ads based on a user's individual preferences and interests. In particular, technology for generating ads using detailed data such as a user's occupation, name, style, and face photo is still immature, making it difficult to provide effectively targeted ads.

[0468] 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.

[0469] In this invention, the server includes a first means for receiving user input data and generating original content based on the user's occupation, name, style, and facial photograph, a second means for calling a generating artificial intelligence to generate the original content, a third means for displaying the generated original content, a fourth means for saving the user's preference data and transmitting sales promotion information based on specific conditions, a fifth means for generating advertising content personalized for the user, and a sixth means for displaying the personalized advertising content on the user's terminal. This makes it possible to generate and display individually customized advertisements using detailed user data.

[0470] "User-input data" refers to information such as occupation, name, style, and face photo that a user inputs through a terminal.

[0471] "Original Content" refers to unique creations and advertisements generated based on user-entered data.

[0472] "Generative AI" refers to an artificial intelligence system that generates original content based on user-input data.

[0473] "Display means" refers to a device or software that allows a user to view the generated original content.

[0474] "Preference Data" refers to information about a user's preferences and interests that is collected based on data entered by the user and / or original content generated by the user.

[0475] "Promotional Information" means promotional or advertising information relating to products or services.

[0476] "Personalized advertising content" refers to advertising content tailored to an individual user based on the user's preference data.

[0477] System Configuration

[0478] To implement this invention, a system combining the following elements is required.

[0479] 1. Collecting User-Input Data

[0480] Users use devices such as smartphones to input their occupation, name, style, and face photo. This data is sent to the server as "user-input data." This data is sent as structured form data.

[0481] 2. Data Validation

[0482] The server validates the received form data. The validation process checks whether each item (occupation, name, style, photo) is entered correctly. For example, it checks whether the photo is in the correct image format.

[0483] 3. Calling the generation AI

[0484] Based on the data that passes validation, a generation AI is called to generate original content customized for the user. The generated content could be, for example, a comical manga or advertising content. The generation AI is accessed using a default API key.

[0485] 4. Display of Content

[0486] The generated original content is sent from the server to the user's device and displayed on the device, allowing the user to enjoy their own personalized content in real time.

[0487] 5. Saving and using preference data

[0488] The server stores user preference data based on the generated content and input data. The stored preference data is used to deliver personalized advertisements and promotional information to users based on specific conditions. For example, notifications are sent via messaging services such as LINE.

[0489] Hardware and software used:

[0490] Smartphones and tablets: Devices through which users provide input data and display generated content.

[0491] Server: Validates data, calls the generation AI, delivers content, and stores preference data.

[0492] Generative AI: Artificial intelligence models for generating original content (e.g., AdGenerationAI).

[0493] Messaging services (e.g., LINE): Used to send personalized advertisements and promotional information to users.

[0494] Specific examples

[0495] For example, if a user uploads a photo of their face with the name "Taro" and the style "firefighter" and "comical," the AI ​​will generate the following advertising content:

[0496] Example prompt sentence:

[0497] "Generate a comic-style advertisement featuring 'Taro' who is a 'firefighter'. The style should be 'comical'. Here is the user's face photo: [Base64 encoded photo data]"

[0498] The manga and advertising content generated in this way comically depicts Taro's daily life as a firefighter and is displayed on the user's smartphone.

[0499] This system allows users to view individually customized advertising content in real time, maximizing advertising effectiveness.

[0500] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0501] Step 1:

[0502] Collecting user input data

[0503] A user inputs their occupation, name, style, and face photo using a device such as a smartphone. The device then sends the input data to the server as structured form data. The input data includes occupation, name, style, and face photo.

[0504] Step 2:

[0505] Data Validation

[0506] The server validates the received form data. The validation process checks whether the occupation and name are entered correctly, whether the style is selected appropriately, and whether the face photo is in the correct image format. Once validation is complete, only correctly entered data will proceed to the next step.

[0507] Step 3:

[0508] Calling the generated AI

[0509] The server calls the generative AI model based on the data that has passed validation. The generative AI uses the user input data to generate original content (for example, comical manga or advertising content). The generative AI is accessed using a pre-set API key and specific prompts are provided as input. The generative AI outputs original content based on the prompts.

[0510] Step 4:

[0511] Submitting generated content

[0512] The server sends the original content obtained from the generation AI to the user's device. The sent content is displayed on the user's device, allowing the user to enjoy original content generated based on their own data in real time.

[0513] Step 5:

[0514] Saving preference data

[0515] The server stores user preference data based on the user's input data and the generated original content. The preference data includes the user's occupation, name, style, and content of the generated content, and is used to deliver targeted advertisements in the future.

[0516] Step 6:

[0517] Generating personalized advertising content

[0518] The server generates personalized advertising content for the user based on the stored preference data. The generation AI is again used to create advertising content based on the stored data and provided with specific prompts as input. The generation AI outputs personalized advertising content based on the prompts.

[0519] Step 7:

[0520] Displaying personalized advertising content

[0521] The server sends the personalized advertising content obtained from the generation AI to the user's device. The user can then check the advertising content generated based on their preferences on their device, thereby improving the effectiveness of advertising.

[0522] Through this series of steps, users can receive original content and advertisements that are individually customized in real time.

[0523] 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.

[0524] The present invention is a system that includes user input data, generation AI, display means, preference data storage means, and an emotion engine, and uses this system to generate original content and improve advertising effectiveness.

[0525] User Input

[0526] Users enter information such as their occupation, name, style, and photo via the mini-app from their device. This input data is structured as form data and sent to the server.

[0527] Data Receipt and Validation

[0528] The server receives the form data from the user and validates it by checking whether the occupation, name, style, and face photo are entered correctly and whether there are any missing or incorrect information.

[0529] Applying the Emotion Engine

[0530] The server recognizes the user's emotions using an emotion engine based on the received facial photo data. The emotion engine analyzes the user's emotional state (e.g., joy, surprise, sadness, etc.) based on the features extracted from the facial photo.

[0531] Calling the generated AI

[0532] The server calls the generation AI based on the validation and analysis results of the emotion engine. The generation AI automatically generates original content (manga) based on the acquired data (occupation, name, style, face photo, and emotional state).

[0533] Content Adjustment

[0534] The generative AI adjusts the content according to the user's emotional state, as recognized by the emotion engine. For example, if the user expresses joy, it generates manga with a positive storyline and emphasized colors.

[0535] View content

[0536] The generated original content is sent from the server to the device. The device then displays the content in manga format on the screen based on the received data. This allows users to enjoy their own original manga.

[0537] Saving and utilizing preference data

[0538] The server stores user input data, information about the generated original content, and the analysis results of the emotion engine as preference data. This preference data will be used later to deliver targeted advertisements. Specifically, event information and special offer information based on the user's occupation, interests, and emotional state will be sent via messaging services such as LINE.

[0539] Specific examples

[0540] For example, if a user uploads a photo of a child who wants to become a firefighter, with the child's name "Taro," style "comical," and face photo, the server receives this input data and uses an emotion engine to recognize the emotion of "excitement." The server then uses generative AI to generate a manga that depicts the story of how "Taro" becomes a firefighter. The generated manga is displayed on the user's device as a comical manga. During this process, the server saves the name "Taro," the occupation "firefighter," and the emotion data of "excitement" for use in future marketing activities.

[0541] As a result, the system of the present invention not only generates original content for children, but can also be effectively utilized in subsequent marketing activities. Furthermore, by combining it with an emotion engine, it becomes possible to provide more personalized content and deliver advertisements that match the user's emotional state. Users can receive information based on their interests and emotions while enjoying individually customized content.

[0542] The processing flow will be explained below.

[0543] Step 1:

[0544] The user opens the mini-app on LINE and enters the necessary information such as occupation, name, style, face photo, etc. In this step, the user provides the data through the interface.

[0545] Step 2:

[0546] The device collects the input data and structures it as form data. This form data is formatted to include each input item (occupation, name, style, and photo) in preparation for sending it to the server.

[0547] Step 3:

[0548] The terminal sends the form data to the server, where a security protocol is applied to protect the user data.

[0549] Step 4:

[0550] The server analyzes the form data it receives and validates its contents by checking whether the occupation, name, style, and face photo are entered correctly and whether there are any missing or incorrect information.

[0551] Step 5:

[0552] The server uses the validated data to recognize the user's emotions using an emotion engine, which analyzes the facial photos uploaded by the user to identify emotions such as joy, surprise, and sadness.

[0553] Step 6:

[0554] The server adds the emotion data recognized by the emotion engine and then calls the generation AI, which automatically generates original content (manga) based on the user's occupation, name, style, face photo, and emotion data.

[0555] Step 7:

[0556] The AI ​​generates manga according to a specified algorithm. In this process, a comical manga depicting, for example, "Taro's journey to becoming a firefighter" is created.

[0557] Step 8:

[0558] The server sends the generated original content to the terminal, allowing the user to view the generated manga.

[0559] Step 9:

[0560] The device then displays the received original content on the screen. Users can view and enjoy the original manga based on their input data. Positive content and colors may be used to reflect the user's emotions.

[0561] Step 10:

[0562] The server stores user preference data, data on the generated original content, and the analysis results of the emotion engine, thereby accumulating detailed data on the user's interests and emotions.

[0563] Step 11:

[0564] The server uses the stored preference and emotion data to prepare promotional messages based on specific conditions. For example, if a user has a positive emotional response, it will select event information or special offer information that is appropriate for that emotional state.

[0565] Step 12:

[0566] The server sends promotional messages to users at appropriate times through messaging services such as LINE, allowing promotions based on the user's interests and emotions.

[0567] Example 2

[0568] 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."

[0569] Conventional original content generation systems generate content based on user input data without taking the user's emotional state into account, resulting in low personalization and difficulty in improving user satisfaction. Furthermore, marketing methods for effectively utilizing the generated content are limited, making it difficult to implement targeted advertising based on user preferences.

[0570] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for receiving user input data and generating original content based on the user's occupation, name, style, and facial photo; means for calling the generation artificial intelligence; means for displaying the generated original content; means for saving the user's preference data and transmitting promotional information based on specific conditions; means for analyzing the user's emotional state from the user's input data using an emotion analysis engine; and means for adjusting the content of the original content according to the analyzed emotional state. This enables advanced personalization that takes the user's emotional state into consideration, significantly improving user satisfaction. Furthermore, it also enables the delivery of targeted advertisements utilizing preference data, thereby enhancing marketing effectiveness.

[0571] "User input data" refers to information about occupation, name, style, and face photo that a user provides to the system through a terminal.

[0572] The "first means" refers to a means for receiving input data from a user and generating original content based on the user's occupation, name, style, and face photo.

[0573] "Generative AI" refers to AI technology used to automatically generate original content using user input data.

[0574] The "second means" refers to a means for invoking a generating artificial intelligence to generate the original content.

[0575] The "third means" refers to a means for transmitting the generated original content to the user's terminal and displaying it.

[0576] The "fourth means" refers to a means for storing user preference data and transmitting promotional information based on specific conditions.

[0577] An "emotion analysis engine" refers to a technology that extracts features from a user's facial photo data and analyzes the user's emotional state based on those features.

[0578] "Emotional state" refers to the emotional state, such as joy, surprise, or sadness, analyzed from the user's facial photo data.

[0579] "Original content" refers to content such as stories and illustrations exclusive to the user that are generated based on the user's input data and emotional state.

[0580] "Preference Data" refers to data regarding a user's preferences and interests, including analysis of user input data, generated content, and emotional state.

[0581] The present invention is a system that includes user input data, generation AI, display means, preference data storage means, and an emotion analysis engine, and uses this system to generate original content and improve advertising effectiveness.

[0582] Users input information such as their occupation, name, style, and photo via a mini-app from their device. This information is structured as form data on the device and sent to the server. The server can use programming languages ​​such as JavaScript or Python to validate the received user input data and check for omissions or errors.

[0583] Next, the server applies an emotion analysis engine based on the facial photo data. This engine can use, for example, Microsoft Azure's Face API or Google Cloud's Vision API. The emotion analysis engine extracts features from the facial photo data and analyzes the user's emotional state (e.g., joy, surprise, sadness, etc.).

[0584] Once the analysis is complete, the server invokes a generative artificial intelligence (generative AI), which can be implemented using OpenAI's GPT-3 or Google's Transformer model, to automatically generate original content (e.g., manga) based on the user's occupation, name, style, face photo, and emotional state.

[0585] The generated original content is sent from the server to the device, which then displays it in manga format on the screen. Users can enjoy the manga through a mini-app. The server also stores the user's input data, information about the generated original content, and the results of emotion analysis as preference data, which can be used to deliver targeted advertisements at a later date.

[0586] To give a specific example, if a user uploads a photo of a child who wants to become a firefighter, with the child's name "Taro" and style set to "comical," the server receives this input data and uses an emotion analysis engine to recognize the emotion of "excitement." The server then uses a generative AI to generate a manga that tells the story of how "Taro" becomes a firefighter. The generated manga is displayed on the user's device as a comical manga.

[0587] An example of a prompt sentence to input to the generative AI model is as follows:

[0588] Input data: Name = Taro, Occupation = Firefighter, Style = Comical, Emotion = Excitement

[0589] Generative AI: Based on this data, generate a comical manga that tells the story of how Taro became a firefighter.

[0590] This allows the system of the present invention to achieve advanced personalization that takes into account the user's emotional state, significantly improving user satisfaction. It also enables targeted advertising using preference data, enhancing marketing effectiveness.

[0591] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0592] Step 1:

[0593] User Input

[0594] Users input information such as occupation, name, style, and face photo from their own device via a mini-app. This information is structured as form data on the device and sent to the server. Specifically, the user enters the necessary data into the input form and presses the send button, which sends the data to the server. At this stage, the inputs are occupation, name, style, and face photo.

[0595] Input: Occupation, name, style, photo

[0596] Output: Structured form data

[0597] Step 2:

[0598] Data Receipt and Validation

[0599] The server receives the form data sent by the user. It validates the received data and checks for missing or incorrect information. For example, if the name is blank or the face photo has not been uploaded correctly, it generates an error message and returns it to the terminal. Specifically, the server checks the integrity of the data using a Python validation library or similar.

[0600] Input: Structured form data

[0601] Output: Validation result (success or error message)

[0602] Step 3:

[0603] Applying the Emotion Engine

[0604] The server applies an emotion analysis engine based on the received facial photo data. This engine extracts features from the facial photo and recognizes the user's emotional state. For example, it uses Microsoft Azure's Face API to analyze emotional states such as joy, surprise, and sadness. Specifically, the emotion analysis engine receives facial photo data as input and outputs the emotional state result.

[0605] Input: Facial photo data

[0606] Output: Emotional state (e.g., happy, surprised, sad)

[0607] Step 4:

[0608] Calling the generated AI

[0609] The server calls the generation AI based on the validation and emotion engine analysis results. The generation AI generates original content based on the prompt text. Specifically, it generates the prompt text and passes it to a model such as OpenAI's GPT-3 to generate content.

[0610] Input: Occupation, name, style, emotional state

[0611] Output: Prompts for the generation AI, generated original content

[0612] Step 5:

[0613] Content Adjustment

[0614] The generative AI adjusts the content according to the user's emotional state, as recognized by the emotion analysis engine. For example, if the user expresses joy, the story and character expressions will include more positive elements. Specifically, the generative AI model optimizes the output content based on the user's emotional state.

[0615] Input: Emotional state, generated original content

[0616] Output: Adjusted original content

[0617] Step 6:

[0618] View content

[0619] The generated original content is sent from the server to the device, which then displays it in manga format on the screen. Specifically, the server sends the adjusted original content to the device, and the application on the device displays it.

[0620] Input: Adapted original content

[0621] Output: Manga content displayed on the device

[0622] Step 7:

[0623] Saving and utilizing preference data

[0624] The server stores the user's input data, information about the generated original content, and the results of sentiment analysis as preference data. This preference data is later used to deliver targeted advertisements. Specifically, the server stores the preference data in a database and provides the data to the advertisement delivery engine.

[0625] Input: Occupation, name, style, emotional state, original content

[0626] Output: Stored preference data, targeted ads delivered

[0627] (Application example 2)

[0628] 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."

[0629] Conventional content generation systems are specialized in generating content based on user input data, making it difficult to generate content that reflects the user's emotional state and preferences, or to apply that data to marketing activities. Furthermore, the generated content is not adjusted according to the user's emotions, limiting the provision of personalized content.

[0630] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: first means for receiving user input data and generating original content based on the user's occupation, name, style, and facial photo; an emotion engine for analyzing the user's emotional state; second means for calling a generation artificial intelligence to generate the original content; third means for displaying the generated original content; and fourth means for saving the user's preference data and transmitting promotional information based on specific conditions. This enables the generation of personalized content according to the user's emotional state and preferences and the effective delivery of targeted advertisements based on the content.

[0631] "User input data" refers to information such as occupation, name, style, and face photo that the user inputs through the terminal.

[0632] "Occupation" refers to the type of job or role a user holds.

[0633] "Name" refers to a personal name used to identify a user.

[0634] "Style" refers to the style and atmosphere of the content desired by the user.

[0635] A "face photo" refers to an image of the user's face.

[0636] "Original content" refers to unique content generated based on user input data.

[0637] "Emotion engine" refers to technology for analyzing a user's emotional state from a facial photograph.

[0638] "Generative AI" refers to AI technology that generates content based on user input data and emotional state.

[0639] "Preference data" refers to data such as a user's preferences, interests, and emotional state.

[0640] "Promotional information" refers to information intended to promote the sale of products or services.

[0641] "Specific conditions" refer to criteria set based on the user's preference data and behavioral history.

[0642] "Terminal" refers to a device used by a user, such as a smartphone or computer.

[0643] "Form data" refers to a data format for structuring information entered by a user and sending it to a server.

[0644] "Validation" refers to the process of checking the accuracy and completeness of data entered by a user.

[0645] "Server" refers to a computer system for receiving and processing user input data.

[0646] The present invention is a system that analyzes the emotional state of a user based on input data and generates original content accordingly. This system is realized using the following main hardware and software.

[0647] First, the user enters information such as occupation, name, style, and face photo via a device such as a smartphone or PC. This input data is sent to the server as structured form data. The server is built using the Flask framework, and upon receiving the user's input data, it validates its contents. If validation is successful, the server then uses an emotion engine to analyze the user's emotions based on the received face photo data. This emotion engine extracts features from the face photo and identifies the user's emotional state (happiness, surprise, sadness, etc.).

[0648] Based on the analysis results of the emotion engine, the server calls a generative AI model to generate original content (for example, manga). The generative AI model automatically generates content based on the user's occupation, name, style, and emotional state, and adjusts the content according to the user's emotions. For example, if the user expresses joy, it generates a manga that emphasizes a positive storyline and colors. The generated manga is sent as data from the server to the user's device and displayed on the device screen.

[0649] Furthermore, the server stores the user's input data, information about the generated original content, and the analysis results of the emotion engine as preference data. This preference data will be used later to deliver targeted advertising. Specifically, promotional and event information based on the user's occupation, interests, and emotional state will be sent to the user, for example, via a messaging service.

[0650] Specific examples

[0651] For example, if a user enters information that includes "student," "Suzuki Taro," "anime-style," and "surprise," the server receives this data and recognizes the emotion of "surprise" using its emotion engine. It then uses generative AI to generate an anime-style manga depicting Suzuki Taro's school life. The generated manga has a story based on the theme of surprise and is displayed on the user's smartphone. During this process, the server saves the data "Suzuki Taro," "student," "anime-style," and "surprise" for use in future marketing activities.

[0652] In this way, the present invention realizes the generation of personalized content according to input data and emotional state, and the effective delivery of targeted advertisements based on the content.

[0653] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0654] Step 1:

[0655] The user uses a terminal to input information such as occupation, name, style, and face photo. In this process, the data provided by the user is structured in a form. The input data (occupation, name, style, and face photo) is processed on the terminal and sent to the server.

[0656] Step 2:

[0657] The server receives input data submitted by the user. This data includes occupation, name, style, and photo, and the server validates this data. Validation checks whether the data is complete and accurate. It verifies that the input data (occupation, name, style, photo) is accurate and complete.

[0658] Step 3:

[0659] The server uses an emotion engine to analyze the facial photo data. The facial photo data is input to the emotion engine, which extracts features from the facial photo and recognizes the user's emotional state. For example, the emotion engine determines whether the user is expressing emotions such as happiness, surprise, or sadness. The emotional state (happiness, surprise, sadness, etc.) is output.

[0660] Step 4:

[0661] After validation is successful and emotion analysis by the emotion engine is complete, the server calls the generative AI model. The generative AI model receives data such as occupation, name, style, and emotional state as input, and generates original content (e.g., manga) based on this. The generative AI model generates content based on the input data, adjusting it according to the user's emotional state. The generated content (manga) is then output.

[0662] Step 5:

[0663] The generated original content is sent from the server to the user's device. The device displays the original content on the screen based on the received data. The content data is input into the user's device and displayed on the screen, allowing the user to enjoy the original manga.

[0664] Step 6:

[0665] The server stores the user's input data, the generated original content, and the analysis results of the emotion engine as preference data. This preference data will be used later to deliver targeted advertisements. The user's data (occupation, name, style, emotional state, and information on the generated content) is stored. The preference data will be used to deliver advertisements, and promotional information will be sent to the user based on specific conditions.

[0666] 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.

[0667] 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.

[0668] 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.

[0669] [Third embodiment]

[0670] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0671] 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.

[0672] 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).

[0673] 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.

[0674] 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.

[0675] 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).

[0676] 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.

[0677] 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.

[0678] 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.

[0679] 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.

[0680] 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.

[0681] 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."

[0682] The present invention is a system that includes user input data, generation AI, display means, preference data storage means, etc., and uses this system to generate original content and enhance advertising effectiveness.

[0683] User Input

[0684] Users enter information such as their occupation, name, style, and photo via the mini-app from their device. This input data is structured as form data and sent to the server.

[0685] Data Receipt and Validation

[0686] The server receives the form data from the user and validates it by checking whether the occupation, name, style, and face photo are entered correctly.

[0687] Calling the generated AI

[0688] Based on the data that passes validation, the server calls the generation AI, which generates original content based on the user's input data. Specifically, it creates manga stories and images according to a set algorithm based on the user's occupation, name, style, and face photo.

[0689] View content

[0690] The generated original content is sent from the server to the device. The device then displays the content in manga format on the screen based on the received data. This allows users to enjoy their own original manga.

[0691] Saving and utilizing preference data

[0692] The server stores the user's input data and information about the generated original content as preference data. This preference data is later used to deliver targeted advertisements. Specifically, event information and special offers based on the user's occupation and interests are sent via messaging services such as LINE.

[0693] Specific examples

[0694] For example, if a user uploads the name "Taro," the style "comical," and a photo of a child who wants to be a firefighter, the server receives this input data and uses generative AI to generate a manga that tells the story of how "Taro" becomes a firefighter. The generated manga is displayed on the user's device as a comical manga. During this process, the server saves data related to the name "Taro" and the occupation "firefighter" to use in future marketing activities.

[0695] As a result, the system of the present invention not only generates original content for children, but can also be effectively utilized in subsequent marketing activities. Users can receive information based on their interests while enjoying individually customized content.

[0696] The processing flow will be explained below.

[0697] Step 1:

[0698] The user opens the mini-app on LINE and enters the necessary information such as occupation, name, style, face photo, etc. In this step, the user provides the data through the interface.

[0699] Step 2:

[0700] The device collects the input data and structures it as form data. This form data is formatted to include each input item (occupation, name, style, and photo) in preparation for sending it to the server.

[0701] Step 3:

[0702] The terminal sends the form data to the server, where a security protocol is applied to protect the user data.

[0703] Step 4:

[0704] The server analyzes the form data it receives and validates its contents by checking whether the occupation, name, style, and face photo are entered correctly and whether there are any missing or incorrect information.

[0705] Step 5:

[0706] The server calls a generation AI based on the data that has passed validation. The generation AI automatically generates original content (manga) based on the acquired data (occupation, name, style, and photo).

[0707] Step 6:

[0708] The AI ​​generates manga according to a specified algorithm, for example, by using the input of the user's occupation, name, style, and face photo to create a storyline and graphics.

[0709] Step 7:

[0710] The server sends the generated original content to the terminal, allowing the user to view the generated manga.

[0711] Step 8:

[0712] The terminal displays the received original content on the screen, allowing users to view and enjoy the original manga created based on their own input data.

[0713] Step 9:

[0714] The server stores user preference data, accumulating data on the user's interests based on the information entered by the user and the content of the generated manga.

[0715] Step 10:

[0716] The server uses the stored preference data to prepare promotional messages based on specific criteria, such as events and special offers that may be of interest to the user.

[0717] Step 11:

[0718] The server sends promotional messages to users at appropriate times through messaging services such as LINE, allowing promotions based on the user's interests.

[0719] Example 1

[0720] 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."

[0721] Conventional original content generation systems have the problem that the process of efficiently managing user input data and generating individually customized content is cumbersome and time-consuming. Furthermore, they lack the functionality to accumulate user preference information based on the generated content and effectively use it in marketing activities. As a result, they have not been able to fully improve the user experience or maximize advertising effectiveness.

[0722] 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.

[0723] In this invention, the server includes a data acquisition means for receiving user input data and generating original content based on the user's occupation, name, style, and facial photograph; a means for calling a generating AI model to generate the original content; a display means for displaying the generated original content; and a data storage means for saving the user's preference data and transmitting promotional information based on specific conditions. This allows for efficient management of user input data and rapid generation of original content. Furthermore, the accumulation of preference data based on the generated content and the smooth delivery of targeted advertisements based on the data can be achieved.

[0724] "User" means any person or entity that utilizes the System to provide input data and receive Original Content.

[0725] "Input data" refers to information such as occupation, name, style, and photograph that a user provides to the system via a terminal.

[0726] "Original content" refers to customized content such as manga stories and images generated based on user input data using a generative AI model.

[0727] "Data acquisition means" refers to the function of receiving user input data, structuring it, and sending it to the system.

[0728] "Generative artificial intelligence model" refers to the algorithms and techniques, specifically AI models, used to generate original content based on user input data.

[0729] "Display means" refers to a function for displaying the generated original content on the user's terminal.

[0730] "Data storage means" refers to a function that stores information about user input data and generated original content, and accumulates it as preference data based on that information.

[0731] "Preference data" refers to information about a user's hobbies and preferences, extracted from input data and generated content, and used for marketing activities.

[0732] "Targeted advertising" refers to advertisements such as event information and special offer information tailored to a user's interests and concerns based on preference data.

[0733] "Terminal" refers to an electronic device that allows a user to access the system to provide input data or view generated content.

[0734] The present invention is a system that generates original content based on user input data, displays it, and stores it as preference data for use in marketing activities. This system mainly includes a server, a user terminal, and a generation AI model. The detailed implementation method is described below.

[0735] First, the user launches the mini-app on their device and enters the necessary information. Specifically, they fill in an input form with data such as their occupation, name, style, and photo. The device then structures this input data and sends it to the server.

[0736] Next, the server receives the input data from the terminal and performs validation. Validation is the process of checking whether each item is entered correctly and completely. For example, it checks whether the name is blank or whether the face photo has been properly uploaded. If there is an error in the data, the server returns an error message to the terminal and prompts the user to re-enter the data.

[0737] If the validation is successful, the server calls the generative AI model based on the data. Specifically, it generates a prompt sentence containing the user's information and inputs it into the generative AI model. For example, the prompt sentence might look like this:

[0738] Occupation: Firefighter

[0739] Name: Taro

[0740] Style: Comical

[0741] Photo of face: <Image data>

[0742] Using this information, please create a comical manga story in which Taro becomes a firefighter and does great things.

[0743] Based on this prompt, a generative AI model (e.g., OpenAI's GPT-4 or Google's BERT) generates an original manga story and image and returns it to the server.

[0744] The server receives the generated original content, structures it, and sends it to the terminal. The terminal receives this data and displays it in manga format on the screen, allowing users to easily enjoy their own original manga.

[0745] Furthermore, the system stores information about the user's input data and the generated original content as preference data. The preference data includes information based on the user's hobbies and interests. Based on this data, the server can later send promotional and event information to the user via messaging services such as LINE based on specific conditions. This makes it possible to deliver targeted advertisements effectively.

[0746] As described above, the present invention uses a server, terminal, and generative AI model to realize a series of processes for generating original content based on user input data and then displaying and saving it, thereby enabling effective information distribution in marketing activities.

[0747] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0748] Step 1:

[0749] The user launches the mini-app from the device and provides input data.

[0750] Input: Occupation, name, style, photo

[0751] Specific operation: The user opens the mini-app on their device and enters information such as occupation, name, style, and face photo into the form on the screen. The input data is sent by clicking the "Submit" button.

[0752] Output: Structured input data is sent from the device to the server.

[0753] Step 2:

[0754] The server receives the input data and performs validation.

[0755] Input: Structured input data

[0756] Specific operation: The server receives the data sent from the device and validates whether the occupation, name, style, and face photo are entered correctly. For example, it checks whether the name is blank and whether the photo is uploaded properly.

[0757] Output: A validation success message is generated. If there is a problem with the data, an error message is generated.

[0758] Step 3:

[0759] If validation is successful, the server invokes the generative AI model.

[0760] Input: Successfully validated input data

[0761] Specific operation: The server generates a prompt using the validated data. The prompt is then input into a generative AI model to generate original content. For example, the following prompt is constructed:

[0762] Occupation: Firefighter

[0763] Name: Taro

[0764] Style: Comical

[0765] Photo of face: <Image data>

[0766] Using this information, please create a comical manga story in which Taro becomes a firefighter and does great things.

[0767] Output: The original manga story and image data returned by the generative AI model.

[0768] Step 4:

[0769] The generated original content is structured and sent from the server to the terminal.

[0770] Input: Original content from a generative AI model

[0771] Specific operation: The server receives the generated manga story and images and structures them into a format that can be displayed on the device.

[0772] Output: The structured original content is sent from the server to the terminal.

[0773] Step 5:

[0774] The terminal receives the original content and displays it to the user.

[0775] Input: Original content sent from the server

[0776] Specific operation: The device processes the data received from the server and displays it in manga format on the screen. Users can enjoy their own original manga.

[0777] Output: The original manga displayed to the user.

[0778] Step 6:

[0779] The server stores the user's input data and the generated original content as preference data.

[0780] Input: User-entered data and original content generated.

[0781] Specific operation: The server stores this data in a database and accumulates it as preference data.

[0782] Output: Saved preference data.

[0783] Step 7:

[0784] The server carries out marketing activities based on the preference data.

[0785] Input: Saved preference data

[0786] How it works: The server analyzes the preference data and creates targeted advertisements and promotional information based on specific conditions. This information is then sent to the user via messaging services such as LINE.

[0787] Output: Targeted advertising and promotional information sent to the user.

[0788] (Application example 1)

[0789] 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."

[0790] Conventional advertising systems have had the challenge of making it difficult to generate personalized ads based on a user's individual preferences and interests. In particular, technology for generating ads using detailed data such as a user's occupation, name, style, and face photo is still immature, making it difficult to provide effectively targeted ads.

[0791] 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.

[0792] In this invention, the server includes a first means for receiving user input data and generating original content based on the user's occupation, name, style, and facial photograph, a second means for calling a generating artificial intelligence to generate the original content, a third means for displaying the generated original content, a fourth means for saving the user's preference data and transmitting sales promotion information based on specific conditions, a fifth means for generating advertising content personalized for the user, and a sixth means for displaying the personalized advertising content on the user's terminal. This makes it possible to generate and display individually customized advertisements using detailed user data.

[0793] "User-input data" refers to information such as occupation, name, style, and face photo that a user inputs through a terminal.

[0794] "Original Content" refers to unique creations and advertisements generated based on user-entered data.

[0795] "Generative AI" refers to an artificial intelligence system that generates original content based on user-input data.

[0796] "Display means" refers to a device or software that allows a user to view the generated original content.

[0797] "Preference Data" refers to information about a user's preferences and interests that is collected based on data entered by the user and / or original content generated by the user.

[0798] "Promotional Information" means promotional or advertising information relating to products or services.

[0799] "Personalized advertising content" refers to advertising content tailored to an individual user based on the user's preference data.

[0800] System Configuration

[0801] To implement this invention, a system combining the following elements is required.

[0802] 1. Collecting User-Input Data

[0803] Users use devices such as smartphones to input their occupation, name, style, and face photo. This data is sent to the server as "user-input data." This data is sent as structured form data.

[0804] 2. Data Validation

[0805] The server validates the received form data. The validation process checks whether each item (occupation, name, style, photo) is entered correctly. For example, it checks whether the photo is in the correct image format.

[0806] 3. Calling the generation AI

[0807] Based on the data that passes validation, a generation AI is called to generate original content customized for the user. The generated content could be, for example, a comical manga or advertising content. The generation AI is accessed using a default API key.

[0808] 4. Display of Content

[0809] The generated original content is sent from the server to the user's device and displayed on the device, allowing the user to enjoy their own personalized content in real time.

[0810] 5. Saving and using preference data

[0811] The server stores user preference data based on the generated content and input data. The stored preference data is used to deliver personalized advertisements and promotional information to users based on specific conditions. For example, notifications are sent via messaging services such as LINE.

[0812] Hardware and software used:

[0813] Smartphones and tablets: Devices through which users provide input data and display generated content.

[0814] Server: Validates data, calls the generation AI, delivers content, and stores preference data.

[0815] Generative AI: Artificial intelligence models for generating original content (e.g., AdGenerationAI).

[0816] Messaging services (e.g., LINE): Used to send personalized advertisements and promotional information to users.

[0817] Specific examples

[0818] For example, if a user uploads a photo of their face with the name "Taro" and the style "firefighter" and "comical," the AI ​​will generate the following advertising content:

[0819] Example prompt sentence:

[0820] "Generate a comic-style advertisement featuring 'Taro' who is a 'firefighter'. The style should be 'comical'. Here is the user's face photo: [Base64 encoded photo data]"

[0821] The manga and advertising content generated in this way comically depicts Taro's daily life as a firefighter and is displayed on the user's smartphone.

[0822] This system allows users to view individually customized advertising content in real time, maximizing advertising effectiveness.

[0823] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0824] Step 1:

[0825] Collecting user input data

[0826] A user inputs their occupation, name, style, and face photo using a device such as a smartphone. The device then sends the input data to the server as structured form data. The input data includes occupation, name, style, and face photo.

[0827] Step 2:

[0828] Data Validation

[0829] The server validates the received form data. The validation process checks whether the occupation and name are entered correctly, whether the style is selected appropriately, and whether the face photo is in the correct image format. Once validation is complete, only correctly entered data will proceed to the next step.

[0830] Step 3:

[0831] Calling the generated AI

[0832] The server calls the generative AI model based on the data that has passed validation. The generative AI uses the user input data to generate original content (for example, comical manga or advertising content). The generative AI is accessed using a pre-set API key and specific prompts are provided as input. The generative AI outputs original content based on the prompts.

[0833] Step 4:

[0834] Submitting generated content

[0835] The server sends the original content obtained from the generation AI to the user's device. The sent content is displayed on the user's device, allowing the user to enjoy original content generated based on their own data in real time.

[0836] Step 5:

[0837] Saving preference data

[0838] The server stores user preference data based on the user's input data and the generated original content. The preference data includes the user's occupation, name, style, and content of the generated content, and is used to deliver targeted advertisements in the future.

[0839] Step 6:

[0840] Generating personalized advertising content

[0841] The server generates personalized advertising content for the user based on the stored preference data. The generation AI is again used to create advertising content based on the stored data and provided with specific prompts as input. The generation AI outputs personalized advertising content based on the prompts.

[0842] Step 7:

[0843] Displaying personalized advertising content

[0844] The server sends the personalized advertising content obtained from the generation AI to the user's device. The user can then check the advertising content generated based on their preferences on their device, thereby improving the effectiveness of advertising.

[0845] Through this series of steps, users can receive original content and advertisements that are individually customized in real time.

[0846] 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.

[0847] The present invention is a system that includes user input data, generation AI, display means, preference data storage means, and an emotion engine, and uses this system to generate original content and improve advertising effectiveness.

[0848] User Input

[0849] Users enter information such as their occupation, name, style, and photo via the mini-app from their device. This input data is structured as form data and sent to the server.

[0850] Data Receipt and Validation

[0851] The server receives the form data from the user and validates it by checking whether the occupation, name, style, and face photo are entered correctly and whether there are any missing or incorrect information.

[0852] Applying the Emotion Engine

[0853] The server recognizes the user's emotions using an emotion engine based on the received facial photo data. The emotion engine analyzes the user's emotional state (e.g., joy, surprise, sadness, etc.) based on the features extracted from the facial photo.

[0854] Calling the generated AI

[0855] The server calls the generation AI based on the validation and analysis results of the emotion engine. The generation AI automatically generates original content (manga) based on the acquired data (occupation, name, style, face photo, and emotional state).

[0856] Content Adjustment

[0857] The generative AI adjusts the content according to the user's emotional state, as recognized by the emotion engine. For example, if the user expresses joy, it generates manga with a positive storyline and emphasized colors.

[0858] View content

[0859] The generated original content is sent from the server to the device. The device then displays the content in manga format on the screen based on the received data. This allows users to enjoy their own original manga.

[0860] Saving and utilizing preference data

[0861] The server stores user input data, information about the generated original content, and the analysis results of the emotion engine as preference data. This preference data will be used later to deliver targeted advertisements. Specifically, event information and special offer information based on the user's occupation, interests, and emotional state will be sent via messaging services such as LINE.

[0862] Specific examples

[0863] For example, if a user uploads a photo of a child who wants to become a firefighter, with the child's name "Taro," style "comical," and face photo, the server receives this input data and uses an emotion engine to recognize the emotion of "excitement." The server then uses generative AI to generate a manga that depicts the story of how "Taro" becomes a firefighter. The generated manga is displayed on the user's device as a comical manga. During this process, the server saves the name "Taro," the occupation "firefighter," and the emotion data of "excitement" for use in future marketing activities.

[0864] As a result, the system of the present invention not only generates original content for children, but can also be effectively utilized in subsequent marketing activities. Furthermore, by combining it with an emotion engine, it becomes possible to provide more personalized content and deliver advertisements that match the user's emotional state. Users can receive information based on their interests and emotions while enjoying individually customized content.

[0865] The processing flow will be explained below.

[0866] Step 1:

[0867] The user opens the mini-app on LINE and enters the necessary information such as occupation, name, style, face photo, etc. In this step, the user provides the data through the interface.

[0868] Step 2:

[0869] The device collects the input data and structures it as form data. This form data is formatted to include each input item (occupation, name, style, and photo) in preparation for sending it to the server.

[0870] Step 3:

[0871] The terminal sends the form data to the server, where a security protocol is applied to protect the user data.

[0872] Step 4:

[0873] The server analyzes the form data it receives and validates its contents by checking whether the occupation, name, style, and face photo are entered correctly and whether there are any missing or incorrect information.

[0874] Step 5:

[0875] The server uses the validated data to recognize the user's emotions using an emotion engine, which analyzes the facial photos uploaded by the user to identify emotions such as joy, surprise, and sadness.

[0876] Step 6:

[0877] The server adds the emotion data recognized by the emotion engine and then calls the generation AI, which automatically generates original content (manga) based on the user's occupation, name, style, face photo, and emotion data.

[0878] Step 7:

[0879] The AI ​​generates manga according to a specified algorithm. In this process, a comical manga depicting, for example, "Taro's journey to becoming a firefighter" is created.

[0880] Step 8:

[0881] The server sends the generated original content to the terminal, allowing the user to view the generated manga.

[0882] Step 9:

[0883] The device then displays the received original content on the screen. Users can view and enjoy the original manga based on their input data. Positive content and colors may be used to reflect the user's emotions.

[0884] Step 10:

[0885] The server stores user preference data, data on the generated original content, and the analysis results of the emotion engine, thereby accumulating detailed data on the user's interests and emotions.

[0886] Step 11:

[0887] The server uses the stored preference and emotion data to prepare promotional messages based on specific conditions. For example, if a user has a positive emotional response, it will select event information or special offer information that is appropriate for that emotional state.

[0888] Step 12:

[0889] The server sends promotional messages to users at appropriate times through messaging services such as LINE, allowing promotions based on the user's interests and emotions.

[0890] Example 2

[0891] 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."

[0892] Conventional original content generation systems generate content based on user input data without taking the user's emotional state into account, resulting in low personalization and difficulty in improving user satisfaction. Furthermore, marketing methods for effectively utilizing the generated content are limited, making it difficult to implement targeted advertising based on user preferences.

[0893] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for receiving user input data and generating original content based on the user's occupation, name, style, and facial photo; means for calling the generation artificial intelligence; means for displaying the generated original content; means for saving the user's preference data and transmitting promotional information based on specific conditions; means for analyzing the user's emotional state from the user's input data using an emotion analysis engine; and means for adjusting the content of the original content according to the analyzed emotional state. This enables advanced personalization that takes the user's emotional state into consideration, significantly improving user satisfaction. Furthermore, it also enables the delivery of targeted advertisements utilizing preference data, thereby enhancing marketing effectiveness.

[0894] "User input data" refers to information about occupation, name, style, and face photo that a user provides to the system through a terminal.

[0895] The "first means" refers to a means for receiving input data from a user and generating original content based on the user's occupation, name, style, and face photo.

[0896] "Generative AI" refers to AI technology used to automatically generate original content using user input data.

[0897] The "second means" refers to a means for invoking a generating artificial intelligence to generate the original content.

[0898] The "third means" refers to a means for transmitting the generated original content to the user's terminal and displaying it.

[0899] The "fourth means" refers to a means for storing user preference data and transmitting promotional information based on specific conditions.

[0900] An "emotion analysis engine" refers to a technology that extracts features from a user's facial photo data and analyzes the user's emotional state based on those features.

[0901] "Emotional state" refers to the emotional state, such as joy, surprise, or sadness, analyzed from the user's facial photo data.

[0902] "Original content" refers to content such as stories and illustrations exclusive to the user that are generated based on the user's input data and emotional state.

[0903] "Preference Data" refers to data regarding a user's preferences and interests, including analysis of user input data, generated content, and emotional state.

[0904] The present invention is a system that includes user input data, generation AI, display means, preference data storage means, and an emotion analysis engine, and uses this system to generate original content and improve advertising effectiveness.

[0905] Users input information such as their occupation, name, style, and photo via a mini-app from their device. This information is structured as form data on the device and sent to the server. The server can use programming languages ​​such as JavaScript or Python to validate the received user input data and check for omissions or errors.

[0906] Next, the server applies an emotion analysis engine based on the facial photo data. This engine can use, for example, Microsoft Azure's Face API or Google Cloud's Vision API. The emotion analysis engine extracts features from the facial photo data and analyzes the user's emotional state (e.g., joy, surprise, sadness, etc.).

[0907] Once the analysis is complete, the server invokes a generative artificial intelligence (generative AI), which can be implemented using OpenAI's GPT-3 or Google's Transformer model, to automatically generate original content (e.g., manga) based on the user's occupation, name, style, face photo, and emotional state.

[0908] The generated original content is sent from the server to the device, which then displays it in manga format on the screen. Users can enjoy the manga through a mini-app. The server also stores the user's input data, information about the generated original content, and the results of emotion analysis as preference data, which can be used to deliver targeted advertisements at a later date.

[0909] To give a specific example, if a user uploads a photo of a child who wants to become a firefighter, with the child's name "Taro" and style set to "comical," the server receives this input data and uses an emotion analysis engine to recognize the emotion of "excitement." The server then uses a generative AI to generate a manga that tells the story of how "Taro" becomes a firefighter. The generated manga is displayed on the user's device as a comical manga.

[0910] An example of a prompt sentence to input to the generative AI model is as follows:

[0911] Input data: Name = Taro, Occupation = Firefighter, Style = Comical, Emotion = Excitement

[0912] Generative AI: Based on this data, generate a comical manga that tells the story of how Taro became a firefighter.

[0913] This allows the system of the present invention to achieve advanced personalization that takes into account the user's emotional state, significantly improving user satisfaction. It also enables targeted advertising using preference data, enhancing marketing effectiveness.

[0914] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0915] Step 1:

[0916] User Input

[0917] Users input information such as occupation, name, style, and face photo from their own device via a mini-app. This information is structured as form data on the device and sent to the server. Specifically, the user enters the necessary data into the input form and presses the send button, which sends the data to the server. At this stage, the inputs are occupation, name, style, and face photo.

[0918] Input: Occupation, name, style, photo

[0919] Output: Structured form data

[0920] Step 2:

[0921] Data Receipt and Validation

[0922] The server receives the form data sent by the user. It validates the received data and checks for missing or incorrect information. For example, if the name is blank or the face photo has not been uploaded correctly, it generates an error message and returns it to the terminal. Specifically, the server checks the integrity of the data using a Python validation library or similar.

[0923] Input: Structured form data

[0924] Output: Validation result (success or error message)

[0925] Step 3:

[0926] Applying the Emotion Engine

[0927] The server applies an emotion analysis engine based on the received facial photo data. This engine extracts features from the facial photo and recognizes the user's emotional state. For example, it uses Microsoft Azure's Face API to analyze emotional states such as joy, surprise, and sadness. Specifically, the emotion analysis engine receives facial photo data as input and outputs the emotional state result.

[0928] Input: Facial photo data

[0929] Output: Emotional state (e.g., happy, surprised, sad)

[0930] Step 4:

[0931] Calling the generated AI

[0932] The server calls the generation AI based on the validation and emotion engine analysis results. The generation AI generates original content based on the prompt text. Specifically, it generates the prompt text and passes it to a model such as OpenAI's GPT-3 to generate content.

[0933] Input: Occupation, name, style, emotional state

[0934] Output: Prompts for the generation AI, generated original content

[0935] Step 5:

[0936] Content Adjustment

[0937] The generative AI adjusts the content according to the user's emotional state, as recognized by the emotion analysis engine. For example, if the user expresses joy, the story and character expressions will include more positive elements. Specifically, the generative AI model optimizes the output content based on the user's emotional state.

[0938] Input: Emotional state, generated original content

[0939] Output: Adjusted original content

[0940] Step 6:

[0941] View content

[0942] The generated original content is sent from the server to the device, which then displays it in manga format on the screen. Specifically, the server sends the adjusted original content to the device, and the application on the device displays it.

[0943] Input: Adapted original content

[0944] Output: Manga content displayed on the device

[0945] Step 7:

[0946] Saving and utilizing preference data

[0947] The server stores the user's input data, information about the generated original content, and the results of sentiment analysis as preference data. This preference data is later used to deliver targeted advertisements. Specifically, the server stores the preference data in a database and provides the data to the advertisement delivery engine.

[0948] Input: Occupation, name, style, emotional state, original content

[0949] Output: Stored preference data, targeted ads delivered

[0950] (Application example 2)

[0951] 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."

[0952] Conventional content generation systems are specialized in generating content based on user input data, making it difficult to generate content that reflects the user's emotional state and preferences, or to apply that data to marketing activities. Furthermore, the generated content is not adjusted according to the user's emotions, limiting the provision of personalized content.

[0953] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: first means for receiving user input data and generating original content based on the user's occupation, name, style, and facial photo; an emotion engine for analyzing the user's emotional state; second means for calling a generation artificial intelligence to generate the original content; third means for displaying the generated original content; and fourth means for saving the user's preference data and transmitting promotional information based on specific conditions. This enables the generation of personalized content according to the user's emotional state and preferences and the effective delivery of targeted advertisements based on the content.

[0954] "User input data" refers to information such as occupation, name, style, and face photo that the user inputs through the terminal.

[0955] "Occupation" refers to the type of job or role a user holds.

[0956] "Name" refers to a personal name used to identify a user.

[0957] "Style" refers to the style and atmosphere of the content desired by the user.

[0958] A "face photo" refers to an image of the user's face.

[0959] "Original content" refers to unique content generated based on user input data.

[0960] "Emotion engine" refers to technology for analyzing a user's emotional state from a facial photograph.

[0961] "Generative AI" refers to AI technology that generates content based on user input data and emotional state.

[0962] "Preference data" refers to data such as a user's preferences, interests, and emotional state.

[0963] "Promotional information" refers to information intended to promote the sale of products or services.

[0964] "Specific conditions" refer to criteria set based on the user's preference data and behavioral history.

[0965] "Terminal" refers to a device used by a user, such as a smartphone or computer.

[0966] "Form data" refers to a data format for structuring information entered by a user and sending it to a server.

[0967] "Validation" refers to the process of checking the accuracy and completeness of data entered by a user.

[0968] "Server" refers to a computer system for receiving and processing user input data.

[0969] The present invention is a system that analyzes the emotional state of a user based on input data and generates original content accordingly. This system is realized using the following main hardware and software.

[0970] First, the user enters information such as occupation, name, style, and face photo via a device such as a smartphone or PC. This input data is sent to the server as structured form data. The server is built using the Flask framework, and upon receiving the user's input data, it validates its contents. If validation is successful, the server then uses an emotion engine to analyze the user's emotions based on the received face photo data. This emotion engine extracts features from the face photo and identifies the user's emotional state (happiness, surprise, sadness, etc.).

[0971] Based on the analysis results of the emotion engine, the server calls a generative AI model to generate original content (for example, manga). The generative AI model automatically generates content based on the user's occupation, name, style, and emotional state, and adjusts the content according to the user's emotions. For example, if the user expresses joy, it generates a manga that emphasizes a positive storyline and colors. The generated manga is sent as data from the server to the user's device and displayed on the device screen.

[0972] Furthermore, the server stores the user's input data, information about the generated original content, and the analysis results of the emotion engine as preference data. This preference data will be used later to deliver targeted advertising. Specifically, promotional and event information based on the user's occupation, interests, and emotional state will be sent to the user, for example, via a messaging service.

[0973] Specific examples

[0974] For example, if a user enters information that includes "student," "Suzuki Taro," "anime-style," and "surprise," the server receives this data and recognizes the emotion of "surprise" using its emotion engine. It then uses generative AI to generate an anime-style manga depicting Suzuki Taro's school life. The generated manga has a story based on the theme of surprise and is displayed on the user's smartphone. During this process, the server saves the data "Suzuki Taro," "student," "anime-style," and "surprise" for use in future marketing activities.

[0975] In this way, the present invention realizes the generation of personalized content according to input data and emotional state, and the effective delivery of targeted advertisements based on the content.

[0976] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0977] Step 1:

[0978] The user uses a terminal to input information such as occupation, name, style, and face photo. In this process, the data provided by the user is structured in a form. The input data (occupation, name, style, and face photo) is processed on the terminal and sent to the server.

[0979] Step 2:

[0980] The server receives input data submitted by the user. This data includes occupation, name, style, and photo, and the server validates this data. Validation checks whether the data is complete and accurate. It verifies that the input data (occupation, name, style, photo) is accurate and complete.

[0981] Step 3:

[0982] The server uses an emotion engine to analyze the facial photo data. The facial photo data is input to the emotion engine, which extracts features from the facial photo and recognizes the user's emotional state. For example, the emotion engine determines whether the user is expressing emotions such as happiness, surprise, or sadness. The emotional state (happiness, surprise, sadness, etc.) is output.

[0983] Step 4:

[0984] After validation is successful and emotion analysis by the emotion engine is complete, the server calls the generative AI model. The generative AI model receives data such as occupation, name, style, and emotional state as input, and generates original content (e.g., manga) based on this. The generative AI model generates content based on the input data, adjusting it according to the user's emotional state. The generated content (manga) is then output.

[0985] Step 5:

[0986] The generated original content is sent from the server to the user's device. The device displays the original content on the screen based on the received data. The content data is input into the user's device and displayed on the screen, allowing the user to enjoy the original manga.

[0987] Step 6:

[0988] The server stores the user's input data, the generated original content, and the analysis results of the emotion engine as preference data. This preference data will be used later to deliver targeted advertisements. The user's data (occupation, name, style, emotional state, and information on the generated content) is stored. The preference data will be used to deliver advertisements, and promotional information will be sent to the user based on specific conditions.

[0989] 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.

[0990] 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.

[0991] 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.

[0992] [Fourth embodiment]

[0993] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0994] 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.

[0995] 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).

[0996] 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.

[0997] 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.

[0998] 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).

[0999] 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.

[1000] 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.

[1001] 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.

[1002] 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.

[1003] 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.

[1004] 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.

[1005] 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."

[1006] The present invention is a system that includes user input data, generation AI, display means, preference data storage means, etc., and uses this system to generate original content and enhance advertising effectiveness.

[1007] User Input

[1008] Users enter information such as their occupation, name, style, and photo via the mini-app from their device. This input data is structured as form data and sent to the server.

[1009] Data Receipt and Validation

[1010] The server receives the form data from the user and validates it by checking whether the occupation, name, style, and face photo are entered correctly.

[1011] Calling the generated AI

[1012] Based on the data that passes validation, the server calls the generation AI, which generates original content based on the user's input data. Specifically, it creates manga stories and images according to a set algorithm based on the user's occupation, name, style, and face photo.

[1013] View content

[1014] The generated original content is sent from the server to the device. The device then displays the content in manga format on the screen based on the received data. This allows users to enjoy their own original manga.

[1015] Saving and utilizing preference data

[1016] The server stores the user's input data and information about the generated original content as preference data. This preference data is later used to deliver targeted advertisements. Specifically, event information and special offers based on the user's occupation and interests are sent via messaging services such as LINE.

[1017] Specific examples

[1018] For example, if a user uploads the name "Taro," the style "comical," and a photo of a child who wants to be a firefighter, the server receives this input data and uses generative AI to generate a manga that tells the story of how "Taro" becomes a firefighter. The generated manga is displayed on the user's device as a comical manga. During this process, the server saves data related to the name "Taro" and the occupation "firefighter" to use in future marketing activities.

[1019] As a result, the system of the present invention not only generates original content for children, but can also be effectively utilized in subsequent marketing activities. Users can receive information based on their interests while enjoying individually customized content.

[1020] The processing flow will be explained below.

[1021] Step 1:

[1022] The user opens the mini-app on LINE and enters the necessary information such as occupation, name, style, face photo, etc. In this step, the user provides the data through the interface.

[1023] Step 2:

[1024] The device collects the input data and structures it as form data. This form data is formatted to include each input item (occupation, name, style, and photo) in preparation for sending it to the server.

[1025] Step 3:

[1026] The terminal sends the form data to the server, where a security protocol is applied to protect the user data.

[1027] Step 4:

[1028] The server analyzes the form data it receives and validates its contents by checking whether the occupation, name, style, and face photo are entered correctly and whether there are any missing or incorrect information.

[1029] Step 5:

[1030] The server calls a generation AI based on the data that has passed validation. The generation AI automatically generates original content (manga) based on the acquired data (occupation, name, style, and photo).

[1031] Step 6:

[1032] The AI ​​generates manga according to a specified algorithm, for example, by using the input of the user's occupation, name, style, and face photo to create a storyline and graphics.

[1033] Step 7:

[1034] The server sends the generated original content to the terminal, allowing the user to view the generated manga.

[1035] Step 8:

[1036] The terminal displays the received original content on the screen, allowing users to view and enjoy the original manga created based on their own input data.

[1037] Step 9:

[1038] The server stores user preference data, accumulating data on the user's interests based on the information entered by the user and the content of the generated manga.

[1039] Step 10:

[1040] The server uses the stored preference data to prepare promotional messages based on specific criteria, such as events and special offers that may be of interest to the user.

[1041] Step 11:

[1042] The server sends promotional messages to users at appropriate times through messaging services such as LINE, allowing promotions based on the user's interests.

[1043] Example 1

[1044] 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."

[1045] Conventional original content generation systems have the problem that the process of efficiently managing user input data and generating individually customized content is cumbersome and time-consuming. Furthermore, they lack the functionality to accumulate user preference information based on the generated content and effectively use it in marketing activities. As a result, they have not been able to fully improve the user experience or maximize advertising effectiveness.

[1046] 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.

[1047] In this invention, the server includes a data acquisition means for receiving user input data and generating original content based on the user's occupation, name, style, and facial photograph; a means for calling a generating AI model to generate the original content; a display means for displaying the generated original content; and a data storage means for saving the user's preference data and transmitting promotional information based on specific conditions. This allows for efficient management of user input data and rapid generation of original content. Furthermore, the accumulation of preference data based on the generated content and the smooth delivery of targeted advertisements based on the data can be achieved.

[1048] "User" means any person or entity that utilizes the System to provide input data and receive Original Content.

[1049] "Input data" refers to information such as occupation, name, style, and photograph that a user provides to the system via a terminal.

[1050] "Original content" refers to customized content such as manga stories and images generated based on user input data using a generative AI model.

[1051] "Data acquisition means" refers to the function of receiving user input data, structuring it, and sending it to the system.

[1052] "Generative artificial intelligence model" refers to the algorithms and techniques, specifically AI models, used to generate original content based on user input data.

[1053] "Display means" refers to a function for displaying the generated original content on the user's terminal.

[1054] "Data storage means" refers to a function that stores information about user input data and generated original content, and accumulates it as preference data based on that information.

[1055] "Preference data" refers to information about a user's hobbies and preferences, extracted from input data and generated content, and used for marketing activities.

[1056] "Targeted advertising" refers to advertisements such as event information and special offer information tailored to a user's interests and concerns based on preference data.

[1057] "Terminal" refers to an electronic device that allows a user to access the system to provide input data or view generated content.

[1058] The present invention is a system that generates original content based on user input data, displays it, and stores it as preference data for use in marketing activities. This system mainly includes a server, a user terminal, and a generation AI model. The detailed implementation method is described below.

[1059] First, the user launches the mini-app on their device and enters the necessary information. Specifically, they fill in an input form with data such as their occupation, name, style, and photo. The device then structures this input data and sends it to the server.

[1060] Next, the server receives the input data from the terminal and performs validation. Validation is the process of checking whether each item is entered correctly and completely. For example, it checks whether the name is blank or whether the face photo has been properly uploaded. If there is an error in the data, the server returns an error message to the terminal and prompts the user to re-enter the data.

[1061] If the validation is successful, the server calls the generative AI model based on the data. Specifically, it generates a prompt sentence containing the user's information and inputs it into the generative AI model. For example, the prompt sentence might look like this:

[1062] Occupation: Firefighter

[1063] Name: Taro

[1064] Style: Comical

[1065] Photo of face: <Image data>

[1066] Using this information, please create a comical manga story in which Taro becomes a firefighter and does great things.

[1067] Based on this prompt, a generative AI model (e.g., OpenAI's GPT-4 or Google's BERT) generates an original manga story and image and returns it to the server.

[1068] The server receives the generated original content, structures it, and sends it to the terminal. The terminal receives this data and displays it in manga format on the screen, allowing users to easily enjoy their own original manga.

[1069] Furthermore, the system stores information about the user's input data and the generated original content as preference data. The preference data includes information based on the user's hobbies and interests. Based on this data, the server can later send promotional and event information to the user via messaging services such as LINE based on specific conditions. This makes it possible to deliver targeted advertisements effectively.

[1070] As described above, the present invention uses a server, terminal, and generative AI model to realize a series of processes for generating original content based on user input data and then displaying and saving it, thereby enabling effective information distribution in marketing activities.

[1071] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1072] Step 1:

[1073] The user launches the mini-app from the device and provides input data.

[1074] Input: Occupation, name, style, photo

[1075] Specific operation: The user opens the mini-app on their device and enters information such as occupation, name, style, and face photo into the form on the screen. The input data is sent by clicking the "Submit" button.

[1076] Output: Structured input data is sent from the device to the server.

[1077] Step 2:

[1078] The server receives the input data and performs validation.

[1079] Input: Structured input data

[1080] Specific operation: The server receives the data sent from the device and validates whether the occupation, name, style, and face photo are entered correctly. For example, it checks whether the name is blank and whether the photo is uploaded properly.

[1081] Output: A validation success message is generated. If there is a problem with the data, an error message is generated.

[1082] Step 3:

[1083] If validation is successful, the server invokes the generative AI model.

[1084] Input: Successfully validated input data

[1085] Specific operation: The server generates a prompt using the validated data. The prompt is then input into a generative AI model to generate original content. For example, the following prompt is constructed:

[1086] Occupation: Firefighter

[1087] Name: Taro

[1088] Style: Comical

[1089] Photo of face: <Image data>

[1090] Using this information, please create a comical manga story in which Taro becomes a firefighter and does great things.

[1091] Output: The original manga story and image data returned by the generative AI model.

[1092] Step 4:

[1093] The generated original content is structured and sent from the server to the terminal.

[1094] Input: Original content from a generative AI model

[1095] Specific operation: The server receives the generated manga story and images and structures them into a format that can be displayed on the device.

[1096] Output: The structured original content is sent from the server to the terminal.

[1097] Step 5:

[1098] The terminal receives the original content and displays it to the user.

[1099] Input: Original content sent from the server

[1100] Specific operation: The device processes the data received from the server and displays it in manga format on the screen. Users can enjoy their own original manga.

[1101] Output: The original manga displayed to the user.

[1102] Step 6:

[1103] The server stores the user's input data and the generated original content as preference data.

[1104] Input: User-entered data and original content generated.

[1105] Specific operation: The server stores this data in a database and accumulates it as preference data.

[1106] Output: Saved preference data.

[1107] Step 7:

[1108] The server carries out marketing activities based on the preference data.

[1109] Input: Saved preference data

[1110] How it works: The server analyzes the preference data and creates targeted advertisements and promotional information based on specific conditions. This information is then sent to the user via messaging services such as LINE.

[1111] Output: Targeted advertising and promotional information sent to the user.

[1112] (Application example 1)

[1113] 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."

[1114] Conventional advertising systems have had the challenge of making it difficult to generate personalized ads based on a user's individual preferences and interests. In particular, technology for generating ads using detailed data such as a user's occupation, name, style, and face photo is still immature, making it difficult to provide effectively targeted ads.

[1115] 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.

[1116] In this invention, the server includes a first means for receiving user input data and generating original content based on the user's occupation, name, style, and facial photograph, a second means for calling a generating artificial intelligence to generate the original content, a third means for displaying the generated original content, a fourth means for saving the user's preference data and transmitting sales promotion information based on specific conditions, a fifth means for generating advertising content personalized for the user, and a sixth means for displaying the personalized advertising content on the user's terminal. This makes it possible to generate and display individually customized advertisements using detailed user data.

[1117] "User-input data" refers to information such as occupation, name, style, and face photo that a user inputs through a terminal.

[1118] "Original Content" refers to unique creations and advertisements generated based on user-entered data.

[1119] "Generative AI" refers to an artificial intelligence system that generates original content based on user-input data.

[1120] "Display means" refers to a device or software that allows a user to view the generated original content.

[1121] "Preference Data" refers to information about a user's preferences and interests that is collected based on data entered by the user and / or original content generated by the user.

[1122] "Promotional Information" means promotional or advertising information relating to products or services.

[1123] "Personalized advertising content" refers to advertising content tailored to an individual user based on the user's preference data.

[1124] System Configuration

[1125] To implement this invention, a system combining the following elements is required.

[1126] 1. Collecting User-Input Data

[1127] Users use devices such as smartphones to input their occupation, name, style, and face photo. This data is sent to the server as "user-input data." This data is sent as structured form data.

[1128] 2. Data Validation

[1129] The server validates the received form data. The validation process checks whether each item (occupation, name, style, photo) is entered correctly. For example, it checks whether the photo is in the correct image format.

[1130] 3. Calling the generation AI

[1131] Based on the data that passes validation, a generation AI is called to generate original content customized for the user. The generated content could be, for example, a comical manga or advertising content. The generation AI is accessed using a default API key.

[1132] 4. Display of Content

[1133] The generated original content is sent from the server to the user's device and displayed on the device, allowing the user to enjoy their own personalized content in real time.

[1134] 5. Saving and using preference data

[1135] The server stores user preference data based on the generated content and input data. The stored preference data is used to deliver personalized advertisements and promotional information to users based on specific conditions. For example, notifications are sent via messaging services such as LINE.

[1136] Hardware and software used:

[1137] Smartphones and tablets: Devices through which users provide input data and display generated content.

[1138] Server: Validates data, calls the generation AI, delivers content, and stores preference data.

[1139] Generative AI: Artificial intelligence models for generating original content (e.g., AdGenerationAI).

[1140] Messaging services (e.g., LINE): Used to send personalized advertisements and promotional information to users.

[1141] Specific examples

[1142] For example, if a user uploads a photo of their face with the name "Taro" and the style "firefighter" and "comical," the AI ​​will generate the following advertising content:

[1143] Example prompt sentence:

[1144] "Generate a comic-style advertisement featuring 'Taro' who is a 'firefighter'. The style should be 'comical'. Here is the user's face photo: [Base64 encoded photo data]"

[1145] The manga and advertising content generated in this way comically depicts Taro's daily life as a firefighter and is displayed on the user's smartphone.

[1146] This system allows users to view individually customized advertising content in real time, maximizing advertising effectiveness.

[1147] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1148] Step 1:

[1149] Collecting user input data

[1150] A user inputs their occupation, name, style, and face photo using a device such as a smartphone. The device then sends the input data to the server as structured form data. The input data includes occupation, name, style, and face photo.

[1151] Step 2:

[1152] Data Validation

[1153] The server validates the received form data. The validation process checks whether the occupation and name are entered correctly, whether the style is selected appropriately, and whether the face photo is in the correct image format. Once validation is complete, only correctly entered data will proceed to the next step.

[1154] Step 3:

[1155] Calling the generated AI

[1156] The server calls the generative AI model based on the data that has passed validation. The generative AI uses the user input data to generate original content (for example, comical manga or advertising content). The generative AI is accessed using a pre-set API key and specific prompts are provided as input. The generative AI outputs original content based on the prompts.

[1157] Step 4:

[1158] Submitting generated content

[1159] The server sends the original content obtained from the generation AI to the user's device. The sent content is displayed on the user's device, allowing the user to enjoy original content generated based on their own data in real time.

[1160] Step 5:

[1161] Saving preference data

[1162] The server stores user preference data based on the user's input data and the generated original content. The preference data includes the user's occupation, name, style, and content of the generated content, and is used to deliver targeted advertisements in the future.

[1163] Step 6:

[1164] Generating personalized advertising content

[1165] The server generates personalized advertising content for the user based on the stored preference data. The generation AI is again used to create advertising content based on the stored data and provided with specific prompts as input. The generation AI outputs personalized advertising content based on the prompts.

[1166] Step 7:

[1167] Displaying personalized advertising content

[1168] The server sends the personalized advertising content obtained from the generation AI to the user's device. The user can then check the advertising content generated based on their preferences on their device, thereby improving the effectiveness of advertising.

[1169] Through this series of steps, users can receive original content and advertisements that are individually customized in real time.

[1170] 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.

[1171] The present invention is a system that includes user input data, generation AI, display means, preference data storage means, and an emotion engine, and uses this system to generate original content and improve advertising effectiveness.

[1172] User Input

[1173] Users enter information such as their occupation, name, style, and photo via the mini-app from their device. This input data is structured as form data and sent to the server.

[1174] Data Receipt and Validation

[1175] The server receives the form data from the user and validates it by checking whether the occupation, name, style, and face photo are entered correctly and whether there are any missing or incorrect information.

[1176] Applying the Emotion Engine

[1177] The server recognizes the user's emotions using an emotion engine based on the received facial photo data. The emotion engine analyzes the user's emotional state (e.g., joy, surprise, sadness, etc.) based on the features extracted from the facial photo.

[1178] Calling the generated AI

[1179] The server calls the generation AI based on the validation and analysis results of the emotion engine. The generation AI automatically generates original content (manga) based on the acquired data (occupation, name, style, face photo, and emotional state).

[1180] Content Adjustment

[1181] The generative AI adjusts the content according to the user's emotional state, as recognized by the emotion engine. For example, if the user expresses joy, it generates manga with a positive storyline and emphasized colors.

[1182] View content

[1183] The generated original content is sent from the server to the device. The device then displays the content in manga format on the screen based on the received data. This allows users to enjoy their own original manga.

[1184] Saving and utilizing preference data

[1185] The server stores user input data, information about the generated original content, and the analysis results of the emotion engine as preference data. This preference data will be used later to deliver targeted advertisements. Specifically, event information and special offer information based on the user's occupation, interests, and emotional state will be sent via messaging services such as LINE.

[1186] Specific examples

[1187] For example, if a user uploads a photo of a child who wants to become a firefighter, with the child's name "Taro," style "comical," and face photo, the server receives this input data and uses an emotion engine to recognize the emotion of "excitement." The server then uses generative AI to generate a manga that depicts the story of how "Taro" becomes a firefighter. The generated manga is displayed on the user's device as a comical manga. During this process, the server saves the name "Taro," the occupation "firefighter," and the emotion data of "excitement" for use in future marketing activities.

[1188] As a result, the system of the present invention not only generates original content for children, but can also be effectively utilized in subsequent marketing activities. Furthermore, by combining it with an emotion engine, it becomes possible to provide more personalized content and deliver advertisements that match the user's emotional state. Users can receive information based on their interests and emotions while enjoying individually customized content.

[1189] The processing flow will be explained below.

[1190] Step 1:

[1191] The user opens the mini-app on LINE and enters the necessary information such as occupation, name, style, face photo, etc. In this step, the user provides the data through the interface.

[1192] Step 2:

[1193] The device collects the input data and structures it as form data. This form data is formatted to include each input item (occupation, name, style, and photo) in preparation for sending it to the server.

[1194] Step 3:

[1195] The terminal sends the form data to the server, where a security protocol is applied to protect the user data.

[1196] Step 4:

[1197] The server analyzes the form data it receives and validates its contents by checking whether the occupation, name, style, and face photo are entered correctly and whether there are any missing or incorrect information.

[1198] Step 5:

[1199] The server uses the validated data to recognize the user's emotions using an emotion engine, which analyzes the facial photos uploaded by the user to identify emotions such as joy, surprise, and sadness.

[1200] Step 6:

[1201] The server adds the emotion data recognized by the emotion engine and then calls the generation AI, which automatically generates original content (manga) based on the user's occupation, name, style, face photo, and emotion data.

[1202] Step 7:

[1203] The AI ​​generates manga according to a specified algorithm. In this process, a comical manga depicting, for example, "Taro's journey to becoming a firefighter" is created.

[1204] Step 8:

[1205] The server sends the generated original content to the terminal, allowing the user to view the generated manga.

[1206] Step 9:

[1207] The device then displays the received original content on the screen. Users can view and enjoy the original manga based on their input data. Positive content and colors may be used to reflect the user's emotions.

[1208] Step 10:

[1209] The server stores user preference data, data on the generated original content, and the analysis results of the emotion engine, thereby accumulating detailed data on the user's interests and emotions.

[1210] Step 11:

[1211] The server uses the stored preference and emotion data to prepare promotional messages based on specific conditions. For example, if a user has a positive emotional response, it will select event information or special offer information that is appropriate for that emotional state.

[1212] Step 12:

[1213] The server sends promotional messages to users at appropriate times through messaging services such as LINE, allowing promotions based on the user's interests and emotions.

[1214] Example 2

[1215] 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."

[1216] Conventional original content generation systems generate content based on user input data without taking the user's emotional state into account, resulting in low personalization and difficulty in improving user satisfaction. Furthermore, marketing methods for effectively utilizing the generated content are limited, making it difficult to implement targeted advertising based on user preferences.

[1217] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for receiving user input data and generating original content based on the user's occupation, name, style, and facial photo; means for calling the generation artificial intelligence; means for displaying the generated original content; means for saving the user's preference data and transmitting promotional information based on specific conditions; means for analyzing the user's emotional state from the user's input data using an emotion analysis engine; and means for adjusting the content of the original content according to the analyzed emotional state. This enables advanced personalization that takes the user's emotional state into consideration, significantly improving user satisfaction. Furthermore, it also enables the delivery of targeted advertisements utilizing preference data, thereby enhancing marketing effectiveness.

[1218] "User input data" refers to information about occupation, name, style, and face photo that a user provides to the system through a terminal.

[1219] The "first means" refers to a means for receiving input data from a user and generating original content based on the user's occupation, name, style, and face photo.

[1220] "Generative AI" refers to AI technology used to automatically generate original content using user input data.

[1221] The "second means" refers to a means for invoking a generating artificial intelligence to generate the original content.

[1222] The "third means" refers to a means for transmitting the generated original content to the user's terminal and displaying it.

[1223] The "fourth means" refers to a means for storing user preference data and transmitting promotional information based on specific conditions.

[1224] An "emotion analysis engine" refers to a technology that extracts features from a user's facial photo data and analyzes the user's emotional state based on those features.

[1225] "Emotional state" refers to the emotional state, such as joy, surprise, or sadness, analyzed from the user's facial photo data.

[1226] "Original content" refers to content such as stories and illustrations exclusive to the user that are generated based on the user's input data and emotional state.

[1227] "Preference Data" refers to data regarding a user's preferences and interests, including analysis of user input data, generated content, and emotional state.

[1228] The present invention is a system that includes user input data, generation AI, display means, preference data storage means, and an emotion analysis engine, and uses this system to generate original content and improve advertising effectiveness.

[1229] Users input information such as their occupation, name, style, and photo via a mini-app from their device. This information is structured as form data on the device and sent to the server. The server can use programming languages ​​such as JavaScript or Python to validate the received user input data and check for omissions or errors.

[1230] Next, the server applies an emotion analysis engine based on the facial photo data. This engine can use, for example, Microsoft Azure's Face API or Google Cloud's Vision API. The emotion analysis engine extracts features from the facial photo data and analyzes the user's emotional state (e.g., joy, surprise, sadness, etc.).

[1231] Once the analysis is complete, the server invokes a generative artificial intelligence (generative AI), which can be implemented using OpenAI's GPT-3 or Google's Transformer model, to automatically generate original content (e.g., manga) based on the user's occupation, name, style, face photo, and emotional state.

[1232] The generated original content is sent from the server to the device, which then displays it in manga format on the screen. Users can enjoy the manga through a mini-app. The server also stores the user's input data, information about the generated original content, and the results of emotion analysis as preference data, which can be used to deliver targeted advertisements at a later date.

[1233] To give a specific example, if a user uploads a photo of a child who wants to become a firefighter, with the child's name "Taro" and style set to "comical," the server receives this input data and uses an emotion analysis engine to recognize the emotion of "excitement." The server then uses a generative AI to generate a manga that tells the story of how "Taro" becomes a firefighter. The generated manga is displayed on the user's device as a comical manga.

[1234] An example of a prompt sentence to input to the generative AI model is as follows:

[1235] Input data: Name = Taro, Occupation = Firefighter, Style = Comical, Emotion = Excitement

[1236] Generative AI: Based on this data, generate a comical manga that tells the story of how Taro became a firefighter.

[1237] This allows the system of the present invention to achieve advanced personalization that takes into account the user's emotional state, significantly improving user satisfaction. It also enables targeted advertising using preference data, enhancing marketing effectiveness.

[1238] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1239] Step 1:

[1240] User Input

[1241] Users input information such as occupation, name, style, and face photo from their own device via a mini-app. This information is structured as form data on the device and sent to the server. Specifically, the user enters the necessary data into the input form and presses the send button, which sends the data to the server. At this stage, the inputs are occupation, name, style, and face photo.

[1242] Input: Occupation, name, style, photo

[1243] Output: Structured form data

[1244] Step 2:

[1245] Data Receipt and Validation

[1246] The server receives the form data sent by the user. It validates the received data and checks for missing or incorrect information. For example, if the name is blank or the face photo has not been uploaded correctly, it generates an error message and returns it to the terminal. Specifically, the server checks the integrity of the data using a Python validation library or similar.

[1247] Input: Structured form data

[1248] Output: Validation result (success or error message)

[1249] Step 3:

[1250] Applying the Emotion Engine

[1251] The server applies an emotion analysis engine based on the received facial photo data. This engine extracts features from the facial photo and recognizes the user's emotional state. For example, it uses Microsoft Azure's Face API to analyze emotional states such as joy, surprise, and sadness. Specifically, the emotion analysis engine receives facial photo data as input and outputs the emotional state result.

[1252] Input: Facial photo data

[1253] Output: Emotional state (e.g., happy, surprised, sad)

[1254] Step 4:

[1255] Calling the generated AI

[1256] The server calls the generation AI based on the validation and emotion engine analysis results. The generation AI generates original content based on the prompt text. Specifically, it generates the prompt text and passes it to a model such as OpenAI's GPT-3 to generate content.

[1257] Input: Occupation, name, style, emotional state

[1258] Output: Prompts for the generation AI, generated original content

[1259] Step 5:

[1260] Content Adjustment

[1261] The generative AI adjusts the content according to the user's emotional state, as recognized by the emotion analysis engine. For example, if the user expresses joy, the story and character expressions will include more positive elements. Specifically, the generative AI model optimizes the output content based on the user's emotional state.

[1262] Input: Emotional state, generated original content

[1263] Output: Adjusted original content

[1264] Step 6:

[1265] View content

[1266] The generated original content is sent from the server to the device, which then displays it in manga format on the screen. Specifically, the server sends the adjusted original content to the device, and the application on the device displays it.

[1267] Input: Adapted original content

[1268] Output: Manga content displayed on the device

[1269] Step 7:

[1270] Saving and utilizing preference data

[1271] The server stores the user's input data, information about the generated original content, and the results of sentiment analysis as preference data. This preference data is later used to deliver targeted advertisements. Specifically, the server stores the preference data in a database and provides the data to the advertisement delivery engine.

[1272] Input: Occupation, name, style, emotional state, original content

[1273] Output: Stored preference data, targeted ads delivered

[1274] (Application example 2)

[1275] 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."

[1276] Conventional content generation systems are specialized in generating content based on user input data, making it difficult to generate content that reflects the user's emotional state and preferences, or to apply that data to marketing activities. Furthermore, the generated content is not adjusted according to the user's emotions, limiting the provision of personalized content.

[1277] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: first means for receiving user input data and generating original content based on the user's occupation, name, style, and facial photo; an emotion engine for analyzing the user's emotional state; second means for calling a generation artificial intelligence to generate the original content; third means for displaying the generated original content; and fourth means for saving the user's preference data and transmitting promotional information based on specific conditions. This enables the generation of personalized content according to the user's emotional state and preferences and the effective delivery of targeted advertisements based on the content.

[1278] "User input data" refers to information such as occupation, name, style, and face photo that the user inputs through the terminal.

[1279] "Occupation" refers to the type of job or role a user holds.

[1280] "Name" refers to a personal name used to identify a user.

[1281] "Style" refers to the style and atmosphere of the content desired by the user.

[1282] A "face photo" refers to an image of the user's face.

[1283] "Original content" refers to unique content generated based on user input data.

[1284] "Emotion engine" refers to technology for analyzing a user's emotional state from a facial photograph.

[1285] "Generative AI" refers to AI technology that generates content based on user input data and emotional state.

[1286] "Preference data" refers to data such as a user's preferences, interests, and emotional state.

[1287] "Promotional information" refers to information intended to promote the sale of products or services.

[1288] "Specific conditions" refer to criteria set based on the user's preference data and behavioral history.

[1289] "Terminal" refers to a device used by a user, such as a smartphone or computer.

[1290] "Form data" refers to a data format for structuring information entered by a user and sending it to a server.

[1291] "Validation" refers to the process of checking the accuracy and completeness of data entered by a user.

[1292] "Server" refers to a computer system for receiving and processing user input data.

[1293] The present invention is a system that analyzes the emotional state of a user based on input data and generates original content accordingly. This system is realized using the following main hardware and software.

[1294] First, the user enters information such as occupation, name, style, and face photo via a device such as a smartphone or PC. This input data is sent to the server as structured form data. The server is built using the Flask framework, and upon receiving the user's input data, it validates its contents. If validation is successful, the server then uses an emotion engine to analyze the user's emotions based on the received face photo data. This emotion engine extracts features from the face photo and identifies the user's emotional state (happiness, surprise, sadness, etc.).

[1295] Based on the analysis results of the emotion engine, the server calls a generative AI model to generate original content (for example, manga). The generative AI model automatically generates content based on the user's occupation, name, style, and emotional state, and adjusts the content according to the user's emotions. For example, if the user expresses joy, it generates a manga that emphasizes a positive storyline and colors. The generated manga is sent as data from the server to the user's device and displayed on the device screen.

[1296] Furthermore, the server stores the user's input data, information about the generated original content, and the analysis results of the emotion engine as preference data. This preference data will be used later to deliver targeted advertising. Specifically, promotional and event information based on the user's occupation, interests, and emotional state will be sent to the user, for example, via a messaging service.

[1297] Specific examples

[1298] For example, if a user enters information that includes "student," "Suzuki Taro," "anime-style," and "surprise," the server receives this data and recognizes the emotion of "surprise" using its emotion engine. It then uses generative AI to generate an anime-style manga depicting Suzuki Taro's school life. The generated manga has a story based on the theme of surprise and is displayed on the user's smartphone. During this process, the server saves the data "Suzuki Taro," "student," "anime-style," and "surprise" for use in future marketing activities.

[1299] In this way, the present invention realizes the generation of personalized content according to input data and emotional state, and the effective delivery of targeted advertisements based on the content.

[1300] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1301] Step 1:

[1302] The user uses a terminal to input information such as occupation, name, style, and face photo. In this process, the data provided by the user is structured in a form. The input data (occupation, name, style, and face photo) is processed on the terminal and sent to the server.

[1303] Step 2:

[1304] The server receives input data submitted by the user. This data includes occupation, name, style, and photo, and the server validates this data. Validation checks whether the data is complete and accurate. It verifies that the input data (occupation, name, style, photo) is accurate and complete.

[1305] Step 3:

[1306] The server uses an emotion engine to analyze the facial photo data. The facial photo data is input to the emotion engine, which extracts features from the facial photo and recognizes the user's emotional state. For example, the emotion engine determines whether the user is expressing emotions such as happiness, surprise, or sadness. The emotional state (happiness, surprise, sadness, etc.) is output.

[1307] Step 4:

[1308] After validation is successful and emotion analysis by the emotion engine is complete, the server calls the generative AI model. The generative AI model receives data such as occupation, name, style, and emotional state as input, and generates original content (e.g., manga) based on this. The generative AI model generates content based on the input data, adjusting it according to the user's emotional state. The generated content (manga) is then output.

[1309] Step 5:

[1310] The generated original content is sent from the server to the user's device. The device displays the original content on the screen based on the received data. The content data is input into the user's device and displayed on the screen, allowing the user to enjoy the original manga.

[1311] Step 6:

[1312] The server stores the user's input data, the generated original content, and the analysis results of the emotion engine as preference data. This preference data will be used later to deliver targeted advertisements. The user's data (occupation, name, style, emotional state, and information on the generated content) is stored. The preference data will be used to deliver advertisements, and promotional information will be sent to the user based on specific conditions.

[1313] 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.

[1314] 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.

[1315] 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.

[1316] 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.

[1317] 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.

[1318] 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.

[1319] 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).

[1320] 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.

[1321] 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."

[1322] 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.

[1323] 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).

[1324] 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.

[1325] 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.

[1326] 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.

[1327] 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.

[1328] 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.

[1329] 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.

[1330] 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.

[1331] 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.

[1332] 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.

[1333] 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.

[1334] The following is further disclosed regarding the above embodiment.

[1335] (Claim 1)

[1336] a first means for receiving input data from a user and generating original content based on the user's occupation, name, style, and face photo;

[1337] a second means for invoking a generating artificial intelligence to generate the original content;

[1338] a third means for displaying the generated original content;

[1339] a fourth means for storing user preference data and sending promotional information based on specific conditions;

[1340] A system including:

[1341] (Claim 2)

[1342] 10. The system of claim 1, further comprising means for validating user input data.

[1343] (Claim 3)

[1344] 2. The system according to claim 1, further comprising means for receiving input data from a user's terminal and transmitting the data to the server as form data.

[1345] "Example 1"

[1346] (Claim 1)

[1347] a data acquisition means for receiving input data from a user and generating original content based on the user's occupation, name, style, and face photo;

[1348] means for invoking a generative artificial intelligence model to generate the original content;

[1349] a display means for displaying the generated original content;

[1350] data storage means for storing user preference data and sending promotional information based on specific conditions;

[1351] A system including:

[1352] (Claim 2)

[1353] 10. The system of claim 1, further comprising means for validating the user input data.

[1354] (Claim 3)

[1355] 2. The system according to claim 1, further comprising means for receiving input data from the user's terminal and transmitting the data as form data to a server.

[1356] "Application Example 1"

[1357] (Claim 1)

[1358] a first means for receiving input data from a user and generating original content based on the user's occupation, name, style, and face photo;

[1359] a second means for invoking a generating artificial intelligence to generate the original content;

[1360] a third means for displaying the generated original content;

[1361] a fourth means for storing user preference data and sending promotional information based on specific conditions;

[1362] a fifth means for generating personalized advertising content for the user;

[1363] a sixth means for displaying personalized advertising content on the user's terminal;

[1364] A system including:

[1365] (Claim 2)

[1366] 10. The system of claim 1, further comprising means for validating user input data.

[1367] (Claim 3)

[1368] 2. The system according to claim 1, further comprising means for receiving input data from a user's terminal and transmitting the data to the server as form data.

[1369] "Example 2: Combining Emotion Engines"

[1370] (Claim 1)

[1371] a first means for receiving input data from a user and generating original content based on the user's occupation, name, style, and face photo;

[1372] a second means for invoking a generating artificial intelligence to generate the original content;

[1373] a third means for displaying the generated original content;

[1374] a fourth means for storing user preference data and sending promotional information based on specific conditions;

[1375] means for analyzing an emotional state from input data of a user using an emotion analysis engine;

[1376] means for adjusting the content of the original content in response to the analyzed emotional state;

[1377] A system including:

[1378] (Claim 2)

[1379] 10. The system of claim 1, further comprising means for validating user input data.

[1380] (Claim 3)

[1381] 2. The system according to claim 1, further comprising means for receiving input data from a user's terminal and transmitting the data to the server as form data.

[1382] "Application example 2 when combining emotion engines"

[1383] (Claim 1)

[1384] a first means for receiving input data from a user and generating original content based on the user's occupation, name, style, and face photo;

[1385] an emotion engine for analyzing the emotional state of the user;

[1386] a second means for invoking a generating artificial intelligence to generate the original content;

[1387] a third means for displaying the generated original content;

[1388] a fourth means for storing user preference data and sending promotional information based on specific conditions;

[1389] A system including:

[1390] (Claim 2)

[1391] 10. The system of claim 1, further comprising means for validating user input data.

[1392] (Claim 3)

[1393] 2. The system according to claim 1, further comprising means for receiving input data from a user's terminal and transmitting the data to the server as form data. [Explanation of symbols]

[1394] 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. a first means for receiving input data from a user and generating original content based on the user's occupation, name, style, and face photo; a second means for invoking a generating artificial intelligence to generate the original content; a third means for displaying the generated original content; a fourth means for storing user preference data and sending promotional information based on specific conditions; A system including:

2. 10. The system of claim 1, further comprising means for validating user input data.

3. 2. The system according to claim 1, further comprising means for receiving input data from a user's terminal and transmitting the data to the server as form data.

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