system

Abstract

Provide a system. A means for acquiring personal information and contract information of a user; A means for analyzing the acquired data and generating a scenario suitable for the user; A means for generating a manga with the user as the main character based on the generated scenario; A means for transmitting the generated manga to the user's device; A means for users to view the submitted manga; A system including:

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 order to provide optimal services and models to a large number of users, modern telecommunications carriers are required to understand users' contract information and usage status and make individual proposals based on that information. However, traditional methods often involve sending proposals to users in the form of general messages, making it difficult to capture their interest. It is also difficult to smoothly provide personalized proposals that reflect individual information. In particular, providing visual content that attracts users' attention would improve understanding and acceptance of the proposals, but there is a problem in that there is no efficient way to achieve this. [Means for solving the problem]

[0005] The present invention solves the above problems by providing a system that includes: means for acquiring a user's contract information and personal information; means for analyzing the acquired information to generate a scenario suited to the user; means for generating a manga with the user as the main character based on the generated scenario; means for transmitting the generated manga to the user's terminal; and means for the user to view the transmitted manga. This system allows users to receive recommendations for optimal services and models through visually appealing manga based on their own interests, thereby improving their understanding and acceptance of the recommendations.

[0006] "User" means an individual or legal entity that uses the services of a telecommunications carrier.

[0007] "Personal information" refers to information that can identify a specific individual, such as a user's name, age, gender, address, and contact information.

[0008] "Contract information" refers to information about the contract that a user has with a telecommunications carrier, including the model of device used, the period of use, and the communication plan.

[0009] A "scenario" is a script that includes appropriate suggestions for a user and is generated based on the user's personal information and contract information.

[0010] "Manga" is a series of illustrations that tell a visual story based on a scenario with the user as the main character.

[0011] "Terminal" means a device used by a user to access the services of a telecommunications carrier, including smartphones, tablets, and personal computers.

[0012] "Transmission" is the act of delivering data or content to a user's device.

[0013] "Analysis" is the process of extracting specific patterns and trends from acquired data and converting them into meaningful information.

[0014] "Generation" is the act of using analyzed information to create new content or data.

[0015] "Viewing" means the act of a user visually checking transmitted content using a terminal. [Brief explanation of the drawings]

[0016] [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

[0017] 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.

[0018] First, the terms used in the following description will be explained.

[0019] 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).

[0020] 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.

[0021] 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.

[0022] 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.

[0023] 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."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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."

[0037] This system acquires a user's contract information and personal information, analyzes that information, creates a scenario suited to the user, and then generates a manga based on that scenario with the user as the main character, which is then sent to the user's device. This system allows the user to receive recommendations for optimal services and models in the form of a visually appealing manga.

[0038] Retrieving User Data

[0039] The server connects to the carrier's database to obtain the user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and communication plan.

[0040] Generate a scenario

[0041] The server analyzes the acquired user data and generates individual scenarios based on the user's interests and current usage. For example, if a user frequently uses apps such as YouTube (registered trademark) and Instagram, a scenario will be generated suggesting the latest smartphones with high-resolution cameras and large-capacity batteries.

[0042] Manga Generation

[0043] Based on the generated scenario, the server generates a manga with the user as the main character. In this process, AI is used to create manga panels (scenes) based on the scenario. For example, scenes depicting the user holding a smartphone or using a recommended model may be depicted.

[0044] Direct mail delivery

[0045] The server then sends the generated manga to the user's device as a direct mail, which is sent via the Internet and is delivered to the user quickly.

[0046] View users

[0047] The device opens the received DM and displays a manga, in which the user appears as the main character, allowing the user to visually enjoy information about the proposed model or service.

[0048] Specific examples

[0049] User contract information

[0050] Name: Yamada Ichiro

[0051] Age: 35

[0052] Current device: Smartphone A

[0053] Usage period: 3 years

[0054] Frequently used apps: Video viewing app B, SNS app C

[0055] Data plan: 50GB per month

[0056] Processing flow

[0057] 1. The server connects to the database and retrieves Yamada Ichiro's contract information, including the current model of device he is using, the period of use, frequently used apps, and his data plan.

[0058] 2. The server analyzes the acquired data and generates a scenario in which a new smartphone B featuring a high-resolution camera and a large-capacity battery is suggested based on Yamada Ichiro's frequent use of video viewing app B and social networking app C.

[0059] 3. The server uses the AI ​​image generation model to generate a manga based on a scenario in which Ichiro Yamada plays the main character. For example, the first panel might show Ichiro Yamada using his current smartphone, the second panel might show him introducing new smartphone B, and the third panel might show him using new smartphone B to enjoy video viewing app B and social networking app C.

[0060] 4. The server sends the generated manga to Yamada Ichiro's device as a direct mail. It is quickly delivered via the Internet.

[0061] 5. The device will display the received DM, and Yamada Ichiro can open it and read the manga in which he is the main character. This will deepen his understanding and interest in the proposed model and service.

[0062] As a result, the present invention can provide users with individually optimized content in a visually appealing format, thereby improving the effectiveness of carrier service offerings.

[0063] The processing flow will be explained below.

[0064] Step 1:

[0065] The server connects to the carrier's database and retrieves the specific user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and communication plan.

[0066] Step 2:

[0067] The server analyzes the acquired user data. For example, if the user is in their 30s and frequently uses video viewing apps, it determines that a newer model with a long battery life and a high-resolution camera is suitable.

[0068] Step 3:

[0069] Based on the analysis results, the server generates a scenario suited to the user. The scenario content not only introduces specific models, but also suggests new ways to use and lifestyles using those models. For example, it generates a message that reads, "Using new model B will make watching videos even more comfortable."

[0070] Step 4:

[0071] Based on the generated scenario, the server uses an AI image generation model to generate a manga. The manga includes scenes of the user using their current smartphone as well as scenes of them using a new model more conveniently. Specifically, the first frame depicts the user using their current model, the second frame introduces the new model, and the third frame depicts a scene of using the new model.

[0072] Step 5:

[0073] The server sends the generated manga to the user's device as a direct message (DM). This sending process includes distributing the DM via the Internet using the user's contact information (e.g., email address and phone number).

[0074] Step 6:

[0075] The device opens the received DM and displays the contents. The user interface is intuitive and designed to make it easy to read the manga-style DM.

[0076] Step 7:

[0077] By reading the DM, users can enjoy a manga in which they appear as the main character. In the process, information about the proposed models and services is conveyed visually and in an easy-to-understand manner, deepening users' understanding and interest in the proposed content.

[0078] Through these steps, users can receive information about products and services that are best suited to them through visually appealing manga-style direct mail, which attracts users' attention and contributes to promoting the use of services and products.

[0079] Example 1

[0080] 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."

[0081] Conventional user service suggestion systems have the problem of being unable to provide visually appealing content that is optimized for each individual user, which can lead to users not being interested in the suggestions, making it difficult to provide effective services or recommend products.

[0082] 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.

[0083] In this invention, the server includes means for acquiring personal information and contract information of a user, means for analyzing the acquired data to generate a scenario suitable for the user, means for generating visual media featuring the user as the protagonist based on the generated scenario, means for using a generative AI model used in generating the visual media, means for transmitting the generated visual media to the user's communication device, and means for the user to view the transmitted visual media, thereby making it possible to visually provide attractive content that is individually optimized for the user.

[0084] "User" refers to a customer who uses the system to provide personal information and contract information.

[0085] "Personal information" refers to information that identifies a specific individual, such as a user's name, age, or gender.

[0086] "Contract information" refers to information such as the service content that the user has subscribed to, the equipment used, the period of use, and the communication plan.

[0087] A "scenario" refers to a story that includes optimal suggestions for the user, created by analyzing the personal information and contract information acquired.

[0088] "Visual Media" refers to comic book-style and other visually-presented content that features the user as the protagonist.

[0089] "Generative AI model" refers to an artificial intelligence model used to generate scenarios or visual media.

[0090] "Communication device" refers to communication terminals used by users, such as smartphones, tablets, and personal computers.

[0091] "Means of acquisition" refers to the method by which the server collects users' personal information and contract information through a database or API.

[0092] "Means for analysis" refers to the method, analysis tools, and algorithms used by the server to analyze collected data and generate scenarios.

[0093] "Means for generating" refers to the method by which the server uses the generative AI model to create the visual media.

[0094] "Means for transmitting" refers to the method for transmitting the generated visual media to a user's communication device over the Internet or other communication means.

[0095] "Means for viewing" refers to the application or functionality that allows a user to view and view the received visual media.

[0096] This system consists of a series of steps: acquiring the user's personal information and contract information, analyzing the acquired data to generate an optimal scenario for the user, generating visual media with the user as the protagonist based on that scenario, and sending the generated visual media to the user's communication device.

[0097] Hardware and software used

[0098] The following hardware and software are required to implement this system.

[0099] server

[0100] Communication devices (smartphones, tablets, computers, etc.)

[0101] Database (storing user personal information and contract information)

[0102] Generative AI models (AI models for generating visual media)

[0103] Retrieving User Data

[0104] The server connects to the carrier's database using API or SQL queries to obtain the user's personal information and contract information, including the user's name, age, gender, device used, period of use, frequently used applications, and communication plan.

[0105] Generate a scenario

[0106] The server analyzes the acquired user data and generates individual scenarios based on the user's interests and current usage. This analysis uses data mining techniques and machine learning algorithms, and a generative AI model is used to generate the scenario. At this point, a prompt for scenario generation is input into the AI ​​model. For example, the prompt could be, "A 35-year-old user frequently uses video viewing apps and social media apps. Please generate a scenario that suggests a smartphone with a high-resolution camera and a large battery capacity."

[0107] Visual Media Generation

[0108] Based on the generated scenario, the server generates visual media (such as manga) with the user as the main character. Each frame of this visual media contains a scene and dialogue (dialogue). Specifically, it depicts a scene in which the user uses their current smartphone, a scene introducing their new smartphone, a scene in which they use the new smartphone, etc.

[0109] Direct mail delivery

[0110] The server then sends the generated visual media as a digital message (DM) to the user's communication device. This transmission is done over the Internet and is transmitted quickly using the HTTP protocol. The server also checks the status of the transmission and logs whether it was delivered correctly.

[0111] View users

[0112] The communication device notifies the user of the received DM. The user opens the DM and launches an application to display the visual media. This allows the user to read the visual media, in which they appear as the main character, and enjoy information about the suggested communication devices and services.

[0113] As a concrete example, the following prompt sentences can be input to a generative AI model:

[0114] "Generate a scenario where a 35-year-old user frequently uses video viewing apps and social media apps, and suggests a smartphone with a high-resolution camera and a large battery capacity."

[0115] "Generate a scenario where a user is using a new smartphone."

[0116] As a result, the system can provide users with visually appealing content and increase engagement.

[0117] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0118] Step 1: Get User Data

[0119] The server connects to the carrier's database and retrieves the user's personal information and contract information. An API endpoint or SQL query is used as input. Specifically, the server sends an API request to the database and retrieves data such as name, age, gender, device used, period of use, frequently used apps, and communication plan. The retrieved information is sent to the server in JSON or XML format and stored in temporary storage.

[0120] Step 2: Generate a scenario

[0121] The server analyzes the acquired user data and generates the optimal scenario for the user. The user data acquired in step 1 is used as input. Specifically, the server uses data analysis software (e.g., a Python data analysis library) to analyze the user's app usage frequency and communication plan. Next, a prompt for scenario generation is input into the generative AI model. For example, "A 35-year-old user frequently uses video viewing apps and social networking apps, so please generate a scenario that suggests a smartphone with a high-resolution camera and a large-capacity battery." The output is the optimal scenario for the user in text format.

[0122] Step 3: Generate visual media

[0123] Based on the generated scenario, the server generates visual media (manga) with the user as the main character. The scenario generated in step 2 is used as input. Specifically, the server calls the generative AI model, inputs the scenario text, and generates multiple manga panels. At this time, scenes and dialogue (dialogue) are automatically generated. As output, each panel is generated as an image file, forming a series of manga pages.

[0124] Step 4: Sending direct mail

[0125] The server sends the generated visual media as a direct mail to the user's communication device. The manga image file generated in step 3 is used as input. Specifically, the server uses an email sending service or messaging API (e.g., SMTP server, push notification service) to send the direct mail over the Internet. The output is the visual media sent to the user's communication device.

[0126] Step 5: View Users

[0127] The device notifies the user of the received DM. As input, the DM sent in step 4 is received. As a specific operation, the communication device displays a new message notification to notify the user of the arrival of the DM. The user opens the DM and launches an application to display the visual media. As output, the user can view the visual media in which they appear as the main character and obtain information about the proposed communication device and services.

[0128] The above series of steps allows us to provide users with individually optimized and visually appealing content.

[0129] (Application example 1)

[0130] 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."

[0131] With conventional advertising methods, it has been difficult to effectively deliver advertisements that are optimized for individual user interests. As a result, the effectiveness of advertisements has been limited, making it difficult to attract users' attention. In addition, there has been a lack of ways to deliver advertisements in a visually appealing format, and there has been a demand for effective advertising methods, especially for users using mobile devices.

[0132] 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.

[0133] In this invention, the server includes means for acquiring personal information and contract information of a user, means for analyzing the acquired data to generate a scenario suited to the user, means for generating a manga with the user as the main character based on the generated scenario, means for transmitting the generated manga to the user's terminal, means for the user to view the transmitted manga, means for generating advertising content as a scenario based on the analysis results, and means for generating an advertising manga based on the generated advertising scenario. This makes it possible to effectively provide visually appealing advertising manga based on the user's interests and concerns.

[0134] "User personal information" refers to information about an individual, such as the user's name, age, gender, address, and contact details.

[0135] "Contract information" refers to information such as the services and plans subscribed to by the user, the model used, the period of use, and frequently used apps.

[0136] "Means of analyzing data" refers to methods and algorithms for analyzing users' interests and concerns based on the acquired personal information and contract information of users.

[0137] "Scenario generation means" refers to a method for creating stories and proposals that are appropriate for users based on analyzed data.

[0138] "Means for generating manga" refers to a method of using AI models, etc. to create visual manga-style content based on a generated scenario.

[0139] "Means for sending to the terminal" refers to a method for distributing the generated manga to the user's terminal via the Internet.

[0140] "Means of viewing" refers to the method by which a user visually checks the manga sent through the device.

[0141] "Means for generating advertising content as a scenario" refers to a method for creating an advertising scenario for a product or service that is optimal for the user based on the analysis results.

[0142] The "means for generating advertising manga" is a method for creating visually appealing advertising manga based on the generated advertising scenario.

[0143] This system acquires a user's personal information and contract information, analyzes them to generate a scenario suited to the user, generates a manga with the user as the main character based on the scenario, and then transmits the manga to the user's device. In particular, the system aims to effectively deliver visually appealing advertisements to users by providing advertising content based on the analysis results in manga format.

[0144] The system includes the following means:

[0145] 1. Means of obtaining user personal information and contract information

[0146] The server connects to the carrier's database and obtains the user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and data plan.

[0147] 2. A means of analyzing the acquired data and generating scenarios suitable for the user

[0148] The server analyzes the acquired data and generates a personalized scenario based on the user's interests and current usage. For example, if the user frequently uses fitness-related apps, a scenario suggesting fitness supplements and training equipment will be generated.

[0149] 3. A method for generating a manga with the user as the main character based on the generated scenario

[0150] Based on the generated scenario, the server uses the AI ​​model to create manga panels (scenes), such as a scene depicting a user trying out a new fitness supplement or using training equipment.

[0151] 4. How to send the generated manga to the user's device

[0152] The server quickly transmits the generated manga to the user's device via the Internet, allowing the user to receive recommended products and services in a visually appealing format.

[0153] 5. How users can view the manga they have sent

[0154] The device opens the received DM, allowing the user to read a manga in which they appear as the main character, deepening their understanding and interest in the proposed product or service.

[0155] As a concrete example, consider a case where user ID "Yamada Ichiro" is interested in fitness. The server generates a manga with the story "Yamada Ichiro tries a new fitness supplement" and sends it to the user's device. An example of this prompt is as follows:

[0156] User ID = "Yamada Ichiro"

[0157] Generate a manga for the story "Ichiro Yamada tries a new fitness supplement"

[0158] In this way, the present invention can provide advertising content optimized to the user's interests and concerns in a visually appealing format, thereby increasing the effectiveness of advertising.

[0159] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0160] Step 1:

[0161] The server connects to the carrier's database and obtains the user's personal information and contract information. Specifically, it obtains data such as the user's name, age, gender, model used, period of use, frequently used apps, and communication plan. The input for this step is the user's ID, and the output is the obtained user's personal information and contract information.

[0162] Step 2:

[0163] The server analyzes the acquired data. First, it analyzes the user's interests and concerns, and then generates an individual scenario based on the user's current usage. For example, if the user frequently uses a fitness app, it generates a scenario that suggests fitness supplements and training equipment. The input of this step is the user's personal information and contract information acquired in step 1, and the output is a scenario appropriate for the user.

[0164] Step 3:

[0165] Based on the generated scenario, the server uses an AI model to generate a manga with the user as the main character. Specifically, it automatically creates manga panels (scenes) that fit the scenario. For example, a scene in which the user is trying out a new fitness supplement. The input for this step is the scenario generated in step 2, and the output is the generated manga.

[0166] Step 4:

[0167] The server sends the generated manga to the user's device via the Internet. Specifically, it sends the generated manga data to the user's email address or a dedicated app. The input for this step is the manga generated in step 3, and the output is the manga sent to the user's device.

[0168] Step 5:

[0169] The device displays the received manga. The user opens the DM on the device and reads the manga in which they appear as the main character. This deepens their understanding and interest in the proposed product or service. The input to this step is the manga sent in step 4, and the output is the manga displayed on the device.

[0170] Through the above processing steps, advertisements that interest each individual user can be effectively delivered in comic format, maximizing the effectiveness of the advertisements.

[0171] 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.

[0172] This invention provides a system that acquires a user's personal information and contract information, analyzes that information to generate a scenario suited to the user, and then generates a manga with the user as the main character based on that scenario and sends it to the user's device. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the system can adjust the scenario based on the user's emotions, allowing for more personalized suggestions.

[0173] Retrieving User Data

[0174] The server connects to the carrier's database to obtain the user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and data plan.

[0175] Generate a scenario

[0176] The server analyzes the acquired user data and generates individual scenarios based on the user's interests and current usage. Furthermore, the emotion engine takes into account the emotional data recognized through the user's input and reactions, and adjusts the scenario accordingly. For example, if the server determines that the user is feeling stressed, it generates a scenario that includes suggestions for apps and services that have a relaxing effect.

[0177] Manga Generation

[0178] The server generates a manga with the user as the main character based on the generated scenario. In this process, AI is used to create manga panels (scenes) based on the scenario. For example, it could depict a scene in which the user is holding their current smartphone or a scene in which they are using a new model more conveniently. It can also change the tone and story development of the manga based on emotions.

[0179] Direct mail delivery

[0180] The server then sends the generated manga to the user's device as a direct mail, which is sent via the Internet and is delivered to the user quickly.

[0181] View users

[0182] The device opens the received DM and displays its contents. By reading the manga in which the user appears as the main character, the user can visually enjoy information about the proposed models and services.

[0183] Specific examples

[0184] User contract information

[0185] Name: Yamada Ichiro

[0186] Age: 35

[0187] Current device: Smartphone A

[0188] Usage period: 3 years

[0189] Frequently used apps: Video viewing app B, SNS app C

[0190] Data plan: 50GB per month

[0191] Emotion recognition example

[0192] Emotional state: Stress

[0193] Inputs and reactions: Lots of unread messages, frequently used relaxation apps

[0194] Processing flow

[0195] 1. The server connects to the database and retrieves Yamada Ichiro's contract information, including the current model of device he is using, the period of use, frequently used apps, and his data plan.

[0196] 2. The server analyzes the acquired data and determines that Yamada Ichiro frequently uses video viewing app B and social media app C. At the same time, the emotion engine recognizes Yamada Ichiro's stress level and generates a scenario that suggests apps and services that have a relaxing effect.

[0197] 3. Based on the generated scenario, the server generates a manga in which Yamada Ichiro plays the main character. For example, the first panel might show Yamada Ichiro using his current device, the second panel might introduce a new device, and the third panel might show him using a relaxation app on the new device.

[0198] 4. The server sends the generated manga to Yamada Ichiro's device as a direct mail. It is quickly delivered via the Internet.

[0199] 5. After opening the DM received on the device, Ichiro Yamada reads it and enjoys the manga in which he is the main character. Through this process, he deepens his understanding and interest in the proposed relaxation app and new device.

[0200] As a result, the present invention can provide users with individually optimized content in a visually appealing format, improving the effectiveness of service offers from carriers. Personalized offers based on user sentiment further enhance the user experience.

[0201] The processing flow will be explained below.

[0202] Step 1:

[0203] The server connects to the carrier's database and retrieves the specific user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and communication plan.

[0204] Step 2:

[0205] The server uses an emotion engine to acquire emotion data from the user's device. The emotion engine analyzes the user's input and reactions, such as frequently used apps, number of unread messages, and time of day, to recognize the user's emotional state.

[0206] Step 3:

[0207] The server analyzes the acquired user data and emotional data. For example, if a user frequently uses a video viewing app and the emotion engine detects a state of stress, it generates a scenario to suggest apps and services that have a relaxing effect.

[0208] Step 4:

[0209] Based on the analysis results, the server generates a scenario tailored to the user, including content based on the user's usage patterns and emotional state, such as a suggestion for a new smartphone using a relaxation app.

[0210] Step 5:

[0211] The server then uses an AI image generation model to generate a manga based on the generated scenario. The manga includes scenes of the user using their current smartphone, introducing a new model, and using a relaxation app on the new model.

[0212] Step 6:

[0213] The server then sends the generated manga to the user's device as a direct mail, which is sent via the Internet for fast delivery.

[0214] Step 7:

[0215] The device opens the received DM and displays the contents. The user interface is intuitive and designed to make it easy to read the manga-style DM.

[0216] Step 8:

[0217] By reading the DM, users can enjoy the manga in which they appear as the main character, and in the process, they will gain a deeper understanding and interest in the proposed relaxation app or new device.

[0218] Through these steps, users can receive information about products and services that are best suited to them through visually appealing manga-style direct mail, which attracts users' attention and contributes to promoting the use of services and products. The introduction of an emotion engine enables personalized suggestions based on the user's emotional state, resulting in a better user experience.

[0219] Example 2

[0220] 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."

[0221] Conventional recommendation systems have difficulty providing personalized content because they do not fully consider the user's interests and emotions. In particular, the lack of suggestions based on the user's emotions has led to a lack of improvement in the user experience.

[0222] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0223] In this invention, the server includes means for acquiring personal information and contract information of a user, means for analyzing the acquired data to generate a scenario suited to the user, and means for using a generative AI model to generate visual content featuring the user as the protagonist based on the generated scenario, thereby enabling the rapid provision of visual content including personalized suggestions based on the user's emotions and usage status.

[0224] "User personal information" refers to individual attribute information such as the user's name, age, and gender.

[0225] "Contract information" refers to information about the contract a user has with a telecommunications carrier, specifically the device used, communication plan, period of use, etc.

[0226] "Means of retrieval" refers to the process or method by which the server accesses the database and retrieves the required information.

[0227] "Means of analysis" refers to the technology and process for analyzing acquired user data and generating scenarios based on the user's interests and concerns.

[0228] A "generative AI model" is an artificial intelligence model used for natural language processing and image generation, and refers to a tool for generating visual content based on a given scenario.

[0229] "Visual content" refers to comics and other image-based media that feature the user as the main character.

[0230] "Transmission Means" refers to the technology or method for transmitting the generated visual content to the user's device.

[0231] "Means for viewing" refers to the device or application that allows a User to view and review the received visual content.

[0232] "Device in use" refers to the device currently being used by the user, specifically a smartphone, tablet, etc.

[0233] "Continuous period of use" refers to the period during which a user uses a particular device or communication plan.

[0234] "Application Usage Frequency" refers to data that indicates how frequently users use each application.

[0235] The present invention is a system that analyzes a user's personal information and contract information, generates a scenario suitable for the user, and generates visual content with the user as the main character based on the scenario. This system includes elements of a server, a terminal, and the user.

[0236] First, the server connects to a database management system (e.g., MySQL®, Oracle Database) to retrieve the user's personal information and contract information from the carrier's database. The data is retrieved using SQL queries and saved in JSON format. The retrieved personal information includes name, age, and gender, while contract information includes the device used, communication plan, and usage period.

[0237] The server then uses a Python®-based data analysis library (e.g., Pandas) to analyze the acquired data. This analysis allows the server to understand the user's interests and current usage status. It also uses the Google® Cloud Natural Language API for emotion recognition to acquire the user's emotional data. This data is acquired through the user's input and reactions, and is used to generate a scenario with a relaxing effect if, for example, stress is detected.

[0238] After the scenario is generated, the server uses a generative AI model (e.g., OpenAI's GPT-4®) to generate the scenario as a sentence. This sentence is used as a prompt for the visual content. Once the prompt is prepared, a render engine (e.g., Blender, Unity) is used to generate the visual content (e.g., manga panels) in image format. In this generation process, the user is depicted as the main character.

[0239] The generated visual content is then sent by the server to the user's device using the SMTP protocol and an API for in-app notifications, which allows for fast delivery.

[0240] The user's device will open the received DM and display the contents. Many devices use HTML5-compatible browsers to display the visual content, allowing the user to visually enjoy the content in which they themselves appear as the main character.

[0241] Specific examples

[0242] User contract information

[0243] Name: Taro Tanaka

[0244] Age: 30

[0245] Current device: Smartphone XYZ

[0246] Usage period: 2 years

[0247] Frequently used apps: Movie viewing app ABC, SNS app DEF

[0248] Data plan: 100GB per month

[0249] Emotion recognition example

[0250] Emotional state: Stress

[0251] Input and response: Frequent use of relaxation apps

[0252] Prompt Sentence Examples

[0253] "Taro Tanaka (age 30, smartphone XYZ, used for 2 years) has been feeling stressed recently. Since he frequently uses movie viewing app ABC and social media app DEF, generate a scenario suggesting a new smartphone and relaxation app to use to reduce stress, and create visual content with him as the main character."

[0254] In this way, the system of the present invention is able to provide users with personalized and visually appealing content by combining advanced data analysis and emotion recognition techniques.

[0255] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0256] Step 1: Obtaining user personal and contract information

[0257] The server connects to the carrier's database and retrieves the user's personal information and contract information. Specifically, it retrieves data by executing an SQL query on a database management system (e.g., MySQL, Oracle Database). The input is the database connection information and user ID, and the output is the user's name, age, gender, device used, period of use, frequently used apps, and communication plan information in JSON format.

[0258] Step 2: Analyze user data

[0259] The server uses an analysis engine (e.g., Pandas, a Python-based data analysis library) to analyze the acquired user data. The input is the JSON-formatted user data acquired in step 1, and the output is the user's interests, current usage, and emotional data. Specifically, the server performs data analysis and pattern recognition to extract the user's interests and usage trends.

[0260] Step 3: Obtaining emotion data

[0261] The server uses an emotion engine (e.g., Google Cloud Natural Language API) to obtain the user's emotional data. The input is the user's input and reactions, and by analyzing this, the output is the user's emotional state (e.g., stress, relaxation). Specific operations include analyzing text data and evaluating behavioral patterns.

[0262] Step 4: Generate a scenario

[0263] The server generates an optimal scenario for the user based on the acquired and analyzed data. The input is user data and emotional data, and the output is a scenario in the form of a prompt sentence. This scenario is customized based on the user's emotions and interests. Specifically, the scenario is automatically generated using a text generation engine.

[0264] Step 5: Generate visual content

[0265] The server uses a generative AI model (e.g., OpenAI's GPT-4) to generate visual content (e.g., manga panels) given a scenario as an input prompt. The input is the prompt text generated in step 4, and the output is a visualized manga panel. Specifically, the AI ​​model performs a text-to-image conversion process.

[0266] Step 6: Sending direct mail

[0267] The server sends the generated visual content to the user's device in the form of a direct message (email or in-app notification). The input is the visual content generated in step 5, and the output is the direct message delivered to the user's device. The specific operation involves the process of sending emails or notification messages using the SMTP protocol or API.

[0268] Step 7: View Users

[0269] The device opens the received DM and displays the visual content. The input is the received DM, and the output is a manga that the user can enjoy visually. Specifically, the DM is displayed in an HTML5-compatible browser. The user can visually enjoy a manga in which they appear as the main character.

[0270] The above are the specific processing steps of the program in this system.

[0271] (Application example 2)

[0272] 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."

[0273] Current content delivery services lack the ability to provide personalized content based on individual users' interests and emotions. This hinders the improvement of user experience and leads to problems such as a decline in service usage frequency and satisfaction. Conventional methods make it difficult to effectively utilize user emotions and real-time data, and in particular, have not been able to achieve advanced personalization that reflects changes in user emotions.

[0274] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0275] In this invention, the server includes means for acquiring personal information and contract information of a user, means for analyzing the acquired data to generate a scenario suited to the user, means for generating story-style content with the user as the protagonist based on the generated scenario, means for transmitting the generated content to the user's mobile communication terminal device, means for the user to view the transmitted content, and means for recognizing the user's emotions and adjusting the scenario based on those emotions, thereby making it possible to provide personalized and attractive content that matches the user's emotions and interests.

[0276] "User personal information" refers to data that identifies an individual, such as the user's name, age, and gender.

[0277] "Contract information" refers to data relating to the contents of the contract a user has with a telecommunications carrier, including information such as the communication plan and model used, and the contract period.

[0278] A "scenario" refers to the story development and structure of the content provided to users, and is generated based on the user's interests and emotions.

[0279] "Story-based content" refers to content that unfolds in the form of a story with the user as the main character, and includes formats such as manga and novels.

[0280] A "mobile communication terminal device" refers to an information device, such as a smartphone or tablet, that allows communication even while on the move.

[0281] "Means of recognizing emotions" refers to technologies and systems that can identify a user's emotions at any given time from their facial expressions, behavior, input data, etc.

[0282] "Means for adjusting scenarios based on emotions" refers to technologies and systems that change and optimize the content and tone of scenarios based on user emotional data.

[0283] This invention is a system that acquires a user's personal information and contract information, analyzes that information, and generates a scenario suited to the user. The system also generates story-style content with the user as the main character and transmits it to the user's mobile communication terminal. The system also has the function of recognizing the user's emotions and adjusting the scenario based on those emotions.

[0284] The specific configuration includes the following main components:

[0285] 1. Obtaining user data

[0286] The server connects to the carrier's database and obtains the user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and data plan.

[0287] 2. Acquiring Emotion Data

[0288] Using an emotion recognition engine (such as Emotion SDK) installed in a mobile communication terminal device (such as a smartphone), emotions are analyzed from the user's facial expressions, behavior, and input data.

[0289] 3. Scenario generation

[0290] The server analyzes the acquired user data and emotional data, and generates individual scenarios using a scenario generation algorithm built with Python and TENSORFLOW (registered trademark).

[0291] Adapt the scenario taking into account data obtained through emotion recognition (for example, if the user is feeling stressed).

[0292] 4. Creating story-based content

[0293] Based on the generated scenario, the server uses a GAN model (using PyTorch) to generate a manga with the user as the main character. In this process, scenes and situations are depicted that fit the scenario.

[0294] 5. Submission of Content

[0295] The generated manga is sent to the user's mobile communication terminal device using a direct mail distribution function such as Firebase Cloud Messaging.

[0296] 6. User browsing

[0297] The user's mobile communication terminal displays the received content (manga) for the user to enjoy, thereby providing personalized information to the user.

[0298] Specific examples

[0299] Specific use case description:

[0300] User information: User A, age 30, model used: Smartphone Y, frequently used app: video viewing app X, duration of use: 2 years, emotional state: stress

[0301] Example prompt sentence:

[0302] Prompt: The server should analyze the user information and generate a personalized manga for User A.

[0303] User information: Name: User A, Age: 30, Model: Smartphone Y, Duration of use: 2 years, Favorite app: Video viewing app X, Emotional state: Stress

[0304] Scenario: User A is using a new relaxation app to relieve stress.

[0305] The hardware and software required to implement the present invention are as follows:

[0306] Hardware

[0307] Smartphone (iOS / ANDROID (registered trademark) compatible)

[0308] Server (storage and analysis of user data, manga generation)

[0309] software

[0310] Data acquisition communication module

[0311] Emotion Engine (Emotion SDK)

[0312] Scenario generation algorithm (Python, TensorFlow)

[0313] Manga generation AI (GAN model, PyTorch)

[0314] Direct mail delivery function (Firebase Cloud Messaging)

[0315] Smartphone app for users (Swift for iOS, Kotlin for Android)

[0316] This system makes it possible to provide personalized and attractive content that is tailored to the user's emotions and interests.

[0317] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0318] Step 1:

[0319] The server connects to the carrier's database to obtain the user's personal information and contract information.

[0320] Specifically, the server uses an API to retrieve information from the database, such as the user's name, age, gender, device type, period of use, frequently used apps, and data plan, while using a security protocol to protect the confidentiality of the data.

[0321] Input: User ID

[0322] Output: A dataset of user personal and contract information

[0323] Step 2:

[0324] The server analyzes the acquired user personal information and contract information and obtains the user's emotional data through an emotion recognition engine (such as Emotion SDK).

[0325] For example, the camera on the mobile communication terminal device can be used to analyze the user's facial expressions, and emotions can also be determined from the apps being used and character input patterns.

[0326] Input: User's personal information and contract information, camera footage, app usage data, character input data

[0327] Output: Emotion data (e.g., stress, relaxation, joy)

[0328] Step 3:

[0329] The server analyzes the acquired user data and emotional data based on a scenario generation algorithm using Python and TensorFlow, and generates a scenario appropriate for the user.

[0330] Here, models are applied to determine the storyline and content structure, taking into account the user's interests and emotional state.

[0331] Input: User's personal information, contract information, emotional data

[0332] Output: Personalized scenario

[0333] Step 4:

[0334] Based on the generated scenario, the server uses a GAN model (using PyTorch) to generate a manga with the user as the main character.

[0335] This process generates images for each scene in the scenario, creating a manga in which the user appears in specific actions and scenes.

[0336] Input: A personalized scenario

[0337] Output: Manga (image data) with the user as the main character

[0338] Step 5:

[0339] The server sends the generated manga to the user's mobile communication terminal device using a direct mail delivery function such as Firebase Cloud Messaging.

[0340] In this step, you set up triggers for immediate content delivery and notifications.

[0341] Input: Manga (image data) with the user as the main character

[0342] Output: Confirmation of transmission to the user's mobile communication terminal device

[0343] Step 6:

[0344] The user's mobile communication terminal opens the received DM and views the content.

[0345] Specifically, a notification will appear on the device, and when the user taps it, the manga viewing screen will open.

[0346] Input: Manga (image data) with the user as the main character

[0347] Output: Users can visually enjoy the manga

[0348] 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.

[0349] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (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.

[0350] 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.

[0351] [Second embodiment]

[0352] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0353] 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.

[0354] 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).

[0355] 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.

[0356] 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.

[0357] 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).

[0358] 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. 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.

[0359] 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.

[0360] 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.

[0361] 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.

[0362] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0363] 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."

[0364] This system acquires a user's contract information and personal information, analyzes that information, creates a scenario suited to the user, and then generates a manga based on that scenario with the user as the main character, which is then sent to the user's device. This system allows the user to receive recommendations for optimal services and models in the form of a visually appealing manga.

[0365] Retrieving User Data

[0366] The server connects to the carrier's database to obtain the user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and communication plan.

[0367] Generate a scenario

[0368] The server analyzes the acquired user data and generates individual scenarios based on the user's interests and current usage. For example, if a user frequently uses apps like YouTube and Instagram, a scenario will be generated suggesting the latest smartphones with high-resolution cameras and large battery capacities.

[0369] Manga Generation

[0370] Based on the generated scenario, the server generates a manga with the user as the main character. In this process, AI is used to create manga panels (scenes) based on the scenario. For example, scenes depicting the user holding a smartphone or using a recommended model may be depicted.

[0371] Direct mail delivery

[0372] The server then sends the generated manga to the user's device as a direct mail, which is sent via the Internet and is delivered to the user quickly.

[0373] View users

[0374] The device opens the received DM and displays a manga, in which the user appears as the main character, allowing the user to visually enjoy information about the proposed model or service.

[0375] Specific examples

[0376] User contract information

[0377] Name: Yamada Ichiro

[0378] Age: 35

[0379] Current device: Smartphone A

[0380] Usage period: 3 years

[0381] Frequently used apps: Video viewing app B, SNS app C

[0382] Data plan: 50GB per month

[0383] Processing flow

[0384] 1. The server connects to the database and retrieves Yamada Ichiro's contract information, including the current model of device he is using, the period of use, frequently used apps, and his data plan.

[0385] 2. The server analyzes the acquired data and generates a scenario in which a new smartphone B featuring a high-resolution camera and a large-capacity battery is suggested based on Yamada Ichiro's frequent use of video viewing app B and social networking app C.

[0386] 3. The server uses the AI ​​image generation model to generate a manga based on a scenario in which Ichiro Yamada plays the main character. For example, the first panel might show Ichiro Yamada using his current smartphone, the second panel might show him introducing new smartphone B, and the third panel might show him using new smartphone B to enjoy video viewing app B and social networking app C.

[0387] 4. The server sends the generated manga to Yamada Ichiro's device as a direct mail. It is quickly delivered via the Internet.

[0388] 5. The device will display the received DM, and Yamada Ichiro can open it and read the manga in which he is the main character. This will deepen his understanding and interest in the proposed model and service.

[0389] As a result, the present invention can provide users with individually optimized content in a visually appealing format, thereby improving the effectiveness of carrier service offerings.

[0390] The processing flow will be explained below.

[0391] Step 1:

[0392] The server connects to the carrier's database and retrieves the specific user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and communication plan.

[0393] Step 2:

[0394] The server analyzes the acquired user data. For example, if the user is in their 30s and frequently uses video viewing apps, it determines that a newer model with a long battery life and a high-resolution camera is suitable.

[0395] Step 3:

[0396] Based on the analysis results, the server generates a scenario suited to the user. The scenario content not only introduces specific models, but also suggests new ways to use and lifestyles using those models. For example, it generates a message that reads, "Using new model B will make watching videos even more comfortable."

[0397] Step 4:

[0398] Based on the generated scenario, the server uses an AI image generation model to generate a manga. The manga includes scenes of the user using their current smartphone as well as scenes of them using a new model more conveniently. Specifically, the first frame depicts the user using their current model, the second frame introduces the new model, and the third frame depicts a scene of using the new model.

[0399] Step 5:

[0400] The server sends the generated manga to the user's device as a direct message (DM). This sending process includes distributing the DM via the Internet using the user's contact information (e.g., email address and phone number).

[0401] Step 6:

[0402] The device opens the received DM and displays the contents. The user interface is intuitive and designed to make it easy to read the manga-style DM.

[0403] Step 7:

[0404] By reading the DM, users can enjoy a manga in which they appear as the main character. In the process, information about the proposed models and services is conveyed visually and in an easy-to-understand manner, deepening users' understanding and interest in the proposed content.

[0405] Through these steps, users can receive information about products and services that are best suited to them through visually appealing manga-style direct mail, which attracts users' attention and contributes to promoting the use of services and products.

[0406] Example 1

[0407] 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."

[0408] Conventional user service suggestion systems have the problem of being unable to provide visually appealing content that is optimized for each individual user, which can lead to users not being interested in the suggestions, making it difficult to provide effective services or recommend products.

[0409] 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.

[0410] In this invention, the server includes means for acquiring personal information and contract information of a user, means for analyzing the acquired data to generate a scenario suitable for the user, means for generating visual media featuring the user as the protagonist based on the generated scenario, means for using a generative AI model used in generating the visual media, means for transmitting the generated visual media to the user's communication device, and means for the user to view the transmitted visual media, thereby making it possible to visually provide attractive content that is individually optimized for the user.

[0411] "User" refers to a customer who uses the system to provide personal information and contract information.

[0412] "Personal information" refers to information that identifies a specific individual, such as a user's name, age, or gender.

[0413] "Contract information" refers to information such as the service content that the user has subscribed to, the equipment used, the period of use, and the communication plan.

[0414] A "scenario" refers to a story that includes optimal suggestions for the user, created by analyzing the personal information and contract information acquired.

[0415] "Visual Media" refers to comic book-style and other visually-presented content that features the user as the protagonist.

[0416] "Generative AI model" refers to an artificial intelligence model used to generate scenarios or visual media.

[0417] "Communication device" refers to communication terminals used by users, such as smartphones, tablets, and personal computers.

[0418] "Means of acquisition" refers to the method by which the server collects users' personal information and contract information through a database or API.

[0419] "Means for analysis" refers to the method, analysis tools, and algorithms used by the server to analyze collected data and generate scenarios.

[0420] "Means for generating" refers to the method by which the server uses the generative AI model to create the visual media.

[0421] "Means for transmitting" refers to the method for transmitting the generated visual media to a user's communication device over the Internet or other communication means.

[0422] "Means for viewing" refers to the application or functionality that allows a user to view and view the received visual media.

[0423] This system consists of a series of steps: acquiring the user's personal information and contract information, analyzing the acquired data to generate an optimal scenario for the user, generating visual media with the user as the protagonist based on that scenario, and sending the generated visual media to the user's communication device.

[0424] Hardware and software used

[0425] The following hardware and software are required to implement this system.

[0426] server

[0427] Communication devices (smartphones, tablets, computers, etc.)

[0428] Database (storing user personal information and contract information)

[0429] Generative AI models (AI models for generating visual media)

[0430] Retrieving User Data

[0431] The server connects to the carrier's database using API or SQL queries to obtain the user's personal information and contract information, including the user's name, age, gender, device used, period of use, frequently used applications, and communication plan.

[0432] Generate a scenario

[0433] The server analyzes the acquired user data and generates individual scenarios based on the user's interests and current usage. This analysis uses data mining techniques and machine learning algorithms, and a generative AI model is used to generate the scenario. At this point, a prompt for scenario generation is input into the AI ​​model. For example, the prompt could be, "A 35-year-old user frequently uses video viewing apps and social media apps. Please generate a scenario that suggests a smartphone with a high-resolution camera and a large battery capacity."

[0434] Visual Media Generation

[0435] Based on the generated scenario, the server generates visual media (such as manga) with the user as the main character. Each frame of this visual media contains a scene and dialogue (dialogue). Specifically, it depicts a scene in which the user uses their current smartphone, a scene introducing their new smartphone, a scene in which they use the new smartphone, etc.

[0436] Direct mail delivery

[0437] The server then sends the generated visual media as a digital message (DM) to the user's communication device. This transmission is done over the Internet and is transmitted quickly using the HTTP protocol. The server also checks the status of the transmission and logs whether it was delivered correctly.

[0438] View users

[0439] The communication device notifies the user of the received DM. The user opens the DM and launches an application to display the visual media. This allows the user to read the visual media, in which they appear as the main character, and enjoy information about the suggested communication devices and services.

[0440] As a concrete example, the following prompt sentences can be input to a generative AI model:

[0441] "Generate a scenario where a 35-year-old user frequently uses video viewing apps and social media apps, and suggests a smartphone with a high-resolution camera and a large battery capacity."

[0442] "Generate a scenario where a user is using a new smartphone."

[0443] As a result, the system can provide users with visually appealing content and increase engagement.

[0444] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0445] Step 1: Get User Data

[0446] The server connects to the carrier's database and retrieves the user's personal information and contract information. An API endpoint or SQL query is used as input. Specifically, the server sends an API request to the database and retrieves data such as name, age, gender, device used, period of use, frequently used apps, and communication plan. The retrieved information is sent to the server in JSON or XML format and stored in temporary storage.

[0447] Step 2: Generate a scenario

[0448] The server analyzes the acquired user data and generates the optimal scenario for the user. The user data acquired in step 1 is used as input. Specifically, the server uses data analysis software (e.g., a Python data analysis library) to analyze the user's app usage frequency and communication plan. Next, a prompt for scenario generation is input into the generative AI model. For example, "A 35-year-old user frequently uses video viewing apps and social networking apps, so please generate a scenario that suggests a smartphone with a high-resolution camera and a large-capacity battery." The output is the optimal scenario for the user in text format.

[0449] Step 3: Generate visual media

[0450] Based on the generated scenario, the server generates visual media (manga) with the user as the main character. The scenario generated in step 2 is used as input. Specifically, the server calls the generative AI model, inputs the scenario text, and generates multiple manga panels. At this time, scenes and dialogue (dialogue) are automatically generated. As output, each panel is generated as an image file, forming a series of manga pages.

[0451] Step 4: Sending direct mail

[0452] The server sends the generated visual media as a direct mail to the user's communication device. The manga image file generated in step 3 is used as input. Specifically, the server uses an email sending service or messaging API (e.g., SMTP server, push notification service) to send the direct mail over the Internet. The output is the visual media sent to the user's communication device.

[0453] Step 5: View Users

[0454] The device notifies the user of the received DM. As input, the DM sent in step 4 is received. As a specific operation, the communication device displays a new message notification to notify the user of the arrival of the DM. The user opens the DM and launches an application to display the visual media. As output, the user can view the visual media in which they appear as the main character and obtain information about the proposed communication device and services.

[0455] The above series of steps allows us to provide users with individually optimized and visually appealing content.

[0456] (Application example 1)

[0457] 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."

[0458] With conventional advertising methods, it has been difficult to effectively deliver advertisements that are optimized for individual user interests. As a result, the effectiveness of advertisements has been limited, making it difficult to attract users' attention. In addition, there has been a lack of ways to deliver advertisements in a visually appealing format, and there has been a demand for effective advertising methods, especially for users using mobile devices.

[0459] 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.

[0460] In this invention, the server includes means for acquiring personal information and contract information of a user, means for analyzing the acquired data to generate a scenario suited to the user, means for generating a manga with the user as the main character based on the generated scenario, means for transmitting the generated manga to the user's terminal, means for the user to view the transmitted manga, means for generating advertising content as a scenario based on the analysis results, and means for generating an advertising manga based on the generated advertising scenario. This makes it possible to effectively provide visually appealing advertising manga based on the user's interests and concerns.

[0461] "User personal information" refers to information about an individual, such as the user's name, age, gender, address, and contact details.

[0462] "Contract information" refers to information such as the services and plans subscribed to by the user, the model used, the period of use, and frequently used apps.

[0463] "Means of analyzing data" refers to methods and algorithms for analyzing users' interests and concerns based on the acquired personal information and contract information of users.

[0464] "Scenario generation means" refers to a method for creating stories and proposals that are appropriate for users based on analyzed data.

[0465] "Means for generating manga" refers to a method of using AI models, etc. to create visual manga-style content based on a generated scenario.

[0466] "Means for sending to the terminal" refers to a method for distributing the generated manga to the user's terminal via the Internet.

[0467] "Means of viewing" refers to the method by which a user visually checks the manga sent through the device.

[0468] "Means for generating advertising content as a scenario" refers to a method for creating an advertising scenario for a product or service that is optimal for the user based on the analysis results.

[0469] The "means for generating advertising manga" is a method for creating visually appealing advertising manga based on the generated advertising scenario.

[0470] This system acquires a user's personal information and contract information, analyzes them to generate a scenario suited to the user, generates a manga with the user as the main character based on the scenario, and then transmits the manga to the user's device. In particular, the system aims to effectively deliver visually appealing advertisements to users by providing advertising content based on the analysis results in manga format.

[0471] The system includes the following means:

[0472] 1. Means of obtaining user personal information and contract information

[0473] The server connects to the carrier's database and obtains the user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and data plan.

[0474] 2. A means of analyzing the acquired data and generating scenarios suitable for the user

[0475] The server analyzes the acquired data and generates a personalized scenario based on the user's interests and current usage. For example, if the user frequently uses fitness-related apps, a scenario suggesting fitness supplements and training equipment will be generated.

[0476] 3. A method for generating a manga with the user as the main character based on the generated scenario

[0477] Based on the generated scenario, the server uses the AI ​​model to create manga panels (scenes), such as a scene depicting a user trying out a new fitness supplement or using training equipment.

[0478] 4. How to send the generated manga to the user's device

[0479] The server quickly transmits the generated manga to the user's device via the Internet, allowing the user to receive recommended products and services in a visually appealing format.

[0480] 5. How users can view the manga they have sent

[0481] The device opens the received DM, allowing the user to read a manga in which they appear as the main character, deepening their understanding and interest in the proposed product or service.

[0482] As a concrete example, consider a case where user ID "Yamada Ichiro" is interested in fitness. The server generates a manga with the story "Yamada Ichiro tries a new fitness supplement" and sends it to the user's device. An example of this prompt is as follows:

[0483] User ID = "Yamada Ichiro"

[0484] Generate a manga for the story "Ichiro Yamada tries a new fitness supplement"

[0485] In this way, the present invention can provide advertising content optimized to the user's interests and concerns in a visually appealing format, thereby increasing the effectiveness of advertising.

[0486] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0487] Step 1:

[0488] The server connects to the carrier's database and obtains the user's personal information and contract information. Specifically, it obtains data such as the user's name, age, gender, model used, period of use, frequently used apps, and communication plan. The input for this step is the user's ID, and the output is the obtained user's personal information and contract information.

[0489] Step 2:

[0490] The server analyzes the acquired data. First, it analyzes the user's interests and concerns, and then generates an individual scenario based on the user's current usage. For example, if the user frequently uses a fitness app, it generates a scenario that suggests fitness supplements and training equipment. The input of this step is the user's personal information and contract information acquired in step 1, and the output is a scenario appropriate for the user.

[0491] Step 3:

[0492] Based on the generated scenario, the server uses an AI model to generate a manga with the user as the main character. Specifically, it automatically creates manga panels (scenes) that fit the scenario. For example, a scene in which the user is trying out a new fitness supplement. The input for this step is the scenario generated in step 2, and the output is the generated manga.

[0493] Step 4:

[0494] The server sends the generated manga to the user's device via the Internet. Specifically, it sends the generated manga data to the user's email address or a dedicated app. The input for this step is the manga generated in step 3, and the output is the manga sent to the user's device.

[0495] Step 5:

[0496] The device displays the received manga. The user opens the DM on the device and reads the manga in which they appear as the main character. This deepens their understanding and interest in the proposed product or service. The input to this step is the manga sent in step 4, and the output is the manga displayed on the device.

[0497] Through the above processing steps, advertisements that interest each individual user can be effectively delivered in comic format, maximizing the effectiveness of the advertisements.

[0498] 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.

[0499] This invention provides a system that acquires a user's personal information and contract information, analyzes that information to generate a scenario suited to the user, and then generates a manga with the user as the main character based on that scenario and sends it to the user's device. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the system can adjust the scenario based on the user's emotions, allowing for more personalized suggestions.

[0500] Retrieving User Data

[0501] The server connects to the carrier's database to obtain the user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and data plan.

[0502] Generate a scenario

[0503] The server analyzes the acquired user data and generates individual scenarios based on the user's interests and current usage. Furthermore, the emotion engine takes into account the emotional data recognized through the user's input and reactions, and adjusts the scenario accordingly. For example, if the server determines that the user is feeling stressed, it generates a scenario that includes suggestions for apps and services that have a relaxing effect.

[0504] Manga Generation

[0505] The server generates a manga with the user as the main character based on the generated scenario. In this process, AI is used to create manga panels (scenes) based on the scenario. For example, it could depict a scene in which the user is holding their current smartphone or a scene in which they are using a new model more conveniently. It can also change the tone and story development of the manga based on emotions.

[0506] Direct mail delivery

[0507] The server then sends the generated manga to the user's device as a direct mail, which is sent via the Internet and is delivered to the user quickly.

[0508] View users

[0509] The device opens the received DM and displays its contents. By reading the manga in which the user appears as the main character, the user can visually enjoy information about the proposed models and services.

[0510] Specific examples

[0511] User contract information

[0512] Name: Yamada Ichiro

[0513] Age: 35

[0514] Current device: Smartphone A

[0515] Usage period: 3 years

[0516] Frequently used apps: Video viewing app B, SNS app C

[0517] Data plan: 50GB per month

[0518] Emotion recognition example

[0519] Emotional state: Stress

[0520] Inputs and reactions: Lots of unread messages, frequently used relaxation apps

[0521] Processing flow

[0522] 1. The server connects to the database and retrieves Yamada Ichiro's contract information, including the current model of device he is using, the period of use, frequently used apps, and his data plan.

[0523] 2. The server analyzes the acquired data and determines that Yamada Ichiro frequently uses video viewing app B and social media app C. At the same time, the emotion engine recognizes Yamada Ichiro's stress level and generates a scenario that suggests apps and services that have a relaxing effect.

[0524] 3. Based on the generated scenario, the server generates a manga in which Yamada Ichiro plays the main character. For example, the first panel might show Yamada Ichiro using his current device, the second panel might introduce a new device, and the third panel might show him using a relaxation app on the new device.

[0525] 4. The server sends the generated manga to Yamada Ichiro's device as a direct mail. It is quickly delivered via the Internet.

[0526] 5. After opening the DM received on the device, Ichiro Yamada reads it and enjoys the manga in which he is the main character. Through this process, he deepens his understanding and interest in the proposed relaxation app and new device.

[0527] As a result, the present invention can provide users with individually optimized content in a visually appealing format, improving the effectiveness of service offers from carriers. Personalized offers based on user sentiment further enhance the user experience.

[0528] The processing flow will be explained below.

[0529] Step 1:

[0530] The server connects to the carrier's database and retrieves the specific user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and communication plan.

[0531] Step 2:

[0532] The server uses an emotion engine to acquire emotion data from the user's device. The emotion engine analyzes the user's input and reactions, such as frequently used apps, number of unread messages, and time of day, to recognize the user's emotional state.

[0533] Step 3:

[0534] The server analyzes the acquired user data and emotional data. For example, if a user frequently uses a video viewing app and the emotion engine detects a state of stress, it generates a scenario to suggest apps and services that have a relaxing effect.

[0535] Step 4:

[0536] Based on the analysis results, the server generates a scenario tailored to the user, including content based on the user's usage patterns and emotional state, such as a suggestion for a new smartphone using a relaxation app.

[0537] Step 5:

[0538] The server then uses an AI image generation model to generate a manga based on the generated scenario. The manga includes scenes of the user using their current smartphone, introducing a new model, and using a relaxation app on the new model.

[0539] Step 6:

[0540] The server then sends the generated manga to the user's device as a direct mail, which is sent via the Internet for fast delivery.

[0541] Step 7:

[0542] The device opens the received DM and displays the contents. The user interface is intuitive and designed to make it easy to read the manga-style DM.

[0543] Step 8:

[0544] By reading the DM, users can enjoy the manga in which they appear as the main character, and in the process, they will gain a deeper understanding and interest in the proposed relaxation app or new device.

[0545] Through these steps, users can receive information about products and services that are best suited to them through visually appealing manga-style direct mail, which attracts users' attention and contributes to promoting the use of services and products. The introduction of an emotion engine enables personalized suggestions based on the user's emotional state, resulting in a better user experience.

[0546] Example 2

[0547] 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."

[0548] Conventional recommendation systems have difficulty providing personalized content because they do not fully consider the user's interests and emotions. In particular, the lack of suggestions based on the user's emotions has led to a lack of improvement in the user experience.

[0549] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0550] In this invention, the server includes means for acquiring personal information and contract information of a user, means for analyzing the acquired data to generate a scenario suited to the user, and means for using a generative AI model to generate visual content featuring the user as the protagonist based on the generated scenario, thereby enabling the rapid provision of visual content including personalized suggestions based on the user's emotions and usage status.

[0551] "User personal information" refers to individual attribute information such as the user's name, age, and gender.

[0552] "Contract information" refers to information about the contract a user has with a telecommunications carrier, specifically the device used, communication plan, period of use, etc.

[0553] "Means of retrieval" refers to the process or method by which the server accesses the database and retrieves the required information.

[0554] "Means of analysis" refers to the technology and process for analyzing acquired user data and generating scenarios based on the user's interests and concerns.

[0555] A "generative AI model" is an artificial intelligence model used for natural language processing and image generation, and refers to a tool for generating visual content based on a given scenario.

[0556] "Visual content" refers to comics and other image-based media that feature the user as the main character.

[0557] "Transmission Means" refers to the technology or method for transmitting the generated visual content to the user's device.

[0558] "Means for viewing" refers to the device or application that allows a User to view and review the received visual content.

[0559] "Device in use" refers to the device currently being used by the user, specifically a smartphone, tablet, etc.

[0560] "Continuous period of use" refers to the period during which a user uses a particular device or communication plan.

[0561] "Application Usage Frequency" refers to data that indicates how frequently users use each application.

[0562] The present invention is a system that analyzes a user's personal information and contract information, generates a scenario suitable for the user, and generates visual content with the user as the main character based on the scenario. This system includes elements of a server, a terminal, and the user.

[0563] First, the server connects to a database management system (e.g., MySQL, Oracle Database) to retrieve the user's personal information and contract information from the carrier's database. The data is retrieved using SQL queries and saved in JSON format. The retrieved personal information includes name, age, and gender, while contract information includes the device used, communication plan, and usage period.

[0564] The server then uses a Python-based data analysis library (e.g., Pandas) to analyze the acquired data. This analysis allows the server to understand the user's interests and current usage. The server also uses the Google Cloud Natural Language API for emotion recognition to acquire user emotional data. This data is acquired through user input and reactions. For example, if the user is judged to be under high stress, the server can generate a scenario that provides a relaxing effect.

[0565] After the scenario is generated, the server uses a generative AI model (e.g., OpenAI's GPT-4) to generate the scenario as a sentence. This sentence is used as a prompt for the visual content. Once the prompt is prepared, a render engine (e.g., Blender, Unity) is used to generate the visual content (e.g., manga panels) in image format. In this generation process, the user is depicted as the main character.

[0566] The generated visual content is then sent by the server to the user's device using the SMTP protocol and an API for in-app notifications, which allows for fast delivery.

[0567] The user's device will open the received DM and display the contents. Many devices use HTML5-compatible browsers to display the visual content, allowing the user to visually enjoy the content in which they themselves appear as the main character.

[0568] Specific examples

[0569] User contract information

[0570] Name: Taro Tanaka

[0571] Age: 30

[0572] Current device: Smartphone XYZ

[0573] Usage period: 2 years

[0574] Frequently used apps: Movie viewing app ABC, SNS app DEF

[0575] Data plan: 100GB per month

[0576] Emotion recognition example

[0577] Emotional state: Stress

[0578] Input and response: Frequent use of relaxation apps

[0579] Prompt Sentence Examples

[0580] "Taro Tanaka (age 30, smartphone XYZ, used for 2 years) has been feeling stressed recently. Since he frequently uses movie viewing app ABC and social media app DEF, generate a scenario suggesting a new smartphone and relaxation app to use to reduce stress, and create visual content with him as the main character."

[0581] In this way, the system of the present invention is able to provide users with personalized and visually appealing content by combining advanced data analysis and emotion recognition techniques.

[0582] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0583] Step 1: Obtaining user personal and contract information

[0584] The server connects to the carrier's database and retrieves the user's personal information and contract information. Specifically, it retrieves data by executing an SQL query on a database management system (e.g., MySQL, Oracle Database). The input is the database connection information and user ID, and the output is the user's name, age, gender, device used, period of use, frequently used apps, and communication plan information in JSON format.

[0585] Step 2: Analyze user data

[0586] The server uses an analysis engine (e.g., Pandas, a Python-based data analysis library) to analyze the acquired user data. The input is the JSON-formatted user data acquired in step 1, and the output is the user's interests, current usage, and emotional data. Specifically, the server performs data analysis and pattern recognition to extract the user's interests and usage trends.

[0587] Step 3: Obtaining emotion data

[0588] The server uses an emotion engine (e.g., Google Cloud Natural Language API) to obtain the user's emotional data. The input is the user's input and reactions, and by analyzing this, the output is the user's emotional state (e.g., stress, relaxation). Specific operations include analyzing text data and evaluating behavioral patterns.

[0589] Step 4: Generate a scenario

[0590] The server generates an optimal scenario for the user based on the acquired and analyzed data. The input is user data and emotional data, and the output is a scenario in the form of a prompt sentence. This scenario is customized based on the user's emotions and interests. Specifically, the scenario is automatically generated using a text generation engine.

[0591] Step 5: Generate visual content

[0592] The server uses a generative AI model (e.g., OpenAI's GPT-4) to generate visual content (e.g., manga panels) given a scenario as an input prompt. The input is the prompt text generated in step 4, and the output is a visualized manga panel. Specifically, the AI ​​model performs a text-to-image conversion process.

[0593] Step 6: Sending direct mail

[0594] The server sends the generated visual content to the user's device in the form of a direct message (email or in-app notification). The input is the visual content generated in step 5, and the output is the direct message delivered to the user's device. The specific operation involves the process of sending emails or notification messages using the SMTP protocol or API.

[0595] Step 7: View Users

[0596] The device opens the received DM and displays the visual content. The input is the received DM, and the output is a manga that the user can enjoy visually. Specifically, the DM is displayed in an HTML5-compatible browser. The user can visually enjoy a manga in which they appear as the main character.

[0597] The above are the specific processing steps of the program in this system.

[0598] (Application example 2)

[0599] 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."

[0600] Current content delivery services lack the ability to provide personalized content based on individual users' interests and emotions. This hinders the improvement of user experience and leads to problems such as a decline in service usage frequency and satisfaction. Conventional methods make it difficult to effectively utilize user emotions and real-time data, and in particular, have not been able to achieve advanced personalization that reflects changes in user emotions.

[0601] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0602] In this invention, the server includes means for acquiring personal information and contract information of a user, means for analyzing the acquired data to generate a scenario suited to the user, means for generating story-style content with the user as the protagonist based on the generated scenario, means for transmitting the generated content to the user's mobile communication terminal device, means for the user to view the transmitted content, and means for recognizing the user's emotions and adjusting the scenario based on those emotions, thereby making it possible to provide personalized and attractive content that matches the user's emotions and interests.

[0603] "User personal information" refers to data that identifies an individual, such as the user's name, age, and gender.

[0604] "Contract information" refers to data relating to the contents of the contract a user has with a telecommunications carrier, including information such as the communication plan and model used, and the contract period.

[0605] A "scenario" refers to the story development and structure of the content provided to users, and is generated based on the user's interests and emotions.

[0606] "Story-based content" refers to content that unfolds in the form of a story with the user as the main character, and includes formats such as manga and novels.

[0607] A "mobile communication terminal device" refers to an information device, such as a smartphone or tablet, that allows communication even while on the move.

[0608] "Means of recognizing emotions" refers to technologies and systems that can identify a user's emotions at any given time from their facial expressions, behavior, input data, etc.

[0609] "Means for adjusting scenarios based on emotions" refers to technologies and systems that change and optimize the content and tone of scenarios based on user emotional data.

[0610] This invention is a system that acquires a user's personal information and contract information, analyzes that information, and generates a scenario suited to the user. The system also generates story-style content with the user as the main character and transmits it to the user's mobile communication terminal. The system also has the function of recognizing the user's emotions and adjusting the scenario based on those emotions.

[0611] The specific configuration includes the following main components:

[0612] 1. Obtaining user data

[0613] The server connects to the carrier's database and obtains the user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and data plan.

[0614] 2. Acquiring Emotion Data

[0615] Using an emotion recognition engine (such as Emotion SDK) installed in a mobile communication terminal device (such as a smartphone), emotions are analyzed from the user's facial expressions, behavior, and input data.

[0616] 3. Scenario generation

[0617] The server analyzes the acquired user data and emotional data and generates individual scenarios using a scenario generation algorithm built with Python and TensorFlow.

[0618] Adapt the scenario taking into account data obtained through emotion recognition (for example, if the user is feeling stressed).

[0619] 4. Creating story-based content

[0620] Based on the generated scenario, the server uses a GAN model (using PyTorch) to generate a manga with the user as the main character. In this process, scenes and situations are depicted that fit the scenario.

[0621] 5. Submission of Content

[0622] The generated manga is sent to the user's mobile communication terminal device using a direct mail distribution function such as Firebase Cloud Messaging.

[0623] 6. User browsing

[0624] The user's mobile communication terminal displays the received content (manga) for the user to enjoy, thereby providing personalized information to the user.

[0625] Specific examples

[0626] Specific use case description:

[0627] User information: User A, age 30, model used: Smartphone Y, frequently used app: video viewing app X, duration of use: 2 years, emotional state: stress

[0628] Example prompt sentence:

[0629] Prompt: The server should analyze the user information and generate a personalized manga for User A.

[0630] User information: Name: User A, Age: 30, Model: Smartphone Y, Duration of use: 2 years, Favorite app: Video viewing app X, Emotional state: Stress

[0631] Scenario: User A is using a new relaxation app to relieve stress.

[0632] The hardware and software required to implement the present invention are as follows:

[0633] Hardware

[0634] Smartphone (iOS / Android compatible)

[0635] Server (storage and analysis of user data, manga generation)

[0636] software

[0637] Data acquisition communication module

[0638] Emotion Engine (Emotion SDK)

[0639] Scenario generation algorithm (Python, TensorFlow)

[0640] Manga generation AI (GAN model, PyTorch)

[0641] Direct mail delivery function (Firebase Cloud Messaging)

[0642] Smartphone app for users (Swift for iOS, Kotlin for Android)

[0643] This system makes it possible to provide personalized and attractive content that is tailored to the user's emotions and interests.

[0644] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0645] Step 1:

[0646] The server connects to the carrier's database to obtain the user's personal information and contract information.

[0647] Specifically, the server uses an API to retrieve information from the database, such as the user's name, age, gender, device type, period of use, frequently used apps, and data plan, while using a security protocol to protect the confidentiality of the data.

[0648] Input: User ID

[0649] Output: A dataset of user personal and contract information

[0650] Step 2:

[0651] The server analyzes the acquired user personal information and contract information and obtains the user's emotional data through an emotion recognition engine (such as Emotion SDK).

[0652] For example, the camera on the mobile communication terminal device can be used to analyze the user's facial expressions, and emotions can also be determined from the apps being used and character input patterns.

[0653] Input: User's personal information and contract information, camera footage, app usage data, character input data

[0654] Output: Emotion data (e.g., stress, relaxation, joy)

[0655] Step 3:

[0656] The server analyzes the acquired user data and emotional data based on a scenario generation algorithm using Python and TensorFlow, and generates a scenario appropriate for the user.

[0657] Here, models are applied to determine the storyline and content structure, taking into account the user's interests and emotional state.

[0658] Input: User's personal information, contract information, emotional data

[0659] Output: Personalized scenario

[0660] Step 4:

[0661] Based on the generated scenario, the server uses a GAN model (using PyTorch) to generate a manga with the user as the main character.

[0662] This process generates images for each scene in the scenario, creating a manga in which the user appears in specific actions and scenes.

[0663] Input: A personalized scenario

[0664] Output: Manga (image data) with the user as the main character

[0665] Step 5:

[0666] The server sends the generated manga to the user's mobile communication terminal device using a direct mail delivery function such as Firebase Cloud Messaging.

[0667] In this step, you set up triggers for immediate content delivery and notifications.

[0668] Input: Manga (image data) with the user as the main character

[0669] Output: Confirmation of transmission to the user's mobile communication terminal device

[0670] Step 6:

[0671] The user's mobile communication terminal opens the received DM and views the content.

[0672] Specifically, a notification will appear on the device, and when the user taps it, the manga viewing screen will open.

[0673] Input: Manga (image data) with the user as the main character

[0674] Output: Users can visually enjoy the manga

[0675] 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.

[0676] 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.

[0677] 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.

[0678] [Third embodiment]

[0679] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0680] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0681] 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).

[0682] 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.

[0683] 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.

[0684] 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).

[0685] 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. 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.

[0686] 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.

[0687] 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.

[0688] 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.

[0689] 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.

[0690] 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."

[0691] This system acquires a user's contract information and personal information, analyzes that information, creates a scenario suited to the user, and then generates a manga based on that scenario with the user as the main character, which is then sent to the user's device. This system allows the user to receive recommendations for optimal services and models in the form of a visually appealing manga.

[0692] Retrieving User Data

[0693] The server connects to the carrier's database to obtain the user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and communication plan.

[0694] Generate a scenario

[0695] The server analyzes the acquired user data and generates individual scenarios based on the user's interests and current usage. For example, if a user frequently uses apps like YouTube and Instagram, a scenario will be generated suggesting the latest smartphones with high-resolution cameras and large battery capacities.

[0696] Manga Generation

[0697] Based on the generated scenario, the server generates a manga with the user as the main character. In this process, AI is used to create manga panels (scenes) based on the scenario. For example, scenes depicting the user holding a smartphone or using a recommended model may be depicted.

[0698] Direct mail delivery

[0699] The server then sends the generated manga to the user's device as a direct mail, which is sent via the Internet and is delivered to the user quickly.

[0700] View users

[0701] The device opens the received DM and displays a manga, in which the user appears as the main character, allowing the user to visually enjoy information about the proposed model or service.

[0702] Specific examples

[0703] User contract information

[0704] Name: Yamada Ichiro

[0705] Age: 35

[0706] Current device: Smartphone A

[0707] Usage period: 3 years

[0708] Frequently used apps: Video viewing app B, SNS app C

[0709] Data plan: 50GB per month

[0710] Processing flow

[0711] 1. The server connects to the database and retrieves Yamada Ichiro's contract information, including the current model of device he is using, the period of use, frequently used apps, and his data plan.

[0712] 2. The server analyzes the acquired data and generates a scenario in which a new smartphone B featuring a high-resolution camera and a large-capacity battery is suggested based on Yamada Ichiro's frequent use of video viewing app B and social networking app C.

[0713] 3. The server uses the AI ​​image generation model to generate a manga based on a scenario in which Ichiro Yamada plays the main character. For example, the first panel might show Ichiro Yamada using his current smartphone, the second panel might show him introducing new smartphone B, and the third panel might show him using new smartphone B to enjoy video viewing app B and social networking app C.

[0714] 4. The server sends the generated manga to Yamada Ichiro's device as a direct mail. It is quickly delivered via the Internet.

[0715] 5. The device will display the received DM, and Yamada Ichiro can open it and read the manga in which he is the main character. This will deepen his understanding and interest in the proposed model and service.

[0716] As a result, the present invention can provide users with individually optimized content in a visually appealing format, thereby improving the effectiveness of carrier service offerings.

[0717] The processing flow will be explained below.

[0718] Step 1:

[0719] The server connects to the carrier's database and retrieves the specific user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and communication plan.

[0720] Step 2:

[0721] The server analyzes the acquired user data. For example, if the user is in their 30s and frequently uses video viewing apps, it determines that a newer model with a long battery life and a high-resolution camera is suitable.

[0722] Step 3:

[0723] Based on the analysis results, the server generates a scenario suited to the user. The scenario content not only introduces specific models, but also suggests new ways to use and lifestyles using those models. For example, it generates a message that reads, "Using new model B will make watching videos even more comfortable."

[0724] Step 4:

[0725] Based on the generated scenario, the server uses an AI image generation model to generate a manga. The manga includes scenes of the user using their current smartphone as well as scenes of them using a new model more conveniently. Specifically, the first frame depicts the user using their current model, the second frame introduces the new model, and the third frame depicts a scene of using the new model.

[0726] Step 5:

[0727] The server sends the generated manga to the user's device as a direct message (DM). This sending process includes distributing the DM via the Internet using the user's contact information (e.g., email address and phone number).

[0728] Step 6:

[0729] The device opens the received DM and displays the contents. The user interface is intuitive and designed to make it easy to read the manga-style DM.

[0730] Step 7:

[0731] By reading the DM, users can enjoy a manga in which they appear as the main character. In the process, information about the proposed models and services is conveyed visually and in an easy-to-understand manner, deepening users' understanding and interest in the proposed content.

[0732] Through these steps, users can receive information about products and services that are best suited to them through visually appealing manga-style direct mail, which attracts users' attention and contributes to promoting the use of services and products.

[0733] Example 1

[0734] 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."

[0735] Conventional user service suggestion systems have the problem of being unable to provide visually appealing content that is optimized for each individual user, which can lead to users not being interested in the suggestions, making it difficult to provide effective services or recommend products.

[0736] 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.

[0737] In this invention, the server includes means for acquiring personal information and contract information of a user, means for analyzing the acquired data to generate a scenario suitable for the user, means for generating visual media featuring the user as the protagonist based on the generated scenario, means for using a generative AI model used in generating the visual media, means for transmitting the generated visual media to the user's communication device, and means for the user to view the transmitted visual media, thereby making it possible to visually provide attractive content that is individually optimized for the user.

[0738] "User" refers to a customer who uses the system to provide personal information and contract information.

[0739] "Personal information" refers to information that identifies a specific individual, such as a user's name, age, or gender.

[0740] "Contract information" refers to information such as the service content that the user has subscribed to, the equipment used, the period of use, and the communication plan.

[0741] A "scenario" refers to a story that includes optimal suggestions for the user, created by analyzing the personal information and contract information acquired.

[0742] "Visual Media" refers to comic book-style and other visually-presented content that features the user as the protagonist.

[0743] "Generative AI model" refers to an artificial intelligence model used to generate scenarios or visual media.

[0744] "Communication device" refers to communication terminals used by users, such as smartphones, tablets, and personal computers.

[0745] "Means of acquisition" refers to the method by which the server collects users' personal information and contract information through a database or API.

[0746] "Means for analysis" refers to the method, analysis tools, and algorithms used by the server to analyze collected data and generate scenarios.

[0747] "Means for generating" refers to the method by which the server uses the generative AI model to create the visual media.

[0748] "Means for transmitting" refers to the method for transmitting the generated visual media to a user's communication device over the Internet or other communication means.

[0749] "Means for viewing" refers to the application or functionality that allows a user to view and view the received visual media.

[0750] This system consists of a series of steps: acquiring the user's personal information and contract information, analyzing the acquired data to generate an optimal scenario for the user, generating visual media with the user as the protagonist based on that scenario, and sending the generated visual media to the user's communication device.

[0751] Hardware and software used

[0752] The following hardware and software are required to implement this system.

[0753] server

[0754] Communication devices (smartphones, tablets, computers, etc.)

[0755] Database (storing user personal information and contract information)

[0756] Generative AI models (AI models for generating visual media)

[0757] Retrieving User Data

[0758] The server connects to the carrier's database using API or SQL queries to obtain the user's personal information and contract information, including the user's name, age, gender, device used, period of use, frequently used applications, and communication plan.

[0759] Generate a scenario

[0760] The server analyzes the acquired user data and generates individual scenarios based on the user's interests and current usage. This analysis uses data mining techniques and machine learning algorithms, and a generative AI model is used to generate the scenario. At this point, a prompt for scenario generation is input into the AI ​​model. For example, the prompt could be, "A 35-year-old user frequently uses video viewing apps and social media apps. Please generate a scenario that suggests a smartphone with a high-resolution camera and a large battery capacity."

[0761] Visual Media Generation

[0762] Based on the generated scenario, the server generates visual media (such as manga) with the user as the main character. Each frame of this visual media contains a scene and dialogue (dialogue). Specifically, it depicts a scene in which the user uses their current smartphone, a scene introducing their new smartphone, a scene in which they use the new smartphone, etc.

[0763] Direct mail delivery

[0764] The server then sends the generated visual media as a digital message (DM) to the user's communication device. This transmission is done over the Internet and is transmitted quickly using the HTTP protocol. The server also checks the status of the transmission and logs whether it was delivered correctly.

[0765] View users

[0766] The communication device notifies the user of the received DM. The user opens the DM and launches an application to display the visual media. This allows the user to read the visual media, in which they appear as the main character, and enjoy information about the suggested communication devices and services.

[0767] As a concrete example, the following prompt sentences can be input to a generative AI model:

[0768] "Generate a scenario where a 35-year-old user frequently uses video viewing apps and social media apps, and suggests a smartphone with a high-resolution camera and a large battery capacity."

[0769] "Generate a scenario where a user is using a new smartphone."

[0770] As a result, the system can provide users with visually appealing content and increase engagement.

[0771] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0772] Step 1: Get User Data

[0773] The server connects to the carrier's database and retrieves the user's personal information and contract information. An API endpoint or SQL query is used as input. Specifically, the server sends an API request to the database and retrieves data such as name, age, gender, device used, period of use, frequently used apps, and communication plan. The retrieved information is sent to the server in JSON or XML format and stored in temporary storage.

[0774] Step 2: Generate a scenario

[0775] The server analyzes the acquired user data and generates the optimal scenario for the user. The user data acquired in step 1 is used as input. Specifically, the server uses data analysis software (e.g., a Python data analysis library) to analyze the user's app usage frequency and communication plan. Next, a prompt for scenario generation is input into the generative AI model. For example, "A 35-year-old user frequently uses video viewing apps and social networking apps, so please generate a scenario that suggests a smartphone with a high-resolution camera and a large-capacity battery." The output is the optimal scenario for the user in text format.

[0776] Step 3: Generate visual media

[0777] Based on the generated scenario, the server generates visual media (manga) with the user as the main character. The scenario generated in step 2 is used as input. Specifically, the server calls the generative AI model, inputs the scenario text, and generates multiple manga panels. At this time, scenes and dialogue (dialogue) are automatically generated. As output, each panel is generated as an image file, forming a series of manga pages.

[0778] Step 4: Sending direct mail

[0779] The server sends the generated visual media as a direct mail to the user's communication device. The manga image file generated in step 3 is used as input. Specifically, the server uses an email sending service or messaging API (e.g., SMTP server, push notification service) to send the direct mail over the Internet. The output is the visual media sent to the user's communication device.

[0780] Step 5: View Users

[0781] The device notifies the user of the received DM. As input, the DM sent in step 4 is received. As a specific operation, the communication device displays a new message notification to notify the user of the arrival of the DM. The user opens the DM and launches an application to display the visual media. As output, the user can view the visual media in which they appear as the main character and obtain information about the proposed communication device and services.

[0782] The above series of steps allows us to provide users with individually optimized and visually appealing content.

[0783] (Application example 1)

[0784] 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."

[0785] With conventional advertising methods, it has been difficult to effectively deliver advertisements that are optimized for individual user interests. As a result, the effectiveness of advertisements has been limited, making it difficult to attract users' attention. In addition, there has been a lack of ways to deliver advertisements in a visually appealing format, and there has been a demand for effective advertising methods, especially for users using mobile devices.

[0786] 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.

[0787] In this invention, the server includes means for acquiring personal information and contract information of a user, means for analyzing the acquired data to generate a scenario suited to the user, means for generating a manga with the user as the main character based on the generated scenario, means for transmitting the generated manga to the user's terminal, means for the user to view the transmitted manga, means for generating advertising content as a scenario based on the analysis results, and means for generating an advertising manga based on the generated advertising scenario. This makes it possible to effectively provide visually appealing advertising manga based on the user's interests and concerns.

[0788] "User personal information" refers to information about an individual, such as the user's name, age, gender, address, and contact details.

[0789] "Contract information" refers to information such as the services and plans subscribed to by the user, the model used, the period of use, and frequently used apps.

[0790] "Means of analyzing data" refers to methods and algorithms for analyzing users' interests and concerns based on the acquired personal information and contract information of users.

[0791] "Scenario generation means" refers to a method for creating stories and proposals that are appropriate for users based on analyzed data.

[0792] "Means for generating manga" refers to a method of using AI models, etc. to create visual manga-style content based on a generated scenario.

[0793] "Means for sending to the terminal" refers to a method for distributing the generated manga to the user's terminal via the Internet.

[0794] "Means of viewing" refers to the method by which a user visually checks the manga sent through the device.

[0795] "Means for generating advertising content as a scenario" refers to a method for creating an advertising scenario for a product or service that is optimal for the user based on the analysis results.

[0796] The "means for generating advertising manga" is a method for creating visually appealing advertising manga based on the generated advertising scenario.

[0797] This system acquires a user's personal information and contract information, analyzes them to generate a scenario suited to the user, generates a manga with the user as the main character based on the scenario, and then transmits the manga to the user's device. In particular, the system aims to effectively deliver visually appealing advertisements to users by providing advertising content based on the analysis results in manga format.

[0798] The system includes the following means:

[0799] 1. Means of obtaining user personal information and contract information

[0800] The server connects to the carrier's database and obtains the user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and data plan.

[0801] 2. A means of analyzing the acquired data and generating scenarios suitable for the user

[0802] The server analyzes the acquired data and generates a personalized scenario based on the user's interests and current usage. For example, if the user frequently uses fitness-related apps, a scenario suggesting fitness supplements and training equipment will be generated.

[0803] 3. A method for generating a manga with the user as the main character based on the generated scenario

[0804] Based on the generated scenario, the server uses the AI ​​model to create manga panels (scenes), such as a scene depicting a user trying out a new fitness supplement or using training equipment.

[0805] 4. How to send the generated manga to the user's device

[0806] The server quickly transmits the generated manga to the user's device via the Internet, allowing the user to receive recommended products and services in a visually appealing format.

[0807] 5. How users can view the manga they have sent

[0808] The device opens the received DM, allowing the user to read a manga in which they appear as the main character, deepening their understanding and interest in the proposed product or service.

[0809] As a concrete example, consider a case where user ID "Yamada Ichiro" is interested in fitness. The server generates a manga with the story "Yamada Ichiro tries a new fitness supplement" and sends it to the user's device. An example of this prompt is as follows:

[0810] User ID = "Yamada Ichiro"

[0811] Generate a manga for the story "Ichiro Yamada tries a new fitness supplement"

[0812] In this way, the present invention can provide advertising content optimized to the user's interests and concerns in a visually appealing format, thereby increasing the effectiveness of advertising.

[0813] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0814] Step 1:

[0815] The server connects to the carrier's database and obtains the user's personal information and contract information. Specifically, it obtains data such as the user's name, age, gender, model used, period of use, frequently used apps, and communication plan. The input for this step is the user's ID, and the output is the obtained user's personal information and contract information.

[0816] Step 2:

[0817] The server analyzes the acquired data. First, it analyzes the user's interests and concerns, and then generates an individual scenario based on the user's current usage. For example, if the user frequently uses a fitness app, it generates a scenario that suggests fitness supplements and training equipment. The input of this step is the user's personal information and contract information acquired in step 1, and the output is a scenario appropriate for the user.

[0818] Step 3:

[0819] Based on the generated scenario, the server uses an AI model to generate a manga with the user as the main character. Specifically, it automatically creates manga panels (scenes) that fit the scenario. For example, a scene in which the user is trying out a new fitness supplement. The input for this step is the scenario generated in step 2, and the output is the generated manga.

[0820] Step 4:

[0821] The server sends the generated manga to the user's device via the Internet. Specifically, it sends the generated manga data to the user's email address or a dedicated app. The input for this step is the manga generated in step 3, and the output is the manga sent to the user's device.

[0822] Step 5:

[0823] The device displays the received manga. The user opens the DM on the device and reads the manga in which they appear as the main character. This deepens their understanding and interest in the proposed product or service. The input to this step is the manga sent in step 4, and the output is the manga displayed on the device.

[0824] Through the above processing steps, advertisements that interest each individual user can be effectively delivered in comic format, maximizing the effectiveness of the advertisements.

[0825] 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.

[0826] This invention provides a system that acquires a user's personal information and contract information, analyzes that information to generate a scenario suited to the user, and then generates a manga with the user as the main character based on that scenario and sends it to the user's device. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the system can adjust the scenario based on the user's emotions, allowing for more personalized suggestions.

[0827] Retrieving User Data

[0828] The server connects to the carrier's database to obtain the user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and data plan.

[0829] Generate a scenario

[0830] The server analyzes the acquired user data and generates individual scenarios based on the user's interests and current usage. Furthermore, the emotion engine takes into account the emotional data recognized through the user's input and reactions, and adjusts the scenario accordingly. For example, if the server determines that the user is feeling stressed, it generates a scenario that includes suggestions for apps and services that have a relaxing effect.

[0831] Manga Generation

[0832] The server generates a manga with the user as the main character based on the generated scenario. In this process, AI is used to create manga panels (scenes) based on the scenario. For example, it could depict a scene in which the user is holding their current smartphone or a scene in which they are using a new model more conveniently. It can also change the tone and story development of the manga based on emotions.

[0833] Direct mail delivery

[0834] The server then sends the generated manga to the user's device as a direct mail, which is sent via the Internet and is delivered to the user quickly.

[0835] View users

[0836] The device opens the received DM and displays its contents. By reading the manga in which the user appears as the main character, the user can visually enjoy information about the proposed models and services.

[0837] Specific examples

[0838] User contract information

[0839] Name: Yamada Ichiro

[0840] Age: 35

[0841] Current device: Smartphone A

[0842] Usage period: 3 years

[0843] Frequently used apps: Video viewing app B, SNS app C

[0844] Data plan: 50GB per month

[0845] Emotion recognition example

[0846] Emotional state: Stress

[0847] Inputs and reactions: Lots of unread messages, frequently used relaxation apps

[0848] Processing flow

[0849] 1. The server connects to the database and retrieves Yamada Ichiro's contract information, including the current model of device he is using, the period of use, frequently used apps, and his data plan.

[0850] 2. The server analyzes the acquired data and determines that Yamada Ichiro frequently uses video viewing app B and social media app C. At the same time, the emotion engine recognizes Yamada Ichiro's stress level and generates a scenario that suggests apps and services that have a relaxing effect.

[0851] 3. Based on the generated scenario, the server generates a manga in which Yamada Ichiro plays the main character. For example, the first panel might show Yamada Ichiro using his current device, the second panel might introduce a new device, and the third panel might show him using a relaxation app on the new device.

[0852] 4. The server sends the generated manga to Yamada Ichiro's device as a direct mail. It is quickly delivered via the Internet.

[0853] 5. After opening the DM received on the device, Ichiro Yamada reads it and enjoys the manga in which he is the main character. Through this process, he deepens his understanding and interest in the proposed relaxation app and new device.

[0854] As a result, the present invention can provide users with individually optimized content in a visually appealing format, improving the effectiveness of service offers from carriers. Personalized offers based on user sentiment further enhance the user experience.

[0855] The processing flow will be explained below.

[0856] Step 1:

[0857] The server connects to the carrier's database and retrieves the specific user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and communication plan.

[0858] Step 2:

[0859] The server uses an emotion engine to acquire emotion data from the user's device. The emotion engine analyzes the user's input and reactions, such as frequently used apps, number of unread messages, and time of day, to recognize the user's emotional state.

[0860] Step 3:

[0861] The server analyzes the acquired user data and emotional data. For example, if a user frequently uses a video viewing app and the emotion engine detects a state of stress, it generates a scenario to suggest apps and services that have a relaxing effect.

[0862] Step 4:

[0863] Based on the analysis results, the server generates a scenario tailored to the user, including content based on the user's usage patterns and emotional state, such as a suggestion for a new smartphone using a relaxation app.

[0864] Step 5:

[0865] The server then uses an AI image generation model to generate a manga based on the generated scenario. The manga includes scenes of the user using their current smartphone, introducing a new model, and using a relaxation app on the new model.

[0866] Step 6:

[0867] The server then sends the generated manga to the user's device as a direct mail, which is sent via the Internet for fast delivery.

[0868] Step 7:

[0869] The device opens the received DM and displays the contents. The user interface is intuitive and designed to make it easy to read the manga-style DM.

[0870] Step 8:

[0871] By reading the DM, users can enjoy the manga in which they appear as the main character, and in the process, they will gain a deeper understanding and interest in the proposed relaxation app or new device.

[0872] Through these steps, users can receive information about products and services that are best suited to them through visually appealing manga-style direct mail, which attracts users' attention and contributes to promoting the use of services and products. The introduction of an emotion engine enables personalized suggestions based on the user's emotional state, resulting in a better user experience.

[0873] Example 2

[0874] 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."

[0875] Conventional recommendation systems have difficulty providing personalized content because they do not fully consider the user's interests and emotions. In particular, the lack of suggestions based on the user's emotions has led to a lack of improvement in the user experience.

[0876] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0877] In this invention, the server includes means for acquiring personal information and contract information of a user, means for analyzing the acquired data to generate a scenario suited to the user, and means for using a generative AI model to generate visual content featuring the user as the protagonist based on the generated scenario, thereby enabling the rapid provision of visual content including personalized suggestions based on the user's emotions and usage status.

[0878] "User personal information" refers to individual attribute information such as the user's name, age, and gender.

[0879] "Contract information" refers to information about the contract a user has with a telecommunications carrier, specifically the device used, communication plan, period of use, etc.

[0880] "Means of retrieval" refers to the process or method by which the server accesses the database and retrieves the required information.

[0881] "Means of analysis" refers to the technology and process for analyzing acquired user data and generating scenarios based on the user's interests and concerns.

[0882] A "generative AI model" is an artificial intelligence model used for natural language processing and image generation, and refers to a tool for generating visual content based on a given scenario.

[0883] "Visual content" refers to comics and other image-based media that feature the user as the main character.

[0884] "Transmission Means" refers to the technology or method for transmitting the generated visual content to the user's device.

[0885] "Means for viewing" refers to the device or application that allows a User to view and review the received visual content.

[0886] "Device in use" refers to the device currently being used by the user, specifically a smartphone, tablet, etc.

[0887] "Continuous period of use" refers to the period during which a user uses a particular device or communication plan.

[0888] "Application Usage Frequency" refers to data that indicates how frequently users use each application.

[0889] The present invention is a system that analyzes a user's personal information and contract information, generates a scenario suitable for the user, and generates visual content with the user as the main character based on the scenario. This system includes elements of a server, a terminal, and the user.

[0890] First, the server connects to a database management system (e.g., MySQL, Oracle Database) to retrieve the user's personal information and contract information from the carrier's database. The data is retrieved using SQL queries and saved in JSON format. The retrieved personal information includes name, age, and gender, while contract information includes the device used, communication plan, and usage period.

[0891] The server then uses a Python-based data analysis library (e.g., Pandas) to analyze the acquired data. This analysis allows the server to understand the user's interests and current usage. The server also uses the Google Cloud Natural Language API for emotion recognition to acquire user emotional data. This data is acquired through user input and reactions. For example, if the user is judged to be under high stress, the server can generate a scenario that provides a relaxing effect.

[0892] After the scenario is generated, the server uses a generative AI model (e.g., OpenAI's GPT-4) to generate the scenario as a sentence. This sentence is used as a prompt for the visual content. Once the prompt is prepared, a render engine (e.g., Blender, Unity) is used to generate the visual content (e.g., manga panels) in image format. In this generation process, the user is depicted as the main character.

[0893] The generated visual content is then sent by the server to the user's device using the SMTP protocol and an API for in-app notifications, which allows for fast delivery.

[0894] The user's device will open the received DM and display the contents. Many devices use HTML5-compatible browsers to display the visual content, allowing the user to visually enjoy the content in which they themselves appear as the main character.

[0895] Specific examples

[0896] User contract information

[0897] Name: Taro Tanaka

[0898] Age: 30

[0899] Current device: Smartphone XYZ

[0900] Usage period: 2 years

[0901] Frequently used apps: Movie viewing app ABC, SNS app DEF

[0902] Data plan: 100GB per month

[0903] Emotion recognition example

[0904] Emotional state: Stress

[0905] Input and response: Frequent use of relaxation apps

[0906] Prompt Sentence Examples

[0907] "Taro Tanaka (age 30, smartphone XYZ, used for 2 years) has been feeling stressed recently. Since he frequently uses movie viewing app ABC and social media app DEF, generate a scenario suggesting a new smartphone and relaxation app to use to reduce stress, and create visual content with him as the main character."

[0908] In this way, the system of the present invention is able to provide users with personalized and visually appealing content by combining advanced data analysis and emotion recognition techniques.

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

[0910] Step 1: Obtaining user personal and contract information

[0911] The server connects to the carrier's database and retrieves the user's personal information and contract information. Specifically, it retrieves data by executing an SQL query on a database management system (e.g., MySQL, Oracle Database). The input is the database connection information and user ID, and the output is the user's name, age, gender, device used, period of use, frequently used apps, and communication plan information in JSON format.

[0912] Step 2: Analyze user data

[0913] The server uses an analysis engine (e.g., Pandas, a Python-based data analysis library) to analyze the acquired user data. The input is the JSON-formatted user data acquired in step 1, and the output is the user's interests, current usage, and emotional data. Specifically, the server performs data analysis and pattern recognition to extract the user's interests and usage trends.

[0914] Step 3: Obtaining emotion data

[0915] The server uses an emotion engine (e.g., Google Cloud Natural Language API) to obtain the user's emotional data. The input is the user's input and reactions, and by analyzing this, the output is the user's emotional state (e.g., stress, relaxation). Specific operations include analyzing text data and evaluating behavioral patterns.

[0916] Step 4: Generate a scenario

[0917] The server generates an optimal scenario for the user based on the acquired and analyzed data. The input is user data and emotional data, and the output is a scenario in the form of a prompt sentence. This scenario is customized based on the user's emotions and interests. Specifically, the scenario is automatically generated using a text generation engine.

[0918] Step 5: Generate visual content

[0919] The server uses a generative AI model (e.g., OpenAI's GPT-4) to generate visual content (e.g., manga panels) given a scenario as an input prompt. The input is the prompt text generated in step 4, and the output is a visualized manga panel. Specifically, the AI ​​model performs a text-to-image conversion process.

[0920] Step 6: Sending direct mail

[0921] The server sends the generated visual content to the user's device in the form of a direct message (email or in-app notification). The input is the visual content generated in step 5, and the output is the direct message delivered to the user's device. The specific operation involves the process of sending emails or notification messages using the SMTP protocol or API.

[0922] Step 7: View Users

[0923] The device opens the received DM and displays the visual content. The input is the received DM, and the output is a manga that the user can enjoy visually. Specifically, the DM is displayed in an HTML5-compatible browser. The user can visually enjoy a manga in which they appear as the main character.

[0924] The above are the specific processing steps of the program in this system.

[0925] (Application example 2)

[0926] 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."

[0927] Current content delivery services lack the ability to provide personalized content based on individual users' interests and emotions. This hinders the improvement of user experience and leads to problems such as a decline in service usage frequency and satisfaction. Conventional methods make it difficult to effectively utilize user emotions and real-time data, and in particular, have not been able to achieve advanced personalization that reflects changes in user emotions.

[0928] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0929] In this invention, the server includes means for acquiring personal information and contract information of a user, means for analyzing the acquired data to generate a scenario suited to the user, means for generating story-style content with the user as the protagonist based on the generated scenario, means for transmitting the generated content to the user's mobile communication terminal device, means for the user to view the transmitted content, and means for recognizing the user's emotions and adjusting the scenario based on those emotions, thereby making it possible to provide personalized and attractive content that matches the user's emotions and interests.

[0930] "User personal information" refers to data that identifies an individual, such as the user's name, age, and gender.

[0931] "Contract information" refers to data relating to the contents of the contract a user has with a telecommunications carrier, including information such as the communication plan and model used, and the contract period.

[0932] A "scenario" refers to the story development and structure of the content provided to users, and is generated based on the user's interests and emotions.

[0933] "Story-based content" refers to content that unfolds in the form of a story with the user as the main character, and includes formats such as manga and novels.

[0934] A "mobile communication terminal device" refers to an information device, such as a smartphone or tablet, that allows communication even while on the move.

[0935] "Means of recognizing emotions" refers to technologies and systems that can identify a user's emotions at any given time from their facial expressions, behavior, input data, etc.

[0936] "Means for adjusting scenarios based on emotions" refers to technologies and systems that change and optimize the content and tone of scenarios based on user emotional data.

[0937] This invention is a system that acquires a user's personal information and contract information, analyzes that information, and generates a scenario suited to the user. The system also generates story-style content with the user as the main character and transmits it to the user's mobile communication terminal. The system also has the function of recognizing the user's emotions and adjusting the scenario based on those emotions.

[0938] The specific configuration includes the following main components:

[0939] 1. Obtaining user data

[0940] The server connects to the carrier's database and obtains the user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and data plan.

[0941] 2. Acquiring Emotion Data

[0942] Using an emotion recognition engine (such as Emotion SDK) installed in a mobile communication terminal device (such as a smartphone), emotions are analyzed from the user's facial expressions, behavior, and input data.

[0943] 3. Scenario generation

[0944] The server analyzes the acquired user data and emotional data and generates individual scenarios using a scenario generation algorithm built with Python and TensorFlow.

[0945] Adapt the scenario taking into account data obtained through emotion recognition (for example, if the user is feeling stressed).

[0946] 4. Creating story-based content

[0947] Based on the generated scenario, the server uses a GAN model (using PyTorch) to generate a manga with the user as the main character. In this process, scenes and situations are depicted that fit the scenario.

[0948] 5. Submission of Content

[0949] The generated manga is sent to the user's mobile communication terminal device using a direct mail distribution function such as Firebase Cloud Messaging.

[0950] 6. User browsing

[0951] The user's mobile communication terminal displays the received content (manga) for the user to enjoy, thereby providing personalized information to the user.

[0952] Specific examples

[0953] Specific use case description:

[0954] User information: User A, age 30, model used: Smartphone Y, frequently used app: video viewing app X, duration of use: 2 years, emotional state: stress

[0955] Example prompt sentence:

[0956] Prompt: The server should analyze the user information and generate a personalized manga for User A.

[0957] User information: Name: User A, Age: 30, Model: Smartphone Y, Duration of use: 2 years, Favorite app: Video viewing app X, Emotional state: Stress

[0958] Scenario: User A is using a new relaxation app to relieve stress.

[0959] The hardware and software required to implement the present invention are as follows:

[0960] Hardware

[0961] Smartphone (iOS / Android compatible)

[0962] Server (storage and analysis of user data, manga generation)

[0963] software

[0964] Data acquisition communication module

[0965] Emotion Engine (Emotion SDK)

[0966] Scenario generation algorithm (Python, TensorFlow)

[0967] Manga generation AI (GAN model, PyTorch)

[0968] Direct mail delivery function (Firebase Cloud Messaging)

[0969] Smartphone app for users (Swift for iOS, Kotlin for Android)

[0970] This system makes it possible to provide personalized and attractive content that is tailored to the user's emotions and interests.

[0971] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0972] Step 1:

[0973] The server connects to the carrier's database to obtain the user's personal information and contract information.

[0974] Specifically, the server uses an API to retrieve information from the database, such as the user's name, age, gender, device type, period of use, frequently used apps, and data plan, while using a security protocol to protect the confidentiality of the data.

[0975] Input: User ID

[0976] Output: A dataset of user personal and contract information

[0977] Step 2:

[0978] The server analyzes the acquired user personal information and contract information and obtains the user's emotional data through an emotion recognition engine (such as Emotion SDK).

[0979] For example, the camera on the mobile communication terminal device can be used to analyze the user's facial expressions, and emotions can also be determined from the apps being used and character input patterns.

[0980] Input: User's personal information and contract information, camera footage, app usage data, character input data

[0981] Output: Emotion data (e.g., stress, relaxation, joy)

[0982] Step 3:

[0983] The server analyzes the acquired user data and emotional data based on a scenario generation algorithm using Python and TensorFlow, and generates a scenario appropriate for the user.

[0984] Here, models are applied to determine the storyline and content structure, taking into account the user's interests and emotional state.

[0985] Input: User's personal information, contract information, emotional data

[0986] Output: Personalized scenario

[0987] Step 4:

[0988] Based on the generated scenario, the server uses a GAN model (using PyTorch) to generate a manga with the user as the main character.

[0989] This process generates images for each scene in the scenario, creating a manga in which the user appears in specific actions and scenes.

[0990] Input: A personalized scenario

[0991] Output: Manga (image data) with the user as the main character

[0992] Step 5:

[0993] The server sends the generated manga to the user's mobile communication terminal device using a direct mail delivery function such as Firebase Cloud Messaging.

[0994] In this step, you set up triggers for immediate content delivery and notifications.

[0995] Input: Manga (image data) with the user as the main character

[0996] Output: Confirmation of transmission to the user's mobile communication terminal device

[0997] Step 6:

[0998] The user's mobile communication terminal opens the received DM and views the content.

[0999] Specifically, a notification will appear on the device, and when the user taps it, the manga viewing screen will open.

[1000] Input: Manga (image data) with the user as the main character

[1001] Output: Users can visually enjoy the manga

[1002] 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.

[1003] 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.

[1004] 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.

[1005] [Fourth embodiment]

[1006] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1007] 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.

[1008] 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).

[1009] 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.

[1010] 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.

[1011] 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).

[1012] 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. 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.

[1013] 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.

[1014] 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.

[1015] 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.

[1016] 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.

[1017] 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.

[1018] 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."

[1019] This system acquires a user's contract information and personal information, analyzes that information, creates a scenario suited to the user, and then generates a manga based on that scenario with the user as the main character, which is then sent to the user's device. This system allows the user to receive recommendations for optimal services and models in the form of a visually appealing manga.

[1020] Retrieving User Data

[1021] The server connects to the carrier's database to obtain the user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and communication plan.

[1022] Generate a scenario

[1023] The server analyzes the acquired user data and generates individual scenarios based on the user's interests and current usage. For example, if a user frequently uses apps like YouTube and Instagram, a scenario will be generated suggesting the latest smartphones with high-resolution cameras and large battery capacities.

[1024] Manga Generation

[1025] Based on the generated scenario, the server generates a manga with the user as the main character. In this process, AI is used to create manga panels (scenes) based on the scenario. For example, scenes depicting the user holding a smartphone or using a recommended model may be depicted.

[1026] Direct mail delivery

[1027] The server then sends the generated manga to the user's device as a direct mail, which is sent via the Internet and is delivered to the user quickly.

[1028] View users

[1029] The device opens the received DM and displays a manga, in which the user appears as the main character, allowing the user to visually enjoy information about the proposed model or service.

[1030] Specific examples

[1031] User contract information

[1032] Name: Yamada Ichiro

[1033] Age: 35

[1034] Current device: Smartphone A

[1035] Usage period: 3 years

[1036] Frequently used apps: Video viewing app B, SNS app C

[1037] Data plan: 50GB per month

[1038] Processing flow

[1039] 1. The server connects to the database and retrieves Yamada Ichiro's contract information, including the current model of device he is using, the period of use, frequently used apps, and his data plan.

[1040] 2. The server analyzes the acquired data and generates a scenario in which a new smartphone B featuring a high-resolution camera and a large-capacity battery is suggested based on Yamada Ichiro's frequent use of video viewing app B and social networking app C.

[1041] 3. The server uses the AI ​​image generation model to generate a manga based on a scenario in which Ichiro Yamada plays the main character. For example, the first panel might show Ichiro Yamada using his current smartphone, the second panel might show him introducing new smartphone B, and the third panel might show him using new smartphone B to enjoy video viewing app B and social networking app C.

[1042] 4. The server sends the generated manga to Yamada Ichiro's device as a direct mail. It is quickly delivered via the Internet.

[1043] 5. The device will display the received DM, and Yamada Ichiro can open it and read the manga in which he is the main character. This will deepen his understanding and interest in the proposed model and service.

[1044] As a result, the present invention can provide users with individually optimized content in a visually appealing format, thereby improving the effectiveness of carrier service offerings.

[1045] The processing flow will be explained below.

[1046] Step 1:

[1047] The server connects to the carrier's database and retrieves the specific user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and communication plan.

[1048] Step 2:

[1049] The server analyzes the acquired user data. For example, if the user is in their 30s and frequently uses video viewing apps, it determines that a newer model with a long battery life and a high-resolution camera is suitable.

[1050] Step 3:

[1051] Based on the analysis results, the server generates a scenario suited to the user. The scenario content not only introduces specific models, but also suggests new ways to use and lifestyles using those models. For example, it generates a message that reads, "Using new model B will make watching videos even more comfortable."

[1052] Step 4:

[1053] Based on the generated scenario, the server uses an AI image generation model to generate a manga. The manga includes scenes of the user using their current smartphone as well as scenes of them using a new model more conveniently. Specifically, the first frame depicts the user using their current model, the second frame introduces the new model, and the third frame depicts a scene of using the new model.

[1054] Step 5:

[1055] The server sends the generated manga to the user's device as a direct message (DM). This sending process includes distributing the DM via the Internet using the user's contact information (e.g., email address and phone number).

[1056] Step 6:

[1057] The device opens the received DM and displays the contents. The user interface is intuitive and designed to make it easy to read the manga-style DM.

[1058] Step 7:

[1059] By reading the DM, users can enjoy a manga in which they appear as the main character. In the process, information about the proposed models and services is conveyed visually and in an easy-to-understand manner, deepening users' understanding and interest in the proposed content.

[1060] Through these steps, users can receive information about products and services that are best suited to them through visually appealing manga-style direct mail, which attracts users' attention and contributes to promoting the use of services and products.

[1061] Example 1

[1062] 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."

[1063] Conventional user service suggestion systems have the problem of being unable to provide visually appealing content that is optimized for each individual user, which can lead to users not being interested in the suggestions, making it difficult to provide effective services or recommend products.

[1064] 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.

[1065] In this invention, the server includes means for acquiring personal information and contract information of a user, means for analyzing the acquired data to generate a scenario suitable for the user, means for generating visual media featuring the user as the protagonist based on the generated scenario, means for using a generative AI model used in generating the visual media, means for transmitting the generated visual media to the user's communication device, and means for the user to view the transmitted visual media, thereby making it possible to visually provide attractive content that is individually optimized for the user.

[1066] "User" refers to a customer who uses the system to provide personal information and contract information.

[1067] "Personal information" refers to information that identifies a specific individual, such as a user's name, age, or gender.

[1068] "Contract information" refers to information such as the service content that the user has subscribed to, the equipment used, the period of use, and the communication plan.

[1069] A "scenario" refers to a story that includes optimal suggestions for the user, created by analyzing the personal information and contract information acquired.

[1070] "Visual Media" refers to comic book-style and other visually-presented content that features the user as the protagonist.

[1071] "Generative AI model" refers to an artificial intelligence model used to generate scenarios or visual media.

[1072] "Communication device" refers to communication terminals used by users, such as smartphones, tablets, and personal computers.

[1073] "Means of acquisition" refers to the method by which the server collects users' personal information and contract information through a database or API.

[1074] "Means for analysis" refers to the method, analysis tools, and algorithms used by the server to analyze collected data and generate scenarios.

[1075] "Means for generating" refers to the method by which the server uses the generative AI model to create the visual media.

[1076] "Means for transmitting" refers to the method for transmitting the generated visual media to a user's communication device over the Internet or other communication means.

[1077] "Means for viewing" refers to the application or functionality that allows a user to view and view the received visual media.

[1078] This system consists of a series of steps: acquiring the user's personal information and contract information, analyzing the acquired data to generate an optimal scenario for the user, generating visual media with the user as the protagonist based on that scenario, and sending the generated visual media to the user's communication device.

[1079] Hardware and software used

[1080] The following hardware and software are required to implement this system.

[1081] server

[1082] Communication devices (smartphones, tablets, computers, etc.)

[1083] Database (storing user personal information and contract information)

[1084] Generative AI models (AI models for generating visual media)

[1085] Retrieving User Data

[1086] The server connects to the carrier's database using API or SQL queries to obtain the user's personal information and contract information, including the user's name, age, gender, device used, period of use, frequently used applications, and communication plan.

[1087] Generate a scenario

[1088] The server analyzes the acquired user data and generates individual scenarios based on the user's interests and current usage. This analysis uses data mining techniques and machine learning algorithms, and a generative AI model is used to generate the scenario. At this point, a prompt for scenario generation is input into the AI ​​model. For example, the prompt could be, "A 35-year-old user frequently uses video viewing apps and social media apps. Please generate a scenario that suggests a smartphone with a high-resolution camera and a large battery capacity."

[1089] Visual Media Generation

[1090] Based on the generated scenario, the server generates visual media (such as manga) with the user as the main character. Each frame of this visual media contains a scene and dialogue (dialogue). Specifically, it depicts a scene in which the user uses their current smartphone, a scene introducing their new smartphone, a scene in which they use the new smartphone, etc.

[1091] Direct mail delivery

[1092] The server then sends the generated visual media as a digital message (DM) to the user's communication device. This transmission is done over the Internet and is transmitted quickly using the HTTP protocol. The server also checks the status of the transmission and logs whether it was delivered correctly.

[1093] View users

[1094] The communication device notifies the user of the received DM. The user opens the DM and launches an application to display the visual media. This allows the user to read the visual media, in which they appear as the main character, and enjoy information about the suggested communication devices and services.

[1095] As a concrete example, the following prompt sentences can be input to a generative AI model:

[1096] "Generate a scenario where a 35-year-old user frequently uses video viewing apps and social media apps, and suggests a smartphone with a high-resolution camera and a large battery capacity."

[1097] "Generate a scenario where a user is using a new smartphone."

[1098] As a result, the system can provide users with visually appealing content and increase engagement.

[1099] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1100] Step 1: Get User Data

[1101] The server connects to the carrier's database and retrieves the user's personal information and contract information. An API endpoint or SQL query is used as input. Specifically, the server sends an API request to the database and retrieves data such as name, age, gender, device used, period of use, frequently used apps, and communication plan. The retrieved information is sent to the server in JSON or XML format and stored in temporary storage.

[1102] Step 2: Generate a scenario

[1103] The server analyzes the acquired user data and generates the optimal scenario for the user. The user data acquired in step 1 is used as input. Specifically, the server uses data analysis software (e.g., a Python data analysis library) to analyze the user's app usage frequency and communication plan. Next, a prompt for scenario generation is input into the generative AI model. For example, "A 35-year-old user frequently uses video viewing apps and social networking apps, so please generate a scenario that suggests a smartphone with a high-resolution camera and a large-capacity battery." The output is the optimal scenario for the user in text format.

[1104] Step 3: Generate visual media

[1105] Based on the generated scenario, the server generates visual media (manga) with the user as the main character. The scenario generated in step 2 is used as input. Specifically, the server calls the generative AI model, inputs the scenario text, and generates multiple manga panels. At this time, scenes and dialogue (dialogue) are automatically generated. As output, each panel is generated as an image file, forming a series of manga pages.

[1106] Step 4: Sending direct mail

[1107] The server sends the generated visual media as a direct mail to the user's communication device. The manga image file generated in step 3 is used as input. Specifically, the server uses an email sending service or messaging API (e.g., SMTP server, push notification service) to send the direct mail over the Internet. The output is the visual media sent to the user's communication device.

[1108] Step 5: View Users

[1109] The device notifies the user of the received DM. As input, the DM sent in step 4 is received. As a specific operation, the communication device displays a new message notification to notify the user of the arrival of the DM. The user opens the DM and launches an application to display the visual media. As output, the user can view the visual media in which they appear as the main character and obtain information about the proposed communication device and services.

[1110] The above series of steps allows us to provide users with individually optimized and visually appealing content.

[1111] (Application example 1)

[1112] 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."

[1113] With conventional advertising methods, it has been difficult to effectively deliver advertisements that are optimized for individual user interests. As a result, the effectiveness of advertisements has been limited, making it difficult to attract users' attention. In addition, there has been a lack of ways to deliver advertisements in a visually appealing format, and there has been a demand for effective advertising methods, especially for users using mobile devices.

[1114] 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.

[1115] In this invention, the server includes means for acquiring personal information and contract information of a user, means for analyzing the acquired data to generate a scenario suited to the user, means for generating a manga with the user as the main character based on the generated scenario, means for transmitting the generated manga to the user's terminal, means for the user to view the transmitted manga, means for generating advertising content as a scenario based on the analysis results, and means for generating an advertising manga based on the generated advertising scenario. This makes it possible to effectively provide visually appealing advertising manga based on the user's interests and concerns.

[1116] "User personal information" refers to information about an individual, such as the user's name, age, gender, address, and contact details.

[1117] "Contract information" refers to information such as the services and plans subscribed to by the user, the model used, the period of use, and frequently used apps.

[1118] "Means of analyzing data" refers to methods and algorithms for analyzing users' interests and concerns based on the acquired personal information and contract information of users.

[1119] "Scenario generation means" refers to a method for creating stories and proposals that are appropriate for users based on analyzed data.

[1120] "Means for generating manga" refers to a method of using AI models, etc. to create visual manga-style content based on a generated scenario.

[1121] "Means for sending to the terminal" refers to a method for distributing the generated manga to the user's terminal via the Internet.

[1122] "Means of viewing" refers to the method by which a user visually checks the manga sent through the device.

[1123] "Means for generating advertising content as a scenario" refers to a method for creating an advertising scenario for a product or service that is optimal for the user based on the analysis results.

[1124] The "means for generating advertising manga" is a method for creating visually appealing advertising manga based on the generated advertising scenario.

[1125] This system acquires a user's personal information and contract information, analyzes them to generate a scenario suited to the user, generates a manga with the user as the main character based on the scenario, and then transmits the manga to the user's device. In particular, the system aims to effectively deliver visually appealing advertisements to users by providing advertising content based on the analysis results in manga format.

[1126] The system includes the following means:

[1127] 1. Means of obtaining user personal information and contract information

[1128] The server connects to the carrier's database and obtains the user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and data plan.

[1129] 2. A means of analyzing the acquired data and generating scenarios suitable for the user

[1130] The server analyzes the acquired data and generates a personalized scenario based on the user's interests and current usage. For example, if the user frequently uses fitness-related apps, a scenario suggesting fitness supplements and training equipment will be generated.

[1131] 3. A method for generating a manga with the user as the main character based on the generated scenario

[1132] Based on the generated scenario, the server uses the AI ​​model to create manga panels (scenes), such as a scene depicting a user trying out a new fitness supplement or using training equipment.

[1133] 4. How to send the generated manga to the user's device

[1134] The server quickly transmits the generated manga to the user's device via the Internet, allowing the user to receive recommended products and services in a visually appealing format.

[1135] 5. How users can view the manga they have sent

[1136] The device opens the received DM, allowing the user to read a manga in which they appear as the main character, deepening their understanding and interest in the proposed product or service.

[1137] As a concrete example, consider a case where user ID "Yamada Ichiro" is interested in fitness. The server generates a manga with the story "Yamada Ichiro tries a new fitness supplement" and sends it to the user's device. An example of this prompt is as follows:

[1138] User ID = "Yamada Ichiro"

[1139] Generate a manga for the story "Ichiro Yamada tries a new fitness supplement"

[1140] In this way, the present invention can provide advertising content optimized to the user's interests and concerns in a visually appealing format, thereby increasing the effectiveness of advertising.

[1141] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1142] Step 1:

[1143] The server connects to the carrier's database and obtains the user's personal information and contract information. Specifically, it obtains data such as the user's name, age, gender, model used, period of use, frequently used apps, and communication plan. The input for this step is the user's ID, and the output is the obtained user's personal information and contract information.

[1144] Step 2:

[1145] The server analyzes the acquired data. First, it analyzes the user's interests and concerns, and then generates an individual scenario based on the user's current usage. For example, if the user frequently uses a fitness app, it generates a scenario that suggests fitness supplements and training equipment. The input of this step is the user's personal information and contract information acquired in step 1, and the output is a scenario appropriate for the user.

[1146] Step 3:

[1147] Based on the generated scenario, the server uses an AI model to generate a manga with the user as the main character. Specifically, it automatically creates manga panels (scenes) that fit the scenario. For example, a scene in which the user is trying out a new fitness supplement. The input for this step is the scenario generated in step 2, and the output is the generated manga.

[1148] Step 4:

[1149] The server sends the generated manga to the user's device via the Internet. Specifically, it sends the generated manga data to the user's email address or a dedicated app. The input for this step is the manga generated in step 3, and the output is the manga sent to the user's device.

[1150] Step 5:

[1151] The device displays the received manga. The user opens the DM on the device and reads the manga in which they appear as the main character. This deepens their understanding and interest in the proposed product or service. The input to this step is the manga sent in step 4, and the output is the manga displayed on the device.

[1152] Through the above processing steps, advertisements that interest each individual user can be effectively delivered in comic format, maximizing the effectiveness of the advertisements.

[1153] 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.

[1154] This invention provides a system that acquires a user's personal information and contract information, analyzes that information to generate a scenario suited to the user, and then generates a manga with the user as the main character based on that scenario and sends it to the user's device. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the system can adjust the scenario based on the user's emotions, allowing for more personalized suggestions.

[1155] Retrieving User Data

[1156] The server connects to the carrier's database to obtain the user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and data plan.

[1157] Generate a scenario

[1158] The server analyzes the acquired user data and generates individual scenarios based on the user's interests and current usage. Furthermore, the emotion engine takes into account the emotional data recognized through the user's input and reactions, and adjusts the scenario accordingly. For example, if the server determines that the user is feeling stressed, it generates a scenario that includes suggestions for apps and services that have a relaxing effect.

[1159] Manga Generation

[1160] The server generates a manga with the user as the main character based on the generated scenario. In this process, AI is used to create manga panels (scenes) based on the scenario. For example, it could depict a scene in which the user is holding their current smartphone or a scene in which they are using a new model more conveniently. It can also change the tone and story development of the manga based on emotions.

[1161] Direct mail delivery

[1162] The server then sends the generated manga to the user's device as a direct mail, which is sent via the Internet and is delivered to the user quickly.

[1163] View users

[1164] The device opens the received DM and displays its contents. By reading the manga in which the user appears as the main character, the user can visually enjoy information about the proposed models and services.

[1165] Specific examples

[1166] User contract information

[1167] Name: Yamada Ichiro

[1168] Age: 35

[1169] Current device: Smartphone A

[1170] Usage period: 3 years

[1171] Frequently used apps: Video viewing app B, SNS app C

[1172] Data plan: 50GB per month

[1173] Emotion recognition example

[1174] Emotional state: Stress

[1175] Inputs and reactions: Lots of unread messages, frequently used relaxation apps

[1176] Processing flow

[1177] 1. The server connects to the database and retrieves Yamada Ichiro's contract information, including the current model of device he is using, the period of use, frequently used apps, and his data plan.

[1178] 2. The server analyzes the acquired data and determines that Yamada Ichiro frequently uses video viewing app B and social media app C. At the same time, the emotion engine recognizes Yamada Ichiro's stress level and generates a scenario that suggests apps and services that have a relaxing effect.

[1179] 3. Based on the generated scenario, the server generates a manga in which Yamada Ichiro plays the main character. For example, the first panel might show Yamada Ichiro using his current device, the second panel might introduce a new device, and the third panel might show him using a relaxation app on the new device.

[1180] 4. The server sends the generated manga to Yamada Ichiro's device as a direct mail. It is quickly delivered via the Internet.

[1181] 5. After opening the DM received on the device, Ichiro Yamada reads it and enjoys the manga in which he is the main character. Through this process, he deepens his understanding and interest in the proposed relaxation app and new device.

[1182] As a result, the present invention can provide users with individually optimized content in a visually appealing format, improving the effectiveness of service offers from carriers. Personalized offers based on user sentiment further enhance the user experience.

[1183] The processing flow will be explained below.

[1184] Step 1:

[1185] The server connects to the carrier's database and retrieves the specific user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and communication plan.

[1186] Step 2:

[1187] The server uses an emotion engine to acquire emotion data from the user's device. The emotion engine analyzes the user's input and reactions, such as frequently used apps, number of unread messages, and time of day, to recognize the user's emotional state.

[1188] Step 3:

[1189] The server analyzes the acquired user data and emotional data. For example, if a user frequently uses a video viewing app and the emotion engine detects a state of stress, it generates a scenario to suggest apps and services that have a relaxing effect.

[1190] Step 4:

[1191] Based on the analysis results, the server generates a scenario tailored to the user, including content based on the user's usage patterns and emotional state, such as a suggestion for a new smartphone using a relaxation app.

[1192] Step 5:

[1193] The server then uses an AI image generation model to generate a manga based on the generated scenario. The manga includes scenes of the user using their current smartphone, introducing a new model, and using a relaxation app on the new model.

[1194] Step 6:

[1195] The server then sends the generated manga to the user's device as a direct mail, which is sent via the Internet for fast delivery.

[1196] Step 7:

[1197] The device opens the received DM and displays the contents. The user interface is intuitive and designed to make it easy to read the manga-style DM.

[1198] Step 8:

[1199] By reading the DM, users can enjoy the manga in which they appear as the main character, and in the process, they will gain a deeper understanding and interest in the proposed relaxation app or new device.

[1200] Through these steps, users can receive information about products and services that are best suited to them through visually appealing manga-style direct mail, which attracts users' attention and contributes to promoting the use of services and products. The introduction of an emotion engine enables personalized suggestions based on the user's emotional state, resulting in a better user experience.

[1201] Example 2

[1202] 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."

[1203] Conventional recommendation systems have difficulty providing personalized content because they do not fully consider the user's interests and emotions. In particular, the lack of suggestions based on the user's emotions has led to a lack of improvement in the user experience.

[1204] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1205] In this invention, the server includes means for acquiring personal information and contract information of a user, means for analyzing the acquired data to generate a scenario suited to the user, and means for using a generative AI model to generate visual content featuring the user as the protagonist based on the generated scenario, thereby enabling the rapid provision of visual content including personalized suggestions based on the user's emotions and usage status.

[1206] "User personal information" refers to individual attribute information such as the user's name, age, and gender.

[1207] "Contract information" refers to information about the contract a user has with a telecommunications carrier, specifically the device used, communication plan, period of use, etc.

[1208] "Means of retrieval" refers to the process or method by which the server accesses the database and retrieves the required information.

[1209] "Means of analysis" refers to the technology and process for analyzing acquired user data and generating scenarios based on the user's interests and concerns.

[1210] A "generative AI model" is an artificial intelligence model used for natural language processing and image generation, and refers to a tool for generating visual content based on a given scenario.

[1211] "Visual content" refers to comics and other image-based media that feature the user as the main character.

[1212] "Transmission Means" refers to the technology or method for transmitting the generated visual content to the user's device.

[1213] "Means for viewing" refers to the device or application that allows a User to view and review the received visual content.

[1214] "Device in use" refers to the device currently being used by the user, specifically a smartphone, tablet, etc.

[1215] "Continuous period of use" refers to the period during which a user uses a particular device or communication plan.

[1216] "Application Usage Frequency" refers to data that indicates how frequently users use each application.

[1217] The present invention is a system that analyzes a user's personal information and contract information, generates a scenario suitable for the user, and generates visual content with the user as the main character based on the scenario. This system includes elements of a server, a terminal, and the user.

[1218] First, the server connects to a database management system (e.g., MySQL, Oracle Database) to retrieve the user's personal information and contract information from the carrier's database. The data is retrieved using SQL queries and saved in JSON format. The retrieved personal information includes name, age, and gender, while contract information includes the device used, communication plan, and usage period.

[1219] The server then uses a Python-based data analysis library (e.g., Pandas) to analyze the acquired data. This analysis allows the server to understand the user's interests and current usage. The server also uses the Google Cloud Natural Language API for emotion recognition to acquire user emotional data. This data is acquired through user input and reactions. For example, if the user is judged to be under high stress, the server can generate a scenario that provides a relaxing effect.

[1220] After the scenario is generated, the server uses a generative AI model (e.g., OpenAI's GPT-4) to generate the scenario as a sentence. This sentence is used as a prompt for the visual content. Once the prompt is prepared, a render engine (e.g., Blender, Unity) is used to generate the visual content (e.g., manga panels) in image format. In this generation process, the user is depicted as the main character.

[1221] The generated visual content is then sent by the server to the user's device using the SMTP protocol and an API for in-app notifications, which allows for fast delivery.

[1222] The user's device will open the received DM and display the contents. Many devices use HTML5-compatible browsers to display the visual content, allowing the user to visually enjoy the content in which they themselves appear as the main character.

[1223] Specific examples

[1224] User contract information

[1225] Name: Taro Tanaka

[1226] Age: 30

[1227] Current device: Smartphone XYZ

[1228] Usage period: 2 years

[1229] Frequently used apps: Movie viewing app ABC, SNS app DEF

[1230] Data plan: 100GB per month

[1231] Emotion recognition example

[1232] Emotional state: Stress

[1233] Input and response: Frequent use of relaxation apps

[1234] Prompt Sentence Examples

[1235] "Taro Tanaka (age 30, smartphone XYZ, used for 2 years) has been feeling stressed recently. Since he frequently uses movie viewing app ABC and social media app DEF, generate a scenario suggesting a new smartphone and relaxation app to use to reduce stress, and create visual content with him as the main character."

[1236] In this way, the system of the present invention is able to provide users with personalized and visually appealing content by combining advanced data analysis and emotion recognition techniques.

[1237] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1238] Step 1: Obtaining user personal and contract information

[1239] The server connects to the carrier's database and retrieves the user's personal information and contract information. Specifically, it retrieves data by executing an SQL query on a database management system (e.g., MySQL, Oracle Database). The input is the database connection information and user ID, and the output is the user's name, age, gender, device used, period of use, frequently used apps, and communication plan information in JSON format.

[1240] Step 2: Analyze user data

[1241] The server uses an analysis engine (e.g., Pandas, a Python-based data analysis library) to analyze the acquired user data. The input is the JSON-formatted user data acquired in step 1, and the output is the user's interests, current usage, and emotional data. Specifically, the server performs data analysis and pattern recognition to extract the user's interests and usage trends.

[1242] Step 3: Obtaining emotion data

[1243] The server uses an emotion engine (e.g., Google Cloud Natural Language API) to obtain the user's emotional data. The input is the user's input and reactions, and by analyzing this, the output is the user's emotional state (e.g., stress, relaxation). Specific operations include analyzing text data and evaluating behavioral patterns.

[1244] Step 4: Generate a scenario

[1245] The server generates an optimal scenario for the user based on the acquired and analyzed data. The input is user data and emotional data, and the output is a scenario in the form of a prompt sentence. This scenario is customized based on the user's emotions and interests. Specifically, the scenario is automatically generated using a text generation engine.

[1246] Step 5: Generate visual content

[1247] The server uses a generative AI model (e.g., OpenAI's GPT-4) to generate visual content (e.g., manga panels) given a scenario as an input prompt. The input is the prompt text generated in step 4, and the output is a visualized manga panel. Specifically, the AI ​​model performs a text-to-image conversion process.

[1248] Step 6: Sending direct mail

[1249] The server sends the generated visual content to the user's device in the form of a direct message (email or in-app notification). The input is the visual content generated in step 5, and the output is the direct message delivered to the user's device. The specific operation involves the process of sending emails or notification messages using the SMTP protocol or API.

[1250] Step 7: View Users

[1251] The device opens the received DM and displays the visual content. The input is the received DM, and the output is a manga that the user can enjoy visually. Specifically, the DM is displayed in an HTML5-compatible browser. The user can visually enjoy a manga in which they appear as the main character.

[1252] The above are the specific processing steps of the program in this system.

[1253] (Application example 2)

[1254] 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."

[1255] Current content delivery services lack the ability to provide personalized content based on individual users' interests and emotions. This hinders the improvement of user experience and leads to problems such as a decline in service usage frequency and satisfaction. Conventional methods make it difficult to effectively utilize user emotions and real-time data, and in particular, have not been able to achieve advanced personalization that reflects changes in user emotions.

[1256] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1257] In this invention, the server includes means for acquiring personal information and contract information of a user, means for analyzing the acquired data to generate a scenario suited to the user, means for generating story-style content with the user as the protagonist based on the generated scenario, means for transmitting the generated content to the user's mobile communication terminal device, means for the user to view the transmitted content, and means for recognizing the user's emotions and adjusting the scenario based on those emotions, thereby making it possible to provide personalized and attractive content that matches the user's emotions and interests.

[1258] "User personal information" refers to data that identifies an individual, such as the user's name, age, and gender.

[1259] "Contract information" refers to data relating to the contents of the contract a user has with a telecommunications carrier, including information such as the communication plan and model used, and the contract period.

[1260] A "scenario" refers to the story development and structure of the content provided to users, and is generated based on the user's interests and emotions.

[1261] "Story-based content" refers to content that unfolds in the form of a story with the user as the main character, and includes formats such as manga and novels.

[1262] A "mobile communication terminal device" refers to an information device, such as a smartphone or tablet, that allows communication even while on the move.

[1263] "Means of recognizing emotions" refers to technologies and systems that can identify a user's emotions at any given time from their facial expressions, behavior, input data, etc.

[1264] "Means for adjusting scenarios based on emotions" refers to technologies and systems that change and optimize the content and tone of scenarios based on user emotional data.

[1265] This invention is a system that acquires a user's personal information and contract information, analyzes that information, and generates a scenario suited to the user. The system also generates story-style content with the user as the main character and transmits it to the user's mobile communication terminal. The system also has the function of recognizing the user's emotions and adjusting the scenario based on those emotions.

[1266] The specific configuration includes the following main components:

[1267] 1. Obtaining user data

[1268] The server connects to the carrier's database and obtains the user's personal information and contract information, including the user's name, age, gender, model of device used, period of use, frequently used apps, and data plan.

[1269] 2. Acquiring Emotion Data

[1270] Using an emotion recognition engine (such as Emotion SDK) installed in a mobile communication terminal device (such as a smartphone), emotions are analyzed from the user's facial expressions, behavior, and input data.

[1271] 3. Scenario generation

[1272] The server analyzes the acquired user data and emotional data and generates individual scenarios using a scenario generation algorithm built with Python and TensorFlow.

[1273] Adapt the scenario taking into account data obtained through emotion recognition (for example, if the user is feeling stressed).

[1274] 4. Creating story-based content

[1275] Based on the generated scenario, the server uses a GAN model (using PyTorch) to generate a manga with the user as the main character. In this process, scenes and situations are depicted that fit the scenario.

[1276] 5. Submission of Content

[1277] The generated manga is sent to the user's mobile communication terminal device using a direct mail distribution function such as Firebase Cloud Messaging.

[1278] 6. User browsing

[1279] The user's mobile communication terminal displays the received content (manga) for the user to enjoy, thereby providing personalized information to the user.

[1280] Specific examples

[1281] Specific use case description:

[1282] User information: User A, age 30, model used: Smartphone Y, frequently used app: video viewing app X, duration of use: 2 years, emotional state: stress

[1283] Example prompt sentence:

[1284] Prompt: The server should analyze the user information and generate a personalized manga for User A.

[1285] User information: Name: User A, Age: 30, Model: Smartphone Y, Duration of use: 2 years, Favorite app: Video viewing app X, Emotional state: Stress

[1286] Scenario: User A is using a new relaxation app to relieve stress.

[1287] The hardware and software required to implement the present invention are as follows:

[1288] Hardware

[1289] Smartphone (iOS / Android compatible)

[1290] Server (storage and analysis of user data, manga generation)

[1291] software

[1292] Data acquisition communication module

[1293] Emotion Engine (Emotion SDK)

[1294] Scenario generation algorithm (Python, TensorFlow)

[1295] Manga generation AI (GAN model, PyTorch)

[1296] Direct mail delivery function (Firebase Cloud Messaging)

[1297] Smartphone app for users (Swift for iOS, Kotlin for Android)

[1298] This system makes it possible to provide personalized and attractive content that is tailored to the user's emotions and interests.

[1299] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1300] Step 1:

[1301] The server connects to the carrier's database to obtain the user's personal information and contract information.

[1302] Specifically, the server uses an API to retrieve information from the database, such as the user's name, age, gender, device type, period of use, frequently used apps, and data plan, while using a security protocol to protect the confidentiality of the data.

[1303] Input: User ID

[1304] Output: A dataset of user personal and contract information

[1305] Step 2:

[1306] The server analyzes the acquired user personal information and contract information and obtains the user's emotional data through an emotion recognition engine (such as Emotion SDK).

[1307] For example, the camera on the mobile communication terminal device can be used to analyze the user's facial expressions, and emotions can also be determined from the apps being used and character input patterns.

[1308] Input: User's personal information and contract information, camera footage, app usage data, character input data

[1309] Output: Emotion data (e.g., stress, relaxation, joy)

[1310] Step 3:

[1311] The server analyzes the acquired user data and emotional data based on a scenario generation algorithm using Python and TensorFlow, and generates a scenario appropriate for the user.

[1312] Here, models are applied to determine the storyline and content structure, taking into account the user's interests and emotional state.

[1313] Input: User's personal information, contract information, emotional data

[1314] Output: Personalized scenario

[1315] Step 4:

[1316] Based on the generated scenario, the server uses a GAN model (using PyTorch) to generate a manga with the user as the main character.

[1317] This process generates images for each scene in the scenario, creating a manga in which the user appears in specific actions and scenes.

[1318] Input: A personalized scenario

[1319] Output: Manga (image data) with the user as the main character

[1320] Step 5:

[1321] The server sends the generated manga to the user's mobile communication terminal device using a direct mail delivery function such as Firebase Cloud Messaging.

[1322] In this step, you set up triggers for immediate content delivery and notifications.

[1323] Input: Manga (image data) with the user as the main character

[1324] Output: Confirmation of transmission to the user's mobile communication terminal device

[1325] Step 6:

[1326] The user's mobile communication terminal opens the received DM and views the content.

[1327] Specifically, a notification will appear on the device, and when the user taps it, the manga viewing screen will open.

[1328] Input: Manga (image data) with the user as the main character

[1329] Output: Users can visually enjoy the manga

[1330] 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.

[1331] 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.

[1332] 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.

[1333] 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.

[1334] 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.

[1335] 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.

[1336] 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).

[1337] 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.

[1338] 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."

[1339] 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.

[1340] 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).

[1341] 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.

[1342] 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.

[1343] 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.

[1344] 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.

[1345] 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.

[1346] 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.

[1347] 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.

[1348] 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.

[1349] 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.

[1350] 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.

[1351] The following is further disclosed regarding the above embodiment.

[1352] (Claim 1)

[1353] A means of obtaining personal information and contract information of users;

[1354] A means for analyzing the acquired data and generating a scenario suitable for the user;

[1355] A means for generating a manga with the user as the main character based on the generated scenario;

[1356] A means for transmitting the generated manga to the user's device;

[1357] A means for users to view the submitted manga;

[1358] A system including:

[1359] (Claim 2)

[1360] The system according to claim 1, wherein at least one of the acquired data is selected from the user's model of device, period of use, and frequency of application use.

[1361] (Claim 3)

[1362] The system according to claim 1, wherein the content of the generated manga includes recommended models for the user, when to upgrade to a new model, and recommended applications.

[1363] "Example 1"

[1364] (Claim 1)

[1365] A means of obtaining personal information and contract information of users;

[1366] A means for analyzing the acquired data and generating a scenario suitable for the user;

[1367] A means for generating visual media in which the user is the protagonist based on the generated scenario;

[1368] a means for using a generative AI model for use in generating the visual media;

[1369] means for transmitting the generated visual media to a user's communication device;

[1370] a means for the user to view the transmitted visual media;

[1371] A system including:

[1372] (Claim 2)

[1373] 2. The system according to claim 1, wherein at least one of the acquired data is selected from the user's communication terminal, period of use, and frequency of application use.

[1374] (Claim 3)

[1375] 2. The system according to claim 1, wherein the content of the generated visual media includes recommended communication devices for the user, a time to change communication devices, and recommended applications.

[1376] "Application Example 1"

[1377] (Claim 1)

[1378] A means of obtaining personal information and contract information of users;

[1379] A means for analyzing the acquired data and generating a scenario suitable for the user;

[1380] A means for generating a manga with the user as the main character based on the generated scenario;

[1381] A means for transmitting the generated manga to the user's device;

[1382] A means for users to view the submitted manga;

[1383] A means for generating advertising content as a scenario based on the analysis results;

[1384] means for generating an advertising manga based on the generated advertising scenario;

[1385] A system including:

[1386] (Claim 2)

[1387] The system according to claim 1, wherein at least one of the acquired data is selected from the user's model of device, period of use, and frequency of application use.

[1388] (Claim 3)

[1389] The system according to claim 1, wherein the content of the generated manga includes recommended models for the user, when to upgrade to a new model, and recommended applications.

[1390] (Claim 4)

[1391] 2. The system of claim 1, wherein the generated advertising manga includes an introduction to a product or service for the user.

[1392] "Example 2: Combining Emotion Engines"

[1393] (Claim 1)

[1394] A means of obtaining personal information and contract information of users;

[1395] A means for analyzing the acquired data and generating a scenario suitable for the user;

[1396] a means for generating user-protagonist visual content based on the generated scenario using the generative AI model; and

[1397] means for transmitting the generated visual content to a user's terminal;

[1398] A means by which users can view the transmitted visual content;

[1399] A system including:

[1400] (Claim 2)

[1401] 2. The system according to claim 1, wherein at least one of the acquired data is selected from the user's device used, duration of use, and frequency of application use.

[1402] (Claim 3)

[1403] The system according to claim 1, wherein the content of the generated visual content includes recommended devices for the user, when to change devices, and recommended applications.

[1404] "Application example 2 when combining emotion engines"

[1405] (Claim 1)

[1406] A means of obtaining personal information and contract information of users;

[1407] A means for analyzing the acquired data and generating a scenario suitable for the user;

[1408] A means for generating story-style content in which the user is the main character based on the generated scenario;

[1409] means for transmitting the generated content to a user's mobile communication terminal;

[1410] A means by which users can view the submitted content;

[1411] a means of recognizing a user's emotions and adjusting the scenario based on those emotions;

[1412] A system including:

[1413] (Claim 2)

[1414] 2. The system according to claim 1, wherein at least one of the acquired data is selected from the user's communication device, the number of years of use, and the frequency of program use.

[1415] (Claim 3)

[1416] 2. The system according to claim 1, wherein the generated content includes recommended communication devices for the user, when to replace the communication devices, and recommended programs. [Explanation of symbols]

[1417] 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 means of obtaining personal information and contract information of users; A means for analyzing the acquired data and generating a scenario suitable for the user; A means for generating a manga with the user as the main character based on the generated scenario; A means for transmitting the generated manga to the user's device; A means for users to view the submitted manga; A system including:

2. The system according to claim 1, wherein at least one of the acquired data is selected from the user's model of use, period of use, and frequency of application use.

3. The system according to claim 1, wherein the content of the generated manga includes recommended models for the user, timing for model changes, and recommended applications.

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