system

Abstract

We provide the system. [Solution] Means for receiving input data, A means for transmitting received input data to a generating artificial intelligence, A means for receiving documents generated by artificial intelligence, A means of formatting the received generated document and sending it back to the terminal, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of the chatbot's 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] When transmitting information outside the company, users often have troubles such as where to start and what information should be included. Also, creating high-quality documents requires specialized knowledge and time, which is not efficient. Especially in companies where press releases of new products and services occur frequently, this problem is serious. A method that can solve these problems and enable users to easily and quickly create high-quality documents for external use is required.

Means for Solving the Problems

[0005] The present invention provides a system that includes means for receiving input data, means for transmitting the received input data to a generating artificial intelligence, means for receiving a document generated by the generating artificial intelligence, and means for formatting the received generated document and returning it to a terminal. With this system, the user only needs to input necessary information such as the purpose of the document, target audience, key points, and desired format, and the generating artificial intelligence will automatically generate a high-quality document. This allows the user to efficiently create documents for information dissemination, thus overcoming conventional challenges.

[0006] "Input data" refers to the information provided by the user for document creation, including the purpose, target audience, key points, and desired format.

[0007] "Means of receiving data" refers to methods and devices for acquiring input data from a user terminal, and includes mechanisms for acquiring data via a network.

[0008] "Generative artificial intelligence" refers to an artificial intelligence system that generates appropriate documents based on input data, such as those using natural language processing technology.

[0009] "Means of transmission" refers to methods or devices for passing received input data to the generating artificial intelligence, and uses formats such as API requests.

[0010] "Generated documents" refer to text data created by the generation artificial intelligence based on the provided input data, and include content tailored to the user's requirements.

[0011] "Formatting means" refers to methods or devices for conforming a generated document to a specified format or template, and includes processes for adjusting the appearance of the document.

[0012] A "terminal" refers to an electronic device used by a user to input information, and includes personal computers, smartphones, tablets, and other similar devices. [Brief explanation of the drawing]

[0013] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, when an emotion engine is combined. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying Out the Invention

[0014] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0015] First, the terms used in the following description will be explained.

[0016] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0017] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0018] In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0019] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0020] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0021] [First Embodiment]

[0022] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0023] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0024] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0025] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0026] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0027] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0028] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0029] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0031] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0032] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0033] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0034] This invention is a system that allows users to efficiently create documents for disseminating information outside the company, and the processing of the program is described in detail below.

[0035] System Configuration

[0036] This system basically consists of a user terminal, a server, and a generating artificial intelligence (AI). The user uses the terminal to input the information necessary for document creation, and the server transmits that information to the generating AI to generate the document.

[0037] Program processing

[0038] 1. The user enters information into the terminal.

[0039] The user enters necessary information such as the document's purpose, target audience, key points, and desired format into an input form on their device.

[0040] 2. The server receives the input data.

[0041] The server receives input data sent from the terminal. For example, an HTTP POST request might be used for this purpose.

[0042] 3. The server sends data to the generated artificial intelligence.

[0043] The server converts the received input data into an appropriate format (e.g., JSON) and sends it to the generation AI API.

[0044] 4. Generative artificial intelligence generates documents.

[0045] Generative artificial intelligence generates documents based on input data. For example, it can use natural language processing techniques to generate press release documents.

[0046] 5. The server receives the generated document.

[0047] The server receives a document generated by artificial intelligence. This document is customized based on the information entered by the user.

[0048] 6. The server formats the document and sends it to the terminal.

[0049] The server formats the generated document as needed and sends it back to the user's terminal. This is where the document formatting is adjusted.

[0050] 7. Users review and edit documents.

[0051] The user reviews the document displayed on their device and makes revisions as needed. This completes the final external document.

[0052] Specific example

[0053] Creating a press release for a new product

[0054] 1. The user enters the information into the terminal.

[0055] Enter the purpose (press release for a new product), target audience (consumers, media), key points (new features, same-day delivery, first-time customer discount), and format (formal).

[0056] 2. The server receives the input data.

[0057] It receives and analyzes data sent from the terminal.

[0058] 3. The server sends data to the generated artificial intelligence.

[0059] The data is converted to JSON format and sent to the artificial intelligence as an API request.

[0060] 4. Generative artificial intelligence generates documents.

[0061] The AI ​​generates press release documents. For example, it might generate content such as, "We are launching our new product, 'ABC'. ABC features new functions and is eligible for same-day delivery and a first-time purchase discount."

[0062] 5. The server receives the generated document.

[0063] The generated document is received as an API response.

[0064] 6. The server formats the document and sends it to the terminal.

[0065] Format the generated document and send it to the user's terminal.

[0066] 7. Users review and edit documents.

[0067] Review the document displayed on the terminal, make any necessary corrections, and then send the completed document outside the company.

[0068] In this way, a system is created that allows users to create high-quality documents quickly and easily.

[0069] The following describes the processing flow.

[0070] Step 1:

[0071] The user displays an input form. The user opens a dedicated application or web page on their device and displays an input form for submitting information.

[0072] Step 2:

[0073] The user enters the information. The user enters necessary information such as the document's purpose, target audience, key points, and desired format into the input form.

[0074] Step 3:

[0075] The user clicks the submit button. After completing the input, the user clicks the "Submit" button to send the data from their device to the server.

[0076] Step 4:

[0077] The terminal sends the input data to the server. The terminal sends the input data to the server in the form of an HTTP POST request or similar.

[0078] Step 5:

[0079] The server receives the request. The server receives the request sent from the terminal and parses the input data.

[0080] Step 6:

[0081] The server converts the data into a format that can be passed to the generating AI. The server analyzes the received input data and converts it into a format suitable for generating artificial intelligence (e.g., JSON format).

[0082] Step 7:

[0083] The server sends an API request to the generating AI. The server sends a request containing formatted data to the generating AI's API.

[0084] Step 8:

[0085] The generative AI generates documents. The generative AI generates documents based on the provided input data. For example, it can automatically generate detailed information about new products or press releases targeted at specific audiences.

[0086] Step 9:

[0087] The generation AI sends the generated document back to the server. The generation AI sends the completed document back to the server as an API response.

[0088] Step 10:

[0089] The server receives the generated document. The server receives the document returned from the generating AI and analyzes its contents.

[0090] Step 11:

[0091] The server formats the generated document. The server formats the received document according to the user's requirements and reshapes it as needed.

[0092] Step 12:

[0093] The server formats the document and sends it to the user's terminal. This is done, for example, using an HTTP response.

[0094] Step 13:

[0095] The terminal displays the document. The terminal visually displays the document received from the server to the user.

[0096] Step 14:

[0097] The user reviews the document. The user reviews the displayed document and makes corrections as needed.

[0098] Step 15:

[0099] The user completes the final document. The user finalizes the revised document as the final external document.

[0100] (Example 1)

[0101] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0102] Traditional document creation systems had the problem that users had to spend a great deal of time and effort creating documents from scratch. Furthermore, creating documents, especially for external use, required specialized knowledge and skills, making it difficult to quickly produce high-quality documents.

[0103] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0104] In this invention, the server includes means for the user to input information necessary for document creation into a terminal, means for receiving input data transmitted from the terminal, and means for converting the received input data into an appropriate format and transmitting it to the generative artificial intelligence. This makes it possible for users to quickly create high-quality documents using generative artificial intelligence simply by inputting the information they need.

[0105] A "user" is someone who operates the system and inputs information for document creation.

[0106] A "terminal" is a device, such as a computer or smartphone, that a user uses to input information and communicate with a server.

[0107] A "server" is a central computer system that receives data sent from a user's terminal and communicates with a generating artificial intelligence to generate documents.

[0108] "Input data" refers to data that users enter into their terminals as information necessary for document creation, and includes the purpose, target audience, key points, and desired format.

[0109] "Means of receiving" refers to the functions and methods that a server uses to acquire data transmitted from a terminal.

[0110] "Generative artificial intelligence" is an artificial intelligence technology that automatically generates documents based on information entered by the user.

[0111] A "generated document" is a high-quality document created by a generative artificial intelligence and received by a server.

[0112] "Formatting means" refers to processing means for optimizing the generated document through formatting adjustments and other means before returning it to the user's terminal.

[0113] "Means of confirmation and modification" refers to the method of operation that allows the user to view the generated document displayed on the terminal and change its content as needed.

[0114] This invention is a system for efficiently creating documents for users to disseminate information outside the company. This system mainly consists of a user terminal, a server, and a generating artificial intelligence. The specific embodiments of the system will be described in detail below.

[0115] First, the user uses the terminal to input the information necessary for document creation. A dedicated input form is provided on the terminal, where the user enters necessary information such as purpose, target audience, key points, and desired format. For example, in the case of a press release for a new product, the user would enter information such as "Purpose: Press release for a new product," "Target audience: Consumers, media," "Key points: New features, same-day delivery, first-time discount," and "Desired format: Formal."

[0116] Next, the server receives the input data sent from the terminal. Here, the server receives the data via an HTTP POST request and immediately converts the received data into an appropriate format (e.g., JSON). This converted data is then sent to the generative artificial intelligence API.

[0117] Generative artificial intelligence generates documents based on received data. In doing so, it utilizes natural language processing technology (for example, the latest generative AI model, GPT-4®) to automatically create documents best suited to the information entered by the user. For example, it might generate specific content such as, "We are launching our new product, 'ABC'. ABC features new functions and is eligible for same-day delivery and a first-time purchase discount."

[0118] Subsequently, the server receives the document generated by the AI. The received document is formatted on the server side, including formatting adjustments, and then sent back to the terminal as the final document. On the user's terminal, the formatted document is displayed in the browser.

[0119] Users can review the generated document displayed on their device and make corrections as needed. In this way, the final external document is completed, enabling users to create high-quality documents easily and quickly.

[0120] Example of a prompt

[0121] The following is an example of a prompt message used when generating a press release document for a new product.

[0122] Purpose: Press release for a new product

[0123] Target audience: Consumers, media

[0124] Key points: New features, same-day delivery, first-time customer discount

[0125] Desired format: Formal

[0126] In this way, the system automatically generates appropriate documents based on the information entered by the user, significantly improving both their quality and efficiency.

[0127] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0128] Program processing flow

[0129] Step 1:

[0130] The user enters the information necessary for document creation into the terminal.

[0131] Input: Document purpose, target audience, key points, desired format, etc.

[0132] Specific operation: The user opens a web browser on their device and accesses a dedicated input form. They enter information such as "Purpose: Press release for a new product," "Target audience: Consumers, media," "Key points: New features, same-day delivery, first-time discount," and "Desired format: Formal" into each field of the form.

[0133] Output: Input data

[0134] Step 2:

[0135] The server receives the input data.

[0136] Input: Data entered by the user on the device.

[0137] Specific operation: When the user clicks the "Submit" button in the input form, the device sends an HTTP POST request to the server. The server parses the received HTTP POST request and retrieves the input data.

[0138] Output: Input data stored in the server's memory.

[0139] Step 3:

[0140] The server converts the received input data into an appropriate format and sends it to the generating artificial intelligence.

[0141] Input: Input data stored in memory by the server.

[0142] Specific operation: The server converts the acquired input data into JSON format and sends the converted data as an HTTP POST request to the generated artificial intelligence API.

[0143] Output: JSON format data sent to the generating artificial intelligence.

[0144] Step 4:

[0145] Generative artificial intelligence generates documents based on input data.

[0146] Input: Input data in JSON format

[0147] Specific operation: The generative artificial intelligence initiates the document generation process based on the received data and uses natural language generation technology (e.g., GPT-4) to create a press release document. Specific documents such as "We are launching our new product 'ABC'. ABC features new functions and is eligible for same-day delivery and a first-time purchase discount." are generated.

[0148] Output: Generated document

[0149] Step 5:

[0150] The server receives documents generated by artificial intelligence.

[0151] Input: API response containing the generated document

[0152] Specific operation: The server receives the document generated as an API response from the generative artificial intelligence, parses (analyzes) the document content, and retrieves it.

[0153] Output: Generated documents stored in the server-side database or memory.

[0154] Step 6:

[0155] The server formats the generated document and sends it to the terminal.

[0156] Input: Generated document stored in memory by the server

[0157] Specific operation: The server formats the received generated document as needed, making adjustments to formatting such as font and paragraph alignment. The formatted document is then sent back to the user's terminal as an HTTP response.

[0158] Output: Formatted final document

[0159] Step 7:

[0160] The user reviews the generated document displayed on their device and makes corrections as needed.

[0161] Input: Formatted document displayed on the terminal

[0162] Specific operation: The user reviews the generated document displayed in the browser on their device and modifies the content and format as needed. Modifications are made using the editing tools available in the browser.

[0163] Output: Completed final document

[0164] In this way, through a series of steps, users can create high-quality documents quickly and efficiently.

[0165] (Application Example 1)

[0166] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0167] Traditional document creation systems required users to generate documents themselves and expend a significant amount of time and effort to distribute their content. This was particularly inefficient when dealing with multiple distribution channels (blogs, social media, etc.), as documents had to be manually formatted for each channel. Furthermore, creating high-quality documents was difficult for users without specialized knowledge, resulting in inconsistent content quality.

[0168] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0169] In this invention, the server includes means for receiving input data, means for transmitting the received input data to a generating artificial intelligence, means for receiving documents generated by the generating artificial intelligence, means for formatting the generated documents and returning them to the terminal, and means for distributing the generated documents. This enables users to efficiently generate high-quality documents and distribute them appropriately to multiple distribution channels.

[0170] "Input data" refers to information about the content and conditions of the document being generated by the user. This includes the purpose, target audience, key points, and desired format.

[0171] "Generative artificial intelligence" refers to artificial intelligence technology that automatically generates documents based on input data. This includes models that use natural language processing technology.

[0172] A "generated document" refers to a document created by an artificial intelligence based on data entered by the user.

[0173] A "terminal" refers to a device used by the user, such as a computer, smartphone, or tablet. The generated document is displayed and can be edited.

[0174] "Distribution channel" refers to the medium or platform through which the generated document is distributed. This includes blogs, social media, and email newsletters.

[0175] A "server" refers to a computer system that performs tasks such as receiving input data, sending data to generating artificial intelligence, receiving generated documents, formatting documents, and returning them.

[0176] This invention describes a system that enables users to efficiently generate high-quality documents and distribute them to multiple distribution channels, and explains its specific implementation method. The system configuration and operation are described in detail below.

[0177] System Configuration

[0178] This system primarily consists of a user terminal, a server, and a generative artificial intelligence (AI). The user uses the terminal to input the information necessary for document creation, the server transmits that information to the AI ​​to generate the document, and finally distributes the generated document to the distribution channel.

[0179] Hardware and software to be used

[0180] Device: A device used by a user, such as a computer, smartphone, or tablet.

[0181] Server: A backend system built using Node.js, Express, and AWS® Lambda.

[0182] Generative Artificial Intelligence: OpenAI (registered trademark) A generative AI model using GPT-4.

[0183] Delivery channels: Firebase Cloud Messaging, REST API, etc.

[0184] Program Processing Description

[0185] 1. User input

[0186] The user enters information such as the document's purpose, target audience, key points, and desired format into an input form on their device. This sends the user's specific requirements to the server.

[0187] 2. Receiving and transmitting data by the server

[0188] Information sent from the device is received by a server built using Node.js and Express. The received data is converted to JSON format and sent to the OpenAI GPT-4 API via AWS Lambda.

[0189] 3. Document generation using artificial intelligence

[0190] Generative artificial intelligence (OpenAI GPT-4) generates documents based on the data it receives. Specifically, it uses natural language processing techniques to generate appropriate documents based on prompts that correspond to the input information.

[0191] 4. Receiving and formatting the generated document

[0192] The server receives the generated document from OpenAI GPT-4 and formats it as needed. The formatted document is then sent to the terminal for the user to review.

[0193] 5. User review and revision of documents

[0194] The user reviews the generated document displayed on the terminal and makes corrections as needed. At this stage, the user can check the quality of the final document and approve it.

[0195] 6. Distribution of generated documents

[0196] Once the documents have been corrected and verified, they will be appropriately distributed to distribution channels such as blogs and social media. Distribution will be carried out using Firebase Cloud Messaging or the REST API.

[0197] Specific example

[0198] For example, when creating an article introducing a new product, the user will enter the following information:

[0199] Purpose: To introduce new products

[0200] Target audience: Consumers, media

[0201] Key points: New features, same-day delivery, first-time customer discount

[0202] Format: Formal

[0203] A prompt message is generated based on this input information. An example of a prompt message is as follows:

[0204] "Purpose of the article: To introduce a new product"

[0205] "Target audience: Consumers, media"

[0206] "Key points: New features, same-day delivery, first-time customer discount"

[0207] Format: Formal

[0208] Based on this prompt, OpenAI GPT-4 creates a generated document such as, "We are launching our new product, 'XYZ'. XYZ features new functions and offers same-day delivery and a first-time purchase discount." The generated document is formatted on the server and sent back to the user's terminal. The document is then reviewed and ultimately distributed to blogs and social media.

[0209] Through the above process, users can efficiently generate high-quality documents and instantly distribute them to various distribution channels.

[0210] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0211] Step 1:

[0212] The user enters information for document generation (purpose, target audience, key points, desired format) into the terminal. The entered data is sent to the server as an HTTP POST request. Examples of entered data include new product introductions, consumer / media information, new features / same-day delivery / first-time discounts, and formality.

[0213] Step 2:

[0214] The server receives data sent by the user. The received data is converted to JSON format and then parsed. This parsing verifies that each item (purpose, target audience, key points, format) is correctly specified.

[0215] Step 3:

[0216] The server generates prompt text using the analyzed data. This prompt text is used as input data sent to the generating artificial intelligence. For example, it might take the form of: "Article Purpose: Introducing a new product," "Target Audience: Consumers, Media," "Key Points: New features, Same-day delivery, First-time discount," and "Format: Formal."

[0217] Step 4:

[0218] The server converts the generated prompt messages into JSON format and sends them to the API of the generated AI model. For example, Node.js or Express can be used to call the OpenAI GPT-4 API.

[0219] Step 5:

[0220] The generative artificial intelligence generates documents based on the received prompt text. The generated documents use natural language processing techniques to correspond to the input data. For example, a document such as "We are launching our new product 'XYZ'. XYZ features new functions and is eligible for same-day delivery and a first-time purchase discount" may be generated.

[0221] Step 6:

[0222] The server receives documents generated by the AI ​​model. The received documents are formatted appropriately based on the user's specified formatting. This formatting includes adjusting paragraphs and applying specific font styles.

[0223] Step 7:

[0224] The formatted document is sent back to the user's device for final review and revisions. The user reviews the document on their device and makes any necessary additional corrections.

[0225] Step 8:

[0226] The final, reviewed and corrected documents are distributed via the server to distribution channels such as blogs and social media. Firebase Cloud Messaging and REST APIs are used for this distribution.

[0227] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0228] This invention is a system for efficiently creating documents that users send to external parties, and in particular, by combining it with an emotion engine that recognizes the user's emotions, it enables the generation of documents with a more appropriate tone and style. The program processing of this system is described in detail below.

[0229] System Configuration

[0230] This system basically consists of a user terminal, a server, generative artificial intelligence (generative AI), and an emotion engine. The user uses the terminal to input the information necessary for document creation, the emotion engine recognizes the user's emotions and sends that emotion information to the server, and the generative AI generates the document based on that information.

[0231] Specific processing of the program

[0232] 1. The user enters information into the terminal.

[0233] The user enters information such as the document's purpose, target audience, key points, and desired format into an input form on their device.

[0234] 2. The emotion engine analyzes user input.

[0235] The emotion engine analyzes user input data or voice input to recognize the user's emotions. For example, it analyzes keyboard typing speed and voice tone.

[0236] 3. The server receives input data and sentiment data.

[0237] The server receives input data sent from the terminal and emotional data analyzed by the emotion engine.

[0238] 4. The server generates data and sends it to the artificial intelligence.

[0239] The server converts the input data and sentiment data into an appropriate format (e.g., JSON format) and sends it to the generative artificial intelligence API.

[0240] 5. Generative artificial intelligence generates documents.

[0241] The generative artificial intelligence generates documents based on input data and sentiment data. It adjusts the tone and style of the document based on the sentiment data.

[0242] 6. The server receives the generated document.

[0243] The server receives a document generated by the AI. This document is customized based on data from the emotion engine.

[0244] 7. The server formats the generated document and sends it to the terminal.

[0245] The server formats the generated document, reshapes it as needed, and sends it to the user's terminal.

[0246] 8. Users review and edit documents.

[0247] The user reviews the document displayed on their device and makes revisions as needed. This completes the final external document.

[0248] Specific example

[0249] Creating a press release for a new product

[0250] 1. The user enters the information into the terminal.

[0251] Enter the purpose (press release for a new product), target audience (consumers, media), key points (new features, same-day delivery, first-time customer discount), and format (formal).

[0252] 2. The emotion engine recognizes the user's emotions.

[0253] The emotion engine analyzes the user's input time and facial expression data during input, recognizing when the user is excited.

[0254] 3. The server receives input data and sentiment data.

[0255] It receives and analyzes data and sentiment data transmitted from the device.

[0256] 4. The server sends data to the generated artificial intelligence.

[0257] The data is converted to JSON format and sent to the artificial intelligence as an API request.

[0258] 5. Generative artificial intelligence generates documents.

[0259] The AI ​​generator produces press release documents with a slightly more passionate tone based on the user's excitement. For example, it might generate content such as, "We are launching our new product, 'ABC'. ABC features exciting new functions and comes with same-day delivery and a first-time customer discount."

[0260] 6. The server receives the generated document.

[0261] The generated document is received as an API response.

[0262] 7. The server formats the document and sends it to the terminal.

[0263] Format the document and send it to the user's device.

[0264] 8. Users review and edit documents.

[0265] Review the document displayed on the terminal, make any necessary corrections, and then send the completed document outside the company.

[0266] In this way, users can quickly and easily create high-quality external documents that reflect their own emotions.

[0267] The following describes the processing flow.

[0268] Step 1:

[0269] The user displays an input form. The user opens a dedicated application or web page on their device and displays an input form for submitting information.

[0270] Step 2:

[0271] The user enters the information. The user enters necessary information such as the document's purpose, target audience, key points, and desired format into the input form.

[0272] Step 3:

[0273] After the user completes their input, the emotion engine analyzes the user's emotions. The emotion engine analyzes the user's facial expressions and voice tone in real time during input to obtain the user's emotional data.

[0274] Step 4:

[0275] The terminal sends the input data and the emotion data to the server. The terminal sends the input information and the emotion data generated by the emotion engine to the server in a format such as an HTTP POST request.

[0276] Step 5:

[0277] The server receives the request. The server receives the data sent from the terminal and analyzes the input data and the emotion data.

[0278] Step 6:

[0279] The server converts the data into a format that can be passed to the generative AI. The server analyzes the received input data and emotion data and converts them into a format suitable for the generative artificial intelligence (e.g., JSON format).

[0280] Step 7:

[0281] The server sends an API request to the generative AI. The server sends a request containing the formatted input data and emotion data to the API of the generative AI.

[0282] Step 8:

[0283] The generative AI generates a document. The generative AI generates a document based on the provided input data and emotion data. When the user is excited, the tone of the document is adjusted to be enthusiastic, etc.

[0284] Step 9:

[0285] The generative AI returns the generated document to the server. The generative AI returns the completed document to the server as an API response. [[ID=]41]

[0286] Step 10:

[0287] ]>The server receives the generated document. The server receives the document returned from the generative AI and analyzes the content of the document.

[0288] Step 11:

[0289] The server formats the generated document. The server formats the received document based on the user's requirements and reshapes it as needed.

[0290] Step 12:

[0291] The server formats the document and sends it to the user's terminal. This is done, for example, using an HTTP response.

[0292] Step 13:

[0293] The terminal displays the document. The terminal visually displays the document received from the server to the user.

[0294] Step 14:

[0295] The user reviews the document. The user reviews the displayed document and makes corrections as needed.

[0296] Step 15:

[0297] The user completes the final document. The user finalizes the revised document as the final external document.

[0298] (Example 2)

[0299] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0300] Conventional document creation systems generate documents without considering the user's emotions, resulting in a problem where the tone and style of the document do not reflect the user's intentions or state of mind. This creates a challenge in expressing emotions appropriately, especially in documents where emotions are a crucial element.

[0301] The specific processing by the specific processing unit 290 of the data processing apparatus 12 in Example 2 is realized by the following respective means.

[0302] In this invention, the server includes means for receiving input data, means for analyzing the received input data to generate emotion data, means for transmitting the received input data and emotion data to a generative artificial intelligence, means for receiving a document generated by the generative artificial intelligence, and means for formatting the received generated document and returning it to the terminal. Thereby, it becomes possible to generate a document reflecting the emotion of the user.

[0303] "Input data" refers to information necessary for document creation input by the user through the terminal. It includes the purpose of the document, the target reader, key points, and the desired format.

[0304] "Emotion data" refers to information indicating the emotional state of the user obtained by the emotion engine analyzing the user's input data and behavior.

[0305] "Generative artificial intelligence" refers to an artificial intelligence model that generates a document based on input data and emotion data.

[0306] "Generated document" refers to a document generated by the generative artificial intelligence and may reflect the emotion of the user.

[0307] "Formatting" refers to a process of arranging the format and layout of the generated document in an appropriate form.

[0308] "Terminal" refers to the hardware used by the user for inputting input data and checking / modifying the generated document.

[0309] This invention relates to a system for efficiently creating documents that users will use to disseminate information outside the company. In particular, by combining it with an emotion engine that recognizes the user's emotions, it becomes possible to generate documents with a more appropriate tone and style. The system configuration includes a user terminal, a server, generative artificial intelligence (generative AI), and an emotion engine.

[0310] System Configuration

[0311] The system consists of the following hardware and software:

[0312] Terminal: Hardware used by users to input data and to review and modify generated documents. Generally, personal computers or smartphones are used.

[0313] Server: Hardware for managing the reception and transmission of data, as well as the generation of sentiment data and document generation.

[0314] Emotion engine: Software that analyzes user input data and behavior to generate emotion data.

[0315] Generative AI: An artificial intelligence model that generates documents based on input data and sentiment data.

[0316] Program processing

[0317] The server stores the input data sent by the user in a database and simultaneously sends it to the emotion engine to generate the user's emotion data. The emotion engine analyzes keyboard typing speed, input time, voice tone, facial expression data, etc., to recognize emotions. This emotion data is then sent back to the server.

[0318] The server sends the received input data and sentiment data to a generative AI model. The generative AI model generates a document with adjusted tone and style based on this data. This generated document is sent to the server, which formats the document and sends it back to the terminal. The user reviews the document displayed on the terminal and makes corrections as needed.

[0319] Specific operation of the system

[0320] Example: Creating a press release for a new product

[0321] 1. The user enters information into the terminal.

[0322] For example, users input information such as "new product press release," "consumers, media," "new features, same-day delivery, first-time discount," and "formal" into their device.

[0323] 2. The emotion engine recognizes the user's emotions.

[0324] The system analyzes the user's input time and facial expression data during input to recognize when the user is excited.

[0325] 3. The server receives input data and sentiment data.

[0326] It receives and analyzes data and sentiment data transmitted from the device.

[0327] 4. The server sends data to the generating AI.

[0328] Send input data and emotion data to the generating artificial intelligence.

[0329] 5. Generative AI generates documents.

[0330] The AI ​​generator produces press release documents with a slightly more passionate tone based on the user's excitement. For example, it might generate content such as, "We are launching our new product, 'ABC'. ABC features exciting new functions and comes with same-day delivery and a first-time customer discount."

[0331] 6. The server receives the generated document.

[0332] The server receives the document generated by the AI.

[0333] 7. The server formats the generated document and sends it to the terminal.

[0334] The server formats the generated document and sends it to the terminal.

[0335] 8. Users review and edit documents.

[0336] The user reviews the document displayed on the device and makes corrections as needed.

[0337] This allows users to quickly and easily create high-quality external documents that reflect their own emotions.

[0338] Example of a prompt

[0339] For example, by entering prompts such as "Create a press release for a new product," "Target: Consumers, Media," "Key points: New features, Same-day delivery, First-time discount," and "Format: Formal," the AI ​​will generate an appropriate document.

[0340] This invention makes it easier to create documents that reflect the user's emotions, enabling the effective dissemination of content, especially in important corporate communications.

[0341] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0342] Step 1:

[0343] The user enters information into the terminal.

[0344] Specific operation: The user accesses an input form on the terminal and enters the document's purpose, target audience, key points, and desired format.

[0345] Input: Data entered by the user into the form on their device.

[0346] Output: Input data sent to the server (document purpose, target audience, key points, desired format).

[0347] Step 2:

[0348] The server analyzes the received input data and sends it to the emotion engine.

[0349] Specific operation: The server receives input data sent from the terminal and sends that data to the emotion engine.

[0350] Input: Input data sent from the terminal.

[0351] Output: Input data sent to the emotion engine.

[0352] Step 3:

[0353] The emotion engine analyzes user input and generates emotion data.

[0354] Specific operation: The emotion engine analyzes keyboard typing speed, input time, voice tone, facial expression data, etc., to recognize the user's emotions and generate data.

[0355] Input: Input data sent from the server.

[0356] Output: Sentiment data indicating the user's emotions.

[0357] Step 4:

[0358] The server receives emotion data from the emotion engine.

[0359] Specific operation: The server receives emotion data sent from the emotion engine.

[0360] Input: Emotional data sent from the emotion engine.

[0361] Output: Emotional data stored on the server.

[0362] Step 5:

[0363] The server sends input data and emotional data to the generating artificial intelligence.

[0364] Specific operation: The server converts the input data and sentiment data into the appropriate format and sends it to the generative AI. It constructs the data in JSON format and sends a request to the generative AI's API.

[0365] Input: Input data and sentiment data stored on the server.

[0366] Output: JSON formatted data sent to the generating AI.

[0367] Step 6:

[0368] The generative artificial intelligence generates the document.

[0369] Specific operation: The generative artificial intelligence generates documents based on the received input data and sentiment data, and adjusts the tone and style.

[0370] Input: JSON formatted data sent from the server.

[0371] Output: The generated document.

[0372] Step 7:

[0373] The server receives the generated document.

[0374] Specific operation: The server receives the generated document returned by the generation AI. The document is returned as an API response.

[0375] Input: The generated document returned by the generation AI.

[0376] Output: The generated document saved on the server.

[0377] Step 8:

[0378] The server formats the generated document and sends it to the terminal.

[0379] Specific operation: The server formats the received generated document, reshapes it as needed, and sends it to the user's terminal.

[0380] Input: Generated document stored on the server.

[0381] Output: The formatted document sent to the terminal.

[0382] Step 9:

[0383] Users review and edit documents.

[0384] Specific operation: The user reviews the generated document displayed on the terminal, makes corrections as needed, and completes the document.

[0385] Input: A formatted document sent to the terminal.

[0386] Output: Revised and completed document.

[0387] (Application Example 2)

[0388] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0389] In today's business environment, effective communication with customers is crucial. However, in real-time customer service at retail stores, it is difficult to accurately interpret customer emotions and provide optimal suggestions and responses based on them. Traditional methods rely on the skills and experience of the staff member handling the interaction, making it difficult to provide consistently high-quality service.

[0390] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving input data, means for analyzing the received input data with an emotion engine and transmitting the emotion data to a generating artificial intelligence, means for receiving documents generated by the generating artificial intelligence, and means for formatting the received generated documents and returning them to the terminal. This enables the real-time generation of documents based on customer emotions, allowing for appropriate and consistent customer service.

[0391] "Input data" refers to the information and data that users provide to the system. This includes text information, audio data, and even user sentiment data.

[0392] An "emotion engine" is software or an algorithm that analyzes user-provided input data to identify the user's emotional state. This allows for the extraction and analysis of the user's emotions from the input data.

[0393] "Generative artificial intelligence" refers to an algorithm or model that generates new documents based on input data and sentiment data. This includes generative AI models that automatically generate documents based on appropriate prompt sentences.

[0394] A "generated document" is a text document created by generative artificial intelligence, in which the required tone and style are adjusted based on sentiment data.

[0395] A "server" is a core computer system that processes data received from the user's terminal and emotional data analyzed by the emotion engine, and transmits it to the generating artificial intelligence. It works in conjunction with the user's terminal to perform a series of processes such as sending and receiving data and generating documents.

[0396] A "terminal" refers to a device that a user directly operates, and includes smartphones, tablets, and personal computers. Terminals are used for transmitting input data and for checking and modifying generated documents.

[0397] A "system containing" refers to an integrated set of hardware and software that encompasses specific functions or components. This clarifies the specific elements that the system in question possesses.

[0398] A "new product press release document" is an official document used to announce information about a new product and is released to consumers and the media.

[0399] "Customer support documents" are documents created to facilitate smooth communication with customers, and include product descriptions, service information, and troubleshooting responses.

[0400] This invention relates to a system in which a user inputs information necessary for document creation using a user's terminal, an emotion engine recognizes the user's emotions, and transmits that emotion information to a server, thereby generating an appropriate document using generative artificial intelligence. This system includes means for receiving input data, means for analyzing the received input data with the emotion engine and transmitting the emotion data to the generative artificial intelligence, means for receiving the document generated by the generative artificial intelligence, and means for formatting the received generated document and returning it to the terminal.

[0401] Program Processing Description

[0402] 1. User's terminal

[0403] Users use their devices (smartphones, tablets, personal computers, etc.) to input the information necessary for document creation. This includes the purpose, target audience, key points, and desired format.

[0404] It collects data by taking voice and text input.

[0405] 2. Emotional Engine

[0406] The emotion engine analyzes the input data sent from the device. The emotion engine uses speech analysis libraries (e.g., Google® Cloud Speech-to-Text and IBM Watson®) to identify emotions from the user's input data.

[0407] The emotion engine extracts the user's emotional data and sends that data to the server.

[0408] 3. Server

[0409] The server receives user input data and sentiment data and sends it to the generating artificial intelligence. The data is generally converted to JSON format.

[0410] A request is sent to the generation AI API, and the generation process is performed.

[0411] 4. Generative Artificial Intelligence

[0412] Generative artificial intelligence (e.g., OpenAI GPT-3®) generates documents based on received input data and sentiment data. In doing so, it adjusts the tone and style of the document based on the sentiment data.

[0413] 5. Server

[0414] It receives documents generated by artificial intelligence and formats them as needed, such as adjusting the format or changing the layout.

[0415] The formatted document is returned to the user's terminal.

[0416] 6. User's terminal

[0417] The generated document is displayed on the user's device, allowing the user to review it and make corrections as needed.

[0418] Specific example

[0419] For example, consider a scenario where a user is creating a press release for a new product. The user enters the following information on their device: "Purpose: Press release for a new product," "Target audience: Consumers, media," "Key points: New features, same-day delivery, first-time discount," and "Desired format: Formal." The entered information is analyzed by an emotion engine, which recognizes that the user is excited. This input data, including emotion data, is sent via a server to a generating artificial intelligence. The generating AI then generates a press release document based on this data, reflecting the excited tone. For example, it might generate a document stating, "We are launching our new product, 'ABC.' ABC features exciting new functions and comes with same-day delivery and a first-time discount."

[0420] Example of a prompt

[0421] "The customer is interested in the product and has asked questions. Based on their interest, please generate a proposal that includes the following information: new product features and benefits, and in-store perks."

[0422] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0423] Step 1:

[0424] The user's terminal provides an interface for inputting the information necessary for document creation. The user inputs information such as the document's purpose, target audience, key points, and desired formatting. The input data is used to generate text and sentiment data, which are then analyzed by the sentiment engine.

[0425] Step 2:

[0426] The device sends the input data to the emotion engine. The emotion engine analyzes the input data, as well as data such as the user's voice and facial expressions at the time of input, to identify the user's emotions. For example, it analyzes voice tone and input speed. As a result of the analysis, it obtains the user's emotion data.

[0427] Step 3:

[0428] The terminal sends sentiment data, analyzed by the sentiment engine, to the server. The input data at this time includes information necessary for document creation (purpose, target audience, key points, desired format, etc.) and sentiment data. The server converts this data into a specific format (e.g., JSON format) and processes it.

[0429] Step 4:

[0430] The server sends input data and sentiment data to the generating artificial intelligence. The generating AI then begins processing this data to generate a document. The generated document is then adjusted in tone and style based on the user's sentiment data.

[0431] Step 5:

[0432] Generative artificial intelligence generates new documents using input data and sentiment data. Based on generation prompts, documents are generated that match the user's intent and sentiment. For example, it might use the prompt: "The customer is interested in the product and has questions. Based on that interest, generate a suggestion document that includes the following information: new product features and benefits, and in-store offers."

[0433] Step 6:

[0434] The server receives documents generated by the artificial intelligence. The received documents undergo formatting processes such as adjusting the format and changing the layout. This makes the final document easy to read and organized.

[0435] Step 7:

[0436] The formatted generated document is sent back from the server to the user's terminal. The user's terminal displays the generated document for review. The user makes revisions to the document as needed to complete the final external document.

[0437] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0438] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0439] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0440] [Second Embodiment]

[0441] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0442] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0443] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0444] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0445] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0446] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0447] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0448] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0449] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0450] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0451] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0452] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0453] This invention is a system that allows users to efficiently create documents for disseminating information outside the company, and the processing of the program is described in detail below.

[0454] System Configuration

[0455] This system basically consists of a user terminal, a server, and a generating artificial intelligence (AI). The user uses the terminal to input the information necessary for document creation, and the server transmits that information to the generating AI to generate the document.

[0456] Program processing

[0457] 1. The user enters information into the terminal.

[0458] The user enters necessary information such as the document's purpose, target audience, key points, and desired format into an input form on their device.

[0459] 2. The server receives the input data.

[0460] The server receives input data sent from the terminal. For example, an HTTP POST request might be used for this purpose.

[0461] 3. The server sends data to the generated artificial intelligence.

[0462] The server converts the received input data into an appropriate format (e.g., JSON) and sends it to the generation AI API.

[0463] 4. Generative artificial intelligence generates documents.

[0464] Generative artificial intelligence generates documents based on input data. For example, it can use natural language processing techniques to generate press release documents.

[0465] 5. The server receives the generated document.

[0466] The server receives a document generated by artificial intelligence. This document is customized based on the information entered by the user.

[0467] 6. The server formats the document and sends it to the terminal.

[0468] The server formats the generated document as needed and sends it back to the user's terminal. This is where the document formatting is adjusted.

[0469] 7. Users review and edit documents.

[0470] The user reviews the document displayed on their device and makes revisions as needed. This completes the final external document.

[0471] Specific example

[0472] Creating a press release for a new product

[0473] 1. The user enters the information into the terminal.

[0474] Enter the purpose (press release for a new product), target audience (consumers, media), key points (new features, same-day delivery, first-time customer discount), and format (formal).

[0475] 2. The server receives the input data.

[0476] It receives and analyzes data sent from the terminal.

[0477] 3. The server sends data to the generated artificial intelligence.

[0478] The data is converted to JSON format and sent to the artificial intelligence as an API request.

[0479] 4. Generative artificial intelligence generates documents.

[0480] The AI ​​generates press release documents. For example, it might generate content such as, "We are launching our new product, 'ABC'. ABC features new functions and is eligible for same-day delivery and a first-time purchase discount."

[0481] 5. The server receives the generated document.

[0482] The generated document is received as an API response.

[0483] 6. The server formats the document and sends it to the terminal.

[0484] Format the generated document and send it to the user's terminal.

[0485] 7. Users review and edit documents.

[0486] Review the document displayed on the terminal, make any necessary corrections, and then send the completed document outside the company.

[0487] In this way, a system is created that allows users to create high-quality documents quickly and easily.

[0488] The following describes the processing flow.

[0489] Step 1:

[0490] The user displays an input form. The user opens a dedicated application or web page on their device and displays an input form for submitting information.

[0491] Step 2:

[0492] The user enters the information. The user enters necessary information such as the document's purpose, target audience, key points, and desired format into the input form.

[0493] Step 3:

[0494] The user clicks the submit button. After completing the input, the user clicks the "Submit" button to send the data from their device to the server.

[0495] Step 4:

[0496] The terminal sends the input data to the server. The terminal sends the input data to the server in the form of an HTTP POST request or similar.

[0497] Step 5:

[0498] The server receives the request. The server receives the request sent from the terminal and parses the input data.

[0499] Step 6:

[0500] The server converts the data into a format that can be passed to the generating AI. The server analyzes the received input data and converts it into a format suitable for generating artificial intelligence (e.g., JSON format).

[0501] Step 7:

[0502] The server sends an API request to the generating AI. The server sends a request containing formatted data to the generating AI's API.

[0503] Step 8:

[0504] The generative AI generates documents. The generative AI generates documents based on the provided input data. For example, it can automatically generate detailed information about new products or press releases targeted at specific audiences.

[0505] Step 9:

[0506] The generation AI sends the generated document back to the server. The generation AI sends the completed document back to the server as an API response.

[0507] Step 10:

[0508] The server receives the generated document. The server receives the document returned from the generating AI and analyzes its contents.

[0509] Step 11:

[0510] The server formats the generated document. The server formats the received document according to the user's requirements and reshapes it as needed.

[0511] Step 12:

[0512] The server formats the document and sends it to the user's terminal. This is done, for example, using an HTTP response.

[0513] Step 13:

[0514] The terminal displays the document. The terminal visually displays the document received from the server to the user.

[0515] Step 14:

[0516] The user reviews the document. The user reviews the displayed document and makes corrections as needed.

[0517] Step 15:

[0518] The user completes the final document. The user finalizes the revised document as the final external document.

[0519] (Example 1)

[0520] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0521] Traditional document creation systems had the problem that users had to spend a great deal of time and effort creating documents from scratch. Furthermore, creating documents, especially for external use, required specialized knowledge and skills, making it difficult to quickly produce high-quality documents.

[0522] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0523] In this invention, the server includes means for the user to input information necessary for document creation into a terminal, means for receiving input data transmitted from the terminal, and means for converting the received input data into an appropriate format and transmitting it to the generative artificial intelligence. This makes it possible for users to quickly create high-quality documents using generative artificial intelligence simply by inputting the information they need.

[0524] A "user" is someone who operates the system and inputs information for document creation.

[0525] A "terminal" is a device, such as a computer or smartphone, that a user uses to input information and communicate with a server.

[0526] A "server" is a central computer system that receives data sent from a user's terminal and communicates with a generating artificial intelligence to generate documents.

[0527] "Input data" refers to data that users enter into their terminals as information necessary for document creation, and includes the purpose, target audience, key points, and desired format.

[0528] "Means of receiving" refers to the functions and methods that a server uses to acquire data transmitted from a terminal.

[0529] "Generative artificial intelligence" is an artificial intelligence technology that automatically generates documents based on information entered by the user.

[0530] A "generated document" is a high-quality document created by a generative artificial intelligence and received by a server.

[0531] "Formatting means" refers to processing means for optimizing the generated document through formatting adjustments and other means before returning it to the user's terminal.

[0532] "Means of confirmation and modification" refers to the method of operation that allows the user to view the generated document displayed on the terminal and change its content as needed.

[0533] This invention is a system for efficiently creating documents for users to disseminate information outside the company. This system mainly consists of a user terminal, a server, and a generating artificial intelligence. The specific embodiments of the system will be described in detail below.

[0534] First, the user uses the terminal to input the information necessary for document creation. A dedicated input form is provided on the terminal, where the user enters necessary information such as purpose, target audience, key points, and desired format. For example, in the case of a press release for a new product, the user would enter information such as "Purpose: Press release for a new product," "Target audience: Consumers, media," "Key points: New features, same-day delivery, first-time discount," and "Desired format: Formal."

[0535] Next, the server receives the input data sent from the terminal. Here, the server receives the data via an HTTP POST request and immediately converts the received data into an appropriate format (e.g., JSON). This converted data is then sent to the generative artificial intelligence API.

[0536] Generative artificial intelligence generates documents based on received data. It utilizes natural language processing techniques (such as the latest generative AI model, GPT-4) to automatically create documents best suited to the user's input. For example, it might generate specific content like, "We are launching our new product, 'ABC'. ABC features new functions and offers same-day delivery and a first-time purchase discount."

[0537] Subsequently, the server receives the document generated by the AI. The received document is formatted on the server side, including formatting adjustments, and then sent back to the terminal as the final document. On the user's terminal, the formatted document is displayed in the browser.

[0538] Users can review the generated document displayed on their device and make corrections as needed. In this way, the final external document is completed, enabling users to create high-quality documents easily and quickly.

[0539] Example of a prompt

[0540] The following is an example of a prompt message used when generating a press release document for a new product.

[0541] Purpose: Press release for a new product

[0542] Target audience: Consumers, media

[0543] Key points: New features, same-day delivery, first-time customer discount

[0544] Desired format: Formal

[0545] In this way, the system automatically generates appropriate documents based on the information entered by the user, significantly improving both their quality and efficiency.

[0546] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0547] Program processing flow

[0548] Step 1:

[0549] The user enters the information necessary for document creation into the terminal.

[0550] Input: Document purpose, target audience, key points, desired format, etc.

[0551] Specific operation: The user opens a web browser on their device and accesses a dedicated input form. They enter information such as "Purpose: Press release for a new product," "Target audience: Consumers, media," "Key points: New features, same-day delivery, first-time discount," and "Desired format: Formal" into each field of the form.

[0552] Output: Input data

[0553] Step 2:

[0554] The server receives the input data.

[0555] Input: Data entered by the user on the device.

[0556] Specific operation: When the user clicks the "Submit" button in the input form, the device sends an HTTP POST request to the server. The server parses the received HTTP POST request and retrieves the input data.

[0557] Output: Input data stored in the server's memory.

[0558] Step 3:

[0559] The server converts the received input data into an appropriate format and sends it to the generating artificial intelligence.

[0560] Input: Input data stored in memory by the server.

[0561] Specific operation: The server converts the acquired input data into JSON format and sends the converted data as an HTTP POST request to the generated artificial intelligence API.

[0562] Output: JSON format data sent to the generating artificial intelligence.

[0563] Step 4:

[0564] Generative artificial intelligence generates documents based on input data.

[0565] Input: Input data in JSON format

[0566] Specific operation: The generative artificial intelligence initiates the document generation process based on the received data and uses natural language generation technology (e.g., GPT-4) to create a press release document. Specific documents such as "We are launching our new product 'ABC'. ABC features new functions and is eligible for same-day delivery and a first-time purchase discount." are generated.

[0567] Output: Generated document

[0568] Step 5:

[0569] The server receives documents generated by artificial intelligence.

[0570] Input: API response containing the generated document

[0571] Specific operation: The server receives the document generated as an API response from the generative artificial intelligence, parses (analyzes) the document content, and retrieves it.

[0572] Output: Generated documents stored in the server-side database or memory.

[0573] Step 6:

[0574] The server formats the generated document and sends it to the terminal.

[0575] Input: Generated document stored in memory by the server

[0576] Specific operation: The server formats the received generated document as needed, making adjustments to formatting such as font and paragraph alignment. The formatted document is then sent back to the user's terminal as an HTTP response.

[0577] Output: Formatted final document

[0578] Step 7:

[0579] The user reviews the generated document displayed on their device and makes corrections as needed.

[0580] Input: Formatted document displayed on the terminal

[0581] Specific operation: The user reviews the generated document displayed in the browser on their device and modifies the content and format as needed. Modifications are made using the editing tools available in the browser.

[0582] Output: Completed final document

[0583] In this way, through a series of steps, users can create high-quality documents quickly and efficiently.

[0584] (Application Example 1)

[0585] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0586] Traditional document creation systems required users to generate documents themselves and expend a significant amount of time and effort to distribute their content. This was particularly inefficient when dealing with multiple distribution channels (blogs, social media, etc.), as documents had to be manually formatted for each channel. Furthermore, creating high-quality documents was difficult for users without specialized knowledge, resulting in inconsistent content quality.

[0587] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0588] In this invention, the server includes means for receiving input data, means for transmitting the received input data to a generating artificial intelligence, means for receiving documents generated by the generating artificial intelligence, means for formatting the generated documents and returning them to the terminal, and means for distributing the generated documents. This enables users to efficiently generate high-quality documents and distribute them appropriately to multiple distribution channels.

[0589] "Input data" refers to information about the content and conditions of the document being generated by the user. This includes the purpose, target audience, key points, and desired format.

[0590] "Generative artificial intelligence" refers to artificial intelligence technology that automatically generates documents based on input data. This includes models that use natural language processing technology.

[0591] A "generated document" refers to a document created by an artificial intelligence based on data entered by the user.

[0592] A "terminal" refers to a device used by the user, such as a computer, smartphone, or tablet. The generated document is displayed and can be edited.

[0593] "Distribution channel" refers to the medium or platform through which the generated document is distributed. This includes blogs, social media, and email newsletters.

[0594] A "server" refers to a computer system that performs tasks such as receiving input data, sending data to generating artificial intelligence, receiving generated documents, formatting documents, and returning them.

[0595] This invention describes a system that enables users to efficiently generate high-quality documents and distribute them to multiple distribution channels, and explains its specific implementation method. The system configuration and operation are described in detail below.

[0596] System Configuration

[0597] This system primarily consists of a user terminal, a server, and a generative artificial intelligence (AI). The user uses the terminal to input the information necessary for document creation, the server transmits that information to the AI ​​to generate the document, and finally distributes the generated document to the distribution channel.

[0598] Hardware and software to be used

[0599] Device: A device used by a user, such as a computer, smartphone, or tablet.

[0600] Server: A backend system built using Node.js, Express, and AWS Lambda.

[0601] Generative Artificial Intelligence: A generative AI model using OpenAI GPT-4.

[0602] Delivery channels: Firebase Cloud Messaging, REST API, etc.

[0603] Program Processing Description

[0604] 1. User input

[0605] The user enters information such as the document's purpose, target audience, key points, and desired format into an input form on their device. This sends the user's specific requirements to the server.

[0606] 2. Receiving and transmitting data by the server

[0607] Information sent from the device is received by a server built using Node.js and Express. The received data is converted to JSON format and sent to the OpenAI GPT-4 API via AWS Lambda.

[0608] 3. Document generation using artificial intelligence

[0609] Generative artificial intelligence (OpenAI GPT-4) generates documents based on the data it receives. Specifically, it uses natural language processing techniques to generate appropriate documents based on prompts that correspond to the input information.

[0610] 4. Receiving and formatting the generated document

[0611] The server receives the generated document from OpenAI GPT-4 and formats it as needed. The formatted document is then sent to the terminal for the user to review.

[0612] 5. User review and revision of documents

[0613] The user reviews the generated document displayed on the terminal and makes corrections as needed. At this stage, the user can check the quality of the final document and approve it.

[0614] 6. Distribution of generated documents

[0615] Once the documents have been corrected and verified, they will be appropriately distributed to distribution channels such as blogs and social media. Distribution will be carried out using Firebase Cloud Messaging or the REST API.

[0616] Specific example

[0617] For example, when creating an article introducing a new product, the user will enter the following information:

[0618] Purpose: To introduce new products

[0619] Target audience: Consumers, media

[0620] Key points: New features, same-day delivery, first-time customer discount

[0621] Format: Formal

[0622] A prompt message is generated based on this input information. An example of a prompt message is as follows:

[0623] "Purpose of the article: To introduce a new product"

[0624] "Target audience: Consumers, media"

[0625] "Key points: New features, same-day delivery, first-time customer discount"

[0626] Format: Formal

[0627] Based on this prompt, OpenAI GPT-4 creates a generated document such as, "We are launching our new product, 'XYZ'. XYZ features new functions and offers same-day delivery and a first-time purchase discount." The generated document is formatted on the server and sent back to the user's terminal. The document is then reviewed and ultimately distributed to blogs and social media.

[0628] Through the above process, users can efficiently generate high-quality documents and instantly distribute them to various distribution channels.

[0629] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0630] Step 1:

[0631] The user enters information for document generation (purpose, target audience, key points, desired format) into the terminal. The entered data is sent to the server as an HTTP POST request. Examples of entered data include new product introductions, consumer / media information, new features / same-day delivery / first-time discounts, and formality.

[0632] Step 2:

[0633] The server receives data sent by the user. The received data is converted to JSON format and then parsed. This parsing verifies that each item (purpose, target audience, key points, format) is correctly specified.

[0634] Step 3:

[0635] The server generates prompt text using the analyzed data. This prompt text is used as input data sent to the generating artificial intelligence. For example, it might take the form of: "Article Purpose: Introducing a new product," "Target Audience: Consumers, Media," "Key Points: New features, Same-day delivery, First-time discount," and "Format: Formal."

[0636] Step 4:

[0637] The server converts the generated prompt messages into JSON format and sends them to the API of the generated AI model. For example, Node.js or Express can be used to call the OpenAI GPT-4 API.

[0638] Step 5:

[0639] The generative artificial intelligence generates documents based on the received prompt text. The generated documents use natural language processing techniques to correspond to the input data. For example, a document such as "We are launching our new product 'XYZ'. XYZ features new functions and is eligible for same-day delivery and a first-time purchase discount" may be generated.

[0640] Step 6:

[0641] The server receives documents generated by the AI ​​model. The received documents are formatted appropriately based on the user's specified formatting. This formatting includes adjusting paragraphs and applying specific font styles.

[0642] Step 7:

[0643] The formatted document is sent back to the user's device for final review and revisions. The user reviews the document on their device and makes any necessary additional corrections.

[0644] Step 8:

[0645] The final, reviewed and corrected documents are distributed via the server to distribution channels such as blogs and social media. Firebase Cloud Messaging and REST APIs are used for this distribution.

[0646] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0647] This invention is a system for efficiently creating documents that users send to external parties, and in particular, by combining it with an emotion engine that recognizes the user's emotions, it enables the generation of documents with a more appropriate tone and style. The program processing of this system is described in detail below.

[0648] System Configuration

[0649] This system basically consists of a user terminal, a server, generative artificial intelligence (generative AI), and an emotion engine. The user uses the terminal to input the information necessary for document creation, the emotion engine recognizes the user's emotions and sends that emotion information to the server, and the generative AI generates the document based on that information.

[0650] Specific processing of the program

[0651] 1. The user enters information into the terminal.

[0652] The user enters information such as the document's purpose, target audience, key points, and desired format into an input form on their device.

[0653] 2. The emotion engine analyzes user input.

[0654] The emotion engine analyzes user input data or voice input to recognize the user's emotions. For example, it analyzes keyboard typing speed and voice tone.

[0655] 3. The server receives input data and sentiment data.

[0656] The server receives input data sent from the terminal and emotional data analyzed by the emotion engine.

[0657] 4. The server generates data and sends it to the artificial intelligence.

[0658] The server converts the input data and sentiment data into an appropriate format (e.g., JSON format) and sends it to the generative artificial intelligence API.

[0659] 5. Generative artificial intelligence generates documents.

[0660] The generative artificial intelligence generates documents based on input data and sentiment data. It adjusts the tone and style of the document based on the sentiment data.

[0661] 6. The server receives the generated document.

[0662] The server receives a document generated by the AI. This document is customized based on data from the emotion engine.

[0663] 7. The server formats the generated document and sends it to the terminal.

[0664] The server formats the generated document, reshapes it as needed, and sends it to the user's terminal.

[0665] 8. Users review and edit documents.

[0666] The user reviews the document displayed on their device and makes revisions as needed. This completes the final external document.

[0667] Specific example

[0668] Creating a press release for a new product

[0669] 1. The user enters the information into the terminal.

[0670] Enter the purpose (press release for a new product), target audience (consumers, media), key points (new features, same-day delivery, first-time customer discount), and format (formal).

[0671] 2. The emotion engine recognizes the user's emotions.

[0672] The emotion engine analyzes the user's input time and facial expression data during input, recognizing when the user is excited.

[0673] 3. The server receives input data and sentiment data.

[0674] It receives and analyzes data and sentiment data transmitted from the device.

[0675] 4. The server sends data to the generated artificial intelligence.

[0676] The data is converted to JSON format and sent to the artificial intelligence as an API request.

[0677] 5. Generative artificial intelligence generates documents.

[0678] The AI ​​generator produces press release documents with a slightly more passionate tone based on the user's excitement. For example, it might generate content such as, "We are launching our new product, 'ABC'. ABC features exciting new functions and comes with same-day delivery and a first-time customer discount."

[0679] 6. The server receives the generated document.

[0680] The generated document is received as an API response.

[0681] 7. The server formats the document and sends it to the terminal.

[0682] Format the document and send it to the user's device.

[0683] 8. Users review and edit documents.

[0684] Review the document displayed on the terminal, make any necessary corrections, and then send the completed document outside the company.

[0685] In this way, users can quickly and easily create high-quality external documents that reflect their own emotions.

[0686] The following describes the processing flow.

[0687] Step 1:

[0688] The user displays an input form. The user opens a dedicated application or web page on their device and displays an input form for submitting information.

[0689] Step 2:

[0690] The user enters the information. The user enters necessary information such as the document's purpose, target audience, key points, and desired format into the input form.

[0691] Step 3:

[0692] After the user completes their input, the emotion engine analyzes the user's emotions. The emotion engine analyzes the user's facial expressions and voice tone in real time during input to obtain the user's emotional data.

[0693] Step 4:

[0694] The terminal sends input data and sentiment data to the server. The terminal sends the input information and sentiment data generated by the sentiment engine to the server in the form of an HTTP POST request or similar.

[0695] Step 5:

[0696] The server receives the request. The server receives the data sent from the terminal and analyzes the input data and sentiment data.

[0697] Step 6:

[0698] The server converts the data into a format that can be passed to the generating AI. The server analyzes the received input data and sentiment data and converts it into a format suitable for generating artificial intelligence (e.g., JSON format).

[0699] Step 7:

[0700] The server sends an API request to the generative AI. The server sends a request to the generative AI's API that includes formatted input data and sentiment data.

[0701] Step 8:

[0702] The generative AI generates the document. The generative AI generates the document based on the provided input data and sentiment data. For example, if the user is excited, the tone of the document will be adjusted to be more passionate.

[0703] Step 9:

[0704] The generation AI sends the generated document back to the server. The generation AI sends the completed document back to the server as an API response.

[0705] Step 10:

[0706] The server receives the generated document. The server receives the document returned from the generating AI and analyzes its contents.

[0707] Step 11:

[0708] The server formats the generated document. The server formats the received document based on the user's requirements and reshapes it as needed.

[0709] Step 12:

[0710] The server formats the document and sends it to the user's terminal. This is done, for example, using an HTTP response.

[0711] Step 13:

[0712] The terminal displays the document. The terminal visually displays the document received from the server to the user.

[0713] Step 14:

[0714] The user reviews the document. The user reviews the displayed document and makes corrections as needed.

[0715] Step 15:

[0716] The user completes the final document. The user finalizes the revised document as the final external document.

[0717] (Example 2)

[0718] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0719] Conventional document creation systems generate documents without considering the user's emotions, resulting in a problem where the tone and style of the document do not reflect the user's intentions or state of mind. This creates a challenge in expressing emotions appropriately, especially in documents where emotions are a crucial element.

[0720] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0721] In this invention, the server includes means for receiving input data, means for analyzing the received input data to generate emotion data, means for transmitting the received input data and emotion data to a generating artificial intelligence, means for receiving documents generated by the generating artificial intelligence, and means for formatting the received generated document and returning it to the terminal. This makes it possible to generate documents that reflect the user's emotions.

[0722] "Input data" refers to the information necessary for document creation that the user enters via their device. This includes the document's purpose, target audience, key points, and desired format.

[0723] "Emotional data" refers to information indicating the user's emotional state, obtained by the emotion engine through analysis of the user's input data and behavior.

[0724] "Generative artificial intelligence" refers to artificial intelligence models that generate documents based on input data and sentiment data.

[0725] "Generated documents" refer to documents generated by artificial intelligence, and may reflect the user's emotions.

[0726] "Formatting" refers to the process of adjusting the format and layout of a generated document to an appropriate form.

[0727] A "terminal" refers to hardware used by users to input data and to review and modify generated documents.

[0728] This invention relates to a system for efficiently creating documents that users will use to disseminate information outside the company. In particular, by combining it with an emotion engine that recognizes the user's emotions, it becomes possible to generate documents with a more appropriate tone and style. The system configuration includes a user terminal, a server, generative artificial intelligence (generative AI), and an emotion engine.

[0729] System Configuration

[0730] The system consists of the following hardware and software:

[0731] Terminal: Hardware used by users to input data and to review and modify generated documents. Generally, personal computers or smartphones are used.

[0732] Server: Hardware for managing the reception and transmission of data, as well as the generation of sentiment data and document generation.

[0733] Emotion engine: Software that analyzes user input data and behavior to generate emotion data.

[0734] Generative AI: An artificial intelligence model that generates documents based on input data and sentiment data.

[0735] Program processing

[0736] The server stores the input data sent by the user in a database and simultaneously sends it to the emotion engine to generate the user's emotion data. The emotion engine analyzes keyboard typing speed, input time, voice tone, facial expression data, etc., to recognize emotions. This emotion data is then sent back to the server.

[0737] The server sends the received input data and sentiment data to a generative AI model. The generative AI model generates a document with adjusted tone and style based on this data. This generated document is sent to the server, which formats the document and sends it back to the terminal. The user reviews the document displayed on the terminal and makes corrections as needed.

[0738] Specific operation of the system

[0739] Example: Creating a press release for a new product

[0740] 1. The user enters information into the terminal.

[0741] For example, users input information such as "new product press release," "consumers, media," "new features, same-day delivery, first-time discount," and "formal" into their device.

[0742] 2. The emotion engine recognizes the user's emotions.

[0743] The system analyzes the user's input time and facial expression data during input to recognize when the user is excited.

[0744] 3. The server receives input data and sentiment data.

[0745] It receives and analyzes data and sentiment data transmitted from the device.

[0746] 4. The server sends data to the generating AI.

[0747] Send input data and emotion data to the generating artificial intelligence.

[0748] 5. Generative AI generates documents.

[0749] The AI ​​generator produces press release documents with a slightly more passionate tone based on the user's excitement. For example, it might generate content such as, "We are launching our new product, 'ABC'. ABC features exciting new functions and comes with same-day delivery and a first-time customer discount."

[0750] 6. The server receives the generated document.

[0751] The server receives the document generated by the AI.

[0752] 7. The server formats the generated document and sends it to the terminal.

[0753] The server formats the generated document and sends it to the terminal.

[0754] 8. Users review and edit documents.

[0755] The user reviews the document displayed on the device and makes corrections as needed.

[0756] This allows users to quickly and easily create high-quality external documents that reflect their own emotions.

[0757] Example of a prompt

[0758] For example, by entering prompts such as "Create a press release for a new product," "Target: Consumers, Media," "Key points: New features, Same-day delivery, First-time discount," and "Format: Formal," the AI ​​will generate an appropriate document.

[0759] This invention makes it easier to create documents that reflect the user's emotions, enabling the effective dissemination of content, especially in important corporate communications.

[0760] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0761] Step 1:

[0762] The user enters information into the terminal.

[0763] Specific operation: The user accesses an input form on the terminal and enters the document's purpose, target audience, key points, and desired format.

[0764] Input: Data entered by the user into the form on their device.

[0765] Output: Input data sent to the server (document purpose, target audience, key points, desired format).

[0766] Step 2:

[0767] The server analyzes the received input data and sends it to the emotion engine.

[0768] Specific operation: The server receives input data sent from the terminal and sends that data to the emotion engine.

[0769] Input: Input data sent from the terminal.

[0770] Output: Input data sent to the emotion engine.

[0771] Step 3:

[0772] The emotion engine analyzes user input and generates emotion data.

[0773] Specific operation: The emotion engine analyzes keyboard typing speed, input time, voice tone, facial expression data, etc., to recognize the user's emotions and generate data.

[0774] Input: Input data sent from the server.

[0775] Output: Sentiment data indicating the user's emotions.

[0776] Step 4:

[0777] The server receives emotion data from the emotion engine.

[0778] Specific operation: The server receives emotion data sent from the emotion engine.

[0779] Input: Emotional data sent from the emotion engine.

[0780] Output: Emotional data stored on the server.

[0781] Step 5:

[0782] The server sends input data and emotional data to the generating artificial intelligence.

[0783] Specific operation: The server converts the input data and sentiment data into the appropriate format and sends it to the generative AI. It constructs the data in JSON format and sends a request to the generative AI's API.

[0784] Input: Input data and sentiment data stored on the server.

[0785] Output: JSON formatted data sent to the generating AI.

[0786] Step 6:

[0787] The generative artificial intelligence generates the document.

[0788] Specific operation: The generative artificial intelligence generates documents based on the received input data and sentiment data, and adjusts the tone and style.

[0789] Input: JSON formatted data sent from the server.

[0790] Output: The generated document.

[0791] Step 7:

[0792] The server receives the generated document.

[0793] Specific operation: The server receives the generated document returned by the generation AI. The document is returned as an API response.

[0794] Input: The generated document returned by the generation AI.

[0795] Output: The generated document saved on the server.

[0796] Step 8:

[0797] The server formats the generated document and sends it to the terminal.

[0798] Specific operation: The server formats the received generated document, reshapes it as needed, and sends it to the user's terminal.

[0799] Input: Generated document stored on the server.

[0800] Output: The formatted document sent to the terminal.

[0801] Step 9:

[0802] Users review and edit documents.

[0803] Specific operation: The user reviews the generated document displayed on the terminal, makes corrections as needed, and completes the document.

[0804] Input: A formatted document sent to the terminal.

[0805] Output: Revised and completed document.

[0806] (Application Example 2)

[0807] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0808] In today's business environment, effective communication with customers is crucial. However, in real-time customer service at retail stores, it is difficult to accurately interpret customer emotions and provide optimal suggestions and responses based on them. Traditional methods rely on the skills and experience of the staff member handling the interaction, making it difficult to provide consistently high-quality service.

[0809] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving input data, means for analyzing the received input data with an emotion engine and transmitting the emotion data to a generating artificial intelligence, means for receiving documents generated by the generating artificial intelligence, and means for formatting the received generated documents and returning them to the terminal. This enables the real-time generation of documents based on customer emotions, allowing for appropriate and consistent customer service.

[0810] "Input data" refers to the information and data that users provide to the system. This includes text information, audio data, and even user sentiment data.

[0811] An "emotion engine" is software or an algorithm that analyzes user-provided input data to identify the user's emotional state. This allows for the extraction and analysis of the user's emotions from the input data.

[0812] "Generative artificial intelligence" refers to an algorithm or model that generates new documents based on input data and sentiment data. This includes generative AI models that automatically generate documents based on appropriate prompt sentences.

[0813] A "generated document" is a text document created by generative artificial intelligence, in which the required tone and style are adjusted based on sentiment data.

[0814] A "server" is a core computer system that processes data received from the user's terminal and emotional data analyzed by the emotion engine, and transmits it to the generating artificial intelligence. It works in conjunction with the user's terminal to perform a series of processes such as sending and receiving data and generating documents.

[0815] A "terminal" refers to a device that a user directly operates, and includes smartphones, tablets, and personal computers. Terminals are used for transmitting input data and for checking and modifying generated documents.

[0816] A "system containing" refers to an integrated set of hardware and software that encompasses specific functions or components. This clarifies the specific elements that the system in question possesses.

[0817] A "new product press release document" is an official document used to announce information about a new product and is released to consumers and the media.

[0818] "Customer support documents" are documents created to facilitate smooth communication with customers, and include product descriptions, service information, and troubleshooting responses.

[0819] This invention relates to a system in which a user inputs information necessary for document creation using a user's terminal, an emotion engine recognizes the user's emotions, and transmits that emotion information to a server, thereby generating an appropriate document using generative artificial intelligence. This system includes means for receiving input data, means for analyzing the received input data with the emotion engine and transmitting the emotion data to the generative artificial intelligence, means for receiving the document generated by the generative artificial intelligence, and means for formatting the received generated document and returning it to the terminal.

[0820] Program Processing Description

[0821] 1. User's terminal

[0822] Users use their devices (smartphones, tablets, personal computers, etc.) to input the information necessary for document creation. This includes the purpose, target audience, key points, and desired format.

[0823] It collects data by taking voice and text input.

[0824] 2. Emotional Engine

[0825] The emotion engine analyzes the input data sent from the device. The emotion engine uses speech analysis libraries (e.g., Google Cloud Speech-to-Text or IBM Watson) to identify emotions from the user's input data.

[0826] The emotion engine extracts the user's emotional data and sends that data to the server.

[0827] 3. Server

[0828] The server receives user input data and sentiment data and sends it to the generating artificial intelligence. The data is generally converted to JSON format.

[0829] A request is sent to the generation AI API, and the generation process is performed.

[0830] 4. Generative Artificial Intelligence

[0831] Generative artificial intelligence (e.g., OpenAI GPT-3) generates documents based on received input data and sentiment data. In this process, it adjusts the tone and style of the document based on the sentiment data.

[0832] 5. Server

[0833] It receives documents generated by artificial intelligence and formats them as needed, such as adjusting the format or changing the layout.

[0834] The formatted document is returned to the user's terminal.

[0835] 6. User's terminal

[0836] The generated document is displayed on the user's device, allowing the user to review it and make corrections as needed.

[0837] Specific example

[0838] For example, consider a scenario where a user is creating a press release for a new product. The user enters the following information on their device: "Purpose: Press release for a new product," "Target audience: Consumers, media," "Key points: New features, same-day delivery, first-time discount," and "Desired format: Formal." The entered information is analyzed by an emotion engine, which recognizes that the user is excited. This input data, including emotion data, is sent via a server to a generating artificial intelligence. The generating AI then generates a press release document based on this data, reflecting the excited tone. For example, it might generate a document stating, "We are launching our new product, 'ABC.' ABC features exciting new functions and comes with same-day delivery and a first-time discount."

[0839] Example of a prompt

[0840] "The customer is interested in the product and has asked questions. Based on their interest, please generate a proposal that includes the following information: new product features and benefits, and in-store perks."

[0841] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0842] Step 1:

[0843] The user's terminal provides an interface for inputting the information necessary for document creation. The user inputs information such as the document's purpose, target audience, key points, and desired formatting. The input data is used to generate text and sentiment data, which are then analyzed by the sentiment engine.

[0844] Step 2:

[0845] The device sends the input data to the emotion engine. The emotion engine analyzes the input data, as well as data such as the user's voice and facial expressions at the time of input, to identify the user's emotions. For example, it analyzes voice tone and input speed. As a result of the analysis, it obtains the user's emotion data.

[0846] Step 3:

[0847] The terminal sends sentiment data, analyzed by the sentiment engine, to the server. The input data at this time includes information necessary for document creation (purpose, target audience, key points, desired format, etc.) and sentiment data. The server converts this data into a specific format (e.g., JSON format) and processes it.

[0848] Step 4:

[0849] The server sends input data and sentiment data to the generating artificial intelligence. The generating AI then begins processing this data to generate a document. The generated document is then adjusted in tone and style based on the user's sentiment data.

[0850] Step 5:

[0851] Generative artificial intelligence generates new documents using input data and sentiment data. Based on generation prompts, documents are generated that match the user's intent and sentiment. For example, it might use the prompt: "The customer is interested in the product and has questions. Based on that interest, generate a suggestion document that includes the following information: new product features and benefits, and in-store offers."

[0852] Step 6:

[0853] The server receives documents generated by the artificial intelligence. The received documents undergo formatting processes such as adjusting the format and changing the layout. This makes the final document easy to read and organized.

[0854] Step 7:

[0855] The formatted generated document is sent back from the server to the user's terminal. The user's terminal displays the generated document for review. The user makes revisions to the document as needed to complete the final external document.

[0856] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0857] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0858] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0859] [Third Embodiment]

[0860] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0861] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0862] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0863] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0864] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0865] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0866] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0867] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0868] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0869] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0870] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0871] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0872] This invention is a system that allows users to efficiently create documents for disseminating information outside the company, and the processing of the program is described in detail below.

[0873] System Configuration

[0874] This system basically consists of a user terminal, a server, and a generating artificial intelligence (AI). The user uses the terminal to input the information necessary for document creation, and the server transmits that information to the generating AI to generate the document.

[0875] Program processing

[0876] 1. The user enters information into the terminal.

[0877] The user enters necessary information such as the document's purpose, target audience, key points, and desired format into an input form on their device.

[0878] 2. The server receives the input data.

[0879] The server receives input data sent from the terminal. For example, an HTTP POST request might be used for this purpose.

[0880] 3. The server sends data to the generated artificial intelligence.

[0881] The server converts the received input data into an appropriate format (e.g., JSON) and sends it to the generation AI API.

[0882] 4. Generative artificial intelligence generates documents.

[0883] Generative artificial intelligence generates documents based on input data. For example, it can use natural language processing techniques to generate press release documents.

[0884] 5. The server receives the generated document.

[0885] The server receives a document generated by artificial intelligence. This document is customized based on the information entered by the user.

[0886] 6. The server formats the document and sends it to the terminal.

[0887] The server formats the generated document as needed and sends it back to the user's terminal. This is where the document formatting is adjusted.

[0888] 7. Users review and edit documents.

[0889] The user reviews the document displayed on their device and makes revisions as needed. This completes the final external document.

[0890] Specific example

[0891] Creating a press release for a new product

[0892] 1. The user enters the information into the terminal.

[0893] Enter the purpose (press release for a new product), target audience (consumers, media), key points (new features, same-day delivery, first-time customer discount), and format (formal).

[0894] 2. The server receives the input data.

[0895] It receives and analyzes data sent from the terminal.

[0896] 3. The server sends data to the generated artificial intelligence.

[0897] The data is converted to JSON format and sent to the artificial intelligence as an API request.

[0898] 4. Generative artificial intelligence generates documents.

[0899] The AI ​​generates press release documents. For example, it might generate content such as, "We are launching our new product, 'ABC'. ABC features new functions and is eligible for same-day delivery and a first-time purchase discount."

[0900] 5. The server receives the generated document.

[0901] The generated document is received as an API response.

[0902] 6. The server formats the document and sends it to the terminal.

[0903] Format the generated document and send it to the user's terminal.

[0904] 7. Users review and edit documents.

[0905] Review the document displayed on the terminal, make any necessary corrections, and then send the completed document outside the company.

[0906] In this way, a system is created that allows users to create high-quality documents quickly and easily.

[0907] The following describes the processing flow.

[0908] Step 1:

[0909] The user displays an input form. The user opens a dedicated application or web page on their device and displays an input form for submitting information.

[0910] Step 2:

[0911] The user enters the information. The user enters necessary information such as the document's purpose, target audience, key points, and desired format into the input form.

[0912] Step 3:

[0913] The user clicks the submit button. After completing the input, the user clicks the "Submit" button to send the data from their device to the server.

[0914] Step 4:

[0915] The terminal sends the input data to the server. The terminal sends the input data to the server in the form of an HTTP POST request or similar.

[0916] Step 5:

[0917] The server receives the request. The server receives the request sent from the terminal and parses the input data.

[0918] Step 6:

[0919] The server converts the data into a format that can be passed to the generating AI. The server analyzes the received input data and converts it into a format suitable for generating artificial intelligence (e.g., JSON format).

[0920] Step 7:

[0921] The server sends an API request to the generating AI. The server sends a request containing formatted data to the generating AI's API.

[0922] Step 8:

[0923] The generative AI generates documents. The generative AI generates documents based on the provided input data. For example, it can automatically generate detailed information about new products or press releases targeted at specific audiences.

[0924] Step 9:

[0925] The generation AI sends the generated document back to the server. The generation AI sends the completed document back to the server as an API response.

[0926] Step 10:

[0927] The server receives the generated document. The server receives the document returned from the generating AI and analyzes its contents.

[0928] Step 11:

[0929] The server formats the generated document. The server formats the received document according to the user's requirements and reshapes it as needed.

[0930] Step 12:

[0931] The server formats the document and sends it to the user's terminal. This is done, for example, using an HTTP response.

[0932] Step 13:

[0933] The terminal displays the document. The terminal visually displays the document received from the server to the user.

[0934] Step 14:

[0935] The user reviews the document. The user reviews the displayed document and makes corrections as needed.

[0936] Step 15:

[0937] The user completes the final document. The user finalizes the revised document as the final external document.

[0938] (Example 1)

[0939] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0940] Traditional document creation systems had the problem that users had to spend a great deal of time and effort creating documents from scratch. Furthermore, creating documents, especially for external use, required specialized knowledge and skills, making it difficult to quickly produce high-quality documents.

[0941] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0942] In this invention, the server includes means for the user to input information necessary for document creation into a terminal, means for receiving input data transmitted from the terminal, and means for converting the received input data into an appropriate format and transmitting it to the generative artificial intelligence. This makes it possible for users to quickly create high-quality documents using generative artificial intelligence simply by inputting the information they need.

[0943] A "user" is someone who operates the system and inputs information for document creation.

[0944] A "terminal" is a device, such as a computer or smartphone, that a user uses to input information and communicate with a server.

[0945] A "server" is a central computer system that receives data sent from a user's terminal and communicates with a generating artificial intelligence to generate documents.

[0946] "Input data" refers to data that users enter into their terminals as information necessary for document creation, and includes the purpose, target audience, key points, and desired format.

[0947] "Means of receiving" refers to the functions and methods that a server uses to acquire data transmitted from a terminal.

[0948] "Generative artificial intelligence" is an artificial intelligence technology that automatically generates documents based on information entered by the user.

[0949] A "generated document" is a high-quality document created by a generative artificial intelligence and received by a server.

[0950] "Formatting means" refers to processing means for optimizing the generated document through formatting adjustments and other means before returning it to the user's terminal.

[0951] "Means of confirmation and modification" refers to the method of operation that allows the user to view the generated document displayed on the terminal and change its content as needed.

[0952] This invention is a system for efficiently creating documents for users to disseminate information outside the company. This system mainly consists of a user terminal, a server, and a generating artificial intelligence. The specific embodiments of the system will be described in detail below.

[0953] First, the user uses the terminal to input the information necessary for document creation. A dedicated input form is provided on the terminal, where the user enters necessary information such as purpose, target audience, key points, and desired format. For example, in the case of a press release for a new product, the user would enter information such as "Purpose: Press release for a new product," "Target audience: Consumers, media," "Key points: New features, same-day delivery, first-time discount," and "Desired format: Formal."

[0954] Next, the server receives the input data sent from the terminal. Here, the server receives the data via an HTTP POST request and immediately converts the received data into an appropriate format (e.g., JSON). This converted data is then sent to the generative artificial intelligence API.

[0955] Generative artificial intelligence generates documents based on received data. It utilizes natural language processing techniques (such as the latest generative AI model, GPT-4) to automatically create documents best suited to the user's input. For example, it might generate specific content like, "We are launching our new product, 'ABC'. ABC features new functions and offers same-day delivery and a first-time purchase discount."

[0956] Subsequently, the server receives the document generated by the AI. The received document is formatted on the server side, including formatting adjustments, and then sent back to the terminal as the final document. On the user's terminal, the formatted document is displayed in the browser.

[0957] Users can review the generated document displayed on their device and make corrections as needed. In this way, the final external document is completed, enabling users to create high-quality documents easily and quickly.

[0958] Example of a prompt

[0959] The following is an example of a prompt message used when generating a press release document for a new product.

[0960] Purpose: Press release for a new product

[0961] Target audience: Consumers, media

[0962] Key points: New features, same-day delivery, first-time customer discount

[0963] Desired format: Formal

[0964] In this way, the system automatically generates appropriate documents based on the information entered by the user, significantly improving both their quality and efficiency.

[0965] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0966] Program processing flow

[0967] Step 1:

[0968] The user enters the information necessary for document creation into the terminal.

[0969] Input: Document purpose, target audience, key points, desired format, etc.

[0970] Specific operation: The user opens a web browser on their device and accesses a dedicated input form. They enter information such as "Purpose: Press release for a new product," "Target audience: Consumers, media," "Key points: New features, same-day delivery, first-time discount," and "Desired format: Formal" into each field of the form.

[0971] Output: Input data

[0972] Step 2:

[0973] The server receives the input data.

[0974] Input: Data entered by the user on the device.

[0975] Specific operation: When the user clicks the "Submit" button in the input form, the device sends an HTTP POST request to the server. The server parses the received HTTP POST request and retrieves the input data.

[0976] Output: Input data stored in the server's memory.

[0977] Step 3:

[0978] The server converts the received input data into an appropriate format and sends it to the generating artificial intelligence.

[0979] Input: Input data stored in memory by the server.

[0980] Specific operation: The server converts the acquired input data into JSON format and sends the converted data as an HTTP POST request to the generated artificial intelligence API.

[0981] Output: JSON format data sent to the generating artificial intelligence.

[0982] Step 4:

[0983] Generative artificial intelligence generates documents based on input data.

[0984] Input: Input data in JSON format

[0985] Specific operation: The generative artificial intelligence initiates the document generation process based on the received data and uses natural language generation technology (e.g., GPT-4) to create a press release document. Specific documents such as "We are launching our new product 'ABC'. ABC features new functions and is eligible for same-day delivery and a first-time purchase discount." are generated.

[0986] Output: Generated document

[0987] Step 5:

[0988] The server receives documents generated by artificial intelligence.

[0989] Input: API response containing the generated document

[0990] Specific operation: The server receives the document generated as an API response from the generative artificial intelligence, parses (analyzes) the document content, and retrieves it.

[0991] Output: Generated documents stored in the server-side database or memory.

[0992] Step 6:

[0993] The server formats the generated document and sends it to the terminal.

[0994] Input: Generated document stored in memory by the server

[0995] Specific operation: The server formats the received generated document as needed, making adjustments to formatting such as font and paragraph alignment. The formatted document is then sent back to the user's terminal as an HTTP response.

[0996] Output: Formatted final document

[0997] Step 7:

[0998] The user reviews the generated document displayed on their device and makes corrections as needed.

[0999] Input: Formatted document displayed on the terminal

[1000] Specific operation: The user reviews the generated document displayed in the browser on their device and modifies the content and format as needed. Modifications are made using the editing tools available in the browser.

[1001] Output: Completed final document

[1002] In this way, through a series of steps, users can create high-quality documents quickly and efficiently.

[1003] (Application Example 1)

[1004] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1005] Traditional document creation systems required users to generate documents themselves and expend a significant amount of time and effort to distribute their content. This was particularly inefficient when dealing with multiple distribution channels (blogs, social media, etc.), as documents had to be manually formatted for each channel. Furthermore, creating high-quality documents was difficult for users without specialized knowledge, resulting in inconsistent content quality.

[1006] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[1007] In this invention, the server includes means for receiving input data, means for transmitting the received input data to a generating artificial intelligence, means for receiving documents generated by the generating artificial intelligence, means for formatting the generated documents and returning them to the terminal, and means for distributing the generated documents. This enables users to efficiently generate high-quality documents and distribute them appropriately to multiple distribution channels.

[1008] "Input data" refers to information about the content and conditions of the document being generated by the user. This includes the purpose, target audience, key points, and desired format.

[1009] "Generative artificial intelligence" refers to artificial intelligence technology that automatically generates documents based on input data. This includes models that use natural language processing technology.

[1010] A "generated document" refers to a document created by an artificial intelligence based on data entered by the user.

[1011] A "terminal" refers to a device used by the user, such as a computer, smartphone, or tablet. The generated document is displayed and can be edited.

[1012] "Distribution channel" refers to the medium or platform through which the generated document is distributed. This includes blogs, social media, and email newsletters.

[1013] A "server" refers to a computer system that performs tasks such as receiving input data, sending data to generating artificial intelligence, receiving generated documents, formatting documents, and returning them.

[1014] This invention describes a system that enables users to efficiently generate high-quality documents and distribute them to multiple distribution channels, and explains its specific implementation method. The system configuration and operation are described in detail below.

[1015] System Configuration

[1016] This system primarily consists of a user terminal, a server, and a generative artificial intelligence (AI). The user uses the terminal to input the information necessary for document creation, the server transmits that information to the AI ​​to generate the document, and finally distributes the generated document to the distribution channel.

[1017] Hardware and software to be used

[1018] Device: A device used by a user, such as a computer, smartphone, or tablet.

[1019] Server: A backend system built using Node.js, Express, and AWS Lambda.

[1020] Generative Artificial Intelligence: A generative AI model using OpenAI GPT-4.

[1021] Delivery channels: Firebase Cloud Messaging, REST API, etc.

[1022] Program Processing Description

[1023] 1. User input

[1024] The user enters information such as the document's purpose, target audience, key points, and desired format into an input form on their device. This sends the user's specific requirements to the server.

[1025] 2. Receiving and transmitting data by the server

[1026] Information sent from the device is received by a server built using Node.js and Express. The received data is converted to JSON format and sent to the OpenAI GPT-4 API via AWS Lambda.

[1027] 3. Document generation using artificial intelligence

[1028] Generative artificial intelligence (OpenAI GPT-4) generates documents based on the data it receives. Specifically, it uses natural language processing techniques to generate appropriate documents based on prompts that correspond to the input information.

[1029] 4. Receiving and formatting the generated document

[1030] The server receives the generated document from OpenAI GPT-4 and formats it as needed. The formatted document is then sent to the terminal for the user to review.

[1031] 5. User review and revision of documents

[1032] The user reviews the generated document displayed on the terminal and makes corrections as needed. At this stage, the user can check the quality of the final document and approve it.

[1033] 6. Distribution of generated documents

[1034] Once the documents have been corrected and verified, they will be appropriately distributed to distribution channels such as blogs and social media. Distribution will be carried out using Firebase Cloud Messaging or the REST API.

[1035] Specific example

[1036] For example, when creating an article introducing a new product, the user will enter the following information:

[1037] Purpose: To introduce new products

[1038] Target audience: Consumers, media

[1039] Key points: New features, same-day delivery, first-time customer discount

[1040] Format: Formal

[1041] A prompt message is generated based on this input information. An example of a prompt message is as follows:

[1042] "Purpose of the article: To introduce a new product"

[1043] "Target audience: Consumers, media"

[1044] "Key points: New features, same-day delivery, first-time customer discount"

[1045] Format: Formal

[1046] Based on this prompt, OpenAI GPT-4 creates a generated document such as, "We are launching our new product, 'XYZ'. XYZ features new functions and offers same-day delivery and a first-time purchase discount." The generated document is formatted on the server and sent back to the user's terminal. The document is then reviewed and ultimately distributed to blogs and social media.

[1047] Through the above process, users can efficiently generate high-quality documents and instantly distribute them to various distribution channels.

[1048] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1049] Step 1:

[1050] The user enters information for document generation (purpose, target audience, key points, desired format) into the terminal. The entered data is sent to the server as an HTTP POST request. Examples of entered data include new product introductions, consumer / media information, new features / same-day delivery / first-time discounts, and formality.

[1051] Step 2:

[1052] The server receives data sent by the user. The received data is converted to JSON format and then parsed. This parsing verifies that each item (purpose, target audience, key points, format) is correctly specified.

[1053] Step 3:

[1054] The server generates prompt text using the analyzed data. This prompt text is used as input data sent to the generating artificial intelligence. For example, it might take the form of: "Article Purpose: Introducing a new product," "Target Audience: Consumers, Media," "Key Points: New features, Same-day delivery, First-time discount," and "Format: Formal."

[1055] Step 4:

[1056] The server converts the generated prompt messages into JSON format and sends them to the API of the generated AI model. For example, Node.js or Express can be used to call the OpenAI GPT-4 API.

[1057] Step 5:

[1058] The generative artificial intelligence generates documents based on the received prompt text. The generated documents use natural language processing techniques to correspond to the input data. For example, a document such as "We are launching our new product 'XYZ'. XYZ features new functions and is eligible for same-day delivery and a first-time purchase discount" may be generated.

[1059] Step 6:

[1060] The server receives documents generated by the AI ​​model. The received documents are formatted appropriately based on the user's specified formatting. This formatting includes adjusting paragraphs and applying specific font styles.

[1061] Step 7:

[1062] The formatted document is sent back to the user's device for final review and revisions. The user reviews the document on their device and makes any necessary additional corrections.

[1063] Step 8:

[1064] The final, reviewed and corrected documents are distributed via the server to distribution channels such as blogs and social media. Firebase Cloud Messaging and REST APIs are used for this distribution.

[1065] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1066] This invention is a system for efficiently creating documents that users send to external parties, and in particular, by combining it with an emotion engine that recognizes the user's emotions, it enables the generation of documents with a more appropriate tone and style. The program processing of this system is described in detail below.

[1067] System Configuration

[1068] This system basically consists of a user terminal, a server, generative artificial intelligence (generative AI), and an emotion engine. The user uses the terminal to input the information necessary for document creation, the emotion engine recognizes the user's emotions and sends that emotion information to the server, and the generative AI generates the document based on that information.

[1069] Specific processing of the program

[1070] 1. The user enters information into the terminal.

[1071] The user enters information such as the document's purpose, target audience, key points, and desired format into an input form on their device.

[1072] 2. The emotion engine analyzes user input.

[1073] The emotion engine analyzes user input data or voice input to recognize the user's emotions. For example, it analyzes keyboard typing speed and voice tone.

[1074] 3. The server receives input data and sentiment data.

[1075] The server receives input data sent from the terminal and emotional data analyzed by the emotion engine.

[1076] 4. The server generates data and sends it to the artificial intelligence.

[1077] The server converts the input data and sentiment data into an appropriate format (e.g., JSON format) and sends it to the generative artificial intelligence API.

[1078] 5. Generative artificial intelligence generates documents.

[1079] The generative artificial intelligence generates documents based on input data and sentiment data. It adjusts the tone and style of the document based on the sentiment data.

[1080] 6. The server receives the generated document.

[1081] The server receives a document generated by the AI. This document is customized based on data from the emotion engine.

[1082] 7. The server formats the generated document and sends it to the terminal.

[1083] The server formats the generated document, reshapes it as needed, and sends it to the user's terminal.

[1084] 8. Users review and edit documents.

[1085] The user reviews the document displayed on their device and makes revisions as needed. This completes the final external document.

[1086] Specific example

[1087] Creating a press release for a new product

[1088] 1. The user enters the information into the terminal.

[1089] Enter the purpose (press release for a new product), target audience (consumers, media), key points (new features, same-day delivery, first-time customer discount), and format (formal).

[1090] 2. The emotion engine recognizes the user's emotions.

[1091] The emotion engine analyzes the user's input time and facial expression data during input, recognizing when the user is excited.

[1092] 3. The server receives input data and sentiment data.

[1093] It receives and analyzes data and sentiment data transmitted from the device.

[1094] 4. The server sends data to the generated artificial intelligence.

[1095] The data is converted to JSON format and sent to the artificial intelligence as an API request.

[1096] 5. Generative artificial intelligence generates documents.

[1097] The AI ​​generator produces press release documents with a slightly more passionate tone based on the user's excitement. For example, it might generate content such as, "We are launching our new product, 'ABC'. ABC features exciting new functions and comes with same-day delivery and a first-time customer discount."

[1098] 6. The server receives the generated document.

[1099] The generated document is received as an API response.

[1100] 7. The server formats the document and sends it to the terminal.

[1101] Format the document and send it to the user's device.

[1102] 8. Users review and edit documents.

[1103] Review the document displayed on the terminal, make any necessary corrections, and then send the completed document outside the company.

[1104] In this way, users can quickly and easily create high-quality external documents that reflect their own emotions.

[1105] The following describes the processing flow.

[1106] Step 1:

[1107] The user displays an input form. The user opens a dedicated application or web page on their device and displays an input form for submitting information.

[1108] Step 2:

[1109] The user enters the information. The user enters necessary information such as the document's purpose, target audience, key points, and desired format into the input form.

[1110] Step 3:

[1111] After the user completes their input, the emotion engine analyzes the user's emotions. The emotion engine analyzes the user's facial expressions and voice tone in real time during input to obtain the user's emotional data.

[1112] Step 4:

[1113] The terminal sends input data and sentiment data to the server. The terminal sends the input information and sentiment data generated by the sentiment engine to the server in the form of an HTTP POST request or similar.

[1114] Step 5:

[1115] The server receives the request. The server receives the data sent from the terminal and analyzes the input data and sentiment data.

[1116] Step 6:

[1117] The server converts the data into a format that can be passed to the generating AI. The server analyzes the received input data and sentiment data and converts it into a format suitable for generating artificial intelligence (e.g., JSON format).

[1118] Step 7:

[1119] The server sends an API request to the generative AI. The server sends a request to the generative AI's API that includes formatted input data and sentiment data.

[1120] Step 8:

[1121] The generative AI generates the document. The generative AI generates the document based on the provided input data and sentiment data. For example, if the user is excited, the tone of the document will be adjusted to be more passionate.

[1122] Step 9:

[1123] The generation AI sends the generated document back to the server. The generation AI sends the completed document back to the server as an API response.

[1124] Step 10:

[1125] The server receives the generated document. The server receives the document returned from the generating AI and analyzes its contents.

[1126] Step 11:

[1127] The server formats the generated document. The server formats the received document based on the user's requirements and reshapes it as needed.

[1128] Step 12:

[1129] The server formats the document and sends it to the user's terminal. This is done, for example, using an HTTP response.

[1130] Step 13:

[1131] The terminal displays the document. The terminal visually displays the document received from the server to the user.

[1132] Step 14:

[1133] The user reviews the document. The user reviews the displayed document and makes corrections as needed.

[1134] Step 15:

[1135] The user completes the final document. The user finalizes the revised document as the final external document.

[1136] (Example 2)

[1137] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1138] Conventional document creation systems generate documents without considering the user's emotions, resulting in a problem where the tone and style of the document do not reflect the user's intentions or state of mind. This creates a challenge in expressing emotions appropriately, especially in documents where emotions are a crucial element.

[1139] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[1140] In this invention, the server includes means for receiving input data, means for analyzing the received input data to generate emotion data, means for transmitting the received input data and emotion data to a generating artificial intelligence, means for receiving documents generated by the generating artificial intelligence, and means for formatting the received generated document and returning it to the terminal. This makes it possible to generate documents that reflect the user's emotions.

[1141] "Input data" refers to the information necessary for document creation that the user enters via their device. This includes the document's purpose, target audience, key points, and desired format.

[1142] "Emotional data" refers to information indicating the user's emotional state, obtained by the emotion engine through analysis of the user's input data and behavior.

[1143] "Generative artificial intelligence" refers to artificial intelligence models that generate documents based on input data and sentiment data.

[1144] "Generated documents" refer to documents generated by artificial intelligence, and may reflect the user's emotions.

[1145] "Formatting" refers to the process of adjusting the format and layout of a generated document to an appropriate form.

[1146] A "terminal" refers to hardware used by users to input data and to review and modify generated documents.

[1147] This invention relates to a system for efficiently creating documents that users will use to disseminate information outside the company. In particular, by combining it with an emotion engine that recognizes the user's emotions, it becomes possible to generate documents with a more appropriate tone and style. The system configuration includes a user terminal, a server, generative artificial intelligence (generative AI), and an emotion engine.

[1148] System Configuration

[1149] The system consists of the following hardware and software:

[1150] Terminal: Hardware used by users to input data and to review and modify generated documents. Generally, personal computers or smartphones are used.

[1151] Server: Hardware for managing the reception and transmission of data, as well as the generation of sentiment data and document generation.

[1152] Emotion engine: Software that analyzes user input data and behavior to generate emotion data.

[1153] Generative AI: An artificial intelligence model that generates documents based on input data and sentiment data.

[1154] Program processing

[1155] The server stores the input data sent by the user in a database and simultaneously sends it to the emotion engine to generate the user's emotion data. The emotion engine analyzes keyboard typing speed, input time, voice tone, facial expression data, etc., to recognize emotions. This emotion data is then sent back to the server.

[1156] The server sends the received input data and sentiment data to a generative AI model. The generative AI model generates a document with adjusted tone and style based on this data. This generated document is sent to the server, which formats the document and sends it back to the terminal. The user reviews the document displayed on the terminal and makes corrections as needed.

[1157] Specific operation of the system

[1158] Example: Creating a press release for a new product

[1159] 1. The user enters information into the terminal.

[1160] For example, users input information such as "new product press release," "consumers, media," "new features, same-day delivery, first-time discount," and "formal" into their device.

[1161] 2. The emotion engine recognizes the user's emotions.

[1162] The system analyzes the user's input time and facial expression data during input to recognize when the user is excited.

[1163] 3. The server receives input data and sentiment data.

[1164] It receives and analyzes data and sentiment data transmitted from the device.

[1165] 4. The server sends data to the generating AI.

[1166] Send input data and emotion data to the generating artificial intelligence.

[1167] 5. Generative AI generates documents.

[1168] The AI ​​generator produces press release documents with a slightly more passionate tone based on the user's excitement. For example, it might generate content such as, "We are launching our new product, 'ABC'. ABC features exciting new functions and comes with same-day delivery and a first-time customer discount."

[1169] 6. The server receives the generated document.

[1170] The server receives the document generated by the AI.

[1171] 7. The server formats the generated document and sends it to the terminal.

[1172] The server formats the generated document and sends it to the terminal.

[1173] 8. Users review and edit documents.

[1174] The user reviews the document displayed on the device and makes corrections as needed.

[1175] This allows users to quickly and easily create high-quality external documents that reflect their own emotions.

[1176] Example of a prompt

[1177] For example, by entering prompts such as "Create a press release for a new product," "Target: Consumers, Media," "Key points: New features, Same-day delivery, First-time discount," and "Format: Formal," the AI ​​will generate an appropriate document.

[1178] This invention makes it easier to create documents that reflect the user's emotions, enabling the effective dissemination of content, especially in important corporate communications.

[1179] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1180] Step 1:

[1181] The user enters information into the terminal.

[1182] Specific operation: The user accesses an input form on the terminal and enters the document's purpose, target audience, key points, and desired format.

[1183] Input: Data entered by the user into the form on their device.

[1184] Output: Input data sent to the server (document purpose, target audience, key points, desired format).

[1185] Step 2:

[1186] The server analyzes the received input data and sends it to the emotion engine.

[1187] Specific operation: The server receives input data sent from the terminal and sends that data to the emotion engine.

[1188] Input: Input data sent from the terminal.

[1189] Output: Input data sent to the emotion engine.

[1190] Step 3:

[1191] The emotion engine analyzes user input and generates emotion data.

[1192] Specific operation: The emotion engine analyzes keyboard typing speed, input time, voice tone, facial expression data, etc., to recognize the user's emotions and generate data.

[1193] Input: Input data sent from the server.

[1194] Output: Sentiment data indicating the user's emotions.

[1195] Step 4:

[1196] The server receives emotion data from the emotion engine.

[1197] Specific operation: The server receives emotion data sent from the emotion engine.

[1198] Input: Emotional data sent from the emotion engine.

[1199] Output: Emotional data stored on the server.

[1200] Step 5:

[1201] The server sends input data and emotional data to the generating artificial intelligence.

[1202] Specific operation: The server converts the input data and sentiment data into the appropriate format and sends it to the generative AI. It constructs the data in JSON format and sends a request to the generative AI's API.

[1203] Input: Input data and sentiment data stored on the server.

[1204] Output: JSON formatted data sent to the generating AI.

[1205] Step 6:

[1206] The generative artificial intelligence generates the document.

[1207] Specific operation: The generative artificial intelligence generates documents based on the received input data and sentiment data, and adjusts the tone and style.

[1208] Input: JSON formatted data sent from the server.

[1209] Output: The generated document.

[1210] Step 7:

[1211] The server receives the generated document.

[1212] Specific operation: The server receives the generated document returned by the generation AI. The document is returned as an API response.

[1213] Input: The generated document returned by the generation AI.

[1214] Output: The generated document saved on the server.

[1215] Step 8:

[1216] The server formats the generated document and sends it to the terminal.

[1217] Specific operation: The server formats the received generated document, reshapes it as needed, and sends it to the user's terminal.

[1218] Input: Generated document stored on the server.

[1219] Output: The formatted document sent to the terminal.

[1220] Step 9:

[1221] Users review and edit documents.

[1222] Specific operation: The user reviews the generated document displayed on the terminal, makes corrections as needed, and completes the document.

[1223] Input: A formatted document sent to the terminal.

[1224] Output: Revised and completed document.

[1225] (Application Example 2)

[1226] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1227] In today's business environment, effective communication with customers is crucial. However, in real-time customer service at retail stores, it is difficult to accurately interpret customer emotions and provide optimal suggestions and responses based on them. Traditional methods rely on the skills and experience of the staff member handling the interaction, making it difficult to provide consistently high-quality service.

[1228] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving input data, means for analyzing the received input data with an emotion engine and transmitting the emotion data to a generating artificial intelligence, means for receiving documents generated by the generating artificial intelligence, and means for formatting the received generated documents and returning them to the terminal. This enables the real-time generation of documents based on customer emotions, allowing for appropriate and consistent customer service.

[1229] "Input data" refers to the information and data that users provide to the system. This includes text information, audio data, and even user sentiment data.

[1230] An "emotion engine" is software or an algorithm that analyzes user-provided input data to identify the user's emotional state. This allows for the extraction and analysis of the user's emotions from the input data.

[1231] "Generative artificial intelligence" refers to an algorithm or model that generates new documents based on input data and sentiment data. This includes generative AI models that automatically generate documents based on appropriate prompt sentences.

[1232] A "generated document" is a text document created by generative artificial intelligence, in which the required tone and style are adjusted based on sentiment data.

[1233] A "server" is a core computer system that processes data received from the user's terminal and emotional data analyzed by the emotion engine, and transmits it to the generating artificial intelligence. It works in conjunction with the user's terminal to perform a series of processes such as sending and receiving data and generating documents.

[1234] A "terminal" refers to a device that a user directly operates, and includes smartphones, tablets, and personal computers. Terminals are used for transmitting input data and for checking and modifying generated documents.

[1235] A "system containing" refers to an integrated set of hardware and software that encompasses specific functions or components. This clarifies the specific elements that the system in question possesses.

[1236] A "new product press release document" is an official document used to announce information about a new product and is released to consumers and the media.

[1237] "Customer support documents" are documents created to facilitate smooth communication with customers, and include product descriptions, service information, and troubleshooting responses.

[1238] This invention relates to a system in which a user inputs information necessary for document creation using a user's terminal, an emotion engine recognizes the user's emotions, and transmits that emotion information to a server, thereby generating an appropriate document using generative artificial intelligence. This system includes means for receiving input data, means for analyzing the received input data with the emotion engine and transmitting the emotion data to the generative artificial intelligence, means for receiving the document generated by the generative artificial intelligence, and means for formatting the received generated document and returning it to the terminal.

[1239] Program Processing Description

[1240] 1. User's terminal

[1241] Users use their devices (smartphones, tablets, personal computers, etc.) to input the information necessary for document creation. This includes the purpose, target audience, key points, and desired format.

[1242] It collects data by taking voice and text input.

[1243] 2. Emotional Engine

[1244] The emotion engine analyzes the input data sent from the device. The emotion engine uses speech analysis libraries (e.g., Google Cloud Speech-to-Text or IBM Watson) to identify emotions from the user's input data.

[1245] The emotion engine extracts the user's emotional data and sends that data to the server.

[1246] 3. Server

[1247] The server receives user input data and sentiment data and sends it to the generating artificial intelligence. The data is generally converted to JSON format.

[1248] A request is sent to the generation AI API, and the generation process is performed.

[1249] 4. Generative Artificial Intelligence

[1250] Generative artificial intelligence (e.g., OpenAI GPT-3) generates documents based on received input data and sentiment data. In this process, it adjusts the tone and style of the document based on the sentiment data.

[1251] 5. Server

[1252] It receives documents generated by artificial intelligence and formats them as needed, such as adjusting the format or changing the layout.

[1253] The formatted document is returned to the user's terminal.

[1254] 6. User's terminal

[1255] The generated document is displayed on the user's device, allowing the user to review it and make corrections as needed.

[1256] Specific example

[1257] For example, consider a scenario where a user is creating a press release for a new product. The user enters the following information on their device: "Purpose: Press release for a new product," "Target audience: Consumers, media," "Key points: New features, same-day delivery, first-time discount," and "Desired format: Formal." The entered information is analyzed by an emotion engine, which recognizes that the user is excited. This input data, including emotion data, is sent via a server to a generating artificial intelligence. The generating AI then generates a press release document based on this data, reflecting the excited tone. For example, it might generate a document stating, "We are launching our new product, 'ABC.' ABC features exciting new functions and comes with same-day delivery and a first-time discount."

[1258] Example of a prompt

[1259] "The customer is interested in the product and has asked questions. Based on their interest, please generate a proposal that includes the following information: new product features and benefits, and in-store perks."

[1260] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1261] Step 1:

[1262] The user's terminal provides an interface for inputting the information necessary for document creation. The user inputs information such as the document's purpose, target audience, key points, and desired formatting. The input data is used to generate text and sentiment data, which are then analyzed by the sentiment engine.

[1263] Step 2:

[1264] The device sends the input data to the emotion engine. The emotion engine analyzes the input data, as well as data such as the user's voice and facial expressions at the time of input, to identify the user's emotions. For example, it analyzes voice tone and input speed. As a result of the analysis, it obtains the user's emotion data.

[1265] Step 3:

[1266] The terminal sends sentiment data, analyzed by the sentiment engine, to the server. The input data at this time includes information necessary for document creation (purpose, target audience, key points, desired format, etc.) and sentiment data. The server converts this data into a specific format (e.g., JSON format) and processes it.

[1267] Step 4:

[1268] The server sends input data and sentiment data to the generating artificial intelligence. The generating AI then begins processing this data to generate a document. The generated document is then adjusted in tone and style based on the user's sentiment data.

[1269] Step 5:

[1270] Generative artificial intelligence generates new documents using input data and sentiment data. Based on generation prompts, documents are generated that match the user's intent and sentiment. For example, it might use the prompt: "The customer is interested in the product and has questions. Based on that interest, generate a suggestion document that includes the following information: new product features and benefits, and in-store offers."

[1271] Step 6:

[1272] The server receives documents generated by the artificial intelligence. The received documents undergo formatting processes such as adjusting the format and changing the layout. This makes the final document easy to read and organized.

[1273] Step 7:

[1274] The formatted generated document is sent back from the server to the user's terminal. The user's terminal displays the generated document for review. The user makes revisions to the document as needed to complete the final external document.

[1275] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1276] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1277] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[1278] [Fourth Embodiment]

[1279] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[1280] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1281] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1282] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[1283] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[1284] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[1285] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[1286] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[1287] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[1288] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1289] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1290] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[1291] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1292] This invention is a system that allows users to efficiently create documents for disseminating information outside the company, and the processing of the program is described in detail below.

[1293] System Configuration

[1294] This system basically consists of a user terminal, a server, and a generating artificial intelligence (AI). The user uses the terminal to input the information necessary for document creation, and the server transmits that information to the generating AI to generate the document.

[1295] Program processing

[1296] 1. The user enters information into the terminal.

[1297] The user enters necessary information such as the document's purpose, target audience, key points, and desired format into an input form on their device.

[1298] 2. The server receives the input data.

[1299] The server receives input data sent from the terminal. For example, an HTTP POST request might be used for this purpose.

[1300] 3. The server sends data to the generated artificial intelligence.

[1301] The server converts the received input data into an appropriate format (e.g., JSON) and sends it to the generation AI API.

[1302] 4. Generative artificial intelligence generates documents.

[1303] Generative artificial intelligence generates documents based on input data. For example, it can use natural language processing techniques to generate press release documents.

[1304] 5. The server receives the generated document.

[1305] The server receives a document generated by artificial intelligence. This document is customized based on the information entered by the user.

[1306] 6. The server formats the document and sends it to the terminal.

[1307] The server formats the generated document as needed and sends it back to the user's terminal. This is where the document formatting is adjusted.

[1308] 7. Users review and edit documents.

[1309] The user reviews the document displayed on their device and makes revisions as needed. This completes the final external document.

[1310] Specific example

[1311] Creating a press release for a new product

[1312] 1. The user enters the information into the terminal.

[1313] Enter the purpose (press release for a new product), target audience (consumers, media), key points (new features, same-day delivery, first-time customer discount), and format (formal).

[1314] 2. The server receives the input data.

[1315] It receives and analyzes data sent from the terminal.

[1316] 3. The server sends data to the generated artificial intelligence.

[1317] The data is converted to JSON format and sent to the artificial intelligence as an API request.

[1318] 4. Generative artificial intelligence generates documents.

[1319] The AI ​​generates press release documents. For example, it might generate content such as, "We are launching our new product, 'ABC'. ABC features new functions and is eligible for same-day delivery and a first-time purchase discount."

[1320] 5. The server receives the generated document.

[1321] The generated document is received as an API response.

[1322] 6. The server formats the document and sends it to the terminal.

[1323] Format the generated document and send it to the user's terminal.

[1324] 7. Users review and edit documents.

[1325] Review the document displayed on the terminal, make any necessary corrections, and then send the completed document outside the company.

[1326] In this way, a system is created that allows users to create high-quality documents quickly and easily.

[1327] The following describes the processing flow.

[1328] Step 1:

[1329] The user displays an input form. The user opens a dedicated application or web page on their device and displays an input form for submitting information.

[1330] Step 2:

[1331] The user enters the information. The user enters necessary information such as the document's purpose, target audience, key points, and desired format into the input form.

[1332] Step 3:

[1333] The user clicks the submit button. After completing the input, the user clicks the "Submit" button to send the data from their device to the server.

[1334] Step 4:

[1335] The terminal sends the input data to the server. The terminal sends the input data to the server in the form of an HTTP POST request or similar.

[1336] Step 5:

[1337] The server receives the request. The server receives the request sent from the terminal and parses the input data.

[1338] Step 6:

[1339] The server converts the data into a format that can be passed to the generating AI. The server analyzes the received input data and converts it into a format suitable for generating artificial intelligence (e.g., JSON format).

[1340] Step 7:

[1341] The server sends an API request to the generating AI. The server sends a request containing formatted data to the generating AI's API.

[1342] Step 8:

[1343] The generative AI generates documents. The generative AI generates documents based on the provided input data. For example, it can automatically generate detailed information about new products or press releases targeted at specific audiences.

[1344] Step 9:

[1345] The generation AI sends the generated document back to the server. The generation AI sends the completed document back to the server as an API response.

[1346] Step 10:

[1347] The server receives the generated document. The server receives the document returned from the generating AI and analyzes its contents.

[1348] Step 11:

[1349] The server formats the generated document. The server formats the received document according to the user's requirements and reshapes it as needed.

[1350] Step 12:

[1351] The server formats the document and sends it to the user's terminal. This is done, for example, using an HTTP response.

[1352] Step 13:

[1353] The terminal displays the document. The terminal visually displays the document received from the server to the user.

[1354] Step 14:

[1355] The user reviews the document. The user reviews the displayed document and makes corrections as needed.

[1356] Step 15:

[1357] The user completes the final document. The user finalizes the revised document as the final external document.

[1358] (Example 1)

[1359] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1360] Traditional document creation systems had the problem that users had to spend a great deal of time and effort creating documents from scratch. Furthermore, creating documents, especially for external use, required specialized knowledge and skills, making it difficult to quickly produce high-quality documents.

[1361] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[1362] In this invention, the server includes means for the user to input information necessary for document creation into a terminal, means for receiving input data transmitted from the terminal, and means for converting the received input data into an appropriate format and transmitting it to the generative artificial intelligence. This makes it possible for users to quickly create high-quality documents using generative artificial intelligence simply by inputting the information they need.

[1363] A "user" is someone who operates the system and inputs information for document creation.

[1364] A "terminal" is a device, such as a computer or smartphone, that a user uses to input information and communicate with a server.

[1365] A "server" is a central computer system that receives data sent from a user's terminal and communicates with a generating artificial intelligence to generate documents.

[1366] "Input data" refers to data that users enter into their terminals as information necessary for document creation, and includes the purpose, target audience, key points, and desired format.

[1367] "Means of receiving" refers to the functions and methods that a server uses to acquire data transmitted from a terminal.

[1368] "Generative artificial intelligence" is an artificial intelligence technology that automatically generates documents based on information entered by the user.

[1369] A "generated document" is a high-quality document created by a generative artificial intelligence and received by a server.

[1370] "Formatting means" refers to processing means for optimizing the generated document through formatting adjustments and other means before returning it to the user's terminal.

[1371] "Means of confirmation and modification" refers to the method of operation that allows the user to view the generated document displayed on the terminal and change its content as needed.

[1372] This invention is a system for efficiently creating documents for users to disseminate information outside the company. This system mainly consists of a user terminal, a server, and a generating artificial intelligence. The specific embodiments of the system will be described in detail below.

[1373] First, the user uses the terminal to input the information necessary for document creation. A dedicated input form is provided on the terminal, where the user enters necessary information such as purpose, target audience, key points, and desired format. For example, in the case of a press release for a new product, the user would enter information such as "Purpose: Press release for a new product," "Target audience: Consumers, media," "Key points: New features, same-day delivery, first-time discount," and "Desired format: Formal."

[1374] Next, the server receives the input data sent from the terminal. Here, the server receives the data via an HTTP POST request and immediately converts the received data into an appropriate format (e.g., JSON). This converted data is then sent to the generative artificial intelligence API.

[1375] Generative artificial intelligence generates documents based on received data. It utilizes natural language processing techniques (such as the latest generative AI model, GPT-4) to automatically create documents best suited to the user's input. For example, it might generate specific content like, "We are launching our new product, 'ABC'. ABC features new functions and offers same-day delivery and a first-time purchase discount."

[1376] Subsequently, the server receives the document generated by the AI. The received document is formatted on the server side, including formatting adjustments, and then sent back to the terminal as the final document. On the user's terminal, the formatted document is displayed in the browser.

[1377] Users can review the generated document displayed on their device and make corrections as needed. In this way, the final external document is completed, enabling users to create high-quality documents easily and quickly.

[1378] Example of a prompt

[1379] The following is an example of a prompt message used when generating a press release document for a new product.

[1380] Purpose: Press release for a new product

[1381] Target audience: Consumers, media

[1382] Key points: New features, same-day delivery, first-time customer discount

[1383] Desired format: Formal

[1384] In this way, the system automatically generates appropriate documents based on the information entered by the user, significantly improving both their quality and efficiency.

[1385] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1386] Program processing flow

[1387] Step 1:

[1388] The user enters the information necessary for document creation into the terminal.

[1389] Input: Document purpose, target audience, key points, desired format, etc.

[1390] Specific operation: The user opens a web browser on their device and accesses a dedicated input form. They enter information such as "Purpose: Press release for a new product," "Target audience: Consumers, media," "Key points: New features, same-day delivery, first-time discount," and "Desired format: Formal" into each field of the form.

[1391] Output: Input data

[1392] Step 2:

[1393] The server receives the input data.

[1394] Input: Data entered by the user on the device.

[1395] Specific operation: When the user clicks the "Submit" button in the input form, the device sends an HTTP POST request to the server. The server parses the received HTTP POST request and retrieves the input data.

[1396] Output: Input data stored in the server's memory.

[1397] Step 3:

[1398] The server converts the received input data into an appropriate format and sends it to the generating artificial intelligence.

[1399] Input: Input data stored in memory by the server.

[1400] Specific operation: The server converts the acquired input data into JSON format and sends the converted data as an HTTP POST request to the generated artificial intelligence API.

[1401] Output: JSON format data sent to the generating artificial intelligence.

[1402] Step 4:

[1403] Generative artificial intelligence generates documents based on input data.

[1404] Input: Input data in JSON format

[1405] Specific operation: The generative artificial intelligence initiates the document generation process based on the received data and uses natural language generation technology (e.g., GPT-4) to create a press release document. Specific documents such as "We are launching our new product 'ABC'. ABC features new functions and is eligible for same-day delivery and a first-time purchase discount." are generated.

[1406] Output: Generated document

[1407] Step 5:

[1408] The server receives documents generated by artificial intelligence.

[1409] Input: API response containing the generated document

[1410] Specific operation: The server receives the document generated as an API response from the generative artificial intelligence, parses (analyzes) the document content, and retrieves it.

[1411] Output: Generated documents stored in the server-side database or memory.

[1412] Step 6:

[1413] The server formats the generated document and sends it to the terminal.

[1414] Input: Generated document stored in memory by the server

[1415] Specific operation: The server formats the received generated document as needed, making adjustments to formatting such as font and paragraph alignment. The formatted document is then sent back to the user's terminal as an HTTP response.

[1416] Output: Formatted final document

[1417] Step 7:

[1418] The user reviews the generated document displayed on their device and makes corrections as needed.

[1419] Input: Formatted document displayed on the terminal

[1420] Specific operation: The user reviews the generated document displayed in the browser on their device and modifies the content and format as needed. Modifications are made using the editing tools available in the browser.

[1421] Output: Completed final document

[1422] In this way, through a series of steps, users can create high-quality documents quickly and efficiently.

[1423] (Application Example 1)

[1424] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1425] Traditional document creation systems required users to generate documents themselves and expend a significant amount of time and effort to distribute their content. This was particularly inefficient when dealing with multiple distribution channels (blogs, social media, etc.), as documents had to be manually formatted for each channel. Furthermore, creating high-quality documents was difficult for users without specialized knowledge, resulting in inconsistent content quality.

[1426] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[1427] In this invention, the server includes means for receiving input data, means for transmitting the received input data to a generating artificial intelligence, means for receiving documents generated by the generating artificial intelligence, means for formatting the generated documents and returning them to the terminal, and means for distributing the generated documents. This enables users to efficiently generate high-quality documents and distribute them appropriately to multiple distribution channels.

[1428] "Input data" refers to information about the content and conditions of the document being generated by the user. This includes the purpose, target audience, key points, and desired format.

[1429] "Generative artificial intelligence" refers to artificial intelligence technology that automatically generates documents based on input data. This includes models that use natural language processing technology.

[1430] A "generated document" refers to a document created by an artificial intelligence based on data entered by the user.

[1431] A "terminal" refers to a device used by the user, such as a computer, smartphone, or tablet. The generated document is displayed and can be edited.

[1432] "Distribution channel" refers to the medium or platform through which the generated document is distributed. This includes blogs, social media, and email newsletters.

[1433] A "server" refers to a computer system that performs tasks such as receiving input data, sending data to generating artificial intelligence, receiving generated documents, formatting documents, and returning them.

[1434] This invention describes a system that enables users to efficiently generate high-quality documents and distribute them to multiple distribution channels, and explains its specific implementation method. The system configuration and operation are described in detail below.

[1435] System Configuration

[1436] This system primarily consists of a user terminal, a server, and a generative artificial intelligence (AI). The user uses the terminal to input the information necessary for document creation, the server transmits that information to the AI ​​to generate the document, and finally distributes the generated document to the distribution channel.

[1437] Hardware and software to be used

[1438] Device: A device used by a user, such as a computer, smartphone, or tablet.

[1439] Server: A backend system built using Node.js, Express, and AWS Lambda.

[1440] Generative Artificial Intelligence: A generative AI model using OpenAI GPT-4.

[1441] Delivery channels: Firebase Cloud Messaging, REST API, etc.

[1442] Program Processing Description

[1443] 1. User input

[1444] The user enters information such as the document's purpose, target audience, key points, and desired format into an input form on their device. This sends the user's specific requirements to the server.

[1445] 2. Receiving and transmitting data by the server

[1446] Information sent from the device is received by a server built using Node.js and Express. The received data is converted to JSON format and sent to the OpenAI GPT-4 API via AWS Lambda.

[1447] 3. Document generation using artificial intelligence

[1448] Generative artificial intelligence (OpenAI GPT-4) generates documents based on the data it receives. Specifically, it uses natural language processing techniques to generate appropriate documents based on prompts that correspond to the input information.

[1449] 4. Receiving and formatting the generated document

[1450] The server receives the generated document from OpenAI GPT-4 and formats it as needed. The formatted document is then sent to the terminal for the user to review.

[1451] 5. User review and revision of documents

[1452] The user reviews the generated document displayed on the terminal and makes corrections as needed. At this stage, the user can check the quality of the final document and approve it.

[1453] 6. Distribution of generated documents

[1454] Once the documents have been corrected and verified, they will be appropriately distributed to distribution channels such as blogs and social media. Distribution will be carried out using Firebase Cloud Messaging or the REST API.

[1455] Specific example

[1456] For example, when creating an article introducing a new product, the user will enter the following information:

[1457] Purpose: To introduce new products

[1458] Target audience: Consumers, media

[1459] Key points: New features, same-day delivery, first-time customer discount

[1460] Format: Formal

[1461] A prompt message is generated based on this input information. An example of a prompt message is as follows:

[1462] "Purpose of the article: To introduce a new product"

[1463] "Target audience: Consumers, media"

[1464] "Key points: New features, same-day delivery, first-time customer discount"

[1465] Format: Formal

[1466] Based on this prompt, OpenAI GPT-4 creates a generated document such as, "We are launching our new product, 'XYZ'. XYZ features new functions and offers same-day delivery and a first-time purchase discount." The generated document is formatted on the server and sent back to the user's terminal. The document is then reviewed and ultimately distributed to blogs and social media.

[1467] Through the above process, users can efficiently generate high-quality documents and instantly distribute them to various distribution channels.

[1468] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1469] Step 1:

[1470] The user enters information for document generation (purpose, target audience, key points, desired format) into the terminal. The entered data is sent to the server as an HTTP POST request. Examples of entered data include new product introductions, consumer / media information, new features / same-day delivery / first-time discounts, and formality.

[1471] Step 2:

[1472] The server receives data sent by the user. The received data is converted to JSON format and then parsed. This parsing verifies that each item (purpose, target audience, key points, format) is correctly specified.

[1473] Step 3:

[1474] The server generates prompt text using the analyzed data. This prompt text is used as input data sent to the generating artificial intelligence. For example, it might take the form of: "Article Purpose: Introducing a new product," "Target Audience: Consumers, Media," "Key Points: New features, Same-day delivery, First-time discount," and "Format: Formal."

[1475] Step 4:

[1476] The server converts the generated prompt messages into JSON format and sends them to the API of the generated AI model. For example, Node.js or Express can be used to call the OpenAI GPT-4 API.

[1477] Step 5:

[1478] The generative artificial intelligence generates documents based on the received prompt text. The generated documents use natural language processing techniques to correspond to the input data. For example, a document such as "We are launching our new product 'XYZ'. XYZ features new functions and is eligible for same-day delivery and a first-time purchase discount" may be generated.

[1479] Step 6:

[1480] The server receives documents generated by the AI ​​model. The received documents are formatted appropriately based on the user's specified formatting. This formatting includes adjusting paragraphs and applying specific font styles.

[1481] Step 7:

[1482] The formatted document is sent back to the user's device for final review and revisions. The user reviews the document on their device and makes any necessary additional corrections.

[1483] Step 8:

[1484] The final, reviewed and corrected documents are distributed via the server to distribution channels such as blogs and social media. Firebase Cloud Messaging and REST APIs are used for this distribution.

[1485] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1486] This invention is a system for efficiently creating documents that users send to external parties, and in particular, by combining it with an emotion engine that recognizes the user's emotions, it enables the generation of documents with a more appropriate tone and style. The program processing of this system is described in detail below.

[1487] System Configuration

[1488] This system basically consists of a user terminal, a server, generative artificial intelligence (generative AI), and an emotion engine. The user uses the terminal to input the information necessary for document creation, the emotion engine recognizes the user's emotions and sends that emotion information to the server, and the generative AI generates the document based on that information.

[1489] Specific processing of the program

[1490] 1. The user enters information into the terminal.

[1491] The user enters information such as the document's purpose, target audience, key points, and desired format into an input form on their device.

[1492] 2. The emotion engine analyzes user input.

[1493] The emotion engine analyzes user input data or voice input to recognize the user's emotions. For example, it analyzes keyboard typing speed and voice tone.

[1494] 3. The server receives input data and sentiment data.

[1495] The server receives input data sent from the terminal and emotional data analyzed by the emotion engine.

[1496] 4. The server generates data and sends it to the artificial intelligence.

[1497] The server converts the input data and sentiment data into an appropriate format (e.g., JSON format) and sends it to the generative artificial intelligence API.

[1498] 5. Generative artificial intelligence generates documents.

[1499] The generative artificial intelligence generates documents based on input data and sentiment data. It adjusts the tone and style of the document based on the sentiment data.

[1500] 6. The server receives the generated document.

[1501] The server receives a document generated by the AI. This document is customized based on data from the emotion engine.

[1502] 7. The server formats the generated document and sends it to the terminal.

[1503] The server formats the generated document, reshapes it as needed, and sends it to the user's terminal.

[1504] 8. Users review and edit documents.

[1505] The user reviews the document displayed on their device and makes revisions as needed. This completes the final external document.

[1506] Specific example

[1507] Creating a press release for a new product

[1508] 1. The user enters the information into the terminal.

[1509] Enter the purpose (press release for a new product), target audience (consumers, media), key points (new features, same-day delivery, first-time customer discount), and format (formal).

[1510] 2. The emotion engine recognizes the user's emotions.

[1511] The emotion engine analyzes the user's input time and facial expression data during input, recognizing when the user is excited.

[1512] 3. The server receives input data and sentiment data.

[1513] It receives and analyzes data and sentiment data transmitted from the device.

[1514] 4. The server sends data to the generated artificial intelligence.

[1515] The data is converted to JSON format and sent to the artificial intelligence as an API request.

[1516] 5. Generative artificial intelligence generates documents.

[1517] The AI ​​generator produces press release documents with a slightly more passionate tone based on the user's excitement. For example, it might generate content such as, "We are launching our new product, 'ABC'. ABC features exciting new functions and comes with same-day delivery and a first-time customer discount."

[1518] 6. The server receives the generated document.

[1519] The generated document is received as an API response.

[1520] 7. The server formats the document and sends it to the terminal.

[1521] Format the document and send it to the user's device.

[1522] 8. Users review and edit documents.

[1523] Review the document displayed on the terminal, make any necessary corrections, and then send the completed document outside the company.

[1524] In this way, users can quickly and easily create high-quality external documents that reflect their own emotions.

[1525] The following describes the processing flow.

[1526] Step 1:

[1527] The user displays an input form. The user opens a dedicated application or web page on their device and displays an input form for submitting information.

[1528] Step 2:

[1529] The user enters the information. The user enters necessary information such as the document's purpose, target audience, key points, and desired format into the input form.

[1530] Step 3:

[1531] After the user completes their input, the emotion engine analyzes the user's emotions. The emotion engine analyzes the user's facial expressions and voice tone in real time during input to obtain the user's emotional data.

[1532] Step 4:

[1533] The terminal sends input data and sentiment data to the server. The terminal sends the input information and sentiment data generated by the sentiment engine to the server in the form of an HTTP POST request or similar.

[1534] Step 5:

[1535] The server receives the request. The server receives the data sent from the terminal and analyzes the input data and sentiment data.

[1536] Step 6:

[1537] The server converts the data into a format that can be passed to the generating AI. The server analyzes the received input data and sentiment data and converts it into a format suitable for generating artificial intelligence (e.g., JSON format).

[1538] Step 7:

[1539] The server sends an API request to the generative AI. The server sends a request to the generative AI's API that includes formatted input data and sentiment data.

[1540] Step 8:

[1541] The generative AI generates the document. The generative AI generates the document based on the provided input data and sentiment data. For example, if the user is excited, the tone of the document will be adjusted to be more passionate.

[1542] Step 9:

[1543] The generation AI sends the generated document back to the server. The generation AI sends the completed document back to the server as an API response.

[1544] Step 10:

[1545] The server receives the generated document. The server receives the document returned from the generating AI and analyzes its contents.

[1546] Step 11:

[1547] The server formats the generated document. The server formats the received document based on the user's requirements and reshapes it as needed.

[1548] Step 12:

[1549] The server formats the document and sends it to the user's terminal. This is done, for example, using an HTTP response.

[1550] Step 13:

[1551] The terminal displays the document. The terminal visually displays the document received from the server to the user.

[1552] Step 14:

[1553] The user reviews the document. The user reviews the displayed document and makes corrections as needed.

[1554] Step 15:

[1555] The user completes the final document. The user finalizes the revised document as the final external document.

[1556] (Example 2)

[1557] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1558] Conventional document creation systems generate documents without considering the user's emotions, resulting in a problem where the tone and style of the document do not reflect the user's intentions or state of mind. This creates a challenge in expressing emotions appropriately, especially in documents where emotions are a crucial element.

[1559] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[1560] In this invention, the server includes means for receiving input data, means for analyzing the received input data to generate emotion data, means for transmitting the received input data and emotion data to a generating artificial intelligence, means for receiving documents generated by the generating artificial intelligence, and means for formatting the received generated document and returning it to the terminal. This makes it possible to generate documents that reflect the user's emotions.

[1561] "Input data" refers to the information necessary for document creation that the user enters via their device. This includes the document's purpose, target audience, key points, and desired format.

[1562] "Emotional data" refers to information indicating the user's emotional state, obtained by the emotion engine through analysis of the user's input data and behavior.

[1563] "Generative artificial intelligence" refers to artificial intelligence models that generate documents based on input data and sentiment data.

[1564] "Generated documents" refer to documents generated by artificial intelligence, and may reflect the user's emotions.

[1565] "Formatting" refers to the process of adjusting the format and layout of a generated document to an appropriate form.

[1566] A "terminal" refers to hardware used by users to input data and to review and modify generated documents.

[1567] This invention relates to a system for efficiently creating documents that users will use to disseminate information outside the company. In particular, by combining it with an emotion engine that recognizes the user's emotions, it becomes possible to generate documents with a more appropriate tone and style. The system configuration includes a user terminal, a server, generative artificial intelligence (generative AI), and an emotion engine.

[1568] System Configuration

[1569] The system consists of the following hardware and software:

[1570] Terminal: Hardware used by users to input data and to review and modify generated documents. Generally, personal computers or smartphones are used.

[1571] Server: Hardware for managing the reception and transmission of data, as well as the generation of sentiment data and document generation.

[1572] Emotion engine: Software that analyzes user input data and behavior to generate emotion data.

[1573] Generative AI: An artificial intelligence model that generates documents based on input data and sentiment data.

[1574] Program processing

[1575] The server stores the input data sent by the user in a database and simultaneously sends it to the emotion engine to generate the user's emotion data. The emotion engine analyzes keyboard typing speed, input time, voice tone, facial expression data, etc., to recognize emotions. This emotion data is then sent back to the server.

[1576] The server sends the received input data and sentiment data to a generative AI model. The generative AI model generates a document with adjusted tone and style based on this data. This generated document is sent to the server, which formats the document and sends it back to the terminal. The user reviews the document displayed on the terminal and makes corrections as needed.

[1577] Specific operation of the system

[1578] Example: Creating a press release for a new product

[1579] 1. The user enters information into the terminal.

[1580] For example, users input information such as "new product press release," "consumers, media," "new features, same-day delivery, first-time discount," and "formal" into their device.

[1581] 2. The emotion engine recognizes the user's emotions.

[1582] The system analyzes the user's input time and facial expression data during input to recognize when the user is excited.

[1583] 3. The server receives input data and sentiment data.

[1584] It receives and analyzes data and sentiment data transmitted from the device.

[1585] 4. The server sends data to the generating AI.

[1586] Send input data and emotion data to the generating artificial intelligence.

[1587] 5. Generative AI generates documents.

[1588] The AI ​​generator produces press release documents with a slightly more passionate tone based on the user's excitement. For example, it might generate content such as, "We are launching our new product, 'ABC'. ABC features exciting new functions and comes with same-day delivery and a first-time customer discount."

[1589] 6. The server receives the generated document.

[1590] The server receives the document generated by the AI.

[1591] 7. The server formats the generated document and sends it to the terminal.

[1592] The server formats the generated document and sends it to the terminal.

[1593] 8. Users review and edit documents.

[1594] The user reviews the document displayed on the device and makes corrections as needed.

[1595] This allows users to quickly and easily create high-quality external documents that reflect their own emotions.

[1596] Example of a prompt

[1597] For example, by entering prompts such as "Create a press release for a new product," "Target: Consumers, Media," "Key points: New features, Same-day delivery, First-time discount," and "Format: Formal," the AI ​​will generate an appropriate document.

[1598] This invention makes it easier to create documents that reflect the user's emotions, enabling the effective dissemination of content, especially in important corporate communications.

[1599] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1600] Step 1:

[1601] The user enters information into the terminal.

[1602] Specific operation: The user accesses an input form on the terminal and enters the document's purpose, target audience, key points, and desired format.

[1603] Input: Data entered by the user into the form on their device.

[1604] Output: Input data sent to the server (document purpose, target audience, key points, desired format).

[1605] Step 2:

[1606] The server analyzes the received input data and sends it to the emotion engine.

[1607] Specific operation: The server receives input data sent from the terminal and sends that data to the emotion engine.

[1608] Input: Input data sent from the terminal.

[1609] Output: Input data sent to the emotion engine.

[1610] Step 3:

[1611] The emotion engine analyzes user input and generates emotion data.

[1612] Specific operation: The emotion engine analyzes keyboard typing speed, input time, voice tone, facial expression data, etc., to recognize the user's emotions and generate data.

[1613] Input: Input data sent from the server.

[1614] Output: Sentiment data indicating the user's emotions.

[1615] Step 4:

[1616] The server receives emotion data from the emotion engine.

[1617] Specific operation: The server receives emotion data sent from the emotion engine.

[1618] Input: Emotional data sent from the emotion engine.

[1619] Output: Emotional data stored on the server.

[1620] Step 5:

[1621] The server sends input data and emotional data to the generating artificial intelligence.

[1622] Specific operation: The server converts the input data and sentiment data into the appropriate format and sends it to the generative AI. It constructs the data in JSON format and sends a request to the generative AI's API.

[1623] Input: Input data and sentiment data stored on the server.

[1624] Output: JSON formatted data sent to the generating AI.

[1625] Step 6:

[1626] The generative artificial intelligence generates the document.

[1627] Specific operation: The generative artificial intelligence generates documents based on the received input data and sentiment data, and adjusts the tone and style.

[1628] Input: JSON formatted data sent from the server.

[1629] Output: The generated document.

[1630] Step 7:

[1631] The server receives the generated document.

[1632] Specific operation: The server receives the generated document returned by the generation AI. The document is returned as an API response.

[1633] Input: The generated document returned by the generation AI.

[1634] Output: The generated document saved on the server.

[1635] Step 8:

[1636] The server formats the generated document and sends it to the terminal.

[1637] Specific operation: The server formats the received generated document, reshapes it as needed, and sends it to the user's terminal.

[1638] Input: Generated document stored on the server.

[1639] Output: The formatted document sent to the terminal.

[1640] Step 9:

[1641] Users review and edit documents.

[1642] Specific operation: The user reviews the generated document displayed on the terminal, makes corrections as needed, and completes the document.

[1643] Input: A formatted document sent to the terminal.

[1644] Output: Revised and completed document.

[1645] (Application Example 2)

[1646] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1647] In today's business environment, effective communication with customers is crucial. However, in real-time customer service at retail stores, it is difficult to accurately interpret customer emotions and provide optimal suggestions and responses based on them. Traditional methods rely on the skills and experience of the staff member handling the interaction, making it difficult to provide consistently high-quality service.

[1648] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving input data, means for analyzing the received input data with an emotion engine and transmitting the emotion data to a generating artificial intelligence, means for receiving documents generated by the generating artificial intelligence, and means for formatting the received generated documents and returning them to the terminal. This enables the real-time generation of documents based on customer emotions, allowing for appropriate and consistent customer service.

[1649] "Input data" refers to the information and data that users provide to the system. This includes text information, audio data, and even user sentiment data.

[1650] An "emotion engine" is software or an algorithm that analyzes user-provided input data to identify the user's emotional state. This allows for the extraction and analysis of the user's emotions from the input data.

[1651] "Generative artificial intelligence" refers to an algorithm or model that generates new documents based on input data and sentiment data. This includes generative AI models that automatically generate documents based on appropriate prompt sentences.

[1652] A "generated document" is a text document created by generative artificial intelligence, in which the required tone and style are adjusted based on sentiment data.

[1653] A "server" is a core computer system that processes data received from the user's terminal and emotional data analyzed by the emotion engine, and transmits it to the generating artificial intelligence. It works in conjunction with the user's terminal to perform a series of processes such as sending and receiving data and generating documents.

[1654] A "terminal" refers to a device that a user directly operates, and includes smartphones, tablets, and personal computers. Terminals are used for transmitting input data and for checking and modifying generated documents.

[1655] A "system containing" refers to an integrated set of hardware and software that encompasses specific functions or components. This clarifies the specific elements that the system in question possesses.

[1656] A "new product press release document" is an official document used to announce information about a new product and is released to consumers and the media.

[1657] "Customer support documents" are documents created to facilitate smooth communication with customers, and include product descriptions, service information, and troubleshooting responses.

[1658] This invention relates to a system in which a user inputs information necessary for document creation using a user's terminal, an emotion engine recognizes the user's emotions, and transmits that emotion information to a server, thereby generating an appropriate document using generative artificial intelligence. This system includes means for receiving input data, means for analyzing the received input data with the emotion engine and transmitting the emotion data to the generative artificial intelligence, means for receiving the document generated by the generative artificial intelligence, and means for formatting the received generated document and returning it to the terminal.

[1659] Program Processing Description

[1660] 1. User's terminal

[1661] Users use their devices (smartphones, tablets, personal computers, etc.) to input the information necessary for document creation. This includes the purpose, target audience, key points, and desired format.

[1662] It collects data by taking voice and text input.

[1663] 2. Emotional Engine

[1664] The emotion engine analyzes the input data sent from the device. The emotion engine uses speech analysis libraries (e.g., Google Cloud Speech-to-Text or IBM Watson) to identify emotions from the user's input data.

[1665] The emotion engine extracts the user's emotional data and sends that data to the server.

[1666] 3. Server

[1667] The server receives user input data and sentiment data and sends it to the generating artificial intelligence. The data is generally converted to JSON format.

[1668] A request is sent to the generation AI API, and the generation process is performed.

[1669] 4. Generative Artificial Intelligence

[1670] Generative artificial intelligence (e.g., OpenAI GPT-3) generates documents based on received input data and sentiment data. In this process, it adjusts the tone and style of the document based on the sentiment data.

[1671] 5. Server

[1672] It receives documents generated by artificial intelligence and formats them as needed, such as adjusting the format or changing the layout.

[1673] The formatted document is returned to the user's terminal.

[1674] 6. User's terminal

[1675] The generated document is displayed on the user's device, allowing the user to review it and make corrections as needed.

[1676] Specific example

[1677] For example, consider a scenario where a user is creating a press release for a new product. The user enters the following information on their device: "Purpose: Press release for a new product," "Target audience: Consumers, media," "Key points: New features, same-day delivery, first-time discount," and "Desired format: Formal." The entered information is analyzed by an emotion engine, which recognizes that the user is excited. This input data, including emotion data, is sent via a server to a generating artificial intelligence. The generating AI then generates a press release document based on this data, reflecting the excited tone. For example, it might generate a document stating, "We are launching our new product, 'ABC.' ABC features exciting new functions and comes with same-day delivery and a first-time discount."

[1678] Example of a prompt

[1679] "The customer is interested in the product and has asked questions. Based on their interest, please generate a proposal that includes the following information: new product features and benefits, and in-store perks."

[1680] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1681] Step 1:

[1682] The user's terminal provides an interface for inputting the information necessary for document creation. The user inputs information such as the document's purpose, target audience, key points, and desired formatting. The input data is used to generate text and sentiment data, which are then analyzed by the sentiment engine.

[1683] Step 2:

[1684] The device sends the input data to the emotion engine. The emotion engine analyzes the input data, as well as data such as the user's voice and facial expressions at the time of input, to identify the user's emotions. For example, it analyzes voice tone and input speed. As a result of the analysis, it obtains the user's emotion data.

[1685] Step 3:

[1686] The terminal sends sentiment data, analyzed by the sentiment engine, to the server. The input data at this time includes information necessary for document creation (purpose, target audience, key points, desired format, etc.) and sentiment data. The server converts this data into a specific format (e.g., JSON format) and processes it.

[1687] Step 4:

[1688] The server sends input data and sentiment data to the generating artificial intelligence. The generating AI then begins processing this data to generate a document. The generated document is then adjusted in tone and style based on the user's sentiment data.

[1689] Step 5:

[1690] Generative artificial intelligence generates new documents using input data and sentiment data. Based on generation prompts, documents are generated that match the user's intent and sentiment. For example, it might use the prompt: "The customer is interested in the product and has questions. Based on that interest, generate a suggestion document that includes the following information: new product features and benefits, and in-store offers."

[1691] Step 6:

[1692] The server receives documents generated by the artificial intelligence. The received documents undergo formatting processes such as adjusting the format and changing the layout. This makes the final document easy to read and organized.

[1693] Step 7:

[1694] The formatted generated document is sent back from the server to the user's terminal. The user's terminal displays the generated document for review. The user makes revisions to the document as needed to complete the final external document.

[1695] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1696] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1697] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[1698] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1699] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[1700] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[1701] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[1702] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[1703] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[1704] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[1705] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[1706] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[1707] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[1708] 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.

[1709] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[1710] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[1711] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[1712] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[1713] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[1714] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[1715] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference.

[1716] The following is further disclosed regarding the embodiments described above.

[1717] (Claim 1)

[1718] A means for receiving input data,

[1719] A means for transmitting received input data to a generating artificial intelligence,

[1720] A means for receiving documents generated by artificial intelligence,

[1721] A means of formatting the received generated document and sending it back to the terminal,

[1722] A system that includes this.

[1723] (Claim 2)

[1724] The document generated by the AI ​​will be used as the press release document for the new product.

[1725] The system according to claim 1.

[1726] (Claim 3)

[1727] The input data to be sent to the generating AI is divided into purpose, target audience, key points, and desired format before being sent.

[1728] The system according to claim 1.

[1729] "Example 1"

[1730] (Claim 1)

[1731] A means for the user to input the information necessary for document creation into the terminal,

[1732] A means by which the server receives input data sent from the terminal,

[1733] A means for converting received input data into an appropriate format and transmitting it to a generating artificial intelligence,

[1734] A means by which a generative artificial intelligence generates a document based on input data,

[1735] A means for a server to receive documents generated by a generative artificial intelligence,

[1736] A means of formatting the received generated document and sending it back to the terminal,

[1737] A means for the user to review and modify the generated document displayed on the device,

[1738] A system that includes this.

[1739] (Claim 2)

[1740] The system according to claim 1, wherein the document generated by the generating artificial intelligence is used as a press release document for a new product.

[1741] (Claim 3)

[1742] The system according to claim 1, which divides and transmits input data to be sent to a generating artificial intelligence into purpose, target audience, key points, and desired format.

[1743] "Application Example 1"

[1744] (Claim 1)

[1745] A means for receiving input data,

[1746] A means for transmitting received input data to a generating artificial intelligence,

[1747] A means for receiving documents generated by artificial intelligence,

[1748] A means of formatting the received generated document and sending it back to the terminal,

[1749] Means for distributing generated documents,

[1750] A system that includes this.

[1751] (Claim 2)

[1752] The system according to claim 1, wherein the document generated by the artificial intelligence is used as an introduction document for a new product, and the generated document is distributed to multiple distribution channels such as blogs and social media.

[1753] (Claim 3)

[1754] The system according to claim 1, which divides and transmits input data to be sent to a generating artificial intelligence into purpose, target audience, key points, and desired format.

[1755] "Example 2 of combining an emotion engine"

[1756] (Claim 1)

[1757] A means for receiving input data,

[1758] A means of analyzing received input data to generate sentiment data,

[1759] A means for transmitting received input data and emotion data to a generating artificial intelligence,

[1760] A means for receiving documents generated by artificial intelligence,

[1761] A means of formatting the received generated document and sending it back to the terminal,

[1762] A system that includes this.

[1763] (Claim 2)

[1764] The system according to claim 1, which adjusts documents generated by a generative artificial intelligence to a specific tone and style.

[1765] (Claim 3)

[1766] The system according to claim 1, which divides and transmits input data to be sent to a generating artificial intelligence into purpose, target audience, key points, desired format, and sentiment data.

[1767] "Application example 2 when combining with an emotional engine"

[1768] (Claim 1)

[1769] A means for receiving input data,

[1770] A means for analyzing received input data with an emotion engine and transmitting that emotion data to a generating artificial intelligence,

[1771] A means for receiving documents generated by artificial intelligence,

[1772] A means of formatting the received generated document and sending it back to the terminal,

[1773] A system that includes this.

[1774] (Claim 2)

[1775] The system according to claim 1, wherein the documents generated by the artificial intelligence are used as press release documents for new products or customer service documents for use in stores.

[1776] (Claim 3)

[1777] The system according to claim 1, which divides and transmits input data to be sent to a generating artificial intelligence into purpose, target audience, key points, desired format, and analyzed sentiment data. [Explanation of Symbols]

[1778] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for receiving input data, A means for transmitting received input data to a generating artificial intelligence, A means for receiving documents generated by artificial intelligence, A means of formatting the received generated document and sending it back to the terminal, A system that includes this.

2. The document generated by the AI ​​will be used as the press release document for the new product. The system according to claim 1.

3. The input data to be sent to the generating AI is divided into purpose, target audience, key points, and desired format before being sent. The system according to claim 1.

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