system

Abstract

We provide the system. [Solution] A data processing device for analyzing the contents of the generated document, An analytical means for comparing documents with databases of existing copyrighted works, A warning means for generating a warning for the location where a collision is detected, A means for generating alternative expressions, A notification method for providing relevant information to the user, 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, the method including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance that responds 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] It is to reduce the risk of inadvertently infringing the copyright of a third party in a generated document, particularly a novel. In an increasing content production environment, there is a lack of means to safely publish works while avoiding copyright infringement, which is the problem.

Means for Solving the Problems

[0005] The present invention provides a data processing device that analyzes a generated document in detail and detects similarity with existing works. The device embodies a system that reduces the risk of copyright infringement by warning of detected conflicts, automatically generating alternative expressions, and notifying the user. Furthermore, the user can confirm safety by correcting the document using the presented alternatives and re-evaluating.

[0006] A "data processing device" is a device designed for inputting and analyzing documents, and it performs specific data manipulations through a program.

[0007] "Analysis means" refers to a mechanism for comparing a generated document with an existing copyrighted work to detect similarities or matches.

[0008] A "warning mechanism" is a function that informs users of potentially copyrighted material infringements.

[0009] A "means for generating alternative solutions" is a mechanism for automatically creating acceptable alternative expressions for detected problematic sections.

[0010] "Notification means" refers to methods or devices for providing users with information on analysis results and alternative solutions.

[0011] A "re-checking procedure" is a process for re-evaluating the revised document and conducting a final verification. [Brief explanation of the drawing]

[0012] [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]It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It 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] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It 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 the data processing system in Application Example 2 when an emotion engine is combined.

Mode for Carrying Out the Invention

[0013] 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.

[0014] First, the language used in the following description will be explained.

[0015] In the following embodiments, the labeled 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.

[0016] In the following embodiments, the labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0017] In the following embodiments, the labeled 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.

[0018] In the following embodiments, the labeled communication I / F (Interface) is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), etc.

[0019] 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."

[0020] [First Embodiment]

[0021] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0022] 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.

[0023] 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).

[0024] 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.

[0025] 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.

[0026] 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.

[0027] 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.

[0028] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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".

[0033] This invention relates to a system for reducing the risk of copyright infringement of generated documents, and the system primarily operates around a data processing device. Specific examples are shown below.

[0034] The user initiates the analysis process by inputting a document they have written from their terminal. The terminal sends this document data to the server. The server receives the data and uses its internal data processing equipment to perform an analysis to compare the document with an existing copyright database. This evaluates how similar the text in the document is to other copyrighted works.

[0035] If similarity is detected, the server will notify the user using a warning mechanism. This notification will indicate which parts of the document pose a risk of copyright infringement. Furthermore, the server will use an alternative generation mechanism to automatically generate alternative expressions for the problematic expressions.

[0036] Users can review these notifications and suggested alternatives on their devices and revise their documents as needed. In addition, users can resubmit the revised document to the server for further checks. At this stage, the server re-evaluates the document to verify that the revisions were made correctly. If the issues are resolved, users can then safely prepare to publish their documents.

[0037] For example, if a user mistakenly uses the name of a famous character in a novel, the server will issue a warning notification and suggest alternative names to support the user in correcting the mistake. In this way, the present invention provides a practical solution that allows users to continue creating with peace of mind.

[0038] The following describes the processing flow.

[0039] Step 1:

[0040] The user inputs a document they have written themselves into the terminal. Once input is complete, the terminal prepares to send the data to the server.

[0041] Step 2:

[0042] The terminal sends document data to the server. The data is securely transferred to the server.

[0043] Step 3:

[0044] The server provides the received document data to the analysis means. The analysis means compares the document text with an existing copyright database and evaluates the similarity.

[0045] Step 4:

[0046] Based on the analysis results, the server identifies portions of the document that are suspected of copyright infringement. For the identified portions, it then compiles risk information.

[0047] Step 5:

[0048] The server sends a notification to the user via a warning system, informing them of the risk of intrusion. This notification includes specific locations and details so that the user can identify the problematic areas.

[0049] Step 6:

[0050] The server uses an alternative solution generation mechanism to automatically generate proposed corrections for the identified issues. The generated alternative solutions are also notified to the user.

[0051] Step 7:

[0052] The user reviews the notification content and alternative suggestions via their device and revises the document based on their own judgment. They then save the revised document and prepare to resubmit it to the server.

[0053] Step 8:

[0054] The terminal resends the corrected document to the server. This is a process to verify that the changes have been correctly reflected.

[0055] Step 9:

[0056] The server re-analyzes the corrected document to confirm that the risk of copyright infringement has been eliminated. If all issues are resolved, the user is notified that there are no problems.

[0057] Step 10:

[0058] Users can check notifications from the server and begin the process of securely publishing their documents. This allows users to engage in creative activities with greater peace of mind.

[0059] (Example 1)

[0060] 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."

[0061] With the proliferation of digital content, unintentional similarities between original documents and existing copyrighted works are becoming more frequent. In such cases, the risk of copyright infringement increases, potentially causing problems with the publication or distribution of documents. Therefore, it is necessary to efficiently manage copyright risks during the document creation process and ensure the safe publication of documents.

[0062] 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.

[0063] In this invention, the server includes an information processing device means for analyzing data, an analysis means for comparing document data with an existing information collection, and a warning means for identifying conflicts and generating warnings. This allows users to immediately identify potential copyright issues while creating documents and quickly make necessary corrections.

[0064] An "information processing device for data analysis" is a computer system that processes input data and extracts or evaluates specific information.

[0065] "Analysis means" refers to software or hardware functions that compare document data with existing information sets to clarify their similarities and differences.

[0066] A "warning mechanism" is a notification system designed to inform users of potential problems or risks.

[0067] "Alternatives" refers to a function that generates new suggestions for replacing problematic expressions with other expressions.

[0068] "Transmission means" refers to a means of communication or an interface for providing processed information to a user.

[0069] "Processing means" refers to system functions for receiving, re-evaluating, and performing necessary processing on data.

[0070] This invention is an information processing system that manages the copyright risks of user-created documents and supports their secure publication. The system primarily functions by combining a server and terminals.

[0071] Users input documents using a terminal. This information is typically created using a text editor or word processing software. The terminal is responsible for sending the entered document data to the server. Data transmission is secure using the HTTP protocol and encrypted with SSL / TLS.

[0072] The server analyzes the received document data. This involves the use of information processing equipment, including document analysis software and similarity assessment algorithms. Specifically, algorithms using SimHash and Jaccard coefficients compare the document with existing information sets. If the analysis determines there is a copyright risk, the server uses warning mechanisms to send a notification to the user. The notification outlines recommended changes and is provided via email or in-app message.

[0073] Furthermore, the server uses alternative methods to generate suggestions for replacing the content with safer expressions. This process is carried out using a generative AI model. An example of a specific prompt might be, "Please check if a particular expression in this text is copyright-infringing and suggest a safe alternative."

[0074] Users can revise their documents based on this information and resubmit them from their devices for re-evaluation. The server rechecks the revised documents to ensure that risks are properly managed. If there are no problems, the user is then ready to safely publish the document.

[0075] Thus, this system provides a practical means for users to effectively manage copyright-related risks while engaging in creative activities with peace of mind.

[0076] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0077] Step 1:

[0078] The user inputs the document using a terminal. They use a text editor or word processing software to write the necessary content. The entered document data is saved digitally for later processing. The output is the prepared document data.

[0079] Step 2:

[0080] The terminal sends document data entered by the user to the server. The input here is document data stored on the terminal, while the output is digital data securely transferred to the server. This data transfer uses the HTTP protocol and SSL / TLS encryption.

[0081] Step 3:

[0082] The server analyzes the received document data. Here, an information processing device and analysis means are driven to perform the data analysis. The input is the document data stored on the server, and the output is the similarity evaluation result of the information extracted from the document data. This result is calculated using algorithms such as SimHash and Jaccard coefficients.

[0083] Step 4:

[0084] The server generates a warning based on the evaluation results. The input is the similarity evaluation result, and the output is a notification message containing the warning. The server sends a notification to the user via email or in-app message to inform them about the identified problem areas.

[0085] Step 5:

[0086] The server generates alternatives for the problematic areas. In this step, a generative AI model is used to generate correction suggestions based on the specified prompt sentences. The input is the text of the identified problematic areas, and the output is a list of safe alternatives.

[0087] Step 6:

[0088] The user uses their terminal to review notifications and alternatives from the server and revise the document. Here, they manually revise the document, referring to the sections indicated in the warnings. The revised document data is saved as output.

[0089] Step 7:

[0090] The user resubmits the revised document from their terminal to the server for re-evaluation. The input is the document data revised by the user, and the output is the digital data that has been transferred back to the server.

[0091] Step 8:

[0092] The server analyzes and re-evaluates the resubmitted document. The input to this process is the modified document data, and the output is the result of the final copyright risk assessment. If the risks are properly managed, the final assessment is notified to the user.

[0093] Through this process, users can create and publish documents safely while managing copyright risks.

[0094] (Application Example 1)

[0095] 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."

[0096] The challenge lies in reducing the risk of copyright infringement caused by content creators unknowingly using similar expressions to existing works, and in providing an environment where content can be safely published. In particular, rapid correction and re-evaluation are required in content distribution services.

[0097] 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.

[0098] In this invention, the server includes an information processing device for analyzing the content of generated information, an analysis means for comparing the information with a database of existing intellectual property, a notification means for generating notifications for sections where similarity is detected, a draft generation means for generating alternative text, a display means for providing the relevant information to the user, and a communication means for executing the above functions on a cloud environment. This enables content creators to create and publish content safely and efficiently while avoiding copyright infringement.

[0099] An "information processing device" is a computer device used to analyze the content of generated information and compare it with other information.

[0100] "Information" refers to documents and content created by users, and is the data that is subject to analysis.

[0101] An "intellectual property database" is a database system that stores existing copyrighted works and patent information, and is used for searching and comparing them.

[0102] An "analysis tool" is a system that has the function of comparing information and intellectual property databases and evaluating their similarity.

[0103] A "notification method" refers to a communication function used to send warnings and information to users based on analysis results.

[0104] A "proposal generation method" is a function that generates alternative expressions or content for sections where similarity is detected.

[0105] A "display means" is an interface that provides users with analysis results and alternative solutions visually.

[0106] "Communication means" refers to network functions that send and receive information on a cloud environment and link various functions together.

[0107] Modes for carrying out the invention

[0108] This invention is a system that allows content creators to reduce the risk of copyright infringement and safely publish their content. The server operates in the following manner:

[0109] First, the user creates content and inputs it from their device. The device then transfers this information to a server in a cloud environment. The server uses an information processing device to analyze the transmitted information. Specifically, it uses analysis tools to compare the information with a database of intellectual property and evaluate its similarity.

[0110] If similarity is detected, the server sends a warning to the user via a notification system. Additionally, a suggestion generation system generates alternative suggestions for the similar sections, which are then presented to the user via a display system. This allows the user to safely re-enter the corrected information and receive final evaluation.

[0111] This system enables rapid response because all processes are linked via cloud communication. On the client side, common devices (e.g., smartphones, tablets, PCs) can be used, while on the server side, cloud services such as Amazon Web Services (AWS®) and Google® Cloud are utilized.

[0112] As a concrete example, suppose a user unknowingly quotes a portion of a popular book while creating a blog post. In this case, the system will identify the passage and suggest an alternative expression, saying, "This section is similar to another work. How about using the following expression?"

[0113] Examples of prompts for generative AI models:

[0114] "Identify documents similar to the current article and propose alternatives. Generate new text that does not infringe on copyright."

[0115] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0116] Step 1:

[0117] The user inputs content created using the device. The input data is in text format, and the device sends it to a server in a cloud environment. At this point, the input is the user's original text.

[0118] Step 2:

[0119] The server starts up the information processing device and compares the received text data with the intellectual property database. The comparison is performed using a natural language processing algorithm. Specifically, the document is vectorized and a similarity score is calculated. If the similarity score exceeds a certain threshold, an index of similar sections is obtained as output.

[0120] Step 3:

[0121] Based on the analysis results, the server sends a warning to the user using a notification system. The input here is the information on similar locations obtained in step 2, and the output is a warning message to the user. The warning message includes a similarity score and specific phrases.

[0122] Step 4:

[0123] The server uses a suggestion generation mechanism to generate alternative suggestions for the detected similar sections. The inputs are the similar sections identified in step 2 and the generation AI model stored on the server. The output is information containing alternative expressions. This presents the user with new wording candidates.

[0124] Step 5:

[0125] The server presents specific alternatives to the user through a display mechanism. The user can then view these on their terminal. Specifically, this includes a function in the user interface to display the suggested alternatives as a pop-up or sidebar.

[0126] Step 6:

[0127] The user adopts or modifies an alternative and re-enters the modified information. The newly entered data is sent back to the server, which re-evaluates this new information. The re-evaluation results are generated through the same process as in step 2. The output is a confirmation that the modifications were made correctly.

[0128] 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.

[0129] This invention is a system for securely publishing user-generated documents, and is characterized by its configuration that incorporates an emotion engine that recognizes the user's emotions, in addition to a data processing device that analyzes the content of the document. A specific example of this system is shown below.

[0130] The user inputs a document using a terminal and sends it to the server. The server analyzes the received document using a data processing device and assesses the risk of copyright infringement. In this process, the analysis device compares the document data with a database of existing copyrighted works and identifies sections that may infringe the rights of third parties by detecting similarities.

[0131] On the other hand, the emotion engine analyzes the user's emotional state in real time in conjunction with user input. This analysis allows for evaluation of the user's emotional response to presented alternatives and warnings. Specifically, it acquires emotional data through voice interfaces and facial recognition via cameras.

[0132] Based on the detected emotional state, the server adjusts how alternatives are presented to match the user's emotions. For example, if the emotion engine determines that the user is confused, it can explain the alternatives more carefully and present multiple options.

[0133] The user reviews the notification and resubmits the document if necessary, making any necessary corrections. The server then re-checks the corrected document and performs security checks, ultimately ensuring that the user can confidently publish the document.

[0134] For example, if a well-known character's name is mistakenly used in a novel, the server will issue a warning. If the emotion engine detects that the user's stress level is high, it will generate more detailed and user-friendly alternative suggestions. In this way, the system improves the user experience while efficiently avoiding copyright risks.

[0135] The following describes the processing flow.

[0136] Step 1:

[0137] The user uses a terminal to input a document they have written. The terminal then prepares to send the entered document data to the server.

[0138] Step 2:

[0139] The device sends document data to the server. The data is transferred to the server using a secure method.

[0140] Step 3:

[0141] The server receives document data, which is then analyzed by a data processing device. The analysis is used to evaluate whether the document content may infringe on the copyright of existing works.

[0142] Step 4:

[0143] The server identifies areas at risk of copyright infringement based on the analysis results. This information is then compiled and prepared for the next notification step.

[0144] Step 5:

[0145] The emotion engine analyzes the user's emotions in real time. It uses audio and video data to assess the emotions the user is experiencing.

[0146] Step 6:

[0147] The server notifies the user of identified copyright infringement risks. The notification includes the specific problematic areas and their details.

[0148] Step 7:

[0149] The emotion engine uses the user's emotions to guide the server in adjusting how alternatives are presented. For example, if the user is stressed, the suggestions will be presented in a more easily understandable format.

[0150] Step 8:

[0151] The server generates appropriate alternatives based on the sentiment analysis results and informs the user. It may present multiple options at once.

[0152] Step 9:

[0153] The user reviews the notification and alternative suggestions through their device and revises the document at their own discretion. Once the revisions are complete, they resubmit the document to the server.

[0154] Step 10:

[0155] The terminal sends the corrected document to the server. The server re-analyzes the changes and verifies that the problem has been resolved.

[0156] Step 11:

[0157] The server performs a final check and notifies the user that all issues have been resolved. This allows the user to safely publish their document.

[0158] (Example 2)

[0159] 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".

[0160] In today's information society, there is a need to address the risks of copyright infringement associated with document creation and publication, as well as the potential for misunderstandings of information received by users. Furthermore, there is a lack of systems that can provide flexible and considerate responses to user concerns when issuing warnings or offering alternatives related to document risks.

[0161] 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.

[0162] In this invention, the server includes an information processing device for analyzing the content of a generated document, an analysis means for comparing the document with an information storage of existing copyrighted works, a warning means for generating warnings for sections where similarity is detected, an alternative proposal generation means for generating alternative expressions, a notification means for supplying relevant information to the user, an emotion estimation means for analyzing the user's emotional state, and a presentation adjustment means for adjusting the presentation of alternative proposals based on the emotional state. This enables safer and more user-friendly document publication by allowing the user to appropriately assess copyright risks and receive alternative proposals tailored to their emotional state.

[0163] An "information processing device" is a device used to analyze the content of a generated document and clarify its characteristics and problems.

[0164] An "information storage facility" refers to a storage medium where data of existing copyrighted works is stored, and it is a database used for comparing document content.

[0165] "Analysis means" refers to a technique that compares documents with data stored in an information repository, detects similarities, and identifies problematic areas.

[0166] A "warning mechanism" refers to a method or system for presenting a warning to the user regarding areas where similarity has been detected through analysis.

[0167] "Alternative solution generation methods" are technologies for generating different expressions or options in order to improve problematic sections within a document.

[0168] A "notification system" is a system that provides users with warnings, alternatives, and other necessary information.

[0169] "Emotion inference methods" are technologies that analyze a user's emotional state from their voice, facial expressions, etc., and evaluate that state.

[0170] "Presentation adjustment means" refers to a technology that adjusts the method of presenting alternatives based on the detected emotional state of the user.

[0171] This section describes the modes for carrying out the invention.

[0172] This system allows users to securely publish documents and involves a series of processes performed by the server, terminal, and user. The server uses information processing equipment to analyze the content of the generated document. The analysis utilizes natural language processing technology and generative AI models, which tokenize the text in the document and compare it to an information repository where existing copyrighted works are stored. If similarity is detected as a result of the comparison, the user is presented with a warning through a warning mechanism.

[0173] The server also incorporates emotion inference capabilities, analyzing the voice and facial expressions captured during user input. This allows it to grasp the user's emotional state in real time and present emotionally sensitive alternatives using presentation adjustment mechanisms. If the user is confused, the server carefully explains the alternatives to help the user understand the situation and make appropriate corrections.

[0174] As a concrete example, consider a case where a character name similar to one in an existing work is mistakenly used in a novel. The server can issue a warning, and if it determines that the user is experiencing stress, it can offer several specific alternatives for changing the character name. This allows the user to confidently proceed with preparing the document for publication.

[0175] When using a generative AI model, you can use prompts like the following: "Analyze the following document from a copyright perspective, identify any problematic areas, and suggest alternatives as needed." This prompt will prompt the system to perform document analysis and generate alternatives.

[0176] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0177] Step 1: The user enters the document on the terminal and presses the send button to send the document data to the server. The input is a text document written by the user, and the output is that document sent to the server. Specifically, the user enters the document using a dedicated application or web interface on the terminal.

[0178] Step 2: The server transfers the received document to the information processing device and starts analyzing the document content using a generative AI model. The input is the document submitted by the user, and the output is the tokenized data of the document and the analysis results. In this process, natural language processing techniques are used to subdivide the document data and generate the basic data for analysis.

[0179] Step 3: The server compares the document analysis results with the information repository where the existing copyrighted work is stored and detects similarities. The input is the tokenized document data and the contents of the copyrighted work database, and the output is the detected similarities and their specific locations. Specifically, the server executes a comparison algorithm with the existing database.

[0180] Step 4: The server generates a warning based on the analysis and notifies the user. The input here is information about similar locations, and the output is the warning message presented to the user. Specifically, the server summarizes the detected problems and converts them into a format that is easy for the user to understand.

[0181] Step 5: The server analyzes the user's emotional state in real time using emotion estimation tools. The input is the user's voice data and facial expression data collected through the terminal, and the output is the estimated emotional state of the user. Based on this data, the server performs an operation to estimate changes in the user's emotions.

[0182] Step 6: The server adjusts the method of presenting alternatives according to the user's emotional state and sends specific suggestions to the user using the alternative generation mechanism. The input here is the emotion analysis results and the problematic parts of the document, and the output is the presentation of the adjusted alternatives. Specifically, it generates suggestions that include appropriate words and phrases that match the user's emotions.

[0183] Step 7: The user revises the document based on the information provided and resubmits it to the server. The input is the feedback from the server and the user's revised document, and the output is the revised document data. The user operates the terminal to edit the document and submits the revised version by pressing the new submit button.

[0184] (Application Example 2)

[0185] 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".

[0186] In modern electronic payment services, ensuring users can conduct transactions safely and without anxiety requires constant monitoring of transaction security risks and appropriate support tailored to the user's emotional state. However, conventional systems have been insufficient in identifying user emotions in real time and dynamically adjusting responses based on those emotions.

[0187] 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.

[0188] In this invention, the server includes an information processing device for analyzing the content of a generated document, an analysis means for comparing the document with an information set of existing copyrighted works, and an emotion recognition means for detecting the user's emotional state. This enables real-time determination of the user's emotions, confirmation of transaction security, and flexible support tailored to the user's situation.

[0189] An "information processing device" is a device used to handle generated documents and data, and to perform analysis and calculations on them.

[0190] An "information set" refers to a series of data, such as a database, that contains existing copyrighted works.

[0191] "Analysis tools" refer to methods and functions for comparing and analyzing documents and information sets to identify specific patterns or conflicts.

[0192] A "warning mechanism" is a function that alerts the user to detected collisions or problems.

[0193] An "alternative solution generation mechanism" is a function that generates a new expression to replace a document when the original document contains problems.

[0194] "Notification means" refers to methods or functions for conveying information to users.

[0195] "Emotion recognition means" refers to methods and functions for detecting and analyzing a user's emotional state.

[0196] "Adaptive measures" refer to functions that adjust the alternatives and support methods provided based on the user's emotional state.

[0197] The system of this invention enables users to conduct transactions safely and securely in electronic payment services. The system includes the following main elements:

[0198] The server uses an information processing device to analyze transaction data entered by the user and compares it with existing data sets. If a transaction may be related to fraudulent activity, the server notifies the user through a warning system.

[0199] Furthermore, the user's device is equipped with emotion recognition capabilities that detect emotions in real time from the user's facial expressions and voice, and transmit that data to the server. Emotion recognition uses a camera and microphone, and the software used includes OpenCV and TENSORFLOW®.

[0200] Based on the received sentiment data, the server uses adaptive mechanisms to provide alternative transaction options and supplementary information tailored to the user's emotional state. This process allows users to complete electronic transactions safely without experiencing anxiety or misunderstandings.

[0201] As a concrete example, if a user attempts to purchase an expensive item from an online store and expresses anxiety during the transaction, the system will immediately detect this. It will then provide additional steps to verify the security of the purchase and take measures to reassure the user.

[0202] An example of a prompt message is: "Analyze the user's stress level from their facial expressions and voice, and assess the risks during electronic payment. If a significant risk is detected, generate a message suggesting a reassuring alternative."

[0203] Thus, the system of the present invention aims to provide users with a personalized, safe, and comfortable trading experience by utilizing a generative AI model.

[0204] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0205] Step 1:

[0206] The user uses a terminal to enter payment data for the item they intend to purchase. The terminal sends this information to the server. The server analyzes the received transaction data and compares it to an existing set of information to identify potential fraudulent activity. The input is the transaction data, and the output is the analysis results.

[0207] Step 2:

[0208] The device uses a built-in emotion recognition system to collect emotional data in real time from the user's facial expressions and voice. For this process, the device utilizes a camera and microphone to analyze emotions using a TensorFlow model. The input is the user's facial expressions and voice, and the output is data indicating the emotional state.

[0209] Step 3:

[0210] The device sends emotional data to the server. The server analyzes the emotional data and evaluates whether the user is showing anxiety or confusion. This data is used with adaptive tools to help guide the transaction and suggest alternative methods. The input is emotional data, and the output is the evaluation result of the user's emotions.

[0211] Step 4:

[0212] The server activates a generative AI model to generate optimal alternatives based on the analysis results of transaction data and the user's sentiment evaluation. Using appropriate prompts, the generative AI model generates content. The input is transaction data and sentiment evaluation results, and the output is personalized alternatives and supplementary information.

[0213] Step 5:

[0214] The server sends the generated alternatives and supplementary information to the terminal. The user receives the presented information and proceeds with the transaction with confidence. Specifically, the terminal notifies the user of the information, and the user confirms the explanation and suggestions. The input is the generated alternatives, and the output is the notification to the user.

[0215] 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.

[0216] 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.

[0217] 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.

[0218] [Second Embodiment]

[0219] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0220] 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.

[0221] 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).

[0222] 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.

[0223] 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.

[0224] 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).

[0225] 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.

[0226] 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.

[0227] 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.

[0228] 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.

[0229] 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.

[0230] 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".

[0231] This invention relates to a system for reducing the risk of copyright infringement of generated documents, and the system primarily operates around a data processing device. Specific examples are shown below.

[0232] The user initiates the analysis process by inputting a document they have written from their terminal. The terminal sends this document data to the server. The server receives the data and uses its internal data processing equipment to perform an analysis to compare the document with an existing copyright database. This evaluates how similar the text in the document is to other copyrighted works.

[0233] If similarity is detected, the server will notify the user using a warning mechanism. This notification will indicate which parts of the document pose a risk of copyright infringement. Furthermore, the server will use an alternative generation mechanism to automatically generate alternative expressions for the problematic expressions.

[0234] Users can review these notifications and suggested alternatives on their devices and revise their documents as needed. In addition, users can resubmit the revised document to the server for further checks. At this stage, the server re-evaluates the document to verify that the revisions were made correctly. If the issues are resolved, users can then safely prepare to publish their documents.

[0235] For example, if a user mistakenly uses the name of a famous character in a novel, the server will issue a warning notification and suggest alternative names to support the user in correcting the mistake. In this way, the present invention provides a practical solution that allows users to continue creating with peace of mind.

[0236] The following describes the processing flow.

[0237] Step 1:

[0238] The user inputs a document they have written themselves into the terminal. Once input is complete, the terminal prepares to send the data to the server.

[0239] Step 2:

[0240] The terminal sends document data to the server. The data is securely transferred to the server.

[0241] Step 3:

[0242] The server provides the received document data to the analysis means. The analysis means compares the document text with an existing copyright database and evaluates the similarity.

[0243] Step 4:

[0244] Based on the analysis results, the server identifies portions of the document that are suspected of copyright infringement. For the identified portions, it then compiles risk information.

[0245] Step 5:

[0246] The server sends a notification to the user via a warning system, informing them of the risk of intrusion. This notification includes specific locations and details so that the user can identify the problematic areas.

[0247] Step 6:

[0248] The server uses an alternative solution generation mechanism to automatically generate proposed corrections for the identified issues. The generated alternative solutions are also notified to the user.

[0249] Step 7:

[0250] The user reviews the notification content and alternative suggestions via their device and revises the document based on their own judgment. They then save the revised document and prepare to resubmit it to the server.

[0251] Step 8:

[0252] The terminal resends the corrected document to the server. This is a process to verify that the changes have been correctly reflected.

[0253] Step 9:

[0254] The server re-analyzes the corrected document to confirm that the risk of copyright infringement has been eliminated. If all issues are resolved, the user is notified that there are no problems.

[0255] Step 10:

[0256] Users can check notifications from the server and begin the process of securely publishing their documents. This allows users to engage in creative activities with greater peace of mind.

[0257] (Example 1)

[0258] 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."

[0259] With the proliferation of digital content, unintentional similarities between original documents and existing copyrighted works are becoming more frequent. In such cases, the risk of copyright infringement increases, potentially causing problems with the publication or distribution of documents. Therefore, it is necessary to efficiently manage copyright risks during the document creation process and ensure the safe publication of documents.

[0260] 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.

[0261] In this invention, the server includes an information processing device means for analyzing data, an analysis means for comparing document data with an existing information collection, and a warning means for identifying conflicts and generating warnings. This allows users to immediately identify potential copyright issues while creating documents and quickly make necessary corrections.

[0262] An "information processing device for data analysis" is a computer system that processes input data and extracts or evaluates specific information.

[0263] "Analysis means" refers to software or hardware functions that compare document data with existing information sets to clarify their similarities and differences.

[0264] A "warning mechanism" is a notification system designed to inform users of potential problems or risks.

[0265] "Alternatives" refers to a function that generates new suggestions for replacing problematic expressions with other expressions.

[0266] "Transmission means" refers to a means of communication or an interface for providing processed information to a user.

[0267] "Processing means" refers to system functions for receiving, re-evaluating, and performing necessary processing on data.

[0268] This invention is an information processing system that manages the copyright risks of user-created documents and supports their secure publication. The system primarily functions by combining a server and terminals.

[0269] Users input documents using a terminal. This information is typically created using a text editor or word processing software. The terminal is responsible for sending the entered document data to the server. Data transmission is secure using the HTTP protocol and encrypted with SSL / TLS.

[0270] The server analyzes the received document data. This involves the use of information processing equipment, including document analysis software and similarity assessment algorithms. Specifically, algorithms using SimHash and Jaccard coefficients compare the document with existing information sets. If the analysis determines there is a copyright risk, the server uses warning mechanisms to send a notification to the user. The notification outlines recommended changes and is provided via email or in-app message.

[0271] Furthermore, the server uses alternative methods to generate suggestions for replacing the content with safer expressions. This process is carried out using a generative AI model. An example of a specific prompt might be, "Please check if a particular expression in this text is copyright-infringing and suggest a safe alternative."

[0272] Users can revise their documents based on this information and resubmit them from their devices for re-evaluation. The server rechecks the revised documents to ensure that risks are properly managed. If there are no problems, the user is then ready to safely publish the document.

[0273] Thus, this system provides a practical means for users to effectively manage copyright-related risks while engaging in creative activities with peace of mind.

[0274] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0275] Step 1:

[0276] The user inputs the document using a terminal. They use a text editor or word processing software to write the necessary content. The entered document data is saved digitally for later processing. The output is the prepared document data.

[0277] Step 2:

[0278] The terminal sends document data entered by the user to the server. The input here is document data stored on the terminal, while the output is digital data securely transferred to the server. This data transfer uses the HTTP protocol and SSL / TLS encryption.

[0279] Step 3:

[0280] The server analyzes the received document data. Here, an information processing device and analysis means are driven to perform the data analysis. The input is the document data stored on the server, and the output is the similarity evaluation result of the information extracted from the document data. This result is calculated using algorithms such as SimHash and Jaccard coefficients.

[0281] Step 4:

[0282] The server generates a warning based on the evaluation result. The input is the similarity evaluation result, and the output is a notification message with the warning content. The server sends the notification as an email or a message within the app to inform the user about the identified problem area.

[0283] Step 5:

[0284] The server generates alternatives for the problem area. In this step, a generation AI model is used to generate a correction proposal based on the specified prompt text. The input is the text of the identified problem area, and the output is a list of safe alternatives.

[0285] Step 6:

[0286] The user uses the terminal to check the notification and alternatives from the server and corrects the document. Here, the document is corrected manually by referring to the part indicated by the warning. The new document data after the correction is saved as the output.

[0287] Step 7:

[0288] The user resends the corrected document from the terminal to the server and receives a re-evaluation. The input is the document data corrected by the user, and the output is the digital data transferred back to the server again.

[0289] Step 8:

[0290] The server analyzes the resubmitted document and performs a re-evaluation. The input to this process is the corrected document data, and the output is the result of the final copyright risk assessment. If the risk is properly managed, the final evaluation is notified to the user.

[0291] Through this process, the user can create and publish documents safely while managing the copyright risk.

[0292] (Application Example 1)

[0293] 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."

[0294] The challenge lies in reducing the risk of copyright infringement caused by content creators unknowingly using similar expressions to existing works, and in providing an environment where content can be safely published. In particular, rapid correction and re-evaluation are required in content distribution services.

[0295] 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.

[0296] In this invention, the server includes an information processing device for analyzing the content of generated information, an analysis means for comparing the information with a database of existing intellectual property, a notification means for generating notifications for sections where similarity is detected, a draft generation means for generating alternative text, a display means for providing the relevant information to the user, and a communication means for executing the above functions on a cloud environment. This enables content creators to create and publish content safely and efficiently while avoiding copyright infringement.

[0297] An "information processing device" is a computer device used to analyze the content of generated information and compare it with other information.

[0298] "Information" refers to documents and content created by users, and is the data that is subject to analysis.

[0299] An "intellectual property database" is a database system that stores existing copyrighted works and patent information, and is used for searching and comparing them.

[0300] An "analysis tool" is a system that has the function of comparing information and intellectual property databases and evaluating their similarity.

[0301] The "notification means" is a communication function for sending warnings and information to users based on the analysis results.

[0302] The "proposal generation means" is a function for generating alternative expressions and contents for the detected similar parts.

[0303] The "display means" is an interface for visually providing users with analysis results and alternatives.

[0304] The "communication means" is a network function for transmitting and receiving information on the cloud environment and coordinating various functions.

[0305] Mode for Implementing the Invention

[0306] This invention is a system that enables content producers to reduce the risk of copyright infringement and safely publish content. The server operates in the following procedure.

[0307] First, the user creates content and inputs it from the terminal. The terminal transfers this information to the server on the cloud environment. The server analyzes the transmitted information using an information processing device. Specifically, by utilizing analysis means, the information is compared with the intellectual property database, and the similarity is evaluated.

[0308] If similarity is confirmed, the server sends a warning to the user by the notification means. Also, an alternative for the similar part is generated by the proposal generation means and presented to the user through the display means. Thereby, the user can safely re-enter the corrected information and receive a final evaluation.

[0309] Since this system links all processes by cloud communication means, a quick response is possible. On the client side, general terminals (e.g., smartphones, tablets, personal computers, etc.) can be used, and on the server side, cloud services such as Amazon Web Services (AWS) and Google Cloud are utilized.

[0310] As a concrete example, suppose a user unknowingly quotes a portion of a popular book while creating a blog post. In this case, the system will identify the passage and suggest an alternative expression, saying, "This section is similar to another work. How about using the following expression?"

[0311] Examples of prompts for generative AI models:

[0312] "Identify documents similar to the current article and propose alternatives. Generate new text that does not infringe on copyright."

[0313] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0314] Step 1:

[0315] The user inputs content created using the device. The input data is in text format, and the device sends it to a server in a cloud environment. At this point, the input is the user's original text.

[0316] Step 2:

[0317] The server starts up the information processing device and compares the received text data with the intellectual property database. The comparison is performed using a natural language processing algorithm. Specifically, the document is vectorized and a similarity score is calculated. If the similarity score exceeds a certain threshold, an index of similar sections is obtained as output.

[0318] Step 3:

[0319] Based on the analysis results, the server sends a warning to the user using a notification system. The input here is the information on similar locations obtained in step 2, and the output is a warning message to the user. The warning message includes a similarity score and specific phrases.

[0320] Step 4:

[0321] The server uses a suggestion generation mechanism to generate alternative suggestions for the detected similar sections. The inputs are the similar sections identified in step 2 and the generation AI model stored on the server. The output is information containing alternative expressions. This presents the user with new wording candidates.

[0322] Step 5:

[0323] The server presents specific alternatives to the user through a display mechanism. The user can then view these on their terminal. Specifically, this includes a function in the user interface to display the suggested alternatives as a pop-up or sidebar.

[0324] Step 6:

[0325] The user adopts or modifies an alternative and re-enters the modified information. The newly entered data is sent back to the server, which re-evaluates this new information. The re-evaluation results are generated through the same process as in step 2. The output is a confirmation that the modifications were made correctly.

[0326] 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.

[0327] This invention is a system for securely publishing user-generated documents, and is characterized by its configuration that incorporates an emotion engine that recognizes the user's emotions, in addition to a data processing device that analyzes the content of the document. A specific example of this system is shown below.

[0328] The user inputs a document using a terminal and sends it to the server. The server analyzes the received document using a data processing device and assesses the risk of copyright infringement. In this process, the analysis device compares the document data with a database of existing copyrighted works and identifies sections that may infringe the rights of third parties by detecting similarities.

[0329] On the other hand, the emotion engine analyzes the user's emotional state in real time in conjunction with user input. This analysis allows for evaluation of the user's emotional response to presented alternatives and warnings. Specifically, it acquires emotional data through voice interfaces and facial recognition via cameras.

[0330] Based on the detected emotional state, the server adjusts how alternatives are presented to match the user's emotions. For example, if the emotion engine determines that the user is confused, it can explain the alternatives more carefully and present multiple options.

[0331] The user reviews the notification and resubmits the document if necessary, making any necessary corrections. The server then re-checks the corrected document and performs security checks, ultimately ensuring that the user can confidently publish the document.

[0332] For example, if a well-known character's name is mistakenly used in a novel, the server will issue a warning. If the emotion engine detects that the user's stress level is high, it will generate more detailed and user-friendly alternative suggestions. In this way, the system improves the user experience while efficiently avoiding copyright risks.

[0333] The following describes the processing flow.

[0334] Step 1:

[0335] The user uses a terminal to input a document they have written. The terminal then prepares to send the entered document data to the server.

[0336] Step 2:

[0337] The device sends document data to the server. The data is transferred to the server using a secure method.

[0338] Step 3:

[0339] The server receives document data, which is then analyzed by a data processing device. The analysis is used to evaluate whether the document content may infringe on the copyright of existing works.

[0340] Step 4:

[0341] The server identifies areas at risk of copyright infringement based on the analysis results. This information is then compiled and prepared for the next notification step.

[0342] Step 5:

[0343] The emotion engine analyzes the user's emotions in real time. It uses audio and video data to assess the emotions the user is experiencing.

[0344] Step 6:

[0345] The server notifies the user of identified copyright infringement risks. The notification includes the specific problematic areas and their details.

[0346] Step 7:

[0347] The emotion engine uses the user's emotions to guide the server in adjusting how alternatives are presented. For example, if the user is stressed, the suggestions will be presented in a more easily understandable format.

[0348] Step 8:

[0349] The server generates appropriate alternatives based on the sentiment analysis results and informs the user. It may present multiple options at once.

[0350] Step 9:

[0351] The user reviews the notification and alternative suggestions through their device and revises the document at their own discretion. Once the revisions are complete, they resubmit the document to the server.

[0352] Step 10:

[0353] The terminal sends the corrected document to the server. The server re-analyzes the changes and verifies that the problem has been resolved.

[0354] Step 11:

[0355] The server performs a final check and notifies the user that all issues have been resolved. This allows the user to safely publish their document.

[0356] (Example 2)

[0357] 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".

[0358] In today's information society, there is a need to address the risks of copyright infringement associated with document creation and publication, as well as the potential for misunderstandings of information received by users. Furthermore, there is a lack of systems that can provide flexible and considerate responses to user concerns when issuing warnings or offering alternatives related to document risks.

[0359] 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.

[0360] In this invention, the server includes an information processing device for analyzing the content of a generated document, an analysis means for comparing the document with an information storage of existing copyrighted works, a warning means for generating warnings for sections where similarity is detected, an alternative proposal generation means for generating alternative expressions, a notification means for supplying relevant information to the user, an emotion estimation means for analyzing the user's emotional state, and a presentation adjustment means for adjusting the presentation of alternative proposals based on the emotional state. This enables safer and more user-friendly document publication by allowing the user to appropriately assess copyright risks and receive alternative proposals tailored to their emotional state.

[0361] An "information processing device" is a device used to analyze the content of a generated document and clarify its characteristics and problems.

[0362] An "information storage facility" refers to a storage medium where data of existing copyrighted works is stored, and it is a database used for comparing document content.

[0363] "Analysis means" refers to a technique that compares documents with data stored in an information repository, detects similarities, and identifies problematic areas.

[0364] A "warning mechanism" refers to a method or system for presenting a warning to the user regarding areas where similarity has been detected through analysis.

[0365] "Alternative solution generation methods" are technologies for generating different expressions or options in order to improve problematic sections within a document.

[0366] A "notification system" is a system that provides users with warnings, alternatives, and other necessary information.

[0367] "Emotion inference methods" are technologies that analyze a user's emotional state from their voice, facial expressions, etc., and evaluate that state.

[0368] "Presentation adjustment means" refers to a technology that adjusts the method of presenting alternatives based on the detected emotional state of the user.

[0369] This section describes the modes for carrying out the invention.

[0370] This system allows users to securely publish documents and involves a series of processes performed by the server, terminal, and user. The server uses information processing equipment to analyze the content of the generated document. The analysis utilizes natural language processing technology and generative AI models, which tokenize the text in the document and compare it to an information repository where existing copyrighted works are stored. If similarity is detected as a result of the comparison, the user is presented with a warning through a warning mechanism.

[0371] The server also incorporates emotion inference capabilities, analyzing the voice and facial expressions captured during user input. This allows it to grasp the user's emotional state in real time and present emotionally sensitive alternatives using presentation adjustment mechanisms. If the user is confused, the server carefully explains the alternatives to help the user understand the situation and make appropriate corrections.

[0372] As a concrete example, consider a case where a character name similar to one in an existing work is mistakenly used in a novel. The server can issue a warning, and if it determines that the user is experiencing stress, it can offer several specific alternatives for changing the character name. This allows the user to confidently proceed with preparing the document for publication.

[0373] When using a generative AI model, you can use prompts like the following: "Analyze the following document from a copyright perspective, identify any problematic areas, and suggest alternatives as needed." This prompt will prompt the system to perform document analysis and generate alternatives.

[0374] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0375] Step 1: The user enters the document on the terminal and presses the send button to send the document data to the server. The input is a text document written by the user, and the output is that document sent to the server. Specifically, the user enters the document using a dedicated application or web interface on the terminal.

[0376] Step 2: The server transfers the received document to the information processing device and starts analyzing the document content using a generative AI model. The input is the document submitted by the user, and the output is the tokenized data of the document and the analysis results. In this process, natural language processing techniques are used to subdivide the document data and generate the basic data for analysis.

[0377] Step 3: The server compares the document analysis results with the information repository where the existing copyrighted work is stored and detects similarities. The input is the tokenized document data and the contents of the copyrighted work database, and the output is the detected similarities and their specific locations. Specifically, the server executes a comparison algorithm with the existing database.

[0378] Step 4: The server generates a warning based on the analysis and notifies the user. The input here is information about similar locations, and the output is the warning message presented to the user. Specifically, the server summarizes the detected problems and converts them into a format that is easy for the user to understand.

[0379] Step 5: The server analyzes the user's emotional state in real time using emotion estimation tools. The input is the user's voice data and facial expression data collected through the terminal, and the output is the estimated emotional state of the user. Based on this data, the server performs an operation to estimate changes in the user's emotions.

[0380] Step 6: The server adjusts the method of presenting alternatives according to the user's emotional state and sends specific suggestions to the user using the alternative generation mechanism. The input here is the emotion analysis results and the problematic parts of the document, and the output is the presentation of the adjusted alternatives. Specifically, it generates suggestions that include appropriate words and phrases that match the user's emotions.

[0381] Step 7: The user revises the document based on the information provided and resubmits it to the server. The input is the feedback from the server and the user's revised document, and the output is the revised document data. The user operates the terminal to edit the document and submits the revised version by pressing the new submit button.

[0382] (Application Example 2)

[0383] 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."

[0384] In modern electronic payment services, ensuring users can conduct transactions safely and without anxiety requires constant monitoring of transaction security risks and appropriate support tailored to the user's emotional state. However, conventional systems have been insufficient in identifying user emotions in real time and dynamically adjusting responses based on those emotions.

[0385] 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.

[0386] In this invention, the server includes an information processing device for analyzing the content of a generated document, an analysis means for comparing the document with an information set of existing copyrighted works, and an emotion recognition means for detecting the user's emotional state. This enables real-time determination of the user's emotions, confirmation of transaction security, and flexible support tailored to the user's situation.

[0387] An "information processing device" is a device used to handle generated documents and data, and to perform analysis and calculations on them.

[0388] An "information set" refers to a series of data, such as a database, that contains existing copyrighted works.

[0389] "Analysis tools" refer to methods and functions for comparing and analyzing documents and information sets to identify specific patterns or conflicts.

[0390] A "warning mechanism" is a function that alerts the user to detected collisions or problems.

[0391] An "alternative solution generation mechanism" is a function that generates a new expression to replace a document when the original document contains problems.

[0392] "Notification means" refers to methods or functions for conveying information to users.

[0393] "Emotion recognition means" refers to methods and functions for detecting and analyzing a user's emotional state.

[0394] "Adaptive measures" refer to functions that adjust the alternatives and support methods provided based on the user's emotional state.

[0395] The system of this invention enables users to conduct transactions safely and securely in electronic payment services. The system includes the following main elements:

[0396] The server uses an information processing device to analyze transaction data entered by the user and compares it with existing data sets. If a transaction may be related to fraudulent activity, the server notifies the user through a warning system.

[0397] Furthermore, the user's device is equipped with emotion recognition capabilities that detect emotions in real time from the user's facial expressions and voice, and send that data to the server. Emotion recognition uses a camera and microphone, and the software used is OpenCV or TensorFlow.

[0398] Based on the received sentiment data, the server uses adaptive mechanisms to provide alternative transaction options and supplementary information tailored to the user's emotional state. This process allows users to complete electronic transactions safely without experiencing anxiety or misunderstandings.

[0399] As a concrete example, if a user attempts to purchase an expensive item from an online store and expresses anxiety during the transaction, the system will immediately detect this. It will then provide additional steps to verify the security of the purchase and take measures to reassure the user.

[0400] An example of a prompt message is: "Analyze the user's stress level from their facial expressions and voice, and assess the risks during electronic payment. If a significant risk is detected, generate a message suggesting a reassuring alternative."

[0401] Thus, the system of the present invention aims to provide users with a personalized, safe, and comfortable trading experience by utilizing a generative AI model.

[0402] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0403] Step 1:

[0404] The user uses a terminal to enter payment data for the item they intend to purchase. The terminal sends this information to the server. The server analyzes the received transaction data and compares it to an existing set of information to identify potential fraudulent activity. The input is the transaction data, and the output is the analysis results.

[0405] Step 2:

[0406] The device uses a built-in emotion recognition system to collect emotional data in real time from the user's facial expressions and voice. For this process, the device utilizes a camera and microphone to analyze emotions using a TensorFlow model. The input is the user's facial expressions and voice, and the output is data indicating the emotional state.

[0407] Step 3:

[0408] The device sends emotional data to the server. The server analyzes the emotional data and evaluates whether the user is showing anxiety or confusion. This data is used with adaptive tools to help guide the transaction and suggest alternative methods. The input is emotional data, and the output is the evaluation result of the user's emotions.

[0409] Step 4:

[0410] The server activates a generative AI model to generate optimal alternatives based on the analysis results of transaction data and the user's sentiment evaluation. Using appropriate prompts, the generative AI model generates content. The input is transaction data and sentiment evaluation results, and the output is personalized alternatives and supplementary information.

[0411] Step 5:

[0412] The server sends the generated alternatives and supplementary information to the terminal. The user receives the presented information and proceeds with the transaction with confidence. Specifically, the terminal notifies the user of the information, and the user confirms the explanation and suggestions. The input is the generated alternatives, and the output is the notification to the user.

[0413] 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.

[0414] 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.

[0415] 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.

[0416] [Third Embodiment]

[0417] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0418] 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.

[0419] 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).

[0420] 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.

[0421] 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.

[0422] 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).

[0423] 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.

[0424] 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.

[0425] 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.

[0426] 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.

[0427] 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.

[0428] 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".

[0429] This invention relates to a system for reducing the risk of copyright infringement of generated documents, and the system primarily operates around a data processing device. Specific examples are shown below.

[0430] The user initiates the analysis process by inputting a document they have written from their terminal. The terminal sends this document data to the server. The server receives the data and uses its internal data processing equipment to perform an analysis to compare the document with an existing copyright database. This evaluates how similar the text in the document is to other copyrighted works.

[0431] If similarity is detected, the server will notify the user using a warning mechanism. This notification will indicate which parts of the document pose a risk of copyright infringement. Furthermore, the server will use an alternative generation mechanism to automatically generate alternative expressions for the problematic expressions.

[0432] Users can review these notifications and suggested alternatives on their devices and revise their documents as needed. In addition, users can resubmit the revised document to the server for further checks. At this stage, the server re-evaluates the document to verify that the revisions were made correctly. If the issues are resolved, users can then safely prepare to publish their documents.

[0433] For example, if a user mistakenly uses the name of a famous character in a novel, the server will issue a warning notification and suggest alternative names to support the user in correcting the mistake. In this way, the present invention provides a practical solution that allows users to continue creating with peace of mind.

[0434] The following describes the processing flow.

[0435] Step 1:

[0436] The user inputs a document they have written themselves into the terminal. Once input is complete, the terminal prepares to send the data to the server.

[0437] Step 2:

[0438] The terminal sends document data to the server. The data is securely transferred to the server.

[0439] Step 3:

[0440] The server provides the received document data to the analysis means. The analysis means compares the document text with an existing copyright database and evaluates the similarity.

[0441] Step 4:

[0442] Based on the analysis results, the server identifies portions of the document that are suspected of copyright infringement. For the identified portions, it then compiles risk information.

[0443] Step 5:

[0444] The server sends a notification to the user via a warning system, informing them of the risk of intrusion. This notification includes specific locations and details so that the user can identify the problematic areas.

[0445] Step 6:

[0446] The server uses an alternative solution generation mechanism to automatically generate proposed corrections for the identified issues. The generated alternative solutions are also notified to the user.

[0447] Step 7:

[0448] The user reviews the notification content and alternative suggestions via their device and revises the document based on their own judgment. They then save the revised document and prepare to resubmit it to the server.

[0449] Step 8:

[0450] The terminal resends the corrected document to the server. This is a process to verify that the changes have been correctly reflected.

[0451] Step 9:

[0452] The server re-analyzes the corrected document to confirm that the risk of copyright infringement has been eliminated. If all issues are resolved, the user is notified that there are no problems.

[0453] Step 10:

[0454] Users can check notifications from the server and begin the process of securely publishing their documents. This allows users to engage in creative activities with greater peace of mind.

[0455] (Example 1)

[0456] 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."

[0457] With the proliferation of digital content, unintentional similarities between original documents and existing copyrighted works are becoming more frequent. In such cases, the risk of copyright infringement increases, potentially causing problems with the publication or distribution of documents. Therefore, it is necessary to efficiently manage copyright risks during the document creation process and ensure the safe publication of documents.

[0458] 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.

[0459] In this invention, the server includes an information processing device means for analyzing data, an analysis means for comparing document data with an existing information collection, and a warning means for identifying conflicts and generating warnings. This allows users to immediately identify potential copyright issues while creating documents and quickly make necessary corrections.

[0460] An "information processing device for data analysis" is a computer system that processes input data and extracts or evaluates specific information.

[0461] "Analysis means" refers to software or hardware functions that compare document data with existing information sets to clarify their similarities and differences.

[0462] A "warning mechanism" is a notification system designed to inform users of potential problems or risks.

[0463] "Alternatives" refers to a function that generates new suggestions for replacing problematic expressions with other expressions.

[0464] "Transmission means" refers to a means of communication or an interface for providing processed information to a user.

[0465] "Processing means" refers to system functions for receiving, re-evaluating, and performing necessary processing on data.

[0466] This invention is an information processing system that manages the copyright risks of user-created documents and supports their secure publication. The system primarily functions by combining a server and terminals.

[0467] Users input documents using a terminal. This information is typically created using a text editor or word processing software. The terminal is responsible for sending the entered document data to the server. Data transmission is secure using the HTTP protocol and encrypted with SSL / TLS.

[0468] The server analyzes the received document data. This involves the use of information processing equipment, including document analysis software and similarity assessment algorithms. Specifically, algorithms using SimHash and Jaccard coefficients compare the document with existing information sets. If the analysis determines there is a copyright risk, the server uses warning mechanisms to send a notification to the user. The notification outlines recommended changes and is provided via email or in-app message.

[0469] Furthermore, the server uses alternative methods to generate suggestions for replacing the content with safer expressions. This process is carried out using a generative AI model. An example of a specific prompt might be, "Please check if a particular expression in this text is copyright-infringing and suggest a safe alternative."

[0470] Users can revise their documents based on this information and resubmit them from their devices for re-evaluation. The server rechecks the revised documents to ensure that risks are properly managed. If there are no problems, the user is then ready to safely publish the document.

[0471] Thus, this system provides a practical means for users to effectively manage copyright-related risks while engaging in creative activities with peace of mind.

[0472] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0473] Step 1:

[0474] The user inputs the document using a terminal. They use a text editor or word processing software to write the necessary content. The entered document data is saved digitally for later processing. The output is the prepared document data.

[0475] Step 2:

[0476] The terminal sends document data entered by the user to the server. The input here is document data stored on the terminal, while the output is digital data securely transferred to the server. This data transfer uses the HTTP protocol and SSL / TLS encryption.

[0477] Step 3:

[0478] The server analyzes the received document data. Here, an information processing device and analysis means are driven to perform the data analysis. The input is the document data stored on the server, and the output is the similarity evaluation result of the information extracted from the document data. This result is calculated using algorithms such as SimHash and Jaccard coefficients.

[0479] Step 4:

[0480] The server generates a warning based on the evaluation results. The input is the similarity evaluation result, and the output is a notification message containing the warning. The server sends a notification to the user via email or in-app message to inform them about the identified problem areas.

[0481] Step 5:

[0482] The server generates alternatives for the problematic areas. In this step, a generative AI model is used to generate correction suggestions based on the specified prompt sentences. The input is the text of the identified problematic areas, and the output is a list of safe alternatives.

[0483] Step 6:

[0484] The user uses their terminal to review notifications and alternatives from the server and revise the document. Here, they manually revise the document, referring to the sections indicated in the warnings. The revised document data is saved as output.

[0485] Step 7:

[0486] The user resubmits the revised document from their terminal to the server for re-evaluation. The input is the document data revised by the user, and the output is the digital data that has been transferred back to the server.

[0487] Step 8:

[0488] The server analyzes and re-evaluates the resubmitted document. The input to this process is the modified document data, and the output is the result of the final copyright risk assessment. If the risks are properly managed, the final assessment is notified to the user.

[0489] Through this process, users can create and publish documents safely while managing copyright risks.

[0490] (Application Example 1)

[0491] 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."

[0492] The challenge lies in reducing the risk of copyright infringement caused by content creators unknowingly using similar expressions to existing works, and in providing an environment where content can be safely published. In particular, rapid correction and re-evaluation are required in content distribution services.

[0493] 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.

[0494] In this invention, the server includes an information processing device for analyzing the content of generated information, an analysis means for comparing the information with a database of existing intellectual property, a notification means for generating notifications for sections where similarity is detected, a draft generation means for generating alternative text, a display means for providing the relevant information to the user, and a communication means for executing the above functions on a cloud environment. This enables content creators to create and publish content safely and efficiently while avoiding copyright infringement.

[0495] An "information processing device" is a computer device used to analyze the content of generated information and compare it with other information.

[0496] "Information" refers to documents and content created by users, and is the data that is subject to analysis.

[0497] An "intellectual property database" is a database system that stores existing copyrighted works and patent information, and is used for searching and comparing them.

[0498] An "analysis tool" is a system that has the function of comparing information and intellectual property databases and evaluating their similarity.

[0499] A "notification method" refers to a communication function used to send warnings and information to users based on analysis results.

[0500] A "proposal generation method" is a function that generates alternative expressions or content for sections where similarity is detected.

[0501] A "display means" is an interface that provides users with analysis results and alternative solutions visually.

[0502] "Communication means" refers to network functions that send and receive information on a cloud environment and link various functions together.

[0503] Modes for carrying out the invention

[0504] This invention is a system that allows content creators to reduce the risk of copyright infringement and safely publish their content. The server operates in the following manner:

[0505] First, the user creates content and inputs it from their device. The device then transfers this information to a server in a cloud environment. The server uses an information processing device to analyze the transmitted information. Specifically, it uses analysis tools to compare the information with a database of intellectual property and evaluate its similarity.

[0506] If similarity is detected, the server sends a warning to the user via a notification system. Additionally, a suggestion generation system generates alternative suggestions for the similar sections, which are then presented to the user via a display system. This allows the user to safely re-enter the corrected information and receive final evaluation.

[0507] This system enables rapid response because all processes are linked via cloud communication. On the client side, common devices (e.g., smartphones, tablets, PCs) can be used, while on the server side, cloud services such as Amazon Web Services (AWS) and Google Cloud are utilized.

[0508] As a concrete example, suppose a user unknowingly quotes a portion of a popular book while creating a blog post. In this case, the system will identify the passage and suggest an alternative expression, saying, "This section is similar to another work. How about using the following expression?"

[0509] Examples of prompts for generative AI models:

[0510] "Identify documents similar to the current article and propose alternatives. Generate new text that does not infringe on copyright."

[0511] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0512] Step 1:

[0513] The user inputs content created using the device. The input data is in text format, and the device sends it to a server in a cloud environment. At this point, the input is the user's original text.

[0514] Step 2:

[0515] The server starts up the information processing device and compares the received text data with the intellectual property database. The comparison is performed using a natural language processing algorithm. Specifically, the document is vectorized and a similarity score is calculated. If the similarity score exceeds a certain threshold, an index of similar sections is obtained as output.

[0516] Step 3:

[0517] Based on the analysis results, the server sends a warning to the user using a notification system. The input here is the information on similar locations obtained in step 2, and the output is a warning message to the user. The warning message includes a similarity score and specific phrases.

[0518] Step 4:

[0519] The server uses a suggestion generation mechanism to generate alternative suggestions for the detected similar sections. The inputs are the similar sections identified in step 2 and the generation AI model stored on the server. The output is information containing alternative expressions. This presents the user with new wording candidates.

[0520] Step 5:

[0521] The server presents specific alternatives to the user through a display mechanism. The user can then view these on their terminal. Specifically, this includes a function in the user interface to display the suggested alternatives as a pop-up or sidebar.

[0522] Step 6:

[0523] The user adopts or modifies an alternative and re-enters the modified information. The newly entered data is sent back to the server, which re-evaluates this new information. The re-evaluation results are generated through the same process as in step 2. The output is a confirmation that the modifications were made correctly.

[0524] 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.

[0525] This invention is a system for securely publishing user-generated documents, and is characterized by its configuration that incorporates an emotion engine that recognizes the user's emotions, in addition to a data processing device that analyzes the content of the document. A specific example of this system is shown below.

[0526] The user inputs a document using a terminal and sends it to the server. The server analyzes the received document using a data processing device and assesses the risk of copyright infringement. In this process, the analysis device compares the document data with a database of existing copyrighted works and identifies sections that may infringe the rights of third parties by detecting similarities.

[0527] On the other hand, the emotion engine analyzes the user's emotional state in real time in conjunction with user input. This analysis allows for evaluation of the user's emotional response to presented alternatives and warnings. Specifically, it acquires emotional data through voice interfaces and facial recognition via cameras.

[0528] Based on the detected emotional state, the server adjusts how alternatives are presented to match the user's emotions. For example, if the emotion engine determines that the user is confused, it can explain the alternatives more carefully and present multiple options.

[0529] The user reviews the notification and resubmits the document if necessary, making any necessary corrections. The server then re-checks the corrected document and performs security checks, ultimately ensuring that the user can confidently publish the document.

[0530] For example, if a well-known character's name is mistakenly used in a novel, the server will issue a warning. If the emotion engine detects that the user's stress level is high, it will generate more detailed and user-friendly alternative suggestions. In this way, the system improves the user experience while efficiently avoiding copyright risks.

[0531] The following describes the processing flow.

[0532] Step 1:

[0533] The user uses a terminal to input a document they have written. The terminal then prepares to send the entered document data to the server.

[0534] Step 2:

[0535] The device sends document data to the server. The data is transferred to the server using a secure method.

[0536] Step 3:

[0537] The server receives document data, which is then analyzed by a data processing device. The analysis is used to evaluate whether the document content may infringe on the copyright of existing works.

[0538] Step 4:

[0539] The server identifies areas at risk of copyright infringement based on the analysis results. This information is then compiled and prepared for the next notification step.

[0540] Step 5:

[0541] The emotion engine analyzes the user's emotions in real time. It uses audio and video data to assess the emotions the user is experiencing.

[0542] Step 6:

[0543] The server notifies the user of identified copyright infringement risks. The notification includes the specific problematic areas and their details.

[0544] Step 7:

[0545] The emotion engine uses the user's emotions to guide the server in adjusting how alternatives are presented. For example, if the user is stressed, the suggestions will be presented in a more easily understandable format.

[0546] Step 8:

[0547] The server generates appropriate alternatives based on the sentiment analysis results and informs the user. It may present multiple options at once.

[0548] Step 9:

[0549] The user reviews the notification and alternative suggestions through their device and revises the document at their own discretion. Once the revisions are complete, they resubmit the document to the server.

[0550] Step 10:

[0551] The terminal sends the corrected document to the server. The server re-analyzes the changes and verifies that the problem has been resolved.

[0552] Step 11:

[0553] The server performs a final check and notifies the user that all issues have been resolved. This allows the user to safely publish their document.

[0554] (Example 2)

[0555] 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."

[0556] In today's information society, there is a need to address the risks of copyright infringement associated with document creation and publication, as well as the potential for misunderstandings of information received by users. Furthermore, there is a lack of systems that can provide flexible and considerate responses to user concerns when issuing warnings or offering alternatives related to document risks.

[0557] 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.

[0558] In this invention, the server includes an information processing device for analyzing the content of a generated document, an analysis means for comparing the document with an information storage of existing copyrighted works, a warning means for generating warnings for sections where similarity is detected, an alternative proposal generation means for generating alternative expressions, a notification means for supplying relevant information to the user, an emotion estimation means for analyzing the user's emotional state, and a presentation adjustment means for adjusting the presentation of alternative proposals based on the emotional state. This enables safer and more user-friendly document publication by allowing the user to appropriately assess copyright risks and receive alternative proposals tailored to their emotional state.

[0559] An "information processing device" is a device used to analyze the content of a generated document and clarify its characteristics and problems.

[0560] An "information storage facility" refers to a storage medium where data of existing copyrighted works is stored, and it is a database used for comparing document content.

[0561] "Analysis means" refers to a technique that compares documents with data stored in an information repository, detects similarities, and identifies problematic areas.

[0562] A "warning mechanism" refers to a method or system for presenting a warning to the user regarding areas where similarity has been detected through analysis.

[0563] "Alternative solution generation methods" are technologies for generating different expressions or options in order to improve problematic sections within a document.

[0564] A "notification system" is a system that provides users with warnings, alternatives, and other necessary information.

[0565] "Emotion inference methods" are technologies that analyze a user's emotional state from their voice, facial expressions, etc., and evaluate that state.

[0566] "Presentation adjustment means" refers to a technology that adjusts the method of presenting alternatives based on the detected emotional state of the user.

[0567] This section describes the modes for carrying out the invention.

[0568] This system allows users to securely publish documents and involves a series of processes performed by the server, terminal, and user. The server uses information processing equipment to analyze the content of the generated document. The analysis utilizes natural language processing technology and generative AI models, which tokenize the text in the document and compare it to an information repository where existing copyrighted works are stored. If similarity is detected as a result of the comparison, the user is presented with a warning through a warning mechanism.

[0569] The server also incorporates emotion inference capabilities, analyzing the voice and facial expressions captured during user input. This allows it to grasp the user's emotional state in real time and present emotionally sensitive alternatives using presentation adjustment mechanisms. If the user is confused, the server carefully explains the alternatives to help the user understand the situation and make appropriate corrections.

[0570] As a concrete example, consider a case where a character name similar to one in an existing work is mistakenly used in a novel. The server can issue a warning, and if it determines that the user is experiencing stress, it can offer several specific alternatives for changing the character name. This allows the user to confidently proceed with preparing the document for publication.

[0571] When using a generative AI model, you can use prompts like the following: "Analyze the following document from a copyright perspective, identify any problematic areas, and suggest alternatives as needed." This prompt will prompt the system to perform document analysis and generate alternatives.

[0572] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0573] Step 1: The user enters the document on the terminal and presses the send button to send the document data to the server. The input is a text document written by the user, and the output is that document sent to the server. Specifically, the user enters the document using a dedicated application or web interface on the terminal.

[0574] Step 2: The server transfers the received document to the information processing device and starts analyzing the document content using a generative AI model. The input is the document submitted by the user, and the output is the tokenized data of the document and the analysis results. In this process, natural language processing techniques are used to subdivide the document data and generate the basic data for analysis.

[0575] Step 3: The server compares the document analysis results with the information repository where the existing copyrighted work is stored and detects similarities. The input is the tokenized document data and the contents of the copyrighted work database, and the output is the detected similarities and their specific locations. Specifically, the server executes a comparison algorithm with the existing database.

[0576] Step 4: The server generates a warning based on the analysis and notifies the user. The input here is information about similar locations, and the output is the warning message presented to the user. Specifically, the server summarizes the detected problems and converts them into a format that is easy for the user to understand.

[0577] Step 5: The server analyzes the user's emotional state in real time using emotion estimation tools. The input is the user's voice data and facial expression data collected through the terminal, and the output is the estimated emotional state of the user. Based on this data, the server performs an operation to estimate changes in the user's emotions.

[0578] Step 6: The server adjusts the method of presenting alternatives according to the user's emotional state and sends specific suggestions to the user using the alternative generation mechanism. The input here is the emotion analysis results and the problematic parts of the document, and the output is the presentation of the adjusted alternatives. Specifically, it generates suggestions that include appropriate words and phrases that match the user's emotions.

[0579] Step 7: The user revises the document based on the information provided and resubmits it to the server. The input is the feedback from the server and the user's revised document, and the output is the revised document data. The user operates the terminal to edit the document and submits the revised version by pressing the new submit button.

[0580] (Application Example 2)

[0581] 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."

[0582] In modern electronic payment services, ensuring users can conduct transactions safely and without anxiety requires constant monitoring of transaction security risks and appropriate support tailored to the user's emotional state. However, conventional systems have been insufficient in identifying user emotions in real time and dynamically adjusting responses based on those emotions.

[0583] 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.

[0584] In this invention, the server includes an information processing device for analyzing the content of a generated document, an analysis means for comparing the document with an information set of existing copyrighted works, and an emotion recognition means for detecting the user's emotional state. This enables real-time determination of the user's emotions, confirmation of transaction security, and flexible support tailored to the user's situation.

[0585] An "information processing device" is a device used to handle generated documents and data, and to perform analysis and calculations on them.

[0586] An "information set" refers to a series of data, such as a database, that contains existing copyrighted works.

[0587] "Analysis tools" refer to methods and functions for comparing and analyzing documents and information sets to identify specific patterns or conflicts.

[0588] A "warning mechanism" is a function that alerts the user to detected collisions or problems.

[0589] An "alternative solution generation mechanism" is a function that generates a new expression to replace a document when the original document contains problems.

[0590] "Notification means" refers to methods or functions for conveying information to users.

[0591] "Emotion recognition means" refers to methods and functions for detecting and analyzing a user's emotional state.

[0592] "Adaptive measures" refer to functions that adjust the alternatives and support methods provided based on the user's emotional state.

[0593] The system of this invention enables users to conduct transactions safely and securely in electronic payment services. The system includes the following main elements:

[0594] The server uses an information processing device to analyze transaction data entered by the user and compares it with existing data sets. If a transaction may be related to fraudulent activity, the server notifies the user through a warning system.

[0595] Furthermore, the user's device is equipped with emotion recognition capabilities that detect emotions in real time from the user's facial expressions and voice, and send that data to the server. Emotion recognition uses a camera and microphone, and the software used is OpenCV or TensorFlow.

[0596] Based on the received sentiment data, the server uses adaptive mechanisms to provide alternative transaction options and supplementary information tailored to the user's emotional state. This process allows users to complete electronic transactions safely without experiencing anxiety or misunderstandings.

[0597] As a concrete example, if a user attempts to purchase an expensive item from an online store and expresses anxiety during the transaction, the system will immediately detect this. It will then provide additional steps to verify the security of the purchase and take measures to reassure the user.

[0598] An example of a prompt message is: "Analyze the user's stress level from their facial expressions and voice, and assess the risks during electronic payment. If a significant risk is detected, generate a message suggesting a reassuring alternative."

[0599] Thus, the system of the present invention aims to provide users with a personalized, safe, and comfortable trading experience by utilizing a generative AI model.

[0600] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0601] Step 1:

[0602] The user uses a terminal to enter payment data for the item they intend to purchase. The terminal sends this information to the server. The server analyzes the received transaction data and compares it to an existing set of information to identify potential fraudulent activity. The input is the transaction data, and the output is the analysis results.

[0603] Step 2:

[0604] The device uses a built-in emotion recognition system to collect emotional data in real time from the user's facial expressions and voice. For this process, the device utilizes a camera and microphone to analyze emotions using a TensorFlow model. The input is the user's facial expressions and voice, and the output is data indicating the emotional state.

[0605] Step 3:

[0606] The device sends emotional data to the server. The server analyzes the emotional data and evaluates whether the user is showing anxiety or confusion. This data is used with adaptive tools to help guide the transaction and suggest alternative methods. The input is emotional data, and the output is the evaluation result of the user's emotions.

[0607] Step 4:

[0608] The server activates a generative AI model to generate optimal alternatives based on the analysis results of transaction data and the user's sentiment evaluation. Using appropriate prompts, the generative AI model generates content. The input is transaction data and sentiment evaluation results, and the output is personalized alternatives and supplementary information.

[0609] Step 5:

[0610] The server sends the generated alternatives and supplementary information to the terminal. The user receives the presented information and proceeds with the transaction with confidence. Specifically, the terminal notifies the user of the information, and the user confirms the explanation and suggestions. The input is the generated alternatives, and the output is the notification to the user.

[0611] 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.

[0612] 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.

[0613] 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.

[0614] [Fourth Embodiment]

[0615] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0616] 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.

[0617] 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).

[0618] 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.

[0619] 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.

[0620] 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).

[0621] 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.

[0622] 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.

[0623] 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.

[0624] 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.

[0625] 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.

[0626] 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.

[0627] 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".

[0628] This invention relates to a system for reducing the risk of copyright infringement of generated documents, and the system primarily operates around a data processing device. Specific examples are shown below.

[0629] The user initiates the analysis process by inputting a document they have written from their terminal. The terminal sends this document data to the server. The server receives the data and uses its internal data processing equipment to perform an analysis to compare the document with an existing copyright database. This evaluates how similar the text in the document is to other copyrighted works.

[0630] If similarity is detected, the server will notify the user using a warning mechanism. This notification will indicate which parts of the document pose a risk of copyright infringement. Furthermore, the server will use an alternative generation mechanism to automatically generate alternative expressions for the problematic expressions.

[0631] Users can review these notifications and suggested alternatives on their devices and revise their documents as needed. In addition, users can resubmit the revised document to the server for further checks. At this stage, the server re-evaluates the document to verify that the revisions were made correctly. If the issues are resolved, users can then safely prepare to publish their documents.

[0632] For example, if a user mistakenly uses the name of a famous character in a novel, the server will issue a warning notification and suggest alternative names to support the user in correcting the mistake. In this way, the present invention provides a practical solution that allows users to continue creating with peace of mind.

[0633] The following describes the processing flow.

[0634] Step 1:

[0635] The user inputs a document they have written themselves into the terminal. Once input is complete, the terminal prepares to send the data to the server.

[0636] Step 2:

[0637] The terminal sends document data to the server. The data is securely transferred to the server.

[0638] Step 3:

[0639] The server provides the received document data to the analysis means. The analysis means compares the document text with an existing copyright database and evaluates the similarity.

[0640] Step 4:

[0641] Based on the analysis results, the server identifies portions of the document that are suspected of copyright infringement. For the identified portions, it then compiles risk information.

[0642] Step 5:

[0643] The server sends a notification to the user via a warning system, informing them of the risk of intrusion. This notification includes specific locations and details so that the user can identify the problematic areas.

[0644] Step 6:

[0645] The server uses an alternative solution generation mechanism to automatically generate proposed corrections for the identified issues. The generated alternative solutions are also notified to the user.

[0646] Step 7:

[0647] The user reviews the notification content and alternative suggestions via their device and revises the document based on their own judgment. They then save the revised document and prepare to resubmit it to the server.

[0648] Step 8:

[0649] The terminal resends the corrected document to the server. This is a process to verify that the changes have been correctly reflected.

[0650] Step 9:

[0651] The server re-analyzes the corrected document to confirm that the risk of copyright infringement has been eliminated. If all issues are resolved, the user is notified that there are no problems.

[0652] Step 10:

[0653] Users can check notifications from the server and begin the process of securely publishing their documents. This allows users to engage in creative activities with greater peace of mind.

[0654] (Example 1)

[0655] 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".

[0656] With the proliferation of digital content, unintentional similarities between original documents and existing copyrighted works are becoming more frequent. In such cases, the risk of copyright infringement increases, potentially causing problems with the publication or distribution of documents. Therefore, it is necessary to efficiently manage copyright risks during the document creation process and ensure the safe publication of documents.

[0657] 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.

[0658] In this invention, the server includes an information processing device means for analyzing data, an analysis means for comparing document data with an existing information collection, and a warning means for identifying conflicts and generating warnings. This allows users to immediately identify potential copyright issues while creating documents and quickly make necessary corrections.

[0659] An "information processing device for data analysis" is a computer system that processes input data and extracts or evaluates specific information.

[0660] "Analysis means" refers to software or hardware functions that compare document data with existing information sets to clarify their similarities and differences.

[0661] A "warning mechanism" is a notification system designed to inform users of potential problems or risks.

[0662] "Alternatives" refers to a function that generates new suggestions for replacing problematic expressions with other expressions.

[0663] "Transmission means" refers to a means of communication or an interface for providing processed information to a user.

[0664] "Processing means" refers to system functions for receiving, re-evaluating, and performing necessary processing on data.

[0665] This invention is an information processing system that manages the copyright risks of user-created documents and supports their secure publication. The system primarily functions by combining a server and terminals.

[0666] Users input documents using a terminal. This information is typically created using a text editor or word processing software. The terminal is responsible for sending the entered document data to the server. Data transmission is secure using the HTTP protocol and encrypted with SSL / TLS.

[0667] The server analyzes the received document data. This involves the use of information processing equipment, including document analysis software and similarity assessment algorithms. Specifically, algorithms using SimHash and Jaccard coefficients compare the document with existing information sets. If the analysis determines there is a copyright risk, the server uses warning mechanisms to send a notification to the user. The notification outlines recommended changes and is provided via email or in-app message.

[0668] Furthermore, the server uses alternative methods to generate suggestions for replacing the content with safer expressions. This process is carried out using a generative AI model. An example of a specific prompt might be, "Please check if a particular expression in this text is copyright-infringing and suggest a safe alternative."

[0669] Users can revise their documents based on this information and resubmit them from their devices for re-evaluation. The server rechecks the revised documents to ensure that risks are properly managed. If there are no problems, the user is then ready to safely publish the document.

[0670] Thus, this system provides a practical means for users to effectively manage copyright-related risks while engaging in creative activities with peace of mind.

[0671] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0672] Step 1:

[0673] The user inputs the document using a terminal. They use a text editor or word processing software to write the necessary content. The entered document data is saved digitally for later processing. The output is the prepared document data.

[0674] Step 2:

[0675] The terminal sends document data entered by the user to the server. The input here is document data stored on the terminal, while the output is digital data securely transferred to the server. This data transfer uses the HTTP protocol and SSL / TLS encryption.

[0676] Step 3:

[0677] The server analyzes the received document data. Here, an information processing device and analysis means are driven to perform the data analysis. The input is the document data stored on the server, and the output is the similarity evaluation result of the information extracted from the document data. This result is calculated using algorithms such as SimHash and Jaccard coefficients.

[0678] Step 4:

[0679] The server generates a warning based on the evaluation results. The input is the similarity evaluation result, and the output is a notification message containing the warning. The server sends a notification to the user via email or in-app message to inform them about the identified problem areas.

[0680] Step 5:

[0681] The server generates alternatives for the problematic areas. In this step, a generative AI model is used to generate correction suggestions based on the specified prompt sentences. The input is the text of the identified problematic areas, and the output is a list of safe alternatives.

[0682] Step 6:

[0683] The user uses their terminal to review notifications and alternatives from the server and revise the document. Here, they manually revise the document, referring to the sections indicated in the warnings. The revised document data is saved as output.

[0684] Step 7:

[0685] The user resubmits the revised document from their terminal to the server for re-evaluation. The input is the document data revised by the user, and the output is the digital data that has been transferred back to the server.

[0686] Step 8:

[0687] The server analyzes and re-evaluates the resubmitted document. The input to this process is the modified document data, and the output is the result of the final copyright risk assessment. If the risks are properly managed, the final assessment is notified to the user.

[0688] Through this process, users can create and publish documents safely while managing copyright risks.

[0689] (Application Example 1)

[0690] 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".

[0691] The challenge lies in reducing the risk of copyright infringement caused by content creators unknowingly using similar expressions to existing works, and in providing an environment where content can be safely published. In particular, rapid correction and re-evaluation are required in content distribution services.

[0692] 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.

[0693] In this invention, the server includes an information processing device for analyzing the content of generated information, an analysis means for comparing the information with a database of existing intellectual property, a notification means for generating notifications for sections where similarity is detected, a draft generation means for generating alternative text, a display means for providing the relevant information to the user, and a communication means for executing the above functions on a cloud environment. This enables content creators to create and publish content safely and efficiently while avoiding copyright infringement.

[0694] An "information processing device" is a computer device used to analyze the content of generated information and compare it with other information.

[0695] "Information" refers to documents and content created by users, and is the data that is subject to analysis.

[0696] An "intellectual property database" is a database system that stores existing copyrighted works and patent information, and is used for searching and comparing them.

[0697] An "analysis tool" is a system that has the function of comparing information and intellectual property databases and evaluating their similarity.

[0698] A "notification method" refers to a communication function used to send warnings and information to users based on analysis results.

[0699] A "proposal generation method" is a function that generates alternative expressions or content for sections where similarity is detected.

[0700] A "display means" is an interface that provides users with analysis results and alternative solutions visually.

[0701] "Communication means" refers to network functions that send and receive information on a cloud environment and link various functions together.

[0702] Modes for carrying out the invention

[0703] This invention is a system that allows content creators to reduce the risk of copyright infringement and safely publish their content. The server operates in the following manner:

[0704] First, the user creates content and inputs it from their device. The device then transfers this information to a server in a cloud environment. The server uses an information processing device to analyze the transmitted information. Specifically, it uses analysis tools to compare the information with a database of intellectual property and evaluate its similarity.

[0705] If similarity is detected, the server sends a warning to the user via a notification system. Additionally, a suggestion generation system generates alternative suggestions for the similar sections, which are then presented to the user via a display system. This allows the user to safely re-enter the corrected information and receive final evaluation.

[0706] This system enables rapid response because all processes are linked via cloud communication. On the client side, common devices (e.g., smartphones, tablets, PCs) can be used, while on the server side, cloud services such as Amazon Web Services (AWS) and Google Cloud are utilized.

[0707] As a concrete example, suppose a user unknowingly quotes a portion of a popular book while creating a blog post. In this case, the system will identify the passage and suggest an alternative expression, saying, "This section is similar to another work. How about using the following expression?"

[0708] Examples of prompts for generative AI models:

[0709] "Identify documents similar to the current article and propose alternatives. Generate new text that does not infringe on copyright."

[0710] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0711] Step 1:

[0712] The user inputs content created using the device. The input data is in text format, and the device sends it to a server in a cloud environment. At this point, the input is the user's original text.

[0713] Step 2:

[0714] The server starts up the information processing device and compares the received text data with the intellectual property database. The comparison is performed using a natural language processing algorithm. Specifically, the document is vectorized and a similarity score is calculated. If the similarity score exceeds a certain threshold, an index of similar sections is obtained as output.

[0715] Step 3:

[0716] Based on the analysis results, the server sends a warning to the user using a notification system. The input here is the information on similar locations obtained in step 2, and the output is a warning message to the user. The warning message includes a similarity score and specific phrases.

[0717] Step 4:

[0718] The server uses a suggestion generation mechanism to generate alternative suggestions for the detected similar sections. The inputs are the similar sections identified in step 2 and the generation AI model stored on the server. The output is information containing alternative expressions. This presents the user with new wording candidates.

[0719] Step 5:

[0720] The server presents specific alternatives to the user through a display mechanism. The user can then view these on their terminal. Specifically, this includes a function in the user interface to display the suggested alternatives as a pop-up or sidebar.

[0721] Step 6:

[0722] The user adopts or modifies an alternative and re-enters the modified information. The newly entered data is sent back to the server, which re-evaluates this new information. The re-evaluation results are generated through the same process as in step 2. The output is a confirmation that the modifications were made correctly.

[0723] 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.

[0724] This invention is a system for securely publishing user-generated documents, and is characterized by its configuration that incorporates an emotion engine that recognizes the user's emotions, in addition to a data processing device that analyzes the content of the document. A specific example of this system is shown below.

[0725] The user inputs a document using a terminal and sends it to the server. The server analyzes the received document using a data processing device and assesses the risk of copyright infringement. In this process, the analysis device compares the document data with a database of existing copyrighted works and identifies sections that may infringe the rights of third parties by detecting similarities.

[0726] On the other hand, the emotion engine analyzes the user's emotional state in real time in conjunction with user input. This analysis allows for evaluation of the user's emotional response to presented alternatives and warnings. Specifically, it acquires emotional data through voice interfaces and facial recognition via cameras.

[0727] Based on the detected emotional state, the server adjusts how alternatives are presented to match the user's emotions. For example, if the emotion engine determines that the user is confused, it can explain the alternatives more carefully and present multiple options.

[0728] The user reviews the notification and resubmits the document if necessary, making any necessary corrections. The server then re-checks the corrected document and performs security checks, ultimately ensuring that the user can confidently publish the document.

[0729] For example, if a well-known character's name is mistakenly used in a novel, the server will issue a warning. If the emotion engine detects that the user's stress level is high, it will generate more detailed and user-friendly alternative suggestions. In this way, the system improves the user experience while efficiently avoiding copyright risks.

[0730] The following describes the processing flow.

[0731] Step 1:

[0732] The user uses a terminal to input a document they have written. The terminal then prepares to send the entered document data to the server.

[0733] Step 2:

[0734] The device sends document data to the server. The data is transferred to the server using a secure method.

[0735] Step 3:

[0736] The server receives document data, which is then analyzed by a data processing device. The analysis is used to evaluate whether the document content may infringe on the copyright of existing works.

[0737] Step 4:

[0738] The server identifies areas at risk of copyright infringement based on the analysis results. This information is then compiled and prepared for the next notification step.

[0739] Step 5:

[0740] The emotion engine analyzes the user's emotions in real time. It uses audio and video data to assess the emotions the user is experiencing.

[0741] Step 6:

[0742] The server notifies the user of identified copyright infringement risks. The notification includes the specific problematic areas and their details.

[0743] Step 7:

[0744] The emotion engine uses the user's emotions to guide the server in adjusting how alternatives are presented. For example, if the user is stressed, the suggestions will be presented in a more easily understandable format.

[0745] Step 8:

[0746] The server generates appropriate alternatives based on the sentiment analysis results and informs the user. It may present multiple options at once.

[0747] Step 9:

[0748] The user reviews the notification and alternative suggestions through their device and revises the document at their own discretion. Once the revisions are complete, they resubmit the document to the server.

[0749] Step 10:

[0750] The terminal sends the corrected document to the server. The server re-analyzes the changes and verifies that the problem has been resolved.

[0751] Step 11:

[0752] The server performs a final check and notifies the user that all issues have been resolved. This allows the user to safely publish their document.

[0753] (Example 2)

[0754] 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".

[0755] In today's information society, there is a need to address the risks of copyright infringement associated with document creation and publication, as well as the potential for misunderstandings of information received by users. Furthermore, there is a lack of systems that can provide flexible and considerate responses to user concerns when issuing warnings or offering alternatives related to document risks.

[0756] 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.

[0757] In this invention, the server includes an information processing device for analyzing the content of a generated document, an analysis means for comparing the document with an information storage of existing copyrighted works, a warning means for generating warnings for sections where similarity is detected, an alternative proposal generation means for generating alternative expressions, a notification means for supplying relevant information to the user, an emotion estimation means for analyzing the user's emotional state, and a presentation adjustment means for adjusting the presentation of alternative proposals based on the emotional state. This enables safer and more user-friendly document publication by allowing the user to appropriately assess copyright risks and receive alternative proposals tailored to their emotional state.

[0758] An "information processing device" is a device used to analyze the content of a generated document and clarify its characteristics and problems.

[0759] An "information storage facility" refers to a storage medium where data of existing copyrighted works is stored, and it is a database used for comparing document content.

[0760] "Analysis means" refers to a technique that compares documents with data stored in an information repository, detects similarities, and identifies problematic areas.

[0761] A "warning mechanism" refers to a method or system for presenting a warning to the user regarding areas where similarity has been detected through analysis.

[0762] "Alternative solution generation methods" are technologies for generating different expressions or options in order to improve problematic sections within a document.

[0763] A "notification system" is a system that provides users with warnings, alternatives, and other necessary information.

[0764] "Emotion inference methods" are technologies that analyze a user's emotional state from their voice, facial expressions, etc., and evaluate that state.

[0765] "Presentation adjustment means" refers to a technology that adjusts the method of presenting alternatives based on the detected emotional state of the user.

[0766] This section describes the modes for carrying out the invention.

[0767] This system allows users to securely publish documents and involves a series of processes performed by the server, terminal, and user. The server uses information processing equipment to analyze the content of the generated document. The analysis utilizes natural language processing technology and generative AI models, which tokenize the text in the document and compare it to an information repository where existing copyrighted works are stored. If similarity is detected as a result of the comparison, the user is presented with a warning through a warning mechanism.

[0768] The server also incorporates emotion inference capabilities, analyzing the voice and facial expressions captured during user input. This allows it to grasp the user's emotional state in real time and present emotionally sensitive alternatives using presentation adjustment mechanisms. If the user is confused, the server carefully explains the alternatives to help the user understand the situation and make appropriate corrections.

[0769] As a concrete example, consider a case where a character name similar to one in an existing work is mistakenly used in a novel. The server can issue a warning, and if it determines that the user is experiencing stress, it can offer several specific alternatives for changing the character name. This allows the user to confidently proceed with preparing the document for publication.

[0770] When using a generative AI model, you can use prompts like the following: "Analyze the following document from a copyright perspective, identify any problematic areas, and suggest alternatives as needed." This prompt will prompt the system to perform document analysis and generate alternatives.

[0771] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0772] Step 1: The user enters the document on the terminal and presses the send button to send the document data to the server. The input is a text document written by the user, and the output is that document sent to the server. Specifically, the user enters the document using a dedicated application or web interface on the terminal.

[0773] Step 2: The server transfers the received document to the information processing device and starts analyzing the document content using a generative AI model. The input is the document submitted by the user, and the output is the tokenized data of the document and the analysis results. In this process, natural language processing techniques are used to subdivide the document data and generate the basic data for analysis.

[0774] Step 3: The server compares the document analysis results with the information repository where the existing copyrighted work is stored and detects similarities. The input is the tokenized document data and the contents of the copyrighted work database, and the output is the detected similarities and their specific locations. Specifically, the server executes a comparison algorithm with the existing database.

[0775] Step 4: The server generates a warning based on the analysis and notifies the user. The input here is information about similar locations, and the output is the warning message presented to the user. Specifically, the server summarizes the detected problems and converts them into a format that is easy for the user to understand.

[0776] Step 5: The server analyzes the user's emotional state in real time using emotion estimation tools. The input is the user's voice data and facial expression data collected through the terminal, and the output is the estimated emotional state of the user. Based on this data, the server performs an operation to estimate changes in the user's emotions.

[0777] Step 6: The server adjusts the method of presenting alternatives according to the user's emotional state and sends specific suggestions to the user using the alternative generation mechanism. The input here is the emotion analysis results and the problematic parts of the document, and the output is the presentation of the adjusted alternatives. Specifically, it generates suggestions that include appropriate words and phrases that match the user's emotions.

[0778] Step 7: The user revises the document based on the information provided and resubmits it to the server. The input is the feedback from the server and the user's revised document, and the output is the revised document data. The user operates the terminal to edit the document and submits the revised version by pressing the new submit button.

[0779] (Application Example 2)

[0780] 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".

[0781] In modern electronic payment services, ensuring users can conduct transactions safely and without anxiety requires constant monitoring of transaction security risks and appropriate support tailored to the user's emotional state. However, conventional systems have been insufficient in identifying user emotions in real time and dynamically adjusting responses based on those emotions.

[0782] 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.

[0783] In this invention, the server includes an information processing device for analyzing the content of a generated document, an analysis means for comparing the document with an information set of existing copyrighted works, and an emotion recognition means for detecting the user's emotional state. This enables real-time determination of the user's emotions, confirmation of transaction security, and flexible support tailored to the user's situation.

[0784] An "information processing device" is a device used to handle generated documents and data, and to perform analysis and calculations on them.

[0785] An "information set" refers to a series of data, such as a database, that contains existing copyrighted works.

[0786] "Analysis tools" refer to methods and functions for comparing and analyzing documents and information sets to identify specific patterns or conflicts.

[0787] A "warning mechanism" is a function that alerts the user to detected collisions or problems.

[0788] An "alternative solution generation mechanism" is a function that generates a new expression to replace a document when the original document contains problems.

[0789] "Notification means" refers to methods or functions for conveying information to users.

[0790] "Emotion recognition means" refers to methods and functions for detecting and analyzing a user's emotional state.

[0791] "Adaptive measures" refer to functions that adjust the alternatives and support methods provided based on the user's emotional state.

[0792] The system of this invention enables users to conduct transactions safely and securely in electronic payment services. The system includes the following main elements:

[0793] The server uses an information processing device to analyze transaction data entered by the user and compares it with existing data sets. If a transaction may be related to fraudulent activity, the server notifies the user through a warning system.

[0794] Furthermore, the user's device is equipped with emotion recognition capabilities that detect emotions in real time from the user's facial expressions and voice, and send that data to the server. Emotion recognition uses a camera and microphone, and the software used is OpenCV or TensorFlow.

[0795] Based on the received sentiment data, the server uses adaptive mechanisms to provide alternative transaction options and supplementary information tailored to the user's emotional state. This process allows users to complete electronic transactions safely without experiencing anxiety or misunderstandings.

[0796] As a concrete example, if a user attempts to purchase an expensive item from an online store and expresses anxiety during the transaction, the system will immediately detect this. It will then provide additional steps to verify the security of the purchase and take measures to reassure the user.

[0797] An example of a prompt message is: "Analyze the user's stress level from their facial expressions and voice, and assess the risks during electronic payment. If a significant risk is detected, generate a message suggesting a reassuring alternative."

[0798] Thus, the system of the present invention aims to provide users with a personalized, safe, and comfortable trading experience by utilizing a generative AI model.

[0799] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0800] Step 1:

[0801] The user uses a terminal to enter payment data for the item they intend to purchase. The terminal sends this information to the server. The server analyzes the received transaction data and compares it to an existing set of information to identify potential fraudulent activity. The input is the transaction data, and the output is the analysis results.

[0802] Step 2:

[0803] The device uses a built-in emotion recognition system to collect emotional data in real time from the user's facial expressions and voice. For this process, the device utilizes a camera and microphone to analyze emotions using a TensorFlow model. The input is the user's facial expressions and voice, and the output is data indicating the emotional state.

[0804] Step 3:

[0805] The device sends emotional data to the server. The server analyzes the emotional data and evaluates whether the user is showing anxiety or confusion. This data is used with adaptive tools to help guide the transaction and suggest alternative methods. The input is emotional data, and the output is the evaluation result of the user's emotions.

[0806] Step 4:

[0807] The server activates a generative AI model to generate optimal alternatives based on the analysis results of transaction data and the user's sentiment evaluation. Using appropriate prompts, the generative AI model generates content. The input is transaction data and sentiment evaluation results, and the output is personalized alternatives and supplementary information.

[0808] Step 5:

[0809] The server sends the generated alternatives and supplementary information to the terminal. The user receives the presented information and proceeds with the transaction with confidence. Specifically, the terminal notifies the user of the information, and the user confirms the explanation and suggestions. The input is the generated alternatives, and the output is the notification to the user.

[0810] 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.

[0811] 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.

[0812] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0813] 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.

[0814] 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.

[0815] 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.

[0816] 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.

[0817] 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.

[0818] 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."

[0819] 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.

[0820] 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.

[0821] 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.

[0822] 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.

[0823] 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.

[0824] 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.

[0825] 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.

[0826] 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.

[0827] 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.

[0828] 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.

[0829] 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.

[0830] 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 to be incorporated by reference.

[0831] The following is further disclosed regarding the embodiments described above.

[0832] (Claim 1)

[0833] A data processing device for analyzing the contents of the generated document,

[0834] An analytical means for comparing documents with databases of existing copyrighted works,

[0835] A warning means for generating a warning for the location where a collision is detected,

[0836] A means for generating alternative expressions,

[0837] A notification method for providing relevant information to the user,

[0838] A system that includes this.

[0839] (Claim 2)

[0840] The system according to claim 1, comprising means for allowing a user to adopt an alternative or modify and re-enter the document.

[0841] (Claim 3)

[0842] The system according to claim 1, comprising means for re-checking to re-evaluate the final version of a document.

[0843] "Example 1"

[0844] (Claim 1)

[0845] An information processing device that performs data analysis,

[0846] An analytical means for comparing document data with existing information collections,

[0847] A warning mechanism for identifying conflicts and generating warnings,

[0848] Alternative means of generating proposals for changing the expression,

[0849] A means of communication for providing relevant information to users,

[0850] Processing means for receiving and re-evaluating document data,

[0851] A system that includes this.

[0852] (Claim 2)

[0853] The system according to claim 1, comprising means that enables a user to resend document data reflecting a proposed alternative expression.

[0854] (Claim 3)

[0855] The system according to claim 1, further comprising means for re-evaluating the final content of a document.

[0856] "Application Example 1"

[0857] (Claim 1)

[0858] An information processing device for analyzing the content of the generated information,

[0859] An analytical means for comparing information with existing intellectual property databases,

[0860] A notification means for generating notifications for locations where similarity has been detected,

[0861] A means for generating alternative texts,

[0862] A means of displaying relevant information to the user,

[0863] A communication means for executing the above function on a cloud environment,

[0864] A system that includes this.

[0865] (Claim 2)

[0866] The system according to claim 1, comprising means for allowing a user to adopt or modify a proposal and re-enter the information.

[0867] (Claim 3)

[0868] The system according to claim 1, comprising a re-check function for re-evaluating the final version of the information.

[0869] "Example 2 of combining an emotion engine"

[0870] (Claim 1)

[0871] An information processing device for analyzing the contents of a generated document,

[0872] An analytical means for comparing documents with existing copyright information storage,

[0873] A warning means for generating warnings for locations where similarity has been detected,

[0874] A means for generating alternative expressions,

[0875] A notification means for providing relevant information to the user,

[0876] A means for inferring emotions to analyze the emotional state of a user,

[0877] A means for adjusting the presentation of alternatives based on emotional state,

[0878] A system that includes this.

[0879] (Claim 2)

[0880] The system according to claim 1, comprising means for allowing a user to adopt an alternative or modify and re-enter the document.

[0881] (Claim 3)

[0882] The system according to claim 1, comprising means for re-checking the final version of a document.

[0883] "Application example 2 when combining with an emotional engine"

[0884] (Claim 1)

[0885] An information processing device for analyzing the contents of a generated document,

[0886] An analytical means for comparing the information set of a document with that of an existing copyrighted work,

[0887] A warning means for generating a warning for the location where a collision is detected,

[0888] A means for generating alternative expressions,

[0889] A notification method for providing relevant information to the user,

[0890] An emotion recognition means for detecting the user's emotional state,

[0891] Adaptive means to adjust alternatives according to the user's emotions,

[0892] A system that includes this.

[0893] (Claim 2)

[0894] The system according to claim 1, comprising means for allowing a user to adopt an alternative or modify and re-enter the document.

[0895] (Claim 3)

[0896] The system according to claim 1, comprising means for re-checking the final form of a document. [Explanation of Symbols]

[0897] 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 data processing device for analyzing the contents of the generated document, An analytical means for comparing documents with databases of existing copyrighted works, A warning means for generating a warning for the location where a collision is detected, A means for generating alternative expressions, A notification method for providing relevant information to the user, A system that includes this.

2. The system according to claim 1, further comprising means for allowing the user to adopt or modify an alternative and re-enter the document.

3. The system according to claim 1, comprising means for re-checking to re-evaluate the final version of a document.

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