system

Abstract

We provide the system. [Solution] A means for assigning traceability information to a medium generated through generation information processing, A means for tracking the contribution of the medium using the traceability information, A means of receiving applications for the use of the said medium and presenting the terms of use, A means for granting permission to use the medium and calculating usage fees based on the said terms of use, A means of distributing usage fees based on collected contribution data, 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 persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance as a response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In a medium generated using generation information processing technology, there is a problem that it is difficult for the rights holder and users to use the medium with confidence because its copyright management becomes complicated. In particular, it is difficult to fairly distribute the profits based on the medium, and it is not easy to manage the usage range and period of the generated medium. Against this background, it is required to赋予 traceability to the generated medium and comprehensively manage the usage status and contribution degree.

Means for Solving the Problems

[0005] This invention provides a means for assigning traceability information to media generated through generation information processing and for tracking the contribution of the media based on that information. This means establishes a process for appropriately receiving applications for use of the media, presenting usage conditions, and granting permission for use. Furthermore, it enables the calculation of usage fees based on the usage conditions and the distribution of usage fees based on the collected contribution data. This streamlines the copyright management of the generated media and provides a fair and secure usage environment for both users and rights holders.

[0006] "Generative information processing" is the process of generating new media using artificial intelligence or other computer programs.

[0007] A "medium" refers to an object that is generated, stored, or transmitted as digital information, and in this case, includes images, music, text, etc.

[0008] "Traceability information" refers to identifiable information embedded in the generated medium, and is data used to verify which copyrighted works contributed to what extent.

[0009] "Contribution" is an indicator that shows how much influence each copyrighted work and related copyright information had within the medium in which it was created.

[0010] A "usage application" is an official request made by a user to use a specific medium.

[0011] "Terms of use" refer to the contractual conditions required to use a particular medium, including the scope of use, duration, and fees.

[0012] "Usage fee" refers to the monetary compensation that should be paid for the use of a medium.

[0013] "Distribution" refers to the process of fairly distributing collected usage fees to rights holders and other relevant parties. [Brief explanation of the drawing]

[0014] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It 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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It 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

[0015] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0016] First, the terms used in the following description will be explained.

[0017] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0018] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0019] In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs, various parameters, and the like. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0020] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0021] 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."

[0022] [First Embodiment]

[0023] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0024] 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.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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.

[0030] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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".

[0035] This invention provides a system that enables comprehensive copyright management for media generated using generated information processing. This system is operated through the mutual cooperation of three parties: a server, a terminal, and a user.

[0036] The server executes a generation AI algorithm and generates new media based on specified parameters. The server then adds traceability information to the generated media using digital watermarking and encryption technologies, making it possible to track which copyrighted works contributed to what extent.

[0037] The terminal has the function of relaying user usage requests to the server, receiving the terms of use for the media selected by the user, and presenting them to the user. The terms of use include usage fees, usage period, and scope of use.

[0038] The user agrees to the specified terms of use and pays the usage fee. Once payment is complete, the server approves and grants the user permission to use the media. During the usage period, the server monitors the media usage and verifies that there is no use exceeding the scope or duration of use.

[0039] For example, if a user wants to use an AI-generated music file, the server generates the music and adds the necessary traceability information. The user submits a usage request via their device and is presented with the terms of use for that music file. By agreeing to these terms and paying the usage fee, the user officially begins using the medium.

[0040] Through this series of processes, the present invention ensures the secure management of copyrights to the generated media and enables fair use and revenue sharing.

[0041] The following describes the processing flow.

[0042] Step 1:

[0043] The server performs generation information processing and generates a new medium using the specified input data. Immediately after generation, the server attaches traceability information to the medium using digital watermarking and encryption technologies. This makes it possible to identify which copyrighted works contributed to what extent.

[0044] Step 2:

[0045] Users access the system through their terminals and submit requests to use specific media. The user's request is sent to the server via the terminal. The server receives the request and generates usage conditions related to the media.

[0046] Step 3:

[0047] The terminal receives the terms of use returned from the server and displays them to the user. The terms of use include the usage fee, usage period, scope of use, and license details.

[0048] Step 4:

[0049] The user reviews the presented terms of use and, if they agree, performs the "Agree and Pay" action. The device receives the payment information, processes it securely, and completes the payment.

[0050] Step 5:

[0051] The server receives a payment completion notification from the device and grants permission to use the service to the user's account based on the terms of use. This officially allows the user to use the media.

[0052] Step 6:

[0053] During the usage period, the server monitors media usage in real time. Specifically, it collects data such as the number of uses, device information, and usage time to verify that the scope and duration of use do not exceed the contract terms.

[0054] Step 7:

[0055] Upon the end of the usage period or periodically thereafter, the server analyzes the collected traceability information and distributes royalties based on the contribution of the copyrighted work. The calculated distribution results are reported to the relevant rights holders, and payments are made accordingly.

[0056] (Example 1)

[0057] 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."

[0058] With the increasing volume of digital content, it has become difficult to properly manage the copyrights of generated content and distribute royalties fairly. Furthermore, there is a need to prevent use that deviates from the terms of use and to accurately track the contribution of content. Traditional methods have lacked efficient and reliable means to address these challenges.

[0059] 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.

[0060] In this invention, the server includes means for assigning identification information to digital content generated through generation information processing, means for tracking the contribution of the digital content using the identification information, and means for monitoring the usage of the digital content and confirming the scope and duration of use. This enables comprehensive copyright management and fair royalty distribution for the generated content.

[0061] "Generative information processing" refers to a series of computational processes used to automatically create digital content.

[0062] "Digital content" refers to electronic materials such as music, images, and text created through generative information processing.

[0063] "Identification information" refers to specific information added to digital content that is used to track the content.

[0064] "Contribution" is an indicator that shows the extent to which each copyrighted work influenced the generated digital content.

[0065] "Terms of use" are regulations governing the use of digital content, and include specific conditions such as usage fees, scope of use, and usage period.

[0066] "Usage fees" refer to the charges paid for using digital content, and are calculated based on the terms of use.

[0067] "Usage status" refers to the state of how digital content is actually being used.

[0068] "Usage scope" refers to the scope of permitted use of digital content and may include specific purposes or regions.

[0069] "Usage period" refers to the range of time during which digital content can be used.

[0070] This invention is a system for efficiently creating and managing digital content based on generated information processing. Specific embodiments are shown below.

[0071] Server role:

[0072] The server is equipped with a generative AI model that generates digital content using user prompts as input. This generative AI model creates music, images, text, and other content using specific algorithms. Traceability can be ensured by adding identification information to the generated content using digital watermarking technology.

[0073] A concrete example of its use is when a user provides a prompt such as, "Please generate relaxing background music in a classical music style." In this example, the server interprets this prompt, and the AI ​​model produces music in the specified style.

[0074] Terminal role:

[0075] When a user wishes to use digital content, their device sends a usage request to the server. The device receives the terms of use (e.g., usage fee, usage period, etc.) from the server and displays them to the user. The terms of use are pre-set by the server to ensure fair use.

[0076] User roles:

[0077] Users review the terms of use presented via their device and pay a usage fee if they agree. After payment, the server grants the user permission to use the digital content. By using the content in accordance with the given conditions, users can engage in creative activities while maintaining copyright protection.

[0078] This model enables comprehensive copyright management for generated digital content and allows for fair and efficient revenue distribution. Furthermore, through this system, users can confidently utilize content and create new value.

[0079] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0080] Step 1:

[0081] The server starts the generation AI model and receives a prompt as input. For example, the prompt provided by the user is "Generate relaxing background music in a classical style." Based on this input, the server performs data calculations to enable the AI ​​model to generate content that meets the request, and begins generating music data. The output is the generated music data.

[0082] Step 2:

[0083] The server assigns identification information to the generated music data. This identification information is embedded using digital watermarking technology to ensure traceability. During this process, data processing is performed to clearly indicate which data was generated and how. The output is the music data with the assigned identification information.

[0084] Step 3:

[0085] The terminal receives requests from users to use music data. The user specifies the data they wish to use through the terminal, and this information is sent to the server. The input is the user's request information, and the output is the transfer of this request information to the server.

[0086] Step 4:

[0087] The server generates the usage conditions for the requested music data and sends them to the terminal. This process involves data processing and setting conditions such as usage fees, usage period, and usage scope. The output is the usage conditions data sent to the terminal.

[0088] Step 5:

[0089] The terminal presents the terms of use received from the server to the user. The user reviews the terms of use and, if agreeing, sends consent information back to the server via the terminal. The input is the terms of use data, and the output is the user's consent information.

[0090] Step 6:

[0091] The user pays a usage fee, which grants the server permission to use the music data. The server confirms payment and issues a formal usage license to the user. The data calculations performed during this process involve payment verification and the issuance of the usage license. The output is the usage license data.

[0092] Step 7:

[0093] The server monitors the usage of music data during the usage period. This monitoring includes data calculations to verify that the user is not deviating from the usage conditions. The output is a usage report.

[0094] Through these steps, the system provides comprehensive management of the generated digital content, ensuring fair use and revenue sharing.

[0095] (Application Example 1)

[0096] 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."

[0097] Information resources created by generative AI models are difficult to track in terms of their contribution and usage, leading to a lack of fairness in copyright management and revenue sharing. Therefore, there is a need for a system that enables proper tracking and management of these information resources, allowing users to access them with confidence.

[0098] 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.

[0099] In this invention, the server includes means for assigning traceability information to information resources generated through generation information processing, means for searching for information resources and extracting related information resources, and means for previewing and playing back the content of the information resources in their pre-purchase state. This enables users to search, preview, purchase, and use the generated information resources with peace of mind.

[0100] "Generative information processing" is a technology that generates information resources based on specified parameters.

[0101] "Information resources" refers to digital content created by generative AI models, including music, videos, and images.

[0102] "Traceability information" refers to digital watermarks and metadata added to track the origin and contribution of information resources.

[0103] "Contribution" is an evaluation index that shows how much each copyrighted work or element contributed to the generated information resources.

[0104] A "usage application" is an official request or procedure that a user makes in order to use information resources.

[0105] "Terms of use" refer to the rules and restrictions regarding the use of information resources, such as fees, duration, and scope.

[0106] "Usage fees" are the costs incurred when using information resources, and are calculated based on the terms of use.

[0107] "Playback" refers to the act of viewing or listening to purchased or licensed information resources.

[0108] "Searching" is the process by which a user investigates libraries and databases to find specific information resources.

[0109] "Preview playback" is a function that allows users to view or listen to a portion of the content of an information resource before purchasing it.

[0110] This invention is a system for managing the copyright of generated information resources using a generative AI model. Its main components are a server, a terminal, and a user. The server processes the generated information and assigns traceability information to the generated information resources, thereby enabling tracking of the origin and contribution of the information resources.

[0111] Based on the traceability information, the server accepts usage requests from users and presents the terms of use. These include the usage fee, usage period, and scope of use of the information resources. Users who submit a usage request through their terminal can officially begin using the information resources by agreeing to the presented terms of use and paying the usage fee.

[0112] In this system, the server monitors user usage and checks whether usage limits or durations have been exceeded. Furthermore, the server manages a library of information resources and provides users with the ability to search for specific content and extract relevant information.

[0113] The device allows users to preview content before purchasing information resources. This enables users to select specific information resources and better understand their appeal before deciding to purchase them.

[0114] Furthermore, once the purchase process for information resources is complete, the server tracks the usage of each resource and accurately distributes usage fees based on the collected contribution data. This ensures a fair and transparent distribution of profits.

[0115] For example, if a user searches for AI-generated jazz music to relax, they can input the prompt "Suggest AI-generated jazz music that will help the user relax" into the generation AI model, which will then generate jazz music with the desired characteristics. The user can preview this jazz music and, if satisfied, purchase and enjoy it. In this process, the server handles payment, grants permission to use information resources, and allows the user to enjoy the content with peace of mind.

[0116] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0117] Step 1:

[0118] The user searches for information resources generated via the terminal. The terminal receives the search query from the user and sends the relevant prompt message, "Suggest AI-generated jazz music that will help the user relax," to the generating AI model. The server performs generating information processing based on this prompt message and creates the information resources.

[0119] Step 2:

[0120] The server assigns traceability information to the generated information resources. This includes metadata about the degree of contribution in the generation process and the origin of the resources. The traceable information resources are stored in a database, and a list of the information resources is sent to the terminal. The input here is the raw generated resources, and the output is the information resources with traceability information assigned to them.

[0121] Step 3:

[0122] The device displays a list of information resources to the user and provides a preview playback for each resource. The user selects an information resource of interest and checks its content by watching the preview. At this point, the input is the user's selection, and the output is the actual viewing experience.

[0123] Step 4:

[0124] Once the user decides which information resource they want to use, the terminal presents the terms of use for that resource. These include usage fees, usage period, and scope of use. If the user agrees and pays the usage fee, the terminal sends the payment information to the server. The input is the user's consent and payment information, and the output is the acquisition of usage permission.

[0125] Step 5:

[0126] The server verifies the user's payment and issues usage permission. The server then monitors the usage of information resources, ensuring that the usage scope and duration are not exceeded. The input is payment information, and the output is a usage monitoring report.

[0127] Step 6:

[0128] Users who have received permission to use the information resources can officially begin using them via their terminals. The server collects consumption data of the information resources and distributes usage fees to the relevant parties based on the collected contribution data. This ensures that the entire process is managed fairly. The input is consumption data, and the output is the distribution execution.

[0129] 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.

[0130] This invention is a system that optimizes the user experience of a medium by adding traceability information to a medium generated using generated information processing, and further combining it with an emotion engine that recognizes the user's emotions. This system functions through dynamic cooperation between a server, a terminal, and the user.

[0131] The server performs generation information processing and generates a new medium. During this generation process, the server adds traceability information to the medium using digital watermarking technology. This makes it possible to track the contribution of copyrighted works within the medium.

[0132] The emotion engine recognizes the user's emotions in real time as they interact with the system via their device. Specifically, it detects the user's emotional state using methods such as voice analysis, facial expression recognition, and text analysis. The device sends this data to the server, which dynamically adjusts the content of the media presented based on this data.

[0133] When a user requests to use a generated medium, the device retrieves the terms of use from the server and displays them to the user. Furthermore, sentiment data obtained by the sentiment engine is used to customize the user experience. For example, if the user's sentiment is positive, additional content or special discounts may be offered.

[0134] As a concrete example, when a user watches an AI-generated movie trailer, the emotion engine analyzes the user's reactions and provides relevant movies and bonus information based on their interests and satisfaction levels. As a result, the user can have a more personalized experience.

[0135] This system will improve the media user experience while simultaneously ensuring fair and efficient copyright management.

[0136] The following describes the processing flow.

[0137] Step 1:

[0138] The server performs generation information processing and generates a new medium. After generation is complete, the server uses digital watermarking technology to attach traceability information to the medium. This traceability information includes metadata such as the contributing copyrighted work and the date and time of creation.

[0139] Step 2:

[0140] The user logs into the system via a terminal and selects the medium they wish to use. The terminal sends the user's selection to the server and requests the relevant terms of use.

[0141] Step 3:

[0142] The server, upon receiving a user request, generates terms of use for the media in question and sends them back to the terminal. These terms of use include usage fees, scope of use, and usage period.

[0143] Step 4:

[0144] The device displays the received terms of use to the user. The user reviews the terms and, if they agree to use the service, performs the "Agree and Pay" action.

[0145] Step 5:

[0146] Once payment is complete, the device notifies the server. The server verifies the user's payment status and formally grants permission to use the service.

[0147] Step 6:

[0148] An emotion engine runs on the device, collecting user emotion data in real time. The device analyzes the user's voice, facial expressions, and input text to understand their emotional state.

[0149] Step 7:

[0150] The device sends emotion data recognized by the emotion engine to the server. Based on the received emotion data, the server makes adjustments to provide customized content that matches the user's emotions.

[0151] Step 8:

[0152] The server integrates sentiment data and traceability information and uses it to calculate the distribution of usage fees. If a user expresses positive sentiment, they may be eligible for special services such as additional content or discounts on usage fees.

[0153] Step 9:

[0154] Once the usage period ends, the server analyzes the final usage data and distributes the usage fees to the relevant rights holders. This information is compiled into a report for the relevant parties and used for future operations.

[0155] (Example 2)

[0156] 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".

[0157] Modern information processing systems require proper management of the traceability of generated media and technologies to improve the individual user experience. Furthermore, a system capable of recognizing user emotions in real time and dynamically adjusting the content of the media based on that information does not yet exist. This presents a challenge in achieving fair copyright management while providing users with an engaging and customized experience.

[0158] 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.

[0159] In this invention, the server includes means for assigning identification information to a medium generated through generated information processing, means for tracking the influence of the medium using the identification information, and means for detecting the emotional state of a user via an information processing device. This enables thorough traceability management of the medium and the provision of an optimized user experience based on the user's emotions.

[0160] "Generative information processing" is the process of creating new digital content and data using information technology.

[0161] "Identification information" refers to digital tags or codes assigned to uniquely recognize specific media or data, enabling their traceability.

[0162] "Influence" is a measure used to assess the contribution and value of the media or content that is produced.

[0163] "User emotional state" refers to the emotions and reactions that users exhibit when interacting with a system or medium, and is analyzed using voice, facial expressions, and text data.

[0164] An "information processing device" is an electronic device or system that analyzes user input and responses and performs various processes based on that data.

[0165] This invention is a system that generates media using generative information processing and reflects the user's emotional state in real time to provide a personalized user experience. Specific embodiments for carrying out the invention are shown below.

[0166] The server generates new digital media using generative AI models. Specifically, it employs high-performance cloud computing services for large-scale data processing and natural language generation. The server uses electronic watermarking technology to imbue the generated media with identifying information. This technology allows for the identification of each medium and the tracking of its impact.

[0167] The user accesses the generated media via a terminal equipped with an information processing device. The terminal detects the user's emotional state using voice analysis software and facial recognition algorithms. For example, voice data is converted to text using voice recognition technology, and facial data is analyzed in real time through a visual sensor.

[0168] When emotional data is sent from the device to the server, the server dynamically adjusts the content of the media it presents based on that data. For example, if a positive emotion is detected, the server sends instructions to the device to provide additional content or special promotions.

[0169] For example, while a user is watching a trailer for a new movie, the server can optionally offer behind-the-scenes footage or cast interviews, displaying individual links to pique the user's interest.

[0170] An example of a prompt used in a generative AI model is, "Please describe in detail how to dynamically adjust relevant content based on the user's emotional state." In this way, the user experience is personalized, and copyright management is also efficiently handled.

[0171] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0172] Step 1:

[0173] The server generates new media using a generative AI model. It receives user requests and related information as input data and uses the AI ​​model to generate text and video content. During this process, an algorithm trained on a vast dataset is driven, and the generation results are output. Specifically, unique identification information is assigned to the generated content, and the media is stored in a digital warehouse.

[0174] Step 2:

[0175] The terminal presents media generated in response to user access. Based on user actions and selections, the terminal retrieves the media from the server and plays or displays it through the user interface. Input is the user's request data, and output is the media that the user visually perceives on the screen. At this stage, the terminal also begins monitoring the user's response.

[0176] Step 3:

[0177] The device drives a sensor system to detect the user's emotional state. Input consists of audio and facial expression data acquired through the camera and microphone. This data is processed by an audio analysis algorithm and facial expression recognition model, and the user's emotional state is output. Specifically, the device prepares to send the data to the server in real time.

[0178] Step 4:

[0179] The server receives user sentiment data sent from the terminal and performs analysis based on that data. The input is user sentiment information, and the output is media-optimized content that reflects that information. If a positive sentiment is detected, the server sends response data to the terminal, including additional content and special offers. Specifically, the server queries a database and selects relevant content.

[0180] Step 5:

[0181] The user receives optimized media content sent from the server via their device. The output media is customized according to the user's emotions and includes additional information and links. When the user interacts with this content, the history data is fed back into the system and used for future media presentations. Specifically, the user can access new content by clicking on the provided links.

[0182] (Application Example 2)

[0183] 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".

[0184] In modern media consumption, there is a need to balance improved user experience with copyright management. However, conventional systems fail to adequately provide personalized content that takes into account users' real-time emotional responses, nor do they ensure fair copyright distribution. As a result, users are not provided with an optimized media experience, and copyright holders often face challenges in receiving fair compensation commensurate with their contributions.

[0185] 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.

[0186] In this invention, the server includes means for adding tracking information to information generated via generated data, means for analyzing user responses and dynamically providing situation-appropriate information, and means for distributing royalties based on collected contribution data. This enables real-time optimization of the user experience and fair distribution of compensation to copyright holders.

[0187] "Generated data" refers to digital content and information newly generated through information processing.

[0188] "Tracking information" refers to data added to monitor and record the usage history and contribution of generated information.

[0189] "Contribution" is an indicator that shows the degree of contribution of each participant or element to the generated information or content.

[0190] "Application for use" refers to the application process that users undertake to access specific information or content.

[0191] Terms of Use are the conditions and rules that users must follow when using the information and content provided.

[0192] "Usage fees" refer to the monetary compensation that users must pay for using the generated information or content.

[0193] "User response" refers to data that indicates users' emotions and understanding of the content, and includes the results of facial expression and voice analysis.

[0194] "Dynamic delivery" means adjusting and supplying information and content in real time according to the user's situation and reactions.

[0195] This invention is a system for optimizing the media experience based on user emotions and efficiently managing copyrights. The server, terminal, and user work together in a coordinated manner.

[0196] The server generates digital content through generation information processing and adds tracking information to it. Digital watermarking technology is used to monitor and record the content's distribution channels and contribution.

[0197] The device connects to the user and collects voice and facial expression data. This data is analyzed in real time to identify the user's emotions. Specifically, image data captured by the device's camera is processed using TENSORFLOW® to identify emotions from the user's facial expressions. In addition, voice data acquired by the microphone is analyzed to detect emotional states.

[0198] The server dynamically provides content tailored to the user based on collected emotional data. The information provided is adjusted according to the user's interests and satisfaction levels. For example, if a user smiles frequently while watching a comedy film, the server will recommend other films of the same genre.

[0199] The calculation and distribution of usage fees are performed by the server. Based on content contribution data, a fair distribution of usage fees is ensured to copyright holders.

[0200] One concrete example is a feature where, when a user is moved by watching a music video, the emotion engine analyzes that reaction and provides information about new songs by related artists.

[0201] An example of a prompt to a generative AI model is, "Generate content recommendations based on the user's sentiment data from watching a movie trailer."

[0202] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0203] Step 1:

[0204] The device captures the user's facial expressions with its camera and collects audio with its microphone. The input consists of the user's facial image data and audio data. The device sends this data to an emotion recognition engine, which then initiates image and audio analysis. The output is data indicating the user's emotional state (e.g., joy, surprise, sadness).

[0205] Step 2:

[0206] The device sends acquired emotion data to the server. The input is the user's real-time emotion state data. The server receives this data and consults a database to select the most relevant content for the user. The output is a list of relevant content.

[0207] Step 3:

[0208] The server selects relevant content and provides it to the user's terminal. The input is a content list filtered based on sentiment data. The server uses an algorithm to prioritize selecting the content that will most interest the user. The output is content data optimized for presentation to the user.

[0209] Step 4:

[0210] The user selects and views the presented content. The input is optimized content data provided by the server. The user selects content of interest through the interface and begins viewing. The output is the user's viewing experience of the selected content.

[0211] Step 5:

[0212] The server calculates usage fees based on viewing history and sentiment, and distributes them to copyright holders. Inputs are user content usage history and sentiment data. The server aggregates this data and calculates usage fees appropriate to each rights holder. Output is usage fee data that is fairly distributed.

[0213] 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.

[0214] 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.

[0215] 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.

[0216] [Second Embodiment]

[0217] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0218] 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.

[0219] 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).

[0220] 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.

[0221] 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.

[0222] 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).

[0223] 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.

[0224] 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.

[0225] 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.

[0226] 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.

[0227] 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.

[0228] 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".

[0229] This invention provides a system that enables comprehensive copyright management for media generated using generated information processing. This system is operated through the mutual cooperation of three parties: a server, a terminal, and a user.

[0230] The server executes a generation AI algorithm and generates new media based on specified parameters. The server then adds traceability information to the generated media using digital watermarking and encryption technologies, making it possible to track which copyrighted works contributed to what extent.

[0231] The terminal has the function of relaying user usage requests to the server, receiving the terms of use for the media selected by the user, and presenting them to the user. The terms of use include usage fees, usage period, and scope of use.

[0232] The user agrees to the specified terms of use and pays the usage fee. Once payment is complete, the server approves and grants the user permission to use the media. During the usage period, the server monitors the media usage and verifies that there is no use exceeding the scope or duration of use.

[0233] For example, if a user wants to use an AI-generated music file, the server generates the music and adds the necessary traceability information. The user submits a usage request via their device and is presented with the terms of use for that music file. By agreeing to these terms and paying the usage fee, the user officially begins using the medium.

[0234] Through this series of processes, the present invention ensures the secure management of copyrights to the generated media and enables fair use and revenue sharing.

[0235] The following describes the processing flow.

[0236] Step 1:

[0237] The server performs generation information processing and generates a new medium using the specified input data. Immediately after generation, the server attaches traceability information to the medium using digital watermarking and encryption technologies. This makes it possible to identify which copyrighted works contributed to what extent.

[0238] Step 2:

[0239] Users access the system through their terminals and submit requests to use specific media. The user's request is sent to the server via the terminal. The server receives the request and generates usage conditions related to the media.

[0240] Step 3:

[0241] The terminal receives the terms of use returned from the server and displays them to the user. The terms of use include the usage fee, usage period, scope of use, and license details.

[0242] Step 4:

[0243] The user reviews the presented terms of use and, if they agree, performs the "Agree and Pay" action. The device receives the payment information, processes it securely, and completes the payment.

[0244] Step 5:

[0245] The server receives a payment completion notification from the device and grants permission to use the service to the user's account based on the terms of use. This officially allows the user to use the media.

[0246] Step 6:

[0247] During the usage period, the server monitors media usage in real time. Specifically, it collects data such as the number of uses, device information, and usage time to verify that the scope and duration of use do not exceed the contract terms.

[0248] Step 7:

[0249] Upon the end of the usage period or periodically thereafter, the server analyzes the collected traceability information and distributes royalties based on the contribution of the copyrighted work. The calculated distribution results are reported to the relevant rights holders, and payments are made accordingly.

[0250] (Example 1)

[0251] 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."

[0252] With the increasing volume of digital content, it has become difficult to properly manage the copyrights of generated content and distribute royalties fairly. Furthermore, there is a need to prevent use that deviates from the terms of use and to accurately track the contribution of content. Traditional methods have lacked efficient and reliable means to address these challenges.

[0253] 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.

[0254] In this invention, the server includes means for assigning identification information to digital content generated through generation information processing, means for tracking the contribution of the digital content using the identification information, and means for monitoring the usage of the digital content and confirming the scope and duration of use. This enables comprehensive copyright management and fair royalty distribution for the generated content.

[0255] "Generative information processing" refers to a series of computational processes used to automatically create digital content.

[0256] "Digital content" refers to electronic materials such as music, images, and text created through generative information processing.

[0257] "Identification information" refers to specific information added to digital content that is used to track the content.

[0258] "Contribution" is an indicator that shows the extent to which each copyrighted work influenced the generated digital content.

[0259] "Terms of use" are regulations governing the use of digital content, and include specific conditions such as usage fees, scope of use, and usage period.

[0260] "Usage fees" refer to the charges paid for using digital content, and are calculated based on the terms of use.

[0261] "Usage status" refers to the state of how digital content is actually being used.

[0262] "Usage scope" refers to the scope of permitted use of digital content and may include specific purposes or regions.

[0263] "Usage period" refers to the range of time during which digital content can be used.

[0264] This invention is a system for efficiently creating and managing digital content based on generated information processing. Specific embodiments are shown below.

[0265] Server role:

[0266] The server is equipped with a generative AI model that generates digital content using user prompts as input. This generative AI model creates music, images, text, and other content using specific algorithms. Traceability can be ensured by adding identification information to the generated content using digital watermarking technology.

[0267] A concrete example of its use is when a user provides a prompt such as, "Please generate relaxing background music in a classical music style." In this example, the server interprets this prompt, and the AI ​​model produces music in the specified style.

[0268] Terminal role:

[0269] When a user wishes to use digital content, their device sends a usage request to the server. The device receives the terms of use (e.g., usage fee, usage period, etc.) from the server and displays them to the user. The terms of use are pre-set by the server to ensure fair use.

[0270] User roles:

[0271] Users review the terms of use presented via their device and pay a usage fee if they agree. After payment, the server grants the user permission to use the digital content. By using the content in accordance with the given conditions, users can engage in creative activities while maintaining copyright protection.

[0272] This model enables comprehensive copyright management for generated digital content and allows for fair and efficient revenue distribution. Furthermore, through this system, users can confidently utilize content and create new value.

[0273] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0274] Step 1:

[0275] The server starts the generation AI model and receives a prompt as input. For example, the prompt provided by the user is "Generate relaxing background music in a classical style." Based on this input, the server performs data calculations to enable the AI ​​model to generate content that meets the request, and begins generating music data. The output is the generated music data.

[0276] Step 2:

[0277] The server assigns identification information to the generated music data. This identification information is embedded using digital watermarking technology to ensure traceability. In this process, data processing is performed to clarify how the data was generated. The output is the music data with the identification information attached.

[0278] Step 3:

[0279] The terminal receives a request from the user to use music data. The user specifies the data they want to use through the terminal, and this information is sent to the server. The input is the user's application information, and the output is the transfer of the application information to the server.

[0280] Step 4:

[0281] The server generates the usage conditions for the requested music data and sends them to the terminal. In this process, data processing is performed to set conditions such as usage fees, usage periods, and usage scopes. The output is the usage condition data sent to the terminal.

[0282] Step 5:

[0283] The terminal presents the usage conditions received from the server to the user. The user checks the usage conditions and, if they agree, sends consent information to the server through the terminal. The input is the usage condition data, and the output is the user's consent information.

[0284] Step 6:

[0285] The user pays the usage fee, and thereby the server permits the use of the music data. The server confirms the completion of the payment and issues a formal usage permission to the user. The data operations performed at this time are the verification of the payment and the issuance of the usage permission. The output is the usage permission data.

[0286] Step 7:

[0287] The server monitors the usage of music data during the usage period. This monitoring includes data calculations to verify that the user is not deviating from the usage conditions. The output is a usage report.

[0288] Through these steps, the system provides comprehensive management of the generated digital content, ensuring fair use and revenue sharing.

[0289] (Application Example 1)

[0290] 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."

[0291] Information resources created by generative AI models are difficult to track in terms of their contribution and usage, leading to a lack of fairness in copyright management and revenue sharing. Therefore, there is a need for a system that enables proper tracking and management of these information resources, allowing users to access them with confidence.

[0292] 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.

[0293] In this invention, the server includes means for assigning traceability information to information resources generated through generation information processing, means for searching for information resources and extracting related information resources, and means for previewing and playing back the content of the information resources in their pre-purchase state. This enables users to search, preview, purchase, and use the generated information resources with peace of mind.

[0294] "Generative information processing" is a technology that generates information resources based on specified parameters.

[0295] "Information resources" refers to digital content created by generative AI models, including music, videos, and images.

[0296] "Traceability information" refers to digital watermarks and metadata added to track the origin and contribution of information resources.

[0297] "Contribution" is an evaluation index that shows how much each copyrighted work or element contributed to the generated information resources.

[0298] A "usage application" is an official request or procedure that a user makes in order to use information resources.

[0299] "Terms of use" refer to the rules and restrictions regarding the use of information resources, such as fees, duration, and scope.

[0300] "Usage fees" are the costs incurred when using information resources, and are calculated based on the terms of use.

[0301] "Playback" refers to the act of viewing or listening to purchased or licensed information resources.

[0302] "Searching" is the process by which a user investigates libraries and databases to find specific information resources.

[0303] "Preview playback" is a function that allows users to view or listen to a portion of the content of an information resource before purchasing it.

[0304] This invention is a system for managing the copyright of generated information resources using a generative AI model. Its main components are a server, a terminal, and a user. The server processes the generated information and assigns traceability information to the generated information resources, thereby enabling tracking of the origin and contribution of the information resources.

[0305] Based on the traceability information, the server accepts usage requests from users and presents the terms of use. These include the usage fee, usage period, and scope of use of the information resources. Users who submit a usage request through their terminal can officially begin using the information resources by agreeing to the presented terms of use and paying the usage fee.

[0306] In this system, the server monitors the usage status of users and checks whether they exceed the usage range or period. Furthermore, the server manages the library of information resources and provides the function for users to search for specific content and extract relevant information.

[0307] The terminal enables users to preview and play the content before purchasing the information resources. This allows users to make a purchase decision after selecting a specific information resource and understanding its attractiveness better.

[0308] Also, when the purchase procedure of the information resources is completed, the server tracks the usage status of each information resource and accurately distributes the usage fees based on the collected contribution data. This realizes a fair and transparent profit distribution.

[0309] As a specific example, when a user searches for AI-generated jazz music for relaxation, by inputting the prompt sentence "Propose AI-generated jazz music that allows users to relax" into the generation AI model, jazz music with the desired characteristics is generated. The user can preview this jazz music and, if satisfied, purchase and enjoy it. In this process, the server conducts the payment settlement, permits the use of the information resources, and enables users to enjoy the content with confidence.

[0310] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0311] Step 1:

[0312] The user searches for information resources generated via the terminal. The terminal receives the search query from the user and sends the relevant prompt sentence "Propose AI-generated jazz music that allows users to relax" to the generation AI model. The server executes the generation information processing based on this prompt sentence and creates the information resources.

[0313] Step 2:

[0314] The server assigns traceability information to the generated information resources. This includes metadata about the degree of contribution in the generation process and the origin of the resources. The traceable information resources are stored in a database, and a list of the information resources is sent to the terminal. The input here is the raw generated resources, and the output is the information resources with traceability information assigned to them.

[0315] Step 3:

[0316] The device displays a list of information resources to the user and provides a preview playback for each resource. The user selects an information resource of interest and checks its content by watching the preview. At this point, the input is the user's selection, and the output is the actual viewing experience.

[0317] Step 4:

[0318] Once the user decides which information resource they want to use, the terminal presents the terms of use for that resource. These include usage fees, usage period, and scope of use. If the user agrees and pays the usage fee, the terminal sends the payment information to the server. The input is the user's consent and payment information, and the output is the acquisition of usage permission.

[0319] Step 5:

[0320] The server verifies the user's payment and issues usage permission. The server then monitors the usage of information resources, ensuring that the usage scope and duration are not exceeded. The input is payment information, and the output is a usage monitoring report.

[0321] Step 6:

[0322] Users who have received permission to use the information resources can officially begin using them via their terminals. The server collects consumption data of the information resources and distributes usage fees to the relevant parties based on the collected contribution data. This ensures that the entire process is managed fairly. The input is consumption data, and the output is the distribution execution.

[0323] 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.

[0324] This invention is a system that optimizes the user experience of a medium by adding traceability information to a medium generated using generated information processing, and further combining it with an emotion engine that recognizes the user's emotions. This system functions through dynamic cooperation between a server, a terminal, and the user.

[0325] The server performs generation information processing and generates a new medium. During this generation process, the server adds traceability information to the medium using digital watermarking technology. This makes it possible to track the contribution of copyrighted works within the medium.

[0326] The emotion engine recognizes the user's emotions in real time as they interact with the system via their device. Specifically, it detects the user's emotional state using methods such as voice analysis, facial expression recognition, and text analysis. The device sends this data to the server, which dynamically adjusts the content of the media presented based on this data.

[0327] When a user requests to use a generated medium, the device retrieves the terms of use from the server and displays them to the user. Furthermore, sentiment data obtained by the sentiment engine is used to customize the user experience. For example, if the user's sentiment is positive, additional content or special discounts may be offered.

[0328] As a concrete example, when a user watches an AI-generated movie trailer, the emotion engine analyzes the user's reactions and provides relevant movies and bonus information based on their interests and satisfaction levels. As a result, the user can have a more personalized experience.

[0329] This system will improve the media user experience while simultaneously ensuring fair and efficient copyright management.

[0330] The following describes the processing flow.

[0331] Step 1:

[0332] The server performs generation information processing and generates a new medium. After generation is complete, the server uses digital watermarking technology to attach traceability information to the medium. This traceability information includes metadata such as the contributing copyrighted work and the date and time of creation.

[0333] Step 2:

[0334] The user logs into the system via a terminal and selects the medium they wish to use. The terminal sends the user's selection to the server and requests the relevant terms of use.

[0335] Step 3:

[0336] The server, upon receiving a user request, generates terms of use for the media in question and sends them back to the terminal. These terms of use include usage fees, scope of use, and usage period.

[0337] Step 4:

[0338] The device displays the received terms of use to the user. The user reviews the terms and, if they agree to use the service, performs the "Agree and Pay" action.

[0339] Step 5:

[0340] Once payment is complete, the device notifies the server. The server verifies the user's payment status and formally grants permission to use the service.

[0341] Step 6:

[0342] An emotion engine runs on the device, collecting user emotion data in real time. The device analyzes the user's voice, facial expressions, and input text to understand their emotional state.

[0343] Step 7:

[0344] The device sends emotion data recognized by the emotion engine to the server. Based on the received emotion data, the server makes adjustments to provide customized content that matches the user's emotions.

[0345] Step 8:

[0346] The server integrates sentiment data and traceability information and uses it to calculate the distribution of usage fees. If a user expresses positive sentiment, they may be eligible for special services such as additional content or discounts on usage fees.

[0347] Step 9:

[0348] Once the usage period ends, the server analyzes the final usage data and distributes the usage fees to the relevant rights holders. This information is compiled into a report for the relevant parties and used for future operations.

[0349] (Example 2)

[0350] 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".

[0351] Modern information processing systems require proper management of the traceability of generated media and technologies to improve the individual user experience. Furthermore, a system capable of recognizing user emotions in real time and dynamically adjusting the content of the media based on that information does not yet exist. This presents a challenge in achieving fair copyright management while providing users with an engaging and customized experience.

[0352] 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.

[0353] In this invention, the server includes means for assigning identification information to a medium generated through generated information processing, means for tracking the influence of the medium using the identification information, and means for detecting the emotional state of a user via an information processing device. This enables thorough traceability management of the medium and the provision of an optimized user experience based on the user's emotions.

[0354] "Generative information processing" is the process of creating new digital content and data using information technology.

[0355] "Identification information" refers to digital tags or codes assigned to uniquely recognize specific media or data, enabling their traceability.

[0356] "Influence" is a measure used to assess the contribution and value of the media or content that is produced.

[0357] "User emotional state" refers to the emotions and reactions that users exhibit when interacting with a system or medium, and is analyzed using voice, facial expressions, and text data.

[0358] An "information processing device" is an electronic device or system that analyzes user input and responses and performs various processes based on that data.

[0359] This invention is a system that generates media using generative information processing and reflects the user's emotional state in real time to provide a personalized user experience. Specific embodiments for carrying out the invention are shown below.

[0360] The server generates new digital media using generative AI models. Specifically, it employs high-performance cloud computing services for large-scale data processing and natural language generation. The server uses electronic watermarking technology to imbue the generated media with identifying information. This technology allows for the identification of each medium and the tracking of its impact.

[0361] The user accesses the generated media via a terminal equipped with an information processing device. The terminal detects the user's emotional state using voice analysis software and facial recognition algorithms. For example, voice data is converted to text using voice recognition technology, and facial data is analyzed in real time through a visual sensor.

[0362] When emotional data is sent from the device to the server, the server dynamically adjusts the content of the media it presents based on that data. For example, if a positive emotion is detected, the server sends instructions to the device to provide additional content or special promotions.

[0363] For example, while a user is watching a trailer for a new movie, the server can optionally offer behind-the-scenes footage or cast interviews, displaying individual links to pique the user's interest.

[0364] An example of a prompt used in a generative AI model is, "Please describe in detail how to dynamically adjust relevant content based on the user's emotional state." In this way, the user experience is personalized, and copyright management is also efficiently handled.

[0365] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0366] Step 1:

[0367] The server generates new media using a generative AI model. It receives user requests and related information as input data and uses the AI ​​model to generate text and video content. During this process, an algorithm trained on a vast dataset is driven, and the generation results are output. Specifically, unique identification information is assigned to the generated content, and the media is stored in a digital warehouse.

[0368] Step 2:

[0369] The terminal presents media generated in response to user access. Based on user actions and selections, the terminal retrieves the media from the server and plays or displays it through the user interface. Input is the user's request data, and output is the media that the user visually perceives on the screen. At this stage, the terminal also begins monitoring the user's response.

[0370] Step 3:

[0371] The device drives a sensor system to detect the user's emotional state. Input consists of audio and facial expression data acquired through the camera and microphone. This data is processed by an audio analysis algorithm and facial expression recognition model, and the user's emotional state is output. Specifically, the device prepares to send the data to the server in real time.

[0372] Step 4:

[0373] The server receives user sentiment data sent from the terminal and performs analysis based on that data. The input is user sentiment information, and the output is media-optimized content that reflects that information. If a positive sentiment is detected, the server sends response data to the terminal, including additional content and special offers. Specifically, the server queries a database and selects relevant content.

[0374] Step 5:

[0375] The user receives optimized media content sent from the server via their device. The output media is customized according to the user's emotions and includes additional information and links. When the user interacts with this content, the history data is fed back into the system and used for future media presentations. Specifically, the user can access new content by clicking on the provided links.

[0376] (Application Example 2)

[0377] 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."

[0378] In modern media consumption, there is a need to balance improved user experience with copyright management. However, conventional systems fail to adequately provide personalized content that takes into account users' real-time emotional responses, nor do they ensure fair copyright distribution. As a result, users are not provided with an optimized media experience, and copyright holders often face challenges in receiving fair compensation commensurate with their contributions.

[0379] 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.

[0380] In this invention, the server includes means for adding tracking information to information generated via generated data, means for analyzing user responses and dynamically providing situation-appropriate information, and means for distributing royalties based on collected contribution data. This enables real-time optimization of the user experience and fair distribution of compensation to copyright holders.

[0381] "Generated data" refers to digital content and information newly generated through information processing.

[0382] "Tracking information" refers to data added to monitor and record the usage history and contribution of generated information.

[0383] "Contribution" is an indicator that shows the degree of contribution of each participant or element to the generated information or content.

[0384] "Application for use" refers to the application process that users undertake to access specific information or content.

[0385] Terms of Use are the conditions and rules that users must follow when using the information and content provided.

[0386] "Usage fees" refer to the monetary compensation that users must pay for using the generated information or content.

[0387] "User response" refers to data that indicates users' emotions and understanding of the content, and includes the results of facial expression and voice analysis.

[0388] "Dynamic delivery" means adjusting and supplying information and content in real time according to the user's situation and reactions.

[0389] This invention is a system for optimizing the media experience based on user emotions and efficiently managing copyrights. The server, terminal, and user work together in a coordinated manner.

[0390] The server generates digital content through generation information processing and adds tracking information to it. Digital watermarking technology is used to monitor and record the content's distribution channels and contribution.

[0391] The device connects to the user and collects voice and facial expression data. This data is analyzed in real time to identify the user's emotions. Specifically, image data captured by the device's camera is processed using TensorFlow to identify emotions from the user's facial expressions. In addition, voice data acquired by the microphone is analyzed to detect emotional states.

[0392] The server dynamically provides content tailored to the user based on collected emotional data. The information provided is adjusted according to the user's interests and satisfaction levels. For example, if a user smiles frequently while watching a comedy film, the server will recommend other films of the same genre.

[0393] The calculation and distribution of usage fees are performed by the server. Based on content contribution data, a fair distribution of usage fees is ensured to copyright holders.

[0394] One concrete example is a feature where, when a user is moved by watching a music video, the emotion engine analyzes that reaction and provides information about new songs by related artists.

[0395] An example of a prompt to a generative AI model is, "Generate content recommendations based on the user's sentiment data from watching a movie trailer."

[0396] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0397] Step 1:

[0398] The device captures the user's facial expressions with its camera and collects audio with its microphone. The input consists of the user's facial image data and audio data. The device sends this data to an emotion recognition engine, which then initiates image and audio analysis. The output is data indicating the user's emotional state (e.g., joy, surprise, sadness).

[0399] Step 2:

[0400] The device sends acquired emotion data to the server. The input is the user's real-time emotion state data. The server receives this data and consults a database to select the most relevant content for the user. The output is a list of relevant content.

[0401] Step 3:

[0402] The server selects relevant content and provides it to the user's terminal. The input is a content list filtered based on sentiment data. The server uses an algorithm to prioritize selecting the content that will most interest the user. The output is content data optimized for presentation to the user.

[0403] Step 4:

[0404] The user selects and views the presented content. The input is optimized content data provided by the server. The user selects content of interest through the interface and begins viewing. The output is the user's viewing experience of the selected content.

[0405] Step 5:

[0406] The server calculates usage fees based on viewing history and sentiment, and distributes them to copyright holders. Inputs are user content usage history and sentiment data. The server aggregates this data and calculates usage fees appropriate to each rights holder. Output is usage fee data that is fairly distributed.

[0407] 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.

[0408] 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.

[0409] 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.

[0410] [Third Embodiment]

[0411] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0412] 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.

[0413] 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).

[0414] 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.

[0415] 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.

[0416] 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).

[0417] 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.

[0418] 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.

[0419] 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.

[0420] 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.

[0421] 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.

[0422] 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".

[0423] This invention provides a system that enables comprehensive copyright management for media generated using generated information processing. This system is operated through the mutual cooperation of three parties: a server, a terminal, and a user.

[0424] The server executes a generation AI algorithm and generates new media based on specified parameters. The server then adds traceability information to the generated media using digital watermarking and encryption technologies, making it possible to track which copyrighted works contributed to what extent.

[0425] The terminal has the function of relaying user usage requests to the server, receiving the terms of use for the media selected by the user, and presenting them to the user. The terms of use include usage fees, usage period, and scope of use.

[0426] The user agrees to the specified terms of use and pays the usage fee. Once payment is complete, the server approves and grants the user permission to use the media. During the usage period, the server monitors the media usage and verifies that there is no use exceeding the scope or duration of use.

[0427] For example, if a user wants to use an AI-generated music file, the server generates the music and adds the necessary traceability information. The user submits a usage request via their device and is presented with the terms of use for that music file. By agreeing to these terms and paying the usage fee, the user officially begins using the medium.

[0428] Through this series of processes, the present invention ensures the secure management of copyrights to the generated media and enables fair use and revenue sharing.

[0429] The following describes the processing flow.

[0430] Step 1:

[0431] The server performs generation information processing and generates a new medium using the specified input data. Immediately after generation, the server attaches traceability information to the medium using digital watermarking and encryption technologies. This makes it possible to identify which copyrighted works contributed to what extent.

[0432] Step 2:

[0433] Users access the system through their terminals and submit requests to use specific media. The user's request is sent to the server via the terminal. The server receives the request and generates usage conditions related to the media.

[0434] Step 3:

[0435] The terminal receives the terms of use returned from the server and displays them to the user. The terms of use include the usage fee, usage period, scope of use, and license details.

[0436] Step 4:

[0437] The user reviews the presented terms of use and, if they agree, performs the "Agree and Pay" action. The device receives the payment information, processes it securely, and completes the payment.

[0438] Step 5:

[0439] The server receives a payment completion notification from the device and grants permission to use the service to the user's account based on the terms of use. This officially allows the user to use the media.

[0440] Step 6:

[0441] During the usage period, the server monitors media usage in real time. Specifically, it collects data such as the number of uses, device information, and usage time to verify that the scope and duration of use do not exceed the contract terms.

[0442] Step 7:

[0443] Upon the end of the usage period or periodically thereafter, the server analyzes the collected traceability information and distributes royalties based on the contribution of the copyrighted work. The calculated distribution results are reported to the relevant rights holders, and payments are made accordingly.

[0444] (Example 1)

[0445] 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."

[0446] With the increasing volume of digital content, it has become difficult to properly manage the copyrights of generated content and distribute royalties fairly. Furthermore, there is a need to prevent use that deviates from the terms of use and to accurately track the contribution of content. Traditional methods have lacked efficient and reliable means to address these challenges.

[0447] 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.

[0448] In this invention, the server includes means for assigning identification information to digital content generated through generation information processing, means for tracking the contribution of the digital content using the identification information, and means for monitoring the usage of the digital content and confirming the scope and duration of use. This enables comprehensive copyright management and fair royalty distribution for the generated content.

[0449] "Generative information processing" refers to a series of computational processes used to automatically create digital content.

[0450] "Digital content" refers to electronic materials such as music, images, and text created through generative information processing.

[0451] "Identification information" refers to specific information added to digital content that is used to track the content.

[0452] "Contribution" is an indicator that shows the extent to which each copyrighted work influenced the generated digital content.

[0453] "Terms of use" are regulations governing the use of digital content, and include specific conditions such as usage fees, scope of use, and usage period.

[0454] "Usage fees" refer to the charges paid for using digital content, and are calculated based on the terms of use.

[0455] "Usage status" refers to the state of how digital content is actually being used.

[0456] "Usage scope" refers to the scope of permitted use of digital content and may include specific purposes or regions.

[0457] "Usage period" refers to the range of time during which digital content can be used.

[0458] This invention is a system for efficiently creating and managing digital content based on generated information processing. Specific embodiments are shown below.

[0459] Server role:

[0460] The server is equipped with a generative AI model that generates digital content using user prompts as input. This generative AI model creates music, images, text, and other content using specific algorithms. Traceability can be ensured by adding identification information to the generated content using digital watermarking technology.

[0461] A concrete example of its use is when a user provides a prompt such as, "Please generate relaxing background music in a classical music style." In this example, the server interprets this prompt, and the AI ​​model produces music in the specified style.

[0462] Terminal role:

[0463] When a user wishes to use digital content, their device sends a usage request to the server. The device receives the terms of use (e.g., usage fee, usage period, etc.) from the server and displays them to the user. The terms of use are pre-set by the server to ensure fair use.

[0464] User roles:

[0465] Users review the terms of use presented via their device and pay a usage fee if they agree. After payment, the server grants the user permission to use the digital content. By using the content in accordance with the given conditions, users can engage in creative activities while maintaining copyright protection.

[0466] This model enables comprehensive copyright management for generated digital content and allows for fair and efficient revenue distribution. Furthermore, through this system, users can confidently utilize content and create new value.

[0467] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0468] Step 1:

[0469] The server starts the generation AI model and receives a prompt as input. For example, the prompt provided by the user is "Generate relaxing background music in a classical style." Based on this input, the server performs data calculations to enable the AI ​​model to generate content that meets the request, and begins generating music data. The output is the generated music data.

[0470] Step 2:

[0471] The server assigns identification information to the generated music data. This identification information is embedded using digital watermarking technology to ensure traceability. During this process, data processing is performed to clearly indicate which data was generated and how. The output is the music data with the assigned identification information.

[0472] Step 3:

[0473] The terminal receives requests from users to use music data. The user specifies the data they wish to use through the terminal, and this information is sent to the server. The input is the user's request information, and the output is the transfer of this request information to the server.

[0474] Step 4:

[0475] The server generates the usage conditions for the requested music data and sends them to the terminal. This process involves data processing and setting conditions such as usage fees, usage period, and usage scope. The output is the usage conditions data sent to the terminal.

[0476] Step 5:

[0477] The terminal presents the terms of use received from the server to the user. The user reviews the terms of use and, if agreeing, sends consent information back to the server via the terminal. The input is the terms of use data, and the output is the user's consent information.

[0478] Step 6:

[0479] The user pays a usage fee, which grants the server permission to use the music data. The server confirms payment and issues a formal usage license to the user. The data calculations performed during this process involve payment verification and the issuance of the usage license. The output is the usage license data.

[0480] Step 7:

[0481] The server monitors the usage of music data during the usage period. This monitoring includes data calculations to verify that the user is not deviating from the usage conditions. The output is a usage report.

[0482] Through these steps, the system provides comprehensive management of the generated digital content, ensuring fair use and revenue sharing.

[0483] (Application Example 1)

[0484] 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."

[0485] Information resources created by generative AI models are difficult to track in terms of their contribution and usage, leading to a lack of fairness in copyright management and revenue sharing. Therefore, there is a need for a system that enables proper tracking and management of these information resources, allowing users to access them with confidence.

[0486] 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.

[0487] In this invention, the server includes means for assigning traceability information to information resources generated through generation information processing, means for searching for information resources and extracting related information resources, and means for previewing and playing back the content of the information resources in their pre-purchase state. This enables users to search, preview, purchase, and use the generated information resources with peace of mind.

[0488] "Generative information processing" is a technology that generates information resources based on specified parameters.

[0489] "Information resources" refers to digital content created by generative AI models, including music, videos, and images.

[0490] "Traceability information" refers to digital watermarks and metadata added to track the origin and contribution of information resources.

[0491] "Contribution" is an evaluation index that shows how much each copyrighted work or element contributed to the generated information resources.

[0492] A "usage application" is an official request or procedure that a user makes in order to use information resources.

[0493] "Terms of use" refer to the rules and restrictions regarding the use of information resources, such as fees, duration, and scope.

[0494] "Usage fees" are the costs incurred when using information resources, and are calculated based on the terms of use.

[0495] "Playback" refers to the act of viewing or listening to purchased or licensed information resources.

[0496] "Searching" is the process by which a user investigates libraries and databases to find specific information resources.

[0497] "Preview playback" is a function that allows users to view or listen to a portion of the content of an information resource before purchasing it.

[0498] This invention is a system for managing the copyright of generated information resources using a generative AI model. Its main components are a server, a terminal, and a user. The server processes the generated information and assigns traceability information to the generated information resources, thereby enabling tracking of the origin and contribution of the information resources.

[0499] Based on the traceability information, the server accepts usage requests from users and presents the terms of use. These include the usage fee, usage period, and scope of use of the information resources. Users who submit a usage request through their terminal can officially begin using the information resources by agreeing to the presented terms of use and paying the usage fee.

[0500] In this system, the server monitors user usage and checks whether usage limits or durations have been exceeded. Furthermore, the server manages a library of information resources and provides users with the ability to search for specific content and extract relevant information.

[0501] The device allows users to preview content before purchasing information resources. This enables users to select specific information resources and better understand their appeal before deciding to purchase them.

[0502] Furthermore, once the purchase process for information resources is complete, the server tracks the usage of each resource and accurately distributes usage fees based on the collected contribution data. This ensures a fair and transparent distribution of profits.

[0503] For example, if a user searches for AI-generated jazz music to relax, they can input the prompt "Suggest AI-generated jazz music that will help the user relax" into the generation AI model, which will then generate jazz music with the desired characteristics. The user can preview this jazz music and, if satisfied, purchase and enjoy it. In this process, the server handles payment, grants permission to use information resources, and allows the user to enjoy the content with peace of mind.

[0504] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0505] Step 1:

[0506] The user searches for information resources generated via the terminal. The terminal receives the search query from the user and sends the relevant prompt message, "Suggest AI-generated jazz music that will help the user relax," to the generating AI model. The server performs generating information processing based on this prompt message and creates the information resources.

[0507] Step 2:

[0508] The server assigns traceability information to the generated information resources. This includes metadata about the degree of contribution in the generation process and the origin of the resources. The traceable information resources are stored in a database, and a list of the information resources is sent to the terminal. The input here is the raw generated resources, and the output is the information resources with traceability information assigned to them.

[0509] Step 3:

[0510] The device displays a list of information resources to the user and provides a preview playback for each resource. The user selects an information resource of interest and checks its content by watching the preview. At this point, the input is the user's selection, and the output is the actual viewing experience.

[0511] Step 4:

[0512] Once the user decides which information resource they want to use, the terminal presents the terms of use for that resource. These include usage fees, usage period, and scope of use. If the user agrees and pays the usage fee, the terminal sends the payment information to the server. The input is the user's consent and payment information, and the output is the acquisition of usage permission.

[0513] Step 5:

[0514] The server verifies the user's payment and issues usage permission. The server then monitors the usage of information resources, ensuring that the usage scope and duration are not exceeded. The input is payment information, and the output is a usage monitoring report.

[0515] Step 6:

[0516] Users who have received permission to use the information resources can officially begin using them via their terminals. The server collects consumption data of the information resources and distributes usage fees to the relevant parties based on the collected contribution data. This ensures that the entire process is managed fairly. The input is consumption data, and the output is the distribution execution.

[0517] 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.

[0518] This invention is a system that optimizes the user experience of a medium by adding traceability information to a medium generated using generated information processing, and further combining it with an emotion engine that recognizes the user's emotions. This system functions through dynamic cooperation between a server, a terminal, and the user.

[0519] The server performs generation information processing and generates a new medium. During this generation process, the server adds traceability information to the medium using digital watermarking technology. This makes it possible to track the contribution of copyrighted works within the medium.

[0520] The emotion engine recognizes the user's emotions in real time as they interact with the system via their device. Specifically, it detects the user's emotional state using methods such as voice analysis, facial expression recognition, and text analysis. The device sends this data to the server, which dynamically adjusts the content of the media presented based on this data.

[0521] When a user requests to use a generated medium, the device retrieves the terms of use from the server and displays them to the user. Furthermore, sentiment data obtained by the sentiment engine is used to customize the user experience. For example, if the user's sentiment is positive, additional content or special discounts may be offered.

[0522] As a concrete example, when a user watches an AI-generated movie trailer, the emotion engine analyzes the user's reactions and provides relevant movies and bonus information based on their interests and satisfaction levels. As a result, the user can have a more personalized experience.

[0523] This system will improve the media user experience while simultaneously ensuring fair and efficient copyright management.

[0524] The following describes the processing flow.

[0525] Step 1:

[0526] The server performs generation information processing and generates a new medium. After generation is complete, the server uses digital watermarking technology to attach traceability information to the medium. This traceability information includes metadata such as the contributing copyrighted work and the date and time of creation.

[0527] Step 2:

[0528] The user logs into the system via a terminal and selects the medium they wish to use. The terminal sends the user's selection to the server and requests the relevant terms of use.

[0529] Step 3:

[0530] The server, upon receiving a user request, generates terms of use for the media in question and sends them back to the terminal. These terms of use include usage fees, scope of use, and usage period.

[0531] Step 4:

[0532] The device displays the received terms of use to the user. The user reviews the terms and, if they agree to use the service, performs the "Agree and Pay" action.

[0533] Step 5:

[0534] Once payment is complete, the device notifies the server. The server verifies the user's payment status and formally grants permission to use the service.

[0535] Step 6:

[0536] An emotion engine runs on the device, collecting user emotion data in real time. The device analyzes the user's voice, facial expressions, and input text to understand their emotional state.

[0537] Step 7:

[0538] The device sends emotion data recognized by the emotion engine to the server. Based on the received emotion data, the server makes adjustments to provide customized content that matches the user's emotions.

[0539] Step 8:

[0540] The server integrates sentiment data and traceability information and uses it to calculate the distribution of usage fees. If a user expresses positive sentiment, they may be eligible for special services such as additional content or discounts on usage fees.

[0541] Step 9:

[0542] Once the usage period ends, the server analyzes the final usage data and distributes the usage fees to the relevant rights holders. This information is compiled into a report for the relevant parties and used for future operations.

[0543] (Example 2)

[0544] 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."

[0545] Modern information processing systems require proper management of the traceability of generated media and technologies to improve the individual user experience. Furthermore, a system capable of recognizing user emotions in real time and dynamically adjusting the content of the media based on that information does not yet exist. This presents a challenge in achieving fair copyright management while providing users with an engaging and customized experience.

[0546] 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.

[0547] In this invention, the server includes means for assigning identification information to a medium generated through generated information processing, means for tracking the influence of the medium using the identification information, and means for detecting the emotional state of a user via an information processing device. This enables thorough traceability management of the medium and the provision of an optimized user experience based on the user's emotions.

[0548] "Generative information processing" is the process of creating new digital content and data using information technology.

[0549] "Identification information" refers to digital tags or codes assigned to uniquely recognize specific media or data, enabling their traceability.

[0550] "Influence" is a measure used to assess the contribution and value of the media or content that is produced.

[0551] "User emotional state" refers to the emotions and reactions that users exhibit when interacting with a system or medium, and is analyzed using voice, facial expressions, and text data.

[0552] An "information processing device" is an electronic device or system that analyzes user input and responses and performs various processes based on that data.

[0553] This invention is a system that generates media using generative information processing and reflects the user's emotional state in real time to provide a personalized user experience. Specific embodiments for carrying out the invention are shown below.

[0554] The server generates new digital media using generative AI models. Specifically, it employs high-performance cloud computing services for large-scale data processing and natural language generation. The server uses electronic watermarking technology to imbue the generated media with identifying information. This technology allows for the identification of each medium and the tracking of its impact.

[0555] The user accesses the generated media via a terminal equipped with an information processing device. The terminal detects the user's emotional state using voice analysis software and facial recognition algorithms. For example, voice data is converted to text using voice recognition technology, and facial data is analyzed in real time through a visual sensor.

[0556] When emotional data is sent from the device to the server, the server dynamically adjusts the content of the media it presents based on that data. For example, if a positive emotion is detected, the server sends instructions to the device to provide additional content or special promotions.

[0557] For example, while a user is watching a trailer for a new movie, the server can optionally offer behind-the-scenes footage or cast interviews, displaying individual links to pique the user's interest.

[0558] An example of a prompt used in a generative AI model is, "Please describe in detail how to dynamically adjust relevant content based on the user's emotional state." In this way, the user experience is personalized, and copyright management is also efficiently handled.

[0559] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0560] Step 1:

[0561] The server generates new media using a generative AI model. It receives user requests and related information as input data and uses the AI ​​model to generate text and video content. During this process, an algorithm trained on a vast dataset is driven, and the generation results are output. Specifically, unique identification information is assigned to the generated content, and the media is stored in a digital warehouse.

[0562] Step 2:

[0563] The terminal presents media generated in response to user access. Based on user actions and selections, the terminal retrieves the media from the server and plays or displays it through the user interface. Input is the user's request data, and output is the media that the user visually perceives on the screen. At this stage, the terminal also begins monitoring the user's response.

[0564] Step 3:

[0565] The device drives a sensor system to detect the user's emotional state. Input consists of audio and facial expression data acquired through the camera and microphone. This data is processed by an audio analysis algorithm and facial expression recognition model, and the user's emotional state is output. Specifically, the device prepares to send the data to the server in real time.

[0566] Step 4:

[0567] The server receives user sentiment data sent from the terminal and performs analysis based on that data. The input is user sentiment information, and the output is media-optimized content that reflects that information. If a positive sentiment is detected, the server sends response data to the terminal, including additional content and special offers. Specifically, the server queries a database and selects relevant content.

[0568] Step 5:

[0569] The user receives optimized media content sent from the server via their device. The output media is customized according to the user's emotions and includes additional information and links. When the user interacts with this content, the history data is fed back into the system and used for future media presentations. Specifically, the user can access new content by clicking on the provided links.

[0570] (Application Example 2)

[0571] 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."

[0572] In modern media consumption, there is a need to balance improved user experience with copyright management. However, conventional systems fail to adequately provide personalized content that takes into account users' real-time emotional responses, nor do they ensure fair copyright distribution. As a result, users are not provided with an optimized media experience, and copyright holders often face challenges in receiving fair compensation commensurate with their contributions.

[0573] 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.

[0574] In this invention, the server includes means for adding tracking information to information generated via generated data, means for analyzing user responses and dynamically providing situation-appropriate information, and means for distributing royalties based on collected contribution data. This enables real-time optimization of the user experience and fair distribution of compensation to copyright holders.

[0575] "Generated data" refers to digital content and information newly generated through information processing.

[0576] "Tracking information" refers to data added to monitor and record the usage history and contribution of generated information.

[0577] "Contribution" is an indicator that shows the degree of contribution of each participant or element to the generated information or content.

[0578] "Application for use" refers to the application process that users undertake to access specific information or content.

[0579] Terms of Use are the conditions and rules that users must follow when using the information and content provided.

[0580] "Usage fees" refer to the monetary compensation that users must pay for using the generated information or content.

[0581] "User response" refers to data that indicates users' emotions and understanding of the content, and includes the results of facial expression and voice analysis.

[0582] "Dynamic delivery" means adjusting and supplying information and content in real time according to the user's situation and reactions.

[0583] This invention is a system for optimizing the media experience based on user emotions and efficiently managing copyrights. The server, terminal, and user work together in a coordinated manner.

[0584] The server generates digital content through generation information processing and adds tracking information to it. Digital watermarking technology is used to monitor and record the content's distribution channels and contribution.

[0585] The device connects to the user and collects voice and facial expression data. This data is analyzed in real time to identify the user's emotions. Specifically, image data captured by the device's camera is processed using TensorFlow to identify emotions from the user's facial expressions. In addition, voice data acquired by the microphone is analyzed to detect emotional states.

[0586] The server dynamically provides content tailored to the user based on collected emotional data. The information provided is adjusted according to the user's interests and satisfaction levels. For example, if a user smiles frequently while watching a comedy film, the server will recommend other films of the same genre.

[0587] The calculation and distribution of usage fees are performed by the server. Based on content contribution data, a fair distribution of usage fees is ensured to copyright holders.

[0588] One concrete example is a feature where, when a user is moved by watching a music video, the emotion engine analyzes that reaction and provides information about new songs by related artists.

[0589] An example of a prompt to a generative AI model is, "Generate content recommendations based on the user's sentiment data from watching a movie trailer."

[0590] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0591] Step 1:

[0592] The device captures the user's facial expressions with its camera and collects audio with its microphone. The input consists of the user's facial image data and audio data. The device sends this data to an emotion recognition engine, which then initiates image and audio analysis. The output is data indicating the user's emotional state (e.g., joy, surprise, sadness).

[0593] Step 2:

[0594] The device sends acquired emotion data to the server. The input is the user's real-time emotion state data. The server receives this data and consults a database to select the most relevant content for the user. The output is a list of relevant content.

[0595] Step 3:

[0596] The server selects relevant content and provides it to the user's terminal. The input is a content list filtered based on sentiment data. The server uses an algorithm to prioritize selecting the content that will most interest the user. The output is content data optimized for presentation to the user.

[0597] Step 4:

[0598] The user selects and views the presented content. The input is optimized content data provided by the server. The user selects content of interest through the interface and begins viewing. The output is the user's viewing experience of the selected content.

[0599] Step 5:

[0600] The server calculates usage fees based on viewing history and sentiment, and distributes them to copyright holders. Inputs are user content usage history and sentiment data. The server aggregates this data and calculates usage fees appropriate to each rights holder. Output is usage fee data that is fairly distributed.

[0601] 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.

[0602] 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.

[0603] 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.

[0604] [Fourth Embodiment]

[0605] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0606] 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.

[0607] 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).

[0608] 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.

[0609] 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.

[0610] 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).

[0611] 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.

[0612] 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.

[0613] 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.

[0614] 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.

[0615] 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.

[0616] 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.

[0617] 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".

[0618] This invention provides a system that enables comprehensive copyright management for media generated using generated information processing. This system is operated through the mutual cooperation of three parties: a server, a terminal, and a user.

[0619] The server executes a generation AI algorithm and generates new media based on specified parameters. The server then adds traceability information to the generated media using digital watermarking and encryption technologies, making it possible to track which copyrighted works contributed to what extent.

[0620] The terminal has the function of relaying user usage requests to the server, receiving the terms of use for the media selected by the user, and presenting them to the user. The terms of use include usage fees, usage period, and scope of use.

[0621] The user agrees to the specified terms of use and pays the usage fee. Once payment is complete, the server approves and grants the user permission to use the media. During the usage period, the server monitors the media usage and verifies that there is no use exceeding the scope or duration of use.

[0622] For example, if a user wants to use an AI-generated music file, the server generates the music and adds the necessary traceability information. The user submits a usage request via their device and is presented with the terms of use for that music file. By agreeing to these terms and paying the usage fee, the user officially begins using the medium.

[0623] Through this series of processes, the present invention ensures the secure management of copyrights to the generated media and enables fair use and revenue sharing.

[0624] The following describes the processing flow.

[0625] Step 1:

[0626] The server performs generation information processing and generates a new medium using the specified input data. Immediately after generation, the server attaches traceability information to the medium using digital watermarking and encryption technologies. This makes it possible to identify which copyrighted works contributed to what extent.

[0627] Step 2:

[0628] Users access the system through their terminals and submit requests to use specific media. The user's request is sent to the server via the terminal. The server receives the request and generates usage conditions related to the media.

[0629] Step 3:

[0630] The terminal receives the terms of use returned from the server and displays them to the user. The terms of use include the usage fee, usage period, scope of use, and license details.

[0631] Step 4:

[0632] The user reviews the presented terms of use and, if they agree, performs the "Agree and Pay" action. The device receives the payment information, processes it securely, and completes the payment.

[0633] Step 5:

[0634] The server receives a payment completion notification from the device and grants permission to use the service to the user's account based on the terms of use. This officially allows the user to use the media.

[0635] Step 6:

[0636] During the usage period, the server monitors media usage in real time. Specifically, it collects data such as the number of uses, device information, and usage time to verify that the scope and duration of use do not exceed the contract terms.

[0637] Step 7:

[0638] Upon the end of the usage period or periodically thereafter, the server analyzes the collected traceability information and distributes royalties based on the contribution of the copyrighted work. The calculated distribution results are reported to the relevant rights holders, and payments are made accordingly.

[0639] (Example 1)

[0640] 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".

[0641] With the increasing volume of digital content, it has become difficult to properly manage the copyrights of generated content and distribute royalties fairly. Furthermore, there is a need to prevent use that deviates from the terms of use and to accurately track the contribution of content. Traditional methods have lacked efficient and reliable means to address these challenges.

[0642] 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.

[0643] In this invention, the server includes means for assigning identification information to digital content generated through generation information processing, means for tracking the contribution of the digital content using the identification information, and means for monitoring the usage of the digital content and confirming the scope and duration of use. This enables comprehensive copyright management and fair royalty distribution for the generated content.

[0644] "Generative information processing" refers to a series of computational processes used to automatically create digital content.

[0645] "Digital content" refers to electronic materials such as music, images, and text created through generative information processing.

[0646] "Identification information" refers to specific information added to digital content that is used to track the content.

[0647] "Contribution" is an indicator that shows the extent to which each copyrighted work influenced the generated digital content.

[0648] "Terms of use" are regulations governing the use of digital content, and include specific conditions such as usage fees, scope of use, and usage period.

[0649] "Usage fees" refer to the charges paid for using digital content, and are calculated based on the terms of use.

[0650] "Usage status" refers to the state of how digital content is actually being used.

[0651] "Usage scope" refers to the scope of permitted use of digital content and may include specific purposes or regions.

[0652] "Usage period" refers to the range of time during which digital content can be used.

[0653] This invention is a system for efficiently creating and managing digital content based on generated information processing. Specific embodiments are shown below.

[0654] Server role:

[0655] The server is equipped with a generative AI model that generates digital content using user prompts as input. This generative AI model creates music, images, text, and other content using specific algorithms. Traceability can be ensured by adding identification information to the generated content using digital watermarking technology.

[0656] A concrete example of its use is when a user provides a prompt such as, "Please generate relaxing background music in a classical music style." In this example, the server interprets this prompt, and the AI ​​model produces music in the specified style.

[0657] Terminal role:

[0658] When a user wishes to use digital content, their device sends a usage request to the server. The device receives the terms of use (e.g., usage fee, usage period, etc.) from the server and displays them to the user. The terms of use are pre-set by the server to ensure fair use.

[0659] User roles:

[0660] Users review the terms of use presented via their device and pay a usage fee if they agree. After payment, the server grants the user permission to use the digital content. By using the content in accordance with the given conditions, users can engage in creative activities while maintaining copyright protection.

[0661] This model enables comprehensive copyright management for generated digital content and allows for fair and efficient revenue distribution. Furthermore, through this system, users can confidently utilize content and create new value.

[0662] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0663] Step 1:

[0664] The server starts the generation AI model and receives a prompt as input. For example, the prompt provided by the user is "Generate relaxing background music in a classical style." Based on this input, the server performs data calculations to enable the AI ​​model to generate content that meets the request, and begins generating music data. The output is the generated music data.

[0665] Step 2:

[0666] The server assigns identification information to the generated music data. This identification information is embedded using digital watermarking technology to ensure traceability. During this process, data processing is performed to clearly indicate which data was generated and how. The output is the music data with the assigned identification information.

[0667] Step 3:

[0668] The terminal receives requests from users to use music data. The user specifies the data they wish to use through the terminal, and this information is sent to the server. The input is the user's request information, and the output is the transfer of this request information to the server.

[0669] Step 4:

[0670] The server generates the usage conditions for the requested music data and sends them to the terminal. This process involves data processing and setting conditions such as usage fees, usage period, and usage scope. The output is the usage conditions data sent to the terminal.

[0671] Step 5:

[0672] The terminal presents the terms of use received from the server to the user. The user reviews the terms of use and, if agreeing, sends consent information back to the server via the terminal. The input is the terms of use data, and the output is the user's consent information.

[0673] Step 6:

[0674] The user pays a usage fee, which grants the server permission to use the music data. The server confirms payment and issues a formal usage license to the user. The data calculations performed during this process involve payment verification and the issuance of the usage license. The output is the usage license data.

[0675] Step 7:

[0676] The server monitors the usage of music data during the usage period. This monitoring includes data calculations to verify that the user is not deviating from the usage conditions. The output is a usage report.

[0677] Through these steps, the system provides comprehensive management of the generated digital content, ensuring fair use and revenue sharing.

[0678] (Application Example 1)

[0679] 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".

[0680] Information resources created by generative AI models are difficult to track in terms of their contribution and usage, leading to a lack of fairness in copyright management and revenue sharing. Therefore, there is a need for a system that enables proper tracking and management of these information resources, allowing users to access them with confidence.

[0681] 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.

[0682] In this invention, the server includes means for assigning traceability information to information resources generated through generation information processing, means for searching for information resources and extracting related information resources, and means for previewing and playing back the content of the information resources in their pre-purchase state. This enables users to search, preview, purchase, and use the generated information resources with peace of mind.

[0683] "Generative information processing" is a technology that generates information resources based on specified parameters.

[0684] "Information resources" refers to digital content created by generative AI models, including music, videos, and images.

[0685] "Traceability information" refers to digital watermarks and metadata added to track the origin and contribution of information resources.

[0686] "Contribution" is an evaluation index that shows how much each copyrighted work or element contributed to the generated information resources.

[0687] A "usage application" is an official request or procedure that a user makes in order to use information resources.

[0688] "Terms of use" refer to the rules and restrictions regarding the use of information resources, such as fees, duration, and scope.

[0689] "Usage fees" are the costs incurred when using information resources, and are calculated based on the terms of use.

[0690] "Playback" refers to the act of viewing or listening to purchased or licensed information resources.

[0691] "Searching" is the process by which a user investigates libraries and databases to find specific information resources.

[0692] "Preview playback" is a function that allows users to view or listen to a portion of the content of an information resource before purchasing it.

[0693] This invention is a system for managing the copyright of generated information resources using a generative AI model. Its main components are a server, a terminal, and a user. The server processes the generated information and assigns traceability information to the generated information resources, thereby enabling tracking of the origin and contribution of the information resources.

[0694] Based on the traceability information, the server accepts usage requests from users and presents the terms of use. These include the usage fee, usage period, and scope of use of the information resources. Users who submit a usage request through their terminal can officially begin using the information resources by agreeing to the presented terms of use and paying the usage fee.

[0695] In this system, the server monitors user usage and checks whether usage limits or durations have been exceeded. Furthermore, the server manages a library of information resources and provides users with the ability to search for specific content and extract relevant information.

[0696] The device allows users to preview content before purchasing information resources. This enables users to select specific information resources and better understand their appeal before deciding to purchase them.

[0697] Furthermore, once the purchase process for information resources is complete, the server tracks the usage of each resource and accurately distributes usage fees based on the collected contribution data. This ensures a fair and transparent distribution of profits.

[0698] For example, if a user searches for AI-generated jazz music to relax, they can input the prompt "Suggest AI-generated jazz music that will help the user relax" into the generation AI model, which will then generate jazz music with the desired characteristics. The user can preview this jazz music and, if satisfied, purchase and enjoy it. In this process, the server handles payment, grants permission to use information resources, and allows the user to enjoy the content with peace of mind.

[0699] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0700] Step 1:

[0701] The user searches for information resources generated via the terminal. The terminal receives the search query from the user and sends the relevant prompt message, "Suggest AI-generated jazz music that will help the user relax," to the generating AI model. The server performs generating information processing based on this prompt message and creates the information resources.

[0702] Step 2:

[0703] The server assigns traceability information to the generated information resources. This includes metadata about the degree of contribution in the generation process and the origin of the resources. The traceable information resources are stored in a database, and a list of the information resources is sent to the terminal. The input here is the raw generated resources, and the output is the information resources with traceability information assigned to them.

[0704] Step 3:

[0705] The device displays a list of information resources to the user and provides a preview playback for each resource. The user selects an information resource of interest and checks its content by watching the preview. At this point, the input is the user's selection, and the output is the actual viewing experience.

[0706] Step 4:

[0707] Once the user decides which information resource they want to use, the terminal presents the terms of use for that resource. These include usage fees, usage period, and scope of use. If the user agrees and pays the usage fee, the terminal sends the payment information to the server. The input is the user's consent and payment information, and the output is the acquisition of usage permission.

[0708] Step 5:

[0709] The server verifies the user's payment and issues usage permission. The server then monitors the usage of information resources, ensuring that the usage scope and duration are not exceeded. The input is payment information, and the output is a usage monitoring report.

[0710] Step 6:

[0711] Users who have received permission to use the information resources can officially begin using them via their terminals. The server collects consumption data of the information resources and distributes usage fees to the relevant parties based on the collected contribution data. This ensures that the entire process is managed fairly. The input is consumption data, and the output is the distribution execution.

[0712] 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.

[0713] This invention is a system that optimizes the user experience of a medium by adding traceability information to a medium generated using generated information processing, and further combining it with an emotion engine that recognizes the user's emotions. This system functions through dynamic cooperation between a server, a terminal, and the user.

[0714] The server performs generation information processing and generates a new medium. During this generation process, the server adds traceability information to the medium using digital watermarking technology. This makes it possible to track the contribution of copyrighted works within the medium.

[0715] The emotion engine recognizes the user's emotions in real time as they interact with the system via their device. Specifically, it detects the user's emotional state using methods such as voice analysis, facial expression recognition, and text analysis. The device sends this data to the server, which dynamically adjusts the content of the media presented based on this data.

[0716] When a user requests to use a generated medium, the device retrieves the terms of use from the server and displays them to the user. Furthermore, sentiment data obtained by the sentiment engine is used to customize the user experience. For example, if the user's sentiment is positive, additional content or special discounts may be offered.

[0717] As a concrete example, when a user watches an AI-generated movie trailer, the emotion engine analyzes the user's reactions and provides relevant movies and bonus information based on their interests and satisfaction levels. As a result, the user can have a more personalized experience.

[0718] This system will improve the media user experience while simultaneously ensuring fair and efficient copyright management.

[0719] The following describes the processing flow.

[0720] Step 1:

[0721] The server performs generation information processing and generates a new medium. After generation is complete, the server uses digital watermarking technology to attach traceability information to the medium. This traceability information includes metadata such as the contributing copyrighted work and the date and time of creation.

[0722] Step 2:

[0723] The user logs into the system via a terminal and selects the medium they wish to use. The terminal sends the user's selection to the server and requests the relevant terms of use.

[0724] Step 3:

[0725] The server, upon receiving a user request, generates terms of use for the media in question and sends them back to the terminal. These terms of use include usage fees, scope of use, and usage period.

[0726] Step 4:

[0727] The device displays the received terms of use to the user. The user reviews the terms and, if they agree to use the service, performs the "Agree and Pay" action.

[0728] Step 5:

[0729] Once payment is complete, the device notifies the server. The server verifies the user's payment status and formally grants permission to use the service.

[0730] Step 6:

[0731] An emotion engine runs on the device, collecting user emotion data in real time. The device analyzes the user's voice, facial expressions, and input text to understand their emotional state.

[0732] Step 7:

[0733] The device sends emotion data recognized by the emotion engine to the server. Based on the received emotion data, the server makes adjustments to provide customized content that matches the user's emotions.

[0734] Step 8:

[0735] The server integrates sentiment data and traceability information and uses it to calculate the distribution of usage fees. If a user expresses positive sentiment, they may be eligible for special services such as additional content or discounts on usage fees.

[0736] Step 9:

[0737] Once the usage period ends, the server analyzes the final usage data and distributes the usage fees to the relevant rights holders. This information is compiled into a report for the relevant parties and used for future operations.

[0738] (Example 2)

[0739] 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".

[0740] Modern information processing systems require proper management of the traceability of generated media and technologies to improve the individual user experience. Furthermore, a system capable of recognizing user emotions in real time and dynamically adjusting the content of the media based on that information does not yet exist. This presents a challenge in achieving fair copyright management while providing users with an engaging and customized experience.

[0741] 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.

[0742] In this invention, the server includes means for assigning identification information to a medium generated through generated information processing, means for tracking the influence of the medium using the identification information, and means for detecting the emotional state of a user via an information processing device. This enables thorough traceability management of the medium and the provision of an optimized user experience based on the user's emotions.

[0743] "Generative information processing" is the process of creating new digital content and data using information technology.

[0744] "Identification information" refers to digital tags or codes assigned to uniquely recognize specific media or data, enabling their traceability.

[0745] "Influence" is a measure used to assess the contribution and value of the media or content that is produced.

[0746] "User emotional state" refers to the emotions and reactions that users exhibit when interacting with a system or medium, and is analyzed using voice, facial expressions, and text data.

[0747] An "information processing device" is an electronic device or system that analyzes user input and responses and performs various processes based on that data.

[0748] This invention is a system that generates media using generative information processing and reflects the user's emotional state in real time to provide a personalized user experience. Specific embodiments for carrying out the invention are shown below.

[0749] The server generates new digital media using generative AI models. Specifically, it employs high-performance cloud computing services for large-scale data processing and natural language generation. The server uses electronic watermarking technology to imbue the generated media with identifying information. This technology allows for the identification of each medium and the tracking of its impact.

[0750] The user accesses the generated media via a terminal equipped with an information processing device. The terminal detects the user's emotional state using voice analysis software and facial recognition algorithms. For example, voice data is converted to text using voice recognition technology, and facial data is analyzed in real time through a visual sensor.

[0751] When emotional data is sent from the device to the server, the server dynamically adjusts the content of the media it presents based on that data. For example, if a positive emotion is detected, the server sends instructions to the device to provide additional content or special promotions.

[0752] For example, while a user is watching a trailer for a new movie, the server can optionally offer behind-the-scenes footage or cast interviews, displaying individual links to pique the user's interest.

[0753] An example of a prompt used in a generative AI model is, "Please describe in detail how to dynamically adjust relevant content based on the user's emotional state." In this way, the user experience is personalized, and copyright management is also efficiently handled.

[0754] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0755] Step 1:

[0756] The server generates new media using a generative AI model. It receives user requests and related information as input data and uses the AI ​​model to generate text and video content. During this process, an algorithm trained on a vast dataset is driven, and the generation results are output. Specifically, unique identification information is assigned to the generated content, and the media is stored in a digital warehouse.

[0757] Step 2:

[0758] The terminal presents media generated in response to user access. Based on user actions and selections, the terminal retrieves the media from the server and plays or displays it through the user interface. Input is the user's request data, and output is the media that the user visually perceives on the screen. At this stage, the terminal also begins monitoring the user's response.

[0759] Step 3:

[0760] The device drives a sensor system to detect the user's emotional state. Input consists of audio and facial expression data acquired through the camera and microphone. This data is processed by an audio analysis algorithm and facial expression recognition model, and the user's emotional state is output. Specifically, the device prepares to send the data to the server in real time.

[0761] Step 4:

[0762] The server receives user sentiment data sent from the terminal and performs analysis based on that data. The input is user sentiment information, and the output is media-optimized content that reflects that information. If a positive sentiment is detected, the server sends response data to the terminal, including additional content and special offers. Specifically, the server queries a database and selects relevant content.

[0763] Step 5:

[0764] The user receives optimized media content sent from the server via their device. The output media is customized according to the user's emotions and includes additional information and links. When the user interacts with this content, the history data is fed back into the system and used for future media presentations. Specifically, the user can access new content by clicking on the provided links.

[0765] (Application Example 2)

[0766] 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".

[0767] In modern media consumption, there is a need to balance improved user experience with copyright management. However, conventional systems fail to adequately provide personalized content that takes into account users' real-time emotional responses, nor do they ensure fair copyright distribution. As a result, users are not provided with an optimized media experience, and copyright holders often face challenges in receiving fair compensation commensurate with their contributions.

[0768] 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.

[0769] In this invention, the server includes means for adding tracking information to information generated via generated data, means for analyzing user responses and dynamically providing situation-appropriate information, and means for distributing royalties based on collected contribution data. This enables real-time optimization of the user experience and fair distribution of compensation to copyright holders.

[0770] "Generated data" refers to digital content and information newly generated through information processing.

[0771] "Tracking information" refers to data added to monitor and record the usage history and contribution of generated information.

[0772] "Contribution" is an indicator that shows the degree of contribution of each participant or element to the generated information or content.

[0773] "Application for use" refers to the application process that users undertake to access specific information or content.

[0774] Terms of Use are the conditions and rules that users must follow when using the information and content provided.

[0775] "Usage fees" refer to the monetary compensation that users must pay for using the generated information or content.

[0776] "User response" refers to data that indicates users' emotions and understanding of the content, and includes the results of facial expression and voice analysis.

[0777] "Dynamic delivery" means adjusting and supplying information and content in real time according to the user's situation and reactions.

[0778] This invention is a system for optimizing the media experience based on user emotions and efficiently managing copyrights. The server, terminal, and user work together in a coordinated manner.

[0779] The server generates digital content through generation information processing and adds tracking information to it. Digital watermarking technology is used to monitor and record the content's distribution channels and contribution.

[0780] The device connects to the user and collects voice and facial expression data. This data is analyzed in real time to identify the user's emotions. Specifically, image data captured by the device's camera is processed using TensorFlow to identify emotions from the user's facial expressions. In addition, voice data acquired by the microphone is analyzed to detect emotional states.

[0781] The server dynamically provides content tailored to the user based on collected emotional data. The information provided is adjusted according to the user's interests and satisfaction levels. For example, if a user smiles frequently while watching a comedy film, the server will recommend other films of the same genre.

[0782] The calculation and distribution of usage fees are performed by the server. Based on content contribution data, a fair distribution of usage fees is ensured to copyright holders.

[0783] One concrete example is a feature where, when a user is moved by watching a music video, the emotion engine analyzes that reaction and provides information about new songs by related artists.

[0784] An example of a prompt to a generative AI model is, "Generate content recommendations based on the user's sentiment data from watching a movie trailer."

[0785] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0786] Step 1:

[0787] The device captures the user's facial expressions with its camera and collects audio with its microphone. The input consists of the user's facial image data and audio data. The device sends this data to an emotion recognition engine, which then initiates image and audio analysis. The output is data indicating the user's emotional state (e.g., joy, surprise, sadness).

[0788] Step 2:

[0789] The device sends acquired emotion data to the server. The input is the user's real-time emotion state data. The server receives this data and consults a database to select the most relevant content for the user. The output is a list of relevant content.

[0790] Step 3:

[0791] The server selects relevant content and provides it to the user's terminal. The input is a content list filtered based on sentiment data. The server uses an algorithm to prioritize selecting the content that will most interest the user. The output is content data optimized for presentation to the user.

[0792] Step 4:

[0793] The user selects and views the presented content. The input is optimized content data provided by the server. The user selects content of interest through the interface and begins viewing. The output is the user's viewing experience of the selected content.

[0794] Step 5:

[0795] The server calculates usage fees based on viewing history and sentiment, and distributes them to copyright holders. Inputs are user content usage history and sentiment data. The server aggregates this data and calculates usage fees appropriate to each rights holder. Output is usage fee data that is fairly distributed.

[0796] 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.

[0797] 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.

[0798] 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.

[0799] 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.

[0800] 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.

[0801] 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.

[0802] 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.

[0803] 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.

[0804] 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."

[0805] 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.

[0806] 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.

[0807] 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.

[0808] 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.

[0809] 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.

[0810] 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.

[0811] 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.

[0812] 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.

[0813] 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.

[0814] 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.

[0815] 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.

[0816] 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.

[0817] The following is further disclosed regarding the embodiments described above.

[0818] (Claim 1)

[0819] A means for assigning traceability information to a medium generated through generation information processing,

[0820] A means for tracking the contribution of the medium using the traceability information,

[0821] A means of receiving applications for the use of the said medium and presenting the terms of use,

[0822] A means for granting permission to use the medium and calculating usage fees based on the said terms of use,

[0823] A means of distributing usage fees based on collected contribution data,

[0824] A system that includes this.

[0825] (Claim 2)

[0826] The system according to claim 1, comprising means for generating the medium by performing generation information processing.

[0827] (Claim 3)

[0828] The system according to claim 1, comprising means for managing the traceability information and monitoring the scope and duration of use of the medium.

[0829] "Example 1"

[0830] (Claim 1)

[0831] A means for assigning identification information to digital content generated through generated information processing,

[0832] A means for tracking the contribution of the digital content using the identification information,

[0833] A means for accepting applications for the use of the digital content and presenting the terms of use,

[0834] A means for granting permission to use the digital content and calculating usage fees based on the said terms of use,

[0835] A means of distributing royalties based on collected contribution data,

[0836] A means for monitoring the usage of the digital content and confirming the scope and duration of its use,

[0837] A system that includes this.

[0838] (Claim 2)

[0839] The system according to claim 1, comprising means for generating digital content by performing generation information processing.

[0840] (Claim 3)

[0841] The system according to claim 1, comprising means for managing the identification information and monitoring the scope and duration of use of the digital content.

[0842] "Application Example 1"

[0843] (Claim 1)

[0844] A means for assigning traceability information to information resources generated through generation information processing,

[0845] A means for tracking the contribution of the information resource using the traceability information,

[0846] A means for accepting applications for the use of the information resources and presenting the terms of use,

[0847] A means for granting permission to use the information resource based on the said terms of use and for calculating the usage fee,

[0848] A means of distributing usage fees based on collected contribution data,

[0849] A means for searching for the information resource and extracting related information resources,

[0850] A means for previewing and playing back the content of the information resource in its pre-purchase state,

[0851] A means for executing the settlement process for the said usage fee,

[0852] Means for reproducing approved information resources,

[0853] A system that includes this.

[0854] (Claim 2)

[0855] The system according to claim 1, comprising means for generating information resources by performing generated information processing.

[0856] (Claim 3)

[0857] The system according to claim 1, comprising means for managing the traceability information and monitoring the scope and duration of use of the information resources.

[0858] "Example 2 of combining an emotion engine"

[0859] (Claim 1)

[0860] A means for assigning identification information to a medium generated through generation information processing,

[0861] A means for tracking the influence of the medium using the identification information,

[0862] A means of receiving applications for the use of the said medium and presenting the terms of use,

[0863] A means for granting permission to use the medium and calculating usage fees based on the said terms of use,

[0864] A means of distributing usage fees based on collected impact data,

[0865] A means for detecting the emotional state of a user via an information processing device,

[0866] Means for adjusting the content of the medium presented based on the emotional state,

[0867] A system that includes this.

[0868] (Claim 2)

[0869] The system according to claim 1, comprising means for generating the medium by performing generation information processing.

[0870] (Claim 3)

[0871] The system according to claim 1, comprising means for managing the identification information and monitoring the scope and duration of use of the medium.

[0872] "Application example 2 when combining with an emotional engine"

[0873] (Claim 1)

[0874] A means of adding tracking information to information generated through generated data,

[0875] A means for monitoring the contribution of said tracking information,

[0876] A means of receiving an application for the use of the information and displaying the terms of use,

[0877] The means of approving the use of such information in accordance with the said terms of use and calculating the usage fee,

[0878] A means of allocating royalties based on collected contribution data,

[0879] A means of analyzing user responses and dynamically providing information appropriate to the situation,

[0880] A system that includes this.

[0881] (Claim 2)

[0882] The system according to claim 1, comprising means for generating the information by performing processing of the generated data.

[0883] (Claim 3)

[0884] The system according to claim 1, comprising means for controlling the tracking information and monitoring the scope and expiration date of the information. [Explanation of symbols]

[0885] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for assigning traceability information to a medium generated through generation information processing, A means for tracking the contribution of the medium using the traceability information, A means of receiving applications for the use of the said medium and presenting the terms of use, A means for granting permission to use the medium and calculating usage fees based on the said terms of use, A means of distributing usage fees based on collected contribution data, A system that includes this.

2. The system according to claim 1, comprising means for generating the medium by performing generation information processing.

3. The system according to claim 1, comprising means for managing the traceability information and monitoring the scope and duration of use of the medium.

Images