System

Abstract

An object of a system according to an embodiment is to determine authenticity of a creative product.SOLUTION: A system includes a storage unit, a learning unit, and a determination unit. The storage unit stores data of a creative product. The learning unit learns the data of the creation stored by the storage unit. The determination part determines the authenticity of the creation based on the data learned by the learning part.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] With conventional technology, there is a risk that works created by generative AI may be difficult to distinguish from the real thing.

[0005] The system according to the embodiment aims to determine the authenticity of a creative work. [Means for solving the problem]

[0006] The system according to the embodiment includes a storage unit, a learning unit, and a determination unit. The storage unit stores data of a creative work. The learning unit learns the data of the creative work stored by the storage unit. The determination unit determines the authenticity of the creative work based on the data learned by the learning unit. [Effects of the Invention]

[0007] The system according to the embodiment can determine the authenticity of a creative work. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. DETAILED DESCRIPTION OF THE INVENTION

[0009] 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.

[0010] First, the terms used in the following description will be explained.

[0011] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, the processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0013] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0014] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), and Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. Camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device owned by a user (e.g., a mobile phone, a robot, a home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) The authenticity determination system according to an embodiment of the present invention is a system in which a generative AI stores data on a creative work and compares it with learning data to determine authenticity. This allows the authenticity determination system to protect the value of authenticity in an age in which "likely ____" creative works created by generative AI are expected to circulate.

[0029] The authenticity determination system according to the embodiment includes a memory unit, a learning unit, and a determination unit. The memory unit stores data of creative works. For example, the memory unit can collect and store data such as novels, paintings, and photographs. The memory unit can also store analog data as well as digital data. For example, the memory unit can store scanned image data and audio data. The learning unit learns the creative work data stored by the memory unit. For example, the learning unit uses a generation AI to analyze the stored data and learn its characteristics. The learning unit can also learn the style, theme, and expression method of the creative work using the natural language processing technology of the generation AI. For example, the learning unit uses the generation AI to analyze the style of a novel and learn its characteristics. The determination unit determines the authenticity of the creative work based on the data learned by the learning unit. For example, the determination unit analyzes newly input creative work data by comparing it with the learning data and determining its authenticity. The determination unit can also determine the authenticity of the creative work using the similarity calculation technology of the generation AI. For example, the determination unit determines whether a novel is authentic by having the generation AI analyze its writing style, theme, and expression methods and compare them with training data. This allows the authenticity determination system according to the embodiment to determine the authenticity of creative works with high accuracy. For example, as works by famous novelists are increasingly being imitated by generation AI, the authenticity determination system performs authenticity determination to protect the value of the original. The authenticity determination system can also determine the authenticity of artistic works such as paintings and photographs.

[0030] The memory can also simultaneously learn the cultural or historical context of a creative work. For example, when a generative AI studies a novel, it also simultaneously learns the historical and cultural context in which the novel was written. For example, when studying 19th-century French literature, it also incorporates the social conditions and cultural characteristics of that era. When studying a painting, the memory also simultaneously learns the art history and artistic movements of the era in which the painting was created. For example, when studying Renaissance paintings, it also learns the characteristics of Renaissance art and other works that influenced it. When studying a photograph, the memory also simultaneously learns the historical background of the place and era in which the photograph was taken. For example, when studying wartime photographs, it also learns the history of that war and other photographs that influenced it. This makes it possible to determine the authenticity of a creative work while taking into account its cultural and historical context.

[0031] The memory unit can also learn the creative process or the author's intentions for a creative work. For example, when studying a novel, the memory unit will study notes and interviews from the creative process to understand the author's intentions in writing the story. For example, it will analyze the author's interview articles and production notes to understand the intentions of the work. When studying a painting, the memory unit will study sketches and notes from the creative process to understand the techniques used by the artist to create the work. For example, it will analyze the artist's sketchbook and photographs of the creative process to understand the techniques. When studying a photograph, the memory unit will study notes and interviews from the time of shooting to understand the photographer's intentions in taking the photograph. For example, it will analyze the photographer's interview articles and photography notes to understand the intentions. This makes it possible to determine the authenticity of a creative work while taking into account the creative process and the author's intentions.

[0032] The memory unit can simultaneously learn audio or video data and make authenticity determinations based on multimodal information. For example, when learning about a novel, the memory unit simultaneously learns about audiobooks and film adaptations and makes authenticity determinations based on audio and video information. For example, it analyzes the narration of an audiobook or a scene from a film. When learning about a painting, the memory unit simultaneously learns about video of the production process and audio commentary and makes authenticity determinations based on the video and audio information. For example, it analyzes documentary video of the production process and audio commentary. When learning about a photograph, the memory unit simultaneously learns about video footage and audio interviews from the time of shooting and makes authenticity determinations based on the video and audio information. For example, it analyzes video footage from the shooting site and audio interviews with the photographer. This makes it possible to make authenticity determinations that take audio and video data into consideration.

[0033] The memory unit can learn from creative works of different genres and make authenticity judgments for a wide range of creative works. For example, the memory unit can learn not only novels but also musical works, analyzing the rhythm and melody of the music to make authenticity judgments. For example, it can learn the style of a specific composer and the characteristics of the music. The memory unit can also learn from performing arts, not just paintings, and analyze the characteristics of acting and stage sets to make authenticity judgments. For example, it can learn the style of a specific director and the characteristics of the stage. The memory unit can also learn from films, not just photographs, and analyze the composition and editing techniques of the images to make authenticity judgments. For example, it can learn the style of a specific film director and the characteristics of the images. This makes it possible to make authenticity judgments for creative works of a wide range of genres.

[0034] The determination unit analyzes the fine details of creative works, enabling more accurate determinations. For example, when determining the authenticity of a novel, the determination unit analyzes subtle changes in writing style and vocabulary choice, making a determination based on the characteristics of a specific author. For example, it analyzes the rhythm of the writing style and the frequency of vocabulary. When determining the authenticity of a painting, the determination unit analyzes subtle differences in brushstrokes and the use of color, making a determination based on the characteristics of a specific painter. For example, it analyzes the movement of the brush and the way colors are layered. When determining the authenticity of a photograph, the determination unit analyzes subtle differences in shooting techniques and composition, making a determination based on the characteristics of a specific photographer. For example, it analyzes the use of light and the placement of the subject. This enables highly accurate authenticity determinations by analyzing the fine details of creative works.

[0035] The determination unit can also analyze the physical characteristics of creative works and determine authenticity based on these physical characteristics. For example, when determining the authenticity of a novel, the determination unit analyzes the paper quality and type of ink, making a determination based on the characteristics of a specific era or publisher. For example, the determination unit analyzes the texture of the paper and the color of the ink. When determining the authenticity of a painting, the determination unit analyzes the material of the canvas and the type of paint, making a determination based on the characteristics of a specific artist or era. For example, the determination unit analyzes the weave of the canvas and the ingredients of the paint. When determining the authenticity of a photograph, the determination unit analyzes the printing paper and development method, making a determination based on the characteristics of a specific photographer or era. For example, the determination unit analyzes the texture of the printing paper and the differences in the development method. This makes it possible to determine authenticity taking physical characteristics into account.

[0036] The determination unit can also analyze creative works in different languages ​​to perform multilingual authenticity determinations. For example, when determining the authenticity of a novel, the determination unit also analyzes translated versions written in different languages ​​to perform multilingual authenticity determinations. For example, the determination unit analyzes translations of the English and French versions. Furthermore, when determining the authenticity of a painting, the determination unit also analyzes commentaries and reviews written in different languages ​​to perform multilingual authenticity determinations. For example, the determination unit analyzes commentaries in English and Spanish. Furthermore, when determining the authenticity of a photograph, the determination unit also analyzes captions and explanatory text written in different languages ​​to perform multilingual authenticity determinations. For example, the determination unit analyzes captions in English and Chinese. This makes it possible to perform multilingual authenticity determinations.

[0037] The determination unit can also consider the market value or evaluation data of the creative work to determine authenticity from an economic perspective. For example, when determining the authenticity of a novel, the determination unit considers the market value and evaluation data of the novel to determine authenticity from an economic perspective. For example, it analyzes bestseller lists and reader evaluations. When determining the authenticity of a painting, the determination unit considers the auction price of the painting and the evaluation of the art museum to determine authenticity from an economic perspective. For example, it analyzes the auction winning bid price and the exhibition history of the art museum. When determining the authenticity of a photograph, the determination unit considers the selling price of the photograph and the evaluation of photojournalism to determine authenticity from an economic perspective. For example, it analyzes the sales history of the photograph and photojournalism awards. This makes it possible to determine authenticity from an economic perspective.

[0038] The determination unit can analyze the details of creative works in the literary field to make more accurate determinations. For example, when determining the authenticity of a novel, the determination unit analyzes subtle changes in writing style and vocabulary choice, making a determination based on the characteristics of a specific author. For example, the determination unit analyzes the rhythm of the writing style and the frequency of vocabulary. When determining the authenticity of a poem, the determination unit analyzes subtle differences in the rhythm and meter of the poem, making a determination based on the characteristics of a specific poet. For example, the determination unit analyzes the pattern of meter and changes in rhythm. When determining the authenticity of a play, the determination unit analyzes subtle differences in the rhythm of the lines and the language used by characters, making a determination based on the characteristics of a specific playwright. For example, the determination unit analyzes the rhythm of the lines and the language used by characters. This enables highly accurate authenticity determinations in the literary field.

[0039] In the literary field, the determination unit can also analyze the physical characteristics of creative works and determine their authenticity based on these physical characteristics. For example, when determining the authenticity of a novel, the determination unit analyzes the paper quality and type of ink and makes a determination based on the characteristics of a specific era or publisher. For example, the determination unit analyzes the texture of the paper and the color of the ink. When determining the authenticity of a poetry collection, the determination unit analyzes the paper quality and binding characteristics and makes a determination based on the characteristics of a specific poet or publisher. For example, the determination unit analyzes the texture of the paper and the binding design. When determining the authenticity of a play, the determination unit analyzes the paper quality and printing method of the script and makes a determination based on the characteristics of a specific playwright or publisher. For example, the determination unit analyzes the texture of the paper and the printing technique. This makes it possible to determine authenticity in the literary field by taking physical characteristics into consideration.

[0040] The determination unit can perform multilingual authenticity determination in the literary field by including creative works in different languages ​​in the analysis targets. For example, when determining the authenticity of a novel, the determination unit also includes translated versions written in different languages ​​in the analysis targets, performing multilingual authenticity determination. For example, the determination unit analyzes translations of the English and French versions. Furthermore, when determining the authenticity of a poem, the determination unit also includes translated versions written in different languages ​​in the analysis targets, performing multilingual authenticity determination. For example, the determination unit analyzes translations of the Spanish and German versions. Furthermore, when determining the authenticity of a play, the determination unit also includes translated versions written in different languages ​​in the analysis targets, performing multilingual authenticity determination. For example, the determination unit analyzes translations of the Italian and Russian versions. This makes it possible to perform multilingual authenticity determination in the literary field.

[0041] In the literary field, the determination unit can also consider the market value or evaluation data of a creative work to determine its authenticity from an economic perspective. For example, when determining the authenticity of a novel, the determination unit considers the novel's market value and evaluation data to determine its authenticity from an economic perspective. For example, it analyzes bestseller lists and reader evaluations. When determining the authenticity of a poetry collection, the determination unit considers the poetry collection's market value and evaluation data to determine its authenticity from an economic perspective. For example, it analyzes the number of sales of the poetry collection and reader evaluations. When determining the authenticity of a play, the determination unit considers the play's market value and evaluation data to determine its authenticity from an economic perspective. For example, it analyzes the number of performances at the theater and audience evaluations. This makes it possible to determine authenticity from an economic perspective in the literary field.

[0042] The determination unit can analyze the details of creative works in other creative genres and make more accurate determinations. For example, when determining the authenticity of a painting, the determination unit analyzes subtle differences in brushstrokes and the use of color, making a determination based on the characteristics of a specific painter. For example, the determination unit analyzes brush strokes and the way colors are layered. When determining the authenticity of a photograph, the determination unit analyzes subtle differences in shooting techniques and composition, making a determination based on the characteristics of a specific photographer. For example, the determination unit analyzes the use of light and the placement of the subject. When determining the authenticity of a musical work, the determination unit analyzes subtle differences in melody and rhythm, making a determination based on the characteristics of a specific composer. For example, the determination unit analyzes changes in melody patterns and rhythm. This enables highly accurate authenticity determinations in other creative genres.

[0043] The determination unit can also analyze the physical characteristics of creative works in other creative genres and determine their authenticity based on these physical characteristics. For example, when determining the authenticity of a painting, the determination unit analyzes the canvas material and type of paint, making a determination based on the characteristics of a specific artist or era. For example, the determination unit analyzes the weave of the canvas and the composition of the paint. When determining the authenticity of a photograph, the determination unit analyzes the printing paper and development method, making a determination based on the characteristics of a specific photographer or era. For example, the determination unit analyzes the texture of the printing paper and the differences in the development method. When determining the authenticity of a musical work, the determination unit analyzes the paper quality and printing method of the sheet music, making a determination based on the characteristics of a specific composer or publisher. For example, the determination unit analyzes the paper quality and printing technique of the sheet music. This makes it possible to perform authenticity determination that takes physical characteristics into account in other creative genres.

[0044] The determination unit can perform multilingual authenticity determination by including creative works written in different languages ​​in the analysis targets for other creative genres. For example, when determining the authenticity of a painting, the determination unit also analyzes commentaries and reviews written in different languages ​​to perform multilingual authenticity determination. For example, the determination unit analyzes commentaries in English and Spanish. Furthermore, when determining the authenticity of a photograph, the determination unit also analyzes captions and explanatory text written in different languages ​​to perform multilingual authenticity determination. For example, the determination unit analyzes captions in English and Chinese. Furthermore, when determining the authenticity of a musical work, the determination unit also analyzes sheet music and commentaries written in different languages ​​to perform multilingual authenticity determination. For example, the determination unit analyzes sheet music and commentaries in English and French. This enables multilingual authenticity determination in other creative genres.

[0045] The determination unit can also consider market value or evaluation data of creative works in other creative genres to determine authenticity from an economic perspective. For example, when determining the authenticity of a painting, the determination unit considers the auction price of the painting and the evaluation of the art museum to determine authenticity from an economic perspective. For example, the determination unit analyzes the winning bid price at the auction and the exhibition history of the art museum. When determining the authenticity of a photograph, the determination unit considers the selling price of the photograph and the evaluation of photojournalism to determine authenticity from an economic perspective. For example, the determination unit analyzes the sales history of the photograph and photojournalism awards. When determining the authenticity of a musical work, the determination unit considers the sales volume of the song and the evaluation of music critics to determine authenticity from an economic perspective. For example, the determination unit analyzes the sales volume of the song and the reviews of music critics. This makes it possible to determine authenticity from an economic perspective in other creative genres.

[0046] The determination unit can analyze the details of creative works to make more accurate determinations according to the needs of authenticity determination. For example, when determining the authenticity of a novel, the determination unit analyzes subtle changes in writing style and vocabulary choice, making a determination based on the characteristics of a specific author. For example, it analyzes the rhythm of the writing style and the frequency of vocabulary. When determining the authenticity of a painting, the determination unit analyzes subtle differences in brushstrokes and the use of color, making a determination based on the characteristics of a specific painter. For example, it analyzes the movement of the brush and the way colors are layered. When determining the authenticity of a photograph, the determination unit analyzes subtle differences in shooting technique and composition, making a determination based on the characteristics of a specific photographer. For example, it analyzes the use of light and the placement of the subject. This enables highly accurate authenticity determinations according to the needs of authenticity determination.

[0047] The determination unit can also analyze the physical characteristics of the creative work and determine its authenticity based on the physical characteristics, depending on the needs of authenticity determination. For example, when determining the authenticity of a novel, the determination unit analyzes the paper quality and type of ink and makes a determination based on the characteristics of a specific era or publisher. For example, the determination unit analyzes the texture of the paper and the color of the ink. When determining the authenticity of a painting, the determination unit analyzes the material of the canvas and the type of paint and makes a determination based on the characteristics of a specific artist or era. For example, the determination unit analyzes the weave of the canvas and the composition of the paint. When determining the authenticity of a photograph, the determination unit analyzes the printing paper and developing method and makes a determination based on the characteristics of a specific photographer or era. For example, the determination unit analyzes the texture of the printing paper and the differences in the developing method. This makes it possible to perform authenticity determination taking physical characteristics into account, depending on the needs of authenticity determination.

[0048] The determination unit can analyze creative works in different languages ​​to perform multilingual authenticity determination according to the needs of authenticity determination. For example, when determining the authenticity of a novel, the determination unit also analyzes translated versions written in different languages ​​to perform multilingual authenticity determination. For example, the determination unit analyzes translations of the English and French versions. Furthermore, when determining the authenticity of a painting, the determination unit also analyzes commentaries and reviews written in different languages ​​to perform multilingual authenticity determination. For example, the determination unit analyzes commentaries in English and Spanish. Furthermore, when determining the authenticity of a photograph, the determination unit also analyzes captions and explanatory text written in different languages ​​to perform multilingual authenticity determination. For example, the determination unit analyzes captions in English and Chinese. This enables multilingual authenticity determination according to the needs of authenticity determination.

[0049] The determination unit can also take into account the market value or evaluation data of the creative work to determine authenticity from an economic perspective, depending on the needs for authenticity determination. For example, when determining the authenticity of a novel, the determination unit takes into account the novel's market value and evaluation data to determine authenticity from an economic perspective. For example, it analyzes bestseller lists and reader evaluations. When determining the authenticity of a painting, the determination unit takes into account the painting's auction price and museum evaluation to determine authenticity from an economic perspective. For example, it analyzes the auction winning bid price and the museum's exhibition history. When determining the authenticity of a photograph, the determination unit takes into account the photograph's sales price and photojournalism evaluation to determine authenticity from an economic perspective. For example, it analyzes the photograph's sales history and photojournalism awards. This makes it possible to determine authenticity from an economic perspective depending on the needs for authenticity determination.

[0050] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0051] The determination unit can also analyze the physical characteristics of creative works and determine authenticity based on these physical characteristics. For example, when determining the authenticity of a novel, the determination unit analyzes the paper quality and type of ink and makes a determination based on the characteristics of a specific era or publisher. For example, it analyzes the texture of the paper and the color of the ink. When determining the authenticity of a painting, the determination unit analyzes the canvas material and type of paint and makes a determination based on the characteristics of a specific artist or era. For example, it analyzes the weave of the canvas and the ingredients of the paint. When determining the authenticity of a photograph, the determination unit analyzes the printing paper and development method and makes a determination based on the characteristics of a specific photographer or era. For example, it analyzes differences in the texture of the printing paper and development method. This makes it possible to determine authenticity taking physical characteristics into account.

[0052] The determination unit can analyze creative works in different languages ​​and perform multilingual authenticity determination. For example, when determining the authenticity of a novel, it also analyzes translated versions written in different languages ​​and performs multilingual authenticity determination. For example, it analyzes translations of the English and French versions. When determining the authenticity of a painting, it also analyzes commentaries and reviews written in different languages ​​and performs multilingual authenticity determination. For example, it analyzes commentaries in English and Spanish. When determining the authenticity of a photograph, it also analyzes captions and explanatory text written in different languages ​​and performs multilingual authenticity determination. For example, it analyzes captions in English and Chinese. This makes it possible to perform multilingual authenticity determination.

[0053] The determination unit can also consider the market value or evaluation data of creative works to determine authenticity from an economic perspective. For example, when determining the authenticity of a novel, the determination unit considers the market value and evaluation data of the novel to determine authenticity from an economic perspective. For example, best-seller lists and reader evaluations are analyzed. When determining the authenticity of a painting, the determination unit considers the auction price of the painting and the evaluation of the art museum to determine authenticity from an economic perspective. For example, the auction winning bid price and the exhibition history of the art museum are analyzed. When determining the authenticity of a photograph, the determination unit considers the selling price of the photograph and the evaluation of photojournalism to determine authenticity from an economic perspective. For example, the sales history of the photograph and photojournalism awards are analyzed. This makes it possible to determine authenticity from an economic perspective.

[0054] The determination unit can analyze the fine details of creative works to make more accurate determinations. For example, when determining the authenticity of a novel, it analyzes subtle changes in writing style and vocabulary choice, making a determination based on the characteristics of a specific author. For example, it analyzes the rhythm of the writing style and the frequency of vocabulary. When determining the authenticity of a painting, the determination unit analyzes subtle differences in brushstrokes and the use of color, making a determination based on the characteristics of a specific painter. For example, it analyzes the brush strokes and the way colors are layered. When determining the authenticity of a photograph, the determination unit analyzes subtle differences in shooting techniques and composition, making a determination based on the characteristics of a specific photographer. For example, it analyzes the use of light and the placement of the subject. This makes it possible to analyze the fine details of creative works to make highly accurate determinations of authenticity.

[0055] The judgment unit can also learn the creative process or the author's intentions. For example, when studying a novel, it will study notes and interviews from the creative process to understand the author's intentions in writing the story. For example, it will analyze the author's interview articles and production notes to understand the intention of the work. When studying a painting, it will study sketches and notes from the creative process to understand the technique the artist used to create the work. For example, it will analyze the artist's sketchbook and photographs of the creative process to understand the technique. When studying a photograph, it will study notes and interviews from the time of shooting to understand the photographer's intentions in taking the photograph. For example, it will analyze the photographer's interview articles and photography notes to understand the intentions. This makes it possible to judge authenticity taking into account the creative process and the author's intentions.

[0056] The determination unit can simultaneously learn audio or video data and make authenticity determinations based on multimodal information. For example, when learning about a novel, it also simultaneously learns about audiobooks and film adaptations, and makes authenticity determinations based on audio and video information. For example, it analyzes the narration in an audiobook or a scene from a film. When learning about a painting, it also simultaneously learns about video of the production process and audio commentary, and makes authenticity determinations based on the video and audio information. For example, it analyzes documentary video of the production process and audio commentary. When learning about a photograph, it also simultaneously learns about video footage and audio interviews from the time of shooting, and makes authenticity determinations based on the video and audio information. For example, it analyzes video footage from the shooting site and audio interviews with the photographer. This makes it possible to make authenticity determinations that take audio and video data into consideration.

[0057] The judgment unit can also learn from creative works of different genres, making it possible to judge the authenticity of a wide range of creative works. For example, it can learn not only novels but also musical works, analyzing the rhythm and melody of the music to make authenticity judgments. For example, it can learn the style of a particular composer and the characteristics of the music. The judgment unit can also learn from performing arts, not just paintings, analyzing the characteristics of the acting and stage sets to make authenticity judgments. For example, it can learn the style of a particular director and the characteristics of the stage. The judgment unit can also learn from photographs, not just films, analyzing the composition and editing techniques of the images to make authenticity judgments. For example, it can learn the style of a particular film director and the characteristics of the images. This makes it possible to judge the authenticity of creative works of a wide range of genres.

[0058] The processing flow of the first embodiment will be briefly explained below.

[0059] Step 1: The storage unit stores data of the creative work. For example, the storage unit can collect and store data such as novels, paintings, and photographs. The storage unit can also store analog data as well as digital data. For example, the storage unit can store scanned image data and audio data. Step 2: The learning unit learns the data of the creative work stored by the memory unit. For example, the learning unit uses the generation AI to analyze the stored data and learn its characteristics. The learning unit can also use the generation AI's natural language processing technology to learn the style, theme, and expression methods of the creative work. For example, the learning unit uses the generation AI to analyze the style of a novel and learn its characteristics. Step 3: The judgment unit determines the authenticity of the creative work based on the data learned by the learning unit. For example, the judgment unit analyzes newly input creative work data by comparing it with the learning data and determines its authenticity. The judgment unit can also determine the authenticity of the creative work using the similarity calculation technology possessed by the generation AI. For example, the judgment unit uses the generation AI to analyze the style, theme, and expression of a novel and compares it with the learning data to determine its authenticity.

[0060] (Example 2) The authenticity determination system according to an embodiment of the present invention is a system in which a generative AI stores data on a creative work and compares it with learning data to determine authenticity. This allows the authenticity determination system to protect the value of authenticity in an age in which "likely ____" creative works created by generative AI are expected to circulate.

[0061] The authenticity determination system according to the embodiment includes a memory unit, a learning unit, and a determination unit. The memory unit stores data of creative works. For example, the memory unit can collect and store data such as novels, paintings, and photographs. The memory unit can also store analog data as well as digital data. For example, the memory unit can store scanned image data and audio data. The learning unit learns the creative work data stored by the memory unit. For example, the learning unit uses a generation AI to analyze the stored data and learn its characteristics. The learning unit can also learn the style, theme, and expression method of the creative work using the natural language processing technology of the generation AI. For example, the learning unit uses the generation AI to analyze the style of a novel and learn its characteristics. The determination unit determines the authenticity of the creative work based on the data learned by the learning unit. For example, the determination unit analyzes newly input creative work data by comparing it with the learning data and determining its authenticity. The determination unit can also determine the authenticity of the creative work using the similarity calculation technology of the generation AI. For example, the determination unit determines whether a novel is authentic by having the generation AI analyze its writing style, theme, and expression methods and compare them with training data. This allows the authenticity determination system according to the embodiment to determine the authenticity of creative works with high accuracy. For example, as works by famous novelists are increasingly being imitated by generation AI, the authenticity determination system performs authenticity determination to protect the value of the original. The authenticity determination system can also determine the authenticity of artistic works such as paintings and photographs.

[0062] The memory can also simultaneously learn the cultural or historical context of a creative work. For example, when a generative AI studies a novel, it also simultaneously learns the historical and cultural context in which the novel was written. For example, when studying 19th-century French literature, it also incorporates the social conditions and cultural characteristics of that era. When studying a painting, the memory also simultaneously learns the art history and artistic movements of the era in which the painting was created. For example, when studying Renaissance paintings, it also learns the characteristics of Renaissance art and other works that influenced it. When studying a photograph, the memory also simultaneously learns the historical background of the place and era in which the photograph was taken. For example, when studying wartime photographs, it also learns the history of that war and other photographs that influenced it. This makes it possible to determine the authenticity of a creative work while taking into account its cultural and historical context.

[0063] The memory unit can also learn the creative process or the author's intentions for a creative work. For example, when studying a novel, the memory unit will study notes and interviews from the creative process to understand the author's intentions in writing the story. For example, it will analyze the author's interview articles and production notes to understand the intentions of the work. When studying a painting, the memory unit will study sketches and notes from the creative process to understand the techniques used by the artist to create the work. For example, it will analyze the artist's sketchbook and photographs of the creative process to understand the techniques. When studying a photograph, the memory unit will study notes and interviews from the time of shooting to understand the photographer's intentions in taking the photograph. For example, it will analyze the photographer's interview articles and photography notes to understand the intentions. This makes it possible to determine the authenticity of a creative work while taking into account the creative process and the author's intentions.

[0064] The memory unit can use the emotion estimation function to add emotional features of creative works to the training data. For example, when learning a novel, the memory unit analyzes the emotions of characters and the emotional flow of the story and adds emotional features to the training data. For example, it analyzes changes in the emotions of characters and the emotions at the climax of the story. When learning a painting, the memory unit analyzes the emotions the artist put into the work and the emotional effect of colors and adds emotional features to the training data. For example, it analyzes the emotional meaning of color selection and brushstrokes. When learning a photograph, the memory unit analyzes the emotions the photographer felt toward the subject and the emotional impact of the photograph and adds emotional features to the training data. For example, it analyzes the emotional effect of the subject's facial expression and composition. This makes it possible to determine the authenticity of creative works by taking the emotional features of the work into consideration.

[0065] The memory unit can simultaneously learn audio or video data and make authenticity determinations based on multimodal information. For example, when learning about a novel, the memory unit simultaneously learns about audiobooks and film adaptations and makes authenticity determinations based on audio and video information. For example, it analyzes the narration of an audiobook or a scene from a film. When learning about a painting, the memory unit simultaneously learns about video of the production process and audio commentary and makes authenticity determinations based on the video and audio information. For example, it analyzes documentary video of the production process and audio commentary. When learning about a photograph, the memory unit simultaneously learns about video footage and audio interviews from the time of shooting and makes authenticity determinations based on the video and audio information. For example, it analyzes video footage from the shooting site and audio interviews with the photographer. This makes it possible to make authenticity determinations that take audio and video data into consideration.

[0066] The memory unit can learn from creative works of different genres and make authenticity judgments for a wide range of creative works. For example, the memory unit can learn not only novels but also musical works, analyzing the rhythm and melody of the music to make authenticity judgments. For example, it can learn the style of a specific composer and the characteristics of the music. The memory unit can also learn from performing arts, not just paintings, and analyze the characteristics of acting and stage sets to make authenticity judgments. For example, it can learn the style of a specific director and the characteristics of the stage. The memory unit can also learn from films, not just photographs, and analyze the composition and editing techniques of the images to make authenticity judgments. For example, it can learn the style of a specific film director and the characteristics of the images. This makes it possible to make authenticity judgments for creative works of a wide range of genres.

[0067] The memory unit can use the emotion estimation function to collect users' emotional reactions and add them to the learning data. For example, when studying a novel, the memory unit collects the emotional reactions of readers when they read the novel and adds them to the learning data. For example, the memory unit analyzes readers' reviews and impressions to learn their emotional reactions. When studying a painting, the memory unit collects the emotional reactions of viewers when they look at the painting and adds them to the learning data. For example, the memory unit analyzes viewers' reactions and comments at an art museum to learn their emotional reactions. When studying a photograph, the memory unit collects the emotional reactions of viewers when they look at the photograph and adds them to the learning data. For example, the memory unit analyzes viewers' reactions and comments at a photo exhibition to learn their emotional reactions. This makes it possible to determine authenticity taking the user's emotional reactions into consideration.

[0068] The determination unit analyzes the fine details of creative works, enabling more accurate determinations. For example, when determining the authenticity of a novel, the determination unit analyzes subtle changes in writing style and vocabulary choice, making a determination based on the characteristics of a specific author. For example, it analyzes the rhythm of the writing style and the frequency of vocabulary. When determining the authenticity of a painting, the determination unit analyzes subtle differences in brushstrokes and the use of color, making a determination based on the characteristics of a specific painter. For example, it analyzes the movement of the brush and the way colors are layered. When determining the authenticity of a photograph, the determination unit analyzes subtle differences in shooting techniques and composition, making a determination based on the characteristics of a specific photographer. For example, it analyzes the use of light and the placement of the subject. This enables highly accurate authenticity determinations by analyzing the fine details of creative works.

[0069] The determination unit can also analyze the physical characteristics of creative works and determine authenticity based on these physical characteristics. For example, when determining the authenticity of a novel, the determination unit analyzes the paper quality and type of ink, making a determination based on the characteristics of a specific era or publisher. For example, the determination unit analyzes the texture of the paper and the color of the ink. When determining the authenticity of a painting, the determination unit analyzes the material of the canvas and the type of paint, making a determination based on the characteristics of a specific artist or era. For example, the determination unit analyzes the weave of the canvas and the ingredients of the paint. When determining the authenticity of a photograph, the determination unit analyzes the printing paper and development method, making a determination based on the characteristics of a specific photographer or era. For example, the determination unit analyzes the texture of the printing paper and the differences in the development method. This makes it possible to determine authenticity taking physical characteristics into account.

[0070] The determination unit can use the emotion estimation function to analyze the emotions implied or expressed in a creative work and determine its authenticity based on the degree of emotional consistency. For example, when determining the authenticity of a novel, the determination unit analyzes the emotions of the characters and the emotional flow of the story and determines the authenticity based on the degree of emotional consistency. For example, the determination unit analyzes the changes in the characters' emotions and the emotions at the climax of the story. When determining the authenticity of a painting, the determination unit analyzes the emotions the artist put into the work and the emotional effect of the colors and determines the authenticity based on the degree of emotional consistency. For example, the determination unit analyzes the emotional meaning of the color selection and brushstrokes. When determining the authenticity of a photograph, the determination unit analyzes the emotions the photographer felt toward the subject and the emotional impact of the photograph and determines the authenticity based on the degree of emotional consistency. For example, the determination unit analyzes the emotional effect of the subject's facial expression and composition. This enables authenticity determination that takes emotional characteristics into consideration.

[0071] The determination unit can also analyze creative works in different languages ​​to perform multilingual authenticity determinations. For example, when determining the authenticity of a novel, the determination unit also analyzes translated versions written in different languages ​​to perform multilingual authenticity determinations. For example, the determination unit analyzes translations of the English and French versions. Furthermore, when determining the authenticity of a painting, the determination unit also analyzes commentaries and reviews written in different languages ​​to perform multilingual authenticity determinations. For example, the determination unit analyzes commentaries in English and Spanish. Furthermore, when determining the authenticity of a photograph, the determination unit also analyzes captions and explanatory text written in different languages ​​to perform multilingual authenticity determinations. For example, the determination unit analyzes captions in English and Chinese. This makes it possible to perform multilingual authenticity determinations.

[0072] The determination unit can also consider the market value or evaluation data of the creative work to determine authenticity from an economic perspective. For example, when determining the authenticity of a novel, the determination unit considers the market value and evaluation data of the novel to determine authenticity from an economic perspective. For example, it analyzes bestseller lists and reader evaluations. When determining the authenticity of a painting, the determination unit considers the auction price of the painting and the evaluation of the art museum to determine authenticity from an economic perspective. For example, it analyzes the auction winning bid price and the exhibition history of the art museum. When determining the authenticity of a photograph, the determination unit considers the selling price of the photograph and the evaluation of photojournalism to determine authenticity from an economic perspective. For example, it analyzes the sales history of the photograph and photojournalism awards. This makes it possible to determine authenticity from an economic perspective.

[0073] The determination unit can use the emotion estimation function to monitor the user's emotional reactions in real time and determine authenticity based on the degree of emotional coincidence. For example, when determining the authenticity of a novel, the determination unit monitors the reader's emotional reactions in real time and determines authenticity based on the degree of emotional coincidence. For example, the determination unit analyzes the reader's facial expressions and voice and calculates an emotion score. When determining the authenticity of a painting, the determination unit monitors the viewer's emotional reactions in real time and determines authenticity based on the degree of emotional coincidence. For example, the determination unit analyzes the viewer's reactions and comments at an art museum and calculates an emotion score. When determining the authenticity of a photograph, the determination unit monitors the viewer's emotional reactions in real time and determines authenticity based on the degree of emotional coincidence. For example, the determination unit analyzes the viewer's reactions and comments at a photo exhibition and calculates an emotion score. In this way, by monitoring the user's emotional reactions in real time, it is possible to determine authenticity based on the degree of emotional coincidence.

[0074] The determination unit can analyze the details of creative works in the literary field to make more accurate determinations. For example, when determining the authenticity of a novel, the determination unit analyzes subtle changes in writing style and vocabulary choice, making a determination based on the characteristics of a specific author. For example, the determination unit analyzes the rhythm of the writing style and the frequency of vocabulary. When determining the authenticity of a poem, the determination unit analyzes subtle differences in the rhythm and meter of the poem, making a determination based on the characteristics of a specific poet. For example, the determination unit analyzes the pattern of meter and changes in rhythm. When determining the authenticity of a play, the determination unit analyzes subtle differences in the rhythm of the lines and the language used by characters, making a determination based on the characteristics of a specific playwright. For example, the determination unit analyzes the rhythm of the lines and the language used by characters. This enables highly accurate authenticity determinations in the literary field.

[0075] In the literary field, the determination unit can also analyze the physical characteristics of creative works and determine their authenticity based on these physical characteristics. For example, when determining the authenticity of a novel, the determination unit analyzes the paper quality and type of ink and makes a determination based on the characteristics of a specific era or publisher. For example, the determination unit analyzes the texture of the paper and the color of the ink. When determining the authenticity of a poetry collection, the determination unit analyzes the paper quality and binding characteristics and makes a determination based on the characteristics of a specific poet or publisher. For example, the determination unit analyzes the texture of the paper and the binding design. When determining the authenticity of a play, the determination unit analyzes the paper quality and printing method of the script and makes a determination based on the characteristics of a specific playwright or publisher. For example, the determination unit analyzes the texture of the paper and the printing technique. This makes it possible to determine authenticity in the literary field by taking physical characteristics into consideration.

[0076] In the literary domain, the determination unit can use the emotion estimation function to analyze emotions implied or expressed in a creative work and determine its authenticity based on the degree of emotional consistency. For example, when determining the authenticity of a novel, the determination unit analyzes the emotions of the characters and the emotional flow of the story and determines the authenticity based on the degree of emotional consistency. For example, the determination unit analyzes changes in the emotions of the characters and the emotions at the climax of the story. When determining the authenticity of a poem, the determination unit analyzes the emotional expressions and rhythm of the poem and determines the authenticity based on the degree of emotional consistency. For example, the determination unit analyzes changes in the emotional tone and rhythm of the poem. When determining the authenticity of a play, the determination unit analyzes the emotions of the characters and the emotional expressions of the dialogue and determines the authenticity based on the degree of emotional consistency. For example, the determination unit analyzes changes in the emotions of the characters and the emotional tone of the dialogue. This enables authenticity determination that takes emotional characteristics into account in the literary domain.

[0077] The determination unit can perform multilingual authenticity determination in the literary field by including creative works in different languages ​​in the analysis targets. For example, when determining the authenticity of a novel, the determination unit also includes translated versions written in different languages ​​in the analysis targets, performing multilingual authenticity determination. For example, the determination unit analyzes translations of the English and French versions. Furthermore, when determining the authenticity of a poem, the determination unit also includes translated versions written in different languages ​​in the analysis targets, performing multilingual authenticity determination. For example, the determination unit analyzes translations of the Spanish and German versions. Furthermore, when determining the authenticity of a play, the determination unit also includes translated versions written in different languages ​​in the analysis targets, performing multilingual authenticity determination. For example, the determination unit analyzes translations of the Italian and Russian versions. This makes it possible to perform multilingual authenticity determination in the literary field.

[0078] In the literary field, the determination unit can also consider the market value or evaluation data of a creative work to determine its authenticity from an economic perspective. For example, when determining the authenticity of a novel, the determination unit considers the novel's market value and evaluation data to determine its authenticity from an economic perspective. For example, it analyzes bestseller lists and reader evaluations. When determining the authenticity of a poetry collection, the determination unit considers the poetry collection's market value and evaluation data to determine its authenticity from an economic perspective. For example, it analyzes the number of sales of the poetry collection and reader evaluations. When determining the authenticity of a play, the determination unit considers the play's market value and evaluation data to determine its authenticity from an economic perspective. For example, it analyzes the number of performances at the theater and audience evaluations. This makes it possible to determine authenticity from an economic perspective in the literary field.

[0079] In the literary domain, the determination unit can use the emotion estimation function to monitor a user's emotional reactions in real time and determine authenticity based on the degree of emotional coincidence. For example, when determining the authenticity of a novel, the determination unit monitors a reader's emotional reactions in real time and determines authenticity based on the degree of emotional coincidence. For example, the determination unit analyzes the reader's facial expressions and voice and calculates an emotion score. Furthermore, when determining the authenticity of a poem, the determination unit monitors the reader's emotional reactions in real time and determines authenticity based on the degree of emotional coincidence. For example, the determination unit analyzes the reader's facial expressions and voice and calculates an emotion score. Furthermore, when determining the authenticity of a play, the determination unit monitors the audience's emotional reactions in real time and determines authenticity based on the degree of emotional coincidence. For example, the determination unit analyzes the audience's facial expressions and voice and calculates an emotion score. This makes it possible to determine authenticity based on the degree of emotional coincidence by monitoring a user's emotional reactions in real time in the literary domain.

[0080] The determination unit can analyze the details of creative works in other creative genres and make more accurate determinations. For example, when determining the authenticity of a painting, the determination unit analyzes subtle differences in brushstrokes and the use of color, making a determination based on the characteristics of a specific painter. For example, the determination unit analyzes brush strokes and the way colors are layered. When determining the authenticity of a photograph, the determination unit analyzes subtle differences in shooting techniques and composition, making a determination based on the characteristics of a specific photographer. For example, the determination unit analyzes the use of light and the placement of the subject. When determining the authenticity of a musical work, the determination unit analyzes subtle differences in melody and rhythm, making a determination based on the characteristics of a specific composer. For example, the determination unit analyzes changes in melody patterns and rhythm. This enables highly accurate authenticity determinations in other creative genres.

[0081] The determination unit can also analyze the physical characteristics of creative works in other creative genres and determine their authenticity based on these physical characteristics. For example, when determining the authenticity of a painting, the determination unit analyzes the canvas material and type of paint, making a determination based on the characteristics of a specific artist or era. For example, the determination unit analyzes the weave of the canvas and the composition of the paint. When determining the authenticity of a photograph, the determination unit analyzes the printing paper and development method, making a determination based on the characteristics of a specific photographer or era. For example, the determination unit analyzes the texture of the printing paper and the differences in the development method. When determining the authenticity of a musical work, the determination unit analyzes the paper quality and printing method of the sheet music, making a determination based on the characteristics of a specific composer or publisher. For example, the determination unit analyzes the paper quality and printing technique of the sheet music. This makes it possible to perform authenticity determination that takes physical characteristics into account in other creative genres.

[0082] The determination unit can use the emotion estimation function to analyze the emotions implied or expressed in a creative work in other creative genres and determine its authenticity based on the degree of emotional similarity. For example, when determining the authenticity of a painting, the determination unit analyzes the emotions the artist put into the work and the emotional effect of the colors, and determines the authenticity based on the degree of emotional similarity. For example, the determination unit analyzes the emotional meaning of the color selection and brushstrokes. When determining the authenticity of a photograph, the determination unit analyzes the emotions the photographer felt toward the subject and the emotional impact of the photograph, and determines the authenticity based on the degree of emotional similarity. For example, the determination unit analyzes the emotional effect of the subject's facial expression and composition. When determining the authenticity of a musical work, the determination unit analyzes the emotions the composer put into the music and the emotional expression of the performance, and determines the authenticity based on the degree of emotional similarity. For example, the determination unit analyzes the emotional tone of the melody and the nuances of the performance. This enables authenticity determination that takes emotional characteristics into account in other creative genres.

[0083] The determination unit can perform multilingual authenticity determination by including creative works written in different languages ​​in the analysis targets for other creative genres. For example, when determining the authenticity of a painting, the determination unit also analyzes commentaries and reviews written in different languages ​​to perform multilingual authenticity determination. For example, the determination unit analyzes commentaries in English and Spanish. Furthermore, when determining the authenticity of a photograph, the determination unit also analyzes captions and explanatory text written in different languages ​​to perform multilingual authenticity determination. For example, the determination unit analyzes captions in English and Chinese. Furthermore, when determining the authenticity of a musical work, the determination unit also analyzes sheet music and commentaries written in different languages ​​to perform multilingual authenticity determination. For example, the determination unit analyzes sheet music and commentaries in English and French. This enables multilingual authenticity determination in other creative genres.

[0084] The determination unit can also consider market value or evaluation data of creative works in other creative genres to determine authenticity from an economic perspective. For example, when determining the authenticity of a painting, the determination unit considers the auction price of the painting and the evaluation of the art museum to determine authenticity from an economic perspective. For example, the determination unit analyzes the winning bid price at the auction and the exhibition history of the art museum. When determining the authenticity of a photograph, the determination unit considers the selling price of the photograph and the evaluation of photojournalism to determine authenticity from an economic perspective. For example, the determination unit analyzes the sales history of the photograph and photojournalism awards. When determining the authenticity of a musical work, the determination unit considers the sales volume of the song and the evaluation of music critics to determine authenticity from an economic perspective. For example, the determination unit analyzes the sales volume of the song and the reviews of music critics. This makes it possible to determine authenticity from an economic perspective in other creative genres.

[0085] The determination unit can use the emotion estimation function to monitor users' emotional reactions in real time in other creative genres and determine authenticity based on the degree of emotional similarity. For example, when determining the authenticity of a painting, the determination unit monitors viewers' emotional reactions in real time and determines authenticity based on the degree of emotional similarity. For example, the determination unit analyzes viewers' reactions and comments at an art museum and calculates an emotion score. When determining the authenticity of a photograph, the determination unit monitors viewers' emotional reactions in real time and determines authenticity based on the degree of emotional similarity. For example, the determination unit analyzes viewers' reactions and comments at a photo exhibition and calculates an emotion score. When determining the authenticity of a musical work, the determination unit monitors audience's emotional reactions in real time and determines authenticity based on the degree of emotional similarity. For example, the determination unit analyzes audience's reactions and comments at a concert and calculates an emotion score. This makes it possible to determine authenticity based on the degree of emotional similarity by monitoring users' emotional reactions in other creative genres.

[0086] The determination unit can analyze the details of creative works to make more accurate determinations according to the needs of authenticity determination. For example, when determining the authenticity of a novel, the determination unit analyzes subtle changes in writing style and vocabulary choice, making a determination based on the characteristics of a specific author. For example, it analyzes the rhythm of the writing style and the frequency of vocabulary. When determining the authenticity of a painting, the determination unit analyzes subtle differences in brushstrokes and the use of color, making a determination based on the characteristics of a specific painter. For example, it analyzes the movement of the brush and the way colors are layered. When determining the authenticity of a photograph, the determination unit analyzes subtle differences in shooting technique and composition, making a determination based on the characteristics of a specific photographer. For example, it analyzes the use of light and the placement of the subject. This enables highly accurate authenticity determinations according to the needs of authenticity determination.

[0087] The determination unit can also analyze the physical characteristics of the creative work and determine its authenticity based on the physical characteristics, depending on the needs of authenticity determination. For example, when determining the authenticity of a novel, the determination unit analyzes the paper quality and type of ink and makes a determination based on the characteristics of a specific era or publisher. For example, the determination unit analyzes the texture of the paper and the color of the ink. When determining the authenticity of a painting, the determination unit analyzes the material of the canvas and the type of paint and makes a determination based on the characteristics of a specific artist or era. For example, the determination unit analyzes the weave of the canvas and the composition of the paint. When determining the authenticity of a photograph, the determination unit analyzes the printing paper and developing method and makes a determination based on the characteristics of a specific photographer or era. For example, the determination unit analyzes the texture of the printing paper and the differences in the developing method. This makes it possible to perform authenticity determination taking physical characteristics into account, depending on the needs of authenticity determination.

[0088] The determination unit can use the emotion estimation function to analyze the emotions implied or expressed in a creative work and determine its authenticity based on the degree of emotional consistency, depending on the needs of authenticity determination. For example, when determining the authenticity of a novel, the determination unit analyzes the emotions of the characters and the emotional flow of the story and determines the authenticity based on the degree of emotional consistency. For example, the determination unit analyzes the changes in the characters' emotions and the emotions at the climax of the story. When determining the authenticity of a painting, the determination unit analyzes the emotions the artist put into the work and the emotional effect of the colors and determines the authenticity based on the degree of emotional consistency. For example, the determination unit analyzes the emotional meaning of the color selection and brushstrokes. When determining the authenticity of a photograph, the determination unit analyzes the emotions the photographer felt toward the subject and the emotional impact of the photograph and determines the authenticity based on the degree of emotional consistency. For example, the determination unit analyzes the emotional effect of the subject's facial expression and composition. This enables authenticity determination that takes emotional characteristics into account depending on the needs of authenticity determination.

[0089] The determination unit can analyze creative works in different languages ​​to perform multilingual authenticity determination according to the needs of authenticity determination. For example, when determining the authenticity of a novel, the determination unit also analyzes translated versions written in different languages ​​to perform multilingual authenticity determination. For example, the determination unit analyzes translations of the English and French versions. Furthermore, when determining the authenticity of a painting, the determination unit also analyzes commentaries and reviews written in different languages ​​to perform multilingual authenticity determination. For example, the determination unit analyzes commentaries in English and Spanish. Furthermore, when determining the authenticity of a photograph, the determination unit also analyzes captions and explanatory text written in different languages ​​to perform multilingual authenticity determination. For example, the determination unit analyzes captions in English and Chinese. This enables multilingual authenticity determination according to the needs of authenticity determination.

[0090] The determination unit can also take into account the market value or evaluation data of the creative work to determine authenticity from an economic perspective, depending on the needs for authenticity determination. For example, when determining the authenticity of a novel, the determination unit takes into account the novel's market value and evaluation data to determine authenticity from an economic perspective. For example, it analyzes bestseller lists and reader evaluations. When determining the authenticity of a painting, the determination unit takes into account the painting's auction price and museum evaluation to determine authenticity from an economic perspective. For example, it analyzes the auction winning bid price and the museum's exhibition history. When determining the authenticity of a photograph, the determination unit takes into account the photograph's sales price and photojournalism evaluation to determine authenticity from an economic perspective. For example, it analyzes the photograph's sales history and photojournalism awards. This makes it possible to determine authenticity from an economic perspective depending on the needs for authenticity determination.

[0091] The determination unit can use the emotion estimation function to monitor the user's emotional reactions in real time according to the needs of authenticity determination and determine authenticity based on the degree of emotional coincidence. For example, when determining the authenticity of a novel, the determination unit monitors the reader's emotional reactions in real time and determines authenticity based on the degree of emotional coincidence. For example, the determination unit analyzes the reader's facial expressions and voice to calculate an emotion score. Furthermore, when determining the authenticity of a painting, the determination unit monitors the viewer's emotional reactions in real time and determines authenticity based on the degree of emotional coincidence. For example, the determination unit analyzes the viewer's reactions and comments at an art museum to calculate an emotion score. Furthermore, when determining the authenticity of a photograph, the determination unit monitors the viewer's emotional reactions in real time and determines authenticity based on the degree of emotional coincidence. For example, the determination unit analyzes the viewer's reactions and comments at a photo exhibition to calculate an emotion score. In this way, by monitoring the user's emotional reactions in real time according to the needs of authenticity determination, authenticity determination based on the degree of emotional coincidence is possible.

[0092] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0093] The determination unit can also analyze the physical characteristics of creative works and determine authenticity based on these physical characteristics. For example, when determining the authenticity of a novel, the determination unit analyzes the paper quality and type of ink and makes a determination based on the characteristics of a specific era or publisher. For example, it analyzes the texture of the paper and the color of the ink. When determining the authenticity of a painting, the determination unit analyzes the canvas material and type of paint and makes a determination based on the characteristics of a specific artist or era. For example, it analyzes the weave of the canvas and the ingredients of the paint. When determining the authenticity of a photograph, the determination unit analyzes the printing paper and development method and makes a determination based on the characteristics of a specific photographer or era. For example, it analyzes differences in the texture of the printing paper and development method. This makes it possible to determine authenticity taking physical characteristics into account.

[0094] The determination unit can analyze creative works in different languages ​​and perform multilingual authenticity determination. For example, when determining the authenticity of a novel, it also analyzes translated versions written in different languages ​​and performs multilingual authenticity determination. For example, it analyzes translations of the English and French versions. When determining the authenticity of a painting, it also analyzes commentaries and reviews written in different languages ​​and performs multilingual authenticity determination. For example, it analyzes commentaries in English and Spanish. When determining the authenticity of a photograph, it also analyzes captions and explanatory text written in different languages ​​and performs multilingual authenticity determination. For example, it analyzes captions in English and Chinese. This makes it possible to perform multilingual authenticity determination.

[0095] The determination unit can also consider the market value or evaluation data of creative works to determine authenticity from an economic perspective. For example, when determining the authenticity of a novel, the determination unit considers the market value and evaluation data of the novel to determine authenticity from an economic perspective. For example, best-seller lists and reader evaluations are analyzed. When determining the authenticity of a painting, the determination unit considers the auction price of the painting and the evaluation of the art museum to determine authenticity from an economic perspective. For example, the auction winning bid price and the exhibition history of the art museum are analyzed. When determining the authenticity of a photograph, the determination unit considers the selling price of the photograph and the evaluation of photojournalism to determine authenticity from an economic perspective. For example, the sales history of the photograph and photojournalism awards are analyzed. This makes it possible to determine authenticity from an economic perspective.

[0096] The determination unit can use the emotion estimation function to analyze the emotions implied or expressed in a creative work and determine its authenticity based on the degree of emotional consistency. For example, when determining the authenticity of a novel, the determination unit analyzes the emotions of the characters and the emotional flow of the story and determines the authenticity based on the degree of emotional consistency. For example, it analyzes the changes in the characters' emotions and the emotions at the climax of the story. When determining the authenticity of a painting, the determination unit analyzes the emotions the artist put into the work and the emotional effect of the colors and determines the authenticity based on the degree of emotional consistency. For example, it analyzes the emotional meaning of the color selection and brushstrokes. When determining the authenticity of a photograph, the determination unit analyzes the emotions the photographer felt toward the subject and the emotional impact of the photograph and determines the authenticity based on the degree of emotional consistency. For example, it analyzes the emotional effect of the subject's facial expression and composition. This enables authenticity determination that takes emotional characteristics into consideration.

[0097] The determination unit can monitor the user's emotional reactions in real time and determine authenticity based on the degree of emotional coincidence. For example, when determining the authenticity of a novel, the determination unit monitors the reader's emotional reactions in real time and determines the authenticity based on the degree of emotional coincidence. For example, the determination unit analyzes the reader's facial expressions and voice and calculates an emotional score. When determining the authenticity of a painting, the determination unit monitors the viewer's emotional reactions in real time and determines the authenticity based on the degree of emotional coincidence. For example, the determination unit analyzes the viewer's reactions and comments at an art museum and calculates an emotional score. When determining the authenticity of a photograph, the determination unit monitors the viewer's emotional reactions in real time and determines the authenticity based on the degree of emotional coincidence. For example, the determination unit analyzes the viewer's reactions and comments at a photo exhibition and calculates an emotional score. In this way, by monitoring the user's emotional reactions in real time, it is possible to determine the authenticity based on the degree of emotional coincidence.

[0098] The determination unit can analyze the fine details of creative works to make more accurate determinations. For example, when determining the authenticity of a novel, it analyzes subtle changes in writing style and vocabulary choice, making a determination based on the characteristics of a specific author. For example, it analyzes the rhythm of the writing style and the frequency of vocabulary. When determining the authenticity of a painting, the determination unit analyzes subtle differences in brushstrokes and the use of color, making a determination based on the characteristics of a specific painter. For example, it analyzes the brush strokes and the way colors are layered. When determining the authenticity of a photograph, the determination unit analyzes subtle differences in shooting techniques and composition, making a determination based on the characteristics of a specific photographer. For example, it analyzes the use of light and the placement of the subject. This makes it possible to analyze the fine details of creative works to make highly accurate determinations of authenticity.

[0099] The judgment unit can also learn the creative process or the author's intentions. For example, when studying a novel, it will study notes and interviews from the creative process to understand the author's intentions in writing the story. For example, it will analyze the author's interview articles and production notes to understand the intention of the work. When studying a painting, it will study sketches and notes from the creative process to understand the technique the artist used to create the work. For example, it will analyze the artist's sketchbook and photographs of the creative process to understand the technique. When studying a photograph, it will study notes and interviews from the time of shooting to understand the photographer's intentions in taking the photograph. For example, it will analyze the photographer's interview articles and photography notes to understand the intentions. This makes it possible to judge authenticity taking into account the creative process and the author's intentions.

[0100] The determination unit can use the emotion estimation function to collect users' emotional reactions and add them to the learning data. For example, when studying a novel, the determination unit collects the emotional reactions of readers when they read the novel and adds them to the learning data. For example, it analyzes readers' reviews and impressions to learn their emotional reactions. When studying a painting, the determination unit collects the emotional reactions of viewers when they look at the painting and adds them to the learning data. For example, it analyzes viewers' reactions and comments at an art museum to learn their emotional reactions. When studying a photograph, the determination unit collects the emotional reactions of viewers when they look at the photograph and adds them to the learning data. For example, it analyzes viewers' reactions and comments at a photo exhibition to learn their emotional reactions. This makes it possible to determine truth or falsehood taking into account the user's emotional reactions.

[0101] The determination unit can simultaneously learn audio or video data and make authenticity determinations based on multimodal information. For example, when learning about a novel, it also simultaneously learns about audiobooks and film adaptations, and makes authenticity determinations based on audio and video information. For example, it analyzes the narration in an audiobook or a scene from a film. When learning about a painting, it also simultaneously learns about video of the production process and audio commentary, and makes authenticity determinations based on the video and audio information. For example, it analyzes documentary video of the production process and audio commentary. When learning about a photograph, it also simultaneously learns about video footage and audio interviews from the time of shooting, and makes authenticity determinations based on the video and audio information. For example, it analyzes video footage from the shooting site and audio interviews with the photographer. This makes it possible to make authenticity determinations that take audio and video data into consideration.

[0102] The judgment unit can also learn from creative works of different genres, making it possible to judge the authenticity of a wide range of creative works. For example, it can learn not only novels but also musical works, analyzing the rhythm and melody of the music to make authenticity judgments. For example, it can learn the style of a particular composer and the characteristics of the music. The judgment unit can also learn from performing arts, not just paintings, analyzing the characteristics of the acting and stage sets to make authenticity judgments. For example, it can learn the style of a particular director and the characteristics of the stage. The judgment unit can also learn from photographs, not just films, analyzing the composition and editing techniques of the images to make authenticity judgments. For example, it can learn the style of a particular film director and the characteristics of the images. This makes it possible to judge the authenticity of creative works of a wide range of genres.

[0103] The processing flow of the second embodiment will be briefly explained below.

[0104] Step 1: The storage unit stores data of the creative work. For example, the storage unit can collect and store data such as novels, paintings, and photographs. The storage unit can also store analog data as well as digital data. For example, the storage unit can store scanned image data and audio data. Step 2: The learning unit learns the data of the creative work stored by the memory unit. For example, the learning unit uses the generation AI to analyze the stored data and learn its characteristics. The learning unit can also use the generation AI's natural language processing technology to learn the style, theme, and expression methods of the creative work. For example, the learning unit uses the generation AI to analyze the style of a novel and learn its characteristics. Step 3: The judgment unit determines the authenticity of the creative work based on the data learned by the learning unit. For example, the judgment unit analyzes newly input creative work data by comparing it with the learning data and determines its authenticity. The judgment unit can also determine the authenticity of the creative work using the similarity calculation technology possessed by the generation AI. For example, the judgment unit uses the generation AI to analyze the style, theme, and expression of a novel and compares it with the learning data to determine its authenticity.

[0105] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0106] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0107] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0108] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0109] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0110] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0111] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0112] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0113] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0114] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0115] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0116] 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.

[0117] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0118] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0119] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0120] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0121] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0122] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0123] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0124] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0125] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0126] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0127] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0128] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0129] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0130] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0131] 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.

[0132] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0133] In the headset type terminal 314, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0134] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0135] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0136] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0137] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0138] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0139] 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.

[0140] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0141] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0142] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0143] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0144] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0145] The control 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 emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0146] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0147] 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.

[0148] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0149] In the robot 414, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The robot 414 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0150] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0151] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0152] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0153] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0154] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0155] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0156] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[0157] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0158] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0159] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[0160] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[0161] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0162] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[0163] 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.

[0164] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[0165] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A processor also includes a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[0166] The hardware resource that executes the specific process may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific process may be a single processor.

[0167] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0168] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[0169] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0170] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0171] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference. [Explanation of symbols]

[0172] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. a storage unit for storing data of the creation; a learning unit that learns the data of the creative work stored by the storage unit; a determination unit that determines the authenticity of the creative work based on the data learned by the learning unit. A system characterized by:

2. The storage unit Study the cultural or historical context of the work at the same time.

2. The system of claim 1.

3. The storage unit Learn about the creative process and the intentions of the creator of the work.

2. The system of claim 1.

4. The storage unit Adding emotional features of creative works to training data 2. The system of claim 1.

5. The storage unit Simultaneously learns audio or video data and performs truth / false judgment based on multimodal information 2. The system of claim 1.

6. The storage unit The study also includes creative works from different genres, enabling the system to judge the authenticity of a wide range of creative works.

2. The system of claim 1.

7. The storage unit Collecting user emotional responses and adding them to the training data 2. The system of claim 1.

8. The determination unit Analyzing creative works down to the finest detail to make more accurate judgments 2. The system of claim 1.

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