system

Abstract

An object of the system according to the embodiment is to allow a user to easily produce and distribute a unique comic or animation work.SOLUTION: A system according to an embodiment includes a prompt input unit, a text generation unit, an image generation unit, a sound generation unit, and a distribution unit. The prompt input unit receives a prompt from a user. The text generation unit generates a line based on the prompt received by the prompt input unit. The image generation unit generates an illustration based on the prompt received by the prompt input unit. The sound generation unit generates BGM and sound effects based on the prompt received by the prompt input unit. The distribution unit distributes the generated work.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] Conventional technologies have had the problem of making it difficult for users to easily create and distribute their own original manga or anime works.

[0005] The system according to the embodiment aims to enable users to easily create and distribute their own original manga and anime works. [Means for solving the problem]

[0006] The system according to the embodiment includes a prompt input unit, a text generation unit, an image generation unit, a sound generation unit, and a distribution unit. The prompt input unit receives a user's prompt. The text generation unit generates lines based on the prompt received by the prompt input unit. The image generation unit generates an illustration based on the prompt received by the prompt input unit. The sound generation unit generates background music and sound effects based on the prompt received by the prompt input unit. The distribution unit distributes the generated work. [Effects of the Invention]

[0007] The system according to the embodiment allows users to easily create and distribute their own original manga and anime works. [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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[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 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[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 platform according to an embodiment of the present invention is a system that allows users to create their own original works by inputting prompts into wizard-style fields, with text generation AI generating dialogue, image generation AI creating illustrations, and audio generation AI generating background music and sound effects. This allows users to easily create and distribute their own original manga and anime works.

[0029] A platform according to an embodiment includes a prompt input unit, a text generation unit, an image generation unit, a voice generation unit, and a distribution unit. The prompt input unit receives a user prompt. For example, when a user inputs a prompt such as, "Please generate lines for a scene in which the protagonist fights an enemy," the prompt input unit receives the prompt. The text generation unit generates lines based on the prompt received by the prompt input unit. For example, the text generation AI generates appropriate lines based on the prompt input by the user. The image generation unit generates illustrations based on the prompt received by the prompt input unit. For example, the image generation AI generates appropriate illustrations based on the prompt input by the user. The voice generation unit generates background music and sound effects based on the prompt received by the prompt input unit. For example, the voice generation AI generates appropriate background music and sound effects based on the prompt input by the user. The distribution unit distributes the generated works. For example, users can upload their manga and anime creations to a distribution platform and share them with other users. This allows the platform to easily enable users to create and distribute their own original manga and anime works.

[0030] The prompt input unit can refer to the user's past input history and provide more personalized generation results. The prompt input unit, for example, refers to the user's past input history and generates lines based on the prompt. For example, it reflects the tone of voice and personality of characters previously input. The prompt input unit also refers to the user's past input history and generates illustrations based on the prompt. For example, it reflects the appearance and style of characters previously input. The prompt input unit also refers to the user's past input history and generates background music based on the prompt. For example, it reflects the atmosphere and theme of scenes previously input. This makes it possible to provide more personalized generation results based on the user's past input history.

[0031] The prompt input unit can automatically generate related background information and settings based on a theme or genre selected by the user. The prompt input unit automatically generates related background information based on, for example, a theme selected by the user. For example, if a fantasy theme is selected, a setting of magic or another world is generated. The prompt input unit also automatically generates related settings based on a genre selected by the user. For example, if the science fiction genre is selected, a setting of future technology or space is generated. In this way, related background information and settings can be automatically generated based on a theme or genre selected by the user.

[0032] The prompt input unit supports voice input and gesture input, allowing the user to input prompts by voice or gestures. The prompt input unit supports, for example, voice input, generating lines as the user speaks. For example, if the user says, "A scene where the protagonist challenges the enemy," lines for that scene are generated. The prompt input unit also supports gesture input, allowing the user to input prompts by gestures. For example, if the user specifies a character's action with a hand movement, an illustration reflecting that action is generated. This allows the user to input prompts by voice or gestures.

[0033] The prompt input unit presents similar prompts and works created by other users as references, thereby broadening the range of the user's ideas. For example, the prompt input unit presents similar lines created by other users when inputting a prompt. For example, lines on the same theme are displayed as references. The prompt input unit also presents similar illustrations created by other users. For example, different poses and facial expressions of the same character are displayed as references. The prompt input unit also presents similar background music created by other users. For example, different background music for the same scene is displayed as references. This allows the user to broaden the range of their ideas by referring to similar prompts and works created by other users.

[0034] The distribution unit may provide a function that allows users to edit and modify parts of a work in real time on the distribution platform. For example, the distribution unit may provide a function that allows users to edit dialogue in real time on the distribution platform. For example, the dialogue may be changed while watching. The distribution unit may also provide a function that allows users to modify illustrations in real time. For example, the facial expression of a character may be changed while watching. The distribution unit may also provide a function that allows users to edit background music in real time. For example, the volume of the background music may be adjusted while watching. This allows users to edit and modify parts of a work in real time on the distribution platform.

[0035] The distribution unit can provide a function that allows viewers to participate interactively in the work. For example, the distribution unit provides a function that allows viewers to post comments in real time. For example, viewers can share their thoughts and opinions while watching. The distribution unit also provides a function that allows viewers to vote in real time. For example, viewers can vote to determine the development of the next scene while watching. The distribution unit also provides a function that allows viewers to chat in real time. For example, viewers can chat with other viewers while watching. This allows viewers to participate interactively in the work.

[0036] The distribution unit can support different devices (smartphones, tablets, VR devices) and diversify the viewing environment. For example, the distribution unit can make the distribution platform compatible with smartphones, allowing users to view works anywhere. For example, it can provide an app for smartphones. The distribution unit can also make the distribution platform compatible with tablets, allowing users to view works on a large screen. For example, it can provide an app for tablets. The distribution unit can also make the distribution platform compatible with VR devices, allowing users to enjoy an immersive viewing experience. For example, it can provide an app for VR devices. This allows for compatibility with different devices and diversifies the viewing environment.

[0037] The distribution unit can provide a collaboration function that allows users to collaboratively create and edit works. The distribution unit can provide a collaboration function that allows, for example, multiple users to edit dialogue at the same time. For example, they can collaborate on writing in real time. The distribution unit can also provide a collaboration function that allows multiple users to edit illustrations at the same time. For example, they can collaborate on drawing in real time. The distribution unit can also provide a collaboration function that allows multiple users to edit background music at the same time. For example, they can collaborate on composing in real time. This allows for a collaboration function that allows users to collaboratively create and edit works.

[0038] For private use, content created by a user can be automatically backed up, ensuring data safety. For private use, for example, a function is provided to automatically back up content created by a user to the cloud. For example, data is periodically saved to the cloud. Also, for private use, a function is provided to automatically back up content created by a user to a local disk. For example, data is periodically saved to the local disk. Also, for private use, a function is provided to automatically back up content created by a user to external storage. For example, data is periodically saved to external storage. In this way, content created by a user can be automatically backed up, ensuring data safety.

[0039] For private use, the content created by the user can be linked to other platforms, expanding the scope of use. For private use, for example, a function is provided to link the content created by the user with other social networking platforms. For example, the manga or anime created can be shared on Twitter or Instagram. Also, for private use, a function is provided to link the content created by the user with other content sharing sites. For example, the manga or anime created can be uploaded to YouTube or Vimeo. Also, for private use, a function is provided to link the content created by the user with other educational platforms. For example, the teaching materials created can be shared with Moodle or Google Classroom. This allows the content created by the user to be linked to other platforms, expanding the scope of use.

[0040] For private use, a function can be provided that allows a user to share content created by the user with other users and receive feedback. For private use, for example, a function is provided that allows a user to share content created by the user with other users. For example, training content created within a company can be shared with other employees. Also, for private use, a function is provided that allows a user to share content created by the user with other educational institutions. For example, content created by an educational institution for lessons can be shared with other educational institutions. Also, for private use, a function is provided that allows a user to share content created by the user with other government agencies. For example, content created by a government agency for citizens can be shared with other government agencies. This allows a user to share content created by the user with other users and receive feedback.

[0041] For private use, a function can be provided to convert content created by a user into different formats (PDF, video, audio). For private use, for example, a function is provided to convert content created by a user into PDF format. For example, a created manga can be saved as a PDF file. Also, for private use, a function is provided to convert content created by a user into video format. For example, a created animation can be saved as a video file. Also, for private use, a function is provided to convert content created by a user into audio format. For example, background music created can be saved as an audio file. This allows content created by a user to be converted into different formats.

[0042] A reference function can be provided that allows users to gain inspiration from other works when creating original works or derivative works. For example, a reference function can be provided that allows users to gain inspiration from other works when creating original works or derivative works. For example, works on the same theme can be displayed as references. Furthermore, a tool can be provided that allows users to gain inspiration from other works when creating original works or derivative works. For example, works in the same genre can be displayed as references. Furthermore, materials can be provided that allow users to gain inspiration from other works when creating original works or derivative works. For example, works in the same style can be displayed as references. This allows a reference function to be provided that allows users to gain inspiration from other works.

[0043] When creating original works or derivative works, a function can be provided that allows users to share parts of their works with other users and collaborate on production. When creating original works or derivative works, for example, a function can be provided that allows users to share parts of their works with other users and collaborate on creating dialogue. For example, real-time collaborative writing is possible. When creating original works or derivative works, a function can be provided that allows users to share parts of their works with other users and collaborate on creating illustrations. For example, real-time collaborative drawing is possible. When creating original works or derivative works, a function can be provided that allows users to share parts of their works with other users and collaborate on creating background music. For example, real-time collaborative composition is possible. This makes it possible to provide a function that allows users to share parts of their works with other users and collaborate on production.

[0044] When creating original or derivative works, a function can be provided that allows users to combine different genres and styles to create new works. When creating original or derivative works, for example, a function is provided that allows users to combine different genres to create new lines. For example, lines that combine fantasy and horror are generated. When creating original or derivative works, a function is provided that allows users to combine different styles to create new illustrations. For example, illustrations that combine anime and realistic styles are generated. When creating original or derivative works, a function is provided that allows users to combine different genres and styles to create new background music. For example, background music that combines classical and rock is generated. This allows users to create new works by combining different genres and styles.

[0045] When creating original works or derivative works, it is possible to provide a function that allows users to exchange parts of their works with other users and receive feedback from different perspectives. When creating original works or derivative works, for example, a function is provided that allows users to exchange parts of their works with other users and receive feedback on dialogue. For example, other users may revise dialogue. When creating original works or derivative works, it is possible to provide a function that allows users to exchange parts of their works with other users and receive feedback on illustrations. For example, other users may revise illustrations. When creating original works or derivative works, it is possible to provide a function that allows users to exchange parts of their works with other users and receive feedback on background music. For example, other users may revise background music. This makes it possible to provide a function that allows users to exchange parts of their works with other users and receive feedback from different perspectives.

[0046] In order to strengthen Japan's lead, content can be provided that allows users to learn about Japanese culture and history. In order to strengthen Japan's lead, for example, content can be provided that allows users to learn about Japanese culture and history. For example, videos can be distributed that introduce traditional Japanese events and historical events. Also, in order to strengthen Japan's lead, educational materials can be provided that allow users to learn about Japanese culture and history. For example, educational materials can be provided that introduce traditional Japanese crafts and historical buildings. Also, in order to strengthen Japan's lead, events can be held that allow users to learn about Japanese culture and history. For example, events can be held where users can experience traditional Japanese events and historical events. In this way, content can be provided that allows users to learn about Japanese culture and history.

[0047] To solidify leads in Japan, events can be held where users can interact directly with Japanese creators. To solidify leads in Japan, for example, online events can be held where users can interact directly with Japanese creators. For example, live chats and Q&A sessions can be held with creators. Also, to solidify leads in Japan, workshops can be held where users can interact directly with Japanese creators. For example, workshops can be held where users can create works together with creators. Also, to solidify leads in Japan, exhibitions can be held where users can interact directly with Japanese creators. For example, an exhibition can be held where creators' works are displayed and users can interact directly. This allows events to be held where users can interact directly with Japanese creators.

[0048] To solidify Japan's lead, a function can be provided that allows users to translate Japanese works into other languages ​​and share them worldwide. To solidify Japan's lead, for example, a function can be provided that allows users to translate Japanese works into other languages ​​and share them worldwide. For example, subtitles for manga and anime can be automatically generated. Also, to solidify Japan's lead, a function can be provided that allows users to translate Japanese works into other languages ​​and distribute them worldwide. For example, dubbing for manga and anime can be automatically generated. Also, to solidify Japan's lead, a function can be provided that allows users to translate Japanese works into other languages ​​and sell them worldwide. For example, translated versions of manga and anime can be sold in an online store. This allows a function can be provided that allows users to translate Japanese works into other languages ​​and share them worldwide.

[0049] To strengthen the Japanese lead, resources can be provided that allow users to create new works based on Japanese works. To strengthen the Japanese lead, for example, resources can be provided that allow users to create new lines based on Japanese works. For example, by referring to existing characters or scenarios. Also, to strengthen the Japanese lead, resources can be provided that allow users to create new illustrations based on Japanese works. For example, by referring to existing characters or backgrounds. Also, to strengthen the Japanese lead, resources can be provided that allow users to create new background music based on Japanese works. For example, by referring to existing scenes or themes. This allows resources to be provided that allow users to create new works based on Japanese works.

[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 prompt input unit can automatically add relevant historical background and cultural elements based on the prompt entered by the user. For example, if the user enters "a scene of medieval warriors fighting," information about the weapons, armor, and tactics of that era is automatically added. Also, if the user enters "a scene of a traditional Japanese festival," information about the origin of the festival and specific customs can be added. Furthermore, if the user enters "a scene of an adventure in a futuristic city," information about future technology and social structure can be added. This makes it possible to provide more in-depth background information for the prompt entered by the user.

[0052] The prompt input unit can provide relevant scientific knowledge and data in response to a prompt entered by a user. For example, if a user enters "space exploration scene," information about the latest space exploration technology and discoveries can be provided. If a user enters "medical field scene," information about the latest medical technology and treatment methods can be provided. Furthermore, if a user enters "environmental protection scene," information about the latest environmental protection technology and efforts can be provided. In this way, scientific knowledge and data can be provided in response to a prompt entered by a user.

[0053] The prompt input unit can raise relevant philosophical perspectives and ethical issues in response to a prompt entered by a user. For example, if a user enters "a scene of coexistence between AI and humans," the unit will provide philosophical perspectives on AI ethics and coexistence with humans. If a user enters "a war scene," the unit will raise questions on the ethics and justice of war. Furthermore, if a user enters "a scene of environmental destruction," the unit can also provide perspectives on environmental ethics and sustainability. This allows the unit to raise philosophical perspectives and ethical issues in response to a prompt entered by a user.

[0054] The prompt input unit can provide psychological knowledge and techniques related to the prompt entered by the user. For example, if the user enters a "stress management scene," stress management techniques and psychological knowledge are provided. If the user enters a "human relationship scene," communication techniques and psychological knowledge are provided. Furthermore, if the user enters a "self-growth scene," self-growth techniques and psychological knowledge can be provided. In this way, psychological knowledge and techniques can be provided in response to the prompt entered by the user.

[0055] The prompt input unit can provide relevant economic knowledge and data in response to a prompt entered by a user. For example, if a user enters "business scenario," the latest business trends and economic data are provided. Also, if a user enters "investment scenario," the latest investment information and economic indicators are provided. Furthermore, if a user enters "market analysis scenario," the latest market trends and economic data can be provided. In this way, economic knowledge and data can be provided in response to a prompt entered by a user.

[0056] The processing flow of the first embodiment will be briefly explained below.

[0057] Step 1: The prompt input unit accepts a prompt from the user. For example, if the user enters a prompt such as "I want you to generate lines for a scene in which the main character fights an enemy," the prompt input unit accepts the prompt. Step 2: The text generation unit generates lines based on the prompt received by the prompt input unit. For example, the text generation AI generates appropriate lines based on the prompt entered by the user. Step 3: The image generation unit generates an illustration based on the prompt received by the prompt input unit. For example, the image generation AI generates an appropriate illustration based on the prompt entered by the user. Step 4: The voice generation unit generates background music and sound effects based on the prompt received by the prompt input unit. For example, the voice generation AI generates appropriate background music and sound effects based on the prompt entered by the user. Step 5: The distribution unit distributes the created work. For example, users can upload their manga or anime creations to the distribution platform and share them with other users. This allows the platform to enable users to easily create and distribute their own original manga or anime works.

[0058] (Example 2) The platform according to an embodiment of the present invention is a system that allows users to create their own original works by inputting prompts into wizard-style fields, with text generation AI generating dialogue, image generation AI creating illustrations, and audio generation AI generating background music and sound effects. This allows users to easily create and distribute their own original manga and anime works.

[0059] A platform according to an embodiment includes a prompt input unit, a text generation unit, an image generation unit, a voice generation unit, and a distribution unit. The prompt input unit receives a user prompt. For example, when a user inputs a prompt such as, "Please generate lines for a scene in which the protagonist fights an enemy," the prompt input unit receives the prompt. The text generation unit generates lines based on the prompt received by the prompt input unit. For example, the text generation AI generates appropriate lines based on the prompt input by the user. The image generation unit generates illustrations based on the prompt received by the prompt input unit. For example, the image generation AI generates appropriate illustrations based on the prompt input by the user. The voice generation unit generates background music and sound effects based on the prompt received by the prompt input unit. For example, the voice generation AI generates appropriate background music and sound effects based on the prompt input by the user. The distribution unit distributes the generated works. For example, users can upload their manga and anime creations to a distribution platform and share them with other users. This allows the platform to easily enable users to create and distribute their own original manga and anime works.

[0060] The prompt input unit can analyze the emotion of the user's prompt and generate lines, illustrations, and background music according to the emotion. The prompt input unit, for example, analyzes the emotion of the prompt input by the user and generates lines according to the emotion. For example, for a prompt of a sad scene, it generates lines expressing sadness. The prompt input unit also generates illustrations according to the emotion. For example, it uses an emotion estimation function to analyze the emotion of the prompt input by the user and generates illustrations according to the emotion. The prompt input unit also generates background music according to the emotion. For example, it uses the emotion estimation function to analyze the emotion of the prompt input by the user and generates background music according to the emotion. This makes it possible to provide a generation result according to the user's emotion.

[0061] The prompt input unit can refer to the user's past input history and provide more personalized generation results. The prompt input unit, for example, refers to the user's past input history and generates lines based on the prompt. For example, it reflects the tone of voice and personality of characters previously input. The prompt input unit also refers to the user's past input history and generates illustrations based on the prompt. For example, it reflects the appearance and style of characters previously input. The prompt input unit also refers to the user's past input history and generates background music based on the prompt. For example, it reflects the atmosphere and theme of scenes previously input. This makes it possible to provide more personalized generation results based on the user's past input history.

[0062] The prompt input unit can automatically generate related background information and settings based on a theme or genre selected by the user. The prompt input unit automatically generates related background information based on, for example, a theme selected by the user. For example, if a fantasy theme is selected, a setting of magic or another world is generated. The prompt input unit also automatically generates related settings based on a genre selected by the user. For example, if the science fiction genre is selected, a setting of future technology or space is generated. In this way, related background information and settings can be automatically generated based on a theme or genre selected by the user.

[0063] The prompt input unit supports voice input and gesture input, allowing the user to input prompts by voice or gestures. The prompt input unit supports, for example, voice input, generating lines as the user speaks. For example, if the user says, "A scene where the protagonist challenges the enemy," lines for that scene are generated. The prompt input unit also supports gesture input, allowing the user to input prompts by gestures. For example, if the user specifies a character's action with a hand movement, an illustration reflecting that action is generated. This allows the user to input prompts by voice or gestures.

[0064] The prompt input unit presents similar prompts and works created by other users as references, thereby broadening the range of the user's ideas. For example, the prompt input unit presents similar lines created by other users when inputting a prompt. For example, lines on the same theme are displayed as references. The prompt input unit also presents similar illustrations created by other users. For example, different poses and facial expressions of the same character are displayed as references. The prompt input unit also presents similar background music created by other users. For example, different background music for the same scene is displayed as references. This allows the user to broaden the range of their ideas by referring to similar prompts and works created by other users.

[0065] The prompt input unit displays the emotional reactions of other users to a prompt input by a user in real time, and allows the user to obtain feedback. The prompt input unit displays the emotional reactions of other users in real time when the user inputs a prompt. For example, it displays an emotional score for the inputted dialogue. The prompt input unit also provides feedback based on the emotional reactions of other users. For example, it displays an emotional score for the inputted illustration and suggests areas for improvement. The prompt input unit also provides feedback on background music based on the emotional reactions of other users. For example, it displays an emotional score for the inputted background music and suggests areas for improvement. This allows the user to display the emotional reactions of other users to the prompt input by the user in real time, and allows the user to obtain feedback.

[0066] The distribution unit can analyze the emotional responses of viewers and identify popular works and scenes. The distribution unit, for example, collects the emotional responses of viewers in real time and identifies popular scenes. For example, it analyzes and identifies scenes that made viewers laugh. The distribution unit also identifies popular works based on the emotional responses of viewers. For example, it analyzes and identifies works that moved viewers. The distribution unit also evaluates works based on the emotional responses of viewers. For example, it evaluates works based on the emotional scores of viewers. In this way, it is possible to analyze the emotional responses of viewers and identify popular works and scenes.

[0067] The distribution unit may provide a function that allows users to edit and modify parts of a work in real time on the distribution platform. For example, the distribution unit may provide a function that allows users to edit dialogue in real time on the distribution platform. For example, the dialogue may be changed while watching. The distribution unit may also provide a function that allows users to modify illustrations in real time. For example, the facial expression of a character may be changed while watching. The distribution unit may also provide a function that allows users to edit background music in real time. For example, the volume of the background music may be adjusted while watching. This allows users to edit and modify parts of a work in real time on the distribution platform.

[0068] The distribution unit can provide a function that allows viewers to participate interactively in the work. For example, the distribution unit provides a function that allows viewers to post comments in real time. For example, viewers can share their thoughts and opinions while watching. The distribution unit also provides a function that allows viewers to vote in real time. For example, viewers can vote to determine the development of the next scene while watching. The distribution unit also provides a function that allows viewers to chat in real time. For example, viewers can chat with other viewers while watching. This allows viewers to participate interactively in the work.

[0069] The distribution unit can support different devices (smartphones, tablets, VR devices) and diversify the viewing environment. For example, the distribution unit can make the distribution platform compatible with smartphones, allowing users to view works anywhere. For example, it can provide an app for smartphones. The distribution unit can also make the distribution platform compatible with tablets, allowing users to view works on a large screen. For example, it can provide an app for tablets. The distribution unit can also make the distribution platform compatible with VR devices, allowing users to enjoy an immersive viewing experience. For example, it can provide an app for VR devices. This allows for compatibility with different devices and diversifies the viewing environment.

[0070] The distribution unit can provide a collaboration function that allows users to collaboratively create and edit works. The distribution unit can provide a collaboration function that allows, for example, multiple users to edit dialogue at the same time. For example, they can collaborate on writing in real time. The distribution unit can also provide a collaboration function that allows multiple users to edit illustrations at the same time. For example, they can collaborate on drawing in real time. The distribution unit can also provide a collaboration function that allows multiple users to edit background music at the same time. For example, they can collaborate on composing in real time. This allows for a collaboration function that allows users to collaboratively create and edit works.

[0071] The distribution unit provides a recommendation function based on the viewer's emotional response, and can suggest the most suitable works to the viewer. The distribution unit provides a function to recommend the most suitable works based on the viewer's emotional response, for example. For example, it suggests works similar to works that moved the viewer. The distribution unit also suggests works that match the viewer's preferences based on the viewer's emotional response. For example, it suggests works with many scenes that made the viewer laugh. The distribution unit also suggests works that will interest the viewer based on the viewer's emotional response. For example, it suggests works with many scenes that excited the viewer. In this way, it is possible to suggest the most suitable works based on the viewer's emotional response.

[0072] In private use, the emotion estimation function can be used to analyze the effectiveness of content created by companies and educational institutions and suggest areas for improvement. In private use, for example, the emotional responses of training content created by a company can be analyzed and areas for improvement can be suggested. For example, the training content can be adjusted based on the emotional scores of employees. In private use, the emotional responses of lesson content created by an educational institution can be analyzed and areas for improvement can be suggested. For example, the lesson content can be adjusted based on the emotional scores of students. In private use, the emotional responses of content for citizens created by a government agency can be analyzed and areas for improvement can be suggested. For example, the information provided can be adjusted based on the emotional scores of citizens. This makes it possible to analyze the effectiveness of content created by companies and educational institutions and suggest areas for improvement.

[0073] For private use, content created by a user can be automatically backed up, ensuring data safety. For private use, for example, a function is provided to automatically back up content created by a user to the cloud. For example, data is periodically saved to the cloud. Also, for private use, a function is provided to automatically back up content created by a user to a local disk. For example, data is periodically saved to the local disk. Also, for private use, a function is provided to automatically back up content created by a user to external storage. For example, data is periodically saved to external storage. In this way, content created by a user can be automatically backed up, ensuring data safety.

[0074] For private use, the content created by the user can be linked to other platforms, expanding the scope of use. For private use, for example, a function is provided to link the content created by the user with other social networking platforms. For example, the manga or anime created can be shared on Twitter or Instagram. Also, for private use, a function is provided to link the content created by the user with other content sharing sites. For example, the manga or anime created can be uploaded to YouTube or Vimeo. Also, for private use, a function is provided to link the content created by the user with other educational platforms. For example, the teaching materials created can be shared with Moodle or Google Classroom. This allows the content created by the user to be linked to other platforms, expanding the scope of use.

[0075] For private use, a function can be provided that allows a user to share content created by the user with other users and receive feedback. For private use, for example, a function is provided that allows a user to share content created by the user with other users. For example, training content created within a company can be shared with other employees. Also, for private use, a function is provided that allows a user to share content created by the user with other educational institutions. For example, content created by an educational institution for lessons can be shared with other educational institutions. Also, for private use, a function is provided that allows a user to share content created by the user with other government agencies. For example, content created by a government agency for citizens can be shared with other government agencies. This allows a user to share content created by the user with other users and receive feedback.

[0076] For private use, a function can be provided to convert content created by a user into different formats (PDF, video, audio). For private use, for example, a function is provided to convert content created by a user into PDF format. For example, a created manga can be saved as a PDF file. Also, for private use, a function is provided to convert content created by a user into video format. For example, a created animation can be saved as a video file. Also, for private use, a function is provided to convert content created by a user into audio format. For example, background music created can be saved as an audio file. This allows content created by a user to be converted into different formats.

[0077] In private use, the emotion estimation function can be used to analyze other users' emotional reactions to content created by the user and suggest improvements to the content. In private use, for example, the emotional reactions of other users to content created by the user can be analyzed and improvements can be suggested. For example, the content can be adjusted based on the viewer's emotional score. In private use, the emotional reactions of other users to content created by the user can be analyzed and feedback can be provided. For example, improvements to the content can be suggested based on the viewer's emotional score. In private use, the emotional reactions of other users to content created by the user can be analyzed and evaluated. For example, the content can be evaluated based on the viewer's emotional score. In this way, the emotional reactions of other users to content created by the user can be analyzed and improvements can be suggested.

[0078] When creating original or derivative works, the emotion estimation function can be used to analyze the emotional impact of the work created by the user and suggest areas for improvement. When creating original or derivative works, for example, the emotional impact of the work created by the user can be analyzed and areas for improvement can be suggested. For example, dialogue can be adjusted based on the emotional score of a moving scene. Also, when creating original or derivative works, the emotional impact of the work created by the user can be analyzed and feedback can be provided. For example, illustrations can be adjusted based on the emotional score of a moving scene. Also, when creating original or derivative works, the emotional impact of the work created by the user can be analyzed and evaluated. For example, works can be evaluated based on the emotional score of a moving scene. This allows the emotional impact of the work created by the user to be analyzed and areas for improvement can be suggested.

[0079] A reference function can be provided that allows users to gain inspiration from other works when creating original works or derivative works. For example, a reference function can be provided that allows users to gain inspiration from other works when creating original works or derivative works. For example, works on the same theme can be displayed as references. Furthermore, a tool can be provided that allows users to gain inspiration from other works when creating original works or derivative works. For example, works in the same genre can be displayed as references. Furthermore, materials can be provided that allow users to gain inspiration from other works when creating original works or derivative works. For example, works in the same style can be displayed as references. This allows a reference function to be provided that allows users to gain inspiration from other works.

[0080] When creating original works or derivative works, a function can be provided that allows users to share parts of their works with other users and collaborate on production. When creating original works or derivative works, for example, a function can be provided that allows users to share parts of their works with other users and collaborate on creating dialogue. For example, real-time collaborative writing is possible. When creating original works or derivative works, a function can be provided that allows users to share parts of their works with other users and collaborate on creating illustrations. For example, real-time collaborative drawing is possible. When creating original works or derivative works, a function can be provided that allows users to share parts of their works with other users and collaborate on creating background music. For example, real-time collaborative composition is possible. This makes it possible to provide a function that allows users to share parts of their works with other users and collaborate on production.

[0081] When creating original or derivative works, a function can be provided that allows users to combine different genres and styles to create new works. When creating original or derivative works, for example, a function is provided that allows users to combine different genres to create new lines. For example, lines that combine fantasy and horror are generated. When creating original or derivative works, a function is provided that allows users to combine different styles to create new illustrations. For example, illustrations that combine anime and realistic styles are generated. When creating original or derivative works, a function is provided that allows users to combine different genres and styles to create new background music. For example, background music that combines classical and rock is generated. This allows users to create new works by combining different genres and styles.

[0082] When creating original works or derivative works, it is possible to provide a function that allows users to exchange parts of their works with other users and receive feedback from different perspectives. When creating original works or derivative works, for example, a function is provided that allows users to exchange parts of their works with other users and receive feedback on dialogue. For example, other users may revise dialogue. When creating original works or derivative works, it is possible to provide a function that allows users to exchange parts of their works with other users and receive feedback on illustrations. For example, other users may revise illustrations. When creating original works or derivative works, it is possible to provide a function that allows users to exchange parts of their works with other users and receive feedback on background music. For example, other users may revise background music. This makes it possible to provide a function that allows users to exchange parts of their works with other users and receive feedback from different perspectives.

[0083] When creating original works or derivative works, the emotion estimation function can be used to analyze other users' emotional reactions to the work created by the user and suggest improvements to the work. When creating original works or derivative works, for example, the emotional reactions of other users to the work created by the user can be analyzed and improvements can be suggested. For example, dialogue can be adjusted based on the viewer's emotional score. Also, when creating original works or derivative works, the emotional reactions of other users to the work created by the user can be analyzed and feedback can be provided. For example, illustrations can be adjusted based on the viewer's emotional score. Also, when creating original works or derivative works, the emotional reactions of other users to the work created by the user can be analyzed and evaluated. For example, the work can be evaluated based on the viewer's emotional score. This allows the emotional reactions of other users to the work created by the user to be analyzed and improvements can be suggested.

[0084] To strengthen Japan's lead, the emotion estimation function can be used to analyze the emotional reactions of users around the world and evaluate how Japanese works are being received. To strengthen Japan's lead, for example, the emotional reactions of users around the world can be collected in real time to evaluate how Japanese works are being received. For example, works can be evaluated based on viewers' emotional scores. To further strengthen Japan's lead, suggestions can be made to improve Japanese works based on the emotional reactions of users around the world. For example, lines can be adjusted based on viewers' emotional scores. To further strengthen Japan's lead, the popularity of Japanese works can be analyzed based on the emotional reactions of users around the world. For example, the popularity of works can be evaluated based on viewers' emotional scores. This makes it possible to analyze the emotional reactions of users around the world and evaluate how Japanese works are being received.

[0085] In order to strengthen Japan's lead, content can be provided that allows users to learn about Japanese culture and history. In order to strengthen Japan's lead, for example, content can be provided that allows users to learn about Japanese culture and history. For example, videos can be distributed that introduce traditional Japanese events and historical events. Also, in order to strengthen Japan's lead, educational materials can be provided that allow users to learn about Japanese culture and history. For example, educational materials can be provided that introduce traditional Japanese crafts and historical buildings. Also, in order to strengthen Japan's lead, events can be held that allow users to learn about Japanese culture and history. For example, events can be held where users can experience traditional Japanese events and historical events. In this way, content can be provided that allows users to learn about Japanese culture and history.

[0086] To solidify leads in Japan, events can be held where users can interact directly with Japanese creators. To solidify leads in Japan, for example, online events can be held where users can interact directly with Japanese creators. For example, live chats and Q&A sessions can be held with creators. Also, to solidify leads in Japan, workshops can be held where users can interact directly with Japanese creators. For example, workshops can be held where users can create works together with creators. Also, to solidify leads in Japan, exhibitions can be held where users can interact directly with Japanese creators. For example, an exhibition can be held where creators' works are displayed and users can interact directly. This allows events to be held where users can interact directly with Japanese creators.

[0087] To solidify Japan's lead, a function can be provided that allows users to translate Japanese works into other languages ​​and share them worldwide. To solidify Japan's lead, for example, a function can be provided that allows users to translate Japanese works into other languages ​​and share them worldwide. For example, subtitles for manga and anime can be automatically generated. Also, to solidify Japan's lead, a function can be provided that allows users to translate Japanese works into other languages ​​and distribute them worldwide. For example, dubbing for manga and anime can be automatically generated. Also, to solidify Japan's lead, a function can be provided that allows users to translate Japanese works into other languages ​​and sell them worldwide. For example, translated versions of manga and anime can be sold in an online store. This allows a function can be provided that allows users to translate Japanese works into other languages ​​and share them worldwide.

[0088] To strengthen the Japanese lead, resources can be provided that allow users to create new works based on Japanese works. To strengthen the Japanese lead, for example, resources can be provided that allow users to create new lines based on Japanese works. For example, by referring to existing characters or scenarios. Also, to strengthen the Japanese lead, resources can be provided that allow users to create new illustrations based on Japanese works. For example, by referring to existing characters or backgrounds. Also, to strengthen the Japanese lead, resources can be provided that allow users to create new background music based on Japanese works. For example, by referring to existing scenes or themes. This allows resources to be provided that allow users to create new works based on Japanese works.

[0089] In order to strengthen Japan's lead, the emotion estimation function allows users to analyze emotional reactions to Japanese works and suggest areas for improvement. In order to strengthen Japan's lead, for example, users can analyze emotional reactions to Japanese works and suggest areas for improvement. For example, they can adjust lines based on viewers' emotion scores. Also, in order to strengthen Japan's lead, users can analyze emotional reactions to Japanese works and provide feedback. For example, they can adjust illustrations based on viewers' emotion scores. Also, in order to strengthen Japan's lead, users can analyze emotional reactions to Japanese works and evaluate them. For example, they can evaluate works based on viewers' emotion scores. This allows users to analyze emotional reactions to Japanese works and suggest areas for improvement.

[0090] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0091] The prompt input unit can automatically add relevant historical background and cultural elements based on the prompt entered by the user. For example, if the user enters "a scene of medieval warriors fighting," information about the weapons, armor, and tactics of that era is automatically added. Also, if the user enters "a scene of a traditional Japanese festival," information about the origin of the festival and specific customs can be added. Furthermore, if the user enters "a scene of an adventure in a futuristic city," information about future technology and social structure can be added. This makes it possible to provide more in-depth background information for the prompt entered by the user.

[0092] The prompt input unit can estimate the user's emotions and provide a generated result that helps the user relax based on the estimated emotions. For example, if the user is feeling stressed, it can generate lines that have a relaxing effect. If the user is tired, it can generate illustrations that have a soothing effect. Furthermore, if the user is feeling anxious, it can generate background music that gives a sense of security. In this way, it is possible to provide a generated result that has a relaxing effect according to the user's emotions.

[0093] The prompt input unit can provide relevant scientific knowledge and data in response to a prompt entered by a user. For example, if a user enters "space exploration scene," information about the latest space exploration technology and discoveries can be provided. If a user enters "medical field scene," information about the latest medical technology and treatment methods can be provided. Furthermore, if a user enters "environmental protection scene," information about the latest environmental protection technology and efforts can be provided. In this way, scientific knowledge and data can be provided in response to a prompt entered by a user.

[0094] The prompt input unit can estimate the user's emotions and provide generated results that the user can enjoy based on the estimated emotions. For example, if the user is happy, it can generate lines that will make the user even more excited. If the user is excited, it can generate illustrations that will heighten that excitement. Furthermore, if the user is feeling happy, it can generate background music that emphasizes that happiness. In this way, it is possible to provide generated results that will increase the user's enjoyment according to the user's emotions.

[0095] The prompt input unit can raise relevant philosophical perspectives and ethical issues in response to a prompt entered by a user. For example, if a user enters "a scene of coexistence between AI and humans," the unit will provide philosophical perspectives on AI ethics and coexistence with humans. If a user enters "a war scene," the unit will raise questions on the ethics and justice of war. Furthermore, if a user enters "a scene of environmental destruction," the unit can also provide perspectives on environmental ethics and sustainability. This allows the unit to raise philosophical perspectives and ethical issues in response to a prompt entered by a user.

[0096] The prompt input unit can estimate the user's emotions and provide generated results that make it easy for the user to learn based on the estimated emotions. For example, if the user is concentrating, it generates lines that will improve the learning effect. Also, if the user is interested, it generates illustrations that will keep the user interested. It can also adjust background music to make it easier for the user to understand. This makes it possible to provide generated results that make it easy for the user to learn, depending on the user's emotions.

[0097] The prompt input unit can provide psychological knowledge and techniques related to the prompt entered by the user. For example, if the user enters a "stress management scene," stress management techniques and psychological knowledge are provided. If the user enters a "human relationship scene," communication techniques and psychological knowledge are provided. Furthermore, if the user enters a "self-growth scene," self-growth techniques and psychological knowledge can be provided. In this way, psychological knowledge and techniques can be provided in response to the prompt entered by the user.

[0098] The prompt input unit can estimate the user's emotions and provide generated results that help the user maintain motivation based on the estimated emotions. For example, if the user is feeling unmotivated, it can generate words that will motivate the user. If the user is working hard toward a goal, it can generate illustrations that encourage the user's efforts. It can also adjust background music so that the user feels a sense of accomplishment. This makes it possible to provide generated results that help the user maintain motivation according to the user's emotions.

[0099] The prompt input unit can provide relevant economic knowledge and data in response to a prompt entered by a user. For example, if a user enters "business scenario," the latest business trends and economic data are provided. Also, if a user enters "investment scenario," the latest investment information and economic indicators are provided. Furthermore, if a user enters "market analysis scenario," the latest market trends and economic data can be provided. In this way, economic knowledge and data can be provided in response to a prompt entered by a user.

[0100] The prompt input unit can estimate the user's emotions and provide generated results that allow the user to demonstrate their creativity based on the estimated emotions. For example, if the user is seeking inspiration, it can generate lines that stimulate creativity. Or, if the user is looking for new ideas, it can generate illustrations that will bring out those ideas. It can also adjust background music to put the user in a creative mood. In this way, it is possible to provide generated results that allow the user to demonstrate their creativity according to the user's emotions.

[0101] The processing flow of the second embodiment will be briefly explained below.

[0102] Step 1: The prompt input unit accepts a prompt from the user. For example, if the user enters a prompt such as "I want you to generate lines for a scene in which the main character fights an enemy," the prompt input unit accepts the prompt. Step 2: The text generation unit generates lines based on the prompt received by the prompt input unit. For example, the text generation AI generates appropriate lines based on the prompt entered by the user. Step 3: The image generation unit generates an illustration based on the prompt received by the prompt input unit. For example, the image generation AI generates an appropriate illustration based on the prompt entered by the user. Step 4: The voice generation unit generates background music and sound effects based on the prompt received by the prompt input unit. For example, the voice generation AI generates appropriate background music and sound effects based on the prompt entered by the user. Step 5: The distribution unit distributes the created work. For example, users can upload their manga or anime creations to the distribution platform and share them with other users. This allows the platform to enable users to easily create and distribute their own original manga or anime works.

[0103] 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.

[0104] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> 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.

[0105] 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.

[0106] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0107] 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.

[0108] 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.

[0109] 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.

[0110] 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.

[0111] 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).

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0116] 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. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0122] 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.

[0123] 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.

[0124] 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.

[0125] 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.

[0126] 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).

[0127] 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.

[0128] 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.

[0129] 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.

[0130] 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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0131] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 may also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0132] 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.

[0133] 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.

[0134] 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.

[0135] 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.

[0136] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0137] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0138] 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.

[0139] 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.

[0140] 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.

[0141] 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).

[0142] 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.

[0143] 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.

[0144] 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.

[0145] 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.

[0146] 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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0147] In the robot 414, the processor 46 performs the identification process. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0148] 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.

[0149] 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.

[0150] 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.

[0151] 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.

[0152] 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.

[0153] 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.

[0154] 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.

[0155] 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).

[0156] 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.

[0157] 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."

[0158] 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.

[0159] 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.

[0160] 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.

[0161] 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.

[0162] 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.

[0163] 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.

[0164] 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.

[0165] 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.

[0166] 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.

[0167] 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.

[0168] 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.

[0169] 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]

[0170] 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 prompt input unit for receiving a user prompt; a text generation unit that generates lines based on the prompt received by the prompt input unit; an image generation unit that generates an illustration based on the prompt received by the prompt input unit; a sound generation unit that generates background music and sound effects based on the prompt received by the prompt input unit; a distribution unit that distributes the generated work. A system characterized by:

2. The prompt input unit Supports voice and gesture input, allowing users to enter prompts by voice or gesture 2. The system of claim 1.

3. The distribution unit Analyze viewers' emotional responses to identify popular works and scenes 2. The system of claim 1.

4. For private use, Analyze the effectiveness of content created by companies and educational institutions and suggest areas for improvement 2. The system of claim 1.

5. When creating your own work or derivative works, Analyze the emotional impact of the user's creations and suggest improvements 2. The system of claim 1.

Images