System

Abstract

An object of a system according to an embodiment is to provide information in such a manner that a child can easily understand news and events.SOLUTION: A system includes a news illustration part, a short sentence generation part, a reading part, and an answer generation part. The news illustration part illustrates news. The short sentence generation unit generates a short sentence based on the illustration generated by the news illustration unit. The reading unit automatically reads the short sentence generated by the short sentence generation unit. The answer generation unit generates an answer on the basis of the content spoken to by the child.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] With conventional technology, even if children were interested in the news or events, it was difficult to provide them with information in an easy-to-understand format.

[0005] The system according to the embodiment aims to provide information about news and events in a format that is easy for children to understand. [Means for solving the problem]

[0006] The system according to the embodiment includes a news illustration unit, a short sentence generation unit, a reading unit, and an answer generation unit. The news illustration unit illustrates the news. The short sentence generation unit generates short sentences based on the illustrations generated by the news illustration unit. The reading unit automatically reads the short sentences generated by the short sentence generation unit. The answer generation unit generates answers based on what the child has said. [Effects of the Invention]

[0007] The system according to the embodiment can provide information about news and events in a format that is easy for children to understand. [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 news understanding support system according to an embodiment of the present invention is a system that helps children understand technical content and difficult-to-communicate issues while maintaining an interest in the news and incidents. This system uses a generation AI to illustrate the news, automatically read it aloud in filtered short sentences, and generate answers based on what the child says. This makes it easier for children to understand the news and improve their knowledge.

[0029] A news understanding support system according to an embodiment includes a news illustration unit, a short sentence generation unit, a reading unit, and an answer generation unit. The news illustration unit illustrates the news. For example, the generation AI generates illustrations based on text data of a news article. For example, in the case of news about an earthquake, the generation AI uses illustrations to depict the location of the earthquake and the extent of the damage. The short sentence generation unit generates short sentences based on the illustrations generated by the news illustration unit. For example, the generation AI filters the content of the news article and summarizes it into short sentences that are easy for children to understand. For example, the summary may be in the form of, "An earthquake has occurred. Many houses have been destroyed." The reading unit automatically reads the short sentences generated by the short sentence generation unit. For example, the generation AI reads the short sentences using speech synthesis technology. For example, the generation AI automatically reads short sentences such as, "An earthquake has occurred. Many houses have been destroyed." The answer generation unit generates answers based on what a child says. For example, the generation AI analyzes audio data of what a child says and generates answers to their questions. For example, if you ask, "What is an earthquake?", the generation AI will generate an answer such as, "An earthquake is a phenomenon in which the ground shakes." This allows the news understanding support system according to the embodiment to make it easier for children to understand the news and improve their knowledge. For example, children can deepen their understanding of the news by visually understanding it and then talking to it to get additional information. Furthermore, by having fun while understanding the news, like a talking picture book, this also contributes to improving children's knowledge.

[0030] The news illustration unit can generate multiple illustrations based on the content of the news, allowing children to choose from them. For example, the news illustration unit analyzes the content of a news article, and the generation AI generates illustrations from multiple different perspectives. For example, if the news is about an earthquake, it will illustrate the damage, evacuation, recovery work, etc. The generation AI also generates multiple illustrations based on the content of the news, allowing children to choose their favorite illustration. For example, if the news is about an earthquake, it will provide options such as what the earthquake looked like at the time of the earthquake, what the evacuation center looked like, and what the rescue efforts were like. Furthermore, the generation AI generates multiple illustrations based on the content of the news, allowing children to choose from them. For example, if the news is about an earthquake, it will illustrate the location of the earthquake, the damage, and what the evacuation center looks like, allowing children to choose from them. This allows children to enjoy the news visually.

[0031] The news illustration unit can add interactive elements to news illustrations, allowing children to tap or click to view more information. The news illustration unit, for example, adds interactive elements to news illustrations, allowing children to tap or click to view more information. For example, in news about an earthquake, tapping on a picture of the damage will display detailed information about the damage. The generation AI also adds interactive elements to news illustrations, allowing children to tap or click to view more information. For example, in news about an earthquake, tapping on a picture of an evacuation shelter will display detailed information about the shelter. Furthermore, interactive elements are added to news illustrations, allowing children to tap or click to view more information. For example, in news about an earthquake, tapping on a picture of rescue efforts will display detailed information about the rescue efforts. This makes it easy for children to obtain detailed information about the news.

[0032] The news illustration unit can animate news illustrations to make them visually enjoyable for children. The news illustration unit, for example, animates news illustrations to make them visually enjoyable for children. For example, if the news is about an earthquake, the unit uses animation to show the events from the occurrence of the earthquake to evacuation. The generation AI also animates news illustrations to make them visually enjoyable for children. For example, if the news is about an earthquake, the unit uses animation to show the shaking at the time of the earthquake and the state of the evacuation shelter. The generation AI also animates news illustrations to make them visually enjoyable for children. For example, if the news is about an earthquake, the unit uses animation to show the rescue efforts. This allows children to enjoy the news visually.

[0033] The news illustration department can add audio guides to news illustrations to aid comprehension both visually and aurally. The news illustration department can, for example, add audio guides to news illustrations to aid comprehension both visually and aurally. For example, if the news is about an earthquake, the location of the earthquake and the extent of the damage will be explained through audio. The generation AI can also add audio guides to news illustrations to aid comprehension both visually and aurally. For example, if the news is about an earthquake, the state of evacuation centers and rescue efforts will be explained through audio. Furthermore, audio guides can be added to news illustrations to aid comprehension both visually and aurally. For example, if the news is about an earthquake, the state of the earthquake and evacuation efforts will be explained through audio. This allows news to be understood both visually and aurally.

[0034] The short sentence generation unit can translate news short sentences into multiple languages ​​to allow children to make a selection. The short sentence generation unit, for example, translates news short sentences into multiple languages ​​to allow children to make a selection. For example, if the news is about an earthquake, short sentences are provided in multiple languages, such as Japanese, English, and Chinese. The generation AI also translates news short sentences into multiple languages ​​to allow children to make a selection. For example, if the news is about an earthquake, short sentences are provided in multiple languages, such as Japanese, English, and French. The news short sentences are also translated into multiple languages ​​to allow children to make a selection. For example, if the news is about an earthquake, short sentences are provided in multiple languages, such as Japanese, English, and Spanish. This allows children to understand the news in multiple languages.

[0035] The short sentence generation unit allows the generation AI to adjust the tone and speed of the voice for short news sentences to make them easier for children to hear. The short sentence generation unit allows the generation AI to adjust the tone and speed of the voice for short news sentences to make them easier for children to hear. For example, news about an earthquake is read slowly in a calm tone. The generation AI also adjusts the tone and speed of the voice for short news sentences to make them easier for children to hear. For example, news about an earthquake is read slowly in a gentle tone. The generation AI also adjusts the tone and speed of the voice for short news sentences to make them easier for children to hear. For example, news about an earthquake is read slowly in a calm tone. This allows children to understand the news in a voice that is easy to hear.

[0036] The short sentence generation unit can read short news sentences to rhythm and melody like a song, allowing children to understand while having fun. The short sentence generation unit, for example, reads short news sentences to rhythm and melody like a song, allowing children to understand while having fun. For example, in news about an earthquake, the occurrence of the earthquake and the evacuation situation are sung to rhythm. The generation AI also reads short news sentences to rhythm and melody like a song, allowing children to understand while having fun. For example, in news about an earthquake, the occurrence of the earthquake and the evacuation situation are sung to melody. The generation AI also reads short news sentences to rhythm and melody like a song, allowing children to understand while having fun. For example, in news about an earthquake, the occurrence of the earthquake and the evacuation situation are sung to rhythm. The generation AI also reads short news sentences to rhythm and melody like a song, allowing children to understand while having fun. For example, in news about an earthquake, the occurrence of the earthquake and the evacuation situation are sung to rhythm. This allows children to understand the news while having fun.

[0037] The short sentence generation unit can read short news sentences in a character's voice to make them more familiar to children. The short sentence generation unit, for example, reads short news sentences in a character's voice to make them more familiar to children. For example, news about an earthquake is read in the voice of a popular character. The generation AI also reads short news sentences in a character's voice to make them more familiar to children. For example, news about an earthquake is read in the voice of an anime character. Furthermore, short news sentences are read in a character's voice to make them more familiar to children. For example, news about an earthquake is read in the voice of a character popular with children. This allows children to understand the news in a familiar voice.

[0038] The answer generation unit allows the generation AI to display related videos and images based on what the child says. The answer generation unit allows the generation AI to display related videos and images based on what the child says. For example, if the child says, "What is an earthquake?", a video explaining the mechanism behind earthquakes will be displayed. The generation AI also displays related videos and images based on what the child says. For example, if the child says, "What is the damage from the earthquake?", an image showing the damage caused by the earthquake will be displayed. Furthermore, the generation AI displays related videos and images based on what the child says. For example, if the child says, "How do I evacuate in an earthquake?", a video explaining how to evacuate will be displayed. This allows the child to visually obtain additional information.

[0039] The answer generation unit allows the generation AI to provide additional information in a dialogue format in response to what the child says. For example, when a child says, "What is an earthquake?", the generation AI will respond in a dialogue format with, "An earthquake is a phenomenon in which the ground shakes. Would you like to know more?" The generation AI also provides additional information in a dialogue format in response to what the child says. For example, when a child says, "What kind of damage does an earthquake cause?", the generation AI will respond in a dialogue format with, "Damage from an earthquake includes building collapses and fires. Would you like to know more?" The generation AI also provides additional information in a dialogue format in response to what the child says. For example, when a child says, "How do you evacuate during an earthquake?", the generation AI will respond in a dialogue format with, "In the event of an earthquake, first hide under a desk. What should you do next?" This allows the child to obtain additional information in a dialogue format.

[0040] The answer generation unit can have the generation AI provide relevant quizzes and games based on what the child has said. The answer generation unit has the generation AI provide relevant quizzes and games based on what the child has said, for example. For example, if the child says, "What is an earthquake?", a quiz about earthquakes will be provided. The generation AI also provides relevant quizzes and games based on what the child has said. For example, if the child says, "What kind of damage will an earthquake cause?", a game about earthquake damage will be provided. The generation AI also provides relevant quizzes and games based on what the child has said. For example, if the child says, "How do I evacuate in the event of an earthquake?", a quiz about evacuation methods will be provided. This allows children to understand the news through quizzes and games.

[0041] The answer generation unit allows the generation AI to generate a related story in response to what the child says, and provide information in story format. The answer generation unit allows the generation AI to generate a related story in response to what the child says, and provide information in story format. For example, when the child says, "What is an earthquake?", a story with the theme of earthquake occurrence is generated. The generation AI also generates a related story in response to what the child says, and provides information in story format. For example, when the child says, "What damage will the earthquake cause?", a story with the theme of earthquake damage is generated. The generation AI also generates a related story in response to what the child says, and provides information in story format. For example, when the child says, "How do I evacuate in the event of an earthquake?", a story with the theme of evacuation methods is generated. This allows children to understand the news in story format.

[0042] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0043] The news understanding support system can further include a historical information provision unit that provides relevant historical background and past examples based on the content of the news. For example, if the news is about an earthquake, information about past major earthquakes and their impacts will be provided. The generation AI will also provide relevant historical background based on the content of the news. For example, if the news is about an earthquake, information will be provided about the mechanisms behind past earthquakes and the subsequent reconstruction efforts. Furthermore, relevant historical background will be provided based on the content of the news. For example, if the news is about an earthquake, information will be provided about the damage caused by past earthquakes and the subsequent disaster prevention measures. This makes it easier for children to understand the background of the news.

[0044] The news understanding support system can further include a science commentary unit that provides relevant scientific commentary based on the content of the news. For example, if the news is about an earthquake, an explanation will be provided about the mechanism behind earthquakes and the types of seismic waves. The generation AI will also provide relevant scientific commentary based on the content of the news. For example, if the news is about an earthquake, an explanation will be provided about the causes of earthquakes and plate tectonics. Furthermore, relevant scientific commentary will be provided based on the content of the news. For example, if the news is about an earthquake, an explanation will be provided about earthquake prediction technology and disaster prevention measures. This makes it easier for children to understand the scientific aspects of the news.

[0045] The news understanding support system can further include a cultural information provision unit that provides relevant cultural background and social impact based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on the local community and culture is provided. The generation AI also provides relevant cultural background based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on local traditions and customs is provided. Furthermore, relevant cultural background is provided based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on the local economy and society is provided. This makes it easier for children to understand the cultural aspects of the news.

[0046] The news understanding support system can further include an environmental information provision unit that provides relevant environmental impacts based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on the natural environment is provided. The generation AI also provides relevant environmental impacts based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on the topography and ecosystem is provided. Further, relevant environmental impacts are provided based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on the climate and water resources is provided. This makes it easier for children to understand the environmental aspects of the news.

[0047] The news understanding support system can further include an economic information provision unit that provides relevant economic impacts based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on the local economy and industry is provided. The generation AI also provides relevant economic impacts based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on the construction industry and tourism industry is provided. Further, relevant economic impacts are provided based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on local employment and income is provided. This makes it easier for children to understand the economic aspects of the news.

[0048] The processing flow of the first embodiment will be briefly explained below.

[0049] Step 1: The news illustration unit illustrates the news. For example, the generation AI generates illustrations based on the text data of a news article. For example, if the news is about an earthquake, the generation AI will illustrate the location of the earthquake and the extent of the damage. Step 2: The short sentence generator generates short sentences based on the illustrations generated by the news illustration generator. For example, the generator AI filters the content of a news article and summarizes it into short sentences that are easy for children to understand. For example, it summarizes it as "An earthquake has occurred. Many houses have been destroyed." Step 3: The reading unit automatically reads the short sentences generated by the short sentence generation unit. For example, the generation AI uses speech synthesis technology to read short sentences. For example, it automatically reads a short sentence such as, "An earthquake has occurred. Many houses have been destroyed." Step 4: The answer generation unit generates an answer based on what the child has said. For example, the generation AI analyzes the audio data of what the child has said and generates an answer to that question. For example, if the child asks, "What is an earthquake?", the generation AI generates an answer such as, "An earthquake is a phenomenon in which the ground shakes."

[0050] (Example 2) The news understanding support system according to an embodiment of the present invention is a system that helps children understand technical content and difficult-to-communicate issues while maintaining an interest in the news and incidents. This system uses a generation AI to illustrate the news, automatically read it aloud in filtered short sentences, and generate answers based on what the child says. This makes it easier for children to understand the news and improve their knowledge.

[0051] A news understanding support system according to an embodiment includes a news illustration unit, a short sentence generation unit, a reading unit, and an answer generation unit. The news illustration unit illustrates the news. For example, the generation AI generates illustrations based on text data of a news article. For example, in the case of news about an earthquake, the generation AI uses illustrations to depict the location of the earthquake and the extent of the damage. The short sentence generation unit generates short sentences based on the illustrations generated by the news illustration unit. For example, the generation AI filters the content of the news article and summarizes it into short sentences that are easy for children to understand. For example, the summary may be in the form of, "An earthquake has occurred. Many houses have been destroyed." The reading unit automatically reads the short sentences generated by the short sentence generation unit. For example, the generation AI reads the short sentences using speech synthesis technology. For example, the generation AI automatically reads short sentences such as, "An earthquake has occurred. Many houses have been destroyed." The answer generation unit generates answers based on what a child says. For example, the generation AI analyzes audio data of what a child says and generates answers to their questions. For example, if you ask, "What is an earthquake?", the generation AI will generate an answer such as, "An earthquake is a phenomenon in which the ground shakes." This allows the news understanding support system according to the embodiment to make it easier for children to understand the news and improve their knowledge. For example, children can deepen their understanding of the news by visually understanding it and then talking to it to get additional information. Furthermore, by having fun while understanding the news, like a talking picture book, this also contributes to improving children's knowledge.

[0052] The news illustration unit can generate multiple illustrations based on the content of the news, allowing children to choose from them. For example, the news illustration unit analyzes the content of a news article, and the generation AI generates illustrations from multiple different perspectives. For example, if the news is about an earthquake, it will illustrate the damage, evacuation, recovery work, etc. The generation AI also generates multiple illustrations based on the content of the news, allowing children to choose their favorite illustration. For example, if the news is about an earthquake, it will provide options such as what the earthquake looked like at the time of the earthquake, what the evacuation center looked like, and what the rescue efforts were like. Furthermore, the generation AI generates multiple illustrations based on the content of the news, allowing children to choose from them. For example, if the news is about an earthquake, it will illustrate the location of the earthquake, the damage, and what the evacuation center looks like, allowing children to choose from them. This allows children to enjoy the news visually.

[0053] The news illustration unit can add interactive elements to news illustrations, allowing children to tap or click to view more information. The news illustration unit, for example, adds interactive elements to news illustrations, allowing children to tap or click to view more information. For example, in news about an earthquake, tapping on a picture of the damage will display detailed information about the damage. The generation AI also adds interactive elements to news illustrations, allowing children to tap or click to view more information. For example, in news about an earthquake, tapping on a picture of an evacuation shelter will display detailed information about the shelter. Furthermore, interactive elements are added to news illustrations, allowing children to tap or click to view more information. For example, in news about an earthquake, tapping on a picture of rescue efforts will display detailed information about the rescue efforts. This makes it easy for children to obtain detailed information about the news.

[0054] The news illustration unit can use the emotion estimation function to generate illustrations that reflect children's emotions regarding the news content. The news illustration unit, for example, estimates children's emotions regarding the news content and generates illustrations that reflect those emotions. For example, if the news is about an earthquake, an illustration that gives a child a sense of security is generated if the child feels anxious. The emotion estimation function also generates illustrations that reflect children's emotions regarding the news content. For example, if the news is about an earthquake, a positive illustration that will interest children is generated. Furthermore, the emotion estimation function estimates children's emotions regarding the news content and generates illustrations that reflect those emotions. For example, if the news is about an earthquake, an illustration that makes children feel reassured is generated. In this way, illustrations that correspond to children's emotions can be generated.

[0055] The news illustration unit can animate news illustrations to make them visually enjoyable for children. The news illustration unit, for example, animates news illustrations to make them visually enjoyable for children. For example, if the news is about an earthquake, the unit uses animation to show the events from the occurrence of the earthquake to evacuation. The generation AI also animates news illustrations to make them visually enjoyable for children. For example, if the news is about an earthquake, the unit uses animation to show the shaking at the time of the earthquake and the state of the evacuation shelter. The generation AI also animates news illustrations to make them visually enjoyable for children. For example, if the news is about an earthquake, the unit uses animation to show the rescue efforts. This allows children to enjoy the news visually.

[0056] The news illustration department can add audio guides to news illustrations to aid comprehension both visually and aurally. The news illustration department can, for example, add audio guides to news illustrations to aid comprehension both visually and aurally. For example, if the news is about an earthquake, the location of the earthquake and the extent of the damage will be explained through audio. The generation AI can also add audio guides to news illustrations to aid comprehension both visually and aurally. For example, if the news is about an earthquake, the state of evacuation centers and rescue efforts will be explained through audio. Furthermore, audio guides can be added to news illustrations to aid comprehension both visually and aurally. For example, if the news is about an earthquake, the state of the earthquake and evacuation efforts will be explained through audio. This allows news to be understood both visually and aurally.

[0057] The news illustration unit can use the emotion estimation function to prioritize illustrating news on themes that are likely to interest children. The news illustration unit can, for example, use the emotion estimation function to prioritize illustrating news on themes that are likely to interest children. For example, if the news is about an earthquake, positive illustrations that will interest children are generated. The unit can also estimate children's emotions about the news content and prioritize illustrating news on themes that are likely to interest children. For example, if the news is about an earthquake, it can generate illustrations that will interest children. The unit can also use the emotion estimation function to prioritize illustrating news on themes that are likely to interest children. For example, if the news is about an earthquake, it can generate positive illustrations that will interest children. This makes it possible to provide news that is likely to interest children preferentially.

[0058] The short sentence generation unit can translate news short sentences into multiple languages ​​to allow children to make a selection. The short sentence generation unit, for example, translates news short sentences into multiple languages ​​to allow children to make a selection. For example, if the news is about an earthquake, short sentences are provided in multiple languages, such as Japanese, English, and Chinese. The generation AI also translates news short sentences into multiple languages ​​to allow children to make a selection. For example, if the news is about an earthquake, short sentences are provided in multiple languages, such as Japanese, English, and French. The news short sentences are also translated into multiple languages ​​to allow children to make a selection. For example, if the news is about an earthquake, short sentences are provided in multiple languages, such as Japanese, English, and Spanish. This allows children to understand the news in multiple languages.

[0059] The short sentence generation unit allows the generation AI to adjust the tone and speed of the voice for short news sentences to make them easier for children to hear. The short sentence generation unit allows the generation AI to adjust the tone and speed of the voice for short news sentences to make them easier for children to hear. For example, news about an earthquake is read slowly in a calm tone. The generation AI also adjusts the tone and speed of the voice for short news sentences to make them easier for children to hear. For example, news about an earthquake is read slowly in a gentle tone. The generation AI also adjusts the tone and speed of the voice for short news sentences to make them easier for children to hear. For example, news about an earthquake is read slowly in a calm tone. This allows children to understand the news in a voice that is easy to hear.

[0060] The short sentence generation unit can use the emotion estimation function to read the news in a voice that reflects the child's emotion regarding the content of the news. The short sentence generation unit, for example, estimates the child's emotion regarding the content of the news and reads in a voice that reflects that emotion. For example, if the news is about an earthquake, it is read in a calm voice that puts the child at ease. Furthermore, using the emotion estimation function, it reads in a voice that reflects the child's emotion regarding the content of the news. For example, if the news is about an earthquake, it is read in a positive voice that will interest the child. Furthermore, it estimates the child's emotion regarding the content of the news and reads in a voice that reflects that emotion. For example, if the news is about an earthquake, it is read in a calm voice that puts the child at ease. In this way, the news can be read in a voice that matches the child's emotion.

[0061] The short sentence generation unit can read short news sentences to rhythm and melody like a song, allowing children to understand while having fun. The short sentence generation unit, for example, reads short news sentences to rhythm and melody like a song, allowing children to understand while having fun. For example, in news about an earthquake, the occurrence of the earthquake and the evacuation situation are sung to rhythm. The generation AI also reads short news sentences to rhythm and melody like a song, allowing children to understand while having fun. For example, in news about an earthquake, the occurrence of the earthquake and the evacuation situation are sung to melody. The generation AI also reads short news sentences to rhythm and melody like a song, allowing children to understand while having fun. For example, in news about an earthquake, the occurrence of the earthquake and the evacuation situation are sung to rhythm. The generation AI also reads short news sentences to rhythm and melody like a song, allowing children to understand while having fun. For example, in news about an earthquake, the occurrence of the earthquake and the evacuation situation are sung to rhythm. This allows children to understand the news while having fun.

[0062] The short sentence generation unit can read short news sentences in a character's voice to make them more familiar to children. The short sentence generation unit, for example, reads short news sentences in a character's voice to make them more familiar to children. For example, news about an earthquake is read in the voice of a popular character. The generation AI also reads short news sentences in a character's voice to make them more familiar to children. For example, news about an earthquake is read in the voice of an anime character. Furthermore, short news sentences are read in a character's voice to make them more familiar to children. For example, news about an earthquake is read in the voice of a character popular with children. This allows children to understand the news in a familiar voice.

[0063] The short sentence generation unit can use the emotion estimation function to prioritize reading out news that children are likely to be interested in. The short sentence generation unit, for example, uses the emotion estimation function to prioritize reading out news that children are likely to be interested in. For example, if the news is about an earthquake, it prioritizes reading out positive content that children will be interested in. Furthermore, it estimates children's emotions about the news content and prioritizes reading out news that children are likely to be interested in. For example, if the news is about an earthquake, it prioritizes reading out content that children will be interested in. Furthermore, it uses the emotion estimation function to prioritize reading out news that children are likely to be interested in. For example, if the news is about an earthquake, it prioritizes reading out positive content that children will be interested in. This makes it possible to provide news that children are likely to be interested in preferentially.

[0064] The answer generation unit allows the generation AI to display related videos and images based on what the child says. The answer generation unit allows the generation AI to display related videos and images based on what the child says. For example, if the child says, "What is an earthquake?", a video explaining the mechanism behind earthquakes will be displayed. The generation AI also displays related videos and images based on what the child says. For example, if the child says, "What is the damage from the earthquake?", an image showing the damage caused by the earthquake will be displayed. Furthermore, the generation AI displays related videos and images based on what the child says. For example, if the child says, "How do I evacuate in an earthquake?", a video explaining how to evacuate will be displayed. This allows the child to visually obtain additional information.

[0065] The answer generation unit allows the generation AI to provide additional information in a dialogue format in response to what the child says. For example, when a child says, "What is an earthquake?", the generation AI will respond in a dialogue format with, "An earthquake is a phenomenon in which the ground shakes. Would you like to know more?" The generation AI also provides additional information in a dialogue format in response to what the child says. For example, when a child says, "What kind of damage does an earthquake cause?", the generation AI will respond in a dialogue format with, "Damage from an earthquake includes building collapses and fires. Would you like to know more?" The generation AI also provides additional information in a dialogue format in response to what the child says. For example, when a child says, "How do you evacuate during an earthquake?", the generation AI will respond in a dialogue format with, "In the event of an earthquake, first hide under a desk. What should you do next?" This allows the child to obtain additional information in a dialogue format.

[0066] The answer generation unit can use the emotion estimation function to generate answers that correspond to the child's emotions. The answer generation unit, for example, uses the emotion estimation function to generate answers that correspond to the child's emotions. For example, if the news about an earthquake makes a child feel anxious, an answer that gives a sense of security is generated. Furthermore, the generation AI uses the emotion estimation function to generate answers that correspond to the child's emotions. For example, if the news about an earthquake makes a child interested, an answer that will keep the child interested is generated. Furthermore, the emotion estimation function is used to generate answers that correspond to the child's emotions. For example, if the news about an earthquake makes a child feel anxious, an answer that gives a sense of security is generated. In this way, answers that correspond to the child's emotions can be provided.

[0067] The answer generation unit can have the generation AI provide relevant quizzes and games based on what the child has said. The answer generation unit has the generation AI provide relevant quizzes and games based on what the child has said, for example. For example, if the child says, "What is an earthquake?", a quiz about earthquakes will be provided. The generation AI also provides relevant quizzes and games based on what the child has said. For example, if the child says, "What kind of damage will an earthquake cause?", a game about earthquake damage will be provided. The generation AI also provides relevant quizzes and games based on what the child has said. For example, if the child says, "How do I evacuate in the event of an earthquake?", a quiz about evacuation methods will be provided. This allows children to understand the news through quizzes and games.

[0068] The answer generation unit allows the generation AI to generate a related story in response to what the child says, and provide information in story format. The answer generation unit allows the generation AI to generate a related story in response to what the child says, and provide information in story format. For example, when the child says, "What is an earthquake?", a story with the theme of earthquake occurrence is generated. The generation AI also generates a related story in response to what the child says, and provides information in story format. For example, when the child says, "What damage will the earthquake cause?", a story with the theme of earthquake damage is generated. The generation AI also generates a related story in response to what the child says, and provides information in story format. For example, when the child says, "How do I evacuate in the event of an earthquake?", a story with the theme of evacuation methods is generated. This allows children to understand the news in story format.

[0069] The answer generation unit can use the emotion estimation function to preferentially provide additional information related to topics that children are likely to be interested in. The answer generation unit, for example, uses the emotion estimation function to preferentially provide additional information related to topics that children are likely to be interested in. For example, if a child is interested in news about an earthquake, detailed information about the earthquake is provided. The generation AI also uses the emotion estimation function to preferentially provide additional information related to topics that children are likely to be interested in. For example, if a child is interested in news about an earthquake, information about the mechanism by which earthquakes occur is provided. The emotion estimation function also uses the emotion estimation function to preferentially provide additional information related to topics that children are likely to be interested in. For example, if a child is interested in news about an earthquake, information about earthquake evacuation methods is provided. This makes it possible to preferentially provide information related to topics that children are likely to be interested in.

[0070] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0071] The news understanding support system can further include a historical information provision unit that provides relevant historical background and past examples based on the content of the news. For example, if the news is about an earthquake, information about past major earthquakes and their impacts will be provided. The generation AI will also provide relevant historical background based on the content of the news. For example, if the news is about an earthquake, information will be provided about the mechanisms behind past earthquakes and the subsequent reconstruction efforts. Furthermore, relevant historical background will be provided based on the content of the news. For example, if the news is about an earthquake, information will be provided about the damage caused by past earthquakes and the subsequent disaster prevention measures. This makes it easier for children to understand the background of the news.

[0072] The news understanding support system can further include a science commentary unit that provides relevant scientific commentary based on the content of the news. For example, if the news is about an earthquake, an explanation will be provided about the mechanism behind earthquakes and the types of seismic waves. The generation AI will also provide relevant scientific commentary based on the content of the news. For example, if the news is about an earthquake, an explanation will be provided about the causes of earthquakes and plate tectonics. Furthermore, relevant scientific commentary will be provided based on the content of the news. For example, if the news is about an earthquake, an explanation will be provided about earthquake prediction technology and disaster prevention measures. This makes it easier for children to understand the scientific aspects of the news.

[0073] The news understanding support system can further include a cultural information provision unit that provides relevant cultural background and social impact based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on the local community and culture is provided. The generation AI also provides relevant cultural background based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on local traditions and customs is provided. Furthermore, relevant cultural background is provided based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on the local economy and society is provided. This makes it easier for children to understand the cultural aspects of the news.

[0074] The news understanding support system can further include an environmental information provision unit that provides relevant environmental impacts based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on the natural environment is provided. The generation AI also provides relevant environmental impacts based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on the topography and ecosystem is provided. Further, relevant environmental impacts are provided based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on the climate and water resources is provided. This makes it easier for children to understand the environmental aspects of the news.

[0075] The news understanding support system can further include an economic information provision unit that provides relevant economic impacts based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on the local economy and industry is provided. The generation AI also provides relevant economic impacts based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on the construction industry and tourism industry is provided. Further, relevant economic impacts are provided based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on local employment and income is provided. This makes it easier for children to understand the economic aspects of the news.

[0076] The news understanding support system can further include a psychological information provision unit that provides relevant psychological effects based on the content of the news. For example, if the news is about an earthquake, information about the psychological effects of earthquakes on people is provided. The generation AI also provides relevant psychological effects based on the content of the news. For example, if the news is about an earthquake, information about the psychological effects of earthquakes on people is provided. Further, relevant psychological effects are provided based on the content of the news. For example, if the news is about an earthquake, information about the psychological effects of earthquakes on children is provided. This makes it easier for children to understand the psychological aspects of the news.

[0077] The news understanding support system can further include an emotion information provision unit that provides relevant emotional responses based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on people's emotions is provided. The generation AI also provides relevant emotional responses based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on people's fear and sadness is provided. Further, relevant emotional responses are provided based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on people's hope and courage is provided. This makes it easier for children to understand the emotional aspects of the news.

[0078] The news understanding support system can further include a social information provision unit that provides relevant social reactions based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on the local community is provided. The generation AI also provides relevant social reactions based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on the local community and volunteer activities is provided. Further, relevant social reactions are provided based on the content of the news. For example, if the news is about an earthquake, information about the impact of the earthquake on local solidarity and mutual support is provided. This makes it easier for children to understand the social aspects of the news.

[0079] The news understanding support system can further include an educational information provision unit that provides relevant educational information based on the content of the news. For example, if the news is about an earthquake, educational information and learning materials about earthquakes are provided. The generation AI also provides relevant educational information based on the content of the news. For example, if the news is about an earthquake, educational information about the mechanism of earthquake occurrence and disaster prevention measures is provided. Furthermore, relevant educational information is provided based on the content of the news. For example, if the news is about an earthquake, educational information about the history of earthquakes and scientific knowledge about earthquakes is provided. This allows children to deepen their learning through the news.

[0080] The news understanding support system can further include an emotional support unit that provides relevant emotional support based on the content of the news. For example, if the news is about an earthquake, support is provided to reduce the anxiety and fear that the earthquake causes to children. The generation AI also provides relevant emotional support based on the content of the news. For example, if the news is about an earthquake, relaxation methods are provided to reduce the stress that the earthquake causes to children. Furthermore, relevant emotional support is provided based on the content of the news. For example, if the news is about an earthquake, counseling information is provided to reduce the anxiety that the earthquake causes to children. This allows children to receive emotional support through the news.

[0081] The processing flow of the second embodiment will be briefly explained below.

[0082] Step 1: The news illustration unit illustrates the news. For example, the generation AI generates illustrations based on the text data of a news article. For example, if the news is about an earthquake, the generation AI will illustrate the location of the earthquake and the extent of the damage. Step 2: The short sentence generator generates short sentences based on the illustrations generated by the news illustration generator. For example, the generator AI filters the content of a news article and summarizes it into short sentences that are easy for children to understand. For example, it summarizes it as "An earthquake has occurred. Many houses have been destroyed." Step 3: The reading unit automatically reads the short sentences generated by the short sentence generation unit. For example, the generation AI uses speech synthesis technology to read short sentences. For example, it automatically reads a short sentence such as, "An earthquake has occurred. Many houses have been destroyed." Step 4: The answer generation unit generates an answer based on what the child has said. For example, the generation AI analyzes the audio data of what the child has said and generates an answer to that question. For example, if the child asks, "What is an earthquake?", the generation AI generates an answer such as, "An earthquake is a phenomenon in which the ground shakes."

[0083] 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.

[0084] 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.

[0085] 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.

[0086] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0087] 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.

[0088] 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.

[0089] 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.

[0090] 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.

[0091] 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).

[0092] 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.

[0093] 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.

[0094] 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.

[0095] 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.

[0096] 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.

[0097] 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.

[0098] 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.

[0099] 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.

[0100] 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.

[0101] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0102] 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.

[0103] 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.

[0104] 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.

[0105] 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.

[0106] 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).

[0107] 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.

[0108] 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.

[0109] 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.

[0110] 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.

[0111] 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.

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0117] 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] 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).

[0122] 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.

[0123] 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.

[0124] 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.

[0125] 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.

[0126] 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.

[0127] 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.

[0128] 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.

[0129] 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.

[0130] 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.

[0131] 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.

[0132] 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.

[0133] 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.

[0134] 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.

[0135] 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).

[0136] 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.

[0137] 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."

[0138] 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.

[0139] 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.

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] 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.

[0145] 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.

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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]

[0150] 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. The News Illustration Department, which illustrates the news, a short sentence generation unit that generates short sentences based on the illustrations generated by the news illustration unit; a reading unit that automatically reads the short sentences generated by the short sentence generation unit; and a response generation unit that generates a response based on the content of what the child has said. A system characterized by:

2. The news illustration department Add interactive elements to news illustrations so kids can tap or click for more information 2. The system of claim 1.

3. The news illustration department Animating news illustrations to make them visually appealing for children 2. The system of claim 1.

4. The short sentence generation unit Translate news snippets into multiple languages ​​and let children choose 2. The system of claim 1.

5. The short sentence generation unit Read aloud in a way that reflects the child's feelings about the news content 2. The system of claim 1.

6. The answer generation unit Based on what the child says, generative AI displays related videos and images.

2. The system of claim 1.

7. The answer generation unit Generate answers based on the child's emotions 2. The system of claim 1.

8. The news illustration department Generate illustrations that reflect children's emotions regarding news content 2. The system of claim 1.

Images