System

Abstract

An object of a system according to an embodiment is to reduce the burden of child care and to provide an opportunity for a child to be exposed to AI environments early.SOLUTION: A system according to an embodiment includes a picture acquisition unit, a character generation unit, a story generation unit, and a selection unit. The picture acquisition unit acquires a picture drawn on a tablet. The character generation unit generates the picture acquired by the picture acquisition unit as a character. The story generation unit generates a story based on the character generated by the character generation unit. In the selection part, the parent selects the genre of the story or the age, character name and purpose of 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] Existing technologies have room for improvement in terms of reducing the burden of childcare and providing children with early exposure to AI environments.

[0005] The system according to the embodiment aims to reduce the burden of childcare and provide children with an opportunity to experience an AI environment at an early stage. [Means for solving the problem]

[0006] The system according to the embodiment includes a picture acquisition unit, a character generation unit, a story generation unit, and a selection unit. The picture acquisition unit acquires a picture drawn on a tablet. The character generation unit generates a character from the picture acquired by the picture acquisition unit. The story generation unit generates a story based on the character generated by the character generation unit. The selection unit allows a parent to select the story genre or the child's age, character name, and purpose. [Effects of the Invention]

[0007] The system according to the embodiment can reduce the burden of childcare and provide children with an opportunity to be exposed to an AI environment at an early stage. [Brief explanation of the drawings]

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

[0009] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[0028] (Example 1) The childcare support system according to an embodiment of the present invention automatically acquires pictures drawn by a child on a tablet, generates a picture book using a generation AI, and generates an original picture book by allowing parents to select the story genre, the child's age, character names, purpose, etc. This reduces the burden of childcare and provides children with an opportunity to experience an AI environment at an early stage.

[0029] A childcare support system according to an embodiment includes a picture acquisition unit, a character generation unit, a story generation unit, and a selection unit. The picture acquisition unit acquires pictures drawn on a tablet. For example, it acquires pictures drawn by a child using the tablet's touchscreen as digital data. The picture acquisition unit can also acquire pictures drawn using a digital pen. The picture acquisition unit can also scan hand-drawn pictures and convert them into digital data. The character generation unit generates characters from the pictures acquired by the picture acquisition unit. For example, the generation AI recognizes a child's drawing of an animal as a character and generates a story about the animal's adventures. The generation AI can also set the character's name and personality. The generation AI can also animate the character's movements. The story generation unit generates a story based on the characters generated by the character generation unit. For example, the generation AI generates a story based on instructions from the parent, such as the story genre selected by the parent, the child's age, the character name, and the purpose. The generation AI can also set the length and elements of the story. The generation AI can also incorporate educational and entertainment elements into the story. The selection unit allows parents to select the story genre, the child's age, character names, and objectives. For example, parents can select genres such as adventure, fantasy, and education for the generation AI. Parents can also select stories appropriate for their child's age. Parents can also freely set character names and objectives. This allows the childcare support system according to the embodiment to reduce the burden of childcare and provide children with an opportunity to experience an AI environment at an early stage. For example, parents can easily create original picture books that can be used for daily reading aloud. Furthermore, children can develop their creativity by having their own drawings turned into picture books. Furthermore, it can be used as an educational tool to support children's development.

[0030] The story generation unit can analyze the style or color usage of a picture and generate a story or background that reflects those characteristics. For example, the story generation unit analyzes the color usage, line thickness, and drawing characteristics of a child's picture and determines the background and story atmosphere of the picture book based on that information. For example, it generates a fun adventure story for a picture using bright colors, and a mysterious story for a picture using dark colors. The story generation unit also analyzes the style of the child's picture and generates characters and backgrounds that match that style. For example, it generates an abstract background for an abstract picture, and a realistic background for a realistic picture. Furthermore, the story generation unit determines the overall design of the picture book based on the color usage and style of the child's picture. For example, it generates a story with a soft atmosphere for a pastel-colored picture, and an energetic story for a vivid-colored picture. In this way, a more personalized picture book can be provided by generating a story and background that reflects the characteristics of the child's picture.

[0031] The story generation unit can animate the movement of the pictures and add interactive elements to the character movements. The story generation unit, for example, analyzes a picture drawn by a child and animates its movements. For example, it adds movements such as walking, flying, and jumping to the character, incorporating elements of interactive movement within the picture book. The story generation unit also adds simple animations to the characters drawn by the child, making the characters move every time a page of the picture book is turned. For example, it adds movements such as waving or laughing when the page is turned. The story generation unit also adds animations to the characters drawn by the child that match the progress of the story. For example, it adds movements such as running and fighting in scenes where the characters go on adventures in the story. In this way, by adding interactive elements, it is possible to provide a picture book that is more enjoyable for children.

[0032] The character generation unit converts pictures into 3D models and displays them three-dimensionally within the picture book. For example, the character generation unit 3D scans a picture drawn by a child and generates a 3D model based on that data. For example, it creates a three-dimensional model based on the character's outline and color and displays it three-dimensionally within the picture book. The character generation unit also analyzes a picture drawn by a child and generates a 3D model based on its shape and color. For example, it reproduces the character's face and body parts three-dimensionally and makes them movable within the picture book. The character generation unit also converts a picture drawn by a child into a 3D model and displays it three-dimensionally within the picture book. For example, it makes the character move three-dimensionally every time the page is turned, adding interactive elements. This allows the picture drawn by a child to be displayed three-dimensionally, providing a more realistic picture book.

[0033] The character generation unit can combine pictures with voice recognition technology to generate a picture book with audio in which the characters speak. The character generation unit, for example, adds audio to a character drawn by a child to generate a picture book in which the character speaks. For example, audio of the character telling a story can be added so that the child can enjoy listening to it. The character generation unit also generates audio for the character drawn by the child using voice recognition technology. For example, audio of the character calling the child's name can be added to generate a personalized picture book. Furthermore, the character generation unit adds audio to the character drawn by the child to generate an interactive picture book. For example, audio of the character answering the child's questions can be added so that the child can enjoy interacting with it. In this way, picture books with audio in which the characters speak can be provided that are more enjoyable for children.

[0034] The selection unit can generate a story that incorporates relevant historical background or cultural elements based on the story genre selected by the parent. For example, the selection unit generates a story that incorporates relevant historical background based on the story genre selected by the parent. For example, in the adventure genre, medieval knights or ancient explorers may appear. The selection unit also generates a story that incorporates cultural elements based on the story genre selected by the parent. For example, in the fantasy genre, the story may depict the cultures and customs of another world. Furthermore, the selection unit generates a story that combines historical background and cultural elements based on the story genre selected by the parent. For example, in the educational genre, the story may contain content that allows children to learn about historical events or cultural customs. In this way, by incorporating historical background and cultural elements, it is possible to provide a picture book with high educational value.

[0035] The selection unit can generate a multi-ending picture book with multiple endings based on elements selected by a parent. The selection unit generates a picture book with multiple endings based on elements selected by a parent, for example. For example, different endings with different adventure outcomes can be prepared so that a child can choose one. The selection unit also generates different endings according to the progress of the story based on elements selected by a parent. For example, a story can be created in which the ending changes depending on the choices and actions of the characters. Furthermore, the selection unit prepares multiple endings, such as an emotional ending or a surprising ending, based on elements selected by a parent, so that a child can enjoy it. In this way, by providing a picture book with multiple endings, it is possible to provide the child with the enjoyment of being able to choose.

[0036] The selection unit can incorporate interactive quizzes and games into the picture book based on the elements selected by the parent. The selection unit, for example, incorporates interactive quizzes into the picture book based on the elements selected by the parent. For example, quizzes are presented in line with the progress of the story, and the story progresses as the child answers them. The selection unit also incorporates interactive games into the picture book based on the elements selected by the parent. For example, a mini-game that the child can control is added to a scene in which a character is adventuring. The selection unit also incorporates educational quizzes and games into the picture book based on the elements selected by the parent. For example, a quiz that teaches the importance of brushing teeth or a game that teaches the steps for getting dressed is added. In this way, by incorporating interactive quizzes and games, a picture book that allows children to learn while having fun can be provided.

[0037] The system is provided for a fixed monthly cost, allowing monetization in conjunction with printing of books or creation of merchandise. In addition to the monthly service, the system may, for example, provide limited edition picture books and merchandise tailored to specific themes or seasons. For example, limited edition picture books tailored to specific themes or seasons, such as Christmas or Halloween, may be provided. The system may also provide picture books and merchandise with different themes for each season, providing users with new experiences. For example, picture books with a flower or animal theme may be provided in spring. Furthermore, the system may provide limited edition picture books and merchandise tailored to specific events or anniversaries, attracting users' attention. For example, personalized picture books tailored to children's birthdays may be provided. This allows the system to provide a continuous service to users while ensuring stable revenue by being provided at a fixed monthly cost.

[0038] The system can provide limited edition picture books or goods tailored to a specific theme or season in addition to the monthly service. For example, the system provides limited edition picture books tailored to a specific theme or season, such as Christmas or Halloween, in addition to the monthly service. For example, picture books featuring Santa Claus are provided for Christmas. The system also provides picture books and goods with different themes for each season, providing users with new experiences. For example, picture books with a flower or animal theme are provided for spring. Furthermore, the system provides limited edition picture books and goods tailored to a specific event or anniversary to attract users' attention. For example, a personalized picture book tailored to a child's birthday is provided. This makes it possible to continue attracting users' attention by providing limited edition picture books and goods tailored to a specific theme or season.

[0039] The system can suggest personalized picture book recommendations or goods based on the user's usage history or preferences. For example, the system analyzes the user's usage history and suggests personalized picture book recommendations based on that data. For example, it suggests new picture books based on the genres and characters of picture books that have been read in the past. The system also analyzes the user's preferences and suggests personalized goods based on that data. For example, it suggests goods of a favorite character or related items. Furthermore, the system builds a system that periodically suggests personalized picture book recommendations and goods based on the user's usage history and preferences. For example, it suggests new recommended items every month. This makes it possible to improve user satisfaction by making personalized suggestions based on the user's usage history and preferences.

[0040] The system can develop apps or games using picture book characters and include them in the monthly service. For example, the system develops apps using picture book characters and includes them in the monthly service. For example, an interactive story app featuring the characters is provided. The system also develops games using picture book characters and includes them in the monthly service. For example, an action game or puzzle game in which the characters go on an adventure is provided. The system also develops educational apps using picture book characters and includes them in the monthly service. For example, an educational app in which the characters become learning partners is provided. This makes it possible to provide users with new experiences by providing apps and games using picture book characters.

[0041] The system can provide educational animated videos using picture book characters and include them in a monthly service. For example, the system creates educational animated videos using picture book characters and includes them in a monthly service. For example, a video series is provided in which the characters are learning partners. The system also creates animated videos using picture book characters and provides stories with educational content. For example, animated videos that teach science or history are provided. The system also creates animated videos using picture book characters and provides content that allows children to learn while having fun. For example, a video series is provided in which the characters learn while going on adventures. In this way, by providing educational animated videos, content that allows children to learn while having fun can be provided.

[0042] The system constructs an interactive learning system as an educational tool in which children create their own problems and a generating AI provides the answers to them. For example, the system constructs an interactive learning system in which children create their own problems and a generating AI provides the answers to them. For example, an AI provides answers to math problems created by children. The system also develops a system in which a generating AI provides answers to problems created by children. For example, an AI provides answers to history problems created by children. The system also constructs an interactive learning system in which children create their own problems and a generating AI provides the answers to them. For example, an AI provides answers to science problems created by children. This allows for an interactive learning experience in which children create their own problems and a generating AI provides the answers.

[0043] The system generates personalized stories based on past memories and photographs as entertainment for persons with dementia. For example, the system generates personalized stories based on past memories and photographs for persons with dementia. For example, it provides stories based on family photographs and memorable places. Also, a system is developed that generates personalized stories based on past memories and photographs for persons with dementia. For example, it provides stories based on old friends and events. Furthermore, the system generates personalized stories based on past memories and photographs for persons with dementia. For example, it provides stories based on childhood memories and family history. In this way, by providing personalized stories for persons with dementia, they can enjoy past memories.

[0044] The system provides multimodal content that caters to different learning styles as an educational tool. For example, the system provides multimodal content that caters to visual, auditory, and tactile senses as an educational tool. For example, visual illustrations, auditory audio description, and tactile interactive elements may be combined. The system also provides educational tools that cater to different learning styles, allowing children to learn in a way that suits them best. For example, the system combines visual videos, auditory audio, and tactile games. The system also provides multimodal content and develops educational tools that cater to different learning styles. For example, the system combines visual illustrations, auditory explanations, and tactile experiments. In this way, the system provides multimodal content that caters to different learning styles, allowing children to learn in a way that suits them best.

[0045] The system generates a personalized guide for people with dementia, including a daily life schedule and reminders. For example, the system generates a personalized guide for people with dementia, including a daily life schedule and reminders. For example, it reminds people of medication times and appointments. Also, a system is developed that provides a personalized guide for people with dementia, including a daily life schedule and reminders. For example, it reminds people of meal times and activity plans. Furthermore, the system generates a personalized guide for people with dementia, including a daily life schedule and reminders. For example, it reminds people of family birthdays and important events. In this way, it is possible to provide a personalized guide for people with dementia and support them in their daily lives.

[0046] In the process of soliciting picture book themes and training the AI, the generation AI automatically provides feedback in response to the theme requests from general creators, helping the creators improve their themes. For example, the system builds a system in which the generation AI automatically provides feedback in response to theme requests from general creators. For example, it points out the strengths of the theme and areas for improvement. The system also provides feedback on the creator's theme, and the creator improves the theme based on that feedback. For example, it provides advice on story development and character settings. Furthermore, the system automatically provides feedback in response to theme requests from general creators, helping the creator improve their theme. For example, it makes suggestions regarding the theme and genre of the theme. This makes it easier for creators to improve their theme by having the generation AI provide feedback.

[0047] The system solicits picture book themes and trains an AI, which then uses the generated AI to generate multiple story ideas based on the solicited themes, allowing the user to choose from them. For example, the system constructs a system in which the generated AI generates multiple story ideas based on the solicited themes. For example, it generates story ideas with different endings or developments. The system also generates multiple story ideas based on the solicited themes, allowing the user to choose from them. For example, it provides story ideas according to genres such as adventure, fantasy, and education. Furthermore, the system develops a system in which the generated AI generates multiple story ideas based on the solicited themes, allowing the user to choose from them. For example, it provides an interface that allows the user to select their favorite story. This allows the user to select their favorite story by providing multiple story ideas.

[0048] The system solicits picture book themes and trains the AI, and then the generation AI adds new characters and settings based on the solicited themes to create an original picture book series. For example, the system builds a system in which the generation AI adds new characters and settings based on the solicited themes. For example, new allies or enemies are added to existing characters. The system also creates an original picture book series in which the generation AI adds new characters and settings based on the solicited themes. For example, it sets a setting or background for a new adventure. The system also develops a system in which the generation AI adds new characters and settings based on the solicited themes to create an original picture book series. For example, it generates a new story based on a theme selected by the user. This allows an original picture book series to be created by adding new characters and settings.

[0049] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0050] The childcare support system can further include a translation unit. The translation unit can translate the content of the created picture book into multiple languages. For example, if a parent creates a picture book in English, the translation unit can translate the picture book into Japanese, French, or other languages. The translation unit can also automatically translate the content of the picture book based on the language selected by the parent or child. For example, if a parent says, "Translate this picture book into Spanish," the system can automatically translate it into Spanish. Furthermore, the translation unit can translate not only the content of the picture book, but also the character names and lines. This allows families speaking different languages ​​to enjoy the same picture book.

[0051] The childcare support system may further include a music generation unit. The music generation unit can automatically generate music and sound effects that match the generated picture book. For example, exciting music can be added to an adventure story, and moving music can be added to an emotional story. The music generation unit can also customize the music of the picture book based on the music genre selected by the parent or child. For example, if a parent says, "Add classical music," the system can add classical music to the picture book. Furthermore, the music generation unit can add sound effects that match the character's movements and the progress of the story. This makes it possible to provide a picture book that feels more realistic by using music and sound effects.

[0052] The childcare support system can also be equipped with a function to customize character voices. For example, a parent or child can select a character's voice and have the story read aloud in that voice. The system can also convert the character's voice into that of the parent or child. For example, if a parent says, "Make this character's voice my voice," the system can record the parent's voice and set the character to speak in that voice. Furthermore, the character's voice can be changed to match the character's emotions. For example, the character can speak in a sad voice in a sad scene and in a happy voice in a happy scene. In this way, customizing the character's voice makes it possible to provide picture books that are more unique and emotionally rich.

[0053] The childcare support system can further include a dialogue unit to promote communication between parents and children. The dialogue unit can provide questions and topics for parents and children to enjoy while reading a picture book together. For example, questions such as "What do you think about this character?" and "What do you think will happen next?" are displayed as the story progresses. The dialogue unit can also provide quizzes and puzzles for parents and children to think about together. For example, it can present a problem that a character must solve in the story, allowing parents and children to think about a solution together. Furthermore, the dialogue unit can provide ideas for parents and children to create a picture book together. This can promote communication between parents and children and deepen the bond between them.

[0054] The childcare support system may further include a feedback unit that collects parental feedback. The feedback unit provides an interface through which parents can input their impressions of the system and suggestions for improvement. For example, if a parent inputs feedback such as "This story is too difficult for my child," the system can adjust the difficulty of the story based on that feedback. The feedback unit also provides a function through which parents can input requests and suggestions for the system. For example, if a parent inputs a request such as "I want more diverse characters to be added," the system can add new characters based on that request. Furthermore, the feedback unit can analyze parental feedback and use it to improve the system. In this way, a childcare support system that is easier to use can be provided by reflecting parental feedback.

[0055] The processing flow of the first embodiment will be briefly explained below.

[0056] Step 1: The picture acquisition unit acquires a picture drawn on the tablet. For example, a picture drawn by a child using the tablet's touch screen is acquired as digital data. It can also scan pictures drawn with a digital pen or hand-drawn pictures and convert them into digital data. Step 2: The character generation unit generates a character from the picture acquired by the picture acquisition unit. For example, the generation AI can recognize a child's drawing of an animal as a character and generate a story about the animal's adventures. It can also set the character's name and personality, and animate the character's movements. Step 3: The story generation unit generates a story based on the characters generated by the character generation unit. For example, the generation AI generates a story based on instructions such as the story genre selected by the parent, the child's age, character name, and purpose. The length and components of the story can also be set, and educational and entertainment elements can be incorporated. Step 4: In the selection section, parents select the story genre, their child's age, character names, and goals. For example, parents can select genres such as adventure, fantasy, and education for the AI ​​generator. They can also select a story appropriate for their child's age and freely set character names and goals.

[0057] (Example 2) The childcare support system according to an embodiment of the present invention automatically acquires pictures drawn by a child on a tablet, generates a picture book using a generation AI, and generates an original picture book by allowing parents to select the story genre, the child's age, character names, purpose, etc. This reduces the burden of childcare and provides children with an opportunity to experience an AI environment at an early stage.

[0058] A childcare support system according to an embodiment includes a picture acquisition unit, a character generation unit, a story generation unit, and a selection unit. The picture acquisition unit acquires pictures drawn on a tablet. For example, it acquires pictures drawn by a child using the tablet's touchscreen as digital data. The picture acquisition unit can also acquire pictures drawn using a digital pen. The picture acquisition unit can also scan hand-drawn pictures and convert them into digital data. The character generation unit generates characters from the pictures acquired by the picture acquisition unit. For example, the generation AI recognizes a child's drawing of an animal as a character and generates a story about the animal's adventures. The generation AI can also set the character's name and personality. The generation AI can also animate the character's movements. The story generation unit generates a story based on the characters generated by the character generation unit. For example, the generation AI generates a story based on instructions from the parent, such as the story genre selected by the parent, the child's age, the character name, and the purpose. The generation AI can also set the length and elements of the story. The generation AI can also incorporate educational and entertainment elements into the story. The selection unit allows parents to select the story genre, the child's age, character names, and objectives. For example, parents can select genres such as adventure, fantasy, and education for the generation AI. Parents can also select stories appropriate for their child's age. Parents can also freely set character names and objectives. This allows the childcare support system according to the embodiment to reduce the burden of childcare and provide children with an opportunity to experience an AI environment at an early stage. For example, parents can easily create original picture books that can be used for daily reading aloud. Furthermore, children can develop their creativity by having their own drawings turned into picture books. Furthermore, it can be used as an educational tool to support children's development.

[0059] The story generation unit can analyze the style or color usage of a picture and generate a story or background that reflects those characteristics. For example, the story generation unit analyzes the color usage, line thickness, and drawing characteristics of a child's picture and determines the background and story atmosphere of the picture book based on that information. For example, it generates a fun adventure story for a picture using bright colors, and a mysterious story for a picture using dark colors. The story generation unit also analyzes the style of the child's picture and generates characters and backgrounds that match that style. For example, it generates an abstract background for an abstract picture, and a realistic background for a realistic picture. Furthermore, the story generation unit determines the overall design of the picture book based on the color usage and style of the child's picture. For example, it generates a story with a soft atmosphere for a pastel-colored picture, and an energetic story for a vivid-colored picture. In this way, a more personalized picture book can be provided by generating a story and background that reflects the characteristics of the child's picture.

[0060] The story generation unit can animate the movement of the pictures and add interactive elements to the character movements. The story generation unit, for example, analyzes a picture drawn by a child and animates its movements. For example, it adds movements such as walking, flying, and jumping to the character, incorporating elements of interactive movement within the picture book. The story generation unit also adds simple animations to the characters drawn by the child, making the characters move every time a page of the picture book is turned. For example, it adds movements such as waving or laughing when the page is turned. The story generation unit also adds animations to the characters drawn by the child that match the progress of the story. For example, it adds movements such as running and fighting in scenes where the characters go on adventures in the story. In this way, by adding interactive elements, it is possible to provide a picture book that is more enjoyable for children.

[0061] The story generation unit can use the emotion estimation function to generate a story that matches the emotion based on the emotion estimated from the picture. The story generation unit, for example, analyzes the colors and facial expressions of a picture drawn by a child to estimate the emotion. For example, it estimates joy from a picture using bright colors and sadness from a picture using dark colors, and generates a story that matches that emotion. The story generation unit also analyzes the facial expressions and poses of the characters in the picture drawn by the child to estimate the emotion. For example, it generates a happy story from a smiling character and a moving story from a crying character. Furthermore, the story generation unit analyzes the overall atmosphere of the picture drawn by the child to estimate the emotion. For example, it generates a happy story if the overall atmosphere of the picture is bright, and a mysterious story if the overall atmosphere is dark. In this way, a more emotional picture book can be provided by generating a story that matches the child's emotion.

[0062] The character generation unit converts pictures into 3D models and displays them three-dimensionally within the picture book. For example, the character generation unit 3D scans a picture drawn by a child and generates a 3D model based on that data. For example, it creates a three-dimensional model based on the character's outline and color and displays it three-dimensionally within the picture book. The character generation unit also analyzes a picture drawn by a child and generates a 3D model based on its shape and color. For example, it reproduces the character's face and body parts three-dimensionally and makes them movable within the picture book. The character generation unit also converts a picture drawn by a child into a 3D model and displays it three-dimensionally within the picture book. For example, it makes the character move three-dimensionally every time the page is turned, adding interactive elements. This allows the picture drawn by a child to be displayed three-dimensionally, providing a more realistic picture book.

[0063] The character generation unit can combine pictures with voice recognition technology to generate a picture book with audio in which the characters speak. The character generation unit, for example, adds audio to a character drawn by a child to generate a picture book in which the character speaks. For example, audio of the character telling a story can be added so that the child can enjoy listening to it. The character generation unit also generates audio for the character drawn by the child using voice recognition technology. For example, audio of the character calling the child's name can be added to generate a personalized picture book. Furthermore, the character generation unit adds audio to the character drawn by the child to generate an interactive picture book. For example, audio of the character answering the child's questions can be added so that the child can enjoy interacting with it. In this way, picture books with audio in which the characters speak can be provided that are more enjoyable for children.

[0064] The story generation unit can use the emotion estimation function to collect the parent's emotional reaction to the picture and adjust the story based on that reaction. For example, the story generation unit collects the parent's emotional reaction to a picture drawn by their child and adjusts the story based on that data. For example, if the parent is happy, it generates a fun story, and if the parent is moved, it generates a touching story. The story generation unit also uses the emotion estimation function to collect the parent's emotional reaction to the picture drawn by their child in real time and dynamically adjusts the story based on that reaction. For example, if the parent is laughing, it generates a humorous story. Furthermore, the story generation unit analyzes the parent's emotional reaction to the picture drawn by their child and personalizes the story based on that data. For example, if the parent is moved, it adds a touching ending. In this way, by adjusting the story based on the parent's emotional reaction, a more personalized picture book can be provided.

[0065] The selection unit can generate a story that incorporates relevant historical background or cultural elements based on the story genre selected by the parent. For example, the selection unit generates a story that incorporates relevant historical background based on the story genre selected by the parent. For example, in the adventure genre, medieval knights or ancient explorers may appear. The selection unit also generates a story that incorporates cultural elements based on the story genre selected by the parent. For example, in the fantasy genre, the story may depict the cultures and customs of another world. Furthermore, the selection unit generates a story that combines historical background and cultural elements based on the story genre selected by the parent. For example, in the educational genre, the story may contain content that allows children to learn about historical events or cultural customs. In this way, by incorporating historical background and cultural elements, it is possible to provide a picture book with high educational value.

[0066] The selection unit can use the emotion estimation function to predict a child's emotional reaction to elements selected by the parent and adjust the story based on that reaction. For example, the selection unit predicts a child's emotional reaction to elements selected by the parent and adjusts the story based on that data. For example, the selection unit generates a story that includes many elements that will please a child. The selection unit also uses the emotion estimation function to predict a child's emotional reaction to elements selected by the parent in real time and dynamically adjusts the story based on that reaction. For example, it adds scenes that will excite the child. Furthermore, the selection unit analyzes the child's emotional reaction to elements selected by the parent and personalizes the story based on that data. For example, it adds an ending that will move the child. In this way, a more personalized picture book can be provided by adjusting the story based on the child's emotional reaction.

[0067] The selection unit can generate a multi-ending picture book with multiple endings based on elements selected by a parent. The selection unit generates a picture book with multiple endings based on elements selected by a parent, for example. For example, different endings with different adventure outcomes can be prepared so that a child can choose one. The selection unit also generates different endings according to the progress of the story based on elements selected by a parent. For example, a story can be created in which the ending changes depending on the choices and actions of the characters. Furthermore, the selection unit prepares multiple endings, such as an emotional ending or a surprising ending, based on elements selected by a parent, so that a child can enjoy it. In this way, by providing a picture book with multiple endings, it is possible to provide the child with the enjoyment of being able to choose.

[0068] The selection unit can incorporate interactive quizzes and games into the picture book based on the elements selected by the parent. The selection unit, for example, incorporates interactive quizzes into the picture book based on the elements selected by the parent. For example, quizzes are presented in line with the progress of the story, and the story progresses as the child answers them. The selection unit also incorporates interactive games into the picture book based on the elements selected by the parent. For example, a mini-game that the child can control is added to a scene in which a character is adventuring. The selection unit also incorporates educational quizzes and games into the picture book based on the elements selected by the parent. For example, a quiz that teaches the importance of brushing teeth or a game that teaches the steps for getting dressed is added. In this way, by incorporating interactive quizzes and games, a picture book that allows children to learn while having fun can be provided.

[0069] The selection unit can use the emotion estimation function to monitor the child's emotional reactions to elements selected by the parent in real time and dynamically adjust the progress of the story. For example, the selection unit uses the emotion estimation function to monitor the child's emotional reactions to elements selected by the parent in real time and dynamically adjust the progress of the story based on the data. For example, if the child is excited, an action scene is added. The selection unit also analyzes the child's emotional reactions in real time and builds a system that adjusts the progress of the story based on the results. For example, if the child is bored, a new character is introduced. Furthermore, the selection unit monitors the child's emotional reactions to elements selected by the parent and personalizes the progress of the story based on the data. For example, if the child is moved, an emotional scene is added. In this way, by dynamically adjusting the progress of the story based on the child's emotional reactions, a more personalized picture book can be provided.

[0070] The system is provided for a fixed monthly cost, allowing monetization in conjunction with printing of books or creation of merchandise. In addition to the monthly service, the system may, for example, provide limited edition picture books and merchandise tailored to specific themes or seasons. For example, limited edition picture books tailored to specific themes or seasons, such as Christmas or Halloween, may be provided. The system may also provide picture books and merchandise with different themes for each season, providing users with new experiences. For example, picture books with a flower or animal theme may be provided in spring. Furthermore, the system may provide limited edition picture books and merchandise tailored to specific events or anniversaries, attracting users' attention. For example, personalized picture books tailored to children's birthdays may be provided. This allows the system to provide a continuous service to users while ensuring stable revenue by being provided at a fixed monthly cost.

[0071] The system can provide limited edition picture books or goods tailored to a specific theme or season in addition to the monthly service. For example, the system provides limited edition picture books tailored to a specific theme or season, such as Christmas or Halloween, in addition to the monthly service. For example, picture books featuring Santa Claus are provided for Christmas. The system also provides picture books and goods with different themes for each season, providing users with new experiences. For example, picture books with a flower or animal theme are provided for spring. Furthermore, the system provides limited edition picture books and goods tailored to a specific event or anniversary to attract users' attention. For example, a personalized picture book tailored to a child's birthday is provided. This makes it possible to continue attracting users' attention by providing limited edition picture books and goods tailored to a specific theme or season.

[0072] The system can suggest personalized picture book recommendations or goods based on the user's usage history or preferences. For example, the system analyzes the user's usage history and suggests personalized picture book recommendations based on that data. For example, it suggests new picture books based on the genres and characters of picture books that have been read in the past. The system also analyzes the user's preferences and suggests personalized goods based on that data. For example, it suggests goods of a favorite character or related items. Furthermore, the system builds a system that periodically suggests personalized picture book recommendations and goods based on the user's usage history and preferences. For example, it suggests new recommended items every month. This makes it possible to improve user satisfaction by making personalized suggestions based on the user's usage history and preferences.

[0073] The system can use the emotion estimation function to analyze the user's emotional response and provide special offers or promotions based on the emotion. For example, the system uses the emotion estimation function to analyze the user's emotional response and provide special offers and promotions based on the data. For example, if the user is happy, a limited edition picture book is offered at a discounted price. The system also analyzes the user's emotional response in real time and dynamically provides special offers and promotions based on the results. For example, if the user is moved, a picture book with a moving story is suggested. Furthermore, the system builds a system that provides special offers and promotions tailored to the user's emotions based on the emotion estimation data. For example, if the user is excited, a picture book with many action scenes is suggested. This makes it possible to improve user satisfaction by providing special offers and promotions based on the user's emotions.

[0074] The system can develop apps or games using picture book characters and include them in the monthly service. For example, the system develops apps using picture book characters and includes them in the monthly service. For example, an interactive story app featuring the characters is provided. The system also develops games using picture book characters and includes them in the monthly service. For example, an action game or puzzle game in which the characters go on an adventure is provided. The system also develops educational apps using picture book characters and includes them in the monthly service. For example, an educational app in which the characters become learning partners is provided. This makes it possible to provide users with new experiences by providing apps and games using picture book characters.

[0075] The system can provide educational animated videos using picture book characters and include them in a monthly service. For example, the system creates educational animated videos using picture book characters and includes them in a monthly service. For example, a video series is provided in which the characters are learning partners. The system also creates animated videos using picture book characters and provides stories with educational content. For example, animated videos that teach science or history are provided. The system also creates animated videos using picture book characters and provides content that allows children to learn while having fun. For example, a video series is provided in which the characters learn while going on adventures. In this way, by providing educational animated videos, content that allows children to learn while having fun can be provided.

[0076] The system constructs an interactive learning system as an educational tool in which children create their own problems and a generating AI provides the answers to them. For example, the system constructs an interactive learning system in which children create their own problems and a generating AI provides the answers to them. For example, an AI provides answers to math problems created by children. The system also develops a system in which a generating AI provides answers to problems created by children. For example, an AI provides answers to history problems created by children. The system also constructs an interactive learning system in which children create their own problems and a generating AI provides the answers to them. For example, an AI provides answers to science problems created by children. This allows for an interactive learning experience in which children create their own problems and a generating AI provides the answers.

[0077] The system generates personalized stories based on past memories and photographs as entertainment for persons with dementia. For example, the system generates personalized stories based on past memories and photographs for persons with dementia. For example, it provides stories based on family photographs and memorable places. Also, a system is developed that generates personalized stories based on past memories and photographs for persons with dementia. For example, it provides stories based on old friends and events. Furthermore, the system generates personalized stories based on past memories and photographs for persons with dementia. For example, it provides stories based on childhood memories and family history. In this way, by providing personalized stories for persons with dementia, they can enjoy past memories.

[0078] The system uses an emotion estimation function to adjust the content of educational tools and entertainment to match the emotional state of the user. For example, the system uses the emotion estimation function to adjust the content of educational tools and entertainment to match the emotional state of the user. For example, if the user is happy, it provides enjoyable content. The system also analyzes the user's emotional state in real time and dynamically adjusts the content of educational tools and entertainment based on the results. For example, if the user is moved, it provides moving content. Furthermore, the system builds a system that personalizes the content of educational tools and entertainment to match the emotional state of the user based on the emotion estimation data. For example, if the user is excited, it adds an action scene. This allows the content of educational tools and entertainment to be adjusted to match the emotional state of the user, thereby providing more effective content.

[0079] The system provides multimodal content that caters to different learning styles as an educational tool. For example, the system provides multimodal content that caters to visual, auditory, and tactile senses as an educational tool. For example, visual illustrations, auditory audio description, and tactile interactive elements may be combined. The system also provides educational tools that cater to different learning styles, allowing children to learn in a way that suits them best. For example, the system combines visual videos, auditory audio, and tactile games. The system also provides multimodal content and develops educational tools that cater to different learning styles. For example, the system combines visual illustrations, auditory explanations, and tactile experiments. In this way, the system provides multimodal content that caters to different learning styles, allowing children to learn in a way that suits them best.

[0080] The system generates a personalized guide for people with dementia, including a daily life schedule and reminders. For example, the system generates a personalized guide for people with dementia, including a daily life schedule and reminders. For example, it reminds people of medication times and appointments. Also, a system is developed that provides a personalized guide for people with dementia, including a daily life schedule and reminders. For example, it reminds people of meal times and activity plans. Furthermore, the system generates a personalized guide for people with dementia, including a daily life schedule and reminders. For example, it reminds people of family birthdays and important events. In this way, it is possible to provide a personalized guide for people with dementia and support them in their daily lives.

[0081] The system uses an emotion estimation function to evaluate the effectiveness of educational tools and entertainment and continuously provide effective content. For example, the system uses the emotion estimation function to build a system for evaluating the effectiveness of educational tools and entertainment. For example, the system analyzes a user's emotional response and identifies effective content. The system also evaluates the effectiveness of educational tools and entertainment based on the user's emotional response data and continuously provides effective content based on the results. For example, it prioritizes the provision of content with a high number of positive emotional responses. Furthermore, the system collects emotion estimation data in real time and develops a system that dynamically evaluates the effectiveness of educational tools and entertainment. For example, it adjusts the content according to changes in the user's emotions. This makes it possible to evaluate the effectiveness of educational tools and entertainment and provide effective content, thereby improving user satisfaction.

[0082] In the process of soliciting picture book themes and training the AI, the generation AI automatically provides feedback in response to the theme requests from general creators, helping the creators improve their themes. For example, the system builds a system in which the generation AI automatically provides feedback in response to theme requests from general creators. For example, it points out the strengths of the theme and areas for improvement. The system also provides feedback on the creator's theme, and the creator improves the theme based on that feedback. For example, it provides advice on story development and character settings. Furthermore, the system automatically provides feedback in response to theme requests from general creators, helping the creator improve their theme. For example, it makes suggestions regarding the theme and genre of the theme. This makes it easier for creators to improve their theme by having the generation AI provide feedback.

[0083] The system solicits picture book themes and trains an AI, which then uses the generated AI to generate multiple story ideas based on the solicited themes, allowing the user to choose from them. For example, the system constructs a system in which the generated AI generates multiple story ideas based on the solicited themes. For example, it generates story ideas with different endings or developments. The system also generates multiple story ideas based on the solicited themes, allowing the user to choose from them. For example, it provides story ideas according to genres such as adventure, fantasy, and education. Furthermore, the system develops a system in which the generated AI generates multiple story ideas based on the solicited themes, allowing the user to choose from them. For example, it provides an interface that allows the user to select their favorite story. This allows the user to select their favorite story by providing multiple story ideas.

[0084] The system uses an emotion estimation function to analyze users' emotional reactions to the solicited topics and identify popular topics when soliciting picture book topics and developing AI. For example, the system uses the emotion estimation function to build a system that analyzes users' emotional reactions to the solicited topics. For example, it identifies popular topics based on users' emotion scores. The system also evaluates the popularity of the solicited topics based on users' emotional response data and identifies popular topics based on the results. For example, it prioritizes the adoption of topics with a high number of positive emotional responses. Furthermore, the system collects emotion estimation data in real time and develops a system that analyzes users' emotional reactions to the solicited topics. For example, it adjusts the evaluation of the topics according to changes in the user's emotions. This makes it easier to identify popular topics by analyzing users' emotional responses.

[0085] The system solicits picture book themes and trains the AI, and then the generation AI adds new characters and settings based on the solicited themes to create an original picture book series. For example, the system builds a system in which the generation AI adds new characters and settings based on the solicited themes. For example, new allies or enemies are added to existing characters. The system also creates an original picture book series in which the generation AI adds new characters and settings based on the solicited themes. For example, it sets a setting or background for a new adventure. The system also develops a system in which the generation AI adds new characters and settings based on the solicited themes to create an original picture book series. For example, it generates a new story based on a theme selected by the user. This allows an original picture book series to be created by adding new characters and settings.

[0086] The system uses an emotion estimation function to monitor users' emotional reactions to the solicited topics in real time when soliciting picture book topics and developing AI, thereby optimizing the topic selection process. For example, the system uses the emotion estimation function to build a system that monitors users' emotional reactions to the solicited topics in real time. For example, it optimizes the topic selection process based on the user's emotion score. The system also optimizes the selection process for the solicited topics based on the user's emotional response data, and selects the most suitable topics based on the results. For example, it prioritizes the adoption of topics with a high number of positive emotional responses. Furthermore, the system collects emotion estimation data in real time and develops a system that monitors users' emotional reactions to the solicited topics. For example, it adjusts the topic selection process according to changes in the user's emotions. This makes it possible to optimize the topic selection process by monitoring users' emotional responses in real time.

[0087] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0088] The childcare support system can further include a voice recognition unit. The voice recognition unit can recognize voice instructions from parents and children and operate the system based on them. For example, if a parent says, "Make an adventure story," the system can automatically generate a story in the adventure genre. Or, if a child says, "Name this character Tom," the system can change the character's name to Tom. Furthermore, the voice recognition unit can analyze the voices of parents and children and estimate their emotions. For example, if a parent is talking happily, the system can generate an enjoyable story. Thus, using voice recognition enables more intuitive and interactive operation.

[0089] The childcare support system can further include a translation unit. The translation unit can translate the content of the created picture book into multiple languages. For example, if a parent creates a picture book in English, the translation unit can translate the picture book into Japanese, French, or other languages. The translation unit can also automatically translate the content of the picture book based on the language selected by the parent or child. For example, if a parent says, "Translate this picture book into Spanish," the system can automatically translate it into Spanish. Furthermore, the translation unit can translate not only the content of the picture book, but also the character names and lines. This allows families speaking different languages ​​to enjoy the same picture book.

[0090] The childcare support system may further include a music generation unit. The music generation unit can automatically generate music and sound effects that match the generated picture book. For example, exciting music can be added to an adventure story, and moving music can be added to an emotional story. The music generation unit can also customize the music of the picture book based on the music genre selected by the parent or child. For example, if a parent says, "Add classical music," the system can add classical music to the picture book. Furthermore, the music generation unit can add sound effects that match the character's movements and the progress of the story. This makes it possible to provide a picture book that feels more realistic by using music and sound effects.

[0091] The childcare support system can further use the emotion estimation function to adjust the difficulty of the story based on the parent's emotional state. For example, if the parent is tired, the system can generate an easy and relaxing story. On the other hand, if the parent is excited, the system can generate a challenging and exciting story. Furthermore, the emotion estimation function can also be used to adjust the length of the story based on the parent's emotional state. For example, if the parent is busy, the system can generate a short story. This enables more personalized childcare support by providing stories that match the parent's emotional state.

[0092] The childcare support system can also be equipped with a function to customize character voices. For example, a parent or child can select a character's voice and have the story read aloud in that voice. The system can also convert the character's voice into that of the parent or child. For example, if a parent says, "Make this character's voice my voice," the system can record the parent's voice and set the character to speak in that voice. Furthermore, the character's voice can be changed to match the character's emotions. For example, the character can speak in a sad voice in a sad scene and in a happy voice in a happy scene. In this way, customizing the character's voice makes it possible to provide picture books that are more unique and emotionally rich.

[0093] The childcare support system can further use the emotion estimation function to adjust the progress of the story based on the child's emotional state. For example, if the child is excited, the system can add more action scenes. If the child is tired, the system can add relaxing scenes. Furthermore, the emotion estimation function can also be used to adjust the behavior of characters based on the child's emotional state. For example, if the child is sad, a scene in which a character comforts the child can be added. This allows the system to provide a story that matches the child's emotional state, thereby providing a more emotional picture book.

[0094] The childcare support system can further include a dialogue unit to promote communication between parents and children. The dialogue unit can provide questions and topics for parents and children to enjoy while reading a picture book together. For example, questions such as "What do you think about this character?" and "What do you think will happen next?" are displayed as the story progresses. The dialogue unit can also provide quizzes and puzzles for parents and children to think about together. For example, it can present a problem that a character must solve in the story, allowing parents and children to think about a solution together. Furthermore, the dialogue unit can provide ideas for parents and children to create a picture book together. This can promote communication between parents and children and deepen the bond between them.

[0095] The childcare support system can further use the emotion estimation function to add educational elements based on the child's emotional state. For example, if the child is excited, the system can add active learning activities. If the child is relaxed, the system can add quiet learning activities. Furthermore, the emotion estimation function can also be used to adjust the learning progress based on the child's emotional state. For example, if the child is concentrating, the system can add more difficult questions. This can support more effective learning by providing educational elements that match the child's emotional state.

[0096] The childcare support system may further include a feedback unit that collects parental feedback. The feedback unit provides an interface through which parents can input their impressions of the system and suggestions for improvement. For example, if a parent inputs feedback such as "This story is too difficult for my child," the system can adjust the difficulty of the story based on that feedback. The feedback unit also provides a function through which parents can input requests and suggestions for the system. For example, if a parent inputs a request such as "I want more diverse characters to be added," the system can add new characters based on that request. Furthermore, the feedback unit can analyze parental feedback and use it to improve the system. In this way, a childcare support system that is easier to use can be provided by reflecting parental feedback.

[0097] The childcare support system can further use the emotion estimation function to adjust the ending of the story based on the emotional states of the parent and child. For example, if the parent and child are having fun, the system can generate a happy ending. Alternatively, if the parent and child are moved, the system can generate a touching ending. Furthermore, the emotion estimation function can also be used to adjust the length and content of the ending based on the emotional states of the parent and child. For example, if the parent and child are tired, the system can generate a short ending. This allows for a more satisfying picture book by providing an ending that matches the emotional states of the parent and child.

[0098] The processing flow of the second embodiment will be briefly explained below.

[0099] Step 1: The picture acquisition unit acquires a picture drawn on the tablet. For example, a picture drawn by a child using the tablet's touch screen is acquired as digital data. It can also scan pictures drawn with a digital pen or hand-drawn pictures and convert them into digital data. Step 2: The character generation unit generates a character from the picture acquired by the picture acquisition unit. For example, the generation AI can recognize a child's drawing of an animal as a character and generate a story about the animal's adventures. It can also set the character's name and personality, and animate the character's movements. Step 3: The story generation unit generates a story based on the characters generated by the character generation unit. For example, the generation AI generates a story based on instructions such as the story genre selected by the parent, the child's age, character name, and purpose. The length and components of the story can also be set, and educational and entertainment elements can be incorporated. Step 4: In the selection section, parents select the story genre, their child's age, character names, and goals. For example, parents can select genres such as adventure, fantasy, and education for the AI ​​generator. They can also select a story appropriate for their child's age and freely set character names and goals.

[0100] 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.

[0101] 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.

[0102] 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.

[0103] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0104] 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.

[0105] 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.

[0106] 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.

[0107] 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.

[0108] 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).

[0109] 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.

[0110] 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.

[0111] 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.

[0112] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0113] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0114] 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.

[0115] 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.

[0116] 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 AI 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.

[0117] 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.

[0118] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0119] 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.

[0120] 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.

[0121] 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.

[0122] 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.

[0123] 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).

[0124] 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.

[0125] 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.

[0126] 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.

[0127] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0128] In the headset type terminal 314, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0129] 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.

[0130] 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.

[0131] 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 AI 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.

[0132] 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.

[0133] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0134] 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.

[0135] 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.

[0136] 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.

[0137] 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.

[0138] 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).

[0139] 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.

[0140] 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.

[0141] 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.

[0142] 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.

[0143] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0144] In the robot 414, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The robot 414 also has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0145] 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.

[0146] 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.

[0147] 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 AI 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.

[0148] 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.

[0149] 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.

[0150] 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.

[0151] 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.

[0152] 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).

[0153] 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.

[0154] 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."

[0155] 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.

[0156] 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.

[0157] 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.

[0158] 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.

[0159] 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.

[0160] 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.

[0161] 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.

[0162] 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.

[0163] 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.

[0164] 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.

[0165] 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.

[0166] 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]

[0167] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. a picture acquisition unit that acquires a picture drawn on the tablet; a character generation unit that generates a character from the picture acquired by the picture acquisition unit; a story generation unit that generates a story based on the character generated by the character generation unit; A selection section in which the parent selects the genre of the story or the child's age, character name, and purpose. A system characterized by:

2. The story generation unit Analyzing the style or color usage of the picture and generating a story or background that reflects that characteristic 2. The system of claim 1.

3. The story generation unit Animate the movement of the drawing and add interactive elements to move the character.

2. The system of claim 1.

4. The story generation unit Based on the emotion estimated from the picture, a story that matches the emotion is generated.

2. The system of claim 1.

5. The character generation unit The picture is converted into a 3D model and displayed three-dimensionally in the picture book.

2. The system of claim 1.

Images