System

Abstract

An object of the system according to the embodiment is to provide freshness even when a picture book is repeatedly read by changing the ending of the picture book each time.SOLUTION: A system includes an option providing unit, a story branching unit, and an ending generation unit. The option providing unit provides options. The story branching unit branches the story based on the options provided by the option providing unit. The ending generator generates an ending based on the story branched by the story branching unit.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] With conventional technology, picture books have fixed endings, which means that the story loses its freshness when read repeatedly.

[0005] The system according to the embodiment aims to provide a fresh feeling even when reading a picture book repeatedly by changing the ending each time. [Means for solving the problem]

[0006] A system according to an embodiment includes a choice providing unit, a story branching unit, and an ending generation unit. The choice providing unit provides choices. The story branching unit branches the story based on the choices provided by the choice providing unit. The ending generation unit generates an ending based on the story branched by the story branching unit. [Effects of the Invention]

[0007] The system according to the embodiment changes the ending of the picture book each time, thereby providing a sense of freshness even when the book is read repeatedly. [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 nonvolatile storage devices that store various programs, various parameters, etc. Examples of nonvolatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

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

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

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

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

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

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

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

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

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

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

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

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

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

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

[0028] (Example 1) The multi-ending picture book system according to an embodiment of the present invention is a picture book system in which the ending changes every time. This picture book system is designed so that parents and children can enjoy a different ending every night. This allows parents and children to enjoy a different ending every night.

[0029] A multiple-ending picture book system according to an embodiment includes a choice providing unit, a story branching unit, and an ending generation unit. The choice providing unit provides choices. For example, the choice providing unit displays choices in text format. The choice providing unit can also display choices in image format. The choice providing unit can also provide choices in audio format. The story branching unit branches the story based on the choices provided by the choice providing unit. For example, the story branching unit generates different story developments based on the choices. The story branching unit can also generate different scenarios based on the choices. The story branching unit can also generate different story genres based on the choices. The ending generation unit generates an ending based on the story branched by the story branching unit. For example, the ending generation unit generates a happy ending. The ending generation unit can also generate a bad ending. The ending generation unit can also generate multiple endings. This allows the multiple-ending picture book system according to an embodiment to realize a multiple-ending picture book with a different ending each time. For example, a parent and child can enjoy a different ending every night.

[0030] The ending generation unit can use the generation AI to generate new endings in real time based on the reader's choices. For example, the ending generation unit uses the generation AI to generate new endings in real time based on the choices selected by the reader. For example, if the reader chooses "take the left path," the generation AI creates a new storyline based on that choice and provides an unpredictable ending. The ending generation unit can also use the generation AI to generate different endings based on the choices selected by the reader. For example, if the generation AI chooses "take the right path," it creates a new storyline based on that choice and provides a different ending. The ending generation unit can also use the generation AI to generate multiple endings based on the choices selected by the reader. For example, the generation AI generates different endings based on both the choices of "take the left path" and "take the right path." This allows new endings to be generated in real time based on the reader's choices.

[0031] The ending generation unit can implement an algorithm that considers the reader's past selection history and suggests the freshest ending. For example, the ending generation unit records the reader's past selection history and develops an algorithm that suggests a new ending based on that. For example, a reader who previously chose the "left path" can be offered a new ending by choosing the "right path" this time. The ending generation unit can also implement an algorithm that considers the reader's past selection history and suggests the freshest ending. For example, it can prioritize suggesting endings that have not been chosen before. The ending generation unit can also propose endings that include new elements based on the reader's past selection history. For example, it can propose endings that include characters or scenarios that have not been chosen before. In this way, it is possible to propose fresh endings by considering the reader's past selection history.

[0032] A QR code can be placed on each page of a picture book, and additional choices or endings can be downloaded by scanning the QR code with a smartphone. A system can be constructed in which a QR code can be placed on each page of a picture book, and additional choices or endings can be downloaded by scanning it with a smartphone, for example. For example, scanning a QR code could display a new story development. It is also possible to place a QR code on each page of a picture book, and download different choices or endings by scanning it with a smartphone. For example, scanning a QR code could display a different scenario. It is also possible to place a QR code on each page of a picture book, and download multiple choices or endings by scanning it with a smartphone. For example, scanning a QR code could display multiple endings. This allows additional choices or endings to be downloaded using QR codes.

[0033] Multi-ending picture books can be serialized in different genres, which can include adventure, fantasy, and education. Multi-ending picture books can be serialized in different genres. For example, in the adventure genre, the story unfolds as the protagonist searches for treasure. In the fantasy genre, the story depicts magical or otherworldly adventures. In the education genre, the story unfolds with educational elements. This allows for the creation of a multi-ending picture book series in different genres.

[0034] A discussion point can be set for each option, allowing time for parents and children to discuss the issue. For example, a discussion point can be set for each option, allowing time for parents and children to discuss the issue. For example, in a scene where the protagonist faces a difficulty, the parent and child can discuss which option is best. A discussion point can also be set for each option, allowing time for parents and children to discuss different options. For example, in a scene where the protagonist goes on an adventure, the parent and child can discuss which path to choose. A discussion point can also be set for each option, allowing time for parents and children to discuss multiple options. For example, in a scene where the protagonist reunites with his friends, the parent and child can discuss which option is best. This can encourage dialogue between parents and children and allow time for discussion.

[0035] A function can be added that records the selection history of parents and children and suggests new options based on past choices. A function can be added that records the selection history of parents and children and suggests new options based on past choices, for example, proposing a new story development based on choices made in the past. A function can also be added that records the selection history of parents and children and suggests different options based on past choices, for example, proposing a different scenario based on choices made in the past. A function can also be added that records the selection history of parents and children and suggests multiple options based on past choices, for example, proposing multiple endings based on choices made in the past. This makes it possible to suggest new options based on the selection history of parents and children.

[0036] To encourage collaboration between parents and children, a page can be added that suggests crafts and activities related to the picture book. For example, a page can be added that suggests crafts and activities related to the picture book to encourage collaboration between parents and children. For example, making crafts featuring characters from the story. Also, to encourage collaboration between parents and children, a page can be added that suggests different crafts and activities related to the picture book. For example, an activity can be suggested that recreates a scene from the story. Also, to encourage collaboration between parents and children, a page can be added that suggests multiple crafts and activities related to the picture book. For example, a game or puzzle can be suggested that relates to the story. This encourages collaboration between parents and children and allows them to enjoy crafts and activities.

[0037] To support reading aloud between parents and children, audio guide and narration functions can be installed. To support reading aloud between parents and children, for example, audio guide and narration functions can be installed. For example, an audio guide that reads a story aloud can be provided. To support reading aloud between parents and children, audio guide and narration functions can be installed. For example, a narration function that reads a story in a character's voice can be provided. To support reading aloud between parents and children, audio guide and narration functions can be installed. For example, an audio guide that includes background music and sound effects can be provided. In this way, audio guide and narration functions can be installed to support reading aloud between parents and children.

[0038] It is possible to provide educational commentary or supplementary information for each option, thereby increasing the depth of learning. For example, in a scene where the protagonist performs a scientific experiment, a page can be added that explains the principles and background of the experiment. It is also possible to provide educational commentary or supplementary information for each option, for example, a page can be added that explains historical events. It is also possible to provide educational commentary or supplementary information for each option, for example, a page can be added that considers ethical issues. In this way, it is possible to provide educational commentary or supplementary information for each option, thereby increasing the depth of learning.

[0039] A different learning theme can be set for each option to pique children's interest. A different learning theme can be set for each option to pique children's interest. For example, in a science theme, learning can be deepened through experiments and discoveries. A different learning theme can also be set for each option to pique children's interest. For example, in a history theme, learning about past events and people. A different learning theme can also be set for each option to pique children's interest. For example, in an ethics theme, thinking about moral issues. In this way, a different learning theme can be set for each option to pique children's interest.

[0040] Educational mini-games and quizzes can be incorporated into picture books to deepen learning as children make choices. Educational mini-games and quizzes can be incorporated into picture books to deepen learning as children make choices, for example. For example, a science quiz could be given in the middle of the story, and if the answer is correct, the next option would be displayed. Educational mini-games and quizzes can also be incorporated into picture books to deepen different learning as children make choices. For example, a history quiz could be given, and if the answer is correct, the next option would be displayed. Educational mini-games and quizzes can also be incorporated into picture books to deepen multiple learning as children make choices. For example, an ethics quiz could be given, and if the answer is correct, the next option would be displayed. This allows children to deepen learning through educational mini-games and quizzes.

[0041] Educational multi-ending picture books are developed for different age groups, and the age groups can include toddlers and elementary school students. Educational multi-ending picture books are developed for different age groups. For example, simple options and basic learning are provided for toddlers, and more complex options and in-depth learning are provided for elementary school students. Educational multi-ending picture books are also developed for different age groups, and the age groups can include toddlers and elementary school students. For example, stories with many pictures and illustrations are provided for toddlers, and stories with many texts are provided for elementary school students. Educational multi-ending picture books are also developed for different age groups, and the age groups can include toddlers and elementary school students. For example, easy quizzes and games are provided for toddlers, and more difficult quizzes and games are provided for elementary school students. In this way, educational multi-ending picture books can be developed for different age groups.

[0042] It is possible to add a function that records the reader's selection history and prioritizes suggesting unread endings. It is possible to add a function that records the reader's selection history and prioritizes suggesting unread endings, for example. For example, suggesting new endings based on options chosen in the past. It is also possible to add a function that records the reader's selection history and prioritizes suggesting unread endings, for example. Suggesting endings that have not been chosen before. It is also possible to add a function that records the reader's selection history and prioritizes suggesting unread endings, for example, setting an unread flag and suggesting unread endings. This makes it possible to prioritize suggesting unread endings based on the reader's selection history.

[0043] A sequel or spin-off story can be provided for each ending, increasing the enjoyment of repeated play. For example, a sequel or spin-off story can be provided for each ending. For example, as a sequel to the ending in which the protagonist finds treasure, a new adventure can be provided to protect the treasure. A sequel or spin-off story can also be provided for each ending. For example, a spin-off story focusing on a secondary character can be provided. A sequel or spin-off story can also be provided for each ending. For example, a story told from a different perspective can be provided. This allows a sequel or spin-off story to be provided for each ending, increasing the enjoyment of repeated play.

[0044] The contents of a picture book can be updated regularly, and new choices and endings can be added. A system can be built to update the contents of a picture book regularly, for example, by adding new choices and endings. For example, a new storyline can be added every month. The contents of a picture book can also be updated regularly, and new choices and endings can be added. For example, a new ending can be added every week. The contents of a picture book can also be updated regularly, and new choices and endings can be added. For example, new characters and scenarios can be added every year. This allows the contents of a picture book to be updated regularly, and new choices and endings can be added.

[0045] A customization function can be provided that allows readers to create their own choices and endings. A system is constructed that offers a customization function that allows readers to create their own choices and endings. For example, a reader creates a storyline that reflects their own ideas. A customization function can also be provided that allows readers to create their own choices and endings. For example, a reader creates their own characters and scenarios. A customization function can also be provided that allows readers to create their own choices and endings. For example, a reader creates their own ending and shares it with other readers. This makes it possible to offer a customization function that allows readers to create their own choices and endings.

[0046] A discussion point can be set for each option, allowing time for parents and children to discuss the issue. For example, a discussion point can be set for each option, allowing time for parents and children to discuss the issue. For example, in a scene where the protagonist faces a difficulty, the parent and child can discuss which option is best. A discussion point can also be set for each option, allowing time for parents and children to discuss different options. For example, in a scene where the protagonist goes on an adventure, the parent and child can discuss which path to choose. A discussion point can also be set for each option, allowing time for parents and children to discuss multiple options. For example, in a scene where the protagonist reunites with his friends, the parent and child can discuss which option is best. This can encourage dialogue between parents and children and allow time for discussion.

[0047] A function can be added that records the selection history of parents and children and suggests new options based on past choices. A function can be added that records the selection history of parents and children and suggests new options based on past choices, for example, proposing a new story development based on choices made in the past. A function can also be added that records the selection history of parents and children and suggests different options based on past choices, for example, proposing a different scenario based on choices made in the past. A function can also be added that records the selection history of parents and children and suggests multiple options based on past choices, for example, proposing multiple endings based on choices made in the past. This makes it possible to suggest new options based on the selection history of parents and children.

[0048] To encourage collaboration between parents and children, a page can be added that suggests crafts and activities related to the picture book. For example, a page can be added that suggests crafts and activities related to the picture book to encourage collaboration between parents and children. For example, making crafts featuring characters from the story. Also, to encourage collaboration between parents and children, a page can be added that suggests different crafts and activities related to the picture book. For example, an activity can be suggested that recreates a scene from the story. Also, to encourage collaboration between parents and children, a page can be added that suggests multiple crafts and activities related to the picture book. For example, a game or puzzle can be suggested that relates to the story. This encourages collaboration between parents and children and allows them to enjoy crafts and activities.

[0049] To support reading aloud between parents and children, audio guide and narration functions can be installed. To support reading aloud between parents and children, for example, audio guide and narration functions can be installed. For example, an audio guide that reads a story aloud can be provided. To support reading aloud between parents and children, audio guide and narration functions can be installed. For example, a narration function that reads a story in a character's voice can be provided. To support reading aloud between parents and children, audio guide and narration functions can be installed. For example, an audio guide that includes background music and sound effects can be provided. In this way, audio guide and narration functions can be installed to support reading aloud between parents and children.

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

[0051] The multi-ending picture book system may further include a character customization section. The character customization section provides a function that allows readers to customize the appearance and personality of the picture book characters. For example, readers can change the character's clothing and hairstyle. The character customization section may also set the character's personality and special skills. For example, readers can select whether the character is brave or knowledgeable. The character customization section may also change the character's name. This allows readers to create their own original characters and become immersed in the story.

[0052] The multi-ending picture book system can further include an environmental sensor unit. The environmental sensor unit can acquire information about the surrounding environment and reflect it in the development of the story. For example, it can change the story scene to day or night depending on the brightness of the room. The environmental sensor unit can also sense temperature and humidity and change the story settings. For example, it can provide a snowy scene on a cold day. The environmental sensor unit can also sense sound and movement and affect the development of the story. This allows the reader to enjoy a more realistic experience by being presented with a story that is tailored to the environment around them.

[0053] The multi-ending picture book system can further include a health management unit that monitors the reader's health condition and provides an appropriate story. The health management unit measures the reader's heart rate and body temperature and provides a story that suits the reader's health condition. For example, if the reader is tired, it provides a relaxing story. The health management unit can also monitor the reader's sleep condition and provide an appropriate story. For example, it can provide a story that helps the reader fall asleep easily. The health management unit can also measure the reader's amount of exercise and provide an active story. This makes it possible to provide stories that suit the reader's health condition and support health management.

[0054] The multi-ending picture book system can further include an interactive quiz section to pique the reader's interest. The quiz section asks questions during the story, and the story progresses as the reader answers them. For example, the protagonist answers the quiz to get hints on how to find the treasure. The quiz section can also provide educational quizzes to deepen the reader's knowledge. For example, quizzes on science or history can be asked. The quiz section can also provide fun quizzes to pique the reader's interest. This piques the reader's interest, allowing them to learn while enjoying the story.

[0055] The multi-ending picture book system can further include a story creation unit to bring out the reader's creativity. The story creation unit provides a function that allows the reader to create their own story. For example, the reader can select characters and a scenario and create their own story. The story creation unit can also allow the reader to share the story they created with other readers. For example, the story can be published through an online platform. The story creation unit can also receive feedback on the story the reader created. This brings out the reader's creativity and provides the reader with the fun of creating their own story.

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

[0057] Step 1: The option providing unit provides options. For example, the option providing unit can display options in text format, image format, or audio format. Step 2: The story branching unit branches the story based on the choices provided by the choice providing unit. For example, the story branching unit can generate different story developments, scenarios, and story genres based on the choices. Step 3: The ending generation unit generates an ending based on the story branched by the story branching unit. For example, the ending generation unit can generate a happy ending, a bad ending, or multiple endings.

[0058] (Example 2) The multi-ending picture book system according to an embodiment of the present invention is a picture book system in which the ending changes every time. This picture book system is designed so that parents and children can enjoy a different ending every night. This allows parents and children to enjoy a different ending every night.

[0059] A multiple-ending picture book system according to an embodiment includes a choice providing unit, a story branching unit, and an ending generation unit. The choice providing unit provides choices. For example, the choice providing unit displays choices in text format. The choice providing unit can also display choices in image format. The choice providing unit can also provide choices in audio format. The story branching unit branches the story based on the choices provided by the choice providing unit. For example, the story branching unit generates different story developments based on the choices. The story branching unit can also generate different scenarios based on the choices. The story branching unit can also generate different story genres based on the choices. The ending generation unit generates an ending based on the story branched by the story branching unit. For example, the ending generation unit generates a happy ending. The ending generation unit can also generate a bad ending. The ending generation unit can also generate multiple endings. This allows the multiple-ending picture book system according to an embodiment to realize a multiple-ending picture book with a different ending each time. For example, a parent and child can enjoy a different ending every night.

[0060] The ending generation unit can use the generation AI to generate new endings in real time based on the reader's choices. For example, the ending generation unit uses the generation AI to generate new endings in real time based on the choices selected by the reader. For example, if the reader chooses "take the left path," the generation AI creates a new storyline based on that choice and provides an unpredictable ending. The ending generation unit can also use the generation AI to generate different endings based on the choices selected by the reader. For example, if the generation AI chooses "take the right path," it creates a new storyline based on that choice and provides a different ending. The ending generation unit can also use the generation AI to generate multiple endings based on the choices selected by the reader. For example, the generation AI generates different endings based on both the choices of "take the left path" and "take the right path." This allows new endings to be generated in real time based on the reader's choices.

[0061] The ending generation unit can implement an algorithm that considers the reader's past selection history and suggests the freshest ending. For example, the ending generation unit records the reader's past selection history and develops an algorithm that suggests a new ending based on that. For example, a reader who previously chose the "left path" can be offered a new ending by choosing the "right path" this time. The ending generation unit can also implement an algorithm that considers the reader's past selection history and suggests the freshest ending. For example, it can prioritize suggesting endings that have not been chosen before. The ending generation unit can also propose endings that include new elements based on the reader's past selection history. For example, it can propose endings that include characters or scenarios that have not been chosen before. In this way, it is possible to propose fresh endings by considering the reader's past selection history.

[0062] The ending generation unit can use the emotion estimation function to generate an ending according to the emotional state of the reader. The ending generation unit, for example, uses the emotion estimation function to generate an ending according to the emotional state of the reader. For example, if the reader is happy, a happy ending is provided to increase emotional satisfaction. The ending generation unit can also use the emotion estimation function to generate different endings according to the emotional state of the reader. For example, if the reader is sad, a touching ending is provided. The ending generation unit can also use the emotion estimation function to generate multiple endings according to the emotional state of the reader. For example, if the reader is surprised, an unexpected ending is provided. In this way, an ending can be generated according to the emotional state of the reader.

[0063] A QR code can be placed on each page of a picture book, and additional choices or endings can be downloaded by scanning the QR code with a smartphone. A system can be constructed in which a QR code can be placed on each page of a picture book, and additional choices or endings can be downloaded by scanning it with a smartphone, for example. For example, scanning a QR code could display a new story development. It is also possible to place a QR code on each page of a picture book, and download different choices or endings by scanning it with a smartphone. For example, scanning a QR code could display a different scenario. It is also possible to place a QR code on each page of a picture book, and download multiple choices or endings by scanning it with a smartphone. For example, scanning a QR code could display multiple endings. This allows additional choices or endings to be downloaded using QR codes.

[0064] Multi-ending picture books can be serialized in different genres, which can include adventure, fantasy, and education. Multi-ending picture books can be serialized in different genres. For example, in the adventure genre, the story unfolds as the protagonist searches for treasure. In the fantasy genre, the story depicts magical or otherworldly adventures. In the education genre, the story unfolds with educational elements. This allows for the creation of a multi-ending picture book series in different genres.

[0065] The emotion estimation function can collect emotional responses to options selected by the reader and reflect these emotional responses in the next option proposal. The emotion estimation function can, for example, build a system that collects emotional responses to options selected by the reader and reflects these in the next option proposal. For example, an option that made the reader happy may be proposed again next time. The emotion estimation function can also collect emotional responses to options selected by the reader and reflect these in different option proposals. For example, an option that made the reader sad may not be proposed next time. The emotion estimation function can also collect emotional responses to options selected by the reader and reflect these in multiple option proposals. For example, an option that surprised the reader may be proposed again next time. In this way, the reader's emotional responses can be reflected in the next option proposal.

[0066] A discussion point can be set for each option, allowing time for parents and children to discuss the issue. For example, a discussion point can be set for each option, allowing time for parents and children to discuss the issue. For example, in a scene where the protagonist faces a difficulty, the parent and child can discuss which option is best. A discussion point can also be set for each option, allowing time for parents and children to discuss different options. For example, in a scene where the protagonist goes on an adventure, the parent and child can discuss which path to choose. A discussion point can also be set for each option, allowing time for parents and children to discuss multiple options. For example, in a scene where the protagonist reunites with his friends, the parent and child can discuss which option is best. This can encourage dialogue between parents and children and allow time for discussion.

[0067] A function can be added that records the selection history of parents and children and suggests new options based on past choices. A function can be added that records the selection history of parents and children and suggests new options based on past choices, for example, proposing a new story development based on choices made in the past. A function can also be added that records the selection history of parents and children and suggests different options based on past choices, for example, proposing a different scenario based on choices made in the past. A function can also be added that records the selection history of parents and children and suggests multiple options based on past choices, for example, proposing multiple endings based on choices made in the past. This makes it possible to suggest new options based on the selection history of parents and children.

[0068] The emotion estimation function can analyze the emotional state of parents and children and suggest the most enjoyable option. The emotion estimation function can, for example, build a system that analyzes the emotional state of parents and children and suggests the most enjoyable option. For example, if the parent and child are happy, an option with a happy ending is suggested. The emotion estimation function can also analyze the emotional state of parents and children and suggest different options. For example, if the parent and child are sad, an emotional option is suggested. The emotion estimation function can also analyze the emotional state of parents and children and suggest multiple options. For example, if the parent and child are surprised, an unexpected option is suggested. In this way, the most enjoyable option can be suggested based on the emotional state of parents and children.

[0069] To encourage collaboration between parents and children, a page can be added that suggests crafts and activities related to the picture book. For example, a page can be added that suggests crafts and activities related to the picture book to encourage collaboration between parents and children. For example, making crafts featuring characters from the story. Also, to encourage collaboration between parents and children, a page can be added that suggests different crafts and activities related to the picture book. For example, an activity can be suggested that recreates a scene from the story. Also, to encourage collaboration between parents and children, a page can be added that suggests multiple crafts and activities related to the picture book. For example, a game or puzzle can be suggested that relates to the story. This encourages collaboration between parents and children and allows them to enjoy crafts and activities.

[0070] To support reading aloud between parents and children, audio guide and narration functions can be installed. To support reading aloud between parents and children, for example, audio guide and narration functions can be installed. For example, an audio guide that reads a story aloud can be provided. To support reading aloud between parents and children, audio guide and narration functions can be installed. For example, a narration function that reads a story in a character's voice can be provided. To support reading aloud between parents and children, audio guide and narration functions can be installed. For example, an audio guide that includes background music and sound effects can be provided. In this way, audio guide and narration functions can be installed to support reading aloud between parents and children.

[0071] The emotion estimation function can monitor the emotional reactions of parents and children in real time and suggest the optimal option. The emotion estimation function can, for example, build a system that monitors the emotional reactions of parents and children in real time and suggests the optimal option. For example, if the parent and child are happy, it will suggest an option with a happy ending. The emotion estimation function can also monitor the emotional reactions of parents and children in real time and suggest different options. For example, if the parent and child are sad, it will suggest a touching option. The emotion estimation function can also monitor the emotional reactions of parents and children in real time and suggest multiple options. For example, if the parent and child are surprised, it will suggest an unexpected option. In this way, it is possible to monitor the emotional reactions of parents and children in real time and suggest the optimal option.

[0072] It is possible to provide educational commentary or supplementary information for each option, thereby increasing the depth of learning. For example, in a scene where the protagonist performs a scientific experiment, a page can be added that explains the principles and background of the experiment. It is also possible to provide educational commentary or supplementary information for each option, for example, a page can be added that explains historical events. It is also possible to provide educational commentary or supplementary information for each option, for example, a page can be added that considers ethical issues. In this way, it is possible to provide educational commentary or supplementary information for each option, thereby increasing the depth of learning.

[0073] A different learning theme can be set for each option to pique children's interest. A different learning theme can be set for each option to pique children's interest. For example, in a science theme, learning can be deepened through experiments and discoveries. A different learning theme can also be set for each option to pique children's interest. For example, in a history theme, learning about past events and people. A different learning theme can also be set for each option to pique children's interest. For example, in an ethics theme, thinking about moral issues. In this way, a different learning theme can be set for each option to pique children's interest.

[0074] The emotion estimation function can suggest educational options according to a child's emotional state, thereby increasing their motivation to learn. The emotion estimation function can, for example, build a system that suggests educational options according to a child's emotional state. For example, if a child is excited, an active learning theme is suggested. The emotion estimation function can also suggest different educational options according to a child's emotional state. For example, if a child is calm, a quiet learning theme is suggested. The emotion estimation function can also suggest multiple educational options according to a child's emotional state. For example, if a child is interested, a learning theme that piques their interest is suggested. This makes it possible to suggest educational options according to a child's emotional state, thereby increasing their motivation to learn.

[0075] Educational mini-games and quizzes can be incorporated into picture books to deepen learning as children make choices. Educational mini-games and quizzes can be incorporated into picture books to deepen learning as children make choices, for example. For example, a science quiz could be given in the middle of the story, and if the answer is correct, the next option would be displayed. Educational mini-games and quizzes can also be incorporated into picture books to deepen different learning as children make choices. For example, a history quiz could be given, and if the answer is correct, the next option would be displayed. Educational mini-games and quizzes can also be incorporated into picture books to deepen multiple learning as children make choices. For example, an ethics quiz could be given, and if the answer is correct, the next option would be displayed. This allows children to deepen learning through educational mini-games and quizzes.

[0076] Educational multi-ending picture books are developed for different age groups, and the age groups can include toddlers and elementary school students. Educational multi-ending picture books are developed for different age groups. For example, simple options and basic learning are provided for toddlers, and more complex options and in-depth learning are provided for elementary school students. Educational multi-ending picture books are also developed for different age groups, and the age groups can include toddlers and elementary school students. For example, stories with many pictures and illustrations are provided for toddlers, and stories with many texts are provided for elementary school students. Educational multi-ending picture books are also developed for different age groups, and the age groups can include toddlers and elementary school students. For example, easy quizzes and games are provided for toddlers, and more difficult quizzes and games are provided for elementary school students. In this way, educational multi-ending picture books can be developed for different age groups.

[0077] The emotion estimation function can analyze a child's learning progress and emotional reactions and suggest optimal educational options. The emotion estimation function, for example, analyzes a child's learning progress and emotional reactions and builds a system that suggests optimal educational options. For example, if a child has positive emotions toward learning, it suggests options with a higher level of difficulty. The emotion estimation function can also analyze a child's learning progress and emotional reactions and suggest different educational options. For example, if a child has negative emotions toward learning, it suggests options with a lower level of difficulty. The emotion estimation function can also analyze a child's learning progress and emotional reactions and suggest multiple educational options. For example, if a child has neutral emotions toward learning, it suggests options with a moderate level of difficulty. In this way, it is possible to analyze a child's learning progress and emotional reactions and suggest optimal educational options.

[0078] It is possible to add a function that records the reader's selection history and prioritizes suggesting unread endings. It is possible to add a function that records the reader's selection history and prioritizes suggesting unread endings, for example. For example, suggesting new endings based on options chosen in the past. It is also possible to add a function that records the reader's selection history and prioritizes suggesting unread endings, for example. Suggesting endings that have not been chosen before. It is also possible to add a function that records the reader's selection history and prioritizes suggesting unread endings, for example, setting an unread flag and suggesting unread endings. This makes it possible to prioritize suggesting unread endings based on the reader's selection history.

[0079] A sequel or spin-off story can be provided for each ending, increasing the enjoyment of repeated play. For example, a sequel or spin-off story can be provided for each ending. For example, as a sequel to the ending in which the protagonist finds treasure, a new adventure can be provided to protect the treasure. A sequel or spin-off story can also be provided for each ending. For example, a spin-off story focusing on a secondary character can be provided. A sequel or spin-off story can also be provided for each ending. For example, a story told from a different perspective can be provided. This allows a sequel or spin-off story to be provided for each ending, increasing the enjoyment of repeated play.

[0080] The emotion estimation function can generate a new ending according to the reader's emotional state, providing a fresh experience. The emotion estimation function can, for example, build a system that generates a new ending according to the reader's emotional state. For example, if the reader is happy, a happy ending is provided. The emotion estimation function can also generate a new ending according to the reader's emotional state. For example, if the reader is sad, a touching ending is provided. The emotion estimation function can also generate a new ending according to the reader's emotional state. For example, if the reader is surprised, an unexpected ending is provided. This allows for the generation of a new ending according to the reader's emotional state, providing a fresh experience every time.

[0081] The contents of a picture book can be updated regularly, and new choices and endings can be added. A system can be built to update the contents of a picture book regularly, for example, by adding new choices and endings. For example, a new storyline can be added every month. The contents of a picture book can also be updated regularly, and new choices and endings can be added. For example, a new ending can be added every week. The contents of a picture book can also be updated regularly, and new choices and endings can be added. For example, new characters and scenarios can be added every year. This allows the contents of a picture book to be updated regularly, and new choices and endings can be added.

[0082] A customization function can be provided that allows readers to create their own choices and endings. A system is constructed that offers a customization function that allows readers to create their own choices and endings. For example, a reader creates a storyline that reflects their own ideas. A customization function can also be provided that allows readers to create their own choices and endings. For example, a reader creates their own characters and scenarios. A customization function can also be provided that allows readers to create their own choices and endings. For example, a reader creates their own ending and shares it with other readers. This makes it possible to offer a customization function that allows readers to create their own choices and endings.

[0083] The emotion estimation function can analyze the reader's emotional response and suggest new options that will be the most enjoyable. The emotion estimation function, for example, builds a system that analyzes the reader's emotional response and suggests new options that will be the most enjoyable. For example, if the reader is happy, it suggests an option with a happy ending. The emotion estimation function can also analyze the reader's emotional response and suggest different new options. For example, if the reader is sad, it suggests an inspiring option. The emotion estimation function can also analyze the reader's emotional response and suggest multiple new options. For example, if the reader is surprised, it suggests an unexpected option. In this way, it is possible to analyze the reader's emotional response and suggest new options that will be the most enjoyable.

[0084] A discussion point can be set for each option, allowing time for parents and children to discuss the issue. For example, a discussion point can be set for each option, allowing time for parents and children to discuss the issue. For example, in a scene where the protagonist faces a difficulty, the parent and child can discuss which option is best. A discussion point can also be set for each option, allowing time for parents and children to discuss different options. For example, in a scene where the protagonist goes on an adventure, the parent and child can discuss which path to choose. A discussion point can also be set for each option, allowing time for parents and children to discuss multiple options. For example, in a scene where the protagonist reunites with his friends, the parent and child can discuss which option is best. This can encourage dialogue between parents and children and allow time for discussion.

[0085] A function can be added that records the selection history of parents and children and suggests new options based on past choices. A function can be added that records the selection history of parents and children and suggests new options based on past choices, for example, proposing a new story development based on choices made in the past. A function can also be added that records the selection history of parents and children and suggests different options based on past choices, for example, proposing a different scenario based on choices made in the past. A function can also be added that records the selection history of parents and children and suggests multiple options based on past choices, for example, proposing multiple endings based on choices made in the past. This makes it possible to suggest new options based on the selection history of parents and children.

[0086] The emotion estimation function can analyze the emotional state of parents and children and suggest the most enjoyable option. The emotion estimation function can, for example, build a system that analyzes the emotional state of parents and children and suggests the most enjoyable option. For example, if the parent and child are happy, an option with a happy ending is suggested. The emotion estimation function can also analyze the emotional state of parents and children and suggest different options. For example, if the parent and child are sad, an emotional option is suggested. The emotion estimation function can also analyze the emotional state of parents and children and suggest multiple options. For example, if the parent and child are surprised, an unexpected option is suggested. In this way, the most enjoyable option can be suggested based on the emotional state of parents and children.

[0087] To encourage collaboration between parents and children, a page can be added that suggests crafts and activities related to the picture book. For example, a page can be added that suggests crafts and activities related to the picture book to encourage collaboration between parents and children. For example, making crafts featuring characters from the story. Also, to encourage collaboration between parents and children, a page can be added that suggests different crafts and activities related to the picture book. For example, an activity can be suggested that recreates a scene from the story. Also, to encourage collaboration between parents and children, a page can be added that suggests multiple crafts and activities related to the picture book. For example, a game or puzzle can be suggested that relates to the story. This encourages collaboration between parents and children and allows them to enjoy crafts and activities.

[0088] To support reading aloud between parents and children, audio guide and narration functions can be installed. To support reading aloud between parents and children, for example, audio guide and narration functions can be installed. For example, an audio guide that reads a story aloud can be provided. To support reading aloud between parents and children, audio guide and narration functions can be installed. For example, a narration function that reads a story in a character's voice can be provided. To support reading aloud between parents and children, audio guide and narration functions can be installed. For example, an audio guide that includes background music and sound effects can be provided. In this way, audio guide and narration functions can be installed to support reading aloud between parents and children.

[0089] The emotion estimation function can monitor the emotional reactions of parents and children in real time and suggest the optimal option. The emotion estimation function can, for example, build a system that monitors the emotional reactions of parents and children in real time and suggests the optimal option. For example, if the parent and child are happy, it will suggest an option with a happy ending. The emotion estimation function can also monitor the emotional reactions of parents and children in real time and suggest different options. For example, if the parent and child are sad, it will suggest a touching option. The emotion estimation function can also monitor the emotional reactions of parents and children in real time and suggest multiple options. For example, if the parent and child are surprised, it will suggest an unexpected option. In this way, it is possible to monitor the emotional reactions of parents and children in real time and suggest the optimal option.

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

[0091] The multi-ending picture book system may further include a character customization section. The character customization section provides a function that allows readers to customize the appearance and personality of the picture book characters. For example, readers can change the character's clothing and hairstyle. The character customization section may also set the character's personality and special skills. For example, readers can select whether the character is brave or knowledgeable. The character customization section may also change the character's name. This allows readers to create their own original characters and become immersed in the story.

[0092] The multi-ending picture book system can further include a voice recognition unit. The voice recognition unit can recognize the reader's voice and select an option based on a voice command. For example, if the reader says, "Take the left path," that option is selected. The voice recognition unit can also analyze the tone and speed of the reader's voice to infer the reader's emotional state. For example, if the reader is excited, an action scene can be provided. The voice recognition unit can also record the reader's voice and play it back later. This allows the reader to select an option by voice and enjoy a more interactive experience.

[0093] The multi-ending picture book system can further include an environmental sensor unit. The environmental sensor unit can acquire information about the surrounding environment and reflect it in the development of the story. For example, it can change the story scene to day or night depending on the brightness of the room. The environmental sensor unit can also sense temperature and humidity and change the story settings. For example, it can provide a snowy scene on a cold day. The environmental sensor unit can also sense sound and movement and affect the development of the story. This allows the reader to enjoy a more realistic experience by being presented with a story that is tailored to the environment around them.

[0094] The multi-ending picture book system can also use an emotion estimation function to provide music and sound effects based on the reader's emotions. For example, if the reader is happy, cheerful music can be played. The emotion estimation function can also be used to play moving music if the reader is sad. The emotion estimation function can also be used to provide surprising sound effects if the reader is surprised. This allows the system to provide music and sound effects that correspond to the reader's emotions, enhancing the realism of the story.

[0095] The multi-ending picture book system can further include a health management unit that monitors the reader's health condition and provides an appropriate story. The health management unit measures the reader's heart rate and body temperature and provides a story that suits the reader's health condition. For example, if the reader is tired, it provides a relaxing story. The health management unit can also monitor the reader's sleep condition and provide an appropriate story. For example, it can provide a story that helps the reader fall asleep easily. The health management unit can also measure the reader's amount of exercise and provide an active story. This makes it possible to provide stories that suit the reader's health condition and support health management.

[0096] The multi-ending picture book system can also use an emotion estimation function to change the character's facial expression based on the reader's emotions. For example, if the reader is happy, the character will smile. Also, using the emotion estimation function, the character can have a sad expression if the reader is sad. Also, using the emotion estimation function, the character can have a surprised expression if the reader is surprised. This allows the character's facial expressions to correspond to the reader's emotions, increasing empathy with the story.

[0097] The multi-ending picture book system can further include an interactive quiz section to pique the reader's interest. The quiz section asks questions during the story, and the story progresses as the reader answers them. For example, the protagonist answers the quiz to get hints on how to find the treasure. The quiz section can also provide educational quizzes to deepen the reader's knowledge. For example, quizzes on science or history can be asked. The quiz section can also provide fun quizzes to pique the reader's interest. This piques the reader's interest, allowing them to learn while enjoying the story.

[0098] The multi-ending picture book system can also use an emotion estimation function to control the avatar's movements based on the reader's emotions. For example, if the reader is happy, the avatar will dance. Also, using the emotion estimation function, the avatar can make a comforting movement if the reader is sad. Also, using the emotion estimation function, the avatar can make a surprised movement if the reader is surprised. This allows the avatar to move in accordance with the reader's emotions, enhancing the realism of the story.

[0099] The multi-ending picture book system can further include a story creation unit to bring out the reader's creativity. The story creation unit provides a function that allows the reader to create their own story. For example, the reader can select characters and a scenario and create their own story. The story creation unit can also allow the reader to share the story they created with other readers. For example, the story can be published through an online platform. The story creation unit can also receive feedback on the story the reader created. This brings out the reader's creativity and provides the reader with the fun of creating their own story.

[0100] The multi-ending picture book system can further use an emotion estimation function to provide interactive mini-games based on the reader's emotions. For example, if the reader is happy, a fun mini-game can be provided. Also, if the reader is sad, the emotion estimation function can be used to provide a relaxing mini-game. Also, if the reader is surprised, the emotion estimation function can be used to provide a mini-game that includes a surprise element. In this way, interactive mini-games can be provided according to the reader's emotions, increasing the enjoyment of the story.

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

[0102] Step 1: The option providing unit provides options. For example, the option providing unit can display options in text format, image format, or audio format. Step 2: The story branching unit branches the story based on the choices provided by the choice providing unit. For example, the story branching unit can generate different story developments, scenarios, and story genres based on the choices. Step 3: The ending generation unit generates an ending based on the story branched by the story branching unit. For example, the ending generation unit can generate a happy ending, a bad ending, or multiple endings.

[0103] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0104] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0105] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

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

[0107] 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0108] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0109] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0110] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0111] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0112] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0113] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0114] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0115] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0116] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0117] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0118] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0119] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0120] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

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

[0122] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0123] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0124] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0125] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0126] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0127] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0128] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0129] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0130] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

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

[0132] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0133] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0134] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0135] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

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

[0137] 7, 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.

[0138] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0139] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0140] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0141] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0142] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0143] The control object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0144] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0145] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0146] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

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

[0148] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0149] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0150] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0151] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0152] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0153] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0154] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[0155] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0156] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0157] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[0158] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[0159] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0160] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[0161] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0162] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[0163] The hardware resource for executing a specific process can be any of the following processors: A CPU is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A dedicated electrical circuit, such as a field-programmable gate array (FPGA), a programmable logic device (PLD), or an application-specific integrated circuit (ASIC), is a processor with a circuit configuration specifically designed to execute a specific process. Each processor has built-in or connected memory, and uses the memory to execute the specific process.

[0164] The hardware resource that executes the specific process may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific process may be a single processor.

[0165] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0166] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[0167] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0168] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0169] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference. [Explanation of symbols]

[0170] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. an option providing unit that provides options; a story branching unit that branches a story based on the options provided by the option providing unit; an ending generation unit that generates an ending based on the story branched by the story branch unit. A system characterized by:

2. The ending generation unit Uses generative AI to generate new endings in real time based on reader choices 2. The system of claim 1.

3. QR codes are placed on each page of the picture book. Scan the QR code with your smartphone to download additional options and endings.

2. The system of claim 1.

4. Set up discussion points for each of the above options, Set aside time for parent-child discussions 2. The system of claim 1.

5. For each option, Provides educational commentary and supplementary information, Increasing the depth of learning 2. The system of claim 1.

6. The emotion estimation function Generate new endings according to the reader's emotional state, Providing a fresh experience 2. The system of claim 1.

7. The emotion estimation function Analyzing the emotional state of parents and children Suggest the most enjoyable option 2. The system of claim 1.

8. The emotion estimation function suggesting educational options according to the child's emotional state; Increase motivation to learn 2. The system of claim 1.

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