system

Abstract

The system according to this embodiment aims to allow parents to easily create and sell picture books tailored to their child's development and preferences. [Solution] The system according to the embodiment comprises a reception unit, a generation unit, an editing unit, and a sales unit. The reception unit receives information entered by the parents. The generation unit generates images and text for the picture book based on the information received by the reception unit. The editing unit edits and verifies the picture book generated by the generation unit. The sales unit sells the completed picture book.

Description

Technical Field

[0001] The technology disclosed herein relates to a system.

Background Art

[0002] Patent Document 1 discloses a persona chatbot control method performed by at least one processor, the method including receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the prior art, there is a problem that it is difficult to easily create picture books suitable for the growth and preferences of children, and it is difficult for parents to find picture books suitable for their children.

[0005] The system according to the embodiment aims to enable parents to easily create and sell picture books suitable for the growth and preferences of their children.

Means for Solving the Problems

[0006] The system according to this embodiment comprises a reception unit, a generation unit, an editing unit, and a sales unit. The reception unit receives information entered by parents. The generation unit generates images and text for the picture book based on the information received by the reception unit. The editing unit edits and verifies the picture book generated by the generation unit. The sales unit sells the completed picture book. [Effects of the Invention]

[0007] The system according to this embodiment allows parents to easily create and sell picture books tailored to their child's development and preferences. [Brief explanation of the drawing]

[0008] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Modes for carrying out the invention]

[0009] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0010] First, let's explain the terminology used in the following explanation.

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

[0012] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

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

[0014] In the following embodiments, the labeled communication I / F (Interface) is an interface including a communication processor, an antenna, and the like. The communication I / F manages communication between a plurality of 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), or Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B". That is, "A and / or B" means that it may be only A, only B, or a combination of A and B. Also, in this specification, when expressing three or more matters connected by "and / or", the same concept as "A and / or B" is applied.

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

[0017] As shown in FIG. 1, the 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, the RAM 30, and the storage 32 are connected to a bus 34. Also, the database 24 and the communication I / F 26 are 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 comprises a computer 36, a receiving device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The receiving device 38, output device 40, and camera 42 are also connected to the bus 52.

[0020] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, and accepts user input. The touch panel 38A accepts user input via touch by detecting contact with an object (e.g., a pen or finger). The microphone 38B accepts user input via voice by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 (see Figure 2) acquires the data indicating the user input.

[0021] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user by outputting the data in a form perceptible to the user (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0024] As shown in Figure 2, in the data processing device 12, a specific processing 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" related to the technology of this 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 processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0025] Storage 32 stores the data generation model 58 and the 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 emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0026] In the smart device 14, specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used in conjunction 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 a control unit 46A according to the specific processing program 60 executed on the RAM 48. The smart device 14 also has a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0027] Furthermore, other devices besides the data processing device 12 may also 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 processing results (such as prediction results) using the data generation model 58 by communicating with the server device having the data generation model 58. The data processing device 12 may also be a server device or a terminal device owned by a user (e.g., a mobile phone, robot, home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example of form 1) The picture book creation system according to an embodiment of the present invention is a system that provides a service that allows parents to easily create picture books for their children. This picture book creation system allows parents to input the theme, characters, and learning objectives of the picture book using an app, and the generating AI generates images and text for the picture book based on the input information. The generated picture book can be edited and reviewed by the parent on the UI, and finally, the completed picture book or its data can be sold. This mechanism makes it easy to create original picture books tailored to a child's growth and preferences. For example, a parent might input information such as "I want my child to learn courage," "The main character is a rabbit," and "An adventure story" using the app. This information is input into the generating AI, which then generates appropriate images and text based on the input theme and characters. For example, based on the theme "An adventure story of a courageous rabbit," the AI ​​generates images of scenes where the rabbit is on an adventure and text conveying the importance of courage. The generated picture book can be edited and reviewed by the parent on the UI. For example, they can review the generated images and text and make corrections as needed. They can also change the order of pages or insert additional images and text. Finally, the completed picture book or its data can be sold. Parents can print and sell the completed picture books, or sell them as digital data. This makes it easy to create and sell original picture books tailored to their child's development and preferences. This system allows parents to easily create original picture books that match their child's development and preferences. Furthermore, it allows them to create picture books that perfectly address their child's concerns, thus supporting their child's growth. For example, if a child is struggling with courage, creating a picture book that conveys the importance of courage can support the child's development. In short, this picture book creation system makes it easy for parents to create and sell picture books for their children.

[0029] The picture book creation system according to this embodiment comprises a reception unit, a generation unit, an editing unit, and a sales unit. The reception unit receives information entered by parents. The information entered by parents includes, but is not limited to, text information, image information, and audio information. For example, parents can use an app to input the theme of the picture book, characters, and content they want their children to learn. The generation unit uses a generation AI to generate images and text for the picture book based on the information received by the reception unit. For example, the generation unit generates appropriate images and text based on the entered theme and characters. For example, the generation AI uses a text generation AI (e.g., LLM) to generate text based on the entered theme. The generation unit can also use an image generation AI to generate images based on the entered characters. For example, based on the theme "The Adventure Story of a Courageous Rabbit," the generation AI generates images of scenes where the rabbit is adventuring and text that conveys the importance of having courage. The editing unit edits and checks the picture book generated by the generation unit. The editorial department can, for example, review the generated images and text and make corrections as needed. The editorial department can also change the page order or insert additional images and text. For example, the editorial department can review the generated images and text, correct typos and adjust images. The sales department sells the completed picture books. The sales department provides functions for printing and selling the completed picture books. The sales department can also provide functions for selling the completed picture books as digital data. For example, the sales department selects a printer and sets print quality standards for printing and selling the completed picture books. The sales department also selects file formats and digital distribution platforms for selling the completed picture books as digital data. This allows the picture book creation system according to this embodiment to easily allow parents to create and sell picture books for their children.

[0030] The reception desk receives information entered by parents. This information may include, but is not limited to, text, images, and audio. For example, parents can use the app to input the theme of a picture book, characters, and learning objectives. Specifically, the information parents input through the app can range from their child's name and favorite character to specific learning goals. For example, if a child likes dinosaurs, they can input information to create a dinosaur-themed picture book. Parents can also specify learning objectives they want their children to learn, such as the importance of friendship or environmental protection. This allows the reception desk to support the creation of customized picture books tailored to the parents' needs. Furthermore, the reception desk centrally manages the entered information and provides an interface for smooth transfer to the generation and editing departments. For example, the entered information is stored on a cloud server and made accessible to the generation department. The reception desk also provides functions for reviewing and correcting entered information, making it easy for parents to correct any errors they may have entered. This allows the reception desk to easily and accurately input information and support the creation of customized picture books for parents.

[0031] The generation unit uses a generation AI to generate images and text for the picture book based on the information received by the reception unit. For example, the generation unit generates appropriate images and text based on the entered theme and characters. Specifically, the generation AI uses a text generation AI (e.g., LLM) to generate text based on the entered theme. For example, if the theme "An adventure story of a brave rabbit" is entered, the generation AI will generate detailed descriptions of the rabbit's adventures and text that conveys the importance of having courage. The generation unit can also use an image generation AI to generate images based on the entered characters. For example, it can generate images of the rabbit's adventures and images that realistically depict the characters' expressions and actions. Based on the information entered by the parents, the generation AI constructs the overall storyline of the picture book and automatically generates the layout and design of each page. This allows the generation unit to quickly and efficiently generate customized picture books that meet the parents' needs. Furthermore, the generation unit also has a function to evaluate the quality of the generated images and text and make corrections as needed. For example, if the generated image is unnatural or the text is inappropriate, the generation AI automatically corrects it and provides the optimal result. This allows the generation unit to produce high-quality picture books and meet parents' expectations.

[0032] The editorial team edits and reviews the picture books generated by the production team. For example, the editorial team can review the generated images and text and make corrections as needed. Specifically, the editorial team meticulously checks each page of the generated picture book, correcting typos and adjusting images. For example, if the generated text contains typos, the editorial team corrects them and replaces them with accurate sentences. Also, if the generated images are unnatural or the colors are inappropriate, the editorial team adjusts the images to create a more natural and appealing picture book. Furthermore, the editorial team can change the order of pages or insert additional images and text. For example, they can change the order of pages to make the story flow more smoothly or insert additional images to highlight important scenes. The editorial team also provides an interface to incorporate parents' opinions and feedback, ensuring that parents are satisfied with the content of the picture book. For example, if parents want to add a specific scene or change a specific sentence, the editorial team can incorporate that. This allows the editorial team to improve the quality of the generated picture book and meet parents' expectations.

[0033] The sales department sells the completed picture books. For example, the sales department provides functions such as printing and selling the completed picture books. The sales department can also provide functions for selling the completed picture books as digital data. Specifically, the sales department selects a printing company and sets standards for print quality. For example, it uses high-quality paper and ink to ensure the durability and beauty of the picture books. Furthermore, the sales department selects file formats and digital distribution platforms for selling the completed picture books as digital data. For example, it selects file formats viewable on various devices, such as PDF or ePub, and sells them through digital distribution platforms. In addition, the sales department conducts marketing and promotional activities to boost sales of the picture books. For example, it utilizes social media and online advertising to widely communicate the appeal of the picture books. It also collects reviews and feedback from parents and children to improve sales strategies. This allows the sales department to effectively sell the completed picture books and reach many parents and children. Furthermore, the sales department can analyze sales data to identify popular themes and characters, and incorporate this information into future picture book creation. This allows the sales department to consistently provide picture books that meet market needs, thereby increasing satisfaction among parents and children.

[0034] The generation unit can generate appropriate images and text based on the input theme and characters. For example, the generation unit can generate appropriate images and text using a generation AI based on the input theme. For example, the generation unit can generate text based on the input theme using a text generation AI (e.g., LLM). The generation unit can also generate images based on the input characters using an image generation AI. For example, based on the theme "The Adventure Story of a Courageous Rabbit," the generation unit can generate images of scenes where the rabbit is adventuring and text that conveys the importance of having courage. In this way, by generating appropriate images and text based on the input information, the content of the picture book will be in line with the parents' intentions. Some or all of the above processing in the generation unit may be performed using a generation AI, for example, or without a generation AI. For example, the generation unit can input the input theme and characters into a generation AI, and the generation AI can generate appropriate images and text.

[0035] The editorial department can review the generated images and text and make corrections as needed. For example, the editorial department can review the generated images and text and correct typos or adjust the images. For example, the editorial department can correct typos in the generated text. The editorial department can also adjust the color tone and size of the generated images. The editorial department can also insert additional information into the generated images and text. For example, the editorial department can insert additional explanations or annotations into the generated text. The editorial department can also insert additional characters or backgrounds into the generated images. This allows the quality of the picture book to be improved by reviewing and correcting the generated images and text. Some or all of the above processes performed by the editorial department may be carried out using AI, for example, or not. For example, the editorial department can input the generated images and text into AI, which can correct typos and adjust the images.

[0036] The editorial team can change the order of pages and insert additional images and text. For example, the editorial team can provide a drag-and-drop function to change the order of pages. Alternatively, the editorial team can provide an algorithm-based automatic reordering function. For example, the editorial team can easily change the order of pages using drag-and-drop. They can also automatically change the order of pages using an algorithm. Furthermore, the editorial team can provide a selection function from an image library to insert additional images and text. For example, the editorial team can select an appropriate image from the image library and insert it into a page. They can also select an appropriate text from a text template and insert it into a page. This allows for flexible customization of the picture book's content by changing the order of pages and inserting additional images and text. Some or all of the above processes performed by the editorial team may be carried out using AI, or not. For example, the editorial team can input the page reordering and insertion of additional images and text into an AI, which can then perform the appropriate reordering and insertion.

[0037] The sales department can provide the function of printing and selling the completed picture books. For example, the sales department can select a printer and set standards for print quality in order to print and sell the completed picture books. For example, the sales department can select a reliable printer to provide high-quality printing. The sales department can also set standards for print quality and ensure that the printing of the picture books meets those standards. For example, the sales department can set standards such as color reproduction and paper texture as criteria for print quality. The sales department can also provide options for shipping the printed picture books. For example, the sales department can provide shipping options for the picture books to be delivered quickly. This allows the completed picture books to be provided as physical books by printing and selling them. Some or all of the above processes in the sales department may be performed using AI, for example, or not using AI. For example, the sales department can input the selection of the printer and the setting of print quality standards into the AI, and the AI ​​can perform appropriate selection and settings.

[0038] The sales department can provide the functionality to sell the completed picture book as digital data. For example, the sales department can select the file format and digital distribution platform for selling the completed picture book as digital data. For example, the sales department can select an appropriate file format such as PDF or EPUB. The sales department can also select an online store or an e-book platform as the digital distribution platform. For example, the sales department can sell the completed picture book as digital data through an online store. The sales department can also sell the completed picture book as digital data through an e-book platform. In this way, the completed picture book can be provided in digital format by selling it as digital data. Some or all of the above processing in the sales department may be performed using AI, for example, or not using AI. For example, the sales department can input the selection of the file format and digital distribution platform into AI, and the AI ​​can make an appropriate selection.

[0039] The reception desk can analyze the parent's past input history and suggest the optimal input method. For example, the reception desk can automatically display themes and characters that the parent has frequently entered in the past as suggestions. The reception desk can also prioritize suggesting input methods (voice, text, etc.) that the parent has used in the past. For example, the reception desk can predict and suggest themes and characters that the parent will use at a specific time of day based on the parent's past input history. In this way, by analyzing past input history, the reception desk can suggest the optimal input method for the parent. Some or all of the above processing in the reception desk may be performed using AI, for example, or not. For example, the reception desk can input the parent's past input history into AI, and the AI ​​can suggest the optimal input method.

[0040] The reception unit can filter the input information based on the parent's current lifestyle and areas of interest. For example, the reception unit can suggest relevant themes and characters based on topics the parent has recently been interested in. The reception unit can also filter appropriate themes and characters based on the parent's lifestyle (for example, the child's age and interests). For example, the reception unit can suggest relevant themes and characters based on the content of a picture book the parent has recently read. This allows for the provision of more relevant information by filtering based on the parent's lifestyle and areas of interest. Some or all of the above processing in the reception unit may be performed using AI, or not. For example, the reception unit can input the parent's lifestyle and areas of interest into an AI, which can then perform appropriate filtering.

[0041] The reception desk can prioritize receiving highly relevant information by considering the parents' geographical location when receiving input information. For example, if the parents live in a specific region, the reception desk can prioritize suggesting themes and characters related to that region. Similarly, if the parents are traveling, the reception desk can prioritize suggesting themes and characters related to their travel destination. For example, if the parents are attending a specific event, the reception desk can prioritize suggesting themes and characters related to that event. This allows the reception desk to provide parents with highly relevant information by considering their geographical location. Some or all of the above processing in the reception desk may be performed using AI, or not. For example, the reception desk can input the parents' geographical location into the AI, which can then prioritize receiving appropriate information.

[0042] The reception desk can analyze the parents' social media activity and receive relevant information when receiving input information. For example, the reception desk can suggest relevant themes and people based on what the parents have shared on social media. The reception desk can also suggest relevant themes and people based on the accounts the parents follow on social media. For example, the reception desk can suggest relevant themes and people based on the groups and events the parents participate in on social media. In this way, by analyzing social media activity, it is possible to provide information relevant to the parents. Some or all of the above processing in the reception desk may be performed using AI, for example, or not using AI. For example, the reception desk can input the parents' social media activity into AI, and the AI ​​can receive appropriate information.

[0043] The generation unit can adjust the generated content based on the level of detail of the input theme and characters during generation. For example, if the theme is specific and detailed, the generation unit will generate detailed images and text. Furthermore, if there are many characters, the generation unit can generate images and text focusing on each character. For example, if the theme is abstract, the generation unit will generate images and text using abstract expressions. This allows for the generation of more specific picture books by adjusting the generated content based on the level of detail of the theme and characters. Some or all of the above-described processes in the generation unit may be performed using a generation AI, or they may be performed without a generation AI. For example, the generation unit can input the level of detail of the input theme and characters into the generation AI, which can then adjust the generated content appropriately.

[0044] The generation unit can apply different generation algorithms depending on the genre and style during generation. For example, in the case of the adventure genre, the generation unit can generate dynamic images and exciting text. The generation unit can also generate images and text containing educational content in the case of the educational genre. For example, in the case of the fantasy genre, the generation unit can generate fantastical images and creative text. This allows for the generation of diverse picture books by applying generation algorithms according to the genre and style. Some or all of the above-described processes in the generation unit may be performed using, for example, a generation AI, or without a generation AI. For example, the generation unit can input generation algorithms corresponding to different genres and styles into the generation AI, which can then generate appropriate images and text.

[0045] The generation unit can determine the priority of generated content based on the submission timing of the input information during generation. For example, if the submission timing is early, the generation unit will generate detailed images and text. Conversely, if the submission timing is late, the generation unit can also generate concise images and text. For example, if the submission timing is related to a specific event, the generation unit will prioritize generating content related to that event. This allows for the generation of timely picture books by determining the priority of generated content based on the submission timing. Some or all of the above-described processes in the generation unit may be performed using a generation AI, for example, or without a generation AI. For example, the generation unit can input the submission timing of the input information into the generation AI, which can then determine the appropriate priority of generated content.

[0046] The generation unit can adjust the generated content by referring to relevant past generated data during the generation process. For example, the generation unit can generate images and text containing similar themes and characters based on previously generated data. The generation unit can also analyze the style preferred by parents from past generated data and adjust the generated content accordingly. For example, the generation unit can refer to past generated data and generate content consistent with picture books previously created by parents. This allows for the generation of consistent picture books by referring to past generated data. Some or all of the above-described processes in the generation unit may be performed using, for example, a generation AI, or not. For example, the generation unit can input relevant past generated data into a generation AI, which can then adjust the generated content appropriately.

[0047] The editorial team can adjust the level of detail in their editing based on the importance of the generated images and text. For example, they might perform detailed editing focusing on important scenes or characters. Conversely, they might perform concise editing on less important scenes or characters. For instance, they might apply highlighting or special formatting to text containing important messages. This allows for efficient editing by adjusting the level of detail based on the importance of images and text. Some or all of the above processes in the editorial team may be performed using AI, or not. For example, the editorial team could input the importance of the generated images and text into the AI, which could then adjust the level of detail appropriately.

[0048] The editorial team can improve editing flexibility by providing different editing tools and functions during the editing process. For example, the editorial team can provide a tool that allows parents to easily edit images. They can also provide a tool that allows parents to easily edit text. For example, the editorial team can provide a function that allows parents to easily change the order of pages. This allows for flexible editing by providing different editing tools and functions. Some or all of the above processes in the editorial team may be performed using AI, or not. For example, the editorial team can input different editing tools and functions into an AI, which can then provide the appropriate editing tools and functions.

[0049] The editorial team can suggest the optimal editing method by referring to the parent's past editing history during the editing process. For example, the editorial team can suggest the optimal editing method based on the parent's past editing history. Furthermore, the editorial team can analyze a specific editing style from the parent's past editing history and suggest an editing method based on that. For example, the editorial team can prioritize suggesting editing tools and functions that the parent has used in the past. This allows the editorial team to suggest the most suitable editing method for the parent by referring to their past editing history. Some or all of the above processes in the editorial team may be performed using AI, or not. For example, the editorial team can input the parent's past editing history into an AI, which can then suggest the optimal editing method.

[0050] The editorial team can provide an optimal editing interface by considering the parent's device information during the editing process. For example, if the parent is using a smartphone, the editorial team can provide an editing interface optimized for the screen size. Similarly, if the parent is using a tablet, the editorial team can provide an editing interface optimized for the larger screen. For example, if the parent is using a desktop computer, the editorial team can provide detailed editing options. This allows the editorial team to provide the parent with the most suitable editing interface by considering their device information. Some or all of the above processes in the editorial team may be performed using AI, or not. For example, the editorial team can input the parent's device information into an AI, which can then provide an appropriate editing interface.

[0051] The sales department can select the most suitable sales channel based on the content of the completed picture book at the time of sale. For example, in the case of an educational picture book, the sales department will prioritize educational online stores. In the case of an adventure story picture book, the sales department may also select children's bookstores or online platforms. For example, in the case of a picture book focused on a specific theme, the sales department will select specialty stores or online marketplaces related to that theme. By selecting the most suitable sales channel based on the content of the picture book, effective sales become possible. Some or all of the above processes in the sales department may be performed using AI, or not. For example, the sales department can input the content of the completed picture book into an AI, which can then select the appropriate sales channel.

[0052] The sales department can adjust its sales strategy according to the different sales format (print, digital) at the time of sale. For example, for print formats, the sales department might propose a sales strategy that emphasizes print quality and delivery options. For digital formats, the sales department might propose a sales strategy that emphasizes download speed and digital content protection. For example, if both formats are offered, the sales department might propose the most suitable sales format according to the customer's needs. This allows for effective sales by adjusting the sales strategy according to the sales format. Some or all of the above processes in the sales department may be performed using AI, or not. For example, the sales department can input sales strategies for different sales formats into an AI, and the AI ​​can propose an appropriate sales strategy.

[0053] The sales department can select the most suitable sales method at the time of sale, taking into account the parents' geographical location. For example, if the parents live in a specific region, the sales department can prioritize sales channels related to that region. Similarly, if the parents are traveling, the sales department can prioritize sales channels related to their travel destination. For example, if the parents are attending a specific event, the sales department can prioritize sales channels related to that event. This allows the sales department to provide the most suitable sales method for the parents by considering their geographical location. Some or all of the above processing in the sales department may be performed using AI, or not. For example, the sales department can input the parents' geographical location into an AI, which can then select an appropriate sales method.

[0054] The sales department can analyze parents' social media activity and propose sales strategies at the time of sale. For example, the sales department can propose relevant sales strategies based on what parents share on social media. The sales department can also propose relevant sales strategies based on the accounts parents follow on social media. For example, the sales department can propose relevant sales strategies based on the groups and events parents participate in on social media. This allows the sales department to propose the most suitable sales strategy for parents by analyzing their social media activity. Some or all of the above processes in the sales department may be performed using AI, or not. For example, the sales department can input parents' social media activity into an AI, which can then propose an appropriate sales strategy.

[0055] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0056] The reception desk can suggest educational content related to the picture book's theme and characters based on the information entered by the parents. For example, if a parent enters the theme "I want my child to learn courage," the reception desk can suggest educational essays or videos about courage. If a parent selects "adventure stories," the reception desk can also introduce scientific facts or historical events related to adventure. This allows parents to gain a deeper understanding of the picture book's content and provide their children with richer educational value. Some or all of the processing described above in the reception desk may be performed using AI, or not. For example, the reception desk could input the parent's information into an AI, which could then suggest appropriate educational content.

[0057] The generation unit can add interactive elements related to the picture book's content based on the parent's input information. For example, the generation unit can enable children to answer simple quizzes while reading the book. It can also incorporate a game where children search for hidden items within the book. Furthermore, the generation unit can add interactive scenes where children can converse with the book's characters. This allows children to learn while enjoying the picture book more. Some or all of the above processing in the generation unit may be performed using, for example, a generation AI, or without a generation AI. For example, the generation unit can input the parent's input information into a generation AI, which can then add appropriate interactive elements.

[0058] The editorial team can provide parents with additional resources and reference materials based on the content of the generated picture book. For example, they can provide links to books and websites related to the theme of the picture book. They can also provide historical and cultural information related to the characters in the picture book. Furthermore, they can suggest ideas for activities and projects that parents can do with their children. This allows parents to understand the content of the picture book more deeply and provides children with richer learning opportunities. Some or all of the above processing by the editorial team may be done using AI, for example, or not. For example, the editorial team can input the content of the generated picture book into an AI, which can then provide appropriate resources and reference materials.

[0059] The sales department can suggest related products and services based on the content of the completed picture book. For example, the sales department can suggest toys and games related to the theme of the picture book. They can also suggest merchandise and accessories related to the characters in the picture book. Furthermore, the sales department can suggest workshops and events that parents and children can participate in together, based on the content of the picture book. This allows parents to enjoy the content of the picture book more while also utilizing related products and services. Some or all of the above processes in the sales department may be performed using AI, for example, or not. For example, the sales department can input the content of the completed picture book into an AI, which can then suggest appropriate products and services.

[0060] The generation unit can adjust the generated content based on the level of detail of the input theme and characters during the generation process. For example, if the theme is specific and detailed, it will generate detailed images and text. If there are many characters, it can also generate images and text that focus on each character. Furthermore, if the theme is abstract, it will generate images and text that use abstract expressions. In this way, by adjusting the generated content based on the level of detail of the theme and characters, a more concrete picture book can be generated. Some or all of the above processing in the generation unit may be performed using a generation AI, for example, or without a generation AI. For example, the generation unit can input the level of detail of the input theme and characters into the generation AI, and the generation AI can adjust the generated content appropriately.

[0061] The generation unit can apply different generation algorithms depending on the genre and style during generation. For example, in the case of the adventure genre, it can generate dynamic images and exciting text. In the case of the educational genre, it can also generate images and text that include educational content. Furthermore, in the case of the fantasy genre, it can generate fantastical images and creative text. In this way, by applying generation algorithms according to the genre and style, a variety of picture books can be generated. Some or all of the above processing in the generation unit may be performed using a generation AI, for example, or without a generation AI. For example, the generation unit can input generation algorithms corresponding to different genres and styles into the generation AI, and the generation AI can generate appropriate images and text.

[0062] The following briefly describes the processing flow for example form 1.

[0063] Step 1: The reception desk receives information entered by the parents. This information includes text, images, and audio. For example, parents can use the app to enter the theme of the picture book, the characters, and what they want their child to learn. Step 2: The generation unit uses a generation AI to generate images and text for the picture book based on the information received by the reception unit. For example, it generates appropriate images and text based on the input theme and characters. The generation AI uses a text generation AI (e.g., LLM) to generate text based on the input theme and an image generation AI to generate images based on the input characters. Step 3: The editorial team edits and reviews the picture book generated by the production team. For example, they can review the generated images and text and make corrections as needed. They can also change the order of the pages or insert additional images and text. Step 4: The sales department sells the completed picture books. For example, they provide functions to print and sell the completed picture books, or to sell them as digital data. They also select printing companies, set standards for print quality, and select digital distribution platforms.

[0064] (Example of form 2) The picture book creation system according to an embodiment of the present invention is a system that provides a service that allows parents to easily create picture books for their children. This picture book creation system allows parents to input the theme, characters, and learning objectives of the picture book using an app, and the generating AI generates images and text for the picture book based on the input information. The generated picture book can be edited and reviewed by the parent on the UI, and finally, the completed picture book or its data can be sold. This mechanism makes it easy to create original picture books tailored to a child's growth and preferences. For example, a parent might input information such as "I want my child to learn courage," "The main character is a rabbit," and "An adventure story" using the app. This information is input into the generating AI, which then generates appropriate images and text based on the input theme and characters. For example, based on the theme "An adventure story of a courageous rabbit," the AI ​​generates images of scenes where the rabbit is on an adventure and text conveying the importance of courage. The generated picture book can be edited and reviewed by the parent on the UI. For example, they can review the generated images and text and make corrections as needed. They can also change the order of pages or insert additional images and text. Finally, the completed picture book or its data can be sold. Parents can print and sell the completed picture books, or sell them as digital data. This makes it easy to create and sell original picture books tailored to their child's development and preferences. This system allows parents to easily create original picture books that match their child's development and preferences. Furthermore, it allows them to create picture books that perfectly address their child's concerns, thus supporting their child's growth. For example, if a child is struggling with courage, creating a picture book that conveys the importance of courage can support the child's development. In short, this picture book creation system makes it easy for parents to create and sell picture books for their children.

[0065] The picture book creation system according to this embodiment comprises a reception unit, a generation unit, an editing unit, and a sales unit. The reception unit receives information entered by parents. The information entered by parents includes, but is not limited to, text information, image information, and audio information. For example, parents can use an app to input the theme of the picture book, characters, and content they want their children to learn. The generation unit uses a generation AI to generate images and text for the picture book based on the information received by the reception unit. For example, the generation unit generates appropriate images and text based on the entered theme and characters. For example, the generation AI uses a text generation AI (e.g., LLM) to generate text based on the entered theme. The generation unit can also use an image generation AI to generate images based on the entered characters. For example, based on the theme "The Adventure Story of a Courageous Rabbit," the generation AI generates images of scenes where the rabbit is adventuring and text that conveys the importance of having courage. The editing unit edits and checks the picture book generated by the generation unit. The editorial department can, for example, review the generated images and text and make corrections as needed. The editorial department can also change the page order or insert additional images and text. For example, the editorial department can review the generated images and text, correct typos and adjust images. The sales department sells the completed picture books. The sales department provides functions for printing and selling the completed picture books. The sales department can also provide functions for selling the completed picture books as digital data. For example, the sales department selects a printer and sets print quality standards for printing and selling the completed picture books. The sales department also selects file formats and digital distribution platforms for selling the completed picture books as digital data. This allows the picture book creation system according to this embodiment to easily allow parents to create and sell picture books for their children.

[0066] The reception desk receives information entered by parents. This information may include, but is not limited to, text, images, and audio. For example, parents can use the app to input the theme of a picture book, characters, and learning objectives. Specifically, the information parents input through the app can range from their child's name and favorite character to specific learning goals. For example, if a child likes dinosaurs, they can input information to create a dinosaur-themed picture book. Parents can also specify learning objectives they want their children to learn, such as the importance of friendship or environmental protection. This allows the reception desk to support the creation of customized picture books tailored to the parents' needs. Furthermore, the reception desk centrally manages the entered information and provides an interface for smooth transfer to the generation and editing departments. For example, the entered information is stored on a cloud server and made accessible to the generation department. The reception desk also provides functions for reviewing and correcting entered information, making it easy for parents to correct any errors they may have entered. This allows the reception desk to easily and accurately input information and support the creation of customized picture books for parents.

[0067] The generation unit uses a generation AI to generate images and text for the picture book based on the information received by the reception unit. For example, the generation unit generates appropriate images and text based on the entered theme and characters. Specifically, the generation AI uses a text generation AI (e.g., LLM) to generate text based on the entered theme. For example, if the theme "An adventure story of a brave rabbit" is entered, the generation AI will generate detailed descriptions of the rabbit's adventures and text that conveys the importance of having courage. The generation unit can also use an image generation AI to generate images based on the entered characters. For example, it can generate images of the rabbit's adventures and images that realistically depict the characters' expressions and actions. Based on the information entered by the parents, the generation AI constructs the overall storyline of the picture book and automatically generates the layout and design of each page. This allows the generation unit to quickly and efficiently generate customized picture books that meet the parents' needs. Furthermore, the generation unit also has a function to evaluate the quality of the generated images and text and make corrections as needed. For example, if the generated image is unnatural or the text is inappropriate, the generation AI automatically corrects it and provides the optimal result. This allows the generation unit to produce high-quality picture books and meet parents' expectations.

[0068] The editorial team edits and reviews the picture books generated by the production team. For example, the editorial team can review the generated images and text and make corrections as needed. Specifically, the editorial team meticulously checks each page of the generated picture book, correcting typos and adjusting images. For example, if the generated text contains typos, the editorial team corrects them and replaces them with accurate sentences. Also, if the generated images are unnatural or the colors are inappropriate, the editorial team adjusts the images to create a more natural and appealing picture book. Furthermore, the editorial team can change the order of pages or insert additional images and text. For example, they can change the order of pages to make the story flow more smoothly or insert additional images to highlight important scenes. The editorial team also provides an interface to incorporate parents' opinions and feedback, ensuring that parents are satisfied with the content of the picture book. For example, if parents want to add a specific scene or change a specific sentence, the editorial team can incorporate that. This allows the editorial team to improve the quality of the generated picture book and meet parents' expectations.

[0069] The sales department sells the completed picture books. For example, the sales department provides functions such as printing and selling the completed picture books. The sales department can also provide functions for selling the completed picture books as digital data. Specifically, the sales department selects a printing company and sets standards for print quality. For example, it uses high-quality paper and ink to ensure the durability and beauty of the picture books. Furthermore, the sales department selects file formats and digital distribution platforms for selling the completed picture books as digital data. For example, it selects file formats viewable on various devices, such as PDF or ePub, and sells them through digital distribution platforms. In addition, the sales department conducts marketing and promotional activities to boost sales of the picture books. For example, it utilizes social media and online advertising to widely communicate the appeal of the picture books. It also collects reviews and feedback from parents and children to improve sales strategies. This allows the sales department to effectively sell the completed picture books and reach many parents and children. Furthermore, the sales department can analyze sales data to identify popular themes and characters, and incorporate this information into future picture book creation. This allows the sales department to consistently provide picture books that meet market needs, thereby increasing satisfaction among parents and children.

[0070] The generation unit can generate appropriate images and text based on the input theme and characters. For example, the generation unit can generate appropriate images and text using a generation AI based on the input theme. For example, the generation unit can generate text based on the input theme using a text generation AI (e.g., LLM). The generation unit can also generate images based on the input characters using an image generation AI. For example, based on the theme "The Adventure Story of a Courageous Rabbit," the generation unit can generate images of scenes where the rabbit is adventuring and text that conveys the importance of having courage. In this way, by generating appropriate images and text based on the input information, the content of the picture book will be in line with the parents' intentions. Some or all of the above processing in the generation unit may be performed using a generation AI, for example, or without a generation AI. For example, the generation unit can input the input theme and characters into a generation AI, and the generation AI can generate appropriate images and text.

[0071] The editorial department can review the generated images and text and make corrections as needed. For example, the editorial department can review the generated images and text and correct typos or adjust the images. For example, the editorial department can correct typos in the generated text. The editorial department can also adjust the color tone and size of the generated images. The editorial department can also insert additional information into the generated images and text. For example, the editorial department can insert additional explanations or annotations into the generated text. The editorial department can also insert additional characters or backgrounds into the generated images. This allows the quality of the picture book to be improved by reviewing and correcting the generated images and text. Some or all of the above processes performed by the editorial department may be carried out using AI, for example, or not. For example, the editorial department can input the generated images and text into AI, which can correct typos and adjust the images.

[0072] The editorial team can change the order of pages and insert additional images and text. For example, the editorial team can provide a drag-and-drop function to change the order of pages. Alternatively, the editorial team can provide an algorithm-based automatic reordering function. For example, the editorial team can easily change the order of pages using drag-and-drop. They can also automatically change the order of pages using an algorithm. Furthermore, the editorial team can provide a selection function from an image library to insert additional images and text. For example, the editorial team can select an appropriate image from the image library and insert it into a page. They can also select an appropriate text from a text template and insert it into a page. This allows for flexible customization of the picture book's content by changing the order of pages and inserting additional images and text. Some or all of the above processes performed by the editorial team may be carried out using AI, or not. For example, the editorial team can input the page reordering and insertion of additional images and text into an AI, which can then perform the appropriate reordering and insertion.

[0073] The sales department can provide the function of printing and selling the completed picture books. For example, the sales department can select a printer and set standards for print quality in order to print and sell the completed picture books. For example, the sales department can select a reliable printer to provide high-quality printing. The sales department can also set standards for print quality and ensure that the printing of the picture books meets those standards. For example, the sales department can set standards such as color reproduction and paper texture as criteria for print quality. The sales department can also provide options for shipping the printed picture books. For example, the sales department can provide shipping options for the picture books to be delivered quickly. This allows the completed picture books to be provided as physical books by printing and selling them. Some or all of the above processes in the sales department may be performed using AI, for example, or not using AI. For example, the sales department can input the selection of the printer and the setting of print quality standards into the AI, and the AI ​​can perform appropriate selection and settings.

[0074] The sales department can provide the functionality to sell the completed picture book as digital data. For example, the sales department can select the file format and digital distribution platform for selling the completed picture book as digital data. For example, the sales department can select an appropriate file format such as PDF or EPUB. The sales department can also select an online store or an e-book platform as the digital distribution platform. For example, the sales department can sell the completed picture book as digital data through an online store. The sales department can also sell the completed picture book as digital data through an e-book platform. In this way, the completed picture book can be provided in digital format by selling it as digital data. Some or all of the above processing in the sales department may be performed using AI, for example, or not using AI. For example, the sales department can input the selection of the file format and digital distribution platform into AI, and the AI ​​can make an appropriate selection.

[0075] The reception desk can estimate the parent's emotions and adjust how input information is received based on the estimated emotions. For example, if the parent is stressed, the reception desk can provide a simple interface and minimize the input steps. If the parent is relaxed, the reception desk can also provide detailed input options and suggest customizable input methods. For example, if the parent is in a hurry, the reception desk can prioritize voice input to allow for quick input of themes and characters. This provides a more appropriate input environment by adjusting how input information is received according to the parent's emotions. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the reception desk may be performed using AI or not. For example, the reception desk can input the parent's emotion data into the AI, which can then adjust how appropriate the input information is received.

[0076] The reception desk can analyze the parent's past input history and suggest the optimal input method. For example, the reception desk can automatically display themes and characters that the parent has frequently entered in the past as suggestions. The reception desk can also prioritize suggesting input methods (voice, text, etc.) that the parent has used in the past. For example, the reception desk can predict and suggest themes and characters that the parent will use at a specific time of day based on the parent's past input history. In this way, by analyzing past input history, the reception desk can suggest the optimal input method for the parent. Some or all of the above processing in the reception desk may be performed using AI, for example, or not. For example, the reception desk can input the parent's past input history into AI, and the AI ​​can suggest the optimal input method.

[0077] The reception unit can filter the input information based on the parent's current lifestyle and areas of interest. For example, the reception unit can suggest relevant themes and characters based on topics the parent has recently been interested in. The reception unit can also filter appropriate themes and characters based on the parent's lifestyle (for example, the child's age and interests). For example, the reception unit can suggest relevant themes and characters based on the content of a picture book the parent has recently read. This allows for the provision of more relevant information by filtering based on the parent's lifestyle and areas of interest. Some or all of the above processing in the reception unit may be performed using AI, or not. For example, the reception unit can input the parent's lifestyle and areas of interest into an AI, which can then perform appropriate filtering.

[0078] The reception desk can estimate the parent's emotions and prioritize input information based on the estimated emotions. For example, if the parent is stressed, the reception desk can prioritize displaying important input items to allow for quick input. If the parent is relaxed, the reception desk can also provide detailed input options and suggest customizable input methods. For example, if the parent is in a hurry, the reception desk can prioritize displaying the most important input items to allow for quick input. This allows for quick input of important information by prioritizing input information according to the parent's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the reception desk may be performed using AI or not. For example, the reception desk can input the parent's emotion data into an AI, which can then determine the appropriate priority of input information.

[0079] The reception desk can prioritize receiving highly relevant information by considering the parents' geographical location when receiving input information. For example, if the parents live in a specific region, the reception desk can prioritize suggesting themes and characters related to that region. Similarly, if the parents are traveling, the reception desk can prioritize suggesting themes and characters related to their travel destination. For example, if the parents are attending a specific event, the reception desk can prioritize suggesting themes and characters related to that event. This allows the reception desk to provide parents with highly relevant information by considering their geographical location. Some or all of the above processing in the reception desk may be performed using AI, or not. For example, the reception desk can input the parents' geographical location into the AI, which can then prioritize receiving appropriate information.

[0080] The reception desk can analyze the parents' social media activity and receive relevant information when receiving input information. For example, the reception desk can suggest relevant themes and people based on what the parents have shared on social media. The reception desk can also suggest relevant themes and people based on the accounts the parents follow on social media. For example, the reception desk can suggest relevant themes and people based on the groups and events the parents participate in on social media. In this way, by analyzing social media activity, it is possible to provide information relevant to the parents. Some or all of the above processing in the reception desk may be performed using AI, for example, or not using AI. For example, the reception desk can input the parents' social media activity into AI, and the AI ​​can receive appropriate information.

[0081] The generation unit can estimate the parent's emotions and adjust the way images and text are expressed based on the estimated emotions. For example, if the parent is relaxed, the generation unit will generate soft colors and gentle text. If the parent is excited, the generation unit can also generate vibrant colors and lively text. For example, if the parent is sad, the generation unit will generate calm colors and comforting text. In this way, by adjusting the way images and text are expressed according to the parent's emotions, a more appropriate picture book can be generated. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or a generation AI. The generation AI is a text generation AI (e.g., LLM) or a multimodal generation AI, but is not limited to such examples. Some or all of the above processing in the generation unit may be performed using a generation AI, for example, or without a generation AI. For example, the generation unit can input the parent's emotion data into a generation AI, and the generation AI can adjust the way images and text are expressed appropriately.

[0082] The generation unit can adjust the generated content based on the level of detail of the input theme and characters during generation. For example, if the theme is specific and detailed, the generation unit will generate detailed images and text. Furthermore, if there are many characters, the generation unit can generate images and text focusing on each character. For example, if the theme is abstract, the generation unit will generate images and text using abstract expressions. This allows for the generation of more specific picture books by adjusting the generated content based on the level of detail of the theme and characters. Some or all of the above-described processes in the generation unit may be performed using a generation AI, or they may be performed without a generation AI. For example, the generation unit can input the level of detail of the input theme and characters into the generation AI, which can then adjust the generated content appropriately.

[0083] The generation unit can apply different generation algorithms depending on the genre and style during generation. For example, in the case of the adventure genre, the generation unit can generate dynamic images and exciting text. The generation unit can also generate images and text containing educational content in the case of the educational genre. For example, in the case of the fantasy genre, the generation unit can generate fantastical images and creative text. This allows for the generation of diverse picture books by applying generation algorithms according to the genre and style. Some or all of the above-described processes in the generation unit may be performed using, for example, a generation AI, or without a generation AI. For example, the generation unit can input generation algorithms corresponding to different genres and styles into the generation AI, which can then generate appropriate images and text.

[0084] The generation unit can estimate the parent's emotions and adjust the length of the images and text it generates based on the estimated emotions. For example, if the parent is relaxed, the generation unit will generate longer text and more detailed images. It can also generate shorter text and more concise images if the parent is in a hurry. For example, if the parent is excited, the generation unit will generate images and text with visually stimulating effects. This allows for the creation of more appropriate picture books by adjusting the length of images and text according to the parent's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or a generation AI. The generation AI may be, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above-described processes in the generation unit may be performed using a generation AI, or not. For example, the generation unit can input the parent's emotion data into a generation AI, which can then adjust the appropriate image and text length.

[0085] The generation unit can determine the priority of generated content based on the submission timing of the input information during generation. For example, if the submission timing is early, the generation unit will generate detailed images and text. Conversely, if the submission timing is late, the generation unit can also generate concise images and text. For example, if the submission timing is related to a specific event, the generation unit will prioritize generating content related to that event. This allows for the generation of timely picture books by determining the priority of generated content based on the submission timing. Some or all of the above-described processes in the generation unit may be performed using a generation AI, for example, or without a generation AI. For example, the generation unit can input the submission timing of the input information into the generation AI, which can then determine the appropriate priority of generated content.

[0086] The generation unit can adjust the generated content by referring to relevant past generated data during the generation process. For example, the generation unit can generate images and text containing similar themes and characters based on previously generated data. The generation unit can also analyze the style preferred by parents from past generated data and adjust the generated content accordingly. For example, the generation unit can refer to past generated data and generate content consistent with picture books previously created by parents. This allows for the generation of consistent picture books by referring to past generated data. Some or all of the above-described processes in the generation unit may be performed using, for example, a generation AI, or not. For example, the generation unit can input relevant past generated data into a generation AI, which can then adjust the generated content appropriately.

[0087] The editorial team can estimate the parents' emotions and adjust the editing interface based on those emotions. For example, if a parent is stressed, the editorial team can provide an interface with calming colors to reduce visual stress. Conversely, if a parent is enjoying themselves, the editorial team can provide an interface with bright colors to make the editing process more enjoyable. For example, if a parent is tired, the editorial team can provide a simple and highly visible interface to facilitate the editing process. In this way, a more comfortable editing environment can be provided by adjusting the editing interface according to the parents' emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the editorial team may be performed using AI, for example, or not using AI. For example, the editorial team can input the parents' emotion data into the AI, which can then adjust the appropriate editing interface.

[0088] The editorial team can adjust the level of detail in their editing based on the importance of the generated images and text. For example, they might perform detailed editing focusing on important scenes or characters. Conversely, they might perform concise editing on less important scenes or characters. For instance, they might apply highlighting or special formatting to text containing important messages. This allows for efficient editing by adjusting the level of detail based on the importance of images and text. Some or all of the above processes in the editorial team may be performed using AI, or not. For example, the editorial team could input the importance of the generated images and text into the AI, which could then adjust the level of detail appropriately.

[0089] The editorial team can improve editing flexibility by providing different editing tools and functions during the editing process. For example, the editorial team can provide a tool that allows parents to easily edit images. They can also provide a tool that allows parents to easily edit text. For example, the editorial team can provide a function that allows parents to easily change the order of pages. This allows for flexible editing by providing different editing tools and functions. Some or all of the above processes in the editorial team may be performed using AI, or not. For example, the editorial team can input different editing tools and functions into an AI, which can then provide the appropriate editing tools and functions.

[0090] The editorial team can estimate the parents' emotions and prioritize editing based on those emotions. For example, if the parents are stressed, the editorial team can prioritize important editing items to allow for quick editing. If the parents are relaxed, the editorial team can also provide detailed editing options and suggest customizable editing methods. For example, if the parents are in a hurry, the editorial team can prioritize the most important editing items to allow for quick editing. This allows for quick processing of important editing items by prioritizing editing according to the parents' emotions. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the editorial team may be performed using AI or not. For example, the editorial team can input parents' emotion data into an AI, which can then determine appropriate editing priorities.

[0091] The editorial team can suggest the optimal editing method by referring to the parent's past editing history during the editing process. For example, the editorial team can suggest the optimal editing method based on the parent's past editing history. Furthermore, the editorial team can analyze a specific editing style from the parent's past editing history and suggest an editing method based on that. For example, the editorial team can prioritize suggesting editing tools and functions that the parent has used in the past. This allows the editorial team to suggest the most suitable editing method for the parent by referring to their past editing history. Some or all of the above processes in the editorial team may be performed using AI, or not. For example, the editorial team can input the parent's past editing history into an AI, which can then suggest the optimal editing method.

[0092] The editorial team can provide an optimal editing interface by considering the parent's device information during the editing process. For example, if the parent is using a smartphone, the editorial team can provide an editing interface optimized for the screen size. Similarly, if the parent is using a tablet, the editorial team can provide an editing interface optimized for the larger screen. For example, if the parent is using a desktop computer, the editorial team can provide detailed editing options. This allows the editorial team to provide the parent with the most suitable editing interface by considering their device information. Some or all of the above processes in the editorial team may be performed using AI, or not. For example, the editorial team can input the parent's device information into an AI, which can then provide an appropriate editing interface.

[0093] The sales department can estimate the parents' emotions and adjust the sales process based on those estimates. For example, if the parents are relaxed, the sales department can offer detailed sales options and suggest customizable sales methods. If the parents are in a hurry, the sales department can also ensure the sales process is completed quickly. For example, if the parents are anxious, the sales department can provide reassuring explanations and support. This allows for a more appropriate sales environment by adjusting the sales process according to the parents' emotions. Emotion estimation is achieved using emotion estimation functions, such as an emotion engine or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above-described processes in the sales department may be performed using AI or not. For example, the sales department can input parent emotion data into an AI, which can then adjust the sales process accordingly.

[0094] The sales department can select the most suitable sales channel based on the content of the completed picture book at the time of sale. For example, in the case of an educational picture book, the sales department will prioritize educational online stores. In the case of an adventure story picture book, the sales department may also select children's bookstores or online platforms. For example, in the case of a picture book focused on a specific theme, the sales department will select specialty stores or online marketplaces related to that theme. By selecting the most suitable sales channel based on the content of the picture book, effective sales become possible. Some or all of the above processes in the sales department may be performed using AI, or not. For example, the sales department can input the content of the completed picture book into an AI, which can then select the appropriate sales channel.

[0095] The sales department can adjust its sales strategy according to the different sales format (print, digital) at the time of sale. For example, for print formats, the sales department might propose a sales strategy that emphasizes print quality and delivery options. For digital formats, the sales department might propose a sales strategy that emphasizes download speed and digital content protection. For example, if both formats are offered, the sales department might propose the most suitable sales format according to the customer's needs. This allows for effective sales by adjusting the sales strategy according to the sales format. Some or all of the above processes in the sales department may be performed using AI, or not. For example, the sales department can input sales strategies for different sales formats into an AI, and the AI ​​can propose an appropriate sales strategy.

[0096] The sales department can estimate the parents' emotions and prioritize sales based on those emotions. For example, if the parents are in a hurry, the sales department can ensure that the sales process is completed quickly. If the parents are relaxed, the sales department can offer detailed sales options and suggest a customizable sales approach. For example, if the parents are feeling anxious, the sales department can provide reassuring explanations and support. This allows for the rapid processing of important sales items by prioritizing sales according to the parents' emotions. Emotion estimation is achieved using emotion estimation functions, such as an emotion engine or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processes in the sales department may be performed using AI or not. For example, the sales department can input parent emotion data into an AI, which can then determine the appropriate sales priorities.

[0097] The sales department can select the most suitable sales method at the time of sale, taking into account the parents' geographical location. For example, if the parents live in a specific region, the sales department can prioritize sales channels related to that region. Similarly, if the parents are traveling, the sales department can prioritize sales channels related to their travel destination. For example, if the parents are attending a specific event, the sales department can prioritize sales channels related to that event. This allows the sales department to provide the most suitable sales method for the parents by considering their geographical location. Some or all of the above processing in the sales department may be performed using AI, or not. For example, the sales department can input the parents' geographical location into an AI, which can then select an appropriate sales method.

[0098] The sales department can analyze parents' social media activity and propose sales strategies at the time of sale. For example, the sales department can propose relevant sales strategies based on what parents share on social media. The sales department can also propose relevant sales strategies based on the accounts parents follow on social media. For example, the sales department can propose relevant sales strategies based on the groups and events parents participate in on social media. This allows the sales department to propose the most suitable sales strategy for parents by analyzing their social media activity. Some or all of the above processes in the sales department may be performed using AI, or not. For example, the sales department can input parents' social media activity into an AI, which can then propose an appropriate sales strategy.

[0099] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0100] The reception desk can suggest educational content related to the picture book's theme and characters based on the information entered by the parents. For example, if a parent enters the theme "I want my child to learn courage," the reception desk can suggest educational essays or videos about courage. If a parent selects "adventure stories," the reception desk can also introduce scientific facts or historical events related to adventure. This allows parents to gain a deeper understanding of the picture book's content and provide their children with richer educational value. Some or all of the processing described above in the reception desk may be performed using AI, or not. For example, the reception desk could input the parent's information into an AI, which could then suggest appropriate educational content.

[0101] The generation unit can add interactive elements related to the picture book's content based on the parent's input information. For example, the generation unit can enable children to answer simple quizzes while reading the book. It can also incorporate a game where children search for hidden items within the book. Furthermore, the generation unit can add interactive scenes where children can converse with the book's characters. This allows children to learn while enjoying the picture book more. Some or all of the above processing in the generation unit may be performed using, for example, a generation AI, or without a generation AI. For example, the generation unit can input the parent's input information into a generation AI, which can then add appropriate interactive elements.

[0102] The editorial team can provide parents with additional resources and reference materials based on the content of the generated picture book. For example, they can provide links to books and websites related to the theme of the picture book. They can also provide historical and cultural information related to the characters in the picture book. Furthermore, they can suggest ideas for activities and projects that parents can do with their children. This allows parents to understand the content of the picture book more deeply and provides children with richer learning opportunities. Some or all of the above processing by the editorial team may be done using AI, for example, or not. For example, the editorial team can input the content of the generated picture book into an AI, which can then provide appropriate resources and reference materials.

[0103] The sales department can suggest related products and services based on the content of the completed picture book. For example, the sales department can suggest toys and games related to the theme of the picture book. They can also suggest merchandise and accessories related to the characters in the picture book. Furthermore, the sales department can suggest workshops and events that parents and children can participate in together, based on the content of the picture book. This allows parents to enjoy the content of the picture book more while also utilizing related products and services. Some or all of the above processes in the sales department may be performed using AI, for example, or not. For example, the sales department can input the content of the completed picture book into an AI, which can then suggest appropriate products and services.

[0104] The reception desk can estimate the parent's emotions and adjust how input information is received based on the estimated emotions. For example, if the parent is stressed, a simple interface is provided, minimizing the input steps. If the parent is relaxed, detailed input options are provided, and customizable input methods are suggested. Furthermore, if the parent is in a hurry, voice input is prioritized, allowing for quick input of themes and characters. This allows for a more appropriate input environment by adjusting how input information is received according to the parent's emotions. Emotion estimation is achieved using emotion estimation functions, such as an emotion engine or generative AI. Some or all of the above processing in the reception desk may be performed using AI, or not. For example, the reception desk can input the parent's emotion data into the AI, which can then adjust the appropriate way to receive input information.

[0105] The generation unit can estimate the parent's emotions and adjust the way images and text are expressed based on the estimated emotions. For example, if the parent is relaxed, it can generate soft colors and gentle text. If the parent is excited, it can generate bright colors and lively text. Furthermore, if the parent is sad, it can generate calm colors and comforting text. In this way, by adjusting the way images and text are expressed according to the parent's emotions, a more appropriate picture book can be generated. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or a generation AI. Some or all of the above processing in the generation unit may be performed using a generation AI, or it may be performed without a generation AI. For example, the generation unit can input the parent's emotion data into a generation AI, which can then adjust the way images and text are expressed appropriately.

[0106] The editorial team can estimate the parent's emotions and adjust the editing interface based on those emotions. For example, if the parent is stressed, a calming color scheme interface can be provided to reduce visual stress. If the parent is enjoying themselves, a bright color scheme interface can be provided to make the editing process more enjoyable. Furthermore, if the parent is tired, a simple and highly visible interface can be provided to facilitate the editing process. In this way, a more comfortable editing environment can be provided by adjusting the editing interface according to the parent's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Some or all of the above processing in the editorial team may be performed using AI, or not using AI. For example, the editorial team can input the parent's emotion data into an AI, which can then adjust the appropriate editing interface.

[0107] The sales department can estimate the parents' emotions and adjust the sales process based on those estimates. For example, if the parents are relaxed, they can offer detailed sales options and suggest customizable sales methods. If the parents are in a hurry, the sales process can be completed quickly. Furthermore, if the parents are feeling anxious, reassuring explanations and support can be provided. By adjusting the sales process according to the parents' emotions, a more appropriate sales environment can be provided. Emotion estimation is achieved using emotion estimation functions, such as an emotion engine or generative AI. Some or all of the above processing in the sales department may be performed using AI, or not. For example, the sales department can input the parents' emotion data into the AI, which can then adjust the sales process appropriately.

[0108] The generation unit can adjust the generated content based on the level of detail of the input theme and characters during the generation process. For example, if the theme is specific and detailed, it will generate detailed images and text. If there are many characters, it can also generate images and text that focus on each character. Furthermore, if the theme is abstract, it will generate images and text that use abstract expressions. In this way, by adjusting the generated content based on the level of detail of the theme and characters, a more concrete picture book can be generated. Some or all of the above processing in the generation unit may be performed using a generation AI, for example, or without a generation AI. For example, the generation unit can input the level of detail of the input theme and characters into the generation AI, and the generation AI can adjust the generated content appropriately.

[0109] The generation unit can apply different generation algorithms depending on the genre and style during generation. For example, in the case of the adventure genre, it can generate dynamic images and exciting text. In the case of the educational genre, it can also generate images and text that include educational content. Furthermore, in the case of the fantasy genre, it can generate fantastical images and creative text. In this way, by applying generation algorithms according to the genre and style, a variety of picture books can be generated. Some or all of the above processing in the generation unit may be performed using a generation AI, for example, or without a generation AI. For example, the generation unit can input generation algorithms corresponding to different genres and styles into the generation AI, and the generation AI can generate appropriate images and text.

[0110] The following briefly describes the processing flow for example form 2.

[0111] Step 1: The reception desk receives information entered by the parents. This information includes text, images, and audio. For example, parents can use the app to enter the theme of the picture book, the characters, and what they want their child to learn. Step 2: The generation unit uses a generation AI to generate images and text for the picture book based on the information received by the reception unit. For example, it generates appropriate images and text based on the input theme and characters. The generation AI uses a text generation AI (e.g., LLM) to generate text based on the input theme and an image generation AI to generate images based on the input characters. Step 3: The editorial team edits and reviews the picture book generated by the production team. For example, they can review the generated images and text and make corrections as needed. They can also change the order of the pages or insert additional images and text. Step 4: The sales department sells the completed picture books. For example, they provide functions to print and sell the completed picture books, or to sell them as digital data. They also select printing companies, set standards for print quality, and select digital distribution platforms.

[0112] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0113] Data generation model 58 is a form of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> Examples of generative AI include text generation AI, image generation AI, and multimodal generation AI. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats from audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each of the above parts is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example.Furthermore, processing performed by AI, including generative AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by AI, including generative AI.

[0114] Furthermore, the processing performed by the data processing system 10 described above is carried out by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but it may also be carried out by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. In addition, 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.

[0115] Each of the multiple elements described above, including the reception unit, generation unit, editing unit, and sales unit, is implemented by, for example, at least one of the smart device 14 and the data processing unit 12. For example, the reception unit is implemented by the reception device 38 of the smart device 14, allowing parents to input the theme and characters of the picture book using an app. The generation unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12, which generates images and text for the picture book using a generation AI. The editing unit is implemented by, for example, the control unit 46A of the smart device 14, which allows editing and confirmation of the generated picture book. The sales unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12, which provides the function of selling the completed picture book. The correspondence between each unit and the devices and control units is not limited to the examples described above, and various changes are possible.

[0116] [Second Embodiment] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0117] As shown in Figure 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.

[0118] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0119] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0120] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0121] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0122] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0123] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing by the processor 28. The storage 32 stores the specific processing program 56.

[0124] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0125] Storage 32 stores the data generation model 58 and the 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 emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0126] In the smart glasses 214, specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. 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 acting as a control unit 46A according to the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0127] Furthermore, other devices besides the data processing device 12 may also 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 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0128] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0129] The data generation model 58 is a so-called generative AI. An example of a 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 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0130] 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 performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but it may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart glasses 214 or an external device, and the smart glasses 214 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0131] Each of the multiple elements described above, including the reception unit, generation unit, editing unit, and sales unit, is implemented by, for example, at least one of the smart glasses 214 and the data processing unit 12. For example, the reception unit is implemented by the microphone 238 of the smart glasses 214, allowing parents to input the theme and characters of the picture book by voice. The generation unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12, which generates images and text for the picture book using a generation AI. The editing unit is implemented by, for example, the control unit 46A of the smart glasses 214, which allows editing and confirmation of the generated picture book. The sales unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12, which provides the function of selling the completed picture book. The correspondence between each unit and the devices and control units is not limited to the examples described above, and various changes are possible.

[0132] [Third Embodiment] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0133] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0134] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0135] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0136] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0137] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0138] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0139] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0140] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0141] Storage 32 stores the data generation model 58 and the 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 emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0142] In the headset terminal 314, specific processing is performed by the processor 46. The storage 50 stores a specific program 60. The processor 46 reads the specific program 60 from the storage 50 and executes the read specific program 60 on the RAM 48. The specific processing is realized by the processor 46 acting as a control unit 46A according to the specific program 60 executed on the RAM 48. The headset terminal 314 also has a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0143] Furthermore, other devices besides the data processing device 12 may also 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 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0144] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0145] The data generation model 58 is a so-called generative AI. An example of a 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 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0146] 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 performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset terminal 314, but may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset terminal 314. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the headset terminal 314 or an external device, and the headset terminal 314 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0147] Each of the multiple elements described above, including the reception unit, generation unit, editing unit, and sales unit, is implemented by, for example, at least one of the headset terminal 314 and the data processing unit 12. For example, the reception unit is implemented by the microphone 238 of the headset terminal 314, allowing parents to input the theme and characters of the picture book by voice. The generation unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12, which generates images and text for the picture book using a generation AI. The editing unit is implemented by, for example, the control unit 46A of the headset terminal 314, which allows editing and confirmation of the generated picture book. The sales unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12, which provides the function of selling the completed picture book. The correspondence between each unit and the devices and control units is not limited to the examples described above, and various changes are possible.

[0148] [Fourth Embodiment] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0149] As shown in Figure 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.

[0150] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0151] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0152] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0153] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS image sensor or CCD image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0154] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0155] The controlled 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 robot 414's emotions can be expressed by controlling these motors. The robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0156] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0157] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0158] Storage 32 stores the data generation model 58 and the 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 emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0159] In robot 414, specific processing is performed by processor 46. A specific program 60 is stored in storage 50. Processor 46 reads the specific program 60 from storage 50 and executes it on RAM 48. The specific processing is achieved by processor 46 acting as a control unit 46A according to the specific program 60 executed on RAM 48. Robot 414 also has data generation model 58 and emotion identification model 59, similar to those of the robot, and can perform processing similar to that of the specific processing unit 290 using these models.

[0160] Furthermore, other devices besides the data processing device 12 may also 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 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0161] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0162] The data generation model 58 is a so-called generative AI. An example of a 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 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0163] 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 performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but it may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the robot 414 or an external device, and the robot 414 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0164] Each of the multiple elements described above, including the reception unit, generation unit, editing unit, and sales unit, is implemented by, for example, at least one of the robot 414 and the data processing unit 12. For example, the reception unit is implemented by the microphone 238 of the robot 414, allowing parents to input the theme and characters of the picture book by voice. The generation unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12, which generates images and text for the picture book using a generation AI. The editing unit is implemented by, for example, the control unit 46A of the robot 414, which can edit and review the generated picture book. The sales unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12, which provides the function of selling the completed picture book. The correspondence between each unit and the devices and control units is not limited to the examples described above, and various changes are possible.

[0165] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0166] Figure 9 shows the emotion map 400, in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0167] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0168] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0169] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, and motorcycles, emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated based, for example, on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0170] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0171] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0172] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing method for the specific process may be used, which includes computer 22 and multiple other computers.

[0173] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0174] 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.

[0175] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0176] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0177] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0178] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0179] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0180] Furthermore, although the above-described examples were divided into four embodiments, some or all of these embodiments may be combined. Also, the smart device 14, smart glasses 214, headset terminal 314, and robot 414 are just examples, and they may be combined, or other devices may be used. Also, although the above-described examples were divided into two embodiments, Embodiment 1 and Embodiment 2, these may be combined.

[0181] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and other things that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0182] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0183] (Note 1) The reception desk accepts the information entered by the parents, A generation unit generates images and text for a picture book based on the information received by the reception unit, The editing department edits and checks the picture books generated by the generation unit, It includes a sales department that sells the completed picture books. A system characterized by the following features. (Note 2) The generating unit is Generates appropriate images and text based on the entered theme and characters. The system described in Appendix 1, characterized by the features described herein. (Note 3) The aforementioned editorial department, Review the generated images and text, and make corrections as needed. The system described in Appendix 1, characterized by the features described herein. (Note 4) The aforementioned editorial department, You can change the order of pages or insert additional images or text. The system described in Appendix 1, characterized by the features described herein. (Note 5) The aforementioned sales department, It provides a function to print and sell completed picture books. The system described in Appendix 1, characterized by the features described herein. (Note 6) The aforementioned sales department, We provide a function to sell completed picture books as digital data. The system described in Appendix 1, characterized by the features described herein. (Note 7) The aforementioned reception unit is We estimate the parents' emotions and adjust the input information processing method based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 8) The aforementioned reception unit is We analyze parents' past input history and suggest the optimal input method. The system described in Appendix 1, characterized by the features described herein. (Note 9) The aforementioned reception unit is When receiving input information, filtering is performed based on the parents' current living situation and areas of interest. The system described in Appendix 1, characterized by the features described herein. (Note 10) The aforementioned reception unit is The system estimates the parents' emotions and prioritizes input information based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 11) The aforementioned reception unit is When receiving input information, the system prioritizes receiving information that is highly relevant, taking into account the parents' geographical location. The system described in Appendix 1, characterized by the features described herein. (Note 12) The aforementioned reception unit is When receiving input information, the system analyzes the parents' social media activity and collects relevant information. The system described in Appendix 1, characterized by the features described herein. (Note 13) The generating unit is It estimates the parents' emotions and adjusts the way images and text are expressed based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 14) The generating unit is During generation, the generated content is adjusted based on the level of detail of the entered theme and characters. The system described in Appendix 1, characterized by the features described herein. (Note 15) The generating unit is During generation, a generation algorithm is applied according to different genres and styles. The system described in Appendix 1, characterized by the features described herein. (Note 16) The generating unit is It estimates the parents' emotions and adjusts the length of the generated images and text based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 17) The generating unit is During generation, the priority of the generated content is determined based on when the input information was submitted. The system described in Appendix 1, characterized by the features described herein. (Note 18) The generating unit is During generation, the generated content is adjusted by referring to relevant past generation data. The system described in Appendix 1, characterized by the features described herein. (Note 19) The aforementioned editorial department, It estimates the parents' emotions and adjusts the editing interface based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 20) The aforementioned editorial department, During editing, adjust the level of detail based on the importance of the generated images and text. The system described in Appendix 1, characterized by the features described herein. (Note 21) The aforementioned editorial department, To improve editing flexibility, we offer different editing tools and features during the editing process. The system described in Appendix 1, characterized by the features described herein. (Note 22) The aforementioned editorial department, We estimate the parents' emotions and determine editing priorities based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 23) The aforementioned editorial department, During editing, we refer to the parent's past editing history to suggest the most suitable editing method. The system described in Appendix 1, characterized by the features described herein. (Note 24) The aforementioned editorial department, During editing, the system provides an optimal editing interface that takes into account the parent's device information. The system described in Appendix 1, characterized by the features described herein. (Note 25) The aforementioned sales department, We estimate the parents' emotions and adjust the sales process based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 26) The aforementioned sales department, At the time of sale, the most suitable sales channel will be selected based on the content of the completed picture book. The system described in Appendix 1, characterized by the features described herein. (Note 27) The aforementioned sales department, Adjust sales strategies according to different sales formats at the time of sale. The system described in Appendix 1, characterized by the features described herein. (Note 28) The aforementioned sales department, We estimate the parents' emotions and determine sales priorities based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 29) The aforementioned sales department, When selling, we select the most suitable sales method by taking into account the parents' geographical location information. The system described in Appendix 1, characterized by the features described herein. (Note 30) The aforementioned sales department, We analyze parents' social media activity during sales and propose sales strategies. The system described in Appendix 1, characterized by the features described herein. [Explanation of symbols]

[0184] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots

Claims

1. The reception desk accepts the information entered by the parents, A generation unit generates images and text for a picture book based on the information received by the reception unit, An editorial department edits and reviews the picture books generated by the aforementioned generation unit, It includes a sales department that sells the completed picture books. A system characterized by the following features.

2. The generating unit is Generates appropriate images and text based on the entered theme and characters. The system according to feature 1.

3. The aforementioned editorial department, Review the generated images and text, and make corrections as needed. The system according to feature 1.

4. The aforementioned editorial department, You can change the order of pages or insert additional images or text. The system according to feature 1.

5. The aforementioned sales department, It provides a function to print and sell completed picture books. The system according to feature 1.

6. The aforementioned sales department, We provide a function to sell completed picture books as digital data. The system according to feature 1.

7. The aforementioned reception unit is We estimate the parents' emotions and adjust the input information processing method based on those estimated emotions. The system according to feature 1.

8. The aforementioned reception unit is We analyze parents' past input history and suggest the optimal input method. The system according to feature 1.

9. The aforementioned reception unit is When receiving input information, filtering is performed based on the parents' current living situation and areas of interest. The system according to feature 1.

10. The aforementioned reception unit is The system estimates the parents' emotions and prioritizes input information based on those estimated emotions. The system according to feature 1.

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