Ebook Metadata Translation for Multi-Device Output
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Solution Overview
Problem
Current ebook sales strategies limit supplemental content output to devices capable of browsing ebooks, preventing the processing and output of additional content on other devices.
Innovation Solution
An electronic device with modules for acquiring and processing first content, displaying it on a touchscreen, and requesting output processing from a secondary device to produce supplemental content based on metadata, enabling the output of second content on various devices such as 3D printers or robots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If supplemental content is provided only through ebook browsing devices, then device compatibility is maintained, but adaptability to different output devices is limited
Solution Approach 1:
The system enables a single ebook content delivery platform to serve multiple types of output devices (ebook readers, 3D printers, robots, audio players) by implementing a universal metadata structure that describes supplemental content in device-agnostic terms. The server device translates the same metadata into device-specific formats, allowing one system to universally support diverse output devices without requiring separate delivery systems for each device type.
Solution Approach 2:
The server device acts as an intermediary between the ebook content and various output devices. It receives the metadata describing supplemental content, determines which output device is being used, and translates the metadata into appropriate formats for that specific device. This intermediary layer shields the complexity of device-specific requirements from both the content source and the end devices.
2Adaptability or versatility
If supplemental content is processed only on ebook browsing devices, then processing requirements are simplified, but functionality on other devices is restricted
Solution Approach 1:
The system segments the content delivery process into distinct functional modules: (1) metadata generation module that creates device-agnostic content descriptions, (2) device detection module that identifies the output device type, (3) translation module that converts metadata to device-specific formats, and (4) delivery module that sends processed content to the appropriate device. This segmentation allows each module to be developed and maintained independently, reducing overall implementation complexity.
Solution Approach 2:
The system changes the parameters of content representation based on the target device. The same supplemental content is described using different parameters and formats depending on whether the target is an ebook reader (text/display parameters), 3D printer (geometric/manufacturing parameters), robot (control/action parameters), or audio player (audio/sound parameters). This parameter transformation is automated through the metadata translation process.
Data Source
AI summary
According to one embodiment, a device includes a first acquisition processing module, a touchscreen display, a display processing module, a second acquisition processing module, and a request processing module. The first acquisition processing module acquires first content from a first delivery device. The display processing module displays content based on the first content on the touchscreen display. The second acquisition processing module acquires second content from a second delivery device based on data included in the first content, when a predetermined operation is executed for the touchscreen. The request processing module requests an output processing device corresponding to the second content to execute output processing based on the second content.