Multi-Device Content Preparation for Adaptive Component Delivery
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Solution Overview
Problem
Existing content delivery systems fail to adapt content output to multiple devices with varying capabilities and user interactions, limiting flexibility in content consumption.
Innovation Solution
A method and device that detect multiple devices and their properties to identify subsets for tailored content preparation, transmitting specific components to each device based on device characteristics and user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content is prepared for multiple devices with different capabilities, then content flexibility and user accessibility are improved, but system complexity and processing requirements increase
Solution Approach 1:
The content is divided into multiple components or formats suitable for different devices. The system segments the content delivery process, preparing different versions or formats of content components that can be selectively transmitted to appropriate devices based on their capabilities, thereby managing complexity through structured division.
Solution Approach 2:
The content preparation device is designed to handle multiple device types and content formats universally. It performs multiple functions including detection, identification, selection, and transmission of content components across diverse device platforms, reducing the need for separate specialized systems for each device type.
2Reliability
If content is prepared specifically for each device type, then content optimization and device compatibility are improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary detection of available devices and their properties before content transmission. By identifying device capabilities in advance and pre-selecting appropriate content components, the system avoids time-consuming processing during actual content delivery, as evidenced by the detection and identification steps performed before transmission.
3Adaptability or versatility
If the system detects and identifies device properties for content preparation, then content adaptability is improved, but measurement and detection complexity increase
Solution Approach 1:
The system employs feedback mechanisms where device properties are detected and used to inform subsequent content selection and transmission decisions. The detection results feed back into the identification and selection processes, creating a closed-loop system that continuously adapts content delivery based on detected device characteristics while managing complexity through systematic feedback processing.
Data Source
AI summary
A method for preparing content includes: detecting a plurality of devices; detecting one or more properties in relation to the plurality of devices; identifying a first subset of the plurality of devices in dependence upon one or more of the detected properties, in which a subset of the plurality of devices comprises one or more devices from the plurality of devices; identifying a first set of one or more components of content in dependence upon the first subset of the devices; and transmitting a respective component of the first set of identified components to a respective device of the first subset of the devices for output by the respective device.