Adaptive Content Review via Device Context Replication
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Solution Overview
Problem
Developing adaptive content that can be effectively reviewed and modified by authors is challenging due to differences in display sizes between the author's and reviewer's devices, leading to difficulties in understanding and appreciating reviewer comments.
Innovation Solution
A system where metadata is generated and associated with reviewer comments, allowing the adaptive content to be displayed on the author's device as it was viewed on the reviewer's device, enabling the author to see the content in the same presentation context, thereby facilitating better understanding of the comments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If adaptive content is displayed on different computing devices with varying display sizes, then the content can be accessed across multiple platforms, but the author cannot accurately assess the content's appearance on the reviewer's device
Solution Approach 1:
The system creates a virtual copy of the reviewer's display context by capturing metadata about the reviewer's device characteristics (display size, resolution, orientation) and replicates this context on the author's device. This allows the author to view the adaptive content as the reviewer would see it, without requiring the author to physically use the same device.
Solution Approach 2:
The system introduces an intermediary layer between the author and the reviewer by using metadata as a mediator. The metadata captures the reviewer's device context and serves as an intermediary representation that allows the author to indirectly experience the reviewer's viewing environment through simulation on the author's device.
2Adaptability or versatility
If reviewers use different computing devices than the author, then more diverse feedback can be obtained, but the author finds it difficult to understand and appreciate the comments
Solution Approach 1:
The system copies the reviewer's device context into metadata that can be transferred to the author's device. When the author views the content through the simulated reviewer context, the layout, sizing, and visual characteristics match what the reviewer experienced, making the comments easier to understand and appreciate in context.
Solution Approach 2:
The system performs preliminary action by capturing and storing the reviewer's device metadata before the author needs to review the content. This pre-prepared contextual information is then applied to the content display on the author's device, ensuring the author sees the content exactly as the reviewer did when providing feedback.
Data Source
AI summary
A content author can create adaptive content, which refers to electronic content that adapts to or changes based on the presentation context of the adaptive content. The presentation context of the adaptive content refers to characteristics of the device displaying or otherwise presenting the adaptive content. The adaptive content can be displayed to reviewers using computing devices with various different characteristics. These reviewers can provide various comments about the adaptive content, and data describing the presentation context of the adaptive content for the computing device used by the reviewer is included in metadata associated with the comment. The comments to the adaptive content are made available to the adaptive content author. When reviewing the comments, the author can select a comment and have the adaptive content displayed to the author using the presentation context of the adaptive content for the device used by the reviewer when the comment was entered.