Enabling device independent co-browsing through adaptive view points
Journal of Computer and System Sciences
A classification for content adaptation system
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
Automatic mobile content conversion using semantic image analysis
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
A method of selecting and transcoding content for mobile web service
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
An automatic mobile web generation method from PC web using DFS and W-DFS
ICCSA'07 Proceedings of the 2007 international conference on Computational science and Its applications - Volume Part II
Scalable mobile internet servers: selecting useful images from the web for mobile services
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part II
Pre-service and post-transcoding schema for an adaptive PC to mobile web contents transcoding system
EC-Web'06 Proceedings of the 7th international conference on E-Commerce and Web Technologies
Content aware selecting method for reducing the response time of an adaptive mobile web service
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
A survey on content adaptation systems towards energy consumption awareness
Advances in Multimedia
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Existing web-content adaptation engines assume that the task being undertaken is the browsing of the web-pages by a single-user. There are, however, other tasks that necessitate the viewing of web-pages on mobile devices. One such task, which forms the motivation for this paper, is mobile web-based collaboration involving the co-browsing of web-pages from multiple devices. The paper begins by reviewing the considerations taken into account by existing web-content adaptation engines in handling the single-user browsing task. Next, the differences between single-user browsing and co-browsing are discussed and a content adaptation framework proposed based on the concept of shared viewpoint and personal viewpoint. Finally, the effectiveness of the framework is demonstrated through a perceptual experiment.