Tradeoffs in displaying peripheral information
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Designing online banner advertisements: should we animate?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Doing Business on the Internet: Opportunities and Pitfalls
Doing Business on the Internet: Opportunities and Pitfalls
Moticons: detection, distraction and task
International Journal of Human-Computer Studies - Notification user interfaces
International Journal of Human-Computer Studies - Notification user interfaces
Eye-tracking analysis of user behavior in WWW search
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Location location location: viewing patterns on WWW pages
Proceedings of the 2006 symposium on Eye tracking research & applications
The influence of web browsing experience on web-viewing behavior
Proceedings of the 2006 symposium on Eye tracking research & applications
High-cost banner blindness: Ads increase perceived workload, hinder visual search, and are forgotten
ACM Transactions on Computer-Human Interaction (TOCHI)
A minimal model for predicting visual search in human-computer interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Universal Access in the Information Society
Eye-mouse coordination patterns on web search results pages
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Modeling information navigation: implications for information architecture
Human-Computer Interaction
SNIF-ACT: a cognitive model of user navigation on the world wide web
Human-Computer Interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Audio presentation of auto-suggest lists
Proceedings of the 2009 International Cross-Disciplinary Conference on Web Accessibililty (W4A)
Generation Y, web design, and eye tracking
International Journal of Human-Computer Studies
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Understanding users in the wild
Proceedings of the 10th International Cross-Disciplinary Conference on Web Accessibility
Hi-index | 0.00 |
Dynamic micro-content—interactive or updating widgets and features—is now widely used on the Web, but there is little understanding of how people allocate attention to it. In this article we present the results of an eye-tracking investigation examining how the nature of dynamic micro-content influences whether or not the user views it. We propose and validate the Dynamic Update Viewing-likelihood (DUV) model, a CHi-squared Automatic Interaction Detector (CHAID) model that predicts with around 80% accuracy whether users view dynamic updates as a function of how they are initiated, their size, and their duration. The model is constructed with data from live Web sites and does not rely on knowledge of the user's task to make its predictions, giving it a high level of external validity. We discuss one example of its application: informing how dynamic content should be presented in audio via assistive technology for people with visual impairments.