WebGazeAnalyzer: a system for capturing and analyzing web reading behavior using eye gaze
CHI '05 Extended Abstracts on Human Factors in Computing Systems
High-cost banner blindness: Ads increase perceived workload, hinder visual search, and are forgotten
ACM Transactions on Computer-Human Interaction (TOCHI)
What do you see when you're surfing?: using eye tracking to predict salient regions of web pages
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The good, the bad, and the random: an eye-tracking study of ad quality in web search
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Using gaze patterns to study and predict reading struggles due to distraction
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Size matters (spacing not): 18 points for a dyslexic-friendly Wikipedia
Proceedings of the 10th International Cross-Disciplinary Conference on Web Accessibility
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We present an eye tracking study to measure if and how including pictures - relevant or irrelevant to the text - affects online reading. In a between-subjects design, 82 subjects read a story on a computer screen. The text was accompanied by either: (a) pictures related to the text, (b) pictures unrelated to the text (advertisements), or (c) no pictures. Reading statistics such as reading speed and regressions were computed, as well as measures of picture gazes. When pictures related to the text were replaced with advertisements, we observed a number of significant differences, including speed, regressions, and re-reading.