The use of eye movements in human-computer interaction techniques: what you look at is what you get
ACM Transactions on Information Systems (TOIS) - Special issue on computer—human interaction
Eye tracking in web search tasks: design implications
ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
The determinants of web page viewing behavior: an eye-tracking study
Proceedings of the 2004 symposium on Eye tracking research & applications
Region-based visual attention analysis with its application in image browsing on small displays
Proceedings of the 15th international conference on Multimedia
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
Eye gaze tracking techniques for interactive applications
Computer Vision and Image Understanding - Special issue on eye detection and tracking
Computers in Human Behavior
Shared visual attention in collaborative programming: a descriptive analysis
Proceedings of the 2010 ICSE Workshop on Cooperative and Human Aspects of Software Engineering
How different information types affect viewer's attention on internet advertising
Computers in Human Behavior
How and why pop-ups don't work: Pop-up prompted eye movements, user affect and decision making
Computers in Human Behavior
Proceedings of the Symposium on Eye Tracking Research and Applications
International Journal of Human-Computer Studies
Online ad banners: the effects of goal orientation and content congruence on memory
CHI '13 Extended Abstracts on Human Factors in Computing Systems
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This study investigates how e-consumers perceive online pictures of women's handbags, whether they are motivated to observe specific parts of the picture, and the sequence of their fixations on each handbag areas. The author conducted a task-free eye-tracking experiment in which 33 female participants look at 74 randomly displayed pictures of handbags. Seven types of attention-based regions of interests (ROIs) were coded for data analyses. Based on statistical analysis, the data yielded the following findings: (1) the main body ROI first attracts the attention of the participants; (2) the handle ROI receives the most attention; (3) the featured area ROI has the greatest capacity to hold attention; and (4) the handle and strap ROIs have a stronger visual attraction than any other ROI. This study provides eye-tracking evidence that may be applied to future empirical research and the theory construction of visual behavior in consumers.