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Abstract
For a long time, eye tracking has been thought of as a promising method for usability testing. During the last couple of years, eye tracking has finally started to live up to these expectations, at least in terms of its use in usability laboratories. We know that the user’s gaze path can reveal usability issues that would otherwise go unnoticed, but a common understanding of how best to make use of eye movement data has not been reached. Many usability practitioners seem to have intuitively started to use gaze path replays to stimulate recall for retrospective walk through of the usability test. We review the research on thinkaloud protocols in usability testing and the use of eye tracking in the context of usability evaluation. We also report our own experiment in which we compared the standard, concurrent think-aloud method with the gaze path stimulated retrospective think-aloud method. Our results suggest that the gaze path stimulated retrospective think-aloud method produces more verbal data, and that the data are more informative and of better quality as the drawbacks of concurrent think-aloud have been avoided.
Highlights
Eye tracking is an increasingly popular method in usability evaluation (e.g. Bojko, 2006)
By presenting the playback with an overlaid gaze path, we hoped to get the same information from the user that we would get with the concurrent think-aloud method
Using heat maps to get an overview of the data loses information of the gaze path
Summary
Eye tracking is an increasingly popular method in usability evaluation (e.g. Bojko, 2006). Eye tracking is an increasingly popular method in usability evaluation It has not been as fruitful as one could expect (Jacob & Karn, 2003), and a systematic methodology for the use of eye trackers in usability evaluation has not emerged. A distinctive area on a heat map is often interpreted as meaning that the area was interesting. It attracted the user’s attention, and the information in that area is assumed to be known to the user. A conclusion is that the data recorded by eye tracking seems to call for the user’s interpretation
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