NDLI: Evaluating visual analytics with eye tracking

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Evaluating visual analytics with eye tracking

Content Provider	ACM Digital Library
Author	Fisher, Brian Burch, Michael Kurzhals, Kuno Weiskopf, Daniel
Abstract	The application of eye tracking for the evaluation of humans' viewing behavior is a common approach in psychological research. So far, the use of this technique for the evaluation of visual analytics and visualization is less prominent. We investigate recent scientific publications from the main visualization and visual analytics conferences and journals that include an evaluation by eye tracking. Furthermore, we provide an overview of evaluation goals that can be achieved by eye tracking and state-of-the-art analysis techniques for eye tracking data. Ideally, visual analytics leads to a mixed-initiative cognitive system where the mechanism of distribution is the interaction of the user with visualization environments. Therefore, we also include a discussion of cognitive approaches and models to include the user in the evaluation process. Based on our review of the current use of eye tracking evaluation in our field and the cognitive theory, we propose directions of future research on evaluation methodology, leading to the grand challenge of developing an evaluation approach to the mixed-initiative cognitive system of visual analytics.
Starting Page	61
Ending Page	69
Page Count	9
File Format	PDF
ISBN	9781450332095
DOI	10.1145/2669557.2669560
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-11-10
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Visual cognition Evaluation Visualization Evaluation methods Visual analytics Eye tracking
Content Type	Text
Resource Type	Article

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