Eye tracking evaluation of visual analytics. (October 2016)

• Record Type: Journal Article
• Authors: Kurzhals, Kuno; Fisher, Brian; Burch, Michael; Weiskopf, Daniel
• Is Part Of: Information visualization. Volume 15:Number 4(2016:Oct.)
• Page Start: 340
• Page End: 358
• Publication Date: 2016-10
• Subjects: Eye tracking -- visual analytics -- visualization -- evaluation methods -- visual cognition; Information visualization -- Periodicals; 006.605
• DOI: 10.1177/1473871615609787
• Languages: English
• ISSNs: 1473-8716

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, as well as related research fields 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 the visualization environment. 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 for future research on evaluation methodology, leading to the grand challenge of developing an evaluation approach to the mixed-initiative cognitive system of visual analytics.