Eye fixation metrics for large scale evaluation and comparison of information visualizations

Plot the fixations of a single observer for demonstration purposes
We plot the fixations of a single observer for demonstration purposes, to visually depict a few key terms used throughout this manuscript. (a) The images we use are labeled with AOIs (Areas of Interest), which are elements like the title, axes, and legend. (b) Fixations are the dis- crete locations that an observer’s eyes have landed on at some point during the viewing episode. (c) Multiple consecutive fixations that land on the same AOIs of an image can be further clustered into gazes. The size of the gaze marker is proportional to the number of fixations making up the gaze, with the marker centered at the mean of those fixation locations. (d) A scanpath is the se- quence of fixations made. Here, to denote the temporal ordering, fixations are connected by lines, numerically labeled, and colored such that the earliest are in red and the latest in yellow.
Abstract
An observer's eye movements are often informative about how the observer interacts with and processes a visual stimulus. Here, we are specifically interested in what eye movements reveal about how the content of information visualizations is processed. Conversely, by pooling over many observers’ worth of eye movements, what can we learn about the general effectiveness of different visualizations and the underlying design principles employed? The contribution of this manuscript is to consider these questions at a large data scale, with thousands of eye fixations on hundreds of diverse information visualizations. We survey existing methods and metrics for collective eye movement analysis, and consider what each can tell us about the overall effectiveness of different information visualizations and designs at this large data scale.
Materials
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Authors
Zoya Bylinskii
Nam Wook Kim
Hanspeter Pfister
Aude Oliva
Citation
Thumbnail image for publication titled: Eye fixation metrics for large scale evaluation and comparison of information visualizations
Eye fixation metrics for large scale evaluation and comparison of information visualizations

Zoya Bylinskii, Michelle A. Borkin, Nam Wook Kim, Hanspeter Pfister, and Aude Oliva. Workshop on Eye Tracking and Visualization—ETVIS. 2015. DOI: 10.1007/978-3-319-47024-5_14

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