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2017 | OriginalPaper | Chapter

Word-Sized Eye-Tracking Visualizations

Authors : Fabian Beck, Tanja Blascheck, Thomas Ertl, Daniel Weiskopf

Published in: Eye Tracking and Visualization

Publisher: Springer International Publishing

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Abstract

In user studies, eye tracking is often used in combination with other recordings, such as think-aloud protocols. However, it is difficult to analyze the eye-tracking data and transcribed recordings together because of missing data alignment and integration. We suggest the use of word-sized eye-tracking visualizations to augment the transcript with important events that occurred concurrently to the transcribed activities. We explore the design space of such graphics by discussing how existing eye-tracking visualizations can be scaled down to word size. The suggested visualizations can optionally be combined with other event-based data such as interaction logs. We demonstrate our concept by a prototypical analysis tool.

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Metadata
Title
Word-Sized Eye-Tracking Visualizations
Authors
Fabian Beck
Tanja Blascheck
Thomas Ertl
Daniel Weiskopf
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-319-47024-5_7

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