Not logged in.

Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Identifying Reading Patterns with Eye-tracking Visual Analytics
Organization Unit
  • Chia-Kai Yang
  • Andreas Bulling
  • Anke Huckauf
  • Eakta Jain
  • Ralph Radach
  • Daniel Weiskopf
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
ISBN 9781450371353
Page Range 1 - 3
Event Title ETRA '20: 2020 Symposium on Eye Tracking Research and Applications
Event Type conference
Event Location Stuttgart Germany
Event Start Date July 2 - 2020
Event End Date July 5 - 2020
Place of Publication New York, NY, USA
Publisher ACM
Abstract Text Eye-tracking studies can yield insight into patterns of reading strategies, but identifying patterns in eye-tracking visualizations is a cognitively demanding task. My dissertation explores how visual analytics approaches support analysts detecting sequential patterns in the eye tracking data. To demonstrate the effectiveness of our visual analytics, I apply it to the datasets from a series of eye-tracking studies, and gather an empirical understanding about how research articles are read on paper and other media.
Digital Object Identifier 10.1145/3379157.3391994
PDF File Download
Export BibTeX