Eye Fixation Metrics for Large Scale Evaluation and Comparison of Information Visualizations

  • Zoya Bylinskii
  • Michelle A. Borkin
  • Nam Wook Kim
  • Hanspeter Pfister
  • Aude Oliva
Conference paper
Part of the Mathematics and Visualization book series (MATHVISUAL)

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.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Zoya Bylinskii
    • 1
  • Michelle A. Borkin
    • 2
  • Nam Wook Kim
    • 3
  • Hanspeter Pfister
    • 3
  • Aude Oliva
    • 1
  1. 1.Computer Science and Artificial Intelligence LabMassachusetts Institute of TechnologyBostonUSA
  2. 2.College of Computer and Information ScienceNortheastern UniversityBostonUSA
  3. 3.School of Engineering & Applied SciencesHarvard UniversityBostonUSA

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