• DocumentCode
    1312888
  • Title

    Visual Analytics Methodology for Eye Movement Studies

  • Author

    Andrienko, Gennady ; Andrienko, Natalia ; Burch, Michael ; Weiskopf, Daniel

  • Volume
    18
  • Issue
    12
  • fYear
    2012
  • Firstpage
    2889
  • Lastpage
    2898
  • Abstract
    Eye movement analysis is gaining popularity as a tool for evaluation of visual displays and interfaces. However, the existing methods and tools for analyzing eye movements and scanpaths are limited in terms of the tasks they can support and effectiveness for large data and data with high variation. We have performed an extensive empirical evaluation of a broad range of visual analytics methods used in analysis of geographic movement data. The methods have been tested for the applicability to eye tracking data and the capability to extract useful knowledge about users´ viewing behaviors. This allowed us to select the suitable methods and match them to possible analysis tasks they can support. The paper describes how the methods work in application to eye tracking data and provides guidelines for method selection depending on the analysis tasks.
  • Keywords
    data visualisation; eye; knowledge acquisition; user interfaces; empirical evaluation; eye movement analysis; eye movement study; eye tracking data; geographic movement data; knowledge extraction; scanpaths; task analysis; viewing behaviors; visual analytics methodology; visual displays evaluation; visual interfaces; Data visualization; Eye; Standards; Tracking; Trajectory; Visual analytics; Visual analytics; eye tracking; movement data; trajectory analysis;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2012.276
  • Filename
    6327295