Visual exploration of eye movement data using the space-time-cube

  • Authors:
  • Xia Li;Arzu Çöltekin;Menno-Jan Kraak

  • Affiliations:
  • ITC, University of Twente, Enschede, The Netherlands and College of the Earth Science and Resource, Chang'an University, Xi'an, China;Department of Geography, University of Zurich, Zurich, Switzerland;ITC, University of Twente, Enschede, The Netherlands

  • Venue:
  • GIScience'10 Proceedings of the 6th international conference on Geographic information science
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

Eye movement recordings produce large quantities of spatiotemporal data, and are more and more frequently used as an aid to gain further insight into human thinking in usability studies in GIScience domain among others. After reviewing some common visualization methods for eye movement data, the limitations of these methods are discussed. This paper proposes an approach that enables the use of the Space-Time-Cube (STC) for representation of eye movement recordings. Via interactive functions in the STC, spatio-temporal patterns in eye movement data could be analyzed. A case study is presented according to proposed solutions for eye movement data analysis. Finally, the advantages and limitations of using the STC to visually analyze eye movement recordings are summarized and discussed.