Issue No. 12 - Dec. (2012 vol. 18)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2012.276
M. Burch , Univ. Stuttgart, Stuttgart, Germany
D. Weiskopf , Univ. Stuttgart, Stuttgart, Germany
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.
user interfaces, data visualisation, eye, knowledge acquisition, task analysis, visual analytics methodology, eye movement study, eye movement analysis, visual displays evaluation, visual interfaces, scanpaths, empirical evaluation, geographic movement data, eye tracking data, knowledge extraction, viewing behaviors, Trajectory, Tracking, Visual analytics, Data visualization, Standards, Eye, trajectory analysis, Visual analytics, eye tracking, movement data
D. Weiskopf, M. Burch, N. Andrienko and G. Andrienko, "Visual Analytics Methodology for Eye Movement Studies," in IEEE Transactions on Visualization & Computer Graphics, vol. 18, no. , pp. 2889-2898, 2012.