Visual Analytics Methodology for Eye Movement Studies

Paper by Gennady Andrienko, Natalia Andrienko, Michael Burch, Daniel Weiskopf
IEEE Transactions on Visualization and Computer Graphics
(Proceedings IEEE VAST 2012),
vol. 18(12), pp.???, Dec. 2012 (accepted)

Methods that have not been included in the paper

From about 30 generic methods relevant to movement data [1], 23 method realizations were available for the study and have been tested. From these, 6 methods have been found ineffective and the rest judged as useful. Here we list the 6 methods that were not included in the paper as being ineffective or insufficiently effective for analyzing eye movement data.


The methods listed in this document have not been recommended for use in eye movement studies not because they are inapplicable to eye movement data. As the examples show, all methods are applicable, but they either suffer from visual clutter more than the methods that were selected, or do not reveal clear patterns, or are difficult to interpret.


  1. Gennady Andrienko, Natalia Andrienko, Peter Bak, Daniel Keim, Slava Kisilevich, Stefan Wrobel
    A Conceptual Framework and Taxonomy of Techniques for Analyzing Movement
    Journal of Visual Languages and Computing, 2011, v.22 (3), pp.213-232
    pre-print, published version:
  2. Gennady Andrienko, Natalia Andrienko, Peter Bak, Sebastian Bremm, Daniel Keim, Tatiana von Landesberger, Christian Pölitz, Tobias Schreck
    A Framework for Using Self-Organizing Maps to Analyze Spatio-Temporal Patterns, Exemplified by Analysis of Mobile Phone Usage
    Journal of Location Based Services, 2010, v.4 (3/4), pp. 200-221
    pre-print; published version:
  3. S.Bremm, T. von Landesberger, G.Andrienko, N.Andrienko, and T.Schreck
    Interactive Analysis of Object Group Changes over Time
    International Workshop on Visual Analytics (EuroVA 2011)
    Proceedings, EuroGraphics, pp.41-44
    published version: