Analysing the spatial dimension of eye movement data using a visual analytic approach

Authors:
Kristien Ooms;Gennady Andrienko;Natalia Andrienko;Philippe De Maeyer;Veerle Fack
Affiliations:
Ghent University, Department of Geography, Krijgslaan 281 S8, B-9000 Ghent, Belgium;Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Schloss Birlinghoven, 53754 Sankt Augustin, Germany;Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Schloss Birlinghoven, 53754 Sankt Augustin, Germany;Ghent University, Department of Geography, Krijgslaan 281 S8, B-9000 Ghent, Belgium;Ghent University, Department of Applied Mathematics and Computer Science, Krijgslaan 281 S9, B-9000 Ghent, Belgium
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

Citing 3
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Abstract

Conventional analyses on eye movement data only take into account eye movement metrics, such as the number or the duration of fixations and length of the scanpaths, on which statistical analysis is performed for detecting significant differences. However, the spatial dimension in the eye movements is neglected, which is an essential element when investigating the design of maps. The study described in this paper uses a visual analytics software package, the Visual Analytics Toolkit, to analyse the eye movement data. Selection, simplification and aggregation functions are applied to filter out meaningful subsets of the data to be able to recognise structures in the movement data. Visualising and analysing these patterns provides essential insights in the user's search strategies while working on a (n interactive) map.