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

 
: Ooms, K.; Andrienko, Gennady; Andrienko, N.; Maeyer, P. de; Fack, V.

:
Preprint urn:nbn:de:0011-n-1894761 (3.1 MByte PDF)
MD5 Fingerprint: f2311aa8e5246f9faaa211001a8117f6
Erstellt am: 22.3.2013


Expert Systems with Applications 39 (2012), Nr.1, S.1324-1332
ISSN: 0957-4174
Englisch
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IAIS ()
map design; visual analytics; eye movement; mental map

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.

: http://publica.fraunhofer.de/dokumente/N-189476.html