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Visual exploration of eye movement data using the Space-Time-Cube


Li, X; Coltekin, Arzu; Kraak, M-J (2010). Visual exploration of eye movement data using the Space-Time-Cube. In: Fabrikant, Sara I; Reichenbacher, Tumasch; van Kreveld, M; Schlieder, C. Geographic Information Science, 6th International Conference, GIScience 2010, Zurich, Switzerland, September 14-17, 2010. Proceedings. Berlin: Springer Verlag, 295-309.

Abstract

Eye movement recordings produce large quantities of spatio- temporal 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, spatiotemporal 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.

Abstract

Eye movement recordings produce large quantities of spatio- temporal 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, spatiotemporal 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.

Citations

15 citations in Web of Science®
9 citations in Scopus®
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Additional indexing

Item Type:Book Section, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:2010
Deposited On:29 Dec 2010 16:39
Last Modified:05 Apr 2016 14:25
Publisher:Springer Verlag
Series Name:Lecture Notes in Computer Science
Number:6292
ISSN:0302-9743
ISBN:978-3-642-15299-3
Publisher DOI:https://doi.org/10.1007/978-3-642-15300-6_21

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