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Visual Exploration of Eye Movement Data Using the Space-Time-Cube

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Geographic Information Science (GIScience 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6292))

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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, spatio-temporal 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.

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Li, X., Çöltekin, A., Kraak, MJ. (2010). Visual Exploration of Eye Movement Data Using the Space-Time-Cube. In: Fabrikant, S.I., Reichenbacher, T., van Kreveld, M., Schlieder, C. (eds) Geographic Information Science. GIScience 2010. Lecture Notes in Computer Science, vol 6292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15300-6_21

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  • DOI: https://doi.org/10.1007/978-3-642-15300-6_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15299-3

  • Online ISBN: 978-3-642-15300-6

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