Eye Movements Show Optimal Average Anticipation with Natural Dynamic Scenes

Eleonora Vig; Michael Dorr; Thomas Martinetz; Erhardt Barth

doi:10.1007/s12559-010-9061-4

Cognitive Computation

March 2011, Volume 3, Issue 1, pp 79–88

Eye Movements Show Optimal Average Anticipation with Natural Dynamic Scenes

Authors
Authors and affiliations

Eleonora VigEmail author
Michael Dorr
Thomas Martinetz
Erhardt Barth

Article

First Online:: 14 August 2010

Received:: 28 April 2010
Accepted:: 28 July 2010

DOI: 10.1007/s12559-010-9061-4

Cite this article as:: Vig, E., Dorr, M., Martinetz, T. et al. Cogn Comput (2011) 3: 79. doi:10.1007/s12559-010-9061-4

3 Citations

Abstract

A less studied component of gaze allocation in dynamic real-world scenes is the time lag of eye movements in responding to dynamic attention-capturing events. Despite the vast amount of research on anticipatory gaze behaviour in natural situations, such as action execution and observation, little is known about the predictive nature of eye movements when viewing different types of natural or realistic scene sequences. In the present study, we quantify the degree of anticipation during the free viewing of dynamic natural scenes. The cross-correlation analysis of image-based saliency maps with an empirical saliency measure derived from eye movement data reveals the existence of predictive mechanisms responsible for a near-zero average lag between dynamic changes of the environment and the responding eye movements. We also show that the degree of anticipation is reduced when moving away from natural scenes by introducing camera motion, jump cuts, and film-editing.

Keywords

Eye movements Anticipatory gaze behaviour Natural dynamic scenes Saliency maps

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Authors and Affiliations

Eleonora Vig
- 1
Email author
Michael Dorr
- 1
- 2
Thomas Martinetz
- 1
Erhardt Barth
- 1

1.Institute for Neuro- and BioinformaticsUniversity of LübeckLübeckGermany
2.Schepens Eye Research Institute, Department of OphthalmologyHarvard Medical SchoolBostonUSA

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Eye Movements Show Optimal Average Anticipation with Natural Dynamic Scenes

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