Tools + Demos

Publications that use the eye movement data set from Dorr et al., Variability of eye movements when viewing dynamic natural scenes:

Eleonora Vig, Michael Dorr, and Erhardt Barth. Eye movements show optimal average anticipation with natural dynamic scenes. Cognitive Computation, 2010. (in press)

Eleonora Vig, Michael Dorr, Thomas Martinetz, and Erhardt Barth. A learned saliency predictor for dynamic natural scenes. In Proceedings of the 20th Int. Conference on Artificial Neural Networks - ICANN, Thessaloniki, Greece, 2010. Springer. (in press)

Michael Dorr, Karl R Gegenfurtner, and Erhardt Barth. The contribution of low-level features at the centre of gaze to saccade target selection. Vision Research, 49, 2918-2926, 2009.

Eleonora Vig, Michael Dorr, and Erhardt Barth. Efficient visual coding and the predictability of eye movements on natural videos. Spatial Vision 22(5):397-408, 2009.

Michael Dorr, Eleonora Vig, Karl R Gegenfurtner, Thomas Martinetz, and Erhardt Barth. Eye movement modelling and gaze guidance. In Fourth International Workshop on Human-Computer Conversation, 2008.

Erhardt Barth, Michael Dorr, Martin Böhme, Karl R. Gegenfurtner, and Thomas Martinetz. Guiding the mind's eye: improving communication and vision by external control of the scanpath. In Bernice E. Rogowitz, Thrasyvoulos N. Pappas, and Scott J. Daly, editors, Human Vision and Electronic Imaging, volume 6057 of Proc. SPIE, 2006. Invited contribution for a special session on Eye Movements, Visual Search, and Attention: a Tribute to Larry Stark.

Erhardt Barth, Michael Dorr, Martin Böhme, Karl R Gegenfurtner, and Thomas Martinetz. Guiding eye movements for better communication and augmented vision. In Perception and Interactive Technologies, volume 4021 of Lecture Notes in Artificial Intelligence, pages 1-8. Springer, 2006.

Martin Böhme, Michael Dorr, Christopher Krause, Thomas Martinetz, and Erhardt Barth. Eye movement predictions on natural videos. Neurocomputing, 69(16-18):1996-2004, 2006.