A vector-based, multidimensional scanpath similarity measure
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
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We present an architectural model for the interaction between top-down, object-based information and bottom-up, spatial-based information in determining visual attention shifts. We focus in particular on how the attentive process can take into account the processing of faces and multiple moving objects. To validate the model, experiments with eye-tracked human subjects are presented and discussed.