In the Visual Attention Lab, we study the attentional mechanisms underlying human vision. We are
particularly interested in investigating how attention is controlled for efficient performance of visual
tasks. Our main research paradigms are eye-movement recording and computational data analysis,
including machine learning, modeling, and simulation. The findings resulting from this research can
also inform the construction of computer vision systems and human-computer interfaces.
Director of the Visual Attention Lab
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Farahnaz Ahmed Wick