How do we find what we are looking for? Even when the desired target is in the current field
of view, we need to search because fundamental limits on visual processing make it …

We live in a rich, three dimensional world with complex arrangements of meaningful objects.
For decades, however, theories of visual attention and perception have been based on …

Visual saliency models have enjoyed a big leap in performance in recent years, thanks to
advances in deep learning and large scale annotated data. Despite enormous effort and …

Applied Attention Theory, Second Edition provides details concerning the relevance of all
aspects of attention to the world beyond the laboratory. Topic application areas include the …

Convolutional neural networks (CNNs) have significantly advanced computational
modelling for saliency prediction. However, accurately simulating the mechanisms of visual …

Sounds in everyday life seldom appear in isolation. Both humans and machines are
constantly flooded with a cacophony of sounds that need to be sorted through and scoured …

What determines where we look? Theories of attentional guidance hold that image features
and task demands govern fixation behavior, while differences between observers are …

The effects of aging on eye movements are well studied in the laboratory. Increased
saccade latencies or decreased smooth-pursuit gain are well established findings. The …

In vision science, a particularly controversial topic is whether and how quickly the semantic
information about objects is available outside foveal vision. Here, we aimed at contributing …

Previous studies have suggested that analysis of eye movements can provide new insights
into the research of features of restorative environments in terms of the Attention Restoration …