People often look for objects in their immediate environment, a behaviour known as visual search. Most of the visual signals used during search come from peripheral vision, outside …
Abstract Feature Integration Theory (FIT) set out the groundwork for much of the work in visual cognition since its publication. One of the most important legacies of this theory has …
Efficient searches are guided by target-distractor distinctiveness: the greater the distinctiveness, the faster the search. Previous research showed that when the target and …
Temporal attention, the prioritization of information at a specific point in time, improves visual performance, but it is unknown whether it does so to the same extent across the visual field …
Abstract Objects in a scene can be distinct from one another along a multitude of visual attributes, such as color and shape, and the more distinct an object is from its surroundings …
Performance in visual search tasks is frequently summarised by “search slopes”-the additional cost in reaction time for each additional distractor. While search tasks with a …
Observers can learn complex statistical properties of visual ensembles, such as their probability distributions. Even though ensemble encoding is considered critical for …
Abstract Objects differ from one another along a multitude of visual features. The more distinct an object is from other objects in its surroundings, the easier it is to find it. However, it …
The linear separability effect refers to a benefit in search performance observed in a feature- search task, where target and distractor features vary along a continuous feature dimension …