Incorporating the properties of peripheral vision into theories of visual search
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 …
search. Most of the visual signals used during search come from peripheral vision, outside …
A theoretical attempt to revive the serial/parallel-search dichotomy
A core distinction in Anne Treisman's feature-integration theory (FIT) is in that between
parallel and serial search. We outline this dichotomy and selectively review the reasons why …
parallel and serial search. We outline this dichotomy and selectively review the reasons why …
A target contrast signal theory of parallel processing in goal-directed search
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 …
visual cognition since its publication. One of the most important legacies of this theory has …
Top-down instructions influence the attentional weight on color and shape dimensions during bidimensional search
Efficient searches are guided by target-distractor distinctiveness: the greater the
distinctiveness, the faster the search. Previous research showed that when the target and …
distinctiveness, the faster the search. Previous research showed that when the target and …
Predicting how color and shape combine in the human visual system to direct attention
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 …
attributes, such as color and shape, and the more distinct an object is from its surroundings …
[HTML][HTML] Bayesian multi-level modelling for predicting single and double feature visual search
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 …
additional cost in reaction time for each additional distractor. While search tasks with a …
Predicting how surface texture and shape combine in the human visual system to direct attention
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 …
distinct an object is from other objects in its surroundings, the easier it is to find it. However, it …
Distractor–distractor interactions in visual search for oriented targets explain the increased difficulty observed in nonlinearly separable conditions.
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 …
search task, where target and distractor features vary along a continuous feature dimension …
Feature similarity is non-linearly related to attentional selection: evidence from visual search and sustained attention tasks
Although many theories of attention highlight the importance of similarity between target and
distractor items for selection, few studies have directly quantified the function underlying this …
distractor items for selection, few studies have directly quantified the function underlying this …
What is the basis of ensemble subset selection?
The visual system can rapidly calculate the ensemble statistics of a set of objects; for
example, people can easily estimate an average size of apples on a tree. To accomplish …
example, people can easily estimate an average size of apples on a tree. To accomplish …