AbstractEveryday scenes often contain sets of similar objects. Perceptual representations may summarize these with statistical descriptors. After determining the psychological mean of two sizes, we measured thresholds for judging the mean with arrays of 12 circles of heterogeneous sizes. They were close to those for the size of elements in homogeneous arrays and single elements, and were little affected by either exposure duration (50–1000 ms) or memory delays (up to 2s). They were only slightly more accurate within the same distribution than across different distributions (normal, uniform, two-peaks, and homogeneous), confirming that subjects were indeed averaging sizes
This thesis has investigated the apparent ability of the visual system to represent a set of similar...
AbstractWe report results from perceptual judgment, delayed matching to sample and long-term memory ...
International audienceAccording to recent theories, perception relies on summary representations tha...
AbstractThis paper explores some structural constraints on computing the mean sizes of sets of eleme...
A number of studies have investigated how the visual system extracts the average feature-value of an...
We have a remarkable ability to accurately estimate average featural information across groups of ob...
There is mounting evidence that observers rely on statistical summaries of visual information to mai...
AbstractThe perception of ensemble characteristics is often regarded as an antidote to an establishe...
& The term ‘‘size contrast and assimilation’ ’ refers to a large class of geometrical illusions ...
<p>Scene perception is a fundamental aspect of vision. Humans are capable of analyzing behaviorally-...
AbstractA general explanation for the observer’s ability to judge the mean size of simple geometrica...
Symbols are used in scatterplots to encode data in a way that is appropriate for perception through ...
Ensemble perception utilizes patterns in our visual field to quickly and accurately process summary ...
This thesis has investigated the apparent ability of the visual system to represent a set of similar...
Our brains can extract a summary representation of the facial characteristics provided by a group of...
This thesis has investigated the apparent ability of the visual system to represent a set of similar...
AbstractWe report results from perceptual judgment, delayed matching to sample and long-term memory ...
International audienceAccording to recent theories, perception relies on summary representations tha...
AbstractThis paper explores some structural constraints on computing the mean sizes of sets of eleme...
A number of studies have investigated how the visual system extracts the average feature-value of an...
We have a remarkable ability to accurately estimate average featural information across groups of ob...
There is mounting evidence that observers rely on statistical summaries of visual information to mai...
AbstractThe perception of ensemble characteristics is often regarded as an antidote to an establishe...
& The term ‘‘size contrast and assimilation’ ’ refers to a large class of geometrical illusions ...
<p>Scene perception is a fundamental aspect of vision. Humans are capable of analyzing behaviorally-...
AbstractA general explanation for the observer’s ability to judge the mean size of simple geometrica...
Symbols are used in scatterplots to encode data in a way that is appropriate for perception through ...
Ensemble perception utilizes patterns in our visual field to quickly and accurately process summary ...
This thesis has investigated the apparent ability of the visual system to represent a set of similar...
Our brains can extract a summary representation of the facial characteristics provided by a group of...
This thesis has investigated the apparent ability of the visual system to represent a set of similar...
AbstractWe report results from perceptual judgment, delayed matching to sample and long-term memory ...
International audienceAccording to recent theories, perception relies on summary representations tha...