AbstractVisual search for a moving target among stationary distractors is more efficient than searching for a stationary target among moving distractors, and searching for a fast target among slow distractors is more efficient than vice versa. This indicates that the ease of search for a target with a particular motion is not determined simply by the difference between target and distractor velocities. We suggest a simple model for predicting ease of search for a unique motion, based upon a quantitative measure of target saliency. Essentially, search will be easier the more the target motion deviates from the general pattern of velocities in the scene. Our model predicts a number of well-known motion search phenomena, and suggests that one ...
Current accounts of attentional capture predict the most salient stimulus to be invariably selected ...
Humans perform visual search fairly efficiently, finding targets within only a few fixations. Data f...
AbstractWe examined target selection for visually guided reaching movements in visual search, in whi...
AbstractVisual search for a moving target among stationary distractors is more efficient than search...
The field of computational saliency modelling has its origins in psychophysical studies of visual se...
The Itti and Koch (Vision Research 40: 1489?1506, 2000) saliency map model has inspired a wealth of ...
Selective Tuning (ST) presents a framework for modeling attention and in this work we show how it pe...
AbstractTo investigate the role of salience in fast visual search, time courses for the detection an...
Searching for an object among distracting objects is a common daily task. These searches differ in e...
Search for a target defined by a conjunction of movement and form (e.g., an X moving up in a display...
Searching for objects is part of our daily life. Generally, this cannot be accomplished without eye ...
Searching for an object among distracting objects is a common daily task. These searches differ in e...
Researchers and practitioners across many fields would benefit from the ability to predict human sea...
Current accounts of attentional capture predict the most salient stimulus to be invariably selected ...
There is a large amount of movements in the environment but only some are relevant to an observer, a...
Current accounts of attentional capture predict the most salient stimulus to be invariably selected ...
Humans perform visual search fairly efficiently, finding targets within only a few fixations. Data f...
AbstractWe examined target selection for visually guided reaching movements in visual search, in whi...
AbstractVisual search for a moving target among stationary distractors is more efficient than search...
The field of computational saliency modelling has its origins in psychophysical studies of visual se...
The Itti and Koch (Vision Research 40: 1489?1506, 2000) saliency map model has inspired a wealth of ...
Selective Tuning (ST) presents a framework for modeling attention and in this work we show how it pe...
AbstractTo investigate the role of salience in fast visual search, time courses for the detection an...
Searching for an object among distracting objects is a common daily task. These searches differ in e...
Search for a target defined by a conjunction of movement and form (e.g., an X moving up in a display...
Searching for objects is part of our daily life. Generally, this cannot be accomplished without eye ...
Searching for an object among distracting objects is a common daily task. These searches differ in e...
Researchers and practitioners across many fields would benefit from the ability to predict human sea...
Current accounts of attentional capture predict the most salient stimulus to be invariably selected ...
There is a large amount of movements in the environment but only some are relevant to an observer, a...
Current accounts of attentional capture predict the most salient stimulus to be invariably selected ...
Humans perform visual search fairly efficiently, finding targets within only a few fixations. Data f...
AbstractWe examined target selection for visually guided reaching movements in visual search, in whi...