Salience, Perceptual Dimensions, and the Diversion of Attention.

Parallel and automatic processing is evidenced in visual search by what is commonly called popout. An object of search (a target) that differs widely from all other display objects on some simple visual dimension is commonly called a singleton; an example is search for a red circle when all other displayed circles are green. A singleton attracts attention to the degree that it is salient, and highly salient singletons produce search that is almost independent of display size. The present research examines the way this attraction of attention can be diverted by the presence of singletons on 1 or 2 nontarget perceptual dimensions (e.g., search for a red circle among green ones, when one of the green circles is larger than the others, and another might be green but square). The results establish that distraction occurs rarely but strongly, that 2 distractors produce more distraction than 1, and that the degree of distraction depends not only on salience but also on dimension similarity. These findings occurred in 2 different tasks: The observer either reported the orientation of a Gabor embedded in the target or reported the presence and absence of the target.

[1]  C. Eriksen,et al.  Effects of noise letters upon the identification of a target letter in a nonsearch task , 1974 .

[2]  J. Stroop.  Studies of interference in serial verbal reactions. , 1992 .

[3]  Walter Schneider,et al.  Controlled and Automatic Human Information Processing: 1. Detection, Search, and Attention. , 1977 .

[4]  J. Theeuwes.  Stimulus-driven capture and attentional set: selective search for color and visual abrupt onsets. , 1994, Journal of experimental psychology. Human perception and performance.

[5]  J. Theeuwes.  Exogenous and endogenous control of attention: The effect of visual onsets and offsets , 1991, Perception & psychophysics.

[6]  Dragan Rangelov,et al.  How the speed of motor-response decisions, but not focal-attentional selection, differs as a function of task set and target prevalence , 2012, Proceedings of the National Academy of Sciences.

[7]  G. Sperling,et al.  Episodic theory of the dynamics of spatial attention. , 1995 .

[8]  Andreas Bartels,et al.  Coding and binding of color and form in visual cortex. , 2010, Cerebral cortex.

[9]  G Sperling,et al.  Two motion perception mechanisms revealed through distance-driven reversal of apparent motion. , 1989, Proceedings of the National Academy of Sciences of the United States of America.

[10]  D. Ts'o,et al.  Color processing in macaque striate cortex: relationships to ocular dominance, cytochrome oxidase, and orientation. , 2002, Journal of neurophysiology.

[11]  J. Wolfe,et al.  Guided Search 2.0 A revised model of visual search , 1994, Psychonomic bulletin & review.

[12]  Christof Koch,et al.  A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .

[13]  A. Treisman.  Perceptual grouping and attention in visual search for features and for objects. , 1982, Journal of experimental psychology. Human perception and performance.

[14]  James L. McClelland,et al.  The time course of perceptual choice: the leaky, competing accumulator model. , 2001, Psychological review.

[15]  C. Bundesen.  A theory of visual attention. , 1990, Psychological review.

[16]  Robert M. McPeek,et al.  Saccades require focal attention and are facilitated by a short-term memory system , 1999, Vision Research.

[17]  G. Sperling,et al.  Dynamics of automatic and controlled visual attention. , 1987, Science.

[18]  J. Theeuwes.  Perceptual selectivity for color and form , 1992, Perception & psychophysics.

[19]  Walter Schneider,et al.  Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory. , 1977 .

[20]  Denis Cousineau,et al.  Termination of a visual search with large display size effects. , 2004, Spatial vision.

[21]  Jan Theeuwes,et al.  Context and competition in the capture of visual attention , 2011, Attention, perception & psychophysics.

[22]  Thomas Töllner,et al.  Top-down dimensional weight set determines the capture of visual attention: evidence from the PCN component. , 2012, Cerebral cortex.

[23]  H J Müller,et al.  Visual search for singleton feature targets within and across feature dimensions , 1995, Perception & psychophysics.

[24]  B. Dosher,et al.  The role of attention in the programming of saccades , 1995, Vision Research.

[25]  Amiram Grinvald,et al.  Iso-orientation domains in cat visual cortex are arranged in pinwheel-like patterns , 1991, Nature.

[26]  J. Duncan,et al.  Visual search and stimulus similarity. , 1989, Psychological review.