2007
DOI: 10.3758/bf03194124
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The size of an attentional window modulates attentional capture by color singletons

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Cited by 173 publications
(220 citation statements)
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“…For example, attentional capture from peripheral singletons is greater when the task requirements solicit diffuse rather than focused attention (Belopolsky & Theeuwes, 2010;Belopolsky, Zwaan, Theeuwes, & Kramer, 2007; for data slightly incompatible with this explanation, see also Santangelo, Botta, Lupiáñez, & Spence, 2011). Moreover attentional capture from irrelevant colour singletons is greater when the concurrent WM load is high (vs. low; Lavie & de Fockert, 2005).…”
Section: Discussionmentioning
confidence: 81%
“…For example, attentional capture from peripheral singletons is greater when the task requirements solicit diffuse rather than focused attention (Belopolsky & Theeuwes, 2010;Belopolsky, Zwaan, Theeuwes, & Kramer, 2007; for data slightly incompatible with this explanation, see also Santangelo, Botta, Lupiáñez, & Spence, 2011). Moreover attentional capture from irrelevant colour singletons is greater when the concurrent WM load is high (vs. low; Lavie & de Fockert, 2005).…”
Section: Discussionmentioning
confidence: 81%
“…This window account has been supported by several studies. Belopolsky, Zwaan, Theeuwes, and Kramer (2007) showed that an irrelevant color singleton was more likely to attract attention in the diffuse-attention condition than in the focused-attention condition. Furthermore, Proulx and Egeth (2006) showed that as target-nontarget similarity was increased, the salient irrelevant singleton had less impact on search.…”
Section: Methodsmentioning
confidence: 99%
“…Based on the present findings, we considered that the results were best explained by the attentional window hypothesis (Belopolsky, Zwaan, Theeuwes, & Kramer, 2007;Theeuwes, 1994Theeuwes, , 2004, which has been discussed in the Yang et al (2014) to relate attention to the decision making process. Yang et al (2014) manipulated the validity of the exogenous cue in a redundant-target detection task.…”
Section: Decision Processes In Detecting Redundant Targetsmentioning
confidence: 99%