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A Critique of the Attentional Window Account of Capture Failures.
Gaspelin, Nicholas; Egeth, Howard E; Luck, Steven J.
Afiliação
  • Gaspelin N; Department of Psychology, State University of New York at Binghamton, US.
  • Egeth HE; Department of Psychological and Brain Sciences, Johns Hopkins University, US.
  • Luck SJ; Center for Mind and Brain, University of California, Davis, US.
J Cogn ; 6(1): 39, 2023.
Article em En | MEDLINE | ID: mdl-37426056
ABSTRACT
There has been a lengthy debate about whether salient stimuli have the power to automatically capture attention, even when entirely task irrelevant. Theeuwes (2022) has suggested that an attentional window account could explain why capture is observed in some studies, but not others. According to this account, when search is difficult, participants narrow their attentional window, and this prevents the salient distractor from generating a saliency signal. In turn, this causes the salient distractor to fail to capture attention. In the present commentary, we describe two major problems with this account. First, the attentional window account proposes that attention must be focused so narrowly that featural information from the salient distractor will be filtered prior to saliency computations. However, many previous studies observing no capture provided evidence that featural processing was sufficiently detailed to guide attention toward the target shape. This indicates that the attentional window was sufficiently broad to allow featural processing. Second, the attentional window account proposes that capture should occur more readily in easy search tasks than difficult search tasks. We review previous studies that violate this basic prediction of the attentional window account. A more parsimonious account of the data is that control over feature processing can be exerted proactively to prevent capture, at least under certain conditions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Cogn Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Cogn Ano de publicação: 2023 Tipo de documento: Article