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注意力的捕获与控制

Attentional Capture and Control.

作者信息

Theeuwes Jan

机构信息

William James Center for Research, ISPA-Instituto Universitario, Lisbon, Portugal.

Institute Brain and Behaviour Amsterdam (iBBA), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; email:

出版信息

Annu Rev Psychol. 2025 Jan;76(1):251-273. doi: 10.1146/annurev-psych-011624-025340. Epub 2024 Dec 3.

DOI:10.1146/annurev-psych-011624-025340
PMID:39401852
Abstract

The current review presents an integrated tripartite framework for understanding attentional control, emphasizing the interaction and competition among top-down, bottom-up, and selection-history influences. It focuses on attentional capture, which refers to conditions in which salient objects or events receive attentional priority even when they are inconsistent with the goals, tasks, and intentions of the observer. The review describes which components of the tripartite framework are in play when distraction by salient objects is prevented and the conditions in which there is no control over the occurrence of attentional capture. It then concludes that attentional capture can be controlled in a proactive way mainly by implicit statistical learning mechanisms associated with selection history. Current and lingering controversies regarding the control of attentional capture are also discussed.

摘要

本综述提出了一个用于理解注意力控制的综合三方框架,强调自上而下、自下而上和选择历史影响之间的相互作用和竞争。它聚焦于注意力捕获,即指即使突出的物体或事件与观察者的目标、任务和意图不一致时,它们仍会获得注意力优先的情况。该综述描述了在防止被突出物体分散注意力时三方框架的哪些组成部分在起作用,以及在哪些条件下无法控制注意力捕获的发生。然后得出结论,注意力捕获主要可以通过与选择历史相关的内隐统计学习机制以一种主动的方式得到控制。还讨论了当前关于注意力捕获控制的持续争议。

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Learning Modulates Early Encephalographic Responses to Distracting Stimuli: A Combined SSVEP and ERP Study.学习调节早期脑电图对干扰刺激的反应:一项稳态视觉诱发电位和事件相关电位的联合研究。
J Neurosci. 2025 May 21;45(21):e1973242025. doi: 10.1523/JNEUROSCI.1973-24.2025.
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Coarse matching was sufficient to capture attention by working memory representations unless matching features with the target.
粗略匹配足以通过工作记忆表征来吸引注意力,除非与目标匹配特征。 (此译文似乎不太通顺,可能原文存在一些表述不太清晰准确的问题,但按照要求严格翻译了。)
BMC Psychol. 2025 Mar 3;13(1):191. doi: 10.1186/s40359-025-02522-5.
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Neural mechanisms of learned suppression uncovered by probing the hidden attentional priority map.通过探测隐藏的注意力优先级图谱揭示的习得性抑制的神经机制。
Elife. 2025 Feb 26;13:RP98304. doi: 10.7554/eLife.98304.