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Time to stop calling it attentional “capture” and embrace a mechanistic understanding of attentional priority
Visual Cognition ( IF 1.875 ) Pub Date : 2021-03-02 , DOI: 10.1080/13506285.2021.1892894
Brian A Anderson 1
Affiliation  

ABSTRACT

In the target article, Luck et al. [2020. Progress toward resolving the attentional capture debate. Visual Cognition. doi:10.1080/13506285.2020.1848949] argue for progress that has been made in the attentional capture debate, offering points of agreement in addition to highlighting specific outstanding issues that could contribute to further resolution. This commentary questions the most fundamental assumption on which the debate rests: namely that the computation of attentional priority can culminate in a quantal event in which attention can be said to have been captured. The notion of attention-as-capturable leads to a forced dichotomy with respect to the occurrence of capture that undergirds the arguments forwarded by Luck et al. (2020), a dichotomy predicated on arbitrary lines of demarcation over a continuous and temporally-unfolding mental process distributed over multiple regions of the brain. These lines of demarcation serve to perpetuate claims that one type of stimulus either does or does not qualify as capturing attention under particular experiment conditions, on which this entire debate rests. I argue that it is more productive to conceptualize issues surrounding the control of attention in terms of the computation of attentional priority, which naturally links together goal-directed and stimulus-driven influences in a richer and more coherent way.



中文翻译:

是时候停止将其称为注意力“捕获”并接受对注意力优先级的机械理解

摘要

在目标文章中,Luck 等人。[2020 年。解决注意力捕获辩论的进展。视觉认知. doi:10.1080/13506285.2020.1848949] 主张在注意力捕获辩论中取得的进展,除了强调可能有助于进一步解决的具体未决问题外,还提供了共识点。该评论质疑辩论所基于的最基本假设:即注意力优先级的计算可以在一个量子事件中达到高潮,其中可以说注意力已被捕获。注意作为可捕获的概念导致了关于捕获的发生的强制二分法,这支撑了 Luck 等人提出的论点。(2020),一种二分法,基于分布在大脑多个区域的连续和时间展开的心理过程的任意分界线。这些分界线有助于使一种说法永久化,即一种刺激在特定实验条件下是否有资格吸引注意力,整个辩论都依赖于此。我认为,根据注意力优先级的计算来概念化围绕注意力控制的问题更有成效,它自然地将目标导向和刺激驱动的影响以更丰富和更连贯的方式联系在一起。

更新日期:2021-03-02
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