An adaptive view of attentional control.

B. Anderson
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引用次数: 4

Abstract

Although humans can voluntarily direct their attention to particular stimuli, attention can at times be involuntarily allocated to stimuli and such attentional capture can result in unproductive distraction. A challenge to any comprehensive theory of attention is to explain how involuntary mechanisms of attentional control and their potential to produce distraction are ultimately reflective of an adaptation. Traditional arguments on this topic have appealed to a generalized cost-benefit accounting. Specifically, the cost of misallocating attention to the kinds of stimuli prioritized by involuntary mechanisms of attentional control over the long run is argued to be small in comparison with the potentially life-altering cost of failing to attend to such stimuli, which involuntary mechanisms of attentional control guard against. Our understanding of these mechanisms has undergone a revolution in recent years, findings from which point to a much more sophisticated adaptation that systematically maximizes benefits associated with automating the control of attention while minimizing unwanted distraction. In this review, I provide an updated model of the adaptive nature of involuntary mechanisms of attentional control, outlining concrete principles governing the management of specific costs and benefits. I conclude that distraction does not in general constitute a failure of attentional control but rather reflects the joint product of these adaptive principles. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
注意控制的适应性观点。
虽然人类可以自愿地将注意力集中到特定的刺激上,但注意力有时会被不由自主地分配到刺激上,这种注意力捕获会导致无益的分心。任何关于注意力的综合理论都面临的一个挑战是,如何解释注意力控制的非自愿机制及其产生分心的潜力最终反映了一种适应。关于这一主题的传统论点诉诸于广义的成本效益核算。具体地说,在长期内,将注意力错误地分配到由非自愿注意控制机制优先考虑的刺激上的成本,被认为与未能注意到这些刺激的潜在改变生活的成本相比,要小得多,而非自愿注意控制机制可以防止这些刺激。近年来,我们对这些机制的理解经历了一场革命,这些发现指向了一种更复杂的适应,即系统地最大化与注意力控制自动化相关的好处,同时最大限度地减少不必要的分心。在这篇综述中,我提供了一个关于注意力控制的非自愿机制的适应性的更新模型,概述了管理特定成本和收益的具体原则。我的结论是,注意力分散通常并不构成注意力控制的失败,而是反映了这些适应性原则的共同产物。(PsycInfo Database Record (c) 2022 APA,版权所有)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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