Multifaceted consequences of visual distraction during natural behaviour

Levi Kumle, Melissa L.-H. Võ, Anna C. Nobre, Dejan Draschkow
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Abstract

Visual distraction is a ubiquitous aspect of everyday life. Studying the consequences of distraction during temporally extended tasks, however, is not tractable with traditional methods. Here we developed a virtual reality approach that segments complex behaviour into cognitive subcomponents, including encoding, visual search, working memory usage, and decision-making. Participants copied a model display by selecting objects from a resource pool and placing them into a workspace. By manipulating the distractibility of objects in the resource pool, we discovered interfering effects of distraction across the different cognitive subcomponents. We successfully traced the consequences of distraction all the way from overall task performance to the decision-making processes that gate memory usage. Distraction slowed down behaviour and increased costly body movements. Critically, distraction increased encoding demands, slowed visual search, and decreased reliance on working memory. Our findings illustrate that the effects of visual distraction during natural behaviour can be rather focal but nevertheless have cascading consequences. Tracking behaviour in a virtual reality setting allows segmenting and tracking encoding, visual search, working memory usage, and decision-making separately and reveals distinct effects of distraction on these subprocesses.

Abstract Image

自然行为中视觉干扰的多方面后果
视觉分心是日常生活中无处不在的现象。然而,传统方法无法研究在时间性较强的任务中视觉分心的后果。在这里,我们开发了一种虚拟现实方法,将复杂的行为细分为认知子组件,包括编码、视觉搜索、工作记忆使用和决策。参与者通过从资源库中选择对象并将其放入工作区,来复制模型显示。通过操纵资源库中物体的分心程度,我们发现了分心对不同认知子组件的干扰效应。我们成功地追溯了分心的后果,从整体任务表现到控制记忆使用的决策过程。分心会减缓行为,增加代价高昂的肢体动作。重要的是,分心增加了编码需求,减缓了视觉搜索,并减少了对工作记忆的依赖。我们的研究结果表明,在自然行为过程中,视觉分心的影响可能是局部的,但却会产生连带后果。在虚拟现实环境中对行为进行跟踪,可以分别对编码、视觉搜索、工作记忆使用和决策进行细分和跟踪,并揭示出分心对这些子过程的不同影响。
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