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视觉搜索中的启动效应如何影响反应时间分布:基于前高斯拟合的分析

How priming in visual search affects response time distributions: analyses with ex-Gaussian fits.

作者信息

Kristjánsson Arni, Jóhannesson Omar I

机构信息

Laboratory for Visual Perception and Visuomotor Control, Faculty of Psychology, School of Health Sciences, University of Iceland, Oddi (113) við Sturlugötu, 101, Reykjavík, Iceland,

出版信息

Atten Percept Psychophys. 2014 Nov;76(8):2199-211. doi: 10.3758/s13414-014-0735-y.

Abstract

Although response times (RTs) are the dependent measure of choice in the majority of studies of visual attention, changes in RTs can be hard to interpret. First, they are inherently ambiguous, since they may reflect a change in the central tendency or skew (or both) of a distribution. Second, RT measures may lack sensitivity, since meaningful changes in RT patterns may not be picked up if they reflect two or more processes having opposing influences on mean RTs. Here we describe RT distributions for repetition priming in visual search, fitting ex-Gaussian functions to RT distributions. We focus here on feature and conjunction search tasks, since priming effects in these tasks are often thought to reflect similar mechanisms. As expected, both tasks resulted in strong priming effects when target and distractor identities repeated, but a large difference between feature and conjunction search was also seen, in that the σ parameter (reflecting the standard deviation of the Gaussian component) was far more affected by search repetition in conjunction than in feature search. Although caution should clearly be used when particular parameter estimates are matched to specific functions or processes, our results suggest that analyses of RT distributions can inform theoretical accounts of priming in visual search tasks, in this case showing quite different repetition effects for the two differing search types, suggesting that priming in the two paradigms partly reflects different mechanisms.

摘要

尽管在大多数视觉注意研究中,反应时间(RTs)是所选用的因变量指标,但反应时间的变化可能难以解释。首先,反应时间本质上具有模糊性,因为它们可能反映了分布的集中趋势或偏度(或两者)的变化。其次,反应时间测量可能缺乏敏感性,因为如果反应时间模式的有意义变化反映了两个或更多对平均反应时间有相反影响的过程,那么这些变化可能无法被检测到。在此,我们描述视觉搜索中重复启动的反应时间分布,将前高斯函数拟合到反应时间分布上。我们在此关注特征搜索和联合搜索任务,因为这些任务中的启动效应通常被认为反映了相似的机制。正如预期的那样,当目标和干扰项的身份重复时,这两种任务都产生了强烈的启动效应,但特征搜索和联合搜索之间也存在很大差异,即σ参数(反映高斯成分的标准差)在联合搜索中比在特征搜索中受搜索重复的影响要大得多。尽管在将特定参数估计与特定函数或过程匹配时应谨慎使用,但我们的结果表明,反应时间分布分析可以为视觉搜索任务中启动的理论解释提供依据,在这种情况下,显示出两种不同搜索类型的重复效应截然不同,这表明两种范式中的启动效应部分反映了不同的机制。

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