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变化的目标出现频率揭示了视觉搜索中两种可分离的决策标准。

Varying target prevalence reveals two dissociable decision criteria in visual search.

机构信息

Visual Attention Lab, Brigham and Women's Hospital, Cambridge, MA 02139, USA.

出版信息

Curr Biol. 2010 Jan 26;20(2):121-4. doi: 10.1016/j.cub.2009.11.066. Epub 2010 Jan 14.

Abstract

Target prevalence powerfully influences visual search behavior. In most visual search experiments, targets appear on at least 50% of trials [1-3]. However, when targets are rare (as in medical or airport screening), observers shift response criteria, leading to elevated miss error rates [4, 5]. Observers also speed target-absent responses and may make more motor errors [6]. This could be a speed/accuracy tradeoff with fast, frequent absent responses producing more miss errors. Disproving this hypothesis, our experiment one shows that very high target prevalence (98%) shifts response criteria in the opposite direction, leading to elevated false alarms in a simulated baggage search. However, the very frequent target-present responses are not speeded. Rather, rare target-absent responses are greatly slowed. In experiment two, prevalence was varied sinusoidally over 1000 trials as observers' accuracy and reaction times (RTs) were measured. Observers' criterion and target-absent RTs tracked prevalence. Sensitivity (d') and target-present RTs did not vary with prevalence [7-9]. These results support a model in which prevalence influences two parameters: a decision criterion governing the series of perceptual decisions about each attended item, and a quitting threshold that governs the timing of target-absent responses. Models in which target prevalence only influences an overall decision criterion are not supported.

摘要

目标出现的频率强烈影响视觉搜索行为。在大多数视觉搜索实验中,目标至少会在 50%的试验中出现[1-3]。然而,当目标很罕见时(如在医学或机场筛查中),观察者会改变响应标准,导致错误率升高[4,5]。观察者还会加速目标不存在的响应,并且可能会犯更多的运动错误[6]。这可能是一个速度/准确性的权衡,快速、频繁的无目标响应会产生更多的错误。我们的实验一证明了这个假设是错误的,非常高的目标出现频率(98%)会使响应标准朝相反的方向变化,导致在模拟行李搜索中假警报的增加。然而,非常频繁的目标存在响应并没有加快。相反,罕见的目标不存在响应大大减慢。在实验二中,在 1000 次试验中正弦地改变出现频率,同时测量观察者的准确性和反应时间(RT)。观察者的标准和目标不存在的 RT 跟踪出现频率。敏感性(d')和目标存在的 RT 不随出现频率而变化[7-9]。这些结果支持了这样一种模型,即出现频率影响两个参数:一个决定标准,用于对每个被注意项目进行的一系列感知决策,以及一个决定目标不存在响应时间的退出阈值。不支持仅影响整体决策标准的目标出现频率模型。

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