Becker D Vaughn, Rheem Hansol
Arizona State University, Tempe, AR, USA.
Atten Percept Psychophys. 2020 Feb;82(2):626-636. doi: 10.3758/s13414-020-01975-7.
Finding a face in a crowd is a real-world analog to visual search, but extending the visual search method to such complex social stimuli is rife with potential pitfalls. We need look no further than the well-cited notion that angry faces "pop out" of crowds to find evidence that stimulus confounds can lead to incorrect inferences. Indeed, long before the recent replication crisis in social psychology, stimulus confounds led to repeated demonstrations of spurious effects that were misattributed to adaptive cognitive design. We will first discuss how researchers refuted these errors with systematic "face in the crowd" experiments. We will then contend that these more careful studies revealed something that may actually be adaptive, but at the level of the signal: Happy facial expressions seem designed to be detected efficiently. We will close by suggesting that participant-level manipulations can be leveraged to reveal strategic shifts in performance in the visual search for complex stimuli such as faces. Because stimulus-level effects are held constant across such manipulations, the technique affords strong inferences about the psychological underpinnings of searching for a face in the crowd.
在人群中识别面孔是视觉搜索在现实世界中的类似情况,但将视觉搜索方法扩展到如此复杂的社会刺激中充满了潜在的陷阱。我们只需看看“愤怒的面孔会从人群中‘突显出来’”这一被广泛引用的观点,就能找到证据表明刺激混淆会导致错误的推断。事实上,早在最近社会心理学的复制危机之前,刺激混淆就导致了虚假效应的反复出现,而这些效应被错误地归因于适应性认知设计。我们将首先讨论研究人员如何通过系统的“人群中的面孔”实验来反驳这些错误。然后我们将主张,这些更严谨的研究揭示了一些实际上可能具有适应性的东西,但却是在信号层面:快乐的面部表情似乎旨在被高效地检测到。最后我们将提出,可以利用参与者层面的操作来揭示在对诸如面孔等复杂刺激进行视觉搜索时表现的策略性转变。由于在这些操作中刺激层面的效应保持不变,该技术能够对在人群中搜索面孔的心理基础进行有力的推断。
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