Columbia University, United States.
Columbia University, United States.
Cognition. 2019 Feb;183:82-98. doi: 10.1016/j.cognition.2018.10.009. Epub 2018 Nov 14.
People automatically generate first impressions from others' faces, even with limited time and information. Most research on social face evaluation focuses on static morphological features that are embedded "in the face" (e.g., overall average of facial features, masculinity/femininity, cues related to positivity/negativity, etc.). Here, we offer the first investigation of how variability in facial emotion affects social evaluations. Participants evaluated targets that, over time, displayed either high-variability or low-variability distributions of positive (happy) and/or negative (angry/fearful/sad) facial expressions, despite the overall averages of those facial features always being the same across conditions. We found that high-variability led to consistently positive perceptions of authenticity, and thereby, judgments of perceived happiness, trustworthiness, leadership, and team-member desirability. We found these effects were based specifically in variability in emotional displays (not intensity of emotion), and specifically increased the positivity of social judgments (not their extremity). Overall, people do not merely average or summarize over facial expressions to arrive at a judgment, but instead also draw inferences from the variability of those expressions.
人们会根据他人的面部特征自动形成第一印象,即使时间和信息有限。大多数关于社会面部评价的研究都集中在嵌入“面部”中的静态形态特征上(例如,面部特征的总体平均值、男性化/女性化、与积极/消极相关的线索等)。在这里,我们首次调查了面部表情的变化如何影响社会评价。参与者评估了目标,尽管这些面部特征的总体平均值在不同条件下始终相同,但目标在时间上表现出高变异性或低变异性的积极(快乐)和/或消极(愤怒/恐惧/悲伤)表情分布。我们发现,高变异性导致真实性的一致积极感知,从而判断感知到的快乐、值得信赖、领导力和团队成员的可取性。我们发现这些影响是基于情感表达的变异性(而不是情绪的强度),并且特别增加了社会判断的积极性(而不是极端性)。总的来说,人们并不是仅仅通过平均或总结面部表情来做出判断,而是还从这些表情的变异性中进行推断。