Princeton University, Princeton, NJ 08540, USA.
Psychol Sci. 2010 Jun;21(6):779-85. doi: 10.1177/0956797610371965. Epub 2010 May 18.
Different individuals have different (and different-looking) significant others, friends, and foes. The objective of this study was to investigate whether these social face environments can shape individual face preferences. First, participants learned to associate faces with positive, neutral, or negative behaviors. Then, they evaluated morphs combining novel faces with the learned faces. The morphs (65% and 80% novel faces) were within the categorical boundary of the novel faces: They were perceived as those faces in a preliminary study. Moreover, a second preliminary study showed that following the learning, the morphs' categorization as similar to the learned faces was indistinguishable from the categorization of actual novel faces. Nevertheless, in the main experiment, participants evaluated morphs of "positive" faces more positively than morphs of "negative" faces. This learning generalization effect increased as a function of the similarity of the novel faces to the learned faces. The findings suggest that general learning mechanisms based on similarity can account for idiosyncratic face preferences.
不同的个体有不同的(且看起来不同的)重要他人、朋友和敌人。本研究的目的是探讨这些社交面孔环境是否可以塑造个体对面孔的偏好。首先,参与者学习将面孔与积极、中性或消极行为相关联。然后,他们评估了将新面孔与所学面孔相结合的变体。这些变体(65%和 80%的新面孔)处于新面孔的类别边界内:它们在初步研究中被视为那些面孔。此外,第二项初步研究表明,在学习之后,将变体归类为与所学面孔相似与归类为实际新面孔没有区别。然而,在主要实验中,参与者对“积极”面孔的变体评价比“消极”面孔的变体更积极。这种学习泛化效应随着新面孔与所学面孔的相似性的增加而增加。研究结果表明,基于相似性的一般学习机制可以解释个体对面孔偏好的差异。