From Pictures to the People in Them: Averaging Within-Person Variability Leads to Face Familiarization
研究发现，人们通过平均化同一人不同照片中的面部变化来熟悉其面孔，且这种学习可在无意识中发生。
Familiar faces can be confidently recognized despite sometimes radical changes in their appearance. Exposure to within-person variability—differences in facial characteristics over successive encounters—contributes to face familiarization. Research also suggests that viewers create mental averages of the different views of faces they encounter while learning them. Averaging over within-person variability is thus a promising mechanism for face familiarization. In Experiment 1, 153 Canadian undergraduates (88 female; age: M = 21 years, SD = 5.24) learned six target identities from eight different photos of each target interspersed among 32 distractor identities. Face-matching accuracy improved similarly irrespective of awareness of the target’s identity, confirming that target faces presented among distractors can be learned incidentally. In Experiment 2, 170 Canadian undergraduates (125 female; age: M = 22.6 years, SD = 6.02) were tested using a novel indirect measure of learning. The results show that viewers update a mental average of a person’s face as it becomes learned. Our findings are the first to show how averaging within-person variability over time leads to face familiarization.