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From pictures to the people in them: Averaging within-person variability leads to face familiarization
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Description: This project provided direct evidence that averaging within-person variability is a viable underlying mechanism for face familiarization, using a training paradigm that involves incidental learning of targets interspersed among distractors. We also showed that attractiveness ratings for targets become increasingly consistent as viewers gain familiarity, introducing the consistency in social ratings as an implicit measure of familiarity.
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