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Area of Science:

  • Cognitive Psychology
  • Perceptual Science
  • Neuroscience

Background:

  • Exposure to within-person variability enhances face learning.
  • Studies on multiple images in face matching yield inconsistent results, with some showing benefits and others none.

Purpose of the Study:

  • To investigate the discrepancy in the benefits of multiple images for face learning versus face matching.
  • To determine the conditions under which multiple-image arrays facilitate face perception.

Main Methods:

  • Four experiments were conducted to examine face learning and matching tasks.
  • Tasks involved presenting single or multiple images of faces, either simultaneously or sequentially.

Main Results:

  • Multiple-image arrays facilitated face matching exclusively when presented before the target image (sequentially).
  • No benefit was observed when array and target images were presented simultaneously.
  • Benefits emerged only when memory abstraction of a stable face representation was required.

Conclusions:

  • The benefits of multiple-image arrays in face perception are contingent on task demands, specifically the requirement for memory-based abstraction.
  • These findings reconcile previous conflicting results in face learning and matching literature.
  • A theoretical framework is proposed for understanding within-person variability in face perception.