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Post published on Twitter/X on 5 Sep 2022 06:18

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James D. Dunn, Victor P. L. Varela, Victoria I. Nicholls, Michael Papinutto, David White, Sebastien Miellet (2022). Face-Information Sampling in Super-Recognizers. Psychological Science, 33(9), 1615-1630. SAGE Publications.

Publication date
31 Aug 2022
Identifier
10.1177/09567976221096320
Authors
James D. Dunn, Victor P. L. Varela, Victoria I. Nicholls, Michael Papinutto, David White, Sebastien Miellet
Source
Psychological Science
Details
33(9), 1615-1630
Reference type
article
Publisher
SAGE Publications
Metadata source
crossref

Abstract

Perceptual processes underlying individual differences in face-recognition ability remain poorly understood. We compared visual sampling of 37 adult super-recognizers—individuals with superior face-recognition ability—with that of 68 typical adult viewers by measuring gaze position as they learned and recognized unfamiliar faces. In both phases, participants viewed faces through “spotlight” apertures that varied in size, with face information restricted in real time around their point of fixation. We found higher accuracy in super-recognizers at all aperture sizes—showing that their superiority does not rely on global sampling of face information but is also evident when they are forced to adopt piecemeal sampling. Additionally, super-recognizers made more fixations, focused less on eye region, and distributed their gaze more than typical viewers. These differences were most apparent when learning faces and were consistent with trends we observed across the broader ability spectrum, suggesting that they are reflective of factors that vary dimensionally in the broader population.

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