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Viewers base estimates of face matching accuracy on their own familiarity: Explaining the photo-ID paradox
Cognition 141 (C):161-169 (2015)
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Citations of this work
Critical features for face recognition.Naphtali Abudarham, Lior Shkiller & Galit Yovel - 2019 - Cognition 182 (C):73-83.
What makes a face photo a ‘good likeness’?Kay L. Ritchie, Robin S. S. Kramer & A. Mike Burton - 2018 - Cognition 170 (C):1-8.
Dunning–Kruger effects in face perception.Xingchen Zhou & Rob Jenkins - 2020 - Cognition 203 (C):104345.
Average faces: How does the averaging process change faces physically and perceptually?Isabelle Bülthoff & Mintao Zhao - 2021 - Cognition 216 (C):104867.
Multiple-image arrays in face matching tasks with and without memory.Kay L. Ritchie, Robin S. S. Kramer, Mila Mileva, Adam Sandford & A. Mike Burton - 2021 - Cognition 211 (C):104632.
References found in this work
The curse of expertise: The effects of expertise and debiasing methods on prediction of novice performance.Pamela J. Hinds - 1999 - Journal of Experimental Psychology: Applied 5 (2):205.
Verification of face identities from images captured on video.Vicki Bruce, Zoë Henderson, Karen Greenwood, Peter J. B. Hancock, A. Mike Burton & Paul Miller - 1999 - Journal of Experimental Psychology: Applied 5 (4):339.
Matching identities of familiar and unfamiliar faces caught on CCTV images.Vicki Bruce, Zoë Henderson, Craig Newman & A. Mike Burton - 2001 - Journal of Experimental Psychology: Applied 7 (3):207.
Unfamiliar face perception.A. Mike Burton & Rob Jenkins - 2011 - In Andy Calder, Gillian Rhodes, Mark Johnson & Jim Haxby, Oxford Handbook of Face Perception. Oxford University Press. pp. 287--306.
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