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  1. Individual differences in eyewitness accuracy across multiple lineups of faces.Andrew Russ, Melanie Sauerland, Charlotte E. Lee & Markus Bindemann - 2018 - Cognitive Research: Principles and Implications 3 (30).
    Theories of face recognition in cognitive psychology stipulate that the hallmark of accurate identification is the ability to recognize a person consistently, across different encounters. In this study, we apply this reasoning to eyewitness identification by assessing the recognition of the same target person repeatedly, over six successive lineups. Such repeat identifications are challenging and can be performed only by a proportion of individuals, both when a target exhibits limited and more substantial variability in appearance across lineups (Experiments 1 and (...)
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  • A cultural setting where the other-race effect on face recognition has no social–motivational component and derives entirely from lifetime perceptual experience.Lulu Wan, Kate Crookes, Katherine J. Reynolds, Jessica L. Irons & Elinor McKone - 2015 - Cognition 144 (C):91-115.
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  • Viewers base estimates of face matching accuracy on their own familiarity: Explaining the photo-ID paradox.Kay L. Ritchie, Finlay G. Smith, Rob Jenkins, Markus Bindemann, David White & A. Mike Burton - 2015 - Cognition 141 (C):161-169.
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  • 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.
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  • Understanding face familiarity.Robin S. S. Kramer, Andrew W. Young & A. Mike Burton - 2018 - Cognition 172 (C):46-58.
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  • Variability in photos of the same face.Rob Jenkins, David White, Xandra Van Montfort & A. Mike Burton - 2011 - Cognition 121 (3):313-323.
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  • Identity From Variation: Representations of Faces Derived From Multiple Instances.A. Mike Burton, Robin S. S. Kramer, Kay L. Ritchie & Rob Jenkins - 2016 - Cognitive Science 40 (1):202-223.
    Research in face recognition has tended to focus on discriminating between individuals, or “telling people apart.” It has recently become clear that it is also necessary to understand how images of the same person can vary, or “telling people together.” Learning a new face, and tracking its representation as it changes from unfamiliar to familiar, involves an abstraction of the variability in different images of that person's face. Here, we present an application of principal components analysis computed across different photos (...)
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  • Stable individual differences in unfamiliar face identification: Evidence from simultaneous and sequential matching tasks.K. A. Baker, V. J. Stabile & C. J. Mondloch - 2023 - Cognition 232 (C):105333.
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