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The sibling familiarity effect: Is within‐person facial variability shared across siblings?
Author(s) -
Strathie Ailsa,
HughesWhite Naomi,
Laurence Sarah
Publication year - 2022
Publication title -
british journal of psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.536
H-Index - 92
eISSN - 2044-8295
pISSN - 0007-1269
DOI - 10.1111/bjop.12517
Subject(s) - psychology , sibling , identity (music) , developmental psychology , matching (statistics) , face (sociological concept) , cognitive psychology , facial recognition system , social psychology , kin recognition , face perception , perception , pattern recognition (psychology) , evolutionary biology , biology , social science , statistics , physics , mathematics , neuroscience , sociology , acoustics
Humans are experts at familiar face recognition, but poor at unfamiliar face recognition. Familiarity is created when a face is encountered across varied conditions, but the way in which a person’s appearance varies is identity‐specific, so familiarity with one identity does not benefit recognition of other individuals. However, the faces of biological siblings share structural similarities, so we explored whether the benefits of familiarity are shared across siblings. Results show that familiarity with one half of a sibling pair improves kin detection (experiment 1), and that unfamiliar face matching is more accurate when targets are the siblings of familiar versus unfamiliar individuals (experiment 2). PCA applied to facial images of celebrities and their siblings demonstrates that faces are generally better reconstructed in the principal components of a same‐sex sibling than those of an unrelated individual. When we encounter the unfamiliar sibling of someone we already know, our pre‐existing representation of their familiar relation may usefully inform processing of the unfamiliar face. This can benefit both kin detection and identity processing, but the benefits are constrained by the degree to which facial variability is shared.

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