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Super-recognisers show an advantage for other race face identification

Super-recognisers show an advantage for other race face identification

Robertson, David J., Black, Jennifer, Chamberlain, Bethany, Megreya, Ahmed and Davis, Josh P. ORCID: 0000-0003-0017-7159 (2019) Super-recognisers show an advantage for other race face identification. Applied Cognitive Psychology, 34 (1). pp. 205-216. ISSN 0888-4080 (Print), 1099-0720 (Online) (doi:https://doi.org/10.1002/acp.3608)

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Abstract

The accurate identification of an unfamiliar individual from a face photo is a critical factor in several applied situations (e.g. border control). Despite this, matching faces to photographic ID is highly prone to error. In lieu of effective training measures which could reduce face matching errors, the selection of ‘super-recognisers’ (SRs) provides the most promising route to combat misidentification or fraud. However, to date, super-recognition has been defined and tested using almost exclusively ‘own-race’ face memory and matching tests. Here, across three studies we test Caucasian participants on tests of own-race (GFMT, MFMT, CFMT) and other-race (EFMT, CFMT-C) face identification. Our findings show that compared to controls, high performing typical recognisers (Studies 1 & 2) and super-recognisers (Study 3) show superior performance on both the own- and other-race tests. These findings suggest that recruiting SRs in ethnically diverse applied settings could be advantageous.

Item Type: Article
Uncontrolled Keywords: face recognition, unfamiliar face matching, individual differences, super-recogniser, identity verification
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Faculty / Department / Research Group: Faculty of Education, Health & Human Sciences
Faculty of Education, Health & Human Sciences > Applied Psychology Research Group
Faculty of Education, Health & Human Sciences > Department of Psychology, Social Work & Counselling
Last Modified: 31 Jan 2020 11:45
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/25404

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