Improving forensic perpetrator identification with Super-Recognizers

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Version: Final published version
License: CC BY-NC-ND 4.0
Serval ID
serval:BIB_2556C718E0CD
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Improving forensic perpetrator identification with Super-Recognizers
Journal
Proceedings of the National Academy of Sciences
Author(s)
Mayer Maren, Ramon Meike
ISSN
0027-8424
1091-6490
Publication state
Published
Issued date
16/05/2023
Peer-reviewed
Oui
Volume
120
Number
20
Language
english
Abstract
About a decade ago, Super-recognizers were first descirbed as individuals with exceptional face identity processing abilities. Since then, various tests have been developed or adapted to assess individuals' face identity processing abilities and identify Super-Recognizers. The extent literature suggests that Super-Recognizers may be beneficial in police tasks concerning individual identification. However, in reality, the performance of Super-Recognizers has never been examined using authentic forensic material. This not only limits external validity of test procedures used to identify Super-Recognizers, but also claims concerning their deployment in policing. Here, we report the first ever investigation of Super-Recognizers' ability in identifying perpetrators using authentic case material. We report the data of 73 Super-Recognizers and 45 control participants on three challenging tests of face identity processing recommended by Ramon (2021), and their performance for perpetrator identification using four CCTV sequences depicting five perpetrators. Our findings demonstrate that face identity processing tests are valid in measuring such abilities and identify Super-Recognizers. Moreover, Super-Recognizers excel at pertrator identification relative to control participants with more correct identifications in the forensic CCTV sequences, the better performance across tests of face identity processing was. These results provide external validity for tests proposed as diagnostic criteria for Super-Recognizer identificiation (Ramon, 2021). They furthermore represent the first empirical evidence that Super-Recognizers identified using these measures can be beneficial for forensic perpetrator identification. We discuss theoretical and practical implications for law enforcement, whose procedures can be improved via a human-centric approach centered around individuals with an innate ability.
Keywords
Multidisciplinary
Pubmed
Web of science
Open Access
Yes
Funding(s)
Swiss National Science Foundation / 179872
Create date
27/11/2022 11:13
Last modification date
25/01/2024 8:32
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