Flack, T.R. orcid.org/0000-0002-4115-4466, Ritchie, K.L., Cartledge, C. et al. (2 more authors) (Cover date: November/December 2023) Improving face morph detection with the pairs training effect. Applied Cognitive Psychology, 37 (6). pp. 1158-1166. ISSN 0888-4080
Abstract
It is becoming increasingly common for face morphs (weighted combinations of two people's photographs) to be submitted for inclusion in an official document, such as a passport. These images may sufficiently resemble both individuals that they can be used by either person in a ‘fraudulently obtained genuine’ document. Problematically, people are poor at detecting face morphs and there is limited evidence that this can be improved. Here, we tested whether the ‘pairs training effect’ (working in pairs, which we know improves unfamiliar face matching) can improve face morph detection. We found morph detection was more accurate when working in a pair. Further, the lower performer in the pair maintained this benefit when completing the task again individually. We conclude that the pairs training effect translates to face morph detection, and these findings have important implications for improving the detection of face morphs at the initial application stage.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Authors. Applied Cognitive Psychology published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | face morph; face perception; morphing attack; pairs |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Psychology (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Nov 2024 15:06 |
Last Modified: | 14 Nov 2024 15:06 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1002/acp.4110 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:219642 |