Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/34148
Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: Masked face identification is improved by diagnostic feature training
Author(s): Carragher, Daniel J
Towler, Alice
Mileva, Viktoria R
White, David
Hancock, Peter J B
Contact Email: p.j.b.hancock@stir.ac.uk
Keywords: Cognitive Neuroscience
Experimental and Cognitive Psychology
Issue Date: 2022
Date Deposited: 8-Apr-2022
Citation: Carragher DJ, Towler A, Mileva VR, White D & Hancock PJB (2022) Masked face identification is improved by diagnostic feature training. Cognitive Research: Principles and Implications, 7 (1), Art. No.: 30. https://doi.org/10.1186/s41235-022-00381-x
Abstract: To slow the spread of COVID-19, many people now wear face masks in public. Face masks impair our ability to identify faces, which can cause problems for professional staff who identify offenders or members of the public. Here, we investigate whether performance on a masked face matching task can be improved by training participants to compare diagnostic facial features (the ears and facial marks)—a validated training method that improves matching performance for unmasked faces. We show this brief diagnostic feature training, which takes less than two minutes to complete, improves matching performance for masked faces by approximately 5%. A control training course, which was unrelated to face identification, had no effect on matching performance. Our findings demonstrate that comparing the ears and facial marks is an effective means of improving face matching performance for masked faces. These findings have implications for professions that regularly perform face identification.
DOI Link: 10.1186/s41235-022-00381-x
Rights: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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