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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/34148
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dc.contributor.authorCarragher, Daniel Jen_UK
dc.contributor.authorTowler, Aliceen_UK
dc.contributor.authorMileva, Viktoria Ren_UK
dc.contributor.authorWhite, Daviden_UK
dc.contributor.authorHancock, Peter J Ben_UK
dc.date.accessioned2022-04-09T00:01:28Z-
dc.date.available2022-04-09T00:01:28Z-
dc.date.issued2022en_UK
dc.identifier.other30en_UK
dc.identifier.urihttp://hdl.handle.net/1893/34148-
dc.description.abstractTo 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.en_UK
dc.language.isoenen_UK
dc.publisherSpringer Science and Business Media LLCen_UK
dc.relationCarragher 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-xen_UK
dc.rightsThis 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/.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectCognitive Neuroscienceen_UK
dc.subjectExperimental and Cognitive Psychologyen_UK
dc.titleMasked face identification is improved by diagnostic feature trainingen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1186/s41235-022-00381-xen_UK
dc.identifier.pmid35380315en_UK
dc.citation.jtitleCognitive Research: Principles and Implicationsen_UK
dc.citation.issn2365-7464en_UK
dc.citation.volume7en_UK
dc.citation.issue1en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderAustralian Research Councilen_UK
dc.contributor.funderEPSRC Engineering and Physical Sciences Research Councilen_UK
dc.author.emailp.j.b.hancock@stir.ac.uken_UK
dc.citation.date05/04/2022en_UK
dc.contributor.affiliationPsychologyen_UK
dc.contributor.affiliationUniversity of New South Walesen_UK
dc.contributor.affiliationPsychologyen_UK
dc.contributor.affiliationUniversity of New South Walesen_UK
dc.contributor.affiliationPsychologyen_UK
dc.identifier.isiWOS:000778707400001en_UK
dc.identifier.scopusid2-s2.0-85127762155en_UK
dc.identifier.wtid1808582en_UK
dc.contributor.orcid0000-0003-2265-4737en_UK
dc.contributor.orcid0000-0002-7983-3069en_UK
dc.contributor.orcid0000-0001-6025-7068en_UK
dc.date.accepted2022-03-17en_UK
dcterms.dateAccepted2022-03-17en_UK
dc.date.filedepositdate2022-04-08en_UK
dc.relation.funderprojectFACERVM - Face Matchingen_UK
dc.subject.tagFace recognitionen_UK
rioxxterms.apcpaiden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorCarragher, Daniel J|0000-0003-2265-4737en_UK
local.rioxx.authorTowler, Alice|en_UK
local.rioxx.authorMileva, Viktoria R|0000-0002-7983-3069en_UK
local.rioxx.authorWhite, David|en_UK
local.rioxx.authorHancock, Peter J B|0000-0001-6025-7068en_UK
local.rioxx.projectNot Applicable|Engineering and Physical Sciences Research Council|http://dx.doi.org/10.13039/501100000266en_UK
local.rioxx.freetoreaddate2022-04-08en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2022-04-08|en_UK
local.rioxx.filenames41235-022-00381-x.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2365-7464en_UK
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