Face recognition under adverse viewing conditions: implications for eyewitness testimony

Eyewitness testimony forms an important component in deciding whether a case can be prosecuted. Yet, many criminal perpetrators deliberately conceal their faces with disguises or under dim lighting, undermining eyewitness accuracy. This article reviews recent studies to characterize the factors that...

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Main Authors: Or, Charles C.-F., Lim, Denise Y., Chen, Siyuan, Lee, Alan L. F.
Other Authors: School of Social Sciences
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/173480
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1734802024-02-06T08:31:17Z Face recognition under adverse viewing conditions: implications for eyewitness testimony Or, Charles C.-F. Lim, Denise Y. Chen, Siyuan Lee, Alan L. F. School of Social Sciences Social Sciences Face Memory Eyewitness Testimony Eyewitness testimony forms an important component in deciding whether a case can be prosecuted. Yet, many criminal perpetrators deliberately conceal their faces with disguises or under dim lighting, undermining eyewitness accuracy. This article reviews recent studies to characterize the factors that impair face recognition performance, specifically, various forms of face disguise (e.g., face masks, sunglasses) and different lighting conditions. Research shows that identification accuracy, alongside eyewitness confidence and decision bias, all affect the reliability of eyewitness accounts. A consistent finding across studies is that face-identification accuracy can be improved by matching the viewing conditions during the police lineup with those during the crime (e.g., showing masked faces during the lineup should the perpetrator be masked). Current face recognition research provides specific recommendations for optimizing the procedures in eyewitness testimony. Ministry of Education (MOE) Nanyang Technological University This work was supported by NTU CoHASS Start-Up Grant, CoHASS Incentive Schemes, and Singapore MOE AcRF Tier 1 Grant 2018-T1-001-069 and 2019-T1-001-064 to C.O., 2019-T1-001-060 to C.O. & A.L., and the General Research Fund (Project No. LU13603220) from the Research Grants Council and the Research Matching Grant Scheme (Project No. LU13603220) from the University Grants Committee of the Hong Kong Special Administrative Region, China to A.L. 2024-02-06T08:31:17Z 2024-02-06T08:31:17Z 2023 Journal Article Or, C. C., Lim, D. Y., Chen, S. & Lee, A. L. F. (2023). Face recognition under adverse viewing conditions: implications for eyewitness testimony. Policy Insights From the Behavioral and Brain Sciences, 10(2), 264-271. https://dx.doi.org/10.1177/23727322231194458 2372-7322 https://hdl.handle.net/10356/173480 10.1177/23727322231194458 2-s2.0-85175340896 2 10 264 271 en 2018-T1-001-069 2019-T1-001-064 2019-T1-001-060 Policy Insights from the Behavioral and Brain Sciences © 2023 The Author(s). All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Social Sciences
Face Memory
Eyewitness Testimony
spellingShingle Social Sciences
Face Memory
Eyewitness Testimony
Or, Charles C.-F.
Lim, Denise Y.
Chen, Siyuan
Lee, Alan L. F.
Face recognition under adverse viewing conditions: implications for eyewitness testimony
description Eyewitness testimony forms an important component in deciding whether a case can be prosecuted. Yet, many criminal perpetrators deliberately conceal their faces with disguises or under dim lighting, undermining eyewitness accuracy. This article reviews recent studies to characterize the factors that impair face recognition performance, specifically, various forms of face disguise (e.g., face masks, sunglasses) and different lighting conditions. Research shows that identification accuracy, alongside eyewitness confidence and decision bias, all affect the reliability of eyewitness accounts. A consistent finding across studies is that face-identification accuracy can be improved by matching the viewing conditions during the police lineup with those during the crime (e.g., showing masked faces during the lineup should the perpetrator be masked). Current face recognition research provides specific recommendations for optimizing the procedures in eyewitness testimony.
author2 School of Social Sciences
author_facet School of Social Sciences
Or, Charles C.-F.
Lim, Denise Y.
Chen, Siyuan
Lee, Alan L. F.
format Article
author Or, Charles C.-F.
Lim, Denise Y.
Chen, Siyuan
Lee, Alan L. F.
author_sort Or, Charles C.-F.
title Face recognition under adverse viewing conditions: implications for eyewitness testimony
title_short Face recognition under adverse viewing conditions: implications for eyewitness testimony
title_full Face recognition under adverse viewing conditions: implications for eyewitness testimony
title_fullStr Face recognition under adverse viewing conditions: implications for eyewitness testimony
title_full_unstemmed Face recognition under adverse viewing conditions: implications for eyewitness testimony
title_sort face recognition under adverse viewing conditions: implications for eyewitness testimony
publishDate 2024
url https://hdl.handle.net/10356/173480
_version_ 1794549395747766272