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Replicating distinctive facial features in lineups: identification performance in young versus older adults

Overview of attention for article published in Psychonomic Bulletin & Review, November 2012
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Title
Replicating distinctive facial features in lineups: identification performance in young versus older adults
Published in
Psychonomic Bulletin & Review, November 2012
DOI 10.3758/s13423-012-0339-2
Pubmed ID
Authors

Stephen P. Badham, Kimberley A. Wade, Hannah J. E. Watts, Natalie G. Woods, Elizabeth A. Maylor

Abstract

Criminal suspects with distinctive facial features, such as tattoos or bruising, may stand out in a police lineup. To prevent suspects from being unfairly identified on the basis of their distinctive feature, the police often manipulate lineup images to ensure that all of the members appear similar. Recent research shows that replicating a distinctive feature across lineup members enhances eyewitness identification performance, relative to removing that feature on the target. In line with this finding, the present study demonstrated that with young adults (n = 60; mean age = 20), replication resulted in more target identifications than did removal in target-present lineups and that replication did not impair performance, relative to removal, in target-absent lineups. Older adults (n = 90; mean age = 74) performed significantly worse than young adults, identifying fewer targets and more foils; moreover, older adults showed a minimal benefit from replication over removal. This pattern is consistent with the associative deficit hypothesis of aging, such that older adults form weaker links between faces and their distinctive features. Although replication did not produce much benefit over removal for older adults, it was not detrimental to their performance. Therefore, the results suggest that replication may not be as beneficial to older adults as it is to young adults and demonstrate a new practical implication of age-related associative deficits in memory.

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The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 6%
United States 1 3%
Unknown 33 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 17%
Student > Bachelor 6 17%
Student > Doctoral Student 4 11%
Lecturer 3 8%
Student > Ph. D. Student 3 8%
Other 7 19%
Unknown 7 19%
Readers by discipline Count As %
Psychology 20 56%
Medicine and Dentistry 2 6%
Chemical Engineering 1 3%
Computer Science 1 3%
Agricultural and Biological Sciences 1 3%
Other 2 6%
Unknown 9 25%