title: Replicating distinctive facial features in lineups: identification performance in young versus older adults.
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.
authors.affiliation: Department of Psychology, University of Warwick, Coventry CV4 7AL, UK. s.p.badham@warwick.ac.uk
authors.forename: Stephen P
authors.initials: SP
authors.lastname: Badham
authors.forename: Kimberley A
authors.initials: KA
authors.lastname: Wade
authors.forename: Hannah J E
authors.initials: HJ
authors.lastname: Watts
authors.forename: Natalie G
authors.initials: NG
authors.lastname: Woods
authors.forename: Elizabeth A
authors.initials: EA
authors.lastname: Maylor
mesh_terms: D000293:Adolescent; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000502:physiology*; D005145:Face; D005260:Female; D006801:Humans; D035846:Law Enforcement / Q000379:methods*; D008297:Male; D008875:Middle Aged; D010364:Pattern Recognition, Visual / Q000502:physiology*; D021641:Recognition, Psychology / Q000502:physiology*; D055815:Young Adult