Literature DB >> 27458070

Unfair Lineups Make Witnesses More Likely to Confuse Innocent and Guilty Suspects.

Melissa F Colloff1, Kimberley A Wade2, Deryn Strange3.   

Abstract

Eyewitness-identification studies have focused on the idea that unfair lineups (i.e., ones in which the police suspect stands out) make witnesses more willing to identify the police suspect. We examined whether unfair lineups also influence subjects' ability to distinguish between innocent and guilty suspects and their ability to judge the accuracy of their identification. In a single experiment (N = 8,925), we compared three fair-lineup techniques used by the police with unfair lineups in which we did nothing to prevent distinctive suspects from standing out. Compared with the fair lineups, doing nothing not only increased subjects' willingness to identify the suspect but also markedly impaired subjects' ability to distinguish between innocent and guilty suspects. Accuracy was also reduced at every level of confidence. These results advance theory on witnesses' identification performance and have important practical implications for how police should construct lineups when suspects have distinctive features.
© The Author(s) 2016.

Entities:  

Keywords:  diagnostic feature detection; distinctive features; eyewitness memory; lineup fairness; open data

Mesh:

Year:  2016        PMID: 27458070     DOI: 10.1177/0956797616655789

Source DB:  PubMed          Journal:  Psychol Sci        ISSN: 0956-7976


  8 in total

1.  Optimizing the selection of fillers in police lineups.

Authors:  Melissa F Colloff; Brent M Wilson; Travis M Seale-Carlisle; John T Wixted
Journal:  Proc Natl Acad Sci U S A       Date:  2021-02-23       Impact factor: 11.205

2.  fullROC: An R package for generating and analyzing eyewitness-lineup ROC curves.

Authors:  Yueran Yang; Andrew M Smith
Journal:  Behav Res Methods       Date:  2022-05-31

3.  Lineup fairness: propitious heterogeneity and the diagnostic feature-detection hypothesis.

Authors:  Curt A Carlson; Alyssa R Jones; Jane E Whittington; Robert F Lockamyeir; Maria A Carlson; Alex R Wooten
Journal:  Cogn Res Princ Implic       Date:  2019-06-13

4.  Testing encoding specificity and the diagnostic feature-detection theory of eyewitness identification, with implications for showups, lineups, and partially disguised perpetrators.

Authors:  Curt A Carlson; Jacob A Hemby; Alex R Wooten; Alyssa R Jones; Robert F Lockamyeir; Maria A Carlson; Jennifer L Dias; Jane E Whittington
Journal:  Cogn Res Princ Implic       Date:  2021-03-03

5.  A validation of the two-high threshold eyewitness identification model by reanalyzing published data.

Authors:  Nicola Marie Menne; Kristina Winter; Raoul Bell; Axel Buchner
Journal:  Sci Rep       Date:  2022-08-04       Impact factor: 4.996

6.  Experimental validation of a multinomial processing tree model for analyzing eyewitness identification decisions.

Authors:  Kristina Winter; Nicola M Menne; Raoul Bell; Axel Buchner
Journal:  Sci Rep       Date:  2022-09-16       Impact factor: 4.996

7.  The impact of sleep on eyewitness identifications.

Authors:  D P Morgan; J Tamminen; T M Seale-Carlisle; L Mickes
Journal:  R Soc Open Sci       Date:  2019-12-04       Impact factor: 2.963

Review 8.  Sources of Risk of AI Systems.

Authors:  André Steimers; Moritz Schneider
Journal:  Int J Environ Res Public Health       Date:  2022-03-18       Impact factor: 3.390

  8 in total

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