Literature DB >> 35133492

Diagnosing eyewitness identifications with reaction time-based concealed information test: the effect of observation time.

Melanie Sauerland1, Dave Koller2,3, Astrid Bastiaens4, Bruno Verschuere2.   

Abstract

Eyewitness identification procedures rely heavily on explicit identification from lineups. Lineups have been criticized because they have a considerable error rate. We tested the potential of implicit identifications in a Concealed Information Test (CIT) as an alternative. Previous experiments have suggested that implicit identification procedures might be suited when viewing conditions were favorable. In two experiments, mock eyewitnesses (Ns = 94, 509) witnessed a videotaped mock theft with longer or shorter observation time. We derived eyewitness identifications either implicitly from CIT reaction times or explicitly from simultaneous photo lineups. In Experiment 2, we also manipulated perpetrator presence. In both experiments, the perpetrator-present CIT showed capacity to diagnose face recognition, with large effect sizes (dE1 = 0.85 [0.51; 1.18]; dE2 = 0.74 [0.52; 0.96]), as expected. Unexpectedly, no moderation by observation time was found. In line with our hypothesis, no CIT effect emerged in the perpetrator-absent condition, indicating the absence of recognition (dE2 = 0.02 [- 0.17; 0.20]). We found no compelling evidence that one method would outperform the other. This work adds to accumulating evidence that suggests that, under favorable viewing conditions and replication provided, the RT-CIT might be diagnostic of facial recognition, for example when witnesses are hesitant of making an explicit identification. Future work might investigate conditions that affect performance in one, but not the other identification method.
© 2022. The Author(s).

Entities:  

Year:  2022        PMID: 35133492     DOI: 10.1007/s00426-022-01643-5

Source DB:  PubMed          Journal:  Psychol Res        ISSN: 0340-0727


  20 in total

1.  The truth-telling motor cortex: response competition in M1 discloses deceptive behaviour.

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3.  Determining eyewitness identification accuracy using event-related brain potentials (ERPs).

Authors:  C D Lefebvre; Y Marchand; S M Smith; J F Connolly
Journal:  Psychophysiology       Date:  2007-07-30       Impact factor: 4.016

4.  Regularities in eyewitness identification.

Authors:  Steven E Clark; Ryan T Howell; Sherrie L Davey
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5.  G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences.

Authors:  Franz Faul; Edgar Erdfelder; Albert-Georg Lang; Axel Buchner
Journal:  Behav Res Methods       Date:  2007-05

6.  Use of event-related brain potentials (ERPs) to assess eyewitness accuracy and deception.

Authors:  C D Lefebvre; Y Marchand; S M Smith; J F Connolly
Journal:  Int J Psychophysiol       Date:  2009-03-19       Impact factor: 2.997

7.  Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

Authors:  Franz Faul; Edgar Erdfelder; Axel Buchner; Albert-Georg Lang
Journal:  Behav Res Methods       Date:  2009-11

Review 8.  Eyewitness identification across the life span: A meta-analysis of age differences.

Authors:  Ryan J Fitzgerald; Heather L Price
Journal:  Psychol Bull       Date:  2015-05-25       Impact factor: 17.737

9.  Memory detection 2.0: the first web-based memory detection test.

Authors:  Bennett Kleinberg; Bruno Verschuere
Journal:  PLoS One       Date:  2015-04-13       Impact factor: 3.240

10.  Reaction time-based Concealed Information Test in eyewitness identification is moderated by picture similarity but not eyewitness cooperation.

Authors:  Katerina Georgiadou; Agatha Chronos; Bruno Verschuere; Melanie Sauerland
Journal:  Psychol Res       Date:  2019-01-11
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