Literature DB >> 35025077

Identifying criminals: No biasing effect of criminal context on recalled threat.

Terence J McElvaney1, Magda Osman2, Isabelle Mareschal3.   

Abstract

To date, it is still unclear whether there is a systematic pattern in the errors made in eyewitness recall and whether certain features of a person are more likely to lead to false identification. Moreover, we also do not know the extent of systematic errors impacting identification of a person from their body rather than solely their face. To address this, based on the contextual model of eyewitness identification (CMEI; Osborne & Davies, 2014, Applied Cognitive Psychology, 28[3], 392-402), we hypothesized that having framed a target as a perpetrator of a violent crime, participants would recall that target person as appearing more like a stereotypical criminal (i.e., more threatening). In three separate experiments, participants were first presented with either no frame, a neutral frame, or a criminal frame (perpetrators of a violent crime) accompanying a target (either a face or body). Participants were then asked to identify the original target from a selection of people that varied in facial threat or body musculature. Contrary to our hypotheses, we found no evidence of bias. However, identification accuracy was highest for the most threatening target bodies high in musculature, as well as bodies paired with detailed neutral contextual information. Overall, these findings suggest that while no systematic bias exists in the recall of criminal bodies, the nature of the body itself and the context in which it is presented can significantly impact identification accuracy.
© 2022. The Author(s).

Entities:  

Keywords:  Context effects; Memory; Perception; Priming

Year:  2022        PMID: 35025077     DOI: 10.3758/s13421-021-01268-w

Source DB:  PubMed          Journal:  Mem Cognit        ISSN: 0090-502X


  39 in total

1.  Eyewitness identification in actual criminal cases: an archival analysis.

Authors:  B W Behrman; S L Davey
Journal:  Law Hum Behav       Date:  2001-10

2.  Angry, disgusted, or afraid? Studies on the malleability of emotion perception.

Authors:  Hillel Aviezer; Ran R Hassin; Jennifer Ryan; Cheryl Grady; Josh Susskind; Adam Anderson; Morris Moscovitch; Shlomo Bentin
Journal:  Psychol Sci       Date:  2008-07

3.  Priming, Replication, and the Hardest Science.

Authors:  Joseph Cesario
Journal:  Perspect Psychol Sci       Date:  2014-01

4.  Why eyewitnesses fail.

Authors:  Thomas D Albright
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-25       Impact factor: 11.205

5.  Body cues, not facial expressions, discriminate between intense positive and negative emotions.

Authors:  Hillel Aviezer; Yaacov Trope; Alexander Todorov
Journal:  Science       Date:  2012-11-30       Impact factor: 47.728

6.  Changing faces: visual and non-visual coding processes in face recognition.

Authors:  V Bruce
Journal:  Br J Psychol       Date:  1982-02

7.  Holistic person processing: faces with bodies tell the whole story.

Authors:  Hillel Aviezer; Yaacov Trope; Alexander Todorov
Journal:  J Pers Soc Psychol       Date:  2012-02-20

8.  Making sense of misfortune: deservingness, self-esteem, and patterns of self-defeat.

Authors:  Mitchell J Callan; Aaron C Kay; Rael J Dawtry
Journal:  J Pers Soc Psychol       Date:  2014-07

9.  Super-recognisers in Action: Evidence from Face-matching and Face Memory Tasks.

Authors:  Anna K Bobak; Peter J B Hancock; Sarah Bate
Journal:  Appl Cogn Psychol       Date:  2015-10-20

10.  How Well Do Computer-Generated Faces Tap Face Expertise?

Authors:  Kate Crookes; Louise Ewing; Ju-Dith Gildenhuys; Nadine Kloth; William G Hayward; Matt Oxner; Stephen Pond; Gillian Rhodes
Journal:  PLoS One       Date:  2015-11-04       Impact factor: 3.240

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