Literature DB >> 23162788

A cross-race effect in metamemory: Predictions of face recognition are more accurate for members of our own race.

Kathleen L Hourihan1, Aaron S Benjamin, Xiping Liu.   

Abstract

The Cross-Race Effect (CRE) in face recognition is the well-replicated finding that people are better at recognizing faces from their own race, relative to other races. The CRE reveals systematic limitations on eyewitness identification accuracy and suggests that some caution is warranted in evaluating cross-race identification. The CRE is a problem because jurors value eyewitness identification highly in verdict decisions. In the present paper, we explore how accurate people are in predicting their ability to recognize own-race and other-race faces. Caucasian and Asian participants viewed photographs of Caucasian and Asian faces, and made immediate judgments of learning during study. An old/new recognition test replicated the CRE: both groups displayed superior discriminability of own-race faces, relative to other-race faces. Importantly, relative metamnemonic accuracy was also greater for own-race faces, indicating that the accuracy of predictions about face recognition is influenced by race. This result indicates another source of concern when eliciting or evaluating eyewitness identification: people are less accurate in judging whether they will or will not recognize a face when that face is of a different race than they are. This new result suggests that a witness's claim of being likely to recognize a suspect from a lineup should be interpreted with caution when the suspect is of a different race than the witness.

Entities:  

Year:  2012        PMID: 23162788      PMCID: PMC3496291          DOI: 10.1016/j.jarmac.2012.06.004

Source DB:  PubMed          Journal:  J Appl Res Mem Cogn        ISSN: 2211-3681


  14 in total

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Authors:  Kurt Hugenberg; Steven G Young; Michael J Bernstein; Donald F Sacco
Journal:  Psychol Rev       Date:  2010-10       Impact factor: 8.934

2.  Towards an exemplar model of face processing: the effects of race and distinctiveness.

Authors:  T Valentine; M Endo
Journal:  Q J Exp Psychol A       Date:  1992-05

3.  A lifespan database of adult facial stimuli.

Authors:  Meredith Minear; Denise C Park
Journal:  Behav Res Methods Instrum Comput       Date:  2004-11

4.  A unified account of the effects of distinctiveness, inversion, and race in face recognition.

Authors:  T Valentine
Journal:  Q J Exp Psychol A       Date:  1991-05

5.  Sources of bias in the Goodman-Kruskal gamma coefficient measure of association: implications for studies of metacognitive processes.

Authors:  Michael E J Masson; Caren M Rotello
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2009-03       Impact factor: 3.051

6.  Pragmatics of measuring recognition memory: applications to dementia and amnesia.

Authors:  J G Snodgrass; J Corwin
Journal:  J Exp Psychol Gen       Date:  1988-03

7.  WHAT PREDICTS THE OWN-AGE BIAS IN FACE RECOGNITION MEMORY?

Authors:  Yi He; Natalie C Ebner; Marcia K Johnson
Journal:  Soc Cogn       Date:  2011-01-27

8.  Life span adult faces: norms for age, familiarity, memorability, mood, and picture quality.

Authors:  Kristen M Kennedy; Kelly Hope; Naftali Raz
Journal:  Exp Aging Res       Date:  2009 Apr-Jun       Impact factor: 1.645

9.  Aging and recollection in the accuracy of judgments of learning.

Authors:  Karen A Daniels; Jeffrey P Toth; Christopher Hertzog
Journal:  Psychol Aging       Date:  2009-06

10.  Deficits in cross-race face learning: insights from eye movements and pupillometry.

Authors:  Stephen D Goldinger; Yi He; Megan H Papesh
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2009-09       Impact factor: 3.051

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  6 in total

1.  Same faces, different labels: generating the cross-race effect in face memory with social category information.

Authors:  Kathleen L Hourihan; Scott H Fraundorf; Aaron S Benjamin
Journal:  Mem Cognit       Date:  2013-10

2.  Self-pacing study of faces of different races: metacognitive control over study does not eliminate the cross-race recognition effect.

Authors:  Jonathan G Tullis; Aaron S Benjamin; Xiping Liu
Journal:  Mem Cognit       Date:  2014-08

3.  The Effects of Alcohol Intoxication on Accuracy and the Confidence-Accuracy Relationship in Photographic Simultaneous Line-ups.

Authors:  Heather D Flowe; Melissa F Colloff; Nilda Karoğlu; Katarzyna Zelek; Hannah Ryder; Joyce E Humphries; Melanie K T Takarangi
Journal:  Appl Cogn Psychol       Date:  2017-06-27

4.  Postdictive confidence (but not predictive confidence) predicts eyewitness memory accuracy.

Authors:  Thao B Nguyen; Erica Abed; Kathy Pezdek
Journal:  Cogn Res Princ Implic       Date:  2018-08-29

5.  Human perception and biosignal-based identification of posed and spontaneous smiles.

Authors:  Monica Perusquía-Hernández; Saho Ayabe-Kanamura; Kenji Suzuki
Journal:  PLoS One       Date:  2019-12-12       Impact factor: 3.240

6.  Biased Face Recognition Technology Used by Government: A Problem for Liberal Democracy.

Authors:  Michael Gentzel
Journal:  Philos Technol       Date:  2021-09-25
  6 in total

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