Literature DB >> 25393594

Unfamiliar face matching: Pairs out-perform individuals and provide a route to training.

Andrew J Dowsett1, A Mike Burton1.   

Abstract

Matching unfamiliar faces is known to be difficult. Here, we ask whether performance can be improved by asking viewers to work in pairs, a manipulation known to increase accuracy for low-level visual discrimination tasks. Across four experiments we consistently find that face matching accuracy is higher for pairs of viewers than for individuals. This 'pairs advantage' is generally driven by adopting the response of the higher scoring partner. However, when the task becomes difficult, both partners' performance is improved by working in a pair. In two experiments, we find evidence that working in a pair can lead to subsequent improvements in individual performance, specifically for viewers whose accuracy is initially low. The pairs' technique therefore offers the opportunity for substantial improvements in face matching performance, along with an added training benefit.
© 2014 The British Psychological Society.

Keywords:  Face recognition; identity verification; perception in groups; unfamiliar face matching

Mesh:

Year:  2014        PMID: 25393594     DOI: 10.1111/bjop.12103

Source DB:  PubMed          Journal:  Br J Psychol        ISSN: 0007-1269


  17 in total

1.  The pairs training effect in unfamiliar face matching.

Authors:  Kay L Ritchie; Tessa R Flack; Elizabeth A Fuller; Charlotte Cartledge; Robin S S Kramer
Journal:  Perception       Date:  2022-05-17       Impact factor: 1.695

2.  Error Rates in Users of Automatic Face Recognition Software.

Authors:  David White; James D Dunn; Alexandra C Schmid; Richard I Kemp
Journal:  PLoS One       Date:  2015-10-14       Impact factor: 3.240

3.  Face Recognition by Metropolitan Police Super-Recognisers.

Authors:  David J Robertson; Eilidh Noyes; Andrew J Dowsett; Rob Jenkins; A Mike Burton
Journal:  PLoS One       Date:  2016-02-26       Impact factor: 3.240

4.  Improving face identification with specialist teams.

Authors:  Tarryn Balsdon; Stephanie Summersby; Richard I Kemp; David White
Journal:  Cogn Res Princ Implic       Date:  2018-06-27

5.  Learning context and the other-race effect: Strategies for improving face recognition.

Authors:  Jacqueline G Cavazos; Eilidh Noyes; Alice J O'Toole
Journal:  Vision Res       Date:  2018-04-06       Impact factor: 1.886

6.  Solving the Border Control Problem: Evidence of Enhanced Face Matching in Individuals with Extraordinary Face Recognition Skills.

Authors:  Anna Katarzyna Bobak; Andrew James Dowsett; Sarah Bate
Journal:  PLoS One       Date:  2016-02-01       Impact factor: 3.240

7.  Feature instructions improve face-matching accuracy.

Authors:  Ahmed M Megreya; Markus Bindemann
Journal:  PLoS One       Date:  2018-03-15       Impact factor: 3.240

8.  Individual differences in face identity processing.

Authors:  Jennifer M McCaffery; David J Robertson; Andrew W Young; A Mike Burton
Journal:  Cogn Res Princ Implic       Date:  2018-06-27

9.  Applied screening tests for the detection of superior face recognition.

Authors:  Sarah Bate; Charlie Frowd; Rachel Bennetts; Nabil Hasshim; Ebony Murray; Anna K Bobak; Harriet Wills; Sarah Richards
Journal:  Cogn Res Princ Implic       Date:  2018-06-27

10.  Detecting morphed passport photos: a training and individual differences approach.

Authors:  David J Robertson; Andrew Mungall; Derrick G Watson; Kimberley A Wade; Sophie J Nightingale; Stephen Butler
Journal:  Cogn Res Princ Implic       Date:  2018-06-27
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