Literature DB >> 28872661

The Kent Face Matching Test.

Matthew C Fysh1, Markus Bindemann1.   

Abstract

This study presents the Kent Face Matching Test (KFMT), which comprises 200 same-identity and 20 different-identity pairs of unfamiliar faces. Each face pair consists of a photograph from a student ID card and a high-quality portrait that was taken at least three months later. The test is designed to complement existing resources for face-matching research, by providing a more ecologically valid stimulus set that captures the natural variability that can arise in a person's appearance over time. Two experiments are presented to demonstrate that the KFMT provides a challenging measure of face matching but correlates with established tests. Experiment 1 compares a short version of this test with the optimized Glasgow Face Matching Test (GFMT). In Experiment 2, a longer version of the KFMT, with infrequent identity mismatches, is correlated with performance on the Cambridge Face Memory Test (CFMT) and the Cambridge Face Perception Test (CFPT). The KFMT is freely available for use in face-matching research.
© 2017 The British Psychological Society.

Entities:  

Keywords:  face; matching; test; unfamiliar

Mesh:

Year:  2017        PMID: 28872661     DOI: 10.1111/bjop.12260

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


  12 in total

1.  The relation between holistic processing as measured by three composite tasks and face processing: A latent variable modeling approach.

Authors:  Paulo Ventura; Vince Ngan; Alexandre Pereira; Francisco Cruz; José C Guerreiro; Vivienne Rosário; João Delgado; Bruno Faustino; Marta Barros; Miguel Domingues; Alan Wong
Journal:  Atten Percept Psychophys       Date:  2022-08-01       Impact factor: 2.157

2.  UNSW Face Test: A screening tool for super-recognizers.

Authors:  James D Dunn; Stephanie Summersby; Alice Towler; Josh P Davis; David White
Journal:  PLoS One       Date:  2020-11-16       Impact factor: 3.240

3.  Use-inspired basic research on individual differences in face identification: implications for criminal investigation and security.

Authors:  Karen Lander; Vicki Bruce; Markus Bindemann
Journal:  Cogn Res Princ Implic       Date:  2018-06-27

4.  Human-Computer Interaction in Face Matching.

Authors:  Matthew C Fysh; Markus Bindemann
Journal:  Cogn Sci       Date:  2018-06-28

5.  Unfamiliar face matching with photographs of infants and children.

Authors:  Robin S S Kramer; Jerrica Mulgrew; Michael G Reynolds
Journal:  PeerJ       Date:  2018-06-11       Impact factor: 2.984

6.  Normative data for two challenging tests of face matching under ecological conditions.

Authors:  Lisa Stacchi; Eva Huguenin-Elie; Roberto Caldara; Meike Ramon
Journal:  Cogn Res Princ Implic       Date:  2020-02-19

7.  Individual differences in the detection, matching and memory of faces.

Authors:  Matthew C Fysh
Journal:  Cogn Res Princ Implic       Date:  2018-06-27

8.  Photo ID verification remains challenging despite years of practice.

Authors:  Megan H Papesh
Journal:  Cogn Res Princ Implic       Date:  2018-06-27

9.  Individual differences in eyewitness accuracy across multiple lineups of faces.

Authors:  Andrew J Russ; Melanie Sauerland; Charlotte E Lee; Markus Bindemann
Journal:  Cogn Res Princ Implic       Date:  2018-08-08

Review 10.  Forensic Facial Comparison: Current Status, Limitations, and Future Directions.

Authors:  Nicholas Bacci; Joshua G Davimes; Maryna Steyn; Nanette Briers
Journal:  Biology (Basel)       Date:  2021-12-03
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