Literature DB >> 34159512

GFMT2: A psychometric measure of face matching ability.

David White1, Daniel Guilbert2, Victor P L Varela3, Rob Jenkins4, A Mike Burton4.   

Abstract

We present an expanded version of a widely used measure of unfamiliar face matching ability, the Glasgow Face Matching Test (GFMT). The GFMT2 is created using the same source database as the original test but makes five key improvements. First, the test items include variation in head angle, pose, expression and subject-to-camera distance, making the new test more difficult and more representative of challenges in everyday face identification tasks. Second, short and long versions of the test each contain two forms that are calibrated to be of equal difficulty, allowing repeat tests to be performed to examine effects of training interventions. Third, the short-form tests contain no repeating face identities, thereby removing any confounding effects of familiarity that may have been present in the original test. Fourth, separate short versions are created to target exceptionally high performing or exceptionally low performing individuals using established psychometric principles. Fifth, all tests are implemented in an executable program, allowing them to be administered automatically. All tests are available free for scientific use via www.gfmt2.org .
© 2021. The Psychonomic Society, Inc.

Entities:  

Keywords:  Congenital prosopagnosia; Developmental prosopagnosia; Expertise; Face perception; Facial image comparison; Facial recognition; Perceptual expertise; Super-recognizers; Unfamiliar face matching

Mesh:

Year:  2021        PMID: 34159512     DOI: 10.3758/s13428-021-01638-x

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  2 in total

1.  Statistical feature training improves fingerprint-matching accuracy in novices and professional fingerprint examiners.

Authors:  Bethany Growns; Alice Towler; James D Dunn; Jessica M Salerno; N J Schweitzer; Itiel E Dror
Journal:  Cogn Res Princ Implic       Date:  2022-07-16

2.  Match me if you can: Evidence for a domain-general visual comparison ability.

Authors:  Bethany Growns; James D Dunn; Erwin J A T Mattijssen; Adele Quigley-McBride; Alice Towler
Journal:  Psychon Bull Rev       Date:  2022-01-07
  2 in total

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