Skip to main content

Examples Improve Facial Identity Comparison

Gentry, Natalie W., Bindemann, Markus (2019) Examples Improve Facial Identity Comparison. Journal of Applied Research in Memory and Cognition, 8 (3). pp. 376-385. ISSN 2211-3681. (doi:doi.org/10.1016/j.jarmac.2019.06.002) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided)

PDF - Author's Accepted Manuscript
Restricted to Repository staff only until 4 September 2020.

Creative Commons Licence
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Contact us about this Publication Download (1MB)
[img]
Official URL
https://doi.org/10.1016/j.jarmac.2019.06.002

Abstract

Everyday security tasks, such as passport control, require comparison of peoples’ faces with portrait photographs to assert their identities. These facial comparisons can be very difficult, even for experienced personnel who conduct these identifications regularly. This study investigated whether the provision of defined examples, labelled clearly as identity matches or mismatches, improves the accuracy of facial image comparison. Examples increased accuracy compared to a no-examples control group, especially in individuals who were initially least good at performing facial comparisons. This benefit persisted after examples were withdrawn. We suggest that people have inherently poor criteria for making facial comparisons due to the many ways in which faces can vary. Provision of examples might improve accuracy by supplying criteria for facial comparison that participants would otherwise have to deduce by their own judgement.

Item Type: Article
DOI/Identification number: doi.org/10.1016/j.jarmac.2019.06.002
Uncontrolled keywords: face matching, identity comparison, examples, improvement, individual differences, training
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Divisions: Faculties > Social Sciences > School of Psychology > Cognitive Psychology
Depositing User: Markus Bindemann
Date Deposited: 09 Sep 2019 12:29 UTC
Last Modified: 10 Sep 2019 14:56 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/76285 (The current URI for this page, for reference purposes)
  • Depositors only (login required):

Downloads

Downloads per month over past year