Cargando…
Face Recognition by Metropolitan Police Super-Recognisers
Face recognition is used to prove identity across a wide variety of settings. Despite this, research consistently shows that people are typically rather poor at matching faces to photos. Some professional groups, such as police and passport officers, have been shown to perform just as poorly as the...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4769018/ https://www.ncbi.nlm.nih.gov/pubmed/26918457 http://dx.doi.org/10.1371/journal.pone.0150036 |
_version_ | 1782418039769137152 |
---|---|
author | Robertson, David J. Noyes, Eilidh Dowsett, Andrew J. Jenkins, Rob Burton, A. Mike |
author_facet | Robertson, David J. Noyes, Eilidh Dowsett, Andrew J. Jenkins, Rob Burton, A. Mike |
author_sort | Robertson, David J. |
collection | PubMed |
description | Face recognition is used to prove identity across a wide variety of settings. Despite this, research consistently shows that people are typically rather poor at matching faces to photos. Some professional groups, such as police and passport officers, have been shown to perform just as poorly as the general public on standard tests of face recognition. However, face recognition skills are subject to wide individual variation, with some people showing exceptional ability—a group that has come to be known as ‘super-recognisers’. The Metropolitan Police Force (London) recruits ‘super-recognisers’ from within its ranks, for deployment on various identification tasks. Here we test four working super-recognisers from within this police force, and ask whether they are really able to perform at levels above control groups. We consistently find that the police ‘super-recognisers’ perform at well above normal levels on tests of unfamiliar and familiar face matching, with degraded as well as high quality images. Recruiting employees with high levels of skill in these areas, and allocating them to relevant tasks, is an efficient way to overcome some of the known difficulties associated with unfamiliar face recognition. |
format | Online Article Text |
id | pubmed-4769018 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-47690182016-03-09 Face Recognition by Metropolitan Police Super-Recognisers Robertson, David J. Noyes, Eilidh Dowsett, Andrew J. Jenkins, Rob Burton, A. Mike PLoS One Research Article Face recognition is used to prove identity across a wide variety of settings. Despite this, research consistently shows that people are typically rather poor at matching faces to photos. Some professional groups, such as police and passport officers, have been shown to perform just as poorly as the general public on standard tests of face recognition. However, face recognition skills are subject to wide individual variation, with some people showing exceptional ability—a group that has come to be known as ‘super-recognisers’. The Metropolitan Police Force (London) recruits ‘super-recognisers’ from within its ranks, for deployment on various identification tasks. Here we test four working super-recognisers from within this police force, and ask whether they are really able to perform at levels above control groups. We consistently find that the police ‘super-recognisers’ perform at well above normal levels on tests of unfamiliar and familiar face matching, with degraded as well as high quality images. Recruiting employees with high levels of skill in these areas, and allocating them to relevant tasks, is an efficient way to overcome some of the known difficulties associated with unfamiliar face recognition. Public Library of Science 2016-02-26 /pmc/articles/PMC4769018/ /pubmed/26918457 http://dx.doi.org/10.1371/journal.pone.0150036 Text en © 2016 Robertson et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Robertson, David J. Noyes, Eilidh Dowsett, Andrew J. Jenkins, Rob Burton, A. Mike Face Recognition by Metropolitan Police Super-Recognisers |
title | Face Recognition by Metropolitan Police Super-Recognisers |
title_full | Face Recognition by Metropolitan Police Super-Recognisers |
title_fullStr | Face Recognition by Metropolitan Police Super-Recognisers |
title_full_unstemmed | Face Recognition by Metropolitan Police Super-Recognisers |
title_short | Face Recognition by Metropolitan Police Super-Recognisers |
title_sort | face recognition by metropolitan police super-recognisers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4769018/ https://www.ncbi.nlm.nih.gov/pubmed/26918457 http://dx.doi.org/10.1371/journal.pone.0150036 |
work_keys_str_mv | AT robertsondavidj facerecognitionbymetropolitanpolicesuperrecognisers AT noyeseilidh facerecognitionbymetropolitanpolicesuperrecognisers AT dowsettandrewj facerecognitionbymetropolitanpolicesuperrecognisers AT jenkinsrob facerecognitionbymetropolitanpolicesuperrecognisers AT burtonamike facerecognitionbymetropolitanpolicesuperrecognisers |