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.
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.
Below: Example trials from the Glasgow Face Matching Test (GFMT)
Below: Example trials from the PLT
By:
Department
of Psychology, University of York, York, United Kingdom
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