Davis, Josh P. ORCID: 0000-0003-0017-7159, Treml, Felicia, Forrest, Charlotte and Jansari, Ashok (2018) Evaluating police super-recogniser’s ability to spot persons of interest in videoed crowds. In: British Psychological Society: Cognitive Section Annual Conference, 30 August 2019, Liverpool Hope University. (Submitted)

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Abstract

Police worldwide review CCTV evidence in an attempt to identify persons of interest. This research aimed to replicate this process by testing London Metropolitan Police Service officers (n = 99), some with exceptional face ‘super-recognition’ abilities, and extensive experience of CCTV review, and non-police controls (n = 152) at their ability to identify target-actors in a Spot the Face in a Crowd Test (SFCT). Super-recogniser police with CCTV review experience, were, with higher levels of confidence, more likely than controls to identity target actors in the SFCT. Confidence was diagnostic of accuracy as super-recogniser unit police also made fewer false identifications with lower levels of confidence of bystanders. Police were also less likely to make change blindness errors in a follow up video test depicting a police vehicle stop in which one actor is replaced by a second. Controls who took part in SFCT actor familiarisation training outperformed untrained controls, suggesting this exercise might enhance identification of persons of interest in real investigations. Follow-up research is investigating the ability of super-recognisers to identity persons of interest in real time, and assisting police to deploy officers to roles and operations in which their superior skills can best be employed.

Item Type:	Conference or Conference Paper (Paper)
Uncontrolled Keywords:	Super-recognisers
Subjects:	B Philosophy. Psychology. Religion > BF Psychology
Faculty / School / Research Centre / Research Group:	Faculty of Education, Health & Human Sciences Faculty of Education, Health & Human Sciences > Applied Psychology Research Group Faculty of Education, Health & Human Sciences > School of Human Sciences (HUM)
Last Modified:	06 Jan 2020 17:01
URI:	http://gala.gre.ac.uk/id/eprint/26440

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