Individual differences in hyper-realistic mask detection

Sanders, Jet G. and Jenkins, Rob (2018) Individual differences in hyper-realistic mask detection. Cognitive Research: Principles and Implicators, 3 (1). ISSN 2365-7464

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Abstract

Hyper-realistic masks present a new challenge to security and crime prevention. We have recently shown that people’s ability to differentiate these masks from real faces is extremely limited. Here we consider individual differences as a means to improve mask detection. Participants categorized single images as masks or real faces in a computer-based task. Experiment 1 revealed poor accuracy (40%) and large individual differences (5–100%) for high-realism masks among low-realism masks and real faces. Individual differences in mask categorization accuracy remained large when the Low-realism condition was eliminated (Experiment 2). Accuracy for mask images was not correlated with accuracy for real face images or with prior knowledge of hyper-realistic face masks. Image analysis revealed that mask and face stimuli were most strongly differentiated in the region below the eyes. Moreover, high-performing participants tracked the differential information in this area, but low-performing participants did not. Like other face tasks (e.g. identification), hyper-realistic mask detection gives rise to large individual differences in performance. Unlike many other face tasks, performance may be localized to a specific image cue.

Item Type:	Article
Official URL:	https://cognitiveresearchjournal.springeropen.com/
Additional Information:	© 2018 The Authors
Divisions:	Psychological and Behavioural Science
Subjects:	B Philosophy. Psychology. Religion > BF Psychology
Date Deposited:	19 Aug 2019 14:54
Last Modified:	27 Mar 2024 02:21
URI:	http://eprints.lse.ac.uk/id/eprint/101394

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