Ontology highlight
ABSTRACT: Background
Recent experimental work has shown that hyper-realistic face masks can pass for real faces during live viewing. However, live viewing embeds the perceptual task (mask detection) in a powerful social context that may influence respondents' behaviour. To remove this social context, we assessed viewers' ability to distinguish photos of hyper-realistic masks from photos of real faces in a computerised two-alternative forced choice (2AFC) procedure.Results
In experiment 1 (N?=?120), we observed an error rate of 33% when viewing time was restricted to 500?ms. In experiment 2 (N?=?120), we observed an error rate of 20% when viewing time was unlimited. In both experiments we saw a significant performance cost for other-race comparisons relative to own-race comparisons.Conclusions
We conclude that viewers could not reliably distinguish hyper-realistic face masks from real faces in photographic presentations. As well as its theoretical interest, failure to detect synthetic faces has important implications for security and crime prevention, which often rely on facial appearance and personal identity being related.
SUBMITTER: Sanders JG
PROVIDER: S-EPMC6868074 | biostudies-literature | 2019 Nov
REPOSITORIES: biostudies-literature
Sanders Jet Gabrielle JG Ueda Yoshiyuki Y Yoshikawa Sakiko S Jenkins Rob R
Cognitive research: principles and implications 20191121 1
<h4>Background</h4>Recent experimental work has shown that hyper-realistic face masks can pass for real faces during live viewing. However, live viewing embeds the perceptual task (mask detection) in a powerful social context that may influence respondents' behaviour. To remove this social context, we assessed viewers' ability to distinguish photos of hyper-realistic masks from photos of real faces in a computerised two-alternative forced choice (2AFC) procedure.<h4>Results</h4>In experiment 1 ( ...[more]