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Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

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More human than human: a Turing test for photographed faces.

Jet Gabrielle Sanders^1,2, Yoshiyuki Ueda³, Sakiko Yoshikawa³

¹Department of Psychology, University of York, York, UK. J.G.Sanders@lse.ac.uk.

Cognitive Research: Principles and Implications

|November 22, 2019

Summary

Hyper-realistic face masks are difficult to detect, even in photos. Viewers could not reliably distinguish masks from real faces, impacting security and identity verification.

Keywords:

2AFC Deliberate disguise Hyper-realistic face masks Other-race effect Silicone masks Synthetic faces Turing test

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Area of Science:

Cognitive psychology
Forensic science
Computer vision

Background:

Hyper-realistic face masks can be mistaken for real faces in live settings.
Live viewing introduces social context, potentially influencing perception.
Previous studies focused on live viewing, necessitating controlled conditions.

Purpose of the Study:

To assess the ability to distinguish hyper-realistic masks from real faces in photographic presentations.
To remove social context influencing perception in live viewing scenarios.
To evaluate the impact of viewing time on mask detection accuracy.

Main Methods:

Utilized a computerized two-alternative forced choice (2AFC) procedure.
Presented photographic stimuli of hyper-realistic masks and real faces.
Manipulated viewing time (500ms vs. unlimited) and compared own-race vs. other-race face perception.

Main Results:

Participants exhibited significant error rates in distinguishing masks from real faces.
Error rates were 33% with 500ms viewing time and 20% with unlimited time.
A performance cost was observed for other-race comparisons in both experiments.

Conclusions:

Viewers cannot reliably differentiate hyper-realistic masks from real faces in photographic formats.
Failure to detect synthetic faces has critical implications for security and crime prevention.
Facial recognition systems and identity verification may be compromised by advanced mask technology.