The Super-Recogniser Advantage Extends to the Detection of Hyper-Realistic Face Masks

Saved in:
Bibliographic Details
Title: The Super-Recogniser Advantage Extends to the Detection of Hyper-Realistic Face Masks
Language: English
Authors: David J. Robertson (ORCID 0000-0002-8393-951X), Josh P. Davis (ORCID 0000-0003-0017-7159), Jet G. Sanders, Alice Towler (ORCID 0000-0003-4092-8703)
Source: Applied Cognitive Psychology. 2024 38(4).
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 13
Publication Date: 2024
Document Type: Journal Articles
Reports - Research
Descriptors: Self Concept, Deception, Crime, Human Body, Clothing, Identification, Task Analysis, Individual Characteristics
DOI: 10.1002/acp.4222
ISSN: 0888-4080
1099-0720
Abstract: Hyper-realistic silicone masks provide a viable route to identity fraud. Over the last decade, more than 40 known criminal acts have been committed by perpetrators using this type of disguise. With the increasing availability and bespoke sophistication of these masks, research must now focus on ways to enhance their detection. In this study, we investigate whether super-recognisers (SRs), people who excel at identity recognition, are more likely to detect this type of fraud, in comparison to typical-recogniser controls. Across three tasks, we examined mask detection rates in the absence of a pre-task prompt (covert task), and again after making participants aware of their use in criminal settings (explicit task). Finally, participants were asked to indicate which aspects of the masks could support their detection (regions of interest task). The findings show an SR advantage for the detection of hyper-realistic masks across the covert and explicit mask detection tasks. In addition, the eye, mouth, and nose regions appear to be particularly indicative of the presence of a mask. The lack of natural skin texture, proportional features, expressiveness, and asymmetry are also salient cues. The theoretical and applied implications of these findings are discussed.
Abstractor: As Provided
Notes: https://osf.io/uhb7f
Entry Date: 2024
Accession Number: EJ1436675
Database: ERIC
Full text is not displayed to guests.
Description
Abstract:Hyper-realistic silicone masks provide a viable route to identity fraud. Over the last decade, more than 40 known criminal acts have been committed by perpetrators using this type of disguise. With the increasing availability and bespoke sophistication of these masks, research must now focus on ways to enhance their detection. In this study, we investigate whether super-recognisers (SRs), people who excel at identity recognition, are more likely to detect this type of fraud, in comparison to typical-recogniser controls. Across three tasks, we examined mask detection rates in the absence of a pre-task prompt (covert task), and again after making participants aware of their use in criminal settings (explicit task). Finally, participants were asked to indicate which aspects of the masks could support their detection (regions of interest task). The findings show an SR advantage for the detection of hyper-realistic masks across the covert and explicit mask detection tasks. In addition, the eye, mouth, and nose regions appear to be particularly indicative of the presence of a mask. The lack of natural skin texture, proportional features, expressiveness, and asymmetry are also salient cues. The theoretical and applied implications of these findings are discussed.
ISSN:0888-4080
1099-0720
DOI:10.1002/acp.4222