Improving Identity Matching for Masked Faces: The Benefit of Isolated Facial Features.

DOI

Masked perpetrators are difficult to recognize. In two experiments, we investigated ways of improving identity matching for masked perpetrators. Specifically, we evaluated the effectiveness of matching isolated facial features, namely the eyes (Experiment 1) and the mouth (Experiment 2). Participants viewed pairs of faces and determined whether they belonged to the same person or different individuals. In congruent sets, participants matched a full-face image to another full-face image or a masked image to an isolated feature. In incongruent sets, participants matched a full-face image to an image of the eyes or the mouth only or to a masked image. Matching accuracy was significantly better in congruent than incongruent sets and more so for image pairs that included isolated features. Overall, the two experiments showed that utilizing isolated facial features, such as the eyes or mouth, can be a valuable strategy for enhancing identity matching when dealing with masked perpetrators.

Identifier
DOI https://doi.org/10.34894/SLRNAH
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/SLRNAH
Provenance
Creator Zhang, Mengying ORCID logo; Sauerland, Melanie ORCID logo; Sagana, Anna ORCID logo
Publisher DataverseNL
Contributor faculty data manager FPN; Zhang, Mengying
Publication Year 2023
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact faculty data manager FPN (Maastricht University); Zhang, Mengying (Maastricht University)
Representation
Resource Type experimental data; Dataset
Format application/zip
Size 3251895; 2256505
Version 4.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences