Drift–diffusion modeling reveals that masked faces are preconceived as unfriendly

Abstract During the COVID-19 pandemic, the use of face masks has become a daily routine. Studies have shown that face masks increase the ambiguity of facial expressions which not only affects (the development of) emotion recognition, but also interferes with social interaction and judgement. To disa...

Full description

Bibliographic Details
Main Authors: Martijn J. Mulder, Franziska Prummer, David Terburg, J. Leon Kenemans
Format: Article
Language:English
Published: Nature Portfolio 2023-10-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-44162-y
_version_ 1797452646540378112
author Martijn J. Mulder
Franziska Prummer
David Terburg
J. Leon Kenemans
author_facet Martijn J. Mulder
Franziska Prummer
David Terburg
J. Leon Kenemans
author_sort Martijn J. Mulder
collection DOAJ
description Abstract During the COVID-19 pandemic, the use of face masks has become a daily routine. Studies have shown that face masks increase the ambiguity of facial expressions which not only affects (the development of) emotion recognition, but also interferes with social interaction and judgement. To disambiguate facial expressions, we rely on perceptual (stimulus-driven) as well as preconceptual (top-down) processes. However, it is unknown which of these two mechanisms accounts for the misinterpretation of masked expressions. To investigate this, we asked participants (N = 136) to decide whether ambiguous (morphed) facial expressions, with or without a mask, were perceived as friendly or unfriendly. To test for the independent effects of perceptual and preconceptual biases we fitted a drift–diffusion model (DDM) to the behavioral data of each participant. Results show that face masks induce a clear loss of information leading to a slight perceptual bias towards friendly choices, but also a clear preconceptual bias towards unfriendly choices for masked faces. These results suggest that, although face masks can increase the perceptual friendliness of faces, people have the prior preconception to interpret masked faces as unfriendly.
first_indexed 2024-03-09T15:11:39Z
format Article
id doaj.art-56fbc9e6fcc049fc80d7653064bc473f
institution Directory Open Access Journal
issn 2045-2322
language English
last_indexed 2024-03-09T15:11:39Z
publishDate 2023-10-01
publisher Nature Portfolio
record_format Article
series Scientific Reports
spelling doaj.art-56fbc9e6fcc049fc80d7653064bc473f2023-11-26T13:20:51ZengNature PortfolioScientific Reports2045-23222023-10-0113111110.1038/s41598-023-44162-yDrift–diffusion modeling reveals that masked faces are preconceived as unfriendlyMartijn J. Mulder0Franziska Prummer1David Terburg2J. Leon Kenemans3Department of Experimental Psychology, Helmholtz Institute, Utrecht UniversitySchool of Computing and Communications, Lancaster UniversityDepartment of Experimental Psychology, Helmholtz Institute, Utrecht UniversityDepartment of Experimental Psychology, Helmholtz Institute, Utrecht UniversityAbstract During the COVID-19 pandemic, the use of face masks has become a daily routine. Studies have shown that face masks increase the ambiguity of facial expressions which not only affects (the development of) emotion recognition, but also interferes with social interaction and judgement. To disambiguate facial expressions, we rely on perceptual (stimulus-driven) as well as preconceptual (top-down) processes. However, it is unknown which of these two mechanisms accounts for the misinterpretation of masked expressions. To investigate this, we asked participants (N = 136) to decide whether ambiguous (morphed) facial expressions, with or without a mask, were perceived as friendly or unfriendly. To test for the independent effects of perceptual and preconceptual biases we fitted a drift–diffusion model (DDM) to the behavioral data of each participant. Results show that face masks induce a clear loss of information leading to a slight perceptual bias towards friendly choices, but also a clear preconceptual bias towards unfriendly choices for masked faces. These results suggest that, although face masks can increase the perceptual friendliness of faces, people have the prior preconception to interpret masked faces as unfriendly.https://doi.org/10.1038/s41598-023-44162-y
spellingShingle Martijn J. Mulder
Franziska Prummer
David Terburg
J. Leon Kenemans
Drift–diffusion modeling reveals that masked faces are preconceived as unfriendly
Scientific Reports
title Drift–diffusion modeling reveals that masked faces are preconceived as unfriendly
title_full Drift–diffusion modeling reveals that masked faces are preconceived as unfriendly
title_fullStr Drift–diffusion modeling reveals that masked faces are preconceived as unfriendly
title_full_unstemmed Drift–diffusion modeling reveals that masked faces are preconceived as unfriendly
title_short Drift–diffusion modeling reveals that masked faces are preconceived as unfriendly
title_sort drift diffusion modeling reveals that masked faces are preconceived as unfriendly
url https://doi.org/10.1038/s41598-023-44162-y
work_keys_str_mv AT martijnjmulder driftdiffusionmodelingrevealsthatmaskedfacesarepreconceivedasunfriendly
AT franziskaprummer driftdiffusionmodelingrevealsthatmaskedfacesarepreconceivedasunfriendly
AT davidterburg driftdiffusionmodelingrevealsthatmaskedfacesarepreconceivedasunfriendly
AT jleonkenemans driftdiffusionmodelingrevealsthatmaskedfacesarepreconceivedasunfriendly