Behind the Mask: Emotion Recognition in Healthcare Students

Marco Bani; Selena Russo; Stefano Ardenghi; Giulia Rampoldi; Virginia Wickline; Stephen Nowicki; Maria Grazia Strepparava

doi:10.1007/s40670-021-01317-8

Behind the Mask: Emotion Recognition in Healthcare Students

Marco Bani, Selena Russo, Stefano Ardenghi, Giulia Rampoldi, Virginia Wickline, Stephen Nowicki, Maria Grazia Strepparava

Psychology

Research output: Contribution to journal › Article › peer-review

37 Scopus citations

Abstract

Current widespread facemask usage profoundly impacts clinical practice and healthcare education where communicational dimensions are essential to the care and teaching processes. As part of a larger study, 208 medical and nursing students were randomly assigned to a masked vs unmasked version of the standardized facial emotion recognition task DANVA2. A significantly higher number of errors existed in the masked vs unmasked condition. Differences for happy, sad, and angry faces, but not for fearful faces, existed between conditions. Misinterpretation of facial emotions can severely affect doctor-patient and inter-professional communication in healthcare. Teaching communication in medical education must adapt to the current universal use of facemasks in professional settings.

Original language	English
Pages (from-to)	1273-1277
Number of pages	5
Journal	Medical Science Educator
Volume	31
Issue number	4
DOIs	https://doi.org/10.1007/s40670-021-01317-8
State	Published - Aug 2021

Keywords

DANVA2
Doctor patient communication
Emotion recognition
Facemask
Medical education

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10.1007/s40670-021-01317-8

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abstract = "Current widespread facemask usage profoundly impacts clinical practice and healthcare education where communicational dimensions are essential to the care and teaching processes. As part of a larger study, 208 medical and nursing students were randomly assigned to a masked vs unmasked version of the standardized facial emotion recognition task DANVA2. A significantly higher number of errors existed in the masked vs unmasked condition. Differences for happy, sad, and angry faces, but not for fearful faces, existed between conditions. Misinterpretation of facial emotions can severely affect doctor-patient and inter-professional communication in healthcare. Teaching communication in medical education must adapt to the current universal use of facemasks in professional settings.",

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AU - Bani, Marco

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AU - Nowicki, Stephen

AU - Strepparava, Maria Grazia

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Behind the Mask: Emotion Recognition in Healthcare Students

Abstract

Keywords

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