Publication
Behind the Mask: Emotion Recognition in Healthcare Students
Downloadable Content
- Persistent URL
- Last modified
- 05/20/2025
- Type of Material
- Authors
- Language
- English
- Date
- 2021-08-01
- Publisher
- Emory University Libraries
- Publication Version
- Copyright Statement
- © International Association of Medical Science Educators 2021
- License
- Final Published Version (URL)
- Title of Journal or Parent Work
- Volume
- 31
- Issue
- 4
- Start Page
- 1273
- End Page
- 1277
- Grant/Funding Information
- This study was supported by the University of Milano-Bicocca [grant number: 2020-ATE-0171].
- 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.
- Author Notes
- Keywords
- Research Categories
- Psychology, General
- Health Sciences, Medicine and Surgery
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Publication File - vwrh0.pdf | Primary Content | 2025-05-16 | Public | Download |