09:30 - 11:00
Sat-PS7
Chair/s:
Ana Macanovic
Room: Floor 2, Auditorium 2
Astrid Hopfensitz - SMILES BEHIND A MASK ARE DETECTABLE AND AFFECT JUDGMENTS OF ATTRACTIVENESS, TRUSTWORTHINESS, AND COMPETENCE
Michael Rojek-Giffin - Experience-based Learning of Whom to Trust
Ana Macanovic - The Moral Embeddedness of Cryptomarkets: Text Mining Feedback on Economic Exchanges on the Dark Web
SMILES BEHIND A MASK ARE DETECTABLE AND AFFECT JUDGMENTS OF ATTRACTIVENESS, TRUSTWORTHINESS, AND COMPETENCE
Astrid Hopfensitz 1, Cesar Mantilla 2
1 emlyon business school
2 Universidad del Rosario
Smiling is a popular and powerful facial signal used to influence how we are judged and evaluated by others. The recent COVID pandemic made the use of facemasks common around the world. Since facemasks, when properly worn, cover the lower half of the face, a common concern with them is that they inhibit our ability to signal to others through facial expressions like smiles. In this paper, we show through three subsequent studies that smiling faces are easily distinguished from neutral faces even if the person is wearing a face mask (Study 1, N=1814). We further show that smiling behind a facemask significantly influences ratings regarding attractiveness, trustworthiness, and competence (Study 2, N=250). We finally show that individuals with about 18 months of experience with facemasks are well aware that smiling behind facemasks will influence ratings regarding attractiveness and trustworthiness by others (Study 3, N=94). Together, our studies provide evidence that facemasks should not be seen as a threat that inhibits simple non-verbal communication through smiles.