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      The Emotional Path to Action: Empathy Promotes Physical Distancing and Wearing of Face Masks During the COVID-19 Pandemic

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          Abstract

          The COVID-19 pandemic presents a major challenge to societies all over the globe. Two measures implemented in many countries to curb the spread of the disease are (a) minimizing close contact between people (“physical distancing”) and (b) wearing of face masks. In the present research, we tested the idea that physical distancing and wearing of face masks can be the result of a prosocial emotional process—empathy for people most vulnerable to the virus. In four preregistered studies ( N = 3,718, Western population), we found that (a) empathy indeed relates to the motivation to adhere to physical distancing and to wearing face masks and (b) inducing empathy for people most vulnerable to the virus promotes the motivation to adhere to these measures (whereas merely providing information about the importance of the measures does not). In sum, the present research provides a better understanding of the factors underlying the willingness to follow two important measures during the COVID-19 pandemic.

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          Author and article information

          Contributors
          (View ORCID Profile)
          (View ORCID Profile)
          Journal
          Psychological Science
          Psychol Sci
          SAGE Publications
          0956-7976
          1467-9280
          September 29 2020
          : 095679762096442
          Affiliations
          [1 ]Department of Psychology and Behavioural Sciences, Aarhus University
          [2 ]Department of Social Psychology, Ulm University
          [3 ]Department of Psychology, University of Copenhagen
          [4 ]Department of Economics, University of Copenhagen
          [5 ]Copenhagen Center for Social Data Science (SODAS), University of Copenhagen
          [6 ]Department of Political Science, Aarhus University
          Article
          10.1177/0956797620964422
          32993455
          7eb6583a-43fc-4a29-a845-65f1e89f2788
          © 2020

          http://journals.sagepub.com/page/policies/text-and-data-mining-license

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