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Social motivation is associated with increased weight granted to cooperation-related impressions in face evaluation tasks

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  • Lou Safra
  • Nicolas Baumard
  • Valentin Wyart
  • Coralie Chevallier

Abstract

It is a trope in psychological science to define the human species as inherently social. Yet, despite its key role in human behaviour, the mechanisms by which social bonding actually shapes social behaviour have not been fully characterized. Across six studies, we show that the motivation for social bonding does not indiscriminately increase individuals’ willingness to approach others but that it is instead associated with specific variations in social evaluations. Studies 1–4 demonstrate that social motivation is associated with a larger importance granted to cooperation-related impressions, i.e. perceived trustworthiness, during social evaluations. Studies 5 and 6 further reveal that this weighting difference leads strongly socially motivated participants to approach more partners that are perceived as both dominant and trustworthy. Taken together, our results provide support for the idea that humans’ social motivation is associated with specific social preferences that could favour successful cooperative interactions and a widening of people’s cooperative circle.

Suggested Citation

  • Lou Safra & Nicolas Baumard & Valentin Wyart & Coralie Chevallier, 2020. "Social motivation is associated with increased weight granted to cooperation-related impressions in face evaluation tasks," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-17, April.
    • Handle: RePEc:plo:pone00:0230011
    DOI: 10.1371/journal.pone.0230011
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    1. McFadden, Daniel, 1980. "Econometric Models for Probabilistic Choice among Products," The Journal of Business, University of Chicago Press, vol. 53(3), pages 13-29, July.
    2. Jonathan E Bone & Brian Wallace & Redouan Bshary & Nichola J Raihani, 2015. "The Effect of Power Asymmetries on Cooperation and Punishment in a Prisoner’s Dilemma Game," PLOS ONE, Public Library of Science, vol. 10(1), pages 1-15, January.
    3. Matthias Wibral & Thomas Dohmen & Dietrich Klingmüller & Bernd Weber & Armin Falk, 2012. "Testosterone Administration Reduces Lying in Men," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-5, October.
    4. Douglas Medin & Bethany Ojalehto & Ananda Marin & Megan Bang, 2017. "Systems of (non-)diversity," Nature Human Behaviour, Nature, vol. 1(5), pages 1-5, May.
    5. Jack van Honk & Estrella R. Montoya & Peter A. Bos & Mark van Vugt & David Terburg, 2012. "New evidence on testosterone and cooperation," Nature, Nature, vol. 485(7399), pages 4-5, May.
    6. Astrid Hopfensitz & Wim de Neys & Jean-François Bonnefon, 2017. "Can We Detect Cooperators by Looking at Their Face?," Post-Print halshs-01698391, HAL.
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