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Conflicted Emotions Following Trust-based Interaction

Author

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  • Eric Schniter

    (Economic Science Institute, Chapman University and Argyros School of Business and Economics, Chapman University)

  • Roman M. Sheremeta

    (Economic Science Institute, Chapman University and Department of Economics, Weatherhead School of Management, Case Western Reserve University)

  • Timothy W. Shields

    (Economic Science Institute, Chapman University and Argyros School of Business and Economics, Chapman University)

Abstract

We investigated whether 20 emotional states, reported by 170 participants after participating in a Trust game, were experienced in a patterned way predicted by the “Recalibrational Model” or Valence Models. According to the Recalibrational Model, new information about trust-based interaction outcomes triggers specific sets of emotions. Unlike Valence Models that predict reports of large sets of either positive or negative emotional states, the Recalibrational Model predicts the possibility of conflicted (concurrent positive and negative) emotional states. Consistent with the Recalibrational Model, we observed reports of conflicted emotional states activated after interactions where trust was demonstrated but trustworthiness was not. We discuss the implications of having conflicted goals and conflicted emotional states for both scientific and well-being pursuits.

Suggested Citation

  • Eric Schniter & Roman M. Sheremeta & Timothy W. Shields, 2013. "Conflicted Emotions Following Trust-based Interaction," Working Papers 13-28, Chapman University, Economic Science Institute.
  • Handle: RePEc:chu:wpaper:13-28
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    Cited by:

    1. Eric Schniter & Roman M. Sheremeta, 2014. "Predictable and Predictive Emotions: Explaining Cheap Signals and Trust Re-Extension," Working Papers 14-07, Chapman University, Economic Science Institute.
    2. Eric Schniter & Timothy Shields, 2013. "Recalibrational Emotions and the Regulation of Trust-Based Behaviors," Working Papers 13-16, Chapman University, Economic Science Institute.
    3. Joaquin Gómez-Miñambres & Eric Schniter, 2017. "Emotions and Behavior Regulation in Decision Dilemmas," Games, MDPI, vol. 8(2), pages 1-25, May.
    4. Michael Caldara & Michael T. McBride & Matthew W. McCarter & Roman M. Sheremeta, 2017. "A Study of the Triggers of Conflict and Emotional Reactions," Games, MDPI, vol. 8(2), pages 1-12, April.
    5. Jung, SeEun & Vranceanu, Radu, 2019. "Competitive compensation and subjective well-being: The effect of culture and gender," Journal of Economic Psychology, Elsevier, vol. 70(C), pages 90-108.
    6. Laura K. Gee & Xinxin Lyu & Heather Urry, 2017. "Anger Management: Aggression and Punishment in the Provision of Public Goods," Games, MDPI, vol. 8(1), pages 1-28, January.
    7. Schniter, E. & Shields, T.W. & Sznycer, D., 2020. "Trust in humans and robots: Economically similar but emotionally different," Journal of Economic Psychology, Elsevier, vol. 78(C).
    8. van den Akker, Olmo R. & van Assen, Marcel A.L.M. & van Vugt, Mark & Wicherts, Jelte M., 2020. "Sex differences in trust and trustworthiness: A meta-analysis of the trust game and the gift-exchange game," Journal of Economic Psychology, Elsevier, vol. 81(C).

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    More about this item

    Keywords

    emotion; affect valence; recalibrational theory; Trust game; experiment;
    All these keywords.

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D87 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Neuroeconomics

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