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Predictable and Predictive Emotions: Explaining Cheap Signals and Trust Re-Extension

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  • Schniter, Eric
  • Sheremeta, Roman

Abstract

Despite normative predictions from economics and biology, unrelated strangers will often develop the trust necessary to reap gains from one-shot economic exchange opportunities. This appears to be especially true when declared intentions and emotions can be cheaply communicated. Perhaps even more puzzling to economists and biologists is the observation that anonymous and unrelated individuals, known to have breached trust, often make effective use of cheap signals, such as promises and apologies, to encourage trust re-extension. We used a pair of trust games with one-way communication and an emotion survey to investigate the role of emotions in regulating the propensity to message, apologize, re-extend trust, and demonstrate trustworthiness. This design allowed us to observe the endogenous emergence and natural distribution of trust-relevant behaviors, remedial strategies used by promise-breakers, their effects on behavior, and subsequent outcomes. We found that emotions triggered by interaction outcomes are predictable and also predict subsequent apology and trust re-extension. The role of emotions in behavioral regulation helps explain why messages are produced, when they can be trusted, and when trust will be re-extended.

Suggested Citation

  • Schniter, Eric & Sheremeta, Roman, 2014. "Predictable and Predictive Emotions: Explaining Cheap Signals and Trust Re-Extension," MPRA Paper 59665, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:59665
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    Cited by:

    1. Schniter, Eric & Sheremeta, Roman M. & Shields, Timothy W., 2015. "Conflicted emotions following trust-based interaction," Journal of Economic Psychology, Elsevier, vol. 51(C), pages 48-65.
    2. Yiting Guo & Jason Shachat & Matthew J. Walker & Lijia Wei, 2021. "Viral social media videos can raise pro-social behaviours when an epidemic arises," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(2), pages 120-138, December.
    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. Edgar E. Kausel, 2017. "Assessing Others’ Risk‐Taking Behavior from Their Affective States: Experimental Evidence Using a Stag Hunt Game," Games, MDPI, vol. 8(1), pages 1-11, February.
    6. Lawrence Ian Reed & Peter DeScioli, 2017. "The Emotional Moves of a Rational Actor: Smiles, Scowls, and Other Credible Messages," Games, MDPI, vol. 8(2), pages 1-11, March.
    7. 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.
    8. 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).

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    More about this item

    Keywords

    emotion; cheap signal; promise; apology; trust game; reciprocity; experiment;
    All these keywords.

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior

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