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Trust in Humans and Robots: Economically Similar but Emotionally Different

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  • Timothy Shields

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

  • Eric Schniter

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

  • Daniel Sznycer

    (Department of Psychology, University of Montreal)

Abstract

Trust-based interactions with robots are increasingly common in the marketplace, workplace, on the road, and in the home. However, a looming concern is that people may not trust robots as they do humans. While trust in fellow humans has been studied extensively, little is known about how people extend trust to robots. Here we compare trust-based investments and emotions from across three nearly identical economic games: human-human trust games, human-robot trust games, and human-robot trust games where the robot decision impacts another human. Robots in our experiment mimic humans: they are programmed to make reciprocity decisions based on previously observed behaviors by humans in analogous situations. We find that people invest similarly in humans and robots. By contrast, the social emotions elicited by the interactions (but not non-social emotions) differed across human and robot trust games, and did so lawfully. Emotional reactions depended on how one’s trust game decision interacted with the partnered agent’s decision, and whether another person was affected economically and emotionally.

Suggested Citation

  • Timothy Shields & Eric Schniter & Daniel Sznycer, 2018. "Trust in Humans and Robots: Economically Similar but Emotionally Different," Working Papers 18-22, Chapman University, Economic Science Institute.
  • Handle: RePEc:chu:wpaper:18-22
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    File URL: https://digitalcommons.chapman.edu/esi_working_papers/282/
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    References listed on IDEAS

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    Cited by:

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    2. Nils Köbis & Jean-François Bonnefon & Iyad Rahwan, 2021. "Bad machines corrupt good morals," Nature Human Behaviour, Nature, vol. 5(6), pages 679-685, June.
    3. Corgnet, Brice & Hernán-González, Roberto & Mateo, Ricardo, 2023. "Peer effects in an automated world," Labour Economics, Elsevier, vol. 85(C).
    4. Bejarano, Hernán & Gillet, Joris & Rodriguez-Lara, Ismael, 2021. "Trust and trustworthiness after negative random shocks," Journal of Economic Psychology, Elsevier, vol. 86(C).
    5. Iván Barreda-Tarrazona & Ainhoa Jaramillo-Gutiérrez & Marina Pavan & Gerardo Sabater-Grande, 2021. "The “Human Factor” in Prisoner’s Dilemma Cooperation," Working Papers 2021/10, Economics Department, Universitat Jaume I, Castellón (Spain).
    6. Tse, Tiffany Tsz Kwan & Hanaki, Nobuyuki & Mao, Bolin, 2024. "Beware the performance of an algorithm before relying on it: Evidence from a stock price forecasting experiment," Journal of Economic Psychology, Elsevier, vol. 102(C).
    7. Chugunova, Marina & Sele, Daniela, 2022. "We and It: An interdisciplinary review of the experimental evidence on how humans interact with machines," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 99(C).
    8. Zarifis, Alex & Cheng, Xusen, 2022. "A model of trust in Fintech and trust in Insurtech: How Artificial Intelligence and the context influence it," Journal of Behavioral and Experimental Finance, Elsevier, vol. 36(C).
    9. Sofianos, Andis, 2022. "Self-reported & revealed trust: Experimental evidence," Journal of Economic Psychology, Elsevier, vol. 88(C).
    10. Roman Lukyanenko & Wolfgang Maass & Veda C. Storey, 2022. "Trust in artificial intelligence: From a Foundational Trust Framework to emerging research opportunities," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 1993-2020, December.

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    More about this item

    Keywords

    Trust; Robots; Artificial Intellgience; Emotion; Experiment;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • D64 - Microeconomics - - Welfare Economics - - - Altruism; Philanthropy; Intergenerational Transfers
    • L5 - Industrial Organization - - Regulation and Industrial Policy

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