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From Adam Smith to artificial intelligence: an experimental exploration of emotion in humanomics

Author

Listed:
  • Xiangdong Qin

    (Shanghai Jiao Tong University)

  • Siyu Wang

    (Wichita State University)

  • Mike Zhiren Wu

    (Monash University)

  • Xuechun Feng

    (Shanghai Jiao Tong University)

Abstract

This study examines whether individuals can effectively express their emotions or “fellow feelings” to a machine, an impartial observer, or individuals who have caused them harm, and the effects of these emotional expressions on behavior. Our findings indicate that the impartial observer is the most preferred outlet for emotional expression, with neither the machine nor the offending party being able to adequately fulfill this role. Negative emotions are more commonly expressed to an impartial observer and a machine, whereas positive emotions are more often directed toward the offending party. Additionally, our findings indicate that emotional expression cannot replace costly punishment and that communication channels do not affect the behavior of the offending party. By exploring the nuanced ways emotions are conveyed, our study offers valuable insights into the evolving discourse on the impact of emotions on human-AI interactions.

Suggested Citation

  • Xiangdong Qin & Siyu Wang & Mike Zhiren Wu & Xuechun Feng, 2025. "From Adam Smith to artificial intelligence: an experimental exploration of emotion in humanomics," Public Choice, Springer, vol. 202(3), pages 383-399, March.
  • Handle: RePEc:kap:pubcho:v:202:y:2025:i:3:d:10.1007_s11127-024-01227-4
    DOI: 10.1007/s11127-024-01227-4
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    Cited by:

    1. William F. Shughart II & Ravi K. Roy & Ryan Yonk, 2025. "Humanomics: introduction to a special issue," Public Choice, Springer, vol. 202(3), pages 333-339, March.

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    More about this item

    Keywords

    Humanomics; Impartial spectator; Emotion; Communication;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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