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Investigating cooperation with robotic peers

Author

Listed:
  • Debora Zanatto
  • Massimiliano Patacchiola
  • Jeremy Goslin
  • Angelo Cangelosi

Abstract

We explored how people establish cooperation with robotic peers, by giving participants the chance to choose whether to cooperate or not with a more/less selfish robot, as well as a more or less interactive, in a more or less critical environment. We measured the participants' tendency to cooperate with the robot as well as their perception of anthropomorphism, trust and credibility through questionnaires. We found that cooperation in Human-Robot Interaction (HRI) follows the same rule of Human-Human Interaction (HHI), participants rewarded cooperation with cooperation, and punished selfishness with selfishness. We also discovered two specific robotic profiles capable of increasing cooperation, related to the payoff. A mute and non-interactive robot is preferred with a high payoff, while participants preferred a more human-behaving robot in conditions of low payoff. Taken together, these results suggest that proper cooperation in HRI is possible but is related to the complexity of the task.

Suggested Citation

  • Debora Zanatto & Massimiliano Patacchiola & Jeremy Goslin & Angelo Cangelosi, 2019. "Investigating cooperation with robotic peers," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-17, November.
    • Handle: RePEc:plo:pone00:0225028
    DOI: 10.1371/journal.pone.0225028
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    References listed on IDEAS

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    1. Ernst Fehr & Simon Gächter, 2002. "Altruistic punishment in humans," Nature, Nature, vol. 415(6868), pages 137-140, January.
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    Cited by:

    1. Xuan, Hongzhou & He, Guibing, 2025. "Negative feedback from robots is received better than that from humans: The effect of feedback on human–robot trust and collaboration," Journal of Business Research, Elsevier, vol. 193(C).

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