Investigating cooperation with robotic peers.

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 coope...

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Main Authors: Debora Zanatto, Massimiliano Patacchiola, Jeremy Goslin, Angelo Cangelosi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0225028
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author Debora Zanatto
Massimiliano Patacchiola
Jeremy Goslin
Angelo Cangelosi
author_facet Debora Zanatto
Massimiliano Patacchiola
Jeremy Goslin
Angelo Cangelosi
author_sort Debora Zanatto
collection DOAJ
description 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.
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spelling doaj.art-ed5e354dc94c4756b89040e1709a1aa52022-12-21T19:07:40ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-011411e022502810.1371/journal.pone.0225028Investigating cooperation with robotic peers.Debora ZanattoMassimiliano PatacchiolaJeremy GoslinAngelo CangelosiWe 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.https://doi.org/10.1371/journal.pone.0225028
spellingShingle Debora Zanatto
Massimiliano Patacchiola
Jeremy Goslin
Angelo Cangelosi
Investigating cooperation with robotic peers.
PLoS ONE
title Investigating cooperation with robotic peers.
title_full Investigating cooperation with robotic peers.
title_fullStr Investigating cooperation with robotic peers.
title_full_unstemmed Investigating cooperation with robotic peers.
title_short Investigating cooperation with robotic peers.
title_sort investigating cooperation with robotic peers
url https://doi.org/10.1371/journal.pone.0225028
work_keys_str_mv AT deborazanatto investigatingcooperationwithroboticpeers
AT massimilianopatacchiola investigatingcooperationwithroboticpeers
AT jeremygoslin investigatingcooperationwithroboticpeers
AT angelocangelosi investigatingcooperationwithroboticpeers