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Exploring Prosociality in Human-Robot Teams
Univ Lisbon, INESC ID, Inst Super Tecn, Lisbon, Portugal..
Univ Lisbon, INESC ID, Inst Super Tecn, Lisbon, Portugal..
Univ Lisbon, INESC ID, Inst Super Tecn, Lisbon, Portugal..
CIS IUL, Inst Univ Lisboa ISCTE IUL, Lisbon, Portugal..
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2019 (English)In: HRI '19: 2019 14TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, IEEE , 2019, p. 143-151Conference paper, Published paper (Refereed)
Abstract [en]

This paper explores the role of prosocial behaviour when people team up with robots in a collaborative game that presents a social dilemma similar to a public goods game. An experiment was conducted with the proposed game in which each participant joined a team with a prosocial robot and a selfish robot. During 5 rounds of the game, each player chooses between contributing to the team goal (cooperate) or contributing to his individual goal (defect). The prosociality level of the robots only affects their strategies to play the game, as one always cooperates and the other always defects. We conducted a user study at the office of a large corporation with 70 participants where we manipulated the game result (winning or losing) in a between-subjects design. Results revealed two important considerations: (1) the prosocial robot was rated more positively in terms of its social attributes than the selfish robot, regardless of the game result; (2) the perception of competence, the responsibility attribution (blame/credit), and the preference for a future partner revealed significant differences only in the losing condition. These results yield important concerns for the creation of robotic partners, the understanding of group dynamics and, from a more general perspective, the promotion of a prosocial society.

Place, publisher, year, edition, pages
IEEE , 2019. p. 143-151
Series
ACM IEEE International Conference on Human-Robot Interaction, ISSN 2167-2121
Keywords [en]
Groups, Social Dilemma, Public Goods Game, Prosocial, Selfish
National Category
Robotics
Identifiers
URN: urn:nbn:se:kth:diva-252423DOI: 10.1109/HRI.2019.8673299ISI: 000467295400020Scopus ID: 2-s2.0-85063984815ISBN: 978-1-5386-8555-6 (print)OAI: oai:DiVA.org:kth-252423DiVA, id: diva2:1337567
Conference
14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), MAR 11-14, 2019, Daegu, SOUTH KOREA
Note

QC 20190716

Available from: 2019-07-16 Created: 2019-07-16 Last updated: 2019-07-16Bibliographically approved

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Leite, Iolanda

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