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Having The Right Attitude: How Attitude Impacts Trust Repair in Human-Robot Interaction,

dc.contributor.authorEsterwood, Connor
dc.contributor.authorRobert, Lionel + "Jr"
dc.identifier.citationEsterwood, C. and Robert, L. P. (2022) Having The Right Attitude: How Attitude Impacts Trust Repair in Human-Robot Interaction, Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2022). March 7-10, 2022, onlineen_US
dc.description.abstractRobot co-workers, like human co-workers, make mistakes that undermine trust. Yet, trust is just as important in promoting human–robot collaboration as it is in promoting human–human collaboration. In addition, individuals can significantly differ in their attitudes toward robots, which can also impact or hinder their trust in robots. To better understand how individual attitude can influence trust repair strategies, we propose a theoretical model that draws from the theory of cognitive dissonance. To empirically verify this model, we conducted a between-subjects experiment with 100 participants assigned to one of four repair strategies (apologies, denials, explanations, or promises) over three trust violations. Individual attitudes did moderate the efficacy of repair strategies and this effect differed over successive trust violations. Specifically, repair strategies were most effective relative to individual attitude during the second of the three trust violations, and promises were the trust repair strategy most impacted by an individual’s attitude.en_US
dc.publisherIn Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction, pp. 332-341en_US
dc.subjectHuman-Robot Interactionen_US
dc.subjectTrust Repairen_US
dc.subjectHuman-Robot Trusten_US
dc.subjectRobot Trusten_US
dc.subjectHuman Robot Interactionen_US
dc.subjectHuman Robot Collaborationen_US
dc.subjectTeaming with Robotsen_US
dc.subjectFuture of Worken_US
dc.subjectHuman-Computer Interactionen_US
dc.subjectcognitive dissonance.en_US
dc.subjecttrust repair strategiesen_US
dc.subjecttrust violationen_US
dc.subjecttrust repair strategyen_US
dc.subjectRobotic workersen_US
dc.subjectAttitude Towards Work Robotsen_US
dc.subjectindividual differencesen_US
dc.subjectsocial computingen_US
dc.subjectAI trusten_US
dc.subjectartificial intelligenceen_US
dc.subjectartificial intelligence trusten_US
dc.titleHaving The Right Attitude: How Attitude Impacts Trust Repair in Human-Robot Interaction,en_US
dc.typeConference Paperen_US
dc.subject.hlbsecondlevelInformation Science
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumInformation, School ofen_US
dc.contributor.affiliationumRobotics Instituteen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurl and Roboert 2022 HRI.pdf
dc.identifier.sourceProceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interactionen_US
dc.description.filedescriptionDescription of Esterwood and Roboert 2022 HRI.pdf : Preprint
dc.description.depositorSELFen_US, Connor; 0000-0002-2685-6435en_US, Lionel P.; 0000-0002-1410-2601en_US
dc.owningcollnameInformation, School of (SI)

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