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Rethinking Trust Repair in Human-Robot Interaction

dc.contributor.authorEsterwood, Connor
dc.date.accessioned2023-07-14T13:42:52Z
dc.date.available2023-07-14T13:42:52Z
dc.date.issued2023-07-14
dc.identifier.citation@misc{RN866, author = {Esterwood, C.}, title = {Rethinking Trust Repair in Human-Robot Interaction}, publisher = {ACM}, month = {10/14/2023}, DOI = {10.1145/3584931.3608919}, year = {2023}, type = {Conference Paper} }en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/177176en
dc.descriptionPublication in the doctoral consortium and archived on ACM's DL as a full publication. Preprint is attached here.en_US
dc.description.abstractAs robots become increasingly prevalent in work-oriented collaborations, trust has emerged as a critical factor in their acceptance and effectiveness. However, trust is dynamic and can erode when mistakes are made. Despite emerging research on trust repair in human-robot interaction, significant questions remain about identifying reliable approaches to restoring trust in robots after trust violations occur. To address this problem, my research aims to identify effective strategies for designing robots capable of trust repair in human-robot interaction (HRI) and to explore the underlying mechanisms that make these strategies successful. This paper provides an overview of the fundamental concepts and key components of the trust repair process in HRI, as well as a summary of my current published work in this area. Additionally, I discuss the research questions that will guide my future work and the potential contributions that this research could make to the field.en_US
dc.language.isoen_USen_US
dc.publisherACMen_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectHuman-robot Interaction, Trust, Trust Repairen_US
dc.titleRethinking Trust Repair in Human-Robot Interactionen_US
dc.typePreprinten_US
dc.subject.hlbsecondlevelInformation Science
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumPhD Candidateen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/177176/1/Style_and_Template_for_Preprints__arXiv__bio_arXiv_.pdf
dc.identifier.doi10.1145/3584931.3608919
dc.identifier.doihttps://dx.doi.org/10.7302/7909
dc.identifier.sourceCSCW ’23 Companion, October 14–18, 2023, Minneapolis, MN, USAen_US
dc.identifier.orcid0000-0002-2685-6435en_US
dc.description.filedescriptionDescription of Style_and_Template_for_Preprints__arXiv__bio_arXiv_.pdf : Pre-Print
dc.description.depositorSELFen_US
dc.identifier.name-orcidEsterwood, Connor; 0000-0002-2685-6435en_US
dc.working.doi10.7302/7909en_US
dc.owningcollnameInformation, School of (SI)


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