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Team Robot Identification Theory (TRIT): Robot Attractiveness and Team Identification on Performance and Viability in Human–Robot Teams

dc.contributor.authorYou, Sangseok
dc.contributor.authorRobert, Lionel Jr
dc.date.accessioned2022-06-03T11:39:50Z
dc.date.available2022-06-03T11:39:50Z
dc.date.issued2022-06-03
dc.identifier.citationYou, S. and Robert, L. P. (2022). Team Robot Identification Theory (TRIT): Robot Attractiveness and Team Identification on Performance and Viability in Human-Robot Teams, The Journal of Supercomputing, forthcoming.en_US
dc.identifier.issn0920-8542
dc.identifier.issn1573-0484
dc.identifier.urihttps://hdl.handle.net/2027.42/172865en
dc.description.abstractPrior literature suggests that shared identity and social attraction between team members and their robots can be vital for the human–robot interaction. However, more attention is needed to understand the potential performance benefits associated with team identification (TI) and robot attractiveness in human–robot teams. We proposed a theoretical framework of team robot identification theory. We conducted a laboratory experiment to examine the impacts of TI and social attraction toward robots on team performance and viability in 30 human–robot teams comprising two humans and two physical robots. Results showed that TI in human–robot teams led to better performance and team viability. Both effects were mediated by the social attraction between team members and their robots. These results evidenced the direct links between TI and objective and subjective team outcomes, explained through social attraction toward robots. We discuss the results and their theoretical and practical implications.en_US
dc.language.isoen_USen_US
dc.publisherThe Journal of Supercomputingen_US
dc.subjectHuman–Roboten_US
dc.subjectHuman–Robot Interactionen_US
dc.subjectHuman Robot Interactionen_US
dc.subjectHuman–Robot Teamsen_US
dc.subjectHuman–Robot Teamingen_US
dc.subjectTeam Robot Identification Theoryen_US
dc.subjectRobot Attractivenessen_US
dc.subjectSocial Attractivenessen_US
dc.subjectTeam Identificationen_US
dc.subjectTeamworken_US
dc.subjectRobotsen_US
dc.subjectRoboticsen_US
dc.subjectTeam Identificationen_US
dc.subjectTeam viabilityen_US
dc.subjectsocial attractionen_US
dc.subjecthuman–robot collaborationen_US
dc.subjectteam performanceen_US
dc.subjectemerging collaborative technologyen_US
dc.titleTeam Robot Identification Theory (TRIT): Robot Attractiveness and Team Identification on Performance and Viability in Human–Robot Teamsen_US
dc.typeArticleen_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.affiliationotherSungkyunkwan Universityen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/172865/1/You and Robert (JSC) 2022.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/4813
dc.identifier.sourceThe Journal of Supercomputingen_US
dc.identifier.orcid0000-0002-1410-2601en_US
dc.description.filedescriptionDescription of You and Robert (JSC) 2022.pdf : Preprint File
dc.description.depositorSELFen_US
dc.identifier.name-orcidRobert, Lionel P.; 0000-0002-1410-2601en_US
dc.working.doi10.7302/4813en_US
dc.owningcollnameInformation, School of (SI)


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