Team Robot Identification Theory (TRIT): Robot Attractiveness and Team Identification on Performance and Viability in Human–Robot Teams
dc.contributor.author | You, Sangseok | |
dc.contributor.author | Robert, Lionel Jr | |
dc.date.accessioned | 2022-06-03T11:39:50Z | |
dc.date.available | 2022-06-03T11:39:50Z | |
dc.date.issued | 2022-06-03 | |
dc.identifier.citation | You, 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.issn | 0920-8542 | |
dc.identifier.issn | 1573-0484 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/172865 | en |
dc.description.abstract | Prior 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.iso | en_US | en_US |
dc.publisher | The Journal of Supercomputing | en_US |
dc.subject | Human–Robot | en_US |
dc.subject | Human–Robot Interaction | en_US |
dc.subject | Human Robot Interaction | en_US |
dc.subject | Human–Robot Teams | en_US |
dc.subject | Human–Robot Teaming | en_US |
dc.subject | Team Robot Identification Theory | en_US |
dc.subject | Robot Attractiveness | en_US |
dc.subject | Social Attractiveness | en_US |
dc.subject | Team Identification | en_US |
dc.subject | Teamwork | en_US |
dc.subject | Robots | en_US |
dc.subject | Robotics | en_US |
dc.subject | Team Identification | en_US |
dc.subject | Team viability | en_US |
dc.subject | social attraction | en_US |
dc.subject | human–robot collaboration | en_US |
dc.subject | team performance | en_US |
dc.subject | emerging collaborative technology | en_US |
dc.title | Team Robot Identification Theory (TRIT): Robot Attractiveness and Team Identification on Performance and Viability in Human–Robot Teams | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Information Science | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Information, School of | en_US |
dc.contributor.affiliationum | Robotics Institute | en_US |
dc.contributor.affiliationother | Sungkyunkwan University | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/172865/1/You and Robert (JSC) 2022.pdf | |
dc.identifier.doi | https://dx.doi.org/10.7302/4813 | |
dc.identifier.source | The Journal of Supercomputing | en_US |
dc.identifier.orcid | 0000-0002-1410-2601 | en_US |
dc.description.filedescription | Description of You and Robert (JSC) 2022.pdf : Preprint File | |
dc.description.depositor | SELF | en_US |
dc.identifier.name-orcid | Robert, Lionel P.; 0000-0002-1410-2601 | en_US |
dc.working.doi | 10.7302/4813 | en_US |
dc.owningcollname | Information, School of (SI) |
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