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Subgroup Formation in Teams Working with Robots

dc.contributor.authorRobert, Lionel
dc.contributor.authorYou, Sangseok
dc.date.accessioned2015-06-20T23:19:02Z
dc.date.available2015-06-20T23:19:02Z
dc.date.issued2015-04-18
dc.identifier.citationRobert Jr, L. P., & You, S. (2015, April). Subgroup Formation in Teams Working with Robots. In Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (pp. 2097-2102). ACM.en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/111882
dc.description.abstractTeams are increasingly adopting robots to accomplish their work. Despite this, more research is needed to understand what makes these teams effective. One such topic not fully explored is the formation of subgroups in teams that work with robots. We conducted a pilot study to explore this topic. The study examined 15 teams of 2 people, each team member working with a robot to accomplish a team task. Results of the pilot study showed that subgroups formed between humans and their robots were negatively correlated with various team outcomes. Although our results are preliminary, we believe our findings can initiate future research on the topic of subgroup formation in teams working with robots.en_US
dc.language.isoen_USen_US
dc.publisherACMen_US
dc.subjectHuman robot interactionen_US
dc.subjectroboten_US
dc.subjectsubgroupen_US
dc.subjectteamwork with robotsen_US
dc.subjectTeam robot interactionen_US
dc.subjecthuman robot collaborationen_US
dc.subjecttechnology mediated teamworken_US
dc.titleSubgroup Formation in Teams Working with Robotsen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelInformation and Library Science
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumInformation, School ofen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/111882/1/Robert and You 2015 WIP.pdf
dc.identifier.doi10.1145/2702613.2732791
dc.identifier.sourceProceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systemsen_US
dc.owningcollnameInformation, School of (SI)


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