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dc.contributor.authorRobinson, Kwame
dc.contributor.authorRobert, Lionel + "Jr"
dc.contributor.authorEglash, Ron
dc.date.accessioned2021-07-19T19:52:26Z
dc.date.available2021-07-19T19:52:26Z
dc.date.issued2021-07-19
dc.identifier.citationExtrapolating Significance of Text-based Autonomous Vehicle Scenarios to Multimedia Scenarios and Implications for User-centered Design, Proceedings of 30th IEEE International Conference on Robot and Human Interactive Communication, Aug 08 - Aug 12, 2021. Virtual Conference (originally in Vancouver, BC, Canada).en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/168412en
dc.identifier.urihttps://doi.org/10.1109/RO-MAN50785.2021.9515372
dc.description.abstractExtrapolation from low-fidelity design iterations is especially critical in HRI. An initial proposal for low-fidelity to higher fidelity extrapolation is developed using insights from cognitive multimedia learning theory to account for the effects of prototype medium and three types of cognitive demands. Inspired by Donald Norman and others, our proposal leverages tightly controlled and multi-authored scenarios through crowdsourcing to create additional potential evidence as a kind of experimental “stress test.” We motivate our proposal by investigating the intersection of emotion and human control, which is understudied outside of autonomous vehicles (AV) and HRI research. Evidence for positively moderated emotional effects in text-based AV scenarios as well as tentative evidence for our extrapolation proposal are identified.en_US
dc.language.isoen_USen_US
dc.publisherIEEE RO-MAN 2021en_US
dc.subjectlow-fidelity designen_US
dc.subjectHuman-Robot Interactionen_US
dc.subjecthigh-fidelity designen_US
dc.subjecthigh-fidelity prototypeen_US
dc.subjectlow-fidelity prototypeen_US
dc.subjectprototypingen_US
dc.subjectcognitive multimedia learning theoryen_US
dc.subjectmulti-authored scenariosen_US
dc.subjectemotion and human controlen_US
dc.subjectautomated vehiclesen_US
dc.subjectemotional designen_US
dc.subjectautonomous vehiclesen_US
dc.subjectHuman machine designen_US
dc.titleExtrapolating significance of text-based autonomous vehicle scenarios to multimedia scenarios and implications for user-centered designen_US
dc.typeConference Paperen_US
dc.subject.hlbsecondlevelInformation Science
dc.subject.hlbtoplevelSocial Science
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumInformation, School ofen_US
dc.contributor.affiliationumRobotics Instituteen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/168412/1/Robinson et al. 2021.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/1691
dc.identifier.doi10.1109/RO-MAN50785.2021.9515372
dc.identifier.sourceIEEE RO-MAN 2021en_US
dc.identifier.orcid0000-0002-1410-2601en_US
dc.description.filedescriptionDescription of Robinson et al. 2021.pdf : Preprint
dc.description.depositorSELFen_US
dc.identifier.name-orcidRobert, Lionel P.; 0000-0002-1410-2601en_US
dc.working.doi10.7302/1691en_US
dc.owningcollnameInformation, School of (SI)


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