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Human Autonomous Vehicles Interactions: An Interdisciplinary Approach
dc.contributor.authorYang, X. Jessie
dc.contributor.authorPradhan, Anuj
dc.contributor.authorTilbury, Dawn
dc.contributor.authorRobert, Lionel +"Jr"
dc.date.accessioned2018-03-09T21:07:30Z
dc.date.available2018-03-09T21:07:30Z
dc.date.issued2018-04-20
dc.identifier.citationYang, X. J., Tilbury, D., Pradhan, A., Robert, L. P. (2018). Interacting with Autonomous Vehicles: An Interdisciplinary Approach presented at the Workshop on the Interacting with Autonomous Vehicles: Learning from other Domains at 36rd ACM Conference on Human Factors in Computing Systems (CHI 2018), April 21-26, 2015, Montreal, Canada,en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/142722
dc.description.abstractThis paper describes an interdisciplinary approach we adopted at the University of Michigan to investigate how humans interact with autonomous vehicles. We present four projects that the Michigan Autonomous Vehicle Research Intergroup Collaboration (MAVRIC) is working on, leveraging expertise from human–computer interaction, industrial engineering, mechanical engineering, information systems, and information and computer science.en_US
dc.language.isoen_USen_US
dc.subjectHuman Autonomous Vehicles Interactionsen_US
dc.subjectAutonomous Vehicles Interactionsen_US
dc.subjectAutonomous Vehiclesen_US
dc.subjectVehiclesen_US
dc.subjectSelf-driving carsen_US
dc.subjectcarsen_US
dc.subjectautomated carsen_US
dc.subjectMichigan Autonomous Vehicle Research Intergroup Collaborationen_US
dc.subjectsituation awarenessen_US
dc.subjecttakeover transitionsen_US
dc.subjectTrusten_US
dc.subjectInterdisciplinaryen_US
dc.subjecthuman-in-the-loopen_US
dc.subjectAV and Pedestrian Interactionen_US
dc.subjectDriving Simulatoren_US
dc.subjecteye-trackingen_US
dc.subjecthuman–computer interactionen_US
dc.subjectDrivers’ Readiness to Take Overen_US
dc.subjectcomputational modelingen_US
dc.subjectcommunication theoryen_US
dc.titleHuman Autonomous Vehicles Interactions: An Interdisciplinary Approachen_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.affiliationumCollege of Engineeringen_US
dc.contributor.affiliationumTransportation Research Instituteen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/142722/1/Yang et al. 2018 (CHI Workshop).pdf
dc.identifier.sourceWorkshop on the Interacting with Autonomous Vehicles: Learning from other Domains at 36rd ACM Conference on Human Factors in Computing Systems CHI 2018en_US
dc.identifier.orcid0000-0002-1410-2601en_US
dc.description.filedescriptionDescription of Yang et al. 2018 (CHI Workshop).pdf : Main Article
dc.identifier.name-orcidRobert, Lionel P.; 0000-0002-1410-2601en_US
dc.owningcollnameInformation, School of (SI)


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