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Handling Trust Between Drivers and Automated Vehicles for Improved Collaboration
dc.contributor.authorAzevedo-Sa, Hebert
dc.contributor.authorYang, X. Jessie
dc.contributor.authorRobert, Lionel + "Jr"
dc.contributor.authorTilbury, Dawn
dc.date.accessioned2021-01-10T14:57:46Z
dc.date.available2021-01-10T14:57:46Z
dc.date.issued2021-01-10
dc.identifier.citationHebert Azevedo-Sa, X. Jessie Yang, Lionel P. Robert Jr., and Dawn M. Tilbury. 2021. Handling Trust Between Drivers and Automated Vehicles for Improved Collaboration. In Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’21 Companion), March 8–11, 2021, Boulder, CO, USA. ACM, New York, NY, USA, 3 pages. https://doi.org/10.1145/3434074. 3446358en_US
dc.identifier.urihttps://doi.org/10.1145/3434074.3446358
dc.identifier.urihttps://hdl.handle.net/2027.42/164968
dc.description.abstractAdvances in perception and artificial intelligence technology are expected to lead to seamless interaction between humans and robots. Trust in robots has been evolving from the theory on trust in automation, with a fundamental difference: unlike traditional automation, robots could adjust their behaviors depending on how their human counterparts appear to be trusting them or how humans appear to be trustworthy. In this extended abstract I present my research on methods for processing trust in the particular context of interactions between a driver and an automated vehicle, which has the goal of achieving higher safety and performance standards for the team formed by those human and robotic agents.en_US
dc.language.isoen_USen_US
dc.publisherHRI 2021en_US
dc.subjectTrust in Automationen_US
dc.subjectHuman-robot teamingen_US
dc.subjectDriving simulationen_US
dc.subjectHuman automated driving interactionen_US
dc.subjectHuman Robot Interactionen_US
dc.subjectAutomated Drivingen_US
dc.subjectAutomated Vehiclesen_US
dc.subjectautonomous carsen_US
dc.subjectautonomous vehiclesen_US
dc.subjectsemi-autonomous vehicleen_US
dc.subjectself driving carsen_US
dc.subjectadvance driving systemsen_US
dc.subjectautomated driving systemsen_US
dc.subjectautomation trusten_US
dc.subjectrobot trusten_US
dc.subjecthuman factors engineeringen_US
dc.subjectnon-driving related tasken_US
dc.subjectSAE level 3en_US
dc.subjectSAE level 4en_US
dc.subjectSAE level 5en_US
dc.subjecthuman machine interactionen_US
dc.subjectRobotic agenten_US
dc.titleHandling Trust Between Drivers and Automated Vehicles for Improved Collaborationen_US
dc.typeConference Paperen_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.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/164968/1/Azevedo-Sa et al. 2021.pdf
dc.identifier.doi10.1145/3434074.3446358
dc.identifier.sourceCompanion of the 2021 ACM/IEEE International Conference on Human-Robot Interactionen_US
dc.identifier.orcid0000-0002-1410-2601en_US
dc.description.depositorSELFen_US
dc.identifier.name-orcidRobert, Lionel P.; 0000-0002-1410-2601en_US
dc.owningcollnameInformation, School of (SI)


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