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Situational Awareness, Driver’s Trust in Automated Driving Systems and Secondary Task Performance

dc.contributor.authorPetersen, Luke
dc.contributor.authorRobert, Lionel + "Jr"
dc.contributor.authorYang, X. Jessie
dc.contributor.authorTilbury, Dawn
dc.date.accessioned2019-03-02T01:51:37Z
dc.date.available2019-03-02T01:51:37Z
dc.date.issued2019-03-01
dc.identifier.citationPetersen, L., Robert, L.P., Yang, X. J. Tilbury, D. (2019) Situational Awareness, Driver’s Trust in Automated Driving Systems and Secondary Task Performance, SAE International Journal of Connected and Automated Vehicles, forthcoming.en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/148141
dc.identifier.urihttps://saemobilus.sae.org/content/12-02-02-0009/
dc.description.abstractDriver assistance systems, also called automated driving systems, allow drivers to immerse themselves in non-driving-related tasks. Unfortunately, drivers may not trust the automated driving system, which prevents either handing over the driving task or fully focusing on the secondary task. We assert that enhancing situational awareness can increase a driver's trust in automation. Situational awareness should increase a driver's trust and lead to better secondary task performance. This study manipulated driversʼ situational awareness by providing them with different types of information: the control condition provided no information to the driver, the low condition provided a status update, while the high condition provided a status update and a suggested course of action. Data collected included measures of trust, trusting behavior, and task performance through surveys, eye-tracking, and heart rate data. Results show that situational awareness both promoted and moderated the impact of trust in the automated vehicle, leading to better secondary task performance. This result was evident in measures of self-reported trust and trusting behavior.en_US
dc.description.sponsorshipThis research was supported in part by the Automotive Research Center (ARC) at the University of Michigan, with funding from government contract Department of the Army W56HZV-14-2-0001 through the U. S. Army Tank Automotive Research, Development, and Engineering Center (TARDEC). The authors acknowledge and greatly appreciate the guidance of Victor Paul (TARDEC), Ben Haynes (TARDEC), and Jason Metcalfe (ARL) in helping design the study. The authors would also like to thank Quantum Signal, LLC, for providing its ANVEL software and invaluable development support.en_US
dc.language.isoen_USen_US
dc.publisherSAE International Journal of Connected and Autonomous Vehiclesen_US
dc.subjectHuman‒automation interactionen_US
dc.subjectSemi-autonomous systemsen_US
dc.subjectTrust in automationen_US
dc.subjectTrust in AVsen_US
dc.subjectAutomated Vehicle Trusten_US
dc.subjectAutomated Vehicleen_US
dc.subjectSituational awarenessen_US
dc.subjectautonomous vehiclesen_US
dc.subjectHuman Vehicle Interactionen_US
dc.subjectHuman Computer Interactionen_US
dc.subjectDriver assistance systemsen_US
dc.subjectAdvanced driver assistance systemsen_US
dc.subjectautomated driving systemsen_US
dc.subjecttrust automated driving systemsen_US
dc.subjectvehiclesen_US
dc.subjecttrusting behavioren_US
dc.subjecteye-trackingen_US
dc.subjectheart rate dataen_US
dc.titleSituational Awareness, Driver’s Trust in Automated Driving Systems and Secondary Task Performanceen_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.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/148141/1/SA Trust - SAE- Public.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/148141/4/Petersen et al. 2019.pdf
dc.identifier.doi10.4271/12-02-02-0009
dc.identifier.sourceSAE International Journal of Connected and Autonomous Vehiclesen_US
dc.identifier.orcid0000-0002-1410-2601en_US
dc.description.filedescriptionDescription of Petersen et al. 2019.pdf : Final Publication Version
dc.identifier.name-orcidRobert, Lionel P.; 0000-0002-1410-2601en_US
dc.owningcollnameInformation, School of (SI)


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