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

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dc.contributor.author Petersen, Luke
dc.contributor.author Robert, Lionel + "Jr"
dc.contributor.author Yang, X. Jessie
dc.contributor.author Tilbury, Dawn
dc.date.accessioned 2019-03-02T01:51:37Z
dc.date.available 2019-03-02T01:51:37Z
dc.date.issued 2019-03-01
dc.identifier.citation Petersen, 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.uri http://hdl.handle.net/2027.42/148141
dc.identifier.uri https://saemobilus.sae.org/content/12-02-02-0009/
dc.description.abstract Driver 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.sponsorship This 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.iso en_US en_US
dc.publisher SAE International Journal of Connected and Autonomous Vehicles en_US
dc.subject Human‒automation interaction en_US
dc.subject Semi-autonomous systems en_US
dc.subject Trust in automation en_US
dc.subject Trust in AVs en_US
dc.subject Automated Vehicle Trust en_US
dc.subject Automated Vehicle en_US
dc.subject Situational awareness en_US
dc.subject autonomous vehicles en_US
dc.subject Human Vehicle Interaction en_US
dc.subject Human Computer Interaction en_US
dc.subject Driver assistance systems en_US
dc.subject Advanced driver assistance systems en_US
dc.subject automated driving systems en_US
dc.subject trust automated driving systems en_US
dc.subject vehicles en_US
dc.subject trusting behavior en_US
dc.subject eye-tracking en_US
dc.subject heart rate data en_US
dc.title Situational Awareness, Driver’s Trust in Automated Driving Systems and Secondary Task Performance en_US
dc.type Article en_US
dc.subject.hlbsecondlevel Information and Library Science
dc.subject.hlbtoplevel Social Sciences
dc.description.peerreviewed Peer Reviewed en_US
dc.contributor.affiliationum Information, School of en_US
dc.contributor.affiliationum College of Engineering en_US
dc.contributor.affiliationumcampus Ann Arbor en_US
dc.description.bitstreamurl https://deepblue.lib.umich.edu/bitstream/2027.42/148141/1/SA Trust - SAE- Public.pdf
dc.description.bitstreamurl https://deepblue.lib.umich.edu/bitstream/2027.42/148141/4/Petersen et al. 2019.pdf
dc.identifier.doi 10.4271/12-02-02-0009
dc.identifier.source SAE International Journal of Connected and Autonomous Vehicles en_US
dc.identifier.orcid 0000-0002-1410-2601 en_US
dc.description.filedescription Description of Petersen et al. 2019.pdf : Final Publication Version
dc.identifier.name-orcid Robert, Lionel P.; 0000-0002-1410-2601 en_US
dc.owningcollname Information, School of (SI)
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