Situational Awareness, Driver’s Trust in Automated Driving Systems and Secondary Task Performance
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 | https://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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