Trust in Autonomous Vehicles: The case of Tesla Autopilot and Summon

dc.contributor.authorDikmen, Murat Burns, Catherine
dc.date.accessioned2026-05-25T18:09:53Z
dc.date.available2026-05-25T18:09:53Z
dc.date.issued2017-10-05
dc.description.abstractAutonomous driving is on the horizon. Vehicles with partially automated driving capabilities are already in the market. Before the widespread adoption however, human factors issues in the automated driving context need to be addressed. One of the key components of this is how much drivers trust in automated driving systems and how they calibrate their trust and reliance based on their experience. In this paper, we report the results of a survey conducted with Tesla drivers about their experiences with two advanced driver assistance systems, Autopilot and Summon. We found that drivers have high levels of trust in Autopilot and Summon. Trust decreased with age for Autopilot but not for Summon. Drivers who experienced unexpected behaviors from their vehicles reported lower levels of trust in Autopilot. Over time, trust in these systems increased regardless of experience. Additionally, trust was correlated with several attitudinal and behavioral factors such as frequency of use, self-rated knowledge about these systems, and ease of learning. These findings highlight the importance of trust in real world use of autonomous cars. Also, the results suggest that previousen
dc.description.sponsorshipNSERC Discovery Grant
dc.identifier.uriDOI: 10.1109/SMC.2017.8122757
dc.identifier.urihttps://hdl.handle.net/10012/23403
dc.titleTrust in Autonomous Vehicles: The case of Tesla Autopilot and Summon
dcterms.bibliographicCitationM. Dikmen and C. Burns, "Trust in autonomous vehicles: The case of Tesla Autopilot and Summon," 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Banff, AB, Canada, 2017, pp. 1093-1098, doi: 10.1109/SMC.2017.8122757. keywords: {Automation;Vehicles;Advanced driver assistance systems;Analysis of variance;Autonomous automobiles;Correlation;System analysis and design;trust in automation;automated driving;advanced driver assistance systems},
uws.contributor.affiliation1Faculty of Engineering
uws.contributor.affiliation2Systems Design Engineering
uws.peerReviewStatusReviewed
uws.scholarLevelGraduate
uws.typeOfResourceTexten

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