Understanding trust and acceptance of automated vehicles: An exploratory simulator study of transfer of control between automated and manual driving

Molnar, Lisa J.; Ryan, Lindsay H.; Pradhan, Anuj K.; Eby, David W.; Louis, Renée M. St.; Zakrajsek, Jennifer S.

doi:10.1016/j.trf.2018.06.004

Cited by 137 publications

(78 citation statements)

References 28 publications

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“…It relates to individual factors such as gender, age, culture background and personality. Researchers examined the influence of gender and age on AD trust [12,13] and found that older adults were more likely to trust AD, yet no difference was found between male and female operators. The source of system represents a person's knowledge of a system drawn from past experience or interaction with the system.…”

Section: Introductionmentioning

confidence: 99%

“…The existing AD studies have focused predominantly on internal characteristics of the operator. Researchers consistently demonstrated that take-over experience of an AD system allowed a driver to recognize the shortcomings of the system, resulting in better understanding of the system, hence increasing trust level [12,13,19]. Payre et al [20] further showed that extensively training drivers (e.g., in overtaking a car or being overtaken by a car) could reduce the negative impact of over-trust.…”

Section: Introductionmentioning

confidence: 99%

“…Payre et al [20] further showed that extensively training drivers (e.g., in overtaking a car or being overtaken by a car) could reduce the negative impact of over-trust. Meanwhile, Molnar et al [13] noticed that a driver's trust in the AD system was also correlated with his/her comfort with other drivers.…”

Section: Introductionmentioning

confidence: 99%

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Personality Openness Predicts Driver Trust in Automated Driving

Yao

Shi

et al. 2020

Automot. Innov.

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Maintaining an appropriate level of trust in automated driving (AD) is critical to safe driving. However, few studies have explored factors affecting trust in AD in general, and no study, as far as is known, has directly investigated whether driver personality influences driver trust in an AD system. The current study investigates the relation between driver personality and driver trust in AD, focusing on Level 2 AD. Participants were required to perform a period of AD in a driving simulator, during which their gaze and driving behavior were recorded, as well as their subjective trust scores after driving. In three distinct measures, a significant correlation between Openness and driver trust in the AD system is found: participants with higher Openness traits tend to have less trust in the AD system. No significant correlations between driver trust in AD and other personality traits are found. The findings suggest that driver personality has an impact on driver trust in AD. Theoretical and practical implications of this finding are discussed.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Personality Openness Predicts Driver Trust in Automated Driving

Yao

Shi

et al. 2020

Automot. Innov.

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“…Many of the studies that have focused on trust in AVs also examined preference for AV and anxiety (Abraham et al, 2017;Koo et al, 2015Koo et al, , 2016Molnar et al, 2018;Nass et al, 2005, Takayama andNass, 2008;Shabanpour et al, 2018). Anxiety is often defined as a feeling of fear, worry, apprehension or concern.…”

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confidence: 99%

“…As mentioned, we also included mental workload as an outcome measure. Although previous studies examining AV explanations have not examined mental workload, it has been a focal point for many other AV studies (Molnar et al, 2018;Jamson et al, 2013;Young et al, 2004Young et al, , 2007…”

mentioning

confidence: 99%

Look who’s talking now: Implications of AV’s explanations on driver’s trust, AV preference, anxiety and mental workload

Haspiel

Zhang

et al. 2019

Transportation Research Part C: Emerging Technologies

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107

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Explanations given by automation are often used to promote automation adoption. However, it remains unclear whether explanations promote acceptance of automated vehicles (AVs). In this study, we conducted a within-subject experiment in a driving simulator with 32 participants, using four different conditions. The four conditions included: (1) no explanation, (2) explanation given before or (3) after the AV acted and (4) the option for the driver to approve or disapprove the AV's action after hearing the explanation. We examined four AV outcomes: trust, preference for AV, anxiety and mental workload. Results suggest that explanations provided before an AV acted were associated with higher trust in and preference for the AV, but there was no difference in anxiety and workload. These results have important implications for the adoption of AVs.

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Calibration of Trust in Autonomous Vehicle

Lee

Ji²

2022

Automation, Collaboration, &Amp; E-Services

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Understanding trust and acceptance of automated vehicles: An exploratory simulator study of transfer of control between automated and manual driving

Cited by 137 publications

References 28 publications

Personality Openness Predicts Driver Trust in Automated Driving

Personality Openness Predicts Driver Trust in Automated Driving

Look who’s talking now: Implications of AV’s explanations on driver’s trust, AV preference, anxiety and mental workload

Calibration of Trust in Autonomous Vehicle

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