User preferences regarding autonomous vehicles

Haboucha, Chana Joanne; Ishaq, Robert; Shiftan, Yoram

doi:10.1016/j.trc.2017.01.010

Cited by 766 publications

(512 citation statements)

References 12 publications

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“…The AD community has realized the importance of understanding public opinion, attitudes, and acceptance. Recent studies (Abraham et al., ; Bansal et al., ; Haboucha, Ishaq, & Shiftan, ; Howard & Dai, ; Kyriakidis et al., ; Payre, Cestac, & Delhomme, ; Schoettle & Sivak, , ) have documented general public opinion, perception, and acceptance issues associated with AD technologies. Several of them surveyed general public acceptance of varying AD automation levels.…”

Section: Introductionmentioning

confidence: 99%

Public Acceptance of Fully Automated Driving: Effects of Social Trust and Risk/Benefit Perceptions

2018

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Automated driving (AD) is one of the most significant technical advances in the transportation industry. Its safety, economic, and environmental benefits cannot be realized if it is not used. To explain, predict, and increase its acceptance, we need to understand how people perceive and why they accept or reject AD technology. Drawing upon the trust heuristic, we tested a psychological model to explain three acceptance measures of fully AD (FAD): general acceptance, willingness to pay (WTP), and behavioral intention (BI). This heuristic suggests that social trust can directly affect acceptance or indirectly affect acceptance through perceived benefits and risks. Using a survey (N = 441), we found that social trust retained a direct effect as well as an indirect effect on all FAD acceptance measures. The indirect effect of social trust was more prominent in forming general acceptance; the direct effect of social trust was more prominent in explaining WTP and BI. Compared to perceived risk, perceived benefit was a stronger predictor of all FAD acceptance measures and also a stronger mediator of the trust-acceptance relationship. Predictive ability of the proposed model for the three acceptance measures was confirmed. We discuss the implications of our results for theory and practice.

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Section: Introductionmentioning

confidence: 99%

Public Acceptance of Fully Automated Driving: Effects of Social Trust and Risk/Benefit Perceptions

2018

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“…In addition, traffic safety could be increased even more by integrating intelligent communication systems into vehicles that enable the exchange of sensor data between the road users and the road infrastructure to broaden the information base for decision making of drivers and AVs in safety critical situations (Endsley & Garland, ; Picone, Busanelli, Amoretti, Zanichelli, & Ferrari, ). Through optimized routing and traffic flow management, resources will be used more efficiently, which reduces congestion and CO 2 emissions (Fagnant & Kockelman, ; Ross, ) and enables smart platooning (Haboucha, Ishaq, & Shiftan, ). As for AVs, they are supposed to drive even more efficiently and safely because they are equipped with artificial intelligence, which allows to sense and process all relevant information received from other vehicles or the surrounding infrastructure (Sanchez, ).…”

Section: Introductionmentioning

confidence: 99%

sCARy! Risk Perceptions in Autonomous Driving: The Influence of Experience on Perceived Benefits and Barriers

2018

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The increasing development of autonomous vehicles (AVs) influences the future of transportation. Beyond the potential benefits in terms of safety, efficiency, and comfort, also potential risks of novel driving technologies need to be addressed. In this article, we explore risk perceptions toward connected and autonomous driving in comparison to conventional driving. In order to gain a deeper understanding of individual risk perceptions, we adopted a two‐step empirical procedure. First, focus groups (N=17) were carried out to identify relevant risk factors for autonomous and connected driving. Further, a questionnaire was developed, which was answered by 516 German participants. In the questionnaire, three driving technologies (connected, autonomous, conventional) were evaluated via semantic differential (rating scale to identify connotative meaning of technologies). Second, participants rated perceived risk levels (for data, traffic environment, vehicle, and passenger) and perceived benefits and barriers of connected/autonomous driving. Since previous experience with automated functions of driver assistance systems can have an impact on the evaluation, three experience groups have been formed. The effect of experience on benefits and barrier perceptions was also analyzed. Risk perceptions were significantly smaller for conventional driving compared to connected/autonomous driving. With increasing experience, risk perception decreases for novel driving technologies with one exception: the perceived risk in handling data is not influenced by experience. The findings contribute to an understanding of risk perception in autonomous driving, which helps to foster a successful implementation of AVs on the market and to develop public information strategies.

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“…Though often touted as a safer alternative to traditionally driven vehicles, automation is not always thought of as positive. Research on public perception of self-driving cars has generally found that individuals are not totally unwilling, but are hesitant to adopt and pay for new levels of autonomy in their vehicles (Haboucha et al 2017;Kyriakidis et al 2015). Older drivers tend prefer a lower level of automation in their cars, and have different levels of willingness for certain automated features (e.g., older users are less willing to have an automated function that sometimes takes control of driving) (Abraham et al 2017).…”

Section: Driverless Vehicle Researchmentioning

confidence: 99%

“…However, the literature on willingness to utilize self-driving public transportation vehicles is very limited, and even less is understood about the consumer in either situation. Prior studies have mostly focused on age or gender (Haboucha et al 2017;Kyriakidis et al 2015;Abraham et al 2017). The current study utilizes a willingness to ride scale in order to investigate the willingness of participants to let their children ride in automated school buses, and further investigate the individual differences which may influence willingness.…”

Section: Willingness and The Consumermentioning

confidence: 99%

Why People Are Not Willing to Let Their Children Ride in Driverless School Buses: A Gender and Nationality Comparison

et al. 2018

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Abstract:As driverless vehicles proliferate, it is possible that this technology will be applied in mass transport vehicles. School buses may be suited for autonomous operations as they follow set routes and schedules. However, a research gap exists in whether or not parents would be willing to have their children ride in autonomously operated school buses. The purpose of this study was to examine parents' willingness to allow their child to ride in an autonomous school bus. Participant gender and nationality were also two independent variables, along with affect measures as a possible mediating variable. The research used a two-study approach. In study one, it was found that participants were less willing to have their child ride in a driverless school bus than a traditional human-operated vehicle. In study two, findings suggest a significant interaction between the type of driver, participant gender, and nationality. In general, American females were less willing than Indian females and overall, Americans were less willing than Indians in the driverless conditions. Affect was found to be a mediating variable, which suggests that emotions were playing a role in the responses of participants. The paper concludes with theoretical contributions, practical applications, and suggestions for future research.

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User preferences regarding autonomous vehicles

Cited by 766 publications

References 12 publications

Public Acceptance of Fully Automated Driving: Effects of Social Trust and Risk/Benefit Perceptions

Public Acceptance of Fully Automated Driving: Effects of Social Trust and Risk/Benefit Perceptions

sCARy! Risk Perceptions in Autonomous Driving: The Influence of Experience on Perceived Benefits and Barriers

Why People Are Not Willing to Let Their Children Ride in Driverless School Buses: A Gender and Nationality Comparison

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