Cognitive underpinnings of beliefs and confidence in beliefs about fully automated vehicles

Sanbonmatsu, David M.; Strayer, David L.; Yu, Zhenghui; Biondi, Francesco; Cooper, Joel M.

doi:10.1016/j.trf.2018.02.029

Cited by 90 publications

(64 citation statements)

References 24 publications

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“…A third limitation of MAVA is that for the sake of brevity and a paucity of knowledge, it only concentrates on the micro-and meso-level and refrains from detailing the macro-level as an assembly of higher-level external contextual factors (i.e., environment, organisation and location). The macro-level is a potentially relevant determinant of AVA (Sanbonmatsu et al 2018). Future research should also not neglect the role of the factors that were discarded from the analysis of the present study.…”

Section: Discussionmentioning

confidence: 96%

“…In the same vein, Kyriakidis, Happee, and De Winter (2015) found that people currently using Adaptive Cruise Control (ACC) would be willing to pay more for AVs, while they were also more comfortable about driving without a steering wheel. Sanbonmatsu et al (2018) pointed to the limited knowledge of the public of fully automated vehicles (i.e., only 32.5% was aware that self-driving vehicles would not be equipped with a steering wheel) and found that as knowledge of fully automated vehicles increased, beliefs about driverless cars were more positive. Anania et al (2018) revealed that, with the exception of Indian females, receiving positive information resulted in a higher willingness to ride in a driverless vehicle compared to receiving negative or no information.…”

Section: Exposure To Avs: Knowledge and Experiencementioning

confidence: 99%

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A multi-level model on automated vehicle acceptance (MAVA): a review-based study

Nordhoff

Kyriakidis

Arem

et al. 2019

Theoretical Issues in Ergonomics Science

153

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Automated vehicle acceptance (AVA) is a necessary condition for the realisation of higher-level objectives such as improvements in road safety, reductions in traffic congestion and environmental pollution. On the basis of a systematic literature review of 124 empirical studies, the present study proposes MAVA, a multi-level model to predict AVA. It incorporates a process-oriented view on AVA, considering acceptance as the result of a four-stage decision-making process that ranges from the exposure of the individual to automated vehicles (AVs) in Stage 1, the formation of favourable or unfavourable attitudes towards AVs in Stage 2, making the decision to adopt or reject AVs in Stage 3, to the implementation of AVs into practice in Stage 4. MAVA incorporates 28 acceptance factors that represent seven main acceptance classes. The acceptance factors are located at two levels, i.e., micro and meso. Factors at the micro-level constitute individual difference factors (i.e., sociodemographics, personality and travel behaviour). The meso-level captures the exposure of individuals to AVs, instrumental domain-specific, symbolic-affective and moral-normative factors of AVA. The literature review revealed that 6% of the studies investigated the exposure of individuals to AVs (i.e., knowledge and experience). 22% of the studies investigated domain-specific factors (i.e., performance and effort expectancy, safety, facilitating conditions, and service and vehicle characteristics), 4% symbolic-affective factors (i.e., hedonic motivation and social influence), and 12% moral-normative factors (i.e., perceived benefits and risks). Factors related to a person's socio-demographic profile, travel behaviour and personality were investigated by 28%, 15% and 14% of the studies, respectively. We recommend that future studies empirically verify MAVA using longitudinal or experimental studies.

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Section: Discussionmentioning

confidence: 96%

Section: Exposure To Avs: Knowledge and Experiencementioning

confidence: 99%

A multi-level model on automated vehicle acceptance (MAVA): a review-based study

Nordhoff

Kyriakidis

Arem

et al. 2019

Theoretical Issues in Ergonomics Science

153

View full text Add to dashboard Cite

show abstract

“…So far, there is limited knowledge of the public about automated vehicles (Sanbonmatsu, Strayer, Zhenghui, Biondi, & Cooper, 2018) and an uncertainty of what the public understands about driverless technology and how the technology can form part of their lives in the short-and middle-run (Langdon et al, 2017).…”

Section: Study Strengths and Limitationsmentioning

confidence: 99%

What impressions do users have after a ride in an automated shuttle? An interview study

Nordhoff

Winter

Payre

et al. 2019

Transportation Research Part F: Traffic Psychology and Behaviou

117

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“…König & Neumayr, 2017, p. 45) or pro-poses public education with a view to facilitating AV introduction (e.g. Sanbonmatsu, Strayer, Yu, Biondi, & Cooper, 2018). But it is worth stressing that the promise of AV technology is precisely that AVs will drive better than, and so differ-ently from, human drivers.…”

Section: Novel Technological Objectsmentioning

confidence: 99%

Public discomfort at the prospect of autonomous vehicles: Building on previous surveys to measure attitudes in 11 countries

Tennant

Stares

Howard

2019

Transportation Research Part F: Traffic Psychology and Behaviou

View full text Add to dashboard Cite

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Cognitive underpinnings of beliefs and confidence in beliefs about fully automated vehicles

Cited by 90 publications

References 24 publications

A multi-level model on automated vehicle acceptance (MAVA): a review-based study

A multi-level model on automated vehicle acceptance (MAVA): a review-based study

What impressions do users have after a ride in an automated shuttle? An interview study

Public discomfort at the prospect of autonomous vehicles: Building on previous surveys to measure attitudes in 11 countries

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