Trust and perceived risk: How different manifestations affect the adoption of autonomous vehicles

Kenesei, Zsófia; Ásványi, Katalin; Kökény, László; Jászberényi, Melinda; Miskolczi, Márk; Gyulavári, Tamás; Syahrivar, Jhanghiz

doi:10.1016/j.tra.2022.08.022

Cited by 34 publications

(18 citation statements)

References 46 publications

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“…Nonetheless, mixed results are found leaving the mechanism of perceived risk pathway in the argument (Kenesei et al, 2022). Kenesei et al (2022) further suggested that the mixed results might be due to the embedded meaning in a single term. For instance, performance trust influences performance risk but not privacy risk.…”

Section: Perceived Risk (Pr) In Av Acceptancementioning

confidence: 99%

“…Extant studies have noted that perceived risks associated with AVs are mainly related to safety risk due to the malfunction of technology or system failures, privacy risks on the possibility of travel or personal data leakage, cyber security risk as well as performance risk where AVs are unable to perform up to expectation (Benleulmi and Blecker, 2017;Menon et al, 2016;Kenesei et al, 2022). More than 80% of respondents in the US were worried about the potential safety issues while as high as 33% of surveyed drivers expressed concerns on privacy disclosure (Menon et al 2016).…”

Section: Perceived Risk (Pr) In Av Acceptancementioning

confidence: 99%

“…Nevertheless, the role of risk on acceptance of AVs has been widely explored but the findings are mixed (Kenesei et al, 2022) due to the different dimensions used to measure perceived risk. Kenesei et al (2022) attributed the reason behind the ambiguous evidence is because the perceived risk is often treated as one-dimensional construct in the AVs acceptance studies though the perceived risk can be further expanded into six (6) facets:…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Review of Perceived Risk Role in Autonomous Vehicles Acceptance

Sim

Chen

Lau

et al. 2023

IJOMFA

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The purpose of this study is to critically review literature pertaining to the theoretical concept of perceived risk and its role in autonomous vehicle (AV) studies. A mapping on the placement of perceived risk to explain its position concerning AV acceptance either as a direct predictor or mediator as well as the number of dimensions used (i.e., single or multi-dimensions) in the context of AV, will be derived based on the critical review. Interestingly, a critical gap was discovered in which very little attention had been paid to the use of perceived risk as the multidimensional constructs that included financial risk, time risk, performance risk, psychological risk, social risk, and physical risk. The embedded meaning in the single perceived risk term might be one of the reasons leading to the inconclusive findings on the understanding of public acceptance of AVs. Furthermore, the review revealed that the role of perceived risk could be classified into four clusters using a knowledge map. This study enriches the literature by providing a summary framework map for various dimensions of perceived risk used in studying the public acceptance of AVs. Insights of the framework can help researchers to formulate better future research directions in evaluating the impacts of constructs in adopting AVs.

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Section: Perceived Risk (Pr) In Av Acceptancementioning

confidence: 99%

Section: Perceived Risk (Pr) In Av Acceptancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Review of Perceived Risk Role in Autonomous Vehicles Acceptance

Sim

Chen

Lau

et al. 2023

IJOMFA

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“…First, efforts to comprehend the public's acceptance of AVs are still limited, and their psychological determinants are largely unknown 13 . Second, the obstacles that have emerged as a result of cyber-related realms are investigated in a limited dimension with a focus on adoption only; primarily as perceived risk, either as an antecedent for trust in adoption or as an antecedent for adoption directly 14 . The emphasis is predominantly on assessing the acceptance of AVs in terms of safety, privacy, security, and performance 15 .…”

Section: Introductionmentioning

confidence: 99%

“…The literature lacks an assessment of novel avenues for AV deployment that are prevalent among the general public, such as vehicle internet connectivity or ITS infrastructure, self-driving vehicle insurance, or a lack of potential cybersecurity regulation 16 . The authors 14 , 17 have stressed the importance of further research into how cybersecurity influences the willingness to use AVs.…”

Section: Introductionmentioning

confidence: 99%

A multinational empirical study of perceived cyber barriers to automated vehicles deployment

Khan

Shiwakoti

Stasinopoulos

et al. 2023

Sci Rep

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The digital transformation of Automated Vehicles (AVs) has raised concerns in the cyber realm among prospective AV consumers. However, there is a dearth of empirical research on how cyber obstacles may impact the operation of AVs. To address this knowledge gap, this study examines the six critical cyber impediments (data privacy, AV connectivity, ITS infrastructure, lack of cybersecurity regulations, AV cybersecurity understanding, and AV cyber-insurance) that influence the deployment of AVs. The impact of gender, age, income level, and individual AV and cybersecurity knowledge on these obstacles are statistically assessed using a sample of 2061 adults from the United States, the United Kingdom, New Zealand, and Australia. The research revealed intriguing empirical findings on all cyber barriers in the form of a trichotomy: participants' education level, understanding of AVs, and cybersecurity knowledge. As education levels increase, the significance of a cyber barrier to AV deployment decreases; however, as AV comprehension and cybersecurity knowledge increase, the perception of a cyber barrier becomes significantly more important. In addition, the study demonstrates differences in perceptions of cyber barriers and AV deployments based on gender, age, income, and geographic location. This study's findings on cyber barriers and AV deployment have implications for academia and industry.

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Vulnerability and Experience: Unpacking the Dynamics of Trust in Autonomous Vehicle Adoption

Tang,

Bashir

2024

Lecture Notes in Networks and Systems

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Trust and perceived risk: How different manifestations affect the adoption of autonomous vehicles

Cited by 34 publications

References 46 publications

A Review of Perceived Risk Role in Autonomous Vehicles Acceptance

A Review of Perceived Risk Role in Autonomous Vehicles Acceptance

A multinational empirical study of perceived cyber barriers to automated vehicles deployment

Vulnerability and Experience: Unpacking the Dynamics of Trust in Autonomous Vehicle Adoption

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