Consumers’ attitudes toward information security threats against connected and autonomous vehicles

Maeng, Kyuho; Kim, Woojae; Cho, Youngsang

doi:10.1016/j.tele.2021.101646

Cited by 16 publications

(3 citation statements)

References 26 publications

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“…The diversification of the rapidly increasing research in the field of AVs is reviewed by Sciaccaluga and Delponte, who recommend the use of new instruments such as gamification to analyze users' sensations, perceptions, and fears about using AVs in a new way [76]. Another barrier to the adoption of AV technology is cyber and information security threats which were investigated by Maeng et al; they found that consumers are highly sensitive about their personal data privacy and communication failures in AVs [77].…”

Section: Adoption Of Avsmentioning

confidence: 99%

The Interrelationship between Road Pricing Acceptability and Self-Driving Vehicle Adoption: Insights from Four Countries

et al. 2022

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Driverless vehicles (i.e., autonomous and shared autonomous vehicles) are associated with many advantages for the transportation market. However, they may also increase the traveled miles on roads due to improved accessibility, thus aggravating congestion. Road pricing (RP) is a possible solution for mitigating traffic-related problems like congestion. Despite its benefits, RP is usually resented by the public, which may hinder its introduction. This study investigates the factors that may influence RP acceptability in the era of driverless vehicles and driverless vehicle adoption in the presence of RP. For this purpose, a survey was distributed in Hungary, Jordan, Ukraine, and Brazil. The study applied factor analysis, multiple linear regression, and multinomial logit modeling to examine RP acceptability and driverless vehicle adoption. All examined factors have a significant impact on mode choice. For instance, respondents willing to share their trips with others due to the application of RP, opted for shared autonomous vehicles, while those who enjoy driving were less likely to choose autonomous vehicles. In terms of RP acceptability, the respondents who were environmentally conscious in their trip planning showed more acceptance of RP. This study shows the significant impacts of the investigated factors on RP acceptability and driverless vehicle adoption.

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Section: Adoption Of Avsmentioning

confidence: 99%

The Interrelationship between Road Pricing Acceptability and Self-Driving Vehicle Adoption: Insights from Four Countries

et al. 2022

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“…However, its failure is also a cause for worry. Maeng, et al 5 found that customers see communication failure (connectivity) as the most significant hazard to the safe functioning of AV. Similarly, ITS infrastructure, such as machine-readable road signs, smart roadway markings, or sensors, is required to function AV 6 .…”

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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“…Moreover, by one single personal information leakage that occurs by firms (Eom & Kim, 2016), attacking from hackers or during unexpected process (Guri et al, 2016), may bring about unallowed access to whole IoT devices that use identical personal information. A paradigm shift caused by the development of ICT such as the Internet of Things (IoT) is inevitable, but consumers’ concerns about personal information infringement and security breach may act as a deterrent to spread of new technology such as e-commerce (Dinev et al, 2006; Dinev & Hart, 2005), healthcare (Chacko & Hayajneh, 2018), and connected automated vehicles (Bansal & Kockelman, 2017; Choi & Ji, 2015) as pointed out by Atzori et al (2010) and Maeng et al (2021). However, consumers are willing to provide personal information if they think it is more beneficial than the cost of the damage (Dinev & Hart, 2006; Al-Jabri et al, 2019; Kim et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Consumer preference structure of online privacy concerns in an IoT environment

Kim

Park

Shin

et al. 2022

International Journal of Market Research

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Due to the development of the Internet of Things (IoT) and IoT environments, various concerns have been raised regarding personal information infringement and leakage. To establish a policy for addressing this issue, it is essential to estimate the damage caused by personal information infringement and leakage and decide upon an appropriate policy direction that reflects consumer’s value of their personal information. Therefore, we first estimated how much consumers value each type of personal information using contingent valuation method and assigning a monetary value to each information type. Second, we analyzed consumers’ preference for conditions in which they will provide personal information. A conjoint analysis was used to discover consumer preference concerning the various attributes of the conditions and a mixed logit model was used for the empirical analysis. The results of the analysis show that consumers valued personal information related to private life the most, at approximately USD 110 on average. We also found that demographic variables such as gender and income level affect personal information values. The results of the attributes required to provide personal information analysis found that opt-in was preferred to opt-out and that consumers preferred having optimal authority to control their personal information, rather than whole authority. These results show that consumers are willing to provide their personal information when an adequate reward is given. Therefore, formulating policy direction to establish a confidential market for trading personal information rather than unconditional personal information protection is required.

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Consumers’ attitudes toward information security threats against connected and autonomous vehicles

Cited by 16 publications

References 26 publications

The Interrelationship between Road Pricing Acceptability and Self-Driving Vehicle Adoption: Insights from Four Countries

The Interrelationship between Road Pricing Acceptability and Self-Driving Vehicle Adoption: Insights from Four Countries

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

Consumer preference structure of online privacy concerns in an IoT environment

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