Age Differences in Acceptance of Self-driving Cars: A Survey of Perceptions and Attitudes

Lee, Chaiwoo; Ward, Carley; Raue, Martina; D’Ambrosio, Lisa; Coughlin, Joseph F.

doi:10.1007/978-3-319-58530-7_1

Cited by 77 publications

(51 citation statements)

References 12 publications

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“…Still, all cultures had concerns about riding in self‐driving vehicles and expressed distrust feelings about system reliability of autonomous cars in comparison to human drivers, which were perceived as more reliable. Moreover, a recent study revealed that—beyond national cultures—age and generation cultures also impact the adoption willingness for AVs (Lee et al., ).…”

Section: Discussion and Future Research Dutiesmentioning

confidence: 99%

“…Recently, Lee et al. (Lee, Ward, Raue, D'Ambrosio, & Coughlin, ) explored the public acceptance of self‐driving cars using a large American sample. They reported that there were both age‐related and age‐independent factors that are relevant for the acceptance of self‐driving cars.…”

Section: Introductionmentioning

confidence: 99%

“…Even so, the impact of user factors on risk perception in autonomous driving has not fully been explored yet. This involves the familiarity and the experience with driver assistance systems, which might be a prominent factor in risk perception (Lee et al., ; Tussyadiah, Zach, & Wang, ). In addition, risk assessments might differ for different driving technologies.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Discussion and Future Research Dutiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

2018

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“…Two additional variables Lee and Coughlin () consider in their review, usability and value, map on to ease of use and perceived usefulness, key constructs from the widely used technology acceptance model (TAM) (Davis, Bagozzi, & Warshaw, ). Perceived usefulness or the perceived potential benefits has been shown in some empirical work to be a more significant factor in explaining adoption than ease of use (Lee, Ward, Raue, D'Ambrosio, & Coughlin, ).…”

Section: Introductionmentioning

confidence: 99%

“…Other factors that have been identified as significant for understanding technology adoption include the relevance of people's previous experiences (including with the technology) and system reliability—the ability of the system to work without failure (Lee et al., ). The concept of system reliability, or the belief that the system will work as described, is a form of trust in the technology; it is in essence the belief that the technology will deliver on its promised performance.…”

Section: Introductionmentioning

confidence: 99%

The Influence of Feelings While Driving Regular Cars on the Perception and Acceptance of Self‐Driving Cars

et al. 2019

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Self‐driving vehicles will affect the future of transportation, but factors that underlie perception and acceptance of self‐driving cars are yet unclear. Research on feelings as information and the affect heuristic has suggested that feelings are an important source of information, especially in situations of complexity and uncertainty. In this study (N = 1,484), we investigated how feelings related to traditional driving affect risk perception, benefit perception, and trust related to self‐driving cars as well as people's acceptance of the technology. Due to limited experiences with and knowledge of self‐driving cars, we expected that feelings related to a similar experience, namely, driving regular cars, would influence judgments of self‐driving cars. Our results support this assumption. While positive feelings of enjoyment predicted higher benefit perception and trust, negative affect predicted higher risk and higher benefit perception of self‐driving cars. Feelings of control were inversely related to risk and benefit perception, which is in line with research on the affect heuristic. Furthermore, negative affect was an important source of information for judgments of use and acceptance. Interest in using a self‐driving car was also predicted by lower risk perception, higher benefit perception, and higher levels of trust in the technology. Although people's individual experiences with advanced vehicle technologies and knowledge were associated with perceptions and acceptance, many simply have never been exposed to the technology and know little about it. In the absence of this experience or knowledge, all that is left is the knowledge, experience, and feelings they have related to regular driving.

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Acceptance of robo‐advisors: Effects of financial experience, affective reactions, and self‐enhancement motives

2019

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Robo‐advisors have recently been gaining interest as a technology‐enabled means to make financial management easier. The aim of this study is to examine how people's self‐assessed financial experience, affective reactions, and the interplay with individual values influence their willingness to use a robo‐advisor. We argue that one's self‐assessed financial experience influences the willingness to use robo‐advisors as a result of different affective reactions (i.e., anxiety and joy) associated with its usage. We further posit that the mediating effect of anxiety varies with individual levels of a motivational factor—self‐enhancement—which has been found to regulate anxiety‐related feelings. Based on a large‐scale nationwide survey with an online sample of American adults, it was found that affective responses (i.e., anxiety and joy) explain (i.e., mediate) the effect of self‐assessed financial experience on the willingness to use robo‐advisor. Moreover, the mediating effect of anxiety was found to vary with levels of self‐enhancement motives. The findings suggest that willingness to use robo‐advisors may be increased with positive emotions (e.g., joy) expected from use, while decreased by anticipated negative emotions (e.g., anxiety), and that the relationship may be altered by inducing individuals' self‐enhancement motives (e.g., possibility of accumulating wealth).

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Age Differences in Acceptance of Self-driving Cars: A Survey of Perceptions and Attitudes

Cited by 77 publications

References 12 publications

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

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

The Influence of Feelings While Driving Regular Cars on the Perception and Acceptance of Self‐Driving Cars

Acceptance of robo‐advisors: Effects of financial experience, affective reactions, and self‐enhancement motives

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