Gender and age differences in the anticipated acceptance of automated vehicles: insights from a questionnaire study and potential for application

Weigl, Klemens; Steinhauser, Marco; Riener, Andreas

doi:10.1080/09718524.2022.2137893

Cited by 4 publications

(1 citation statement)

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“…More cautious drivers tended to report higher general acceptability of driver monitoring systems, which comports with the notion that cautious drivers may be more accepting of technology that purports to support safe driving. Finally, there was a significant negative relationship between driving experience and perceived ease of use, which is consistent with some reports that more experienced and older drivers may tend to be less accepting of new ADAS technology ( [58,75] ; for a review, see [56] ).…”

Section: Potential Correlates Of Dsm Acceptabilitysupporting

confidence: 87%

Acceptability of Driver State Monitoring

Nees,

Tian

2024

Preprint

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Though widespread monitoring of driver states and behaviors appears to be imminent, research on perceived acceptability of driver state monitoring has lagged behind research on acceptance of automated driving per se. The current study used an original 29-item driver state monitoring acceptability scale to examine potential theoretical subdimensions of acceptability of driver state monitoring (DSM) systems with an exploratory factor analysis approach. The study used an online, U.S.-based sample. Three subdimensions of DSM acceptability emerged: (1) general acceptability of DSM; (2) concerns over DSM; and (3) perceived ease of use. Correlational analyses were conducted to investigate relationships of subdimensions of DSM acceptability with driving styles, accident concerns, perceived driving skill, tendency to speed, self-reported accident and violations history, and demographic variables. Results showed significant but weak relationships between subdimensions of DSM acceptability with a number of variables, including positive relationships with cautious driving styles, familiarity with advanced driver assistance technology (ADAS), and accidents and violations history. Negative relationships were found between acceptability and anxious driving styles, driving experience, and worries of being involved in car accidents. Female participants reported a lower level of acceptability than male participants, whereas current/previous DSM users reported a higher level of acceptability than non-users. Participants also were randomly assigned to receive descriptions indicating that DSM would occur during all driving periods or only during periods when automated systems were engaged. There were no significant differences in acceptability ratings for monitoring in the presence versus absence of automated driving.

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Section: Potential Correlates Of Dsm Acceptabilitysupporting

confidence: 87%

Acceptability of Driver State Monitoring

Nees,

Tian

2024

Preprint

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Public Perception of Technologies in Society: Mapping Laypeople’s Mental Models in Terms of Risk and Valence

Brauner,

Glawe,

Vervier

et al. 2024

DISO

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Technological advancements profoundly shape individuals, society, and the planet. As we continue to innovate, it is essential to assess how the public perceives both the benefits and risks of new technologies. This study explores the mental models of N = 111 laypeople from a convenient sample mainly from Germany and Bulgaria regarding a wide range of technologies and technology-driven trends, focusing on valence, familiarity, perceived risk, and the desire for societal debate. The article presents: (1) a ranking of various technologies and trends based on their valence (or perceived value), risk, familiarity, and societal debate demand; (2) a detailed analysis and visual mapping of the strong correlation between risk and valence (r2 = 89%) and the moderate association between familiarity and the desire for societal debate (r2 = 33%); and (3) an examination of the limited impact of user diversity on these perceptions. These findings underscore the importance of understanding public perceptions to guide responsible technological development and policy-making, highlighting key areas for fostering public acceptance and guiding governance of technology. Based on this, we derive actionable policy recommendations.

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