TY - CHAP
T1 - Acceptance of autonomous vehicles: An overview of user-specific, car-specific and contextual determinants
AU - Mara, Martina
AU - Meyer, Kathrin
PY - 2022/1
Y1 - 2022/1
N2 - Successful dissemination of a new technology requires broad acceptance in society. This is no different with autonomous vehicles. Despite the benefits that autonomous driving promises to bring with it, many people remain skeptical about letting a computer control a car. In recent years, numerous studies have therefore investigated when, how and why people would (or would not) be willing to make use of autonomous vehicles. This chapter gives an overview of the relevant scientific literature. After a summary of essential theoretical frameworks, the variables that were found by empirical research to predict or correlate with the acceptance of autonomous vehicles are organized into three categories: user-specific determinants (e.g., socio-demographics and personality traits), car-specific determinants (e.g., perceived safety, predictability and appearance), and contextual determinants (e.g., road conditions). Based on this review, limitations of previous work, open research questions and practical implications are discussed, which leads to the ultimate conclusion that the obstacles on the road to autonomous mobility are not merely technical, but also psychological.
AB - Successful dissemination of a new technology requires broad acceptance in society. This is no different with autonomous vehicles. Despite the benefits that autonomous driving promises to bring with it, many people remain skeptical about letting a computer control a car. In recent years, numerous studies have therefore investigated when, how and why people would (or would not) be willing to make use of autonomous vehicles. This chapter gives an overview of the relevant scientific literature. After a summary of essential theoretical frameworks, the variables that were found by empirical research to predict or correlate with the acceptance of autonomous vehicles are organized into three categories: user-specific determinants (e.g., socio-demographics and personality traits), car-specific determinants (e.g., perceived safety, predictability and appearance), and contextual determinants (e.g., road conditions). Based on this review, limitations of previous work, open research questions and practical implications are discussed, which leads to the ultimate conclusion that the obstacles on the road to autonomous mobility are not merely technical, but also psychological.
U2 - 10.1007/978-3-030-77726-5_3
DO - 10.1007/978-3-030-77726-5_3
M3 - Chapter
T3 - Studies in Computational Intelligence
SP - 51
EP - 83
BT - User Experience Design in the Era of Automated Driving
A2 - Andreas Riener, Myounghoon Jeon, Ignacio Alvarez, null
PB - Springer
ER -