2015
DOI: 10.1007/bf03373945
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Drivers’ Reliance on Lane-Keeping Assistance Systems as a Function of the Level of Assistance

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Cited by 4 publications
(3 citation statements)
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“…Excepting four drivers who did not complete the experiment due to motion sickness, 37 participants were finally involved, including 21 male drivers and 16 female drivers, while they were from different occupations, such as teachers, company employees, workers and students, which makes the experimental group more representative of the entire driving population during the school bus travel period of our study. Subjects of different driving ages were selected, due to the heterogeneity in traffic behavior and the risk of road traffic crashes [ 21 , 22 , 23 ]. In addition, this study also considered a balanced ratio of males to females in the selection of subjects [ 21 , 24 , 25 ].…”
Section: Methodsmentioning
confidence: 99%
“…Excepting four drivers who did not complete the experiment due to motion sickness, 37 participants were finally involved, including 21 male drivers and 16 female drivers, while they were from different occupations, such as teachers, company employees, workers and students, which makes the experimental group more representative of the entire driving population during the school bus travel period of our study. Subjects of different driving ages were selected, due to the heterogeneity in traffic behavior and the risk of road traffic crashes [ 21 , 22 , 23 ]. In addition, this study also considered a balanced ratio of males to females in the selection of subjects [ 21 , 24 , 25 ].…”
Section: Methodsmentioning
confidence: 99%
“…Studies on the use of DAS and the associated effects on driver behaviour often follow a specific experimental design (e.g. [15][16][17]). Briefly, experimental groups are built which make a comparison between driving with a deactivated and with an activated system possible.…”
Section: System Functionalitymentioning
confidence: 99%
“…This may result in dangerous driving situations when drivers use, and rely on, the automation outside its ODD. Additionally, over-trust may lead to inattention and engagement in non-driving tasks, affecting automation use through lowered situation awareness (Popken, Krems, & Nilsson, 2009;Wickens & Carswell, 2012). For example, if a driver beliefs that the car can drive in automated mode without supervision on highways, (s)he will trust the car to do so and will consequently not (or only partially) monitor the situation on highways.…”
Section: Trustmentioning
confidence: 99%