@inbook{264ab1e5a1bd4c5693ccf3196baaabe0,
title = "Calibrating trust to increase the use of automated systems in a vehicle",
abstract = "While accident data show that human error is the cause of most of the on-road accidents, the move towards assisting or replacing the human driver with an automated system is not a straightforward one. Industries like aerospace, manufacturing, process etc. have a high penetration of automated systems; however, the automotive industry provides new challenges due to different and more dynamic interactions between the actors (driver, vehicle and environment). To reap benefits from the automated systems, drivers have to use the automated systems. Drivers? trust in automated systems is one of the most important factors influencing drivers? use of automated systems. Trust on automated systems is a dynamic construct, which can change with experience. While discussing various factors which influence drivers? trust on automated systems, this paper discusses the changing nature of trust, i.e., calibration of trust and the possible interventions to calibrate trust on automated systems to an appropriate level.",
keywords = "Automated systems, Calibration of trust, Driver-automation interaction, Driver-in-the-loop",
author = "Siddartha Khastgir and Stewart Birrell and Gunwant Dhadyalla and Paul Jennings",
year = "2016",
month = jul,
day = "7",
doi = "10.1007/978-3-319-41682-3_45",
language = "English",
isbn = "978-3-319-41681-6",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer-Verlag London Ltd",
pages = "535--546",
booktitle = "Advances in Intelligent Systems and Computing",
address = "United Kingdom",
}