@article{f67c20aa9d5543968b5e798370eab832,
title = "What contextual and demographic factors predict drivers{\textquoteright} decision to engage in secondary tasks?",
abstract = "This study used data from the Australian Naturalistic Driving Study to study driver engagement in secondary tasks during every day driving and examine the role that various driver characteristics and driving context variables play in influencing the initiation of secondary tasks. Video from 186 randomly selected trips were viewed to identify a range of secondary tasks and to classify contextual variables at the point of task initiation (e.g. vehicle motion, weather, and light conditions). Results revealed that secondary task engagement when driving is highly prevalent, with drivers spending ∼45% of their driving time engaging in potentially distracting tasks. The results also showed that drivers make a number of strategic decisions regarding when to engage, such as waiting until the vehicle is stationary; however, they do not appear to consider some contextual factors that may impact risks, such as weather and light conditions. The findings will be useful in targeting distraction countermeasures and policies and determining the effectiveness of these in reducing driver distraction.",
author = "Young, {Kristie L.} and Rachel Osborne and Sjaan Koppel and Charlton, {Judith L.} and Raphael Grzebieta and Ann Williamson and Narelle Haworth and Jeremy Woolley and Teresa Senserrick",
note = "Funding Information: The ANDS study was funded by the Australian Federal Government's Australian Research Council (ARC) under the infrastructure LIEF scheme (grant no. LE130100050) and research linkage scheme (grant no. LP130100270) that were awarded to the Transport and Road Safety (TARS) Research Centre at the University of New South Wales (UNSW) in partnership with Monash University Accident Research Centre (MUARC), the Centre for Accident Research and Road Safety – Queensland (CARRSQ) at Queensland University of Technology (QUT), the Centre for Automotive Safety Research (CASR) at the University of Adelaide, the Centre for Road Safety, Transport for NSW (TfNSW), NSW's State Insurance Regulatory Authority, Victoria's Transport Accident Commission, the Victorian State regulator VicRoads, South Australia's Motor Accidents Commission, the National Roads and Motorists Association (NRMA) in NSW, Seeing Machines, the Office of Road Safety, Government of Western Australia, and the Hyundai Motor Company. Supply of equipment and assistance with ANDS data was provided by The Virginia Tech Transportation Institute (VTTI) under the leadership of Prof. Jon Antin. The Authors acknowledge the contribution of Prof. Andry Rakotonirainy from CARRSQ to the project. The authors would like to thank Jan Eusibo and Rainer Zeller from Transport and Road Safety (TARS) Research Centre at the University of New South Wales (UNSW) for their role in managing and operationalising the Australian study and the Sydney site. The contribution of the support staff Jess Hancock from TARS UNSW at the Sydney site and Yik-Xiang Hue, Andrew Lyberopolous and Samantha Bailey from MUARC at the Melbourne site is also gratefully acknowledged. The valuable contribution from John Funding Information: Wall and Ben Barnes from the Centre for Road Safety TfNSW in operationalising the Sydney installation site and the assistance from Hee Loong Wong from Hyundai Motor Company in providing the ANDS service vehicles for both the Sydney and Melbourne sites is also gratefully acknowledged. We thank Dr Karen Stephan for her statistical advice. The authors would also like to thank the ANDS participants. Without their contribution to the study, this publication would not have been possible. Dr Kristie Young's contribution to this paper was funded by an ARC Discovery Early Career Researcher Award (DE160100372). Publisher Copyright: {\textcopyright} The Institution of Engineering and Technology 2019.",
year = "2019",
month = aug,
day = "1",
doi = "10.1049/iet-its.2018.5546",
language = "English",
volume = "13",
pages = "1218--1223",
journal = "IET Intelligent Transport Systems",
issn = "1751-956X",
publisher = "Institution of Engineering and Technology",
number = "8",
}