NDLI: What contextual and demographic factors predict drivers’ decision to engage in secondary tasks?

Content Provider	IET Digital Library
Author	Young, Kristie L. Osborne, Rachel Koppel, Sjaan Charlton, Judith L. Grzebieta, Raphael Williamson, Ann Haworth, Narelle Woolley, Jeremy Senserrick, Teresa
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.
Starting Page	1218
Ending Page	1223
Page Count	6
ISSN	1751956X
Volume Number	13
e-ISSN	17519578
Issue Number	Issue 8, Aug (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/13/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2018.5546
Journal	IET Intelligent Transport Systems
Publisher Date	2019-03-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Australian Naturalistic Driving Study Computer Vision And Image Processing Technique Contextual Factors Day Driving Demographic Factors Driver Characteristic Driver Distraction Driver Engagement Driving Context Variables Driving Time Image Classification Image Recognition Potentially Distracting Task Road Safety Secondary Task Secondary Task Engagement Task Initiation Traffic Engineering Computing Video Signal Processing
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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