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Investigating the feasibility of vehicle telemetry data as a means of predicting driver workload
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Taylor, Phillip M., Griffiths, Nathan, Bhalerao, Abhir, Xu, Zhou, Gelencser, Adam and Popham, Thomas (2017) Investigating the feasibility of vehicle telemetry data as a means of predicting driver workload. International Journal of Mobile Human-Computer Interaction, 9 (3). pp. 54-72. ISSN 1942-390X.
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Official URL: http://doi.org/10.4018/ijmhci.2017070104
Abstract
Driving is a safety critical task that requires a high level of attention and workload from the driver. Despite this, people often also perform secondary tasks such as eating or using a mobile phone, which increase workload levels and divert cognitive and physical attention from the primary task of driving. If a vehicle is aware that the driver is currently under high workload, the vehicle functionality can be changed in order to minimize any further demand. Traditionally, workload measurements have been performed using intrusive means such as physiological sensors. Another approach may be to use vehicle telemetry data as a performance measure for workload. In this paper, we present the Warwick-JLR Driver Monitoring Dataset (DMD) and analyse it to investigate the feasibility of using vehicle telemetry data for determining the driver workload. We perform a statistical analysis of subjective ratings, physiological data, and vehicle telemetry data collected during a track study. A data mining methodology is then presented to build predictive models using this data, for the driver workload monitoring problem.
Item Type: | Journal Article | ||||||
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Subjects: | T Technology > TL Motor vehicles. Aeronautics. Astronautics | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
Library of Congress Subject Headings (LCSH): | Automobiles -- Safety appliances, Automobiles -- Safety measures, Driver assistance systems , Electrocardiography , Traffic accidents -- Prevention | ||||||
Series Name: | International Journal of Mobile Human-Computer Interaction | ||||||
Journal or Publication Title: | International Journal of Mobile Human-Computer Interaction | ||||||
Publisher: | IGI Global | ||||||
ISBN: | 1942-3918 | ||||||
ISSN: | 1942-390X | ||||||
Editor: | Lumsden, Joanna | ||||||
Official Date: | April 2017 | ||||||
Dates: |
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Volume: | 9 | ||||||
Number: | 3 | ||||||
Number of Pages: | 19 | ||||||
Page Range: | pp. 54-72 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 4 July 2016 | ||||||
Date of first compliant Open Access: | 26 September 2016 | ||||||
Funder: | Engineering and Physical Sciences Research Council (EPSRC), Jaguar Land Rover (Firm) | ||||||
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