Towards a real-time driver workload estimator: An on-the-road study
conference paper
Driver distraction is a leading cause of crashes. The introduction of in-vehicle technology in the last decades has added support to the driving task. However, in-vehicle technologies and handheld electronic devices may also be a threat to driver safety due to information overload and distraction. Adaptive in-vehicle information systems may be a solution to this problem. Adaptive systems could aid the driver in obtaining information from the device (by reducing information density) or prevent distraction by not presenting or delaying information when the driver’s workload is high. In this paper, we describe an on-the-road evaluation of a real-time driver workload estimator that makes use of geo-specific information. The results demonstrate the relative validity of our experimental methods and show the potential for using location-based adaptive in-vehicle systems.
Topics
Adaptive in-vehicle information (systems)Driver distractionDriver workload estimationAutomobile driversCrashworthinessHuman engineeringRoads and streetsAdaptive in-vehicle information (systems)Driver distractionsDriver workload estimationsExperimental methodsIn-vehicle information systemIn-vehicle technologyInformation overloadsSpecific informationVehicles
TNO Identifier
573511
ISSN
21945357
ISBN
9783319416816
Source title
International Conference on Human Factors in Transportation, AHFE 2016. 27 July 2016 through 31 July 2016
Editor(s)
di Bucchianico G.
Vallicelli A.
Landry S.
Stanton N.A.
Vallicelli A.
Landry S.
Stanton N.A.
Pages
1151-1164
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