Print Email Facebook Twitter Towards a real-time driver workload estimator: An on-the-road study Title Towards a real-time driver workload estimator: An on-the-road study Author van Leeuwen, P. Landman, R. Buning, L. Heffelaar, T. Hogema, J. van Hemert, J.M. de Winter, J. Happee, R. Contributor di Bucchianico, G. (editor) Vallicelli, A. (editor) Landry, S. (editor) Stanton, N.A. (editor) Publication year 2017 Abstract 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. Subject Human & Operational ModellingPCS - Perceptual and Cognitive SystemsELSS - Earth, Life and Social SciencesWork and EmploymentErgonomicsHealthy LivingAdaptive 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 To reference this document use: http://resolver.tudelft.nl/uuid:1d3d8117-3ec6-4a65-a108-e6e6820ce335 DOI https://doi.org/10.1007/978-3-319-41682-3_94 TNO identifier 573511 ISBN 9783319416816 ISSN 2194-5357 Source International Conference on Human Factors in Transportation, AHFE 2016. 27 July 2016 through 31 July 2016, 484, 1151-1164 Series Advances in Intelligent Systems and Computing Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.