Title
Towards a real-time driver workload estimator: An on-the-road study
Author
van Leeuwen, P.M. (TU Delft Biomechatronics & Human-Machine Control)
Landman, Renske (Ergos Human Factors Engineering)
Buning, Lejo (HAN University of Applied Sciences)
Heffelaar, Tobias (Noldus Information Technology)
Hogema, Jeroen (TNO)
van Hemert, J.M. (TomTom BV)
de Winter, J.C.F. (TU Delft OLD Intelligent Vehicles & Cognitive Robotics)
Happee, R. (TU Delft OLD Intelligent Vehicles & Cognitive Robotics)
Contributor
Stanton, Neville A. (editor)
Landry, Steven (editor)
Di Bucchianico, Giuseppe (editor)
Vallicelli, Andrea (editor)
Date
2016
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
Adaptive in-vehicle information (systems)
Driver distraction
Driver workload estimation
To reference this document use:
http://resolver.tudelft.nl/uuid:98b509d4-da5e-45b2-8afe-7668ac624152
DOI
https://doi.org/10.1007/978-3-319-41682-3_94
Publisher
Springer, Cham, Switzerland
Embargo date
2016-12-07
ISBN
978-3-319-41681-6
Source
Advances in Human Aspects of Transportation: Proceedings of the AHFE 2016 International Conference on Human Factors in Transportation, 484
Event
7 th International Conference on Human Factors in Transportation, 2016-07-27 → 2016-07-31, Orlando, United States
Series
Advances in Intelligent Systems and Computing, 21945357, 484
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Part of collection
Institutional Repository
Document type
conference paper
Rights
© 2016 P.M. van Leeuwen, Renske Landman, Lejo Buning, Tobias Heffelaar, Jeroen Hogema, J.M. van Hemert, J.C.F. de Winter, R. Happee