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Erschienen in:
Modelling Human Factors for Advanced Driving Assistance System Design Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Towards a Real-Time Driver Workload Estimator: An On-the-Road Study

verfasst von : Peter van Leeuwen, Renske Landman, Lejo Buning, Tobias Heffelaar, Jeroen Hogema, Jasper Michiel van Hemert, Joost de Winter, Riender Happee

Erschienen in: Advances in Human Aspects of Transportation

Verlag: Springer International Publishing

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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.

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Metadaten
Titel
Towards a Real-Time Driver Workload Estimator: An On-the-Road Study
verfasst von
Peter van Leeuwen
Renske Landman
Lejo Buning
Tobias Heffelaar
Jeroen Hogema
Jasper Michiel van Hemert
Joost de Winter
Riender Happee
Copyright-Jahr
2017
Buch
Advances in Human Aspects of Transportation

Print ISBN: 978-3-319-41681-6

Electronic ISBN: 978-3-319-41682-3

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-41682-3_94

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