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

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

Leeuwen, Peter / Landman, Renske / Buning, Lejo / Heffelaar, Tobias / Hogema, Jeroen / Hemert, Jasper Michiel / Winter, Joost / Happee, Riender

Abstract

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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Dokumentinformationen

Titel :

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

Beteiligte:

Leeuwen, Peter (Autor:in) / Landman, Renske (Autor:in) / Buning, Lejo (Autor:in) / Heffelaar, Tobias (Autor:in) / Hogema, Jeroen (Autor:in) / Hemert, Jasper Michiel (Autor:in) / Winter, Joost (Autor:in) / Happee, Riender (Autor:in)

Erschienen in:

Advances in Human Aspects of Transportation ; 15 ; 1151-1164

Advances in Intelligent Systems and Computing ; 484 , 15

Erscheinungsdatum :

2016-07-07

Format / Umfang :

14 pages

ISBN :

978-3-319-41682-3 , 978-3-319-41681-6

ISSN :

2194-5357 , 2194-5365

DOI :