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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http://resolver.tudelft.nl/uuid:98b509d4-da5e-45b2-8afe-7668ac624152
http://dx.doi.org/10.1007/978-3-319-41682-3_94 under the license http://www.springer.com/tdm
https://www.narcis.nl/publication/RecordID/oai%3Atudelft.nl%3Auuid%3A98b509d4-da5e-45b2-8afe-7668ac624152,
https://repository.tudelft.nl/view/tno/uuid:1d3d8117-3ec6-4a65-a108-e6e6820ce335,
https://academic.microsoft.com/#/detail/2503523062
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Document information

Published on 01/01/2017

Volume 2017, 2017
DOI: 10.1007/978-3-319-41682-3_94
Licence: Other

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