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Deutsches Institut für Urbanistik
Oldenbourg Wissenschaftsverlag
Walter de Gruyter
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Leon Urbas, Marcus Heinath, Sandro Leuchter

Model Based Assessment of Driver Distraction by In-Vehicle Information Systems in Early Phases of System Development

Keywords: GOMS, Multi-Tasking, Infotainment, Ablenkung, KFZ

The developments in vehicle electronics and new services are supposed to promise more convenience in driving. The offers and ideas range from vehicle-related installations, such as accident alert, petrol station assistance, dynamic navigation and travel guide, to communication and entertainment services. There is one central design problem that is essential for achieving the main objective “safe motor vehicle driving”, i.e. the use of the new service must not unduly distract the driver. This article discusses several regulative and empirical approaches in evaluating the distraction potential of new additional systems and presents a newly developed procedure that allows calculating the interference between driving and additional tasks in the early phases of system design. The driving tasks are described as a set of ideal-typical resource profiles. The secondary task is modelled based on the approved task analysis method GOMS (Goals, Operatos, Methods, and Selection Rules: Card, Moran and Newell 1983) with some new extensions for multitasking. The driver distraction assessment method is illustrated by means of an example and first results are reported for the application and empirical foundation of the method.

i-com, Oldenbourg Wissenschaftsverlag

Print ISSN: 1618-162X
Volume: 06, 02/2007
Pages: 021 - 029

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