Extending the Keystroke Level Model (KLM) to assess the visual demand of in-vehicle information systems (IVIS).

Author(s)
Pettit, M. Burnett, G. & Stevens, A.
Year
Abstract

In the automotive industry, applications of computing technology are potentially beneficial across many levels of the driving task. However, there is a concern that such systems may be a source of driver distraction. A number of techniques for assessing the distraction potential of new systems have been investigated. Among these are the occlusion technique and the keystroke level model. This paper discusses an attempt to integrate the two methods as a means of realising the benefits of both approaches. As such, the new method could be implemented in the earlier stages of system development, allowing more substantial adjustments to be made to designs where necessary. The results of the study showed there is promise in the technique, although further research is essential. For the covering abstract see E134653.

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Publication

Library number
C 41386 (In: C 40997 CD-ROM) /91 / ITRD E136106
Source

In: Proceedings of the 13th World Congress and Exhibition on Intelligent Transport Systems (ITS) and Services, London, United Kingdom, 8-12 October 2006, 9 p.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.