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Evaluating the Visual Demand of In-Vehicle Information Systems: The Development of a New Method

Evaluating the Visual Demand of In-Vehicle Information Systems: The Development of a New Method

Ainojie Alexander Irune
Copyright: © 2011 |Volume: 3 |Issue: 1 |Pages: 21
ISSN: 1942-390X|EISSN: 1942-3918|EISBN13: 9781613508473|DOI: 10.4018/jmhci.2011010101
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MLA

Irune, Ainojie Alexander. "Evaluating the Visual Demand of In-Vehicle Information Systems: The Development of a New Method." IJMHCI vol.3, no.1 2011: pp.1-21. http://doi.org/10.4018/jmhci.2011010101

APA

Irune, A. A. (2011). Evaluating the Visual Demand of In-Vehicle Information Systems: The Development of a New Method. International Journal of Mobile Human Computer Interaction (IJMHCI), 3(1), 1-21. http://doi.org/10.4018/jmhci.2011010101

Chicago

Irune, Ainojie Alexander. "Evaluating the Visual Demand of In-Vehicle Information Systems: The Development of a New Method," International Journal of Mobile Human Computer Interaction (IJMHCI) 3, no.1: 1-21. http://doi.org/10.4018/jmhci.2011010101

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Abstract

In-vehicle information systems (IVIS) provide a variety of driver support and infotainment functionality; however, there is a growing concern that the resulting engagement with IVIS could present significant sources of distraction to drivers. This paper summarises the PhD thesis of Dr Ainojie Alexander Irune, which was awarded at the University of Nottingham in December 2009. The primary aims of the research were to develop a framework to aid the selection of an appropriate HF/HCI method, for use at particular stages in the design process, and to develop a novel method (with a focus on glance duration) for assessing the visual demand afforded by IVIS. Five empirical studies are reported in the thesis. In the first study, interviews were conducted with subject experts and the results were combined with the literature to provide guidance regarding the appropriate use of human factors methods. The remaining four studies present an iterative development of a novel method capable of predicting the visual demand imposed by an IVIS.

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