Evaluating Multimodal Driver Displays of Varying Urgency for Drivers on the Autistic Spectrum

Shim, L., Liu, P., Politis, I., Regener, P., Brewster, S. and Pollick, F. (2015) Evaluating Multimodal Driver Displays of Varying Urgency for Drivers on the Autistic Spectrum. In: 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Nottingham, UK, 1-3 Sept 2015, pp. 133-140. ISBN 9781450337366 (doi: 10.1145/2799250.2799261)

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Abstract

This paper examines the response of 10 typical and 10 autism spectrum participants in their reaction to a set of uni- and multisensory warning signals designed to indicate different levels of urgency. The warnings were composed of auditory, visual and tactile signals that were presented alone or in combination. Two experiments were conducted, a first that examined perceived urgency and annoyance with the warnings and a second that used a driving simulator scenario to explore recognition of the level of urgency and the speed of response. Results of Experiment 1 showed that there was no difference between groups in the perceived urgency of the warning signals, though the autism spectrum group reported less annoyance with the signals. Results of Experiment 2 showed that while both groups showed high accuracy in correctly reporting urgency level, the autism spectrum group performed better. Moreover, the fastest overall reaction times obtained were by the autism spectrum group when the warning included a visual component, with vision alone producing the quickest response. These results provide novel empirical insights on behaviour of drivers with autism when exposed to multimodal driver displays. They also highlight how consideration of characteristics of individual differences can contribute to the design of effective warning signals.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Regener, Dr Paula and Pollick, Professor Frank and Brewster, Professor Stephen
Authors: Shim, L., Liu, P., Politis, I., Regener, P., Brewster, S., and Pollick, F.
College/School:College of Science and Engineering > School of Computing Science
College of Science and Engineering > School of Psychology
ISBN:9781450337366
Copyright Holders:Copyright © 2015 ACM
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher.
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