Morris_Automated driving activities-RSS2017.pdf (396.45 kB)
A longitudinal simulator study to explore drivers’ behaviour during highly-automated driving
conference contributionposted on 2017-08-25, 09:55 authored by David R. Large, Gary E. Burnett, Andrew MorrisAndrew Morris, Arun Muthumani, Rebecca Matthias
© Springer International Publishing AG 2018. Six experienced drivers each undertook five 30-min journeys (portrayed as ‘daily commutes’ i.e. one on each of five consecutive weekdays) in a medium-fidelity driving-simulator engineered to mimic a highly-automated vehicle. Participants were encouraged to act as they might in such a vehicle by bringing with them their own objects/devices to use. During periods of automation, participants were quickly engrossed by their chosen activities, many of which had strong visual, manual and cognitive elements, and required postural adaptation (e.g. moving/reclining the driver’s seat); the steering wheel was typically used to support objects/devices. Consistently high subjective ratings of trust suggest that drivers were unperturbed by the novelty of highly-automated driving and generally willing to allow the vehicle to assume control; ratings of situational awareness varied considerably indicating mixed opinions. Qualitative results are discussed in the context of the re-design of vehicles to enable safe and comfortable engagement with secondary activities during high-automation.
Published inApplied Human Factors and Ergonomics Advances in Intelligent Systems and Computing
Pages583 - 594
CitationLarge, D.R., 2017. A longitudinal simulator study to explore drivers’ behaviour during highly-automated driving. IN: Stanton, N.A. (ed.) Advances in Human Aspects of Transportation. Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation, New York: Springer, pp. 583-594.
- AM (Accepted Manuscript)
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
NotesThis paper was presented at the International Conference on Applied Human Factors and Ergonomics (AHFE 2017) in Los Angeles, California, July 17−21. This is a pre-copyedited version of a contribution published in Stanton, N.A. (ed.) Advances in Human Aspects of Transportation. Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation published by Springer. The definitive authenticated version is available online via http://dx.doi.org/10.1007/978-3-319-60441-1_57
Book seriesAdvances in Intelligent Systems and Computing;597