@inproceedings{59098f1ce3b64da5974d24fbfc42ba1e,
title = "Using adaptive interfaces to encourage smart driving and their effect on driver workload",
abstract = "In-vehicle information systems (IVIS) aimed at supporting green driving have increased in both number and complexity over the past decade. However, this added information available to the driver raises significant ergonomic concerns for mental workload, distraction and ultimately driving task performance. Adaptive interfaces offer a potential solution to this problem. The Smart driving system evaluated in this study (which provided in-vehicle, real-time feedback to the driver on both green driving and safety related parameters via a Smartphone application) offers a comparatively simple workload algorithm, while offering complexity in its levels of adaptively on the display, with the theoretical aim to limit driver visual interaction and workload with the system during complex driving environments. Experimental results presented in this paper have shown that using the Smart driving system modulates workload towards manageable levels, by allowing an increase in driver workload when under low task demands (motorway and inter-urban driving) but not increasing workload when it is already at moderate levels (urban driving). Thus suggesting that any increase in workload can be integrated within the driving task using the spare attentional resource the driver has available.",
keywords = "Adaptive interfaces, Green driving, In-vehicle information systems (IVIS), Mental workload",
author = "Stewart Birrell and Mark Young and Neville Stanton and Paul Jennings",
year = "2017",
month = jan,
day = "1",
doi = "10.1007/978-3-319-41682-3_3",
language = "English",
isbn = "9783319416816",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer-Verlag London Ltd",
pages = "31--43",
editor = "{di Bucchianico}, Giuseppe and Andrea Vallicelli and Steven Landry and Stanton, {Neville A.}",
booktitle = "Advances in Human Aspects of Transportation - Proceedings of the AHFE 2016 International Conference on Human Factors in Transportation",
address = "United Kingdom",
note = "International Conference on Human Factors in Transportation, AHFE 2016 ; Conference date: 27-07-2016 Through 31-07-2016",
}