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Using Adaptive Interfaces to Encourage Smart Driving and Their Effect on Driver Workload

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Advances in Human Aspects of Transportation

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 484))

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.

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Acknowledgments

The Smart driving system used in this study was developed as part of the Foot-LITE project which was sponsored by the Technology Strategy Board, Engineering and Physical Sciences Research Council and the UK Department for Transport. The TeleFOT project, for which these trials were conducted as part of by MIRA Ltd. in the UK, is an EU sponsored project under the Seventh Framework Programme. Additional support was offered by Innovate UK through the WMG centre High Value Manufacturing Catapult. Specific thanks go to Mark Fowkes and Nadia Shehata who assisted greatly with the study.

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Authors and Affiliations

  1. WMG, University of Warwick, Coventry, UK

    Stewart Birrell & Paul Jennings

  2. Human-Centred Design Institute, School of Engineering and Design, Brunel University, Uxbridge, UK

    Mark Young

  3. Engineering and the Environment, University of Southampton, Southampton, UK

    Neville Stanton

Authors
  1. Stewart Birrell
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  2. Mark Young
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  3. Neville Stanton
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  4. Paul Jennings
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Corresponding author

Correspondence to Stewart Birrell .

Editor information

Editors and Affiliations

  1. Faculty of Engineering and the Environme, University of Southampton Faculty of Engineering and the Environme, Southampton, United Kingdom

    Neville A. Stanton

  2. Purdue University , West Lafayette, IN, USA

    Steven Landry

  3. Dipartimento di Architettura, Università degli Studi “G.d’Annunzio” Chiet, Pescara, Italy

    Giuseppe Di Bucchianico

  4. Dipartimento di Architettura, Università degli Studi “G.d’Annunzio” Chiet, Pescara, Italy

    Andrea Vallicelli

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Birrell, S., Young, M., Stanton, N., Jennings, P. (2017). Using Adaptive Interfaces to Encourage Smart Driving and Their Effect on Driver Workload. In: Stanton, N., Landry, S., Di Bucchianico, G., Vallicelli, A. (eds) Advances in Human Aspects of Transportation. Advances in Intelligent Systems and Computing, vol 484. Springer, Cham. https://doi.org/10.1007/978-3-319-41682-3_3

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  • DOI: https://doi.org/10.1007/978-3-319-41682-3_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41681-6

  • Online ISBN: 978-3-319-41682-3

  • eBook Packages: EngineeringEngineering (R0)

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