Using adaptive interfaces to encourage smart driving and their effect on driver workload

Stewart Birrell, Mark Young, Neville Stanton, Paul Jennings

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

13 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationAdvances in Human Aspects of Transportation - Proceedings of the AHFE 2016 International Conference on Human Factors in Transportation
EditorsGiuseppe di Bucchianico, Andrea Vallicelli, Steven Landry, Neville A. Stanton
PublisherSpringer-Verlag London Ltd
Number of pages13
ISBN (Print)9783319416816
Publication statusPublished - 1 Jan 2017
Externally publishedYes
EventInternational Conference on Human Factors in Transportation, AHFE 2016 - Walt Disney World, United States
Duration: 27 Jul 201631 Jul 2016

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


ConferenceInternational Conference on Human Factors in Transportation, AHFE 2016
Country/TerritoryUnited States
CityWalt Disney World


  • Adaptive interfaces
  • Green driving
  • In-vehicle information systems (IVIS)
  • Mental workload

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)


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