Vehand: An in-vehicle information system to improve driving performance in an unfamiliar traffic regulation

Hasan J. Alyamani*, Manolya Kavakli, Stephen Smith

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Driving under unfamiliar traffic regulations (UFTR) is associated with an increased number of traffic accidents. To drive safely in such conditions, drivers need to adapt their prior knowledge to a new driving situation. This ability is called cognitive flexibility (CF). CF is influenced by the degree of handedness of the performer. The goal of this research was to develop a driving-assistance system that adapts the information it provides based on the handedness degree of drivers under UFTR. Two empirical studies were conducted in a driving simulator. The results of the first study indicated that left/mixed-handed drivers made significantly fewer errors that could be attributed to CF impairment than did strong right-handed drivers. Accordingly, we developed a driving-assistance system (‘VEHand’), which provides drivers with useful feedback based on their handedness degree. The results of the second study indicated that VEHand significantly assisted strong-right handed drivers to correctly enter roundabouts and intersections.

Original languageEnglish
Pages (from-to)355-389
Number of pages35
JournalInternational Journal of Human Factors and Ergonomics
Issue number4
Publication statusPublished - 17 Feb 2020

Bibliographical note

Publisher Copyright:
Copyright © 2019 Inderscience Enterprises Ltd.


  • Cognitive flexibility
  • Degree of handedness
  • Driving performance
  • Driving simulator
  • In-vehicle information system
  • Intersections
  • IVIS
  • Roundabout
  • UFTR
  • Unfamiliar traffic regulation


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