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

Abstract

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
Volume6
Issue number4
DOIs
Publication statusPublished - 2019

Keywords

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

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