VEHand: an in-vehicle information system to improve driving performance in an unfamiliar traffic regulation
by Hasan J. Alyamani; Manolya Kavakli; Stephen Smith
International Journal of Human Factors and Ergonomics (IJHFE), Vol. 6, No. 4, 2019

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.

Online publication date: Tue, 25-Feb-2020

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