@article{ref1,
title="VEHand: an in-vehicle information system to improve driving performance in an unfamiliar traffic regulation",
journal="International journal of human factors and ergonomics",
year="2019",
author="Alyamani, Hasan J. and Kavakli, Manolya and Smith, Stephen",
volume="6",
number="4",
pages="355-355",
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.   Keywords: cognitive flexibility; driving performance; in-vehicle information system; IVIS; degree of handedness; driving simulator; unfamiliar traffic regulation; UFTR; roundabout; intersections.<p /> <p>Language: en</p>",
language="en",
issn="2045-7804",
doi="10.1504/IJHFE.2019.105361",
url="http://dx.doi.org/10.1504/IJHFE.2019.105361"
}