Driver Distraction and Advanced Vehicle Assistive Systems (ADAS): Investigating Effects on Driver Behavior

• Published in: Advances in Human Aspects of Transportation Vol. 484; pp. 1015 - 1022
• Main Authors: Cades, David M., Crump, Caroline, Lester, Benjamin D., Young, Douglas
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2016; Springer International Publishing
• Series: Advances in Intelligent Systems and Computing
• Subjects: ADAS; Artificial intelligence; Cognition & cognitive psychology; Distraction; Human factors; LDW; Power generation & distribution
• ISBN: 9783319416816; 3319416812
• ISSN: 2194-5357; 2194-5365
• DOI: 10.1007/978-3-319-41682-3_83

The component technologies of Advanced Driver Assistive Systems (ADAS) are becoming increasingly automated, with systems capable of operating in concert in multiple driving environments. However, how these systems affect a driver’s ability to safely, efficiently, and comfortably operate a vehicle remains unclear. We investigated the effects of ADAS [specifically Lane Departure Warning (LDW)] on driving performance while participants performed a secondary task (mental math) designed to simulate cognitive effort while driving. The experiment was conducted on a closed-course test track in an instrumented vehicle. Results suggest that cognitive engagement influenced driver control of the vehicle. Effects of cognitive engagement in a secondary task were not mitigated by the presence of LDW. We discuss our results in the framework of a continued need for active input and control from the human operator in vehicles with assistive technologies.