Home Institution, City, State
University of Wisconsin-Madison, Madison, Wisconsin
Industrial and Systems Engineering
One major way to investigate distracted driving is to have drivers engage in a secondary task. Driving models are one way to better understand workload during driving which could result in safer driving. During this study, we create a driving model using cognitive task analysis software to analyze workload with N-Back tasks. N-Back task requires the driver to memorize and repeat numbers and letters. The result will help us determine if we can continue using this software in future research and analysis workload in a scenario with secondary tasks by comparing it to other analysis software in the framework of Highway Traffic Safety Administration distraction guidelines and human subject data. We will also gain knowledge about the skill required for driving and incorporate those into our model.
Driving model, Distracted driving, Workload analysis
Operations Research, Systems Engineering and Industrial Engineering
Kumm, Josalin, "Creating a Driving Workload Model and Identifying Best Practices" (2021). Psychology: Interdisciplinary Research in Behavioral Sciences of Transportation Issues [REU poster]. 2.
Download Poster (367 KB)