Psychology: Interdisciplinary Research in Behavioral Sciences of Transportation Issues

Home Institution, City, State

University of Wisconsin-Madison, Madison, Wisconsin


Industrial and Systems Engineering

Publication Date

Summer 2021


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, N-Back task, modeling, driving distraction, secondary tasks


Operations Research, Systems Engineering and Industrial Engineering



Download Poster (265 KB)

Download Executive summary ODU REU (Josalin Kumm).pdf (128 KB)

Creating a Driving Workload Model and Identifying Best Practices



To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.