Na Du

Na Du is a PhD candidate in Industrial and Operations Engineering at the University of Michigan. She works in the Interaction and Interaction & Collaboration Research Lab under the guidance of Dr. X. Jessie Yang. Her current research interest includes human factors in automated vehicles, trust-driven human-automation interaction, and computational modeling of human behaviors. She is working on predicting driver takeover performance and designing an adaptive in-vehicle alert system in conditionally automated driving.

Awards: ^top

Rackham Predoctoral Fellowship Award, University of Michigan

Publications: ^top

Du, N., Zhou, F., Pulver, E., Tilbury, D. M., Robert Jr, L. P., Pradhan, A. K., & Yang, X. J. (2020). Examining the effects of emotional valence and arousal on takeover performance in conditionally automated driving. Transportation Research Part C: Emerging Technologies. 112, 78-87.
Du, N., Huang, K. Y., & Yang, X. J. (2019). Not All Information Is Equal: Effects of disclosing different types of likelihood information on trust, compliance and reliance, and task performance in human-automation teaming. Human Factors. https://doi.org/10.1177/0018720819862916
Du, N., Haspiel, J., Zhang, Q., Tilbury, D., Pradhan, A. K., Yang, X. J., & Robert Jr, L. P. (2019). Look who’s talking now: Implications of AV’s explanations on driver’s trust, AV preference, anxiety, and mental workload. Transportation Research Part C: Emerging Technologies, 104, 428-442.