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Na Du

home_outline/People/Doctoral Students/Na Du

PhD Student

Contact

nadu@umich.edu

Location

G865 IOE

Primary Website

https://sites.google.com/a/umich.edu/nadu/

  • Education
  • Research Interests
  • Biography
  • Awards
  • Publications

Education

  • BS in Psychology from Zhejiang University, China

Research Interests

  • Human factors and ergonomics
  • Trust driven human-automation interaction
  • Human factors in automated vehicles
  • Computational modeling of human behaviors
  • Physiological signals

Advisor: Prof. Xi (Jessie) Yang
Availability: 2021
Position sought: Academia

Professional Service

  • President of HFES U-M student chapter

Biography

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

  • Rackham Predoctoral Fellowship Award, University of Michigan

Publications

  • 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.


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