Skip to main content

University of Michigan School of Information


Qiaoning Zhang

A headshot of Qiaoning Zhang


Email: [email protected]

Qiaoning Zhang is a Ph.D. candidate in the School of Information at the University of Michigan-Ann Arbor. Having earned her master degree in Industrial and Operations Engineering at the University of Michigan, she now works as a research fellow at the Michigan Autonomous Vehicle Research Intergroup Collaboration (MAVRIC). Professor Lionel P. Robert Jr. and Professor Jessie (Xi) Yang are her advisors. Qiaoning's research focuses on examining ways to promote appropriate and robust interactions between humans and automated vehicles (AV). To accomplish this, she explores various design interventions derived from social-technical theoretical frameworks. In her research, she focuses on the social context of human-AV interactions and explores the underlying structure and dynamics of these interactions to improve human-AV collaboration.

Personal website


Dissertation title

From the Head or the Heart? The Impact of Automated Vehicle Explanation on Cognitive and Affective Trust

Fields of interest

Human-Computer Interaction
Human-Centered Design
UX Research
Self-Driving Vehicles


Bachelor in Engineering, Hunan University, 2016
Master in Science, University of Michigan, 2018

Selected Publications

Journal Publications

1. Zhang, Q., Yang, X. J., & Robert Jr, L. P. (2022). Individual Differences and Expectations of Automated Vehicles. International Journal of Human–Computer Interaction, 38(9), 825-836.

2. Zhang, Q., Yang, X. J., & Robert Jr, L. P. (2021). Drivers' Age and Automated Vehicle Explanations. Sustainability (2071-1050), 13(4).

3. Zhang, Q., Yang, X. J., & Robert, L. P. (2021). What and when to explain? A survey of the impact of explanation on attitudes toward adopting automated vehicles. IEEE Access, 9, 159533-159540.

4. Robert Jr, L. P., Alahmad, R., Esterwood, C., Kim, S., You, S., & Zhang, Q. (2020). A review of personality in human–robot interactions. Foundations and Trends® in Information Systems, 4(2), 107-212.

5. 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.

Conference Proceedings

1. Zhang, Q., Lee, M. L., & Carter, S. (2022, April). You Complete Me: Human-AI Teams and Complementary Expertise. In CHI Conference on Human Factors in Computing Systems (pp. 1-28).

2. Zhang, Q., Yang, X. J., & Robert, L. P. (2020, April). Expectations and trust in automated vehicles. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-9).

3. Zhang, Q., Esterwood, C., Yang, J., Robert, L. (2019). An Automated Vehicle (AV) like Me? The Impact of Personality Similarities and Differences between Humans and AVs. AAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction, Arlington, Virginia USA, November 7-9, 2019.