Dr. Fei Yan

2018Dr. rer. nat in Human Factors with the dissertation title: "Developing a Model-Based Lane Change Decision Aid System by Integrating Driver Uncertainty"
Since 2018            Postdoctoral researcher at the Department Human Factors at Ulm University
2017                          Research Assistant in Human-Centered Design Group at OFFIS - Institute for Information Technology, Oldenburg
2015 – 2016             Research Assistant at the Department of Media and Multimedia Systems of the University of Oldenburg
2013 – 2014            Research Assistant in Human-Centered Design at OFFIS - Institute for Information Technology, Oldenburg
2013                         Internship in the Human-Machine Interaction Group at Light Laboratory, Hella, Lippstadt
2012- 2013              Student Assistant in the Department of System Ergonomics, Institute of System Ergonomics, DLR, Braunschweig
2010 – 2013             M.Sc. Human Factors at Technical University of Berlin, Germany
2005 – 2009          B.Sc. Psychology at University of Qingdao, China


Fei Yan,
Research Assistant

Fei Yan
☎ +49-(0)731/50 26504
℻  +49-(0)731/50 31749
Π 45.03.111

Consultation hours
Semester: Tue 3:00 - 4:00 PM
Semester break: on appointment

Research interests

  • Empirical investigation and modeling Driver Uncertainty in lane change maneuvers
  • Adaptive driver assistance
  • Trust in automation
  • Driver Automation Cooperation in Automated Driving


Publications in Google Scholar

Yan, F., Eilers, M., Weber, L., & Baumann, M. (2019, October). Investigating Initial Driver Intention on Overtaking on Rural Roads. In 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 4354-4359). IEEE.

Yan, F., Karaosmanoglu, S., Demir, A., & Baumann, M. (2019, September). Spatial visualization of sensor information for automated vehicles. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings (pp. 265-270).

Löcken, A., Yan, F., Heuten, W., & Boll, S. (2019). Investigating driver gaze behavior during lane changes using two visual cues: ambient light and focal icons. Journal on Multimodal User Interfaces, 13(2), 119-136.