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About Me

Here is Zhijie Yi (易至捷).

I’m a third-year graduate student from Beijing Normal University. My research interests include human factors engineering, human-computer interaction, and computer-supported collaborative work. I am currently working as a research assistant at the HIS Lab of Hong Kong University of Science and Technology (Guangzhou), and I have previously interned at the Institute for AI Industry Research, Tsinghua University.

I have extensive experience in experimental design and strong data analysis skills. My expertise extends to mixed research methods of qualitative and quantitative research. Currently, I have a strong interest in the field of transportation and autonomous driving, and my research revolves around state monitoring and behavior modeling of drivers (or other traffic participants) through multimodal data. I am exploring how to predict driver status through data and models to design safer autonomous driving systems (feedback and takeover).

If you are interested in any aspect of me, I would love to chat and collaborate, please email me at - yzj@mail.bnu.edu.cn



Academic Background

[Highlight] I am looking for PhD to start in 2025 Fall.

  • Sep 2022 - June 2025: Beijing Normal University (Master of design)
  • Sep 2015 - June 2019: Hengyang Normal University (Bachelor of arts)



Research Interests

  • Driver state monitoring and behavior modeling
  • Interaction between vulnerable road users and autonomous electric vehicles
  • External human-machine interfaces for autonomous vehicles
  • Control tower operator interfaces for fleets of autonomous vehicles

My current research focuses on driving safety and trust in autonomous driving.
I am interested in three overarching questions, which may evolve incrementally or in parallel:

  • How to predict the fatigue state of drivers after a long time through physiological data?
  • How to use data and models to develop better autonomous driving systems to improve takeover capabilities?
  • How to improve the interpretability of autonomous driving systems to increase the trust of various traffic participants?