Shi Cao

Associate Professor
Shi Cao

Contact information

Phone: 519-888-4567 x36377
Location: EC4 2127


Biography summary

Shi Cao (pronounced like SHER TSAO) studies human factors engineering. His research projects include human performance and situation awareness modelling, new technologies in aviation training, and the applications of virtual and augmented reality. He has developed cognitive models and human performance simulation systems that can be used to model and predict human performance and other human factors constructs in various work domains such as transportation and human-computer interaction. These modelling methods and engineering tools have been adopted by researchers from universities and research institutes worldwide.

Google Scholar



Research interests

  • Human factors and cognitive ergonomics
  • Modelling human performance and situation awareness
  • Training technologies
  • Human-computer interaction
  • Interface evaluation and design
  • Virtual and augmented reality applications


  • 2013, Doctorate, Industrial and Operations Engineering, University of Michigan, Ann Arbor
  • 2007, Master's, Psychology (Human factors focus), Zhejiang University
  • 2005, Bachelor of Science (BSc), Psychology (Science class), Chu Kochen Honors College, Zhejiang University


  • SYDE 182 - Physics 2: Dynamics
    • Taught in 2019
  • SYDE 223 - Data Structures and Algorithms
    • Taught in 2020, 2021, 2022
  • SYDE 543 - Cognitive Ergonomics
    • Taught in 2019, 2021, 2022
  • SYDE 644 - Human Factors Testing
    • Taught in 2019, 2020, 2021, 2022
  • SYDE 740 - Selected Topics in Human Systems
    • Taught in 2022

* Only courses taught in the past 5 years are displayed.

Selected/recent publications

  • Sun, X., Cao, S., & Tang, P. (2021). Shaping driver-vehicle interaction in autonomous vehicles: How the new in-vehicle systems match the human needs. Applied Ergonomics [IF 2019: 3.145]. 90, 103238.
  • Deng, C., Cao, S., Wu, C., & Lyu, N. (2019). Modeling driver take-over reaction time and emergency response time using an integrated cognitive architecture. Transportation Research Record [IF 2019: 1.029], 2673(12), 380-390.
  • Cao, S., Ho, A., & He, J. (2018). Modeling and predicting mobile phone touchscreen transcription typing using an integrated cognitive architecture. International Journal of Human-Computer Interaction [IF 2019: 2.902], 34(6), 544-556.
  • Rehman, U., & Cao, S. (2017). Augmented reality-based indoor navigation: A comparative analysis of handheld devices vs. Google Glass. IEEE Transactions on Human-Machine Systems [IF 2019: 5.247], 47(1), 140-151.
  • He, J., Chaparro, A., Nguyen, B., Burge, R., Crandall, J., Chaparro, B., Ni, R., & Cao, S. (2014). Texting while driving: Is speech-based text entry less risky than handheld text entry? Accident Analysis and Prevention [IF 2019: 3.655], 72, 287–295.
  • Cao, S., & Liu, Y. (2013). Queueing network-adaptive control of thought rational (QN-ACTR): An integrated cognitive architecture for modelling complex cognitive and multi-task performance. International Journal of Human Factors Modelling and Simulation, 4(1), 63-86.
  • Hayden, E., Wang, K., Wu, C., & Cao, S. (2020). Augmented reality procedure assistance system for flight simulator training. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 64.
  • Rehman, U., Cao, S., & MacGregor, C. (2019). Using an integrated cognitive architecture to model the effect of environmental complexity on drivers’ situation awareness. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 63. 812-816.
  • Eisapour, M., Cao, S., & Boger, J. (2018). Game design for users with constraint: Exergame for older adults with cognitive impairment. The 31st Annual ACM Symposium on User Interface Software and Technology Adjunct Proceedings, 128-130.

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