Associate Professor

Contact InformationShi Cao

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


Biography Summary

Shi Cao is pronounced like SHER TSAO. Dr. Cao’s major research area is human factors engineering. His research projects include human performance and workload modeling, human-machine system reliability, 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 modeling methods and engineering tools have been adopted by researchers from universities and research institutes worldwide.

Google Scholar



Research Interests

  • Human factors and cognitive ergonomics
  • Human performance and mental workload modeling
  • Human-computer interaction
  • Interface evaluation and design
  • Augmented and virtual 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 102 - Seminar
    • Taught in 2015
  • MTE 140 - Algorithms and Data Structures
    • Taught in 2016
  • SYDE 740 - Selected Topics in Human Systems
    • Taught in 2015, 2016, 2019
  • SYDE 182 - Physics 2 (Dynamics)
    • Taught in 2015, 2016, 2017, 2018, 2019
  • SYDE 543 - Cognitive Ergonomics
    • Taught in 2015, 2016, 2018, 2019
  • SYDE 644 - Human Factors Testing
    • Taught in 2017, 2018, 2019
* Only courses taught in the past 5 years are displayed.

Selected/Recent Publications

  • Cao, S., Chan, K., & Elkamel, A. (2019)., A controlled experiment investigating the effects of explanatory manual on adherence to operating procedures, Safety
  • Deng, C., Cao, S., Wu, C., & Lyu, N., Modeling driver take-over reaction time and emergency response time using an integrated cognitive architecture, Transportation Research Record
  • 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, 34(6), 544-556. (Submitted in 2018)
  • Guo, Z., Pan, Y., Zhao, G., Cao, S., Zhang, J. (2018). Detection of driver vigilance level using EEG signals and driving contexts. IEEE Transactions on Reliability, 67(1), 370-380. (Submitted in 2018)
  • Deng, C., Wu, C., Cao, S., & Lyu, N. (accepted). Modeling the effect of limited sight distance through fog on car-following performance using QN-ACTR cognitive architecture. Transportation Research Part F: Traffic Psychology and Behaviour. (Submitted in 2017)
  • 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, 47(1), 140-151. (Submitted in 2017)
  • Cao, S., Zhang, Y., Guo, Y., & Chen, S. (2017). Human performance time model of spacecraft control panel operation in simulated microgravity. Aerospace Medicine and Human Performance, 88(8), 743-751. (Submitted in 2017)
  • Rehman, U., Cao, S., & MacGregor, C., 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,
  • Eisapour, M., Cao, S., & Boger, J., 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,