Publications and knowledge transfer

The complete list of publications is available on Google Scholar.

Selected publications

  • Rehman, U., Cao, S., & MacGregor, C. G. (2024). Modelling level 1 situation awareness in driving: A cognitive architecture approach. Transportation Research Part C: Emerging Technologies, 165, 104737.

  • Rehman, U., Cao, S., & Macgregor, C. G. (2024). Modeling Brake Perception Response Time in On-Road and Roadside Hazards Using an Integrated Cognitive Architecture. IEEE Transactions on Human-Machine Systems.

  • Xu, R., Cao, S., Kearns, S., Niechwiej-Szwedo, E., & Irving, E. (2024). Computational cognitive modeling of pilot performance in pre-flight and take-off procedures. Journal of Aviation/Aerospace Education and Research.

  • Bai, J., Sun, X., Cao, S., Wang, Q., & Wu, J. (2024). Exploring the timing of disengagement from nondriving related tasks in scheduled takeovers with pre-alerts: an analysis of takeover-related measures. Human factors, 00187208231226052.

  • Ayala, N., Zafar, A., Kearns, S., Irving, E., Cao, S., & Niechwiej-Szwedo, E. (2023). The effects of task difficulty on gaze behaviour during landing with visual flight rules in low-time pilots. Journal of Eye Movement Research, 16(1).

  • Cao, S., Nandakumar, K., Babu, R., & Thompson, B. (2020). Game play in virtual reality driving simulation involving head-mounted display and comparison to desktop display. Virtual Reality, 24(3), 503-513.

  • Rehman, U., & Cao, S. (2019). Comparative evaluation of augmented reality-based assistance for procedural tasks: A simulated control room study. Behaviour and Information Technology, 39(11), 1225-1245.
  • 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, 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, 34(6), 544-556.
  • 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.
  • 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.
  • Cao, S., & Liu, Y. (2015). Modelling workload in cognitive and concurrent tasks with time stress using an integrated cognitive architecture. International Journal of Human Factors Modelling and Simulation, 5(2), 113-135.
  • 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, 72, 287–295.
  • Cao, S., & Liu, Y. (2013). Concurrent processing of vehicle lane keeping and speech comprehension tasks. Accident Analysis and Prevention, 59, 46-54.
  • 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.

PhD theses (Selected)

  • Bader Sabtan (2022). Human Factors in Esports: Investigating Performance Measures, Coaching Practices, and Stress Training in League of Legends.
  • Umair Rehman (2020). Modelling Level 1 Situation Awareness in Driving: A Cognitive Architecture Approach. 

Master of Applied Science (MASc) theses (Selected)

  • Naomi Paul (2023). An Experimental Comparison of the Effectiveness of Various Levels of Simulator Fidelity on Ab Initio Pilot Training. (First MASc graduated from the Collaborative Aeronautics Program)
  • Azwad Abid (2023). Designing and Testing of Pilot Control Interfaces for Vertical Take-off and Landing (VTOL) Aircraft.
  • Rongbing Xu (2022). Modeling Pilot Flight Performance on Pre-flight and Take-off Tasks with A Cognitive Architecture.
  • Apurva Misra (2020). Detection of Driver Cognitive Distraction Using Machine Learning Methods.
  • Mahzar Eisapour (2018). Design and Evaluation of Virtual Reality Exergames for People Living with Dementia.
  • Umair Rehman (2016). Augmented Reality for Indoor Navigation and Task Guidance.

Knowledge transfer

  • Queueing network-adaptive control of thought rational (QN-ACTR), an integrated cognitive architecture for the simulation and modelling of human performance, mental workload, and situation awareness. QN-ACTR can be used to simulate and predict human performance and other human factors constructs in a wide range of domains such as human-computer interaction, driving, and piloting. The method has been adopted as an important research tool by researchers worldwide. This open-source program is available on this GitHub website.
QN-ACTR
QN-ACTR Java
  • The Open Racing Car Simulator (TORCS) human experiment version, an open-source driving simulator adapted for human factors studies. It supports human driving studies with integrated car-following tasks and lane changing task. It also supports QN-ACTR simulation of driver performance, using user datagram protocol (UDP) data connection to link the driving simulator and the human model. It has been used as an education and research tool by teachers and researchers from many universities. Please contact us to request a copy.