Peer Reviewed Articles
Wilson, M. D., Strickland, L., Farrell, S., Visser, T. A. W., & Loft, S. (2019). Prospective Memory Performance in Simulated Air Traffic Control: Robust to Interruptions but Impaired by Retention Interval. Human Factors. https://doi.org/10.1177/0018720819875888. [PDF]
Wilson, M. D., Boag, R. J., & Strickland, L. (2019). All models are wrong, some are useful, but are they reproducible? Commentary on Lee et al. (2019). Computational Brain & Behavior, 1-3. [PDF]
Strickland, L., Elliott, D., Wilson, M. D., Loft, S., Neal, A., & Heathcote, A. (2019). Prospective memory in the red zone: Cognitive control and capacity sharing in a complex, multi-stimulus task. Journal of experimental psychology. Applied. [PDF]
Bowden, V. K., Loft, S., Wilson, M. D., Howard, J., & Visser, T. A. (2019). The long road home from distraction: investigating the time-course of distraction recovery in driving. Accident Analysis & Prevention, 124, 23-32. [PDF]
Wilson, M. D., Farrell, S., Visser, T. A. W., & Loft, S. (2018). Remembering to execute deferred tasks in simulated air traffic control: The impact of interruptions. Journal of Experimental Psychology: Applied, 24(3), 360-379. http://dx.doi.org/10.1037/xap0000171. [Repository] [PDF]
Talks and Conference Proceedings
Michael David Wilson, Timothy Ballard, & Karina Jorritsma. (2019). Developing the ‘Fatigue Impairment Prediction Suite’: A Computational Implementation and Application in a Naval Context. Defence Human Sciences Symposium, 2019. Canberra, Australia.
Michael David Wilson. (2019). Prospective Memory in Simulated Air Traffic Control: The Impact of Interruptions and Delays. APA Convention Chicago, 2019. Presented as part of Cutting Edge Contributions to Experimental and Cognitive Psychology. Chicago, USA. [PDF]
Michael David Wilson, Simon Farrell, Troy A. W. Visser, & Shayne Loft. (2018). The Effects of Interruptions and Retention Interval on Prospective Memory in Simulated Air Traffic Control. 5th International Conference of Prospective Memory (ICPM5). Melbourne, Australia: Australian Catholic University. [PDF]
Luke Strickland, David Elliott, Michael David Wilson, Shayne Loft, & Andrew Heathcote. (2018). Modelling Prospective Memory in Simulated Maritime Surveillance: Cognitive Control and Competition for Capacity. Australian Mathematical Psychology Conference 2018. Perth, Australia: University of Western Australia. Also presented at The Australasian Experimental Psychology Conference 2018. [PDF]
Wilson, M. D., Farrell, S., Visser, T. A., & Loft, S. (2016, September). On the Nature of Interruptions in Complex Dynamic Tasks. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 60, No. 1, pp. 246-247). Sage CA: Los Angeles, CA: SAGE Publications. [PDF]
Awards and Committees
2019 — Higher Degree by Research Achievement Award (Social Science Quantitative) from the University of Western Australia Graduate School of Research
2018 — American Psychological Assoication (APA) Early Career Award (Division 3)
2017 — UWA Psychology Research Committee (Postgraduate Representative)
2016 — UWA Psychology Research Committee (Postgraduate Representative)
2015 — UWA Student Guild Teaching Awarding (Student’s Choice Award)
2014 — Australian Postgraduate Award (APA) Scholarship
CRAN Author — bayestestR: Understand and Describe Bayesian Models and Posterior Distributions (2019). Version 0.3.0.
Workshops, Panels and Training
Wilson M. D. Developing Open Science Practices, Future of Work Institute Workshop, July, 2019.
Wilson M. D. Career Pathways [in Data Science] Panel. Perth Research Bazaar, July, 2019.
Wilson M. D. Health and Performance Implications of Future Work under Disrupted Schedules, Working Environments and Careers. BCEC & FOWI Future of Work Workshop. April 2019.
Wilson M. D. Getting Started with Programming: Python for Psychologists. UWA Training Workshop 2018. Repository
Wilson M. D. Writing a Completely Reproducible Paper with Rmarkdown. Perth Research Bazaar, 2018. Repository
Wilson M. D. Writing a Reproducible Paper Perth Research Bazaar, 2017.
Wilson M. D. Automating Data Processing with Python. UWA Training Workshop. 2016. Repository
Boeing A, Ballard T, Cham B, Griffin M, Hosszu K, Jorritsma K, Wilson MD. Crew Endurance for the Future Submarine: Consolidated Findings from the Program of Works (Associated with MyIP: 6963, 6531, 6310, 6398, 8341). 17 May 2019. Comissioned Technical Report: Curtin University.
Wilson MD, Ballard T, Boeing A, Cham B, Griffin M, Jorritsma K. Simulating undersea watch schedules with a bio-mathematical model incorporating sleep debt (Part of MyIP:8341). 16 Apr 2019. Comissioned Technical Report: Curtin University.
Boeing A, Cham B, Wilson MD, Ballard T, Griffin M, Jorritsma K. Crew Endurance for the Future Submarine: Sea Trial Findings from Low, Normal and High Operational Tempo Missions (Part of MyIP:8341). 01 Feb 2019. Comissioned Technical Report: Curtin University.
Boeing A, Cham B, Wilson MD, Jorritsma K. A Three-watch Crewing Concept for the Future Submarine: Advancing the concept (Part of MyIP:8341). 01 Jan 2019. Comissioned Technical Report: Curtin University.
Wilson MD, Ballard T, Griffin M, Boeing A, Cham B, & Jorritsma K. Crew Endurance Modelling: Developing a Methodology for Predicting Fatigue in an Operational Undersea Mission (Part of MyIP:8341). 03 Sep 2018. Comissioned Technical Report.