Journal Publications

Wilson, M. D., Ballard, T., Strickland, L., Boeing, A. A., Cham, B., Griffin, M. A., & Jorritsma, K. (2021). Understanding fatigue in a naval submarine: Applying biomathematical models and workload measurement in an intensive longitudinal design. Applied Ergonomics, 94, 103412. https://doi.org/10.1016/j.apergo.2021.103412 [PDF]

Strickland, L., Heathcote, A., Bowden, V., Boag, R., Wilson, M. D., Khan, S. & Loft, S. (2021). Inhibitory cognitive control allows automated advice to improve accuracy while minimizing misuse. Psychological Science. [PDF] [Repository]

Cham, B. S., Boeing, A. A., Wilson, M. D., Griffin, M. A., & Jorritsma, K. (2021). Endurance in Extreme Work Environments. Organizational Psychology Review. https://doi.org/10.1177/20413866211006441 [PDF]

Wilson, M. D., Strickland, L., & Ballard, T. (2020). FIPS: An R Package for Biomathematical Modelling of Human Fatigue Related Impairment. Journal of Open Source Software, 5(51), 2340, https://doi.org/10.21105/joss.02340 [PDF]

Wilson, M. D., Strickland, L., Farrell, S., Visser, T. A. W., & Loft, S. (2020). Prospective Memory Performance in Simulated Air Traffic Control: Robust to Interruptions but Impaired by Retention Interval. Human Factors, 62(8), 1249–1264. https://doi.org/10.1177/0018720819875888 [PDF] [Repository]

Wilson, M. D. (2019). Executing deferred tasks in dynamic multitasking environments. (Doctoral thesis, University of Western Australia, Australia). [PDF] [Repository]

Wilson, M. D., Boag, R. J., & Strickland, L. (2019). All models are wrong, some are useful, but are they reproducible? Computational Brain & Behavior [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. [PDF] [Repository]

Conference Proceedings

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]

Wilson, M., Ellison, T. M., & Fay, N. (2014). Semantic Crowding Triggers Systematically Structured Sign Systems. In Evolution of Language: Proceedings of the 10th International Conference (EVOLANG10) (pp. 555-556). https://doi.org/10.1142/9789814603638_0141

Refereed Conference Presentations

Ashby, L., Wilson, M.D. (2020). Application of sensor technologies in extreme workplace environments. Defence Human Sciences Symposium, 2020. Deakin University, Online

Michael David Wilson. (2020). Wearable Sensors in an Extreme Work Environment: Applying Computational Modelling for Evaluation. Society for Ambulatory Assessment Conference 2020. Melbourne, Australia: University of Melbourne. [PDF]

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 [PDF]

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]

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.

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]

Awards

2021 ★ New Researcher of the Year Award, Faculty of Business and Law, Curtin University.

2020 ★ Forrest Prospect Fellowship, Forrest Research Foundation

2020 ★ Award for Excellent PhD Thesis in Psychology, Australian Psychological Society

2020 ★ Curtinnovation Faculty Award, Curtin University

2020 ★ Curtinnovation People’s Choice Award, Curtin University

2020 ★ Perth 2020 Ignition Scholarship, Curtin Commercialisation Team, Curtin University.

2019 ★ Early Career Award, Society for Experimental Psychology and Cognitive Science, American Psychological Association.

2019 ★ Higher Degree by Research Achievement Award (Social Science Quantitative), University of Western Australia, Graduate School of Research.

2017 ★ PSA Conference Travel Award, University of Western Australia Postgraduate Students’ Association.

2015 ★ Student Choice Award in Teaching, University of Western Australia, Student Guild.

2014 ★ University of Western Australia Top-Up Scholarship, University of Western Australia, Graduate School of Research.

2014 ★ Australian Postgraduate Award Scholarship, Australian Commonwealth Government Department of Education.

Software

[Creator & Maintainer] — Wilson, M. D., Strickland, L., & Ballard, T. (2020). The Fatigue Impairment Prediction Suite. Version 0.1.0.

[CRAN Author] — bayestestR: Understand and Describe Bayesian Models and Posterior Distributions (2019). Version 0.3.0.

Workshops, Seminars, Panels and Teaching

2021 — An Introduction to Computational & Cognitive Modelling. FOWI Academy

2020 — Human Factors: Applying Cognitive Psychology Research to Safety-Critical Workplaces. CSTEP Program for Underrepresented Minority Students. State University of New York: Old Westbury. Invited Digital Colloquium. July 2020.

2020 — Learn to love wrangling your data: A pragmatic introduction to R. FOWI Academy

2020 — FIPS: The Fatigue Impairment Prediction Suite. FOWI March Digital Seminar.

2019 — Developing Open Science Practices, FOWI Workshop. July 2019. [Materials]

2019 — Career Pathways [in Data Science] Panel. Perth ResBaz, 2019.

2019 — Early Career Research Panel. ‘OpenLab’ at UWA. June, 2019.

2018 — Writing Reproducible Research Papers with R. UWA. [Repository]

2018 — Software Carpentry Instructor: Python Stream. Perth ResBaz, 2018.

2018 — Writing a Completely Reproducible Paper with Rmarkdown. Perth ResBaz ‘18.

2017 — Surviving a PhD: Welcome & Orientation Workshop. UWA.

2017 — Getting Started with Programming: Python for Psychologists. UWA. [Repository]

2017 — Writing a Reproducible Paper. Perth Research Bazaar, 2017.

2016 — Automating Data Processing with Python. School of Psychology, UWA. [Repository]

Technical Reports

Wilson, M.D, Strickland, L., Cham, B., Boeing, A., & Jorritsma, K. (April 2021). Performance Modelling Final Report. Future of Work Institute, Curtin University, Perth, Australia. Report prepared for Defence Science and Technology Group (MyIP:9079).

Wilson, M.D, Strickland, L., Boeing, A., & Jorritsma, K. (October, 2020). Optimising Crew Endurance and Performance: Improving Biomathematical Models. Future of Work Institute, Curtin University, Perth, Australia. Report prepared for Defence Science and Technology Group (MyIP:9079).

Wilson, M. D., Griffin, M., Boeing, A., Ashby, L., Tay, J., Carr, M., Long, D., Ducker, K. (2020). Examining the role of Wearable Technologies in Future Ready Systems: Predicting Fatigue and Workload. Future of Work Institute, Curtin University, Perth, Australia. Final report for Research Network for Undersea Decision Superiority project.

Boeing, A., Hosszu, K., Cham, B., Wilson, M. D., & Jorritsma, K. (March, 2020). Advancing an On-Call Surge 3-Watch Crewing Approach for the Future Submarine: A Collins Class Submarine Sea Trial. Future of Work Institute, Curtin University. Report prepared for Defence Science and Technology Group (MyIP:9079).

Wilson, M. D., & Huf, S. (December, 2019). Evaluation of 6/6/6/6 and Proposed Three Watch Surge with Biomathematical Modelling. Future of Work Institute, Curtin University. Report prepared for Defence Science and Technology Group (MyIP:9079).

Wilson, M. D., Boeing, A., & Jorritsma, K. (Nov, 2019). FIPS: An Introduction and a Comparison to Industry Alternatives (MyIP:9079).

Jorritsma, K., Boeing, A., Hosszu, K., Cham, B., & Wilson, M. D. (December, 2019). Future Submarine Work Systems Design Review. Future of Work Institute, Curtin University. Report prepared for Defence Science and Technology Group (MyIP:9079).

Boeing, A., Ballard, T., Cham, B., Griffin, M., Hosszu, K., Jorritsma, K., & Wilson, M. D. (2019). Crew Endurance for the Future Submarine: Consolidated Findings from the Program of Works. Future of Work Institute, Curtin University. Final report prepared for Defence Science and Technology Group (MyIP: 6963, 6531, 6310, 6398, 834).

Wilson, M. D., Ballard, T., Boeing, A., Cham, B., Griffin, M., & Jorritsma, K. (2019). Simulating undersea watch schedules with a bio-mathematical model incorporating sleep debt. Future of Work Institute, Curtin University. Final report prepared for Defence Science and Technology Group (MyIP:8341).

Boeing, A., Cham, B., Wilson, M. D., Ballard, T., Griffin, M., & Jorritsma, K. (2019). Crew Endurance for the Future Submarine: Sea Trial Findings from Low, Normal and High Operational Tempo Missions. Future of Work Institute, Curtin University. Final report prepared for Defence Science and Technology Group (MyIP:8341).

Boeing, A., Cham, B., Wilson, M. D., & Jorritsma, K. (2019). A Three-watch Crewing Concept for the Future Submarine: Advancing the concept. Future of Work Institute, Curtin University. Report prepared for Defence Science and Technology Group (MyIP:8341).

Wilson, M. D., Ballard, T., Griffin, M., Boeing, A., Cham, B., & Jorritsma, K. (2018). Crew Endurance Modelling: Developing a Methodology for Predicting Fatigue in an Operational Undersea Mission. Future of Work Institute, Curtin University.Report prepared for Defence Science and Technology Group (MyIP:8341).