My research interests lie within the field of Human Factors. My PhD investigated elements of automation interface design, individual user differences, and user training protocols that shape human-automation interaction, using techniques including mathematical modelling and hierarchical Bayesian parameter estimation. Currently, I am employed as a Research Associate within the Brain and Cognition Laboratory at Flinders University, where my research focuses on aspects of spatial attention and cognition, visual assymetries, and handedness.
Bartlett, M. L., & McCarley, J. S. (2019). No effect of cue format on automation dependence in an aided signal detection task. Human Factors, 61, 169-190. doi: https://doi.org/10.1177/0018720818802961
Bartlett, M. L., & McCarley, J. S. (2018). No tendency for human operators to agree with automation whose response bias matches their own. International Journal of Human Factors and Ergonomics, 5, 111-128. doi: https://doi.org/10.1504/IJHFE.2018.092227
Bartlett, M. L., & McCarley, J. S. (2017). Benchmarking aided decision making in a signal detection task. Human Factors, 59, 881-900. doi: http://dx.doi.org/10.1177/0018720817700258
Fletcher, K. I., Bartlett, M. L., Cockshell, S. J., & McCarley, J. S. (2017). Visualizing probability of detection to aid sonar operator performance. In Proceedings of the Human Factors and Ergonomics Society 61st Annual Meeting (pp.302-306). Santa Monica, CA: Human Factors and Ergonomics Society
Scown, H., Bartlett, M., & McCarley, J. S. (2014). Statistically lay decision makers ignore error bars in two-point comparisons. In Proceedings of the Human Factors and Ergonomics Society 58th Annual Meeting (pp.1746-1750). Santa Monica, CA: Human Factors and Ergonomics Society