Presenter

I serve as a General Engineer in the Warfighter Applied Cognition and Technology Laboratory at the U.S. Naval Research Laboratory (NRL) in Washington, DC. My specific research is within the scope of cognitive engineering and decision making, as it investigates the potential of modeling psychophysiological metrics with performance measures under varying environmental conditions. Ultimately, my goal is to inform how to design control systems, for complex and dynamic domains, like military missions relying on intelligent automated systems (IASs). I am continuously investigating the ability eye tracking has to serve as a measure of operator state, which can be used to leverage and inform the real-time functionality of control and automated systems. The ultimate goal is to inform effective and sustainable countermeasures to human factors challenges such as workload history effects, ineffective human-automation interaction, and degraded situation awareness (SA). This also entails studying how eye tracking can capture the effect of individual differences in cognitive abilities, such as attention control, working memory capacity, and fluid intelligence as well as how visual attention and performance evolves over time. Understanding how all of these intersecting factors impact system performance requires deploying longitudinal and machine learning models.