Assistant Professor
Dr. Brady DeCouto’s research background concerns expert performance, with a particular emphasis on the cognitive mechanisms involved in skill acquisition and expert performance (e.g., attention, information processing, emotion). Given the acceleration of ubiquitous assistive technologies such as artificial intelligence, wearable sensors, and exoskeletons, Brady’s current research interests are focused on how the constraints and characteristics of human cognition, psychology, and motor control impact our compatibility with such technological tools, and how technological tools can best facilitate human learning (i.e., human-machine teaming).