Overview

Applied Cognitive Performance Laboratory focuses on understanding the mechanisms of perceptual and cognitive processes that constrain human performance in applied domains. We employ a variety of basic and applied methods such as psychophysics, cognitive modeling, eye tracking, driving/virtual simulation and physiological measures.

Our current research interests:

  • Surface transportation safety
  • Driver training for vulnerable road users
  • Human-automation interaction
  • Human-machine trust
  • Modeling of human-automation team efficiency

Our current goals:

  • Advance science in Human Factors
  • Provide theory-driven recommendations for improving operator performance
  • Support a highly collaborative research environment sustaining active research