WAYNE D. GRAY earned his Ph.D. from UC Berkeley and since has worked for government and industry research labs, as well as universities. He is currently a Professor at Rensselaer Polytechnic Institute with appointments in Cognitive Science, Industrial & Systems Engineering, and Computer Science. Wayne is a Fellow of the Psychonomic Society, Cognitive Science Society, the Human Factors & Ergonomics Society (HFES), and the American Psychological Association (APA). In 2008, APA awarded him the Franklin V. Taylor Award for Outstanding Contributions in the Field of Applied Experimental & Engineering Psychology.
He is a past Chair of the Cognitive Science Society and the founding Chair of the Human Performance Modeling technical group of HFES. At present he is Executive Editor for the journal, Topics in Cognitive Science (topiCS). In 2012, he was elected a Visiting Research Professor (Forschungsaufenthalt in Deutschland) by the Alexander von Humboldt Foundation and spent his sabbatical at the Max Planck Institute Center for Adaptive Behavior and Cognition (ABC) in Berlin.
Dr. Gray's research follows a fascination with immediate, interactive behavior; with how human cognition, perception, and action adapt to the changing demands of dynamic environments for tasks in which even hesitating requires a decision to hesitate. His experimental paradigms have ranged from the simple (such as nBack or AX-CPT) to the more complex (such as Phone Company Operators interacting with customers or Submarine Commanders hunting their enemies in deep waters). Lately he has turned to computer games such as Tetris, Space Fortress, and League of Legends. For the first two, his lab studies the acquisition of expertise down to the point-of-gaze, in the laboratory. For Tetris, the lab also collects data from players during the annual Classic Tetris World Championships. For League of Legends our data sources are publicly accessible APIs. The newest task, JAG (Joint Action Game), focuses on human-human joint action. Results of our research have led us to appreciate the differences between skill asymptotes versus plateaus and to understand that dips in skilled performance may signal periods of method exploration and study and are sometimes followed by performance leaps! We consistently fail to find individual performance following the smooth curve of the power law.
Full CV: http://homepages.rpi.edu/~grayw/graycv/
ORCid (id and html): http://orcid.org/0000-0002-1704-7433
Professor & Graduate Program Director, Cognitive Science
Cognitive Science Department - School of HASS
Rensselear Polytechnic Institute
110 8th Street
Troy, NY 12180