Adaptive Perspectives on Human-Technology Interaction

The methods, models, and measures presented in this book provide timely and important resources for addressing problems in the rapidly growing field of human-technology interaction. The book will be of interest to researchers, students, and practitioners in human factors, cognitive engineering, human-computer interaction, judgment and decision making, and cognitive science.

Alex Kirlik teaches Human Factors, Industrial Engineering, and Psychology at the University of Illinois at Urbana-Champaign, where he is also a member of the Beckman Institute for Advanced Science and Technology.