Problem Representation and Team Mental Model Development in Individual and Team Problem Solving Performance

ACKNOWLEDGEMENTS Thanks to all the students, faculty, and staff of the Department of Psychology at Carnegie Mellon University for their help, support, and fellowship during a stay that was both too short and too long. Thanks also to the Program for providing financial support for this work and my career at the University. Special thanks to committee members Dick Hayes and John Anderson, who have provided numerous insights and encouragements that have benefited this work, as well as guidance at other moments that has helped me to improve as both a scholar and a scientist. Special thanks also to the members of the Integrated Design Innovation Group and the Group Problem Solving Lab for their suggestions, opinions, and assistance on this and other projects, in addition, special thanks to friends and family who have, at numerous times, provided encouragement, support, and much-needed diversion. Very special thanks to Blair Armstrong, Kate Fu, and Alex Tkachuk for teaching me about natural language processing, and for helping me to understand how these tools can open a window to the mind in some pretty astonishing ways. Very special thanks to my wife, Malissa, for providing loving support and perspective, and helping me to take the long view in life when the short view in career was overwhelming. Lastly, of course, very special thanks to Ken Kotovsky and Jon Cagan, who without their mentorship and support this research would not have been possible. You have both taught me much about thinking, research, thinking about research, and thinking about how others think about research in order to communicate that research effectively. Thank you both for your iv introduction to interdisciplinary research, and for demonstrating some of the ways in which problems and tools can be mapped across fields to each's mutual benefit. These lessons have surely helped me to develop a toolkit for professional and personal success for years to come.

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