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Utilizing Markov Chains to Understand Operation Sequencing in Design Tasks

McComb, C., Cagan, J., and Kotovsky, K. 2016, Design Computing and Cognition ’16 Design often involves searching for a final design solution by iteratively modifying and adjusting a current design. Through this process designers are able to improve the quality...
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Rolling with the Punches: An Examination of Team Performance in a Design Task Subject to Drastic Changes

McComb, C., Cagan, J., and Kotovsky, K. 2015, Design Studies, vol. 36, pp. 99-121 Designers must often create solutions to problems that exhibit dynamic characteristics. For instance, a client might modify specifications after design has commenced, or a competitor may...
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Mining Process Heuristics from Designer Action Data via Hidden Markov Models

McComb, C., Cagan, J., and Kotovsky, K. 2017, Journal of Mechanical Design Configuration design problems, characterized by the assembly of components into a final desired solution, are common in engineering design. Various theoretical approaches have been offered for...
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Impossible by Design? Fairness, Strategy, and Arrow’s Impossibility Theorem

McComb, C., Goucher-Lamber, K., and Cagan, J. 2017, Design Science, vol. 3(2) The design process often requires work by teams, rather than individuals. During team based design it is likely that situations will arise in which individual members of the team have...
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Heterogeneous Simulated Annealing Teams: An Optimizing Search Algorithm Inspired by Engineering Design Teams

McComb, C., Cagan, J., and Kotovsky, K. 2015, International Conference on Engineering Design Although insights uncovered by design cognition are often utilized to develop the methods used by human designers, using such insights to inform computational methodologies...
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