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Lifting the Veil: Drawing Insights about Design Teams from a
Cognitively-inspired Computational Model
Christopher McComb, Jonathan Cagan, Department of Mechanical Engineering,
Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, USA
Kenneth Kotovsky, Department of Psychology, Carnegie Mellon University, Pittsburgh, PA
15213, USA
Corresponding Author: Jonathan Cagan
Department of Mechanical Engineering
Carnegie Mellon University
5000 Forbes Ave
Pittsburgh, PA 15213, USA
cagan@cmu.edu
Phone: (412) 268-3713
Fax: (412) 268-3348
Abstract
Novel design methodologies are often evaluated through studies involving human designers, but
such studies can incur a high personnel cost. It can also be difficult to isolate the effects of
specific team or individual characteristics. This work introduces the Cognitively-Inspired
Simulated Annealing Teams (CISAT) modeling framework, a platform for efficiently simulating
and analyzing human design teams. The framework models a number of empirically
demonstrated cognitive phenomena, thus balancing simplicity and direct applicability. This paper
discusses the model’s composition, and demonstrates its utility through simulating human design
teams in a cognitive study. Simulation results are compared directly to the results from human
designers. The CISAT model is also used to identify the most beneficial characteristics in the
cognitive study.
Keywords: computational model, design cognition, teamwork, engineering design
© 2015. This manuscript version is made available under the Elsevier user license
http://www.elsevier.com/open-access/userlicense/1.0/