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A Computational Study of the Effect of Experience on Problem/Solution Space Exploration in Teams

Part of: Collaborative Design

Published online by Cambridge University Press:  26 July 2019

Marija Majda Perisic ,
Tomislav Martinec ,
Mario Storga  and
John S Gero
Marija Majda Perisic*
Affiliation:
University of Zagreb;
Tomislav Martinec
Affiliation:
University of Zagreb;
Mario Storga
Affiliation:
University of Zagreb; Luleå University of Technology;
John S Gero
Affiliation:
University of North Carolina at Charlotte; George Mason University
*
Contact: Perisic, Marija Majda, University of Zagreb, FSB, Department of Design Croatia, [email protected]

Abstract

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This paper presents the results of computational experiments aimed at studying the effect of experience on design teams’ exploration of problem-solution space. An agent-based model of a design team was developed and its capability to match theoretically-based predictions is tested. Hypotheses that (1) experienced teams need less time to find a solution and that (2) in comparison to the inexperienced teams, experienced teams spend more time exploring the solution-space than the problem-space, were tested. The results provided support for both of the hypotheses, demonstrating the impact of learning and experience on the exploration patterns in problem and solution space, and verifying the system's capability to produce the reliable results.

Keywords

TeamworkSimulationHuman behaviour in designAgent-based modellingCoevolution
Type
Article
Information
Proceedings of the Design Society: International Conference on Engineering Design , Volume 1 , Issue 1 , July 2019 , pp. 11 - 20
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s) 2019

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