A multitude of studies in economics, psychology, political and social sciences have demonstrated the wisdom of crowds (WoC) phenomenon, where the collective estimate of a group can be more accurate than estimates of individuals. While WoC is observable in such domains where the participating individuals have experience or familiarity with the question at hand, it remains unclear how effective WoC is for domains that traditionally require deep expertise or sophisticated computational models to estimate objective answers. This work explores how effective WoC is for engineering design problems that are esoteric in nature, that is, problems (1) whose solutions traditionally require expertise and specialized knowledge, (2) where access to experts can be costly or infeasible, and (3) in which previous WoC studies with the general population have been shown to be highly ineffective. The main hypothesis in this work is that in the absence of experts, WoC can be observed in groups that consist of practitioners who are defined to have a base familiarity with the problems in question but not necessarily domain experts. As a way to emulate commonly encountered engineering problem-solving scenarios, this work studies WoC with practitioners that form microcrowds consisting of 5–15 individuals, thereby giving rise to the term the wisdom of microcrowds (WoMC). Our studies on design evaluations show that WoMC produces results whose mean is in the 80th percentile or better across varying crowd sizes, even for problems that are highly nonintuitive in nature.
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August 2019
Research-Article
Wisdom of Microcrowds in Evaluating Solutions to Esoteric Engineering Problems
Nurcan Gecer Ulu,
Nurcan Gecer Ulu
1
Department of Mechanical Engineering,
Pittsburgh, PA 15213
e-mail: ngu@cmu.edu
Carnegie Mellon University
,Pittsburgh, PA 15213
e-mail: ngu@cmu.edu
1Corresponding author.
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Michael Messersmith,
Michael Messersmith
Department of Mechanical Engineering,
Pittsburgh, PA 15213
e-mail: mmessers@andrew.cmu.edu
Carnegie Mellon University
,Pittsburgh, PA 15213
e-mail: mmessers@andrew.cmu.edu
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Kosa Goucher-Lambert,
Kosa Goucher-Lambert
Department of Mechanical Engineering,
Pittsburgh, PA 15213
e-mail: kgoucher@andrew.cmu.edu
Carnegie Mellon University
,Pittsburgh, PA 15213
e-mail: kgoucher@andrew.cmu.edu
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Jonathan Cagan,
Jonathan Cagan
Department of Mechanical Engineering,
Pittsburgh, PA 15213
e-mail: cagan@cmu.edu
Carnegie Mellon University
,Pittsburgh, PA 15213
e-mail: cagan@cmu.edu
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Levent Burak Kara
Levent Burak Kara
Department of Mechanical Engineering,
Pittsburgh, PA 15213
e-mail: lkara@cmu.edu
Carnegie Mellon University
,Pittsburgh, PA 15213
e-mail: lkara@cmu.edu
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Nurcan Gecer Ulu
Department of Mechanical Engineering,
Pittsburgh, PA 15213
e-mail: ngu@cmu.edu
Carnegie Mellon University
,Pittsburgh, PA 15213
e-mail: ngu@cmu.edu
Michael Messersmith
Department of Mechanical Engineering,
Pittsburgh, PA 15213
e-mail: mmessers@andrew.cmu.edu
Carnegie Mellon University
,Pittsburgh, PA 15213
e-mail: mmessers@andrew.cmu.edu
Kosa Goucher-Lambert
Department of Mechanical Engineering,
Pittsburgh, PA 15213
e-mail: kgoucher@andrew.cmu.edu
Carnegie Mellon University
,Pittsburgh, PA 15213
e-mail: kgoucher@andrew.cmu.edu
Jonathan Cagan
Department of Mechanical Engineering,
Pittsburgh, PA 15213
e-mail: cagan@cmu.edu
Carnegie Mellon University
,Pittsburgh, PA 15213
e-mail: cagan@cmu.edu
Levent Burak Kara
Department of Mechanical Engineering,
Pittsburgh, PA 15213
e-mail: lkara@cmu.edu
Carnegie Mellon University
,Pittsburgh, PA 15213
e-mail: lkara@cmu.edu
1Corresponding author.
Contributed by the Design Theory and Methodology Committee of ASME for publication in the Journal of Mechanical Design. Manuscript received April 2, 2018; final manuscript received January 9, 2019; published online April 16, 2019. Assoc. Editor: Katja Holtta-Otto.
J. Mech. Des. Aug 2019, 141(8): 081102 (10 pages)
Published Online: April 16, 2019
Article history
Received:
April 2, 2018
Revision Received:
January 9, 2019
Accepted:
January 11, 2019
Citation
Gecer Ulu, N., Messersmith, M., Goucher-Lambert, K., Cagan, J., and Kara, L. B. (April 16, 2019). "Wisdom of Microcrowds in Evaluating Solutions to Esoteric Engineering Problems." ASME. J. Mech. Des. August 2019; 141(8): 081102. https://doi.org/10.1115/1.4042615
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