Drawing inspiration from examples by analogy can be a powerful tool for innovative design during conceptual ideation but also carries the risk of negative design outcomes (e.g., design fixation), depending on key properties of examples. Understanding these properties is critical for effectively harnessing the power of analogy. The current research explores how variations in analogical distance, commonness, and representation modality influence the effects of examples on conceptual ideation. Senior-level engineering students generated solution concepts for an engineering design problem with or without provided examples drawn from the U.S. Patent database. Examples were crossed by analogical distance (near-field vs. far-field), commonness (more vs. less-common), and modality (picture vs. text). A control group that received no examples was included for comparison. Effects were examined on a mixture of ideation process and product variables. Our results show positive effects of far-field and less-common examples on novelty and variability in quality of solution concepts. These effects are not modulated by modality. However, detailed analyses of process variables suggest divergent inspiration pathways for far-field vs. less-common examples. Additionally, the combination of far-field, less-common examples resulted in more novel concepts than in the control group. These findings suggest guidelines for the effective design and implementation of design-by-analogy methods, particularly a focus on far-field, less-common examples during the ideation process.
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e-mail: joc59@pitt.edu
e-mail: schunn@pitt.edu
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August 2011
Research Papers
On the Benefits and Pitfalls of Analogies for Innovative Design: Ideation Performance Based on Analogical Distance, Commonness, and Modality of Examples
Joel Chan,
e-mail: joc59@pitt.edu
Joel Chan
University of Pittsburgh
, LRDC Room 823, 3939 O’Hara Street, Pittsburgh, PA 15260
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Christian Schunn,
e-mail: schunn@pitt.edu
Christian Schunn
University of Pittsburgh
, LRDC Room 821, 3939 O’Hara Street, Pittsburgh, PA 15260
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Jonathan Cagan,
e-mail: jcag@andrew.cmu.edu
Jonathan Cagan
Carnegie Mellon University
, Scaife Hall 419, 5000 Forbes Avenue, Pittsburgh, PA 15213
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Kristin Wood,
e-mail: ood@mail.utexas.edu
Kristin Wood
University of Texas-Austin
, 1 University Station, ETC 4.146B, M/C C2200, Austin, TX 78712-1063
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Kenneth Kotovsky
Kenneth Kotovsky
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Joel Chan
University of Pittsburgh
, LRDC Room 823, 3939 O’Hara Street, Pittsburgh, PA 15260e-mail: joc59@pitt.edu
Katherine Fu
Christian Schunn
University of Pittsburgh
, LRDC Room 821, 3939 O’Hara Street, Pittsburgh, PA 15260e-mail: schunn@pitt.edu
Jonathan Cagan
Carnegie Mellon University
, Scaife Hall 419, 5000 Forbes Avenue, Pittsburgh, PA 15213e-mail: jcag@andrew.cmu.edu
Kristin Wood
University of Texas-Austin
, 1 University Station, ETC 4.146B, M/C C2200, Austin, TX 78712-1063e-mail: ood@mail.utexas.edu
Kenneth Kotovsky
J. Mech. Des. Aug 2011, 133(8): 081004 (11 pages)
Published Online: August 1, 2011
Article history
Received:
December 20, 2010
Revised:
June 7, 2011
Online:
August 1, 2011
Published:
August 1, 2011
Citation
Chan, J., Fu, K., Schunn, C., Cagan, J., Wood, K., and Kotovsky, K. (August 1, 2011). "On the Benefits and Pitfalls of Analogies for Innovative Design: Ideation Performance Based on Analogical Distance, Commonness, and Modality of Examples." ASME. J. Mech. Des. August 2011; 133(8): 081004. https://doi.org/10.1115/1.4004396
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