The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
A Study of Design Fixation, Its Mitigation and Perception in Engineering Design Faculty
Abstract
The bridge between engineering design and cognitive science research is critical to understand the effectiveness of design methods as implemented by human designers. The study reported in this paper evaluates the effects of design fixation in a group of engineering design faculty, and also provides evidence for approaches to overcome design fixation. Three conditions are compared, a control, a fixation group whom were provided with an example solution, and a defixation group whom were also given materials to mitigate their design fixation. Measures include indicators of design fixation and participant perceptions. The study demonstrates that the engineering design faculty show statistically significant evidence of design fixation, but only partially perceive its effects. This study also indicates that design fixation can be mitigated. The group of participants in this study, due to their background in engineering design research and experience with student design teams, was expected to have more accurate perceptions or awareness of design fixation than the typical participant. Understanding the incongruities between participant perceptions and quantitative design outcomes are particularly of interest to researchers of design methods. For this study, clear evidence exists that designers, even those that study and teach design on a regular basis, do not know when they are being influenced or fixated by misleading or poor information.
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Cites
Statistical Methods for Psychology.
Gudgeon, A. C., & Howell, D. C. (1994) · The Statistician · doi:10.2307/2348956 · Cited by 8,278
PRODUCT DESIGN AND DEVELOPMENT
(2018) · Handbook of Research on New Product Development · doi:10.4337/9781784718152.00017 · Cited by 5,504
Engineering Design: A Systematic Approach
(1963) · Students Quarterly Journal · doi:10.1049/sqj.1963.0055 · Cited by 4,100
(1992) · Choice Reviews Online · doi:10.5860/choice.30-0323 · Cited by 2,159
Engineering design — A systematic approach
Edwards, K. L. (1995) · Materials & Design · doi:10.1016/0261-3069(96)84970-3 · Cited by 2,130
Design Prototypes: A Knowledge Representation Schema for Design
Gero, J. S. (2014) · Annual Review of Policy Design · Cited by 1,733
The situated function–behaviour–structure framework
Gero, J. S., & Kannengiesser, U. (2004) · Design Studies · doi:10.1016/j.destud.2003.10.010 · Cited by 1,192
Product Design: Techniques in Reverse Engineering and New Product Development
Otto, K., & Wood, K. L. (2000) · Cited by 1,102
Self-citationMetrics for measuring ideation effectiveness
Shah, J. J., Smith, S. M., & Vargas-Hernandez, N. (2003) · Design Studies · doi:10.1016/s0142-694x(02)00034-0 · Cited by 1,095
Jansson, D. G., & Smith, S. M. (1991) · Design Studies · doi:10.1016/0142-694x(91)90003-f · Cited by 1,087
Cited by
Fixation and creativity in concept development: The attitudes and practices of expert designers
Crilly, N. (2015) · Design Studies · doi:10.1016/j.destud.2015.01.002 · Cited by 330
The Effects of Generative AI on Design Fixation and Divergent Thinking
Wadinambiarachchi, S., Kelly, R. M., Pareek, S., Zhou, Q., & Velloso, E. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642919 · Cited by 320
“When a person experiences design fixation, they tend to adhere to pre-conceived ideas and concepts, limiting exploration of the design space during ideation [30, 40, 47].”
BackgroundDesign fixation: Classifications and modern methods of prevention
Youmans, R. J., & Arciszewski, T. (2014) · Artificial Intelligence for Engineering Design, Analysis and Manufacturing · doi:10.1017/s0890060414000043 · Cited by 121
Providing Timely Examples Improves the Quantity and Quality of Generated Ideas
Siangliulue, P., Chan, J., Gajos, K. Z., & Dow, S. P. (2015) · Proceedings of the 2015 ACM SIGCHI Conference on Creativity and Cognition · doi:10.1145/2757226.2757230 · Cited by 99
A new strategy to reduce design fixation: Presenting partial photographs to designers
Cheng, P., Mugge, R., & Schoormans, J. P. L. (2014) · Design Studies · doi:10.1016/j.destud.2014.02.004 · Cited by 89
Metadata
- Authors
- Linsey, J. S., Tseng, I., Fu, K., Cagan, J., Wood, K. L., & Schunn, C.
- Venue
- Journal of Mechanical Design
- Publisher
- ASME International
- Published
- 2010-04-01
- Volume
- 132
- Issue
- 4
- ISSN
- 0161-8458 (ISSN-L)
- 1050-0472
- 1528-9001
- OpenAlex
- W2065406122
- Cited by
- 393
- References
- 69
- FWCI
- 34.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- Linsey, J. S., Tseng, I., Fu, K., Cagan, J., Wood, K. L., & Schunn, C. (2010). A Study of Design Fixation, Its Mitigation and Perception in Engineering Design Faculty. Journal of Mechanical Design. https://doi.org/10.1115/1.4001110
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.