The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
Design fixation: Classifications and modern methods of prevention
Abstract
The term design fixation is often used interchangeably to refer to situations where designers limit their creative output because of an overreliance on features of preexisting designs, or more generally, an overreliance on a specific body of knowledge directly associated with a problem. In this paper, we argue that interdisciplinary interest in design fixation has led to increasingly broad definitions of the phenomenon that may be undermining empirical research efforts, educational efforts to minimize fixation, and the acquisition and dissemination of transdisciplinary knowledge about fixation effects. To address these issues, we recommend that researchers consider categorizing fixation phenomena into one of three classifications: unconscious adherence to the influence of prior designs, conscious blocks to change, and intentional resistance to new ideas. Next, we distinguish between concept-based design fixation, fixation to a specific class of known design concepts, and knowledge-based design fixation, fixation to a problem-specific knowledge base. With these distinctions in place, we propose a system of orders of design fixation, recommend methods for reducing fixation in inventive design, and recommend areas that are in need of further research within the field of design science.
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“One strategy to snap participants out of fixation is to have timely warnings to consider alternative options [76].”
From The Effects of Generative AI on Design Fixation and Divergent Thinking (2024) · cites this paper as [76]
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Cites
The role of deliberate practice in the acquisition of expert performance
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993) · Psychological Review · doi:10.1037/0033-295x.100.3.363 · Cited by 9,564 · cited 1×
“There is a common folk belief in engineering that approximately 10 years of experience is necessary to become an inventor, a viewpoint shared by some in the psychology community (Erickson et al., 1993).”
BackgroundA spreading-activation theory of semantic processing.
Collins, A. M., & Loftus, E. F. (1975) · Psychological Review · doi:10.1037/0033-295x.82.6.407 · Cited by 8,141
Some Experiments on the Recognition of Speech, with One and with Two Ears
Cherry, E. C. (1953) · The Journal of the Acoustical Society of America · doi:10.1121/1.1907229 · Cited by 4,774
Kolodner, J. L. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511816833.015 · Cited by 4,248
Engineering Design: A Systematic Approach
(1963) · Students Quarterly Journal · doi:10.1049/sqj.1963.0055 · Cited by 4,114
Duncker, K. (1945) · Psychological Monographs · doi:10.1037/h0093599 · Cited by 2,938
Lorenzen, M. (2009) · Routledge eBooks · doi:10.4324/9780203880012-4a · Cited by 2,286
Grant, D. A., & Berg, E. (1948) · Journal of Experimental Psychology · doi:10.1037/h0059831 · Cited by 2,244
Kolodner, J. L. (1993) · Elsevier eBooks · doi:10.1016/b978-1-55860-237-3.50005-4 · Cited by 1,318
Mechanization in problem solving: The effect of Einstellung.
Luchins, A. S. (1942) · Psychological Monographs · doi:10.1037/h0093502 · Cited by 1,143
Research works printed but not linked: 12
- Gero, 2000, Research methods for design science research: computational and cognitive approaches
- Arciszewski, 1988, ARIZ 77—an innovative design method, Methods and Theories, 22, 796
- Weir, 1984, Another look at subliminal “facts.”, Advertising Age, 55
- Arciszewski, 1998, NASA Conf. Publication, 167
- Bellows, 2012, Proc. Human Factors and Ergonomics Society Annual Meeting, 1977
- Amabile, 1996, Creativity in Context
- Yuemin, 2011, Promoting public spaces of campus for the development of creativity, China Electric Power Education, 26, 18
- Clarke, 1997, TRIZ: Through the Eyes of an American TRIZ Specialist
- Arciszewski, 2009, Successful Education: How to Educate Creative Engineers
- Pratkanis, 1992, The cargo-cult science of subliminal persuasion, Skeptical Inquirer, 16, 260
- Zwicky, 1969, Discovery, Invention, Research Through the Morpho-logical Analysis
- Altshuller, 1994, The Art of Inventing (and Suddenly the Inventor Appeared)
Cited by
Sorted by citations
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
Inspiration and fixation: Questions, methods, findings, and challenges
Vasconcelos, L. A., & Crilly, N. (2015) · Design Studies · doi:10.1016/j.destud.2015.11.001 · Cited by 204
Where next for research on fixation, inspiration and creativity in design?
Crilly, N., & Cardoso, C. (2017) · Design Studies · doi:10.1016/j.destud.2017.02.001 · Cited by 197
Suh, S., Chen, M., Min, B., Li, T. J.-J., & Xia, H. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642400 · Cited by 148
Metadata
- Authors
- Youmans, R. J., & Arciszewski, T.
- Affiliations
- George Mason University (US)
- Corresponding author
- Youmans, Robert J.
- Venue
- Artificial Intelligence for Engineering Design, Analysis and Manufacturing
- Publisher
- Cambridge University Press (CUP)
- Published
- 2014-05
- Volume
- 28
- Issue
- 2
- Pages
- 129-137
- ISSN
- 0890-0604 (ISSN-L)
- 1469-1760
- OpenAlex
- W2109147217
- Cited by
- 121
- References
- 62
- Citations by year
- 2026: 8 · 2025: 16 · 2024: 12 · 2023: 12 · 2022: 11 · 2021: 16 · 2020: 15 · 2019: 6 · 2018: 8 · 2017: 8 · 2016: 6 · 2015: 2 · 2014: 1
- FWCI
- 6.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Artificial intelligence for engineering design analysis and manufacturing (publishedVersion)
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Design Education and Practice
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Creativity in Education and Neuroscience
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- design fixation, design creativity, inventive design, design education, transdisciplinary knowledge, resistance to new ideas
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