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Cited by 121Design Education and PracticeCreativity in Education and NeuroscienceInnovative Human-Technology Interaction

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

Youmans, Robert J., Arciszewski, Thomaz·2014·Artificial Intelligence for Engineering Design, Analysis and Manufacturing
DOI 10.1017/s0890060414000043
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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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Citations

Cites

Research works printed but not linked: 12

  1. Gero, 2000, Research methods for design science research: computational and cognitive approaches
  2. Arciszewski, 1988, ARIZ 77—an innovative design method, Methods and Theories, 22, 796
  3. Weir, 1984, Another look at subliminal “facts.”, Advertising Age, 55
  4. Arciszewski, 1998, NASA Conf. Publication, 167
  5. Bellows, 2012, Proc. Human Factors and Ergonomics Society Annual Meeting, 1977
  6. Amabile, 1996, Creativity in Context
  7. Yuemin, 2011, Promoting public spaces of campus for the development of creativity, China Electric Power Education, 26, 18
  8. Clarke, 1997, TRIZ: Through the Eyes of an American TRIZ Specialist
  9. Arciszewski, 2009, Successful Education: How to Educate Creative Engineers
  10. Pratkanis, 1992, The cargo-cult science of subliminal persuasion, Skeptical Inquirer, 16, 260
  11. Zwicky, 1969, Discovery, Invention, Research Through the Morpho-logical Analysis
  12. Altshuller, 1994, The Art of Inventing (and Suddenly the Inventor Appeared)

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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
DOI
10.1017/s0890060414000043
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
Licence
www.cambridge.org/core/terms (unspecified, 15 d)
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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