A new strategy to reduce design fixation: Presenting partial photographs to designers
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Showing partially completed or blurred outputs might be beneficial for introducing ambiguity and pushing ideas in new directions.
“Another direction is to show partially completed or blurred outputs, which might be beneficial for introducing ambiguity and pushing ideas in new directions [13].”
From The Effects of Generative AI on Design Fixation and Divergent Thinking (2024) · cites this paper as [13]
Cites
Motivation reconsidered: The concept of competence.
White, R. W. (1959) · Psychological Review · doi:10.1037/h0040934 · Cited by 5,681 · see citing works
Motivation reconsidered: The concept of competence.
White, R. W. (1963) · Scott, Foresman eBooks · doi:10.1037/14156-005 · Cited by 4,835 · see citing works
The psychology of curiosity: A review and reinterpretation.
Loewenstein, G. (1994) · Psychological Bulletin · doi:10.1037/0033-2909.116.1.75 · Cited by 2,738 · see citing works
Seeking the Ideal Form: Product Design and Consumer Response
Bloch, P. H. (1995) · Journal of Marketing · doi:10.2307/1252116 · Cited by 1,921 · see citing works
Jansson, D. G., & Smith, S. M. (1991) · Design Studies · doi:10.1016/0142-694x(91)90003-f · Cited by 1,087 · see citing works
Structured Imagination: the Role of Category Structure in Exemplar Generation
Ward, T. B. (1994) · Cognitive Psychology · doi:10.1006/cogp.1994.1010 · Cited by 828 · see citing works
Design and other types of fixation
Purcell, A. T., & Gero, J. S. (1996) · Design Studies · doi:10.1016/s0142-694x(96)00023-3 · Cited by 552 · see citing works
Christensen, B. T., & Schunn, C. D. (2007) · Memory & Cognition · doi:10.3758/bf03195939 · Cited by 438 · see citing works
A Study of Design Fixation, Its Mitigation and Perception in Engineering Design Faculty
Linsey, J., Tseng, I.-H., Fu, K. K., Cagan, J., Wood, K. L., & Schunn, C. D. (2010) · Journal of Mechanical Design · doi:10.1115/1.4001110 · Cited by 393 · see citing works
Variances in the impact of visual stimuli on design problem solving performance
Goldschmidt, G., & Smolkov, M. (2006) · Design Studies · doi:10.1016/j.destud.2006.01.002 · Cited by 385 · see citing works
Expertise and the use of visual analogy: implications for design education
Casakin, H., & Goldschmidt, G. (1999) · Design Studies · doi:10.1016/s0142-694x(98)00032-5 · Cited by 367 · see citing works
Chrysikou, E. G., & Weisberg, R. W. (2005) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.31.5.1134 · Cited by 346 · see citing works
Chan, J., Fu, K. K., Schunn, C. D., Cagan, J., Wood, K. L., & Kotovsky, K. (2011) · Journal of Mechanical Design · doi:10.1115/1.4004396 · Cited by 293 · see citing works
A Study of a Neglected Portion of the Field of Learning—the Development of Sensory Organization
Leeper, R. W. (1935) · The Pedagogical Seminary and Journal of Genetic Psychology · doi:10.1080/08856559.1935.10533144 · Cited by 260 · see citing works
Inspiring design ideas with texts
Goldschmidt, G., & Sever, A. L. (2010) · Design Studies · doi:10.1016/j.destud.2010.09.006 · Cited by 212 · see citing works
The role of timing and analogical similarity in the stimulation of idea generation in design
Tseng, I., Moss, J., Cagan, J., & Kotovsky, K. (2008) · Design Studies · doi:10.1016/j.destud.2008.01.003 · Cited by 204 · see citing works
Modality and representation in analogy
Linsey, J., Wood, K. L., & Markman, A. B. (2008) · Artificial intelligence for engineering design analysis and manufacturing · doi:10.1017/s0890060408000061 · Cited by 186 · see citing works
The effects of physical prototyping and group work on the reduction of design fixation
Youmans, R. J. (2010) · Design Studies · doi:10.1016/j.destud.2010.08.001 · Cited by 182 · see citing works
Cryptomnesia: Delineating inadvertent plagiarism.
Brown, A. S., & Murphy, D. R. (1989) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.15.3.432 · Cited by 153 · see citing works
Özkan, Ö. H., & Doğan, F. (2012) · Design Studies · doi:10.1016/j.destud.2012.11.006 · Cited by 134 · see citing works
Instructional Message Design: Principles from the Behavioral Sciences
Fleming, M. L., & Levie, W. H. (1979) · Medical Entomology and Zoology · Cited by 130 · see citing works
Street, R. F. (1931) · Teachers College Record The Voice of Scholarship in Education · doi:10.1177/016146813103300306 · Cited by 129 · see citing works
It looks like a Toyota: Educational approaches to designing for visual brand recognition
Karjalainen, T. (2007) · International journal of design · Cited by 128 · see citing works
Cai, H., Yi–Luen, E., & Zimring, C. (2010) · Design Studies · doi:10.1016/j.destud.2009.12.003 · Cited by 118 · see citing works
Effects of examples on the results of a design activity
Purcell, A. T., & Gero, J. S. (1992) · Knowledge-Based Systems · doi:10.1016/0950-7051(92)90026-c · Cited by 113 · see citing works
The effect of representation of triggers on design outcomes
Sarkar, P., & Chakrabarti, A. (2008) · Artificial intelligence for engineering design analysis and manufacturing · doi:10.1017/s0890060408000073 · Cited by 105 · see citing works
An In Situ Study of Analogical Reasoning in Novice and Experienced Design Engineers
Ahmed‐Kristensen, S., & Christensen, B. T. (2009) · Journal of Mechanical Design · doi:10.1115/1.3184693 · Cited by 57 · see citing works
Rodriguez-Leal, E., Dai, J. S., & Pennock, G. R. (2009) · Cited by 52 · see citing works
Structural Tendencies and Exposure Effects in Design Idea Generation
Perttula, M. K., & Liikkanen, L. A. (2006) · ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE) · doi:10.1115/detc2006-99123 · Cited by 48 · see citing works
Collections designers keep: Collecting visual material for inspiration and reference
Keller, I., Pasman, G., & Stappers, P. J. (2006) · CoDesign · doi:10.1080/15710880600571123 · Cited by 47 · see citing works
Algorithms and inspirations: creative reuse of design experience
Eckert, C. M., Stacey, M., & Clarkson, P. J. (2000) · Cambridge University Engineering Department Publications Database · Cited by 33 · see citing works
Biasing cognitive processes during design: the effects of color
Damle, A., & Smith, P. J. (2009) · Design Studies · doi:10.1016/j.destud.2009.01.001 · Cited by 32 · see citing works
Cardoso, C., Badke-Schaub, P., & Luz, A. (2009) · Volume 8: 14th Design for Manufacturing and the Life Cycle Conference; 6th Symposium on International Design and Design Education; 21st International Conference on Design Theory and Methodology, Parts A and B · doi:10.1115/detc2009-86826 · Cited by 31 · see citing works
FIND YOUR INSPIRATION: EXPLORING DIFFERENT LEVELS OF ABSTRACTION IN TEXTUAL STIMULI
Gonçalves, M., Cardoso, C., & Badke‐Schaub, P. (2012) · Cited by 24 · see citing works
Fuge, M., & Kara, L. B. (2009) · Volume 8: 14th Design for Manufacturing and the Life Cycle Conference; 6th Symposium on International Design and Design Education; 21st International Conference on Design Theory and Methodology, Parts A and B · doi:10.1115/detc2009-87398 · Cited by 3 · see citing works
Flagged first, then by citations
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 · see citing works
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 187 · see citing works
“Recent developments in generative artificial intelligence (GenAI) have been heralded as the harbinger of a new paradigm of creative work, often under the guise of augmenting human creativity [22].”
Creativity and fixation in the real world: A literature review of case study research
Crilly, N. (2019) · Design Studies · doi:10.1016/j.destud.2019.07.002 · Cited by 67 · see citing works
A review of design fixation: research directions and key factors
Alipour, L., Faizi, M., Moradi, A. M., & Akrami, G. (2018) · International Journal of Design Creativity and Innovation · doi:10.1080/21650349.2017.1320232 · Cited by 44 · see citing works
- Authors
- Cheng, P., Mugge, R., & Schoormans, J. P. L.
- Affiliations
- Delft University of Technology (NL)
- Corresponding author
- Mugge, Ruth
- Venue
- Design Studies
- Publisher
- Elsevier BV
- Published
- 2014-07
- Volume
- 35
- Issue
- 4
- Pages
- 374-391
- ISSN
- 0142-694X (ISSN-L)
- OpenAlex
- W2069684438
- Cited by
- 89
- References
- 35
- Citations by year
- 2026: 8 · 2025: 9 · 2024: 8 · 2023: 8 · 2022: 5 · 2021: 6 · 2020: 12 · 2019: 6 · 2018: 9 · 2017: 5 · 2016: 9 · 2015: 4
- FWCI
- 6.99
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Design Studies (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 originality, creative thinking, design inspiration, design evaluation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review