[en] Design fixation is a phenomenon with important significance to many fields of design due to the potential negative impacts it may have in design outcomes, especially during the ideation stage of the design process. The present study aims to provide a framework for understanding, or at least probing, design fixation by presenting a review of existing defixation approaches, as well as metrics that have been employed to understand and account for design fixation. This study also describes the results of two design by analogy (DbA) methods, WordTree and SCAMPER, to overcome design fixation in an experiment that involved 97 knowledge-domain experts. The study outcomes are at least twofold: a common framework of metrics and approaches to overcome design fixation in a wide range of design problems and nonintuitive results for DbA approaches in design fixation and other related creativity metrics. The application of WordTree and SCAMPER shows that both methods yield increased novelty compared to a control, where the SCAMPER results are significantly higher than WordTree. It is also found that WordTree mitigates design fixation whereas SCAMPER appears to be ineffective for this purpose but effective to generate an increased quantity of novel ideas. These results demonstrate that both DbA methods provide defixation capabilities and enhance designers’ creativity during idea generation.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
MORENO GRANDAS, Diana Paola ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Blessing, Lucienne; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Yang, Maria; Massachusetts Institute of Technology - MIT
Hernandez, Alberto; ITESM
Wood, Kristin; SUTD
External co-authors :
yes
Language :
English
Title :
Overcoming Design Fixation: Design-by-Analogy Studies and Non-Intuitive Findings
Publication date :
2016
Journal title :
Artificial Intelligence for Engineering Design, Analysis and Manufacturing – AIEDAM
Volume :
20
Issue :
2
Pages :
185-199
Peer reviewed :
Peer reviewed
FnR Project :
FNR7935078 - Design Methods For Products, Services And Product-service Systems, 2014 (01/10/2014-30/09/2016) - Diana Paola Moreno Grandas