The Influence of Parametric Design Tools on Increasing Creativity in the Furniture Design Process

Authors: Shalaw Hamza Hamad1 & Husein Ali Husein2
1Architectural Department, Faculty of Engineering, Tishk International University, Erbil, Iraq
2Department of Architecture, Faculty of Engineering, Salahaddin University, Erbil, Iraq

Abstract: This paper tries to investigate the influence of parametric design tools on increasing creativity of furniture designers, hence the most difficult issue for a designer is the creative thinking and bringing new ideas into life. The methodology of this paper is to make a protocol analysis to find criteria of creativity based on the reviewed literature, then create a measurement scale based on these criteria to evaluate the creative aspects of parametric design furniture’s, and a comparison study has been made between parametric design furniture designed with geometrical model-based design. A survey prepared and distributed among 30 architects who had experience in furniture design to assess the creativity level of each furniture which contained three categories (chairs, shelves, and built-in furniture). The participants were 22 males and 8 females. From analyzing results, we can find that 65.38 % of the participants said they have used parametric design tools in the average of (3 years’ experience) while the other 34.62 % said they didn’t use it before. 92.31 % from the respondents think that parametric design increases creativity, and the rest disagrees. The results of the first part show that participants rated the selected parametric furniture based on criteria of creativity as following: For Originality 4/5, aesthetic 4/5, Function 3.5/5, elegancy 4/5, and Innovation 4/5. While the second part of the survey which a comparison; the median for parametric furniture’s creativity level was 4 while the median for geometric based modelled was 3. From the results, we can conclude that parametric design tools indeed help designers to do creative designs more than geometric based design tools. For future studies, we suggest investigating the role of parametric design in the interior design process in total, hence we only studied its influence on the furniture design process.

keyword: Parametric Design, Creativity, Design Process

Download the PDF Document

doi: 10.23918/eajse.v6i1p199


Abdelmohsen, S. M., & Do, E. Y. L. (2009). Analysing the significance of problem solving expertise and computational tool proficiency in design ideation.

Antonovsky, A. (1996). The salutogenic model as a theory to guide health promotion. Health Promotion International, 11(1), 11-18. Architectural Design, 79, 14–23.

Bilda, Z., & Demirkan, H. (2003). An insight on designers’ sketching activities in traditional versus digital media. Design Studies, 24(1), 27-50.

Blosiu, J. O. (1999). Use of synoptics as an idea seeding technique to enhance design creativity. Paper presented at the 1999 IEEE international conference on the Systems, Man, andCybernetics, 1999 (IEEE SMC ’99), Tokyo (Vol. 3, pp. 1001–1006). IEEE.

Branko, K. (2003). Architecture in the digital Age. Design and manufacturing. New York and London, Taylor & Francis.

Chien, S. F., & Yeh, Y. T. (2012). On creativity and parametric design—A preliminary study of designer’s behaviour when employing parametricdesign tools. In Proceedings of 30th International Conference on Education and Research in Computer Aided Architectural Design in Europe, Prague, Czech Republic (Vol. 1214).

Cropley, D. H., Kaufman, J. C., & Cropley, A. J. (2011). Measuring creativity for innovation management. Journal of Technology Management & Innovation, 6(3), 13-30.

Iordanova, I., Tidafi, T., Guité, M., De Paoli, G., & Lachapelle, J. (2009). Parametric methods of exploration and creativity during architectural design. CAADFutures.

Iordanova, I., Tidafi, T., Guité, M., De Paoli, G., & Lachapelle, J. (2009). Parametric methods of exploration and creativity during architectural design: A Case study in the design studio. Paper presented at the Proceedings of 13th International Conference on Computer Aided Architectural Design Futures, Montréal, Canada.

Lee, J. H., Gu, N., Jupp, J., & Sherratt, S. (2014). Evaluating creativity in parametric design processes and products: a pilot study. In Design Computing and Cognition’12 (pp. 165-183). Springer, Dordrecht.

Lee, Y. (2015). The parametric design genealogy of Zaha Hadid. Journal of Asian Architecture and Building Engineering, 14(2), 403-410.

Ostwald, M. J. (2012). Systems and enablers: Modeling the impact of contemporary computational methods and technologies on the design process. In Computational Design Methods and Technologies: Applications in CAD, CAM and CAE Education (pp. 1-17). IGI Global.

Oxman, R. (2008). Digital architecture as a challenge for design pedagogy: Theory, knowledge, models and medium. Design Studies, 29(2), 99-120.

Qian, C. Z., Chen, V. Y., & Woodbury, R. F. (2007, October). Participant observationcan discover design patterns in parametric modeling. In Proceedings of 27th International Conference on the Association for Computer Aided Design in Architecture, Halifax, UK (Vol. 17).

Schnabel, M. A. (2007). Parametric designing in architecture. In Computer-Aided Architectural Design Futures (CAADFutures) 2007 (pp. 237-250). Springer, Dordrecht.

Schumacher, P. (2009). Parametricism: A new global style for architecture and urban design.

Schumacher, P., Shuojiong, Z., & Unstudio, L. D. (2012). Parametricism the parametric paradigm and the formation of a new style. Time Architecture, 5, 007.

Yu, R., Gu, N., & Ostwald, M. (2013). Comparing designers’ problem-solving behavior in a parametric design environment and a geometric modeling environment. Buildings, 3(3), 621-638.

Zarei, Y. (2012). The challenges of paramteric design in architecture today: Mapping the design practice (Doctoral dissertation, Thesis-MPhil).