Hostname: page-component-77c89778f8-gvh9x Total loading time: 0 Render date: 2024-07-19T05:06:37.314Z Has data issue: false hasContentIssue false
  • English
  • Français

NEW DESIGN HEURISTICS IN THE DIGITAL ERA

Part of: Design Organisation and Management

Published online by Cambridge University Press:  11 June 2020

X. Jin  and
H. Dong
X. Jin*
Affiliation:
Tongji University, China
H. Dong
Affiliation:
Loughborough University, United Kingdom
*
*jinxn@tongji.edu.cn

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

In the digital era, products’ forms do not necessarily follow their function. Design fixation may happen when a designer attempts to generate diverse concepts. New design heuristics for digital design were extracted to support designers in the early conceptual design stage. Ten design heuristics were extracted from 998 RedDot award-winning concept designs (2013-2017) through a five-step process. It was preliminarily tested by four practitioners and proved to have positively influenced their conceptual design.

Keywords

digital designdesign methodsbig data analysis
Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 607 - 616
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2020. Published by Cambridge University Press

References

Bazeley, P. and Jackson, K. (2013), Qualitative data analysis with NVivo, SAGE publications limited.Google Scholar
Bloesch-Paidosh, A. and Shea, K. (2019), “Design Heuristics for Additive Manufacturing Validated Through a User Study”, Journal of Mechanical Design, Vol. 141 No. 4. https://doi.org/10.1115/1.4041051Google Scholar
Bruseberg, A. and McDonagh-Philp, D. (2002), “Focus groups to support the industrial/product designer: a review based on current literature and designers’ feedback”, Applied Ergonomics, Vol. 33 No. 1, pp. 27–38. https://doi.org/10.1016/S0003-6870(01)00053-9CrossRefGoogle ScholarPubMed
Calabretta, G. and Kleinsmann, M. (2017), “Technology-driven evolution of design practices: envisioning the role of design in the digital era”, Journal of Marketing Management, Vol. 33 No. 3-4, pp. 292–304. https://doi.org/10.1080/0267257x.2017.1284436CrossRefGoogle Scholar
Castillo, C. (2005), “Effective web crawling”, Acm sigir forum, Acm New York, NY, USA, pp. 55–56.Google Scholar
Design Council (2018a), The Design Economy 2018: The State of Design in the UK, London, UK.Google Scholar
Design Council (2018b), Understanding Design-Intensive Innovation: A literature review [online], Design Council, London, UK.Google Scholar
Daly, S.R. et al. (2012), “Design Heuristics in Engineering Concept Generation”, Journal of Engineering Education, Vol. 101 No. 4, pp. 601–629. https://doi.org/10.1002/j.2168-9830.2012.tb01121.xCrossRefGoogle Scholar
Dove, G. et al. (2017), “UX Design Innovation: Challenges for Working with Machine Learning as a Design Material”, Proceedings of the 2017 Acm Sigchi Conference on Human Factors in Computing Systems (Chi’17), pp. 278–288. https://doi.org/10.1145/3025453.3025739CrossRefGoogle Scholar
Eberle, R.F. (1971), “Scamper: games for imagination development”, BuffaloN. YDOK.Google Scholar
Edhlund, B. and McDougall, A. (2019), Nvivo 12 Essentials, Lulu.com.Google Scholar
Han, J. et al. (2019), “Three driven approaches to combinational creativity: Problem-, similarity- and inspiration-driven”, Proceedings of the Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science, Vol. 233 No. 2, pp. 373–384. https://doi.org/10.1177/0954406217750189CrossRefGoogle Scholar
Hwang, D. and Park, W. (2018), “Design heuristics set for X: A design aid for assistive product concept generation”, Design Studies, Vol. 58, pp. 89–126. https://doi.org/10.1016/j.destud.2018.04.003CrossRefGoogle Scholar
Ilevbare, I.M., Probert, D. and Phaal, R. (2013), “A review of TRIZ, and its benefits and challenges in practice”, Technovation, Vol. 33 No. 2-3, pp. 30–37. https://doi.org/10.1016/j.technovation.2012.11.003CrossRefGoogle Scholar
Jansson, D.G. and Smith, S.M. (1991), “Design fixation”, Design studies, Vol. 12 No. 1, pp. 3–11.CrossRefGoogle Scholar
Keshwani, S. et al. (2017), “Comparing novelty of designs from biological-inspiration with those from brainstorming”, Journal of Engineering Design, Vol. 28 No. 10-12, pp. 654–680. https://doi.org/10.1080/09544828.2017.1393504CrossRefGoogle Scholar
Kirton, M.J. (2004), Adaption-innovation: In the context of diversity and change, Routledge.CrossRefGoogle Scholar
Osborn, A.F. (1963), Applied imagination; principles and procedures of creative problem-solving: principles and procedures of creative problem-solving, Scribner.Google Scholar
Purcell, A.T. and Gero, J.S. (1996), “Design and other types of fixation”, Design studies, Vol. 17 No. 4, pp. 363–383.CrossRefGoogle Scholar
RedDot. (2020), Red Dot Concept Award Judging Criteria. [online] Red Dot Award: Design Concept. Available at: https://www.red-dot.org/design-concept/jury/ (accessed 05.02.2020).Google Scholar
Self, J.A. (2014), “Mind the Gap: Perceptions of Design Awards from the Wild”, International Journal of Design, Vol. 8 No. 3, pp. 123–138.Google Scholar
Simon, H.A. (1996), The sciences of the artificial, MIT press.Google Scholar
Tsenn, J. et al. (2014), “The effects of time and incubation on design concept generation”, Design Studies, Vol. 35 No. 5, pp. 500–526. https://doi.org/10.1016/j.destud.2014.02.003CrossRefGoogle Scholar
Vasconcelos, L.A. and Crilly, N. (2016), “Inspiration and fixation: Questions, methods, findings, and challenges”, Design Studies, Vol. 42, pp. 1–32. https://doi.org/10.1016/j.destud.2015.11.001CrossRefGoogle Scholar
Wang, H.-H. (2016), “Winning formulas for metaphor design: A case study of design competitions”, DS 84: Proceedings of the DESIGN 2016 14th International Design Conference, pp. 1957–1964.Google Scholar
Yilmaz, S. et al. (2016), “Evidence-based design heuristics for idea generation”, Design Studies, Vol. 46, pp. 95–124. https://doi.org/10.1016/j.destud.2016.05.001CrossRefGoogle Scholar
Yilmaz, S., Seifert, C.M. and Gonzalez, R. (2010), “Cognitive heuristics in design: Instructional strategies to increase creativity in idea generation”, Ai Edam-Artificial Intelligence for Engineering Design Analysis and Manufacturing, Vol. 24 No. 3, pp. 335–355. https://doi.org/10.1017/S0890060410000235CrossRefGoogle Scholar
Yilmaz, S. et al. (2015), “How do designers generate new ideas? Design heuristics across two disciplines”, Design Science, Vol. 1, p. e4. https://doi.org/10.1017/dsj.2015.4CrossRefGoogle Scholar
Yilmaz, S. et al. (2016), “Design Heuristics in Innovative Products”, Journal of Mechanical Design, Vol. 138 No. 7. https://doi.org/10.1115/1.4032219CrossRefGoogle Scholar
Yilmaz, S. et al. (2011), “Creativity through design heuristics: A case study of expert product design”, Design Studies, Vol. 32 No. 4, pp. 384–415. https://doi.org/10.1016/j.destud.2011.01.003CrossRefGoogle Scholar