A state-transition model of team conceptual design activity
The purpose of the study is to model the micro-scale process patterns which can be identified during team conceptual design activities. A state-transition model has been developed and used to empirically investigate the patterns of design operations during two types of team conceptual design activities: ideation and concept review. The presented work builds on the perception of design problems as ill-defined and implies that conceptual design activities involve the simultaneous development of problems and solutions using three distinctive design operations—analysis, synthesis, and evaluation. The three design operations have been defined as fine-grain design steps performed by design teams when exploring the content of both the problem and the solution dimensions of the design space. Moreover, design operations have been conceptualised as transitions between states of the explored design space, thus providing a basis for the state-transition model. The model’s ability to map and visualise proportions of design operation sequences emerging during ideation and concept review has facilitated the identification of both the activity-specific patterns and patterns that were likely to appear during both types of empirically investigated activities. The two activities exhibited similar patterns, such as alternation of solution synthesis and analysis, sequences of synthesis, analysis and evaluation within solution space, and the potential co-evolution episodes. Nevertheless, divergent traits have been identified for ideation, and convergent traits for concept review, based on the significant differences in proportions of design operations and their sequences.
KeywordsDesign process Conceptual design activity Teamwork State-transition model Ideation Concept review
This paper reports on work funded by the Croatian Science Foundation MInMED (http://www.minmed.org) and TAIDE projects (http://www.taide.org). The authors would like to thank Philip Cash (TU Denmark) for providing the multimedia data of the experiment sessions.
Croatian Science Foundation project IP-2018-01-7269: Team Adaptability for Innovation-Oriented Product Development - TAIDE (http://www.taide.org).
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
- Andreasen MM, Hansen CT, Cash P (2015) Conceptual design: interpretations, mindset and models. Springer, ChamGoogle Scholar
- Asimow M (1962) Introduction to design. Prentice-Hall, Englewood CliffsGoogle Scholar
- Casakin H, Badke-Schaub P (2015) Mental models and creativity in engineering and architectural design teams. In: Gero J, Hanna S (eds) Design computing and cognition’14. Springer, Cham, pp 155–171Google Scholar
- Cross N (2001) Design cognition: results from protocol and other empirical studies of design activity. In: Newstatter W, McCracken M (eds) Design knowing and learning: cognition in design education. Elsevier, Oxford, pp 79–103Google Scholar
- Eckert C, Clarkson J (2005) The reality of design. In: Clarkson J, Eckert C (eds) Design process improvement: a review of current practice. Springer, London, pp 1–29Google Scholar
- Gero JS, Kan JWT (2016) Scientific models from empirical design research. In: Cash P, Stanković T, Štorga M (eds) Experimental design research. Springer, Cham, pp 253–270Google Scholar
- Goldschmidt G (2014) Linkography: unfolding the design process. The MIT, CambridgeGoogle Scholar
- Jiang H, Gero JS, Yen CC (2014) Exploring designing styles using a problem-solution division. In: Gero JS (ed) Design computing and cognition’12. Springer, Dordrecht, pp 79–94Google Scholar
- Kan JWT, Gero JS, Tang HH (2011) Measuring cognitive design activity changes during an industry team brainstorming session. In: Gero JS (ed) Design computing and cognition’10. Springer, Dordrecht, pp 621–640Google Scholar
- Lawson B, Dorst K (2009) Design expertise, 1st edn. Routledge, LondonGoogle Scholar
- Maher ML, Poon J, Boulanger S (1996) Formalising design exploration as co-evolution: a combined gene approach. In: Gero JS, Sudweeks F (eds) Advances in formal design methods for CAD. IFIP—the international federation for information processing. Springer, Boston, pp 3–30Google Scholar
- McMahon C (2015) Design informatics: supporting engineering design processes with information technology. J Indian Inst Sci 95(4):365–377Google Scholar
- McTeague C, Duffy A, Campbell G et al (2017) An exploration of design synthesis. In: Maier A, Škec S, Kim H et al (eds) Proceedings of the 21st international conference on engineering design (ICED 17) vol 8: human behaviour in design. The Design Society, Glasgow, pp 279–288Google Scholar
- Roozenburg NFM, Eekels J (1995) Product design: fundamentals and methods, 2nd edn. Wiley, ChichesterGoogle Scholar
- Watts RD (1966) The elements of design. In: Gregory SA (ed) The design method. Springer, Boston, pp 85–95Google Scholar
- Wodehouse AJ, Ion WJ (2010) Information use in conceptual design: existing taxonomies and new approaches. Int J Des 4(3):53–65Google Scholar
- Wynn D, Clarkson J (2005) Models of designing. In: Clarkson J, Eckert C (eds) Design process improvement: a review of current practice. Springer, London, pp 34–59Google Scholar