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Linkographic Analysis of Design Ideation Session: Idea Graph Representation and Additional Tools for Analysis

  • Abdellatif Dkhil
  • Mickael Gardoni
  • Lamine Belgacem
  • Remy Houssin
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 540)

Abstract

Linkography is a method for analysis of ideation process in the conceptual design stage. This method has been used to provide information about the ideation session, to investigate the structure of idea generation process and to compare idea session productivity. The progress of an ideation session is made observable through the analysis of connection between ideas. The main goal of this paper is to improve the analysis of idea generation session. Through the use of graph theory for visualizing and analyzing the connection between ideas.

Keywords

Linkography Conceptual design Ideation Graph Analysis tools 

References

  1. 1.
    Escandón-Quintanilla, M.-L., Gardoni, M., Cohendet, P.: Big data analytics as input for problem definition and idea generation in technological design. In: Harik, R., Rivest, L., Bernard, A., Eynard, B., Bouras, A. (eds.) PLM 2016. IAICT, vol. 492, pp. 468–477. Springer, Cham (2016).  https://doi.org/10.1007/978-3-319-54660-5_42CrossRefGoogle Scholar
  2. 2.
    Goldschmidt, G.: Linkography: assessing design productivity, pp. 291–298 (1990)Google Scholar
  3. 3.
    Goldschmidt, G., Weil, M.: Contents and structure in design reasoning. Des. Issues 14(3), 85–100 (1998).  https://doi.org/10.2307/1511899CrossRefGoogle Scholar
  4. 4.
    Goldschmidt, G.: Cognitive economy in design reasoning. In: Lindemann, U. (ed.) Human Behaviour in Design, pp. 53–62. Springer, Heidelberg (2003).  https://doi.org/10.1007/978-3-662-07811-2_6CrossRefGoogle Scholar
  5. 5.
    Goldschmidt, G., Tatsa, D.: How good are good ideas? Correlates of design creativity. Des. Stud. 26(6), 593–611 (2005).  https://doi.org/10.1016/j.destud.2005.02.004CrossRefGoogle Scholar
  6. 6.
    Goldschmidt, G., Hochman, H., Dafni, I.: The design studio “crit”: teacher–student communication. Artif. Intell. Eng. Des. Anal. Manuf. 24(3), 285–302 (2010).  https://doi.org/10.1017/S089006041000020XCrossRefGoogle Scholar
  7. 7.
    Goldschmidt, G.: Linkographic evidence for concurrent divergent and convergent thinking in creative design. Creat. Res. J. 28, 115–122 (2016).  https://doi.org/10.1080/10400419.2016.1162497CrossRefGoogle Scholar
  8. 8.
    Wu, P.-F., Yen, J., Fan, K.-Y.: Investigating the design behavior of animation expert-the difference of idea links mode on story ideation. Bull. Jpn. Soc. Sci. Des. 57(5), 27–36 (2011).  https://doi.org/10.11247/jssdj.57.27_2CrossRefGoogle Scholar
  9. 9.
    van der Lugt, R.: How sketching can affect the idea generation process in design group meetings. Des. Stud. 26(2), 101–122 (2005).  https://doi.org/10.1016/j.destud.2004.08.003CrossRefGoogle Scholar
  10. 10.
    Kan, J., Gero, J.: Design behaviour measurement by quantifying linkography in protocol studies of designing. In: Human Behaviour in Design 2005, Key Centre of Design Computing and Cognition, University of Sydney (2005)Google Scholar
  11. 11.
    Kan, J., Gero, J.: Quantitative methods for studying design protocols (2017)Google Scholar
  12. 12.
    Kan, J.W., Bilda, Z., Gero, J.S.: Comparing entropy measures of idea links in design protocols. In: Gero, J.S. (ed.) Design Computing and Cognition 2006, pp. 265–284. Springer, Dordrecht (2006).  https://doi.org/10.1007/978-1-4020-5131-9_14CrossRefGoogle Scholar
  13. 13.
    Bilda, Z., Gero, J.S., Purcell, T.: To sketch or not to sketch? That is the question. Des. Stud. 27(5), 587–613 (2006)CrossRefGoogle Scholar
  14. 14.
    Bilda, Z., Gero, J.S.: Idea development can occur using imagery only. In: Gero, J.S., Goel, A.K. (eds.) Design Computing and Cognition 2008, pp. 303–320. Springer, Dordrecht (2008).  https://doi.org/10.1007/978-1-4020-8728-8_16CrossRefGoogle Scholar
  15. 15.
    Van der Lugt, R.: Sketching in design idea generation meetings. In: Industrial Design Engineering. Delft University of Technology, Netherlands (2001)Google Scholar
  16. 16.
    Van der Lugt, R.: Functions of sketching in design idea generation meetings. In: Proceedings of the 4th Conference on Creativity & Cognition, Loughborough, UK, pp. 72–79. ACM (2002).  https://doi.org/10.1145/581710.581723
  17. 17.
    Perry, G.T., Krippendorff, K.: On the reliability of identifying design moves in protocol analysis. Des. Stud. 34(5), 612–635 (2013)CrossRefGoogle Scholar
  18. 18.
    Kan, J.W.T., Gero, J.S.: Acquiring information from linkography in protocol studies of designing. Des. Stud. 29(4), 315–337 (2008)CrossRefGoogle Scholar
  19. 19.
    Cai, H., Do, E.Y.-L., Zimring, C.M.: Extended linkography and distance graph in design evaluation: an empirical study of the dual effects of inspiration sources in creative design. Des. Stud. 31(2), 146–168 (2010).  https://doi.org/10.1016/j.destud.2009.12.003CrossRefGoogle Scholar
  20. 20.
    van der Lugt, R., van der Graaf, A.: Context indicators for determining links between design ideas. In: Dubrovnik, M.D. (ed.) DS 30: Proceedings of DESIGN 2002, the 7th International Design Conference, Dubrovnik, pp. 261–266 (2002)Google Scholar
  21. 21.
    Goldschmidt, G.: Criteria for design evaluation: a process-oriented paradigm. In: Kalay, Y.E. (ed.) Principles of Computer-Aided Design: Evaluating and Predicting Design Performance, pp. 67–79. Wiley, New York (1992)Google Scholar
  22. 22.
    Ardaiz-Villanueva, O., et al.: Evaluation of computer tools for idea generation and team formation in project-based learning. Comput. Educ. 56(3), 700–711 (2011).  https://doi.org/10.1016/j.compedu.2010.10.012CrossRefGoogle Scholar
  23. 23.
    Kan, J., Gero, J.S.: Can entropy indicate the richness of idea generation in team designing? In: Digital Opportunities: Proceedings of the 10th International Conference on Computer-Aided Architectural Design Research in Asia, vol. 1, pp. 451–457. Architexturez Imprints, New Delhi (2005)Google Scholar
  24. 24.
    Jiand, Z., Marc, B., Roland, D.G.: Quasi-source heuristic for the production line formation of manufacturing system. J. Integr. Des. Process. Sci. 7(1), 25–58 (2003)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2018

Authors and Affiliations

  • Abdellatif Dkhil
    • 1
  • Mickael Gardoni
    • 1
  • Lamine Belgacem
    • 2
  • Remy Houssin
    • 3
  1. 1.ETS MontréalMontrealCanada
  2. 2.Bombardier CanadaDorvalCanada
  3. 3.INSA StrasbourgStrasbourgFrance

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