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Making Sense of Design Space

What Designers Do with Large Numbers of Alternatives?

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Computer-Aided Architectural Design. Future Trajectories (CAADFutures 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 724))

Abstract

Today’s generative design tools and large screen displays present opportunities for designers to explore large number of design alternatives. Besides numerous studies in design, the act of exploring design space is yet to be integrated in the design of new digital media. To understand how designer’s search patterns will uncover when provided with a gallery of large numbers of design solutions, we conducted a lab experiment with nine designers. Particularly the study explored how designers used spatial structuring of their work environment to make informed design decisions. The results of the study present intuitions for development of next generation front-end gallery interfaces for managing a large set of design variations while enabling simultaneous editing of design parameters.

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Notes

  1. 1.

    Buxton (2007) defines a sketch-like characteristic as, quick, inexpensive, disposable, clear, distinct and minimal; which is appropriately ambiguous to suggest and explore designs rather than confirming one early on.

  2. 2.

    CAD: Computer-Aided Design.

  3. 3.

    Order 4 Bezier curve.

  4. 4.

    Random sampling: every individual has equal chance of being selected. Purposeful sampling: individuals are selected because they have experienced the central phenomenon.

References

  1. Akin, O.: Variants in design cognition. In: Eastman, C., Newstetter, W., McCracken, M. (eds.) Design Knowing and Learning: Cognition in Design Education, pp. 1–17. Elsevier, New York (2001)

    Google Scholar 

  2. Buxton, B., Buxton, W.: Sketching User Experiences: Getting the Design Right and the Right Design, p. 115. Diane Cerra (2007)

    Google Scholar 

  3. Clark, A., Chalmers, D.: The extended mind. Analysis 58(1), 7–19 (1998)

    Article  Google Scholar 

  4. Cross, N.: Design cognition: results from protocol and other empirical studies of design activity. In: Eastman, C., McCracken, M., Newstetter, M. (eds.) Design Knowing and Learning: Cognition in Design Education, pp. 79–103. Elsevier Science, Amsterdam (2001)

    Chapter  Google Scholar 

  5. Dow, S., Glassco, A., Kass, J., Schwarz, M., Schwartz, D., Klemmer, S.: Parallel prototyping leads to better design results, more divergence, and increased self-efficacy. ACM Trans. Comput. Hum. Interact. 17(4) (2010). Article 18

    Google Scholar 

  6. Eastman, C.M.: On the analysis of intuitive design processes. Master thesis, Department of Computer Science, Carnegie-Mellon University, pp. 21–37 (1968, submitted)

    Google Scholar 

  7. Eisentraut, R.: Styles of problem solving and their influence on the design process. Des. Stud. 20(5), 431–443 (1999)

    Article  Google Scholar 

  8. Erhan, H., Wang, I., Shireen, N.: Harnessing design space: a similarity-based exploration method for generative design. Int. J. Archit. Comput. 13(2), 217–236 (2015)

    Article  Google Scholar 

  9. Foz, A.: Some observations on designer behavior in the parti. Master thesis, Department of Urban Studies and Planning, Massachusetts Institute of Technology, p. 151 (1972, submitted)

    Google Scholar 

  10. Hollan, J., Hutchins, E., Kirsh, D.: Distributed cognition: toward a new foundation for human-computer interaction research. ACM Trans. Comput. Hum. Interact. 7(2), 174–196 (2000)

    Article  Google Scholar 

  11. Iyengar, S.S., Lepper, M.R.: When choice is demotivating: can one desire too much of a good thing? J. Pers. Soc. Psychol. 79(6), 995 (2000)

    Article  Google Scholar 

  12. Marks, J., Andalman, B., Beardsley, P.A., Freeman, W., Gibson, S., Hodgins, J., Kang, T., Mirtich, B., Pfister, H., Ruml, W., Ryall, K., Seims, J., Shieber, S.: Design galleries: a general approach to setting parameters for computer graphics and animation. In: Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH 1997), pp. 389–400. ACM Press/Addison-Wesley Publishing Co., New York (1997)

    Google Scholar 

  13. Kirsh, D.: The intelligent use of space. Artif. Intell. 73(1–2), 31–68 (1995)

    Article  Google Scholar 

  14. Lave, J.: Cognition in Practice: Mind, Mathematics, and Culture in Everyday Life. Cambridge University Press, New York (1988)

    Book  Google Scholar 

  15. Lunzer, A., Hornbæk, K.: Subjunctive interfaces: extending applications to support parallel setup, viewing and control of alternative scenarios. ACM Trans. Comput. Hum. Interact. 14(4), 1–44 (2008)

    Article  Google Scholar 

  16. Newell, A., Simon, H.A.: Human Problem Solving. Prentice-Hall, Englewood Cliffs (1972)

    Google Scholar 

  17. Norman, D.A., Draper, S.W.: User Centered System Design: New Perspectives on Human-Computer Interaction, vol. 3, p. 43. Erlbaum Associates Inc., Hillsdale (1986)

    Google Scholar 

  18. Schön, D.A.: The Reflective Practitioner. Temple-Smith, London (1983)

    Google Scholar 

  19. Simon, H.A.: The Sciences of the Artificial, 1st edn. MIT Press, Cambridge (1969)

    Google Scholar 

  20. Smith, B., Xu, A., Bailey, B.: Improving interaction models for generating and managing alternative ideas during early design work. In: Proceedings of Graphics Interface 2010 (GI 2010), pp. 121–128. Canadian Information Processing Society, Toronto (2010)

    Google Scholar 

  21. Terry, M., Mynatt, E.D., Nakakoji, K., Yamamoto, Y.: Variation in element and action: supporting simultaneous development of alternative solutions. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2004), pp. 711–718. ACM, New York (2004)

    Google Scholar 

  22. Woodbury, R.: Elements of Parametric Design. Rutledge, London (2010)

    Google Scholar 

  23. Woodbury, R.F., Burrow, A.L.: Whither design space? AI EDAM 20(02), 63–82 (2006)

    Google Scholar 

  24. Yasuhiro, Y., Kumiyo, N.: Interaction design of tools for fostering creativity in the early stages of information design. Int. J. Hum. Comput. Stud. 63(4–5), 513–535 (2005)

    Google Scholar 

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Correspondence to Naghmi Shireen .

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Shireen, N., Erhan, H., Woodbury, R., Wang, I. (2017). Making Sense of Design Space. In: Çağdaş, G., Özkar, M., Gül, L., Gürer, E. (eds) Computer-Aided Architectural Design. Future Trajectories. CAADFutures 2017. Communications in Computer and Information Science, vol 724. Springer, Singapore. https://doi.org/10.1007/978-981-10-5197-5_11

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  • DOI: https://doi.org/10.1007/978-981-10-5197-5_11

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