Skip to main content

A Computational Framework for the Study of Creativity and Innovation in Design: Effects of Social Ties

  • Conference paper
Design Computing and Cognition ’04

Abstract

This paper describes a socio-cognitive framework to study the interaction between designers and social groups. Experimentation with situational factors of creativity is presented. In particular, social ties in a population of adopters are shown to shape the way in which designers are considered as change agents of their societies.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Amabile, TM: 1983, The Social Psychology of Creativity, Springer-Verlag, New York.

    Book  Google Scholar 

  • Argyle, M, Furnham, A and Graham JA: 1981, Social Situations, Cambridge University Press, Cambridge.

    Book  Google Scholar 

  • Asch, SE: 1951, Effects of group pressures upon the modification and distortion of judgment, in H Guetzkow (ed), Groups, Leadership, and Men, Carnegie Press, Pittsburgh, pp. 177–190.

    Google Scholar 

  • Boden, M: 1999, Computer models of creativity, in R Sternberg (ed), Handbook of Creativity, Cambridge University Press, Cambridge, pp.351–372.

    Google Scholar 

  • Conte R, Edmonds B, Moss S and Sawyer RK: 2001, Sociology and social theory in agent based social simulation, Computational and Mathematical Organization Theory 7(4): 183–205.

    Article  Google Scholar 

  • Dorfman, R: 1979, Formula for Gini coefficient, Review of Economics Statistics 61: 146–9.

    Article  MathSciNet  Google Scholar 

  • Eysenck, HJ: 1991, Dimensions of personality, Personality and Individual Differences 12: 773–90.

    Article  Google Scholar 

  • Feldman, DH, Csikszentmihalyi, M, and Gardner, H: 1994, Changing the World, A Framework for the Study of Creativity, Praeger, Westport.

    Google Scholar 

  • Gardner, H: 1993, Creating Minds, An Anatomy of Creativity Seen Through the Lives of Freud, Einstein, Picasso, Stravinsky, Eliot, Graham and Gandhi, Basic Books, New York

    Google Scholar 

  • Gero, JS: 1996, Creativity, emergence and evolution in design: concepts and framework, Knowledge-Based Systems 9(7): 435–448.

    Article  Google Scholar 

  • Goel, V: 1994, A comparison of design and nondesign problem spaces, Artificial Intelligence in Engineering 9(1): 53–72.

    Article  Google Scholar 

  • Granovetter, MS: 1973, The strength of weak ties, American Journal of Sociology 78(6): 1360–80.

    Article  Google Scholar 

  • Howe, MJA, Davidson, JW, and Sloboda, JA: 1999, Innate traits: reality or myth?, in SJ Ceci and WM Williams (eds), The Nature-Nurture Debate, The Essential Readings, Blackwell, Malden, pp. 258–289.

    Google Scholar 

  • Marsden, PV and Campbell, K: 1984, Measuring tie strength, Social Forces 63(2): 482–501.

    Google Scholar 

  • Nattermann, PM: 2000, Best practice does not equal best strategy, The McKinsey Quarterly 2000(2): 38–45.

    Google Scholar 

  • Rogers, EM: 1995, Diffusion of Innovations, The Free Press, New York.

    Google Scholar 

  • Ross, L and Nisbett, R: 1991, The Person and the Situation, McGraw-Hill, New York.

    Google Scholar 

  • Runco, M and Pritzker, S (eds): 1999, Encyclopedia of Creativity, AcademicPress, San Diego.

    Google Scholar 

  • Saunders, R and Gero, JS: 2001, The digital clockwork muse, in G Wiggins (ed), AISB’01 Symposium on AI and Creativity in Arts and Science, University of York, York, pp.12–21.

    Google Scholar 

  • Schelling, K: 1971, Dynamic models of segregation, Mathematical Sociology1: 143–186.

    Article  Google Scholar 

  • Simon, HA: 2001, Creativity in the arts and the sciences, The Kenyon Review 23(2): 203–221.

    Google Scholar 

  • Simonton, DK: 2000, Creative development as acquired expertise: theoretical issues and an empirical test, Developmental Review 20: 283–318.

    Article  Google Scholar 

  • Sosa, R and Gero, JS: 2003, Social change: exploring design influence, in D Hales, B Edmonds, E Norling and J Rouchier (eds), Multi-Agent Based Simulation III, Lecture Notes in Artificial Intelligence, 2927, Springer, Berlin, pp. 106–119.

    Chapter  Google Scholar 

  • Wasserman, S and Faust, K: 1994, Social Network Analysis: Methods and Applications, Cambridge University Press, Cambridge.

    Book  Google Scholar 

  • Wooldridge, M: 2000, Reasoning About Rational Agents, MIT Press, Cambridge.

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer Science+Business Media Dordrecht

About this paper

Cite this paper

Sosa, R., Gero, J.S. (2004). A Computational Framework for the Study of Creativity and Innovation in Design: Effects of Social Ties. In: Gero, J.S. (eds) Design Computing and Cognition ’04. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-2393-4_26

Download citation

  • DOI: https://doi.org/10.1007/978-1-4020-2393-4_26

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-6650-3

  • Online ISBN: 978-1-4020-2393-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics