Empirically grounding the evaluation of creative systems: Incorporating interaction design

Proceedings of the 5th International Conference on Computational Creativity, ICCC 2014

Volumn , Issue , 2014, Pages

  Bown, Oliver ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BEHAVIORAL RESEARCH; ELECTRIC GROUNDING; USER EXPERIENCE; USER INTERFACES;

ARTIFICIAL CREATIVE SYSTEMS; CREATIVE SYSTEMS; CULTURAL CONTEXT; CULTURAL MODELS; EVALUATION FRAMEWORK; INCREMENTAL DEVELOPMENT; INTERACTION DESIGN; METHODOLOGICAL TOOLS;

PETROLEUM RESERVOIR EVALUATION;

EID: 85086288018     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (31)

1. Boden, M. 1990. The Creative Mind. George Weidenfeld and Nicholson Ltd.
2. Bown, O. 2012. Generative and adaptive creativity. In McCormack, J., and d’Inverno, M., eds., Computers and Creativity. Berlin: Springer. 361–381.
3. Brown, P. 2009. Autonomy, signature and creativity. In McCormack, J., and d’Inverno, M., eds., Dagstuhl Seminar Proceedings 09291: Computational Creativity: An Interdisciplinary Approach, 1–7.
4. Cardoso, A.; Veale, T.; and Wiggins, G. A. 2009. Converging on the divergent: The history (and future) of the international joint workshops in computational creativity. AI Magazine 30(3):15.
5. Charnley, J.; Pease, A.; and Colton, S. 2012. On the notion of framing in computational creativity. In Proceedings of the Third International Conference on Computational Creativity, 77–82.
6. Colton, S.; Pease, A.; and Ritchie, G. 2001. The effect of input knowledge on creativity. In Case-based reasoning: Papers from the workshop programme at ICCBR, volume 1.
7. Colton, S. 2008. Creativity versus the perception of creativity in computational systems. In AAAI Spring Symposium: Creative Intelligent Systems, 14–20.
8. Csikszentmihalyi, M. 1999. Implications of a systems perspective for the study of creativity. In Sternberg, R. J., ed., The Handbook of Creativity. New York: Cambridge University Press. 313–335.
9. Diamond, J. 1987. Soft sciences are often harder than hard sciences. Discover 8(8):34–39.
10. DiPaola, S.; McCaig, G.; Carlson, K.; Salevati, S.; and Sorenson, N. 2013. Adaptation of an autonomous creative evolutionary system for real-world design application based on creative cognition. In Proceedings of the Fourth International Conference on Computational Creativity, 40–48.
11. Feynman, R. 1974. Cargo cult science. Available from http://neurotheory.columbia.edu/ken/cargo.cult.html.
12. Geertz, C. 1973. The Interpretation of Cultures. New York: Basic Books.
13. Goldkuhl, G. 2004. Design theories in information systems-a need for multi-grounding. Journal of Information Technology Theory and Application (JITTA) 6(2):7.
14. Hargreaves, D. J., and North, A. C. 1999. The functions of music in everyday life: Redefining the social in music psychology. Psychology of Music 27(1):71–83.
15. Hassenzahl, M., and Tractinsky, N. 2006. User experience-a research agenda. Behaviour & Information Technology 25(2):91–97.
16. Jordanous, A. 2011. Evaluating evaluation: Assessing progress in computational creativity research. In Proceedings of the second international conference on computational creativity (ICCC-11). Mexico City, Mexico, 102–107.
17. Kowaliw, T.; Dorin, A.; and McCormack, J. 2012. Promoting creative design in interactive evolutionary computation. IEEE transactions on evolutionary computation 16(4):523.
18. Lehman, J., and Stanley, K. 2011. Abandoning objectives: Evolution through the search for novelty alone. Evolutionary Computation 19(2):189–223.
19. Nature. 2005. In praise of soft science. Nature 6(23):1003.
20. Newman, G. E., and Bloom, P. 2012. Art and authenticity: The importance of originals in judgments of value. Journal of Experimental Psychology: General 141(3):558.
21. Pereira, F. C.; Mendes, M.; Gervás, P.; and Cardoso, A. 2005. Experiments with assessment of creative systems: an application of Ritchie’s criteria. In Proceedings of the workshop on computational creativity, 19th international joint conference on artificial intelligence.
22. Plotkin, R. 2009. The genie in the machine: how computer-automated inventing is revolutionizing law and business. Stanford University Press.
23. Ritchie, G. 2001. Assessing creativity. In Wiggins, G. A., ed., Proc. of AISB’01 Symposium.
24. Ritchie, G. 2006. The transformational creativity hypothesis. New Generation Computing 24(3):241–266.
25. Ritchie, G. 2007. Some empirical criteria for attributing creativity to a computer program. Minds and Machines 17(1):67–99.
26. Rogers, Y.; Preece, J.; and Sharp, H. 2007. Interaction design.
27. Salganik, M. J.; Dodds, P. S.; and Watts, D. J. 2006. Experimental study of inequality and unpredictability in an artificial cultural market. science 311(5762):854–856.
28. Smith, K. 2012. From dividual and individual selves to porous subjects. The Australian Journal of Anthropology 23(1):50–64.
29. Thompson, D. W. 1992. On Growth and Form. Dover.
30. Ventura, D. 2008. A reductio ad absurdum experiment in sufficiency for evaluating (computational) creative systems. In Proceedings of the 5th international joint workshop on computational creativity. Madrid, Spain, 11–19.
31. Wiggins, G. A. 2006. Searching for computational creativity. New Generation Computing 24(3):209–222.