Erin Cherry
Celine Latulipe
Abstract
Creativity support tools help people engage creatively with the world, but measuring how well a tool supports creativity is challenging since creativity is ill-defined. To this end, we developed the Creativity Support Index (CSI), which is a psychometric survey designed for evaluating the ability of a creativity support tool to assist a user engaged in creative work. The CSI measures six dimensions of creativity support: Exploration, Expressiveness, Immersion, Enjoyment, Results Worth Effort, and Collaboration. The CSI allows researchers to understand not just how well a tool supports creative work overall, but what aspects of creativity support may need attention. In this article, we present the CSI, along with scenarios for how it can be deployed in a variety of HCI research settings and how the CSI scores can help target design improvements. We also present the iterative, rigorous development and validation process used to create the CSI.
- Robert S. Albert and Mark A. Runco. 1999. A history of research on creativity. In Handbook of Creativity. Springer.Google Scholar
- Teresa M. Amabile. 1996. Creativity in Context: Update to the Social Psychology of Creativity. Westview Press.Google Scholar
- Ronald A. Beghetto and James C. Kaufman. 2007. Toward a broader conception of creativity: A case for “mini-c” creativity. Psychology of Aesthetics, Creativity, and the Arts 1, 2, 73--79.Google ScholarCross Ref
- Margaret A. Boden. 2004. The Creative Mind: Myths and Mechanisms. Psychology Press. Google ScholarDigital Library
- Linda Candy. 2013. Evaluating creativity. In Creativity and Rationale: Enhancing Human Experience by Design. Springer.Google Scholar
- Erin A. Carroll and Celine Latulipe. 2009. The creativity support index. In ACM CHI 2008 Extended Abstracts. Google ScholarDigital Library
- Erin A. Carroll and Celine Latulipe. 2012. Triangulating the personal creative experience: Self-Report, external judgments, and physiology. In Proceedings of Graphics Interface 2012. Google ScholarDigital Library
- Erin A. Carroll, Celine Latulipe, Richard Fung, and Michael Terry. 2009. Creativity factor evaluation: Towards a standardized survey metric for creativity support. In Proceedings of ACM Creativity & Cognition 2009. Google ScholarDigital Library
- Mihaly Csikszentmihalyi. 1997. Creativity: Flow and the Psychology of Discovery and Invention. Harper Perennial.Google Scholar
- Richard Fung, E. Lank, Michael Terry, and Celine Latulipe. 2008. Kinematic templates: End-user tools for content-relative cursor manipulations. In Proceedings of ACM UIST’08. Google ScholarDigital Library
- Berto Gonzalez and Celine Latulipe. 2011. BiCEP: Bimanual color exploration plugin. In ACM CHI’11 Extended Abstracts. Google ScholarDigital Library
- J. P. Guilford. 2001. Creative Projects with LEGO Mindstorms. Addison-Wesley Professional. Google ScholarDigital Library
- Sandra G. Hart. 2006. NASA task load index (NASA TLX): 20 Years Later. In Human Factors and Ergonomics Society Annual Meeting Proceedings.Google ScholarCross Ref
- Sandra G. Hart and Lowell E. Staveland. 1988. Development of NASA-TLX (task load index): Results of empirical and theoretical research. Human Mental Workload (1988).Google Scholar
- Tom Hewett, Mary Czerwinkski, Michael Terry, Jay Nunamaker, Linda Candy, Bill Kulers, and Elisabeth Sylvan. 2005. Creativity support tool evaluation methods and metrics. In NSF Workshop Report on Creativity Support Tools.Google Scholar
- Dennis Hocevar. 1979. Ideational fluency as a confounding factor in the measurement of originality. Journal of Educational Psychology 71, 2, 191--196.Google ScholarCross Ref
- Dennis Hocevar and Patricia Bachelor. 1989. A taxonomy and critique of measurements used in the study of creativity. In Handbook of Creativity. Springer.Google Scholar
- Michael J. A. Howe. 2000. Genius Explained. Cambridge University Press.Google Scholar
- H. F. Kaiser. 1960. The application of electronic computers to factor analysis. Educational and Psychological Measurement 20, 141--151.Google ScholarCross Ref
- James C. Kaufman and Ronald A. Beghetto. 2009. Beyond big and little: The four c model of creativity. Review of General Psychology 13, 1, 1--12.Google ScholarCross Ref
- Andruid Kerne, Steven M. Smith, Eunyee Koh, Hyun Choi, and Ross Graeber. 2008. An Experimental Method for Measuring the Emergence of New Ideas in Information Discovery. International Journal of Human-Computer Interaction 24(5), 460--477.Google ScholarCross Ref
- M. J. Kim and Mary Lou Maher. 2005. Comparison of Designers Using a Tangible User Interface and a Graphical User Interface and the Impact on Spatial Cognition. Technical Report.Google Scholar
- Celine Latulipe. 2013. The value of research in creativity and the arts. In Proceedings of ACM Creativity and Cognition’13. Google ScholarDigital Library
- Celine Latulipe, Ian Bell, C. Clarke, and C. Kaplan. 2006. symTone: Two-handed manipulation of tone reproduction curves. In Proceedings of GI’06. Google ScholarDigital Library
- J. Read, S. MacFarlane, and C. Casey. 2002. Endurability, engagement, and expectations: Measuring children’s fun. In IDC’02.Google Scholar
- Ben Shneiderman. 2007. Creativity support tools: Accelerating discovery and innovation. Commun. ACM 50, 12, 20--32. Google ScholarDigital Library
- B. Shneiderman, G. Fischer, and M. Czerwinski. 2006. Creativity support tools: Report from a US National Science Foundation sponsored workshop. International Journal of Human-Computer Interaction 20, 2, 61--77.Google ScholarCross Ref
Index Terms
- Quantifying the Creativity Support of Digital Tools through the Creativity Support Index
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