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Predicting successful completion of online collaborative animation projects
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Creativity and Cognition archive
Proceeding of the seventh ACM conference on Creativity and cognition table of contents
Berkeley, California, USA
POSTER SESSION: Posters table of contents
Pages 391-392  
Year of Publication: 2009
ISBN:978-1-60558-865-0
Authors
Kurt Luther  Georgia Institute of Technology, Atlanta, GA, USA
Kevin Ziegler  Georgia Institute of Technology, Atlanta, GA, USA
Kelly E. Caine  Georgia Institute of Technology, Atlanta, GA, USA
Amy Bruckman  Georgia Institute of Technology, Atlanta, GA, USA
Sponsor
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

Online creative collaboration projects are started every day, but many fail to produce new artifacts of value. In this poster, we address the question of why some of these projects succeed and others fail. Our quantitative analysis of 892 online collaborative animation projects, or "collabs," indicates that the early presence of organizational and structural elements, particularly those of a technical nature, can predict successful completion.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Luther, K. and Bruckman, A. Leadership in online creative collaboration. Proc. CSCW 2008, ACM (2008), 343--352.
 
2
Peng, C. J. and So, T. H. Logistic Regression Analysis and Reporting: A Primer. Understanding Statistics 1, 1 (2002), 31--70.
 
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Soloway, E., Guzdial, M., and Hay, K. E. Learner-centered design: the challenge for HCI in the 21st century. interactions 1, 2 (1994), 36--48.