In this paper, we examine reviews for the entries to the 2009 Visual Analytics Science and Technology (VAST) Challenge. By analyzing these reviews we gained a better understanding of what is important to our reviewers, both visualization researchers and professional analysts. This is a bottom up approach to the development of heuristics to use in the evaluation of visual analytic environments. The meta-analysis and the results are presented in this paper.
Revised: July 22, 2010 |
Published: April 10, 2010
Citation
Scholtz J. 2010.Developing Qualitative Metrics for Visual Analytic Environments. In BELIV '10: BEyond time and errors: novel evaLuation methods for Information Visualization, A Workshop of the ACM CHI Conference, April 10-11, 2010, Atlanta, Georgia. New York, New York:Association for Computing Machinery. PNWD-SA-8807.