Examining the Use of a Visual Analytics System for Sensemaking Tasks: Case Studies with Domain Experts
Issue No. 12 - Dec. (2012 vol. 18)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2012.224
Youn-ah Kang , Google Inc.
John Stasko , Georgia Institute of Technology
While the formal evaluation of systems in visual analytics is still relatively uncommon, particularly rare are case studies of prolonged system use by domain analysts working with their own data. Conducting case studies can be challenging, but it can be a particularly effective way to examine whether visual analytics systems are truly helping expert users to accomplish their goals. We studied the use of a visual analytics system for sensemaking tasks on documents by six analysts from a variety of domains. We describe their application of the system along with the benefits, issues, and problems that we uncovered. Findings from the studies identify features that visual analytics systems should emphasize as well as missing capabilities that should be addressed. These findings inform design implications for future systems.
Visual analytics, Qualitative analysis, Electronic mail, Data visualization, Market research, qualitative evaluation, Visual analytics, case study
Y. Kang and J. Stasko, "Examining the Use of a Visual Analytics System for Sensemaking Tasks: Case Studies with Domain Experts," in IEEE Transactions on Visualization & Computer Graphics, vol. 18, no. , pp. 2869-2878, 2012.