Examining the Use of a visual analytics system for sensemaking tasks: Case studies with domain experts

Youn Ah Kang, John Stasko

Research output: Contribution to journalArticlepeer-review

34 Citations (Scopus)


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.

Original languageEnglish
Article number6327293
Pages (from-to)2869-2878
Number of pages10
JournalIEEE Transactions on Visualization and Computer Graphics
Issue number12
Publication statusPublished - 2012

Bibliographical note

Funding Information:
We thank our six professionals for sharing their experience with Jigsaw. This work was supported by the National Science Foundation under awards IIS-0915788, CCF-0808863, and the VACCINE Center, a Department of Homeland Security’s Center of Excellence in Command, Control and Interoperability.

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design


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