DocumentCode :
1312874
Title :
Examining the Use of a Visual Analytics System for Sensemaking Tasks: Case Studies with Domain Experts
Author :
Youn-ah Kang ; Stasko, John
Volume :
18
Issue :
12
fYear :
2012
Firstpage :
2869
Lastpage :
2878
Abstract :
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.
Keywords :
data visualisation; inference mechanisms; domain expert; formal evaluation; sensemaking task; visual analytics system; Data visualization; Electronic mail; Market research; Qualitative analysis; Visual analytics; Visual analytics; case study; qualitative evaluation;
fLanguage :
English
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
Publisher :
ieee
ISSN :
1077-2626
Type :
jour
DOI :
10.1109/TVCG.2012.224
Filename :
6327293
Link To Document :
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