Evaluating the Effectiveness of Tree Visualization Systems for Knowledge Discovery

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dc.contributor.authorWang, Yueen_US
dc.contributor.authorTeoh, Soon Teeen_US
dc.contributor.authorMa, Kwan-Liuen_US
dc.contributor.editorBeatriz Sousa Santos and Thomas Ertl and Ken Joyen_US
dc.date.accessioned2014-01-31T07:05:13Z
dc.date.available2014-01-31T07:05:13Z
dc.date.issued2006en_US
dc.description.abstractUser studies, evaluations, and comparisons of tree visualization systems have so far focused on questions that can readily be answered by simple, automated queries without needing visualization. Studies are lacking on the actual use of tree visualization in discovering intrinsic, hidden, non-trivial and potentially valuable knowledge. We have thus formulated a set of tree exploration tasks not previously considered and have performed user studies and analysis to determine how visualization helps users to perform these tasks. In our study, we evaluated three systems: RINGS (a node-link representation), Treemap (a containment representation), and Windows Explorer. Our findings suggest a few ways that tree visualization helps users to perceive different aspects of hierarchical structured information. We then explain how these visual representations are able to trigger human perception to make these discoveries.en_US
dc.description.seriesinformationEUROVIS - Eurographics /IEEE VGTC Symposium on Visualizationen_US
dc.identifier.isbn3-905673-31-2en_US
dc.identifier.issn1727-5296en_US
dc.identifier.urihttps://doi.org/10.2312/VisSym/EuroVis06/067-074en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.6 [Methodology and Techniques]: Interaction techniques; H.5.2 [User Interfaces]: Evaluation/methodologyen_US
dc.titleEvaluating the Effectiveness of Tree Visualization Systems for Knowledge Discoveryen_US
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