Evaluating the effectiveness of tree visualization systems for knowledge discovery

  • Authors:
  • Yue Wang;Soon Tee Teoh;Kwan-Liu Ma

  • Affiliations:
  • Computer Science Department, University of California, Davis;Department of Computer Science, San Jose State University;Computer Science Department, University of California, Davis

  • Venue:
  • EUROVIS'06 Proceedings of the Eighth Joint Eurographics / IEEE VGTC conference on Visualization
  • Year:
  • 2006

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Abstract

User 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.