Visual quality metrics

  • Authors:

  • Enrico Bertini;Giuseppe Santucci

  • Affiliations:

  • University of Rome, Rome, Italy;University of Rome, Rome, Italy

  • Venue:
  • Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization
  • Year:
  • 2006

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Abstract

The definition and usage of quality metrics for Information Visualization techniques is still an immature field. Several proposals are available but a common view and understanding of this issue is still missing. This paper attempts a first step toward a visual quality metrics systematization, providing a general classification of both metrics and usage purposes. Moreover, the paper explores a quite neglected class of visual quality metrics, namely Feature Preservation Metrics, that allow for evaluating and improving in a novel way the effectiveness of basic Infovis techniques.