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. Copyright 2006 ACM.
Visual quality metrics / Enrico, Bertini; Santucci, Giuseppe. - ELETTRONICO. - (2006), p. 1. (Intervento presentato al convegno BELIV'06: BEyond time and errors - novel EvaLuation methods for Information Visualization. A workshop of the AVI 2006 International Working Conference tenutosi a Venice nel 23 May 2006) [10.1145/1168149.1168159].
Visual quality metrics
SANTUCCI, Giuseppe
2006
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. Copyright 2006 ACM.| File | Dimensione | Formato | |
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