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Proceedings Paper

Evaluating lossiness and fidelity in information visualization
Author(s): Richard Brath; Ebad Banissi
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Paper Abstract

We describe an approach to measure visualization fidelity for encoding of data to visual attributes based on the number of unique levels that can be perceived; and a summarization across multiple attributes to compare relative lossiness across visualization alternatives. These metrics can be assessed at design time in order to compare the lossiness of different visualizations to aid in the selection between design alternatives. Examples are provided showing the application of these metrics to two different visualization design scenarios. Limitations and dependencies are noted along with recommendations for other metrics that can be used in conjunction with fidelity and lossiness to gauge effectiveness at design-time.

Paper Details

Date Published: 8 February 2015
PDF: 14 pages
Proc. SPIE 9397, Visualization and Data Analysis 2015, 93970H (8 February 2015); doi: 10.1117/12.2083444
Show Author Affiliations
Richard Brath, London South Bank Univ. (United Kingdom)
Ebad Banissi, London South Bank Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 9397:
Visualization and Data Analysis 2015
David L. Kao; Ming C. Hao; Mark A. Livingston; Thomas Wischgoll, Editor(s)

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