Evaluating Lossiness and Fidelity in Information Visualization

被引：2
作者：
Brath, Richard [1 ]
Banissi, Ebad [1 ]
机构：
[1] London S Bank Univ, London SE1 0AA, England
来源：
VISUALIZATION AND DATA ANALYSIS 2015 | 2015年 / 9397卷
关键词：
Information Lossiness; Visualization Fidelity; Visual Attribute Permutations; QUALITY METRICS; DESIGN;
D O I：
10.1117/12.2083444
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页数：14
相关论文
共 28 条
  • [1] Amar R., 2004, IEEE S INF VIS
  • [2] [Anonymous], 1985, The Elements of Graphing Data
  • [3] [Anonymous], P 2014 IEEE S INF VI
  • [4] Bertin J., 1967, SEMIOLOGIE GRAPHIQUE
  • [5] Bertini E, 2004, LECT NOTES COMPUT SC, V3031, P77
  • [6] Quality Metrics in High-Dimensional Data Visualization: An Overview and Systematization
    Bertini, Enrico
    Tatu, Andrada
    Keim, Daniel
    [J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2011, 17 (12) : 2203 - 2212
  • [7] Beshers Clifford, 1993, COMPUTER GRAPHICS AP, V13.4
  • [8] Brath R., 2014, P KNOWL MAPS INF RET
  • [9] BRATH R, 1997, P 1997 IEEE S INF VI
  • [10] Chen M., 2013, SYNTHESE
123