Toward a deeper understanding of the role of interaction in information visualization

被引:576
作者
Yi, Ji Soo [1 ]
Kang, Youn Ah
Stasko, John T.
Jacko, Julie A.
机构
[1] Georgia Inst Technol, Sch Ind & Syst Engn, Hlth Syst Inst, Atlanta, GA 30332 USA
[2] Georgia Inst Technol, GVU Ctr, Sch Interact Comp, Atlanta, GA 30332 USA
[3] Emory Univ, Georgia Inst Technol, Coll Comp, Hlth Syst Inst,Dept Biomed Engn, Atlanta, GA 30322 USA
基金
美国国家科学基金会; 欧盟地平线“2020”;
关键词
information visualization; interaction; interaction techniques; taxonomy; visual analytics;
D O I
10.1109/TVCG.2007.70515
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Even though interaction is an important part of information visualization (Infovis), it has garnered a relatively low level of attention from the Infovis community. A few frameworks and taxonomies of Infovis interaction techniques exist, but they typically focus on low-level operations and do not address the variety of benefits interaction provides. After conducting an extensive review of Infovis systems and their interactive capabilities, we propose seven general categories of interaction techniques widely used in Infovis: 1) Select, 2) Explore, 3) Reconfigure, 4) Encode, 5) Abstract/Elaborate, 6) Filter, and 7) Connect. These categories are organized around a user's intent while interacting with a system rather than the low-level interaction techniques provided by a system. The categories can act as a framework to help discuss and evaluate interaction techniques and hopefully lay an initial foundation toward a deeper understanding and a science of interaction.
引用
收藏
页码:1224 / 1231
页数:8
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