DocumentCode :
964226
Title :
Toward a Deeper Understanding of the Role of Interaction in Information Visualization
Author :
Ji Soo Yi ; Youn ah Kang ; Stasko, J.T. ; Jacko, J.A.
Author_Institution :
Georgia Inst. of Technol., Atlanta
Volume :
13
Issue :
6
fYear :
2007
Firstpage :
1224
Lastpage :
1231
Abstract :
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.
Keywords :
data visualisation; human computer interaction; Infovis community; Infovis interaction techniques; Infovis systems; information visualization; taxonomy; Computer displays; Computer graphics; Conference proceedings; Data visualization; Filters; Human computer interaction; Rendering (computer graphics); Research and development; Taxonomy; Visual analytics; Information visualization; interaction; interaction techniques; taxonomy; visual analytics;
fLanguage :
English
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
Publisher :
ieee
ISSN :
1077-2626
Type :
jour
DOI :
10.1109/TVCG.2007.70515
Filename :
4376144
Link To Document :
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