TY - GEN
T1 - Advanced Visual Analytics Interfaces
AU - Keim, Daniel A.
AU - Bak, Peter
AU - Bertini, Enrico
AU - Oelke, Daniela
AU - Spretke, David
AU - Ziegler, Hartmut
PY - 2010/10/21
Y1 - 2010/10/21
N2 - Advanced visual interfaces, like the ones found in information visualization, intend to offer a view on abstract data spaces to enable users to make sense of them. By mapping data to visual representations and providing interactive tools to explore and navigate, it is possible to get an understanding of the data and possibly discover new knowledge. With the advent of modern data collection and analysis technologies, the direct visualization of data starts to show its limitations due to limited scalability in terms of volumes and to the complexity of required analytical reasoning. Many analytical problems we encounter today require approaches that go beyond pure analytics or pure visualization. Visual analytics provides an answer to this problems by advocating a tight integration between automatic computation and interactive visualization, proposing a more holistic approach. In this paper, we argue for Advanced Visual Analytics Interfaces (AVAIs), visual interfaces in which neither the analytics nor the visualization needs to be advanced in itself but where the synergy between automation and visualization is in fact advanced. We offer a detailed argumentation around the needs and challenges of AVAIs and provide several examples of this type of interfaces.
AB - Advanced visual interfaces, like the ones found in information visualization, intend to offer a view on abstract data spaces to enable users to make sense of them. By mapping data to visual representations and providing interactive tools to explore and navigate, it is possible to get an understanding of the data and possibly discover new knowledge. With the advent of modern data collection and analysis technologies, the direct visualization of data starts to show its limitations due to limited scalability in terms of volumes and to the complexity of required analytical reasoning. Many analytical problems we encounter today require approaches that go beyond pure analytics or pure visualization. Visual analytics provides an answer to this problems by advocating a tight integration between automatic computation and interactive visualization, proposing a more holistic approach. In this paper, we argue for Advanced Visual Analytics Interfaces (AVAIs), visual interfaces in which neither the analytics nor the visualization needs to be advanced in itself but where the synergy between automation and visualization is in fact advanced. We offer a detailed argumentation around the needs and challenges of AVAIs and provide several examples of this type of interfaces.
KW - Data mining
KW - Information visualization
KW - Knowledge discovery
KW - Visual analytics
UR - http://www.scopus.com/inward/record.url?scp=77957936039&partnerID=8YFLogxK
U2 - 10.1145/1842993.1842995
DO - 10.1145/1842993.1842995
M3 - Conference contribution
AN - SCOPUS:77957936039
SN - 9781450300766
T3 - Proceedings of the Workshop on Advanced Visual Interfaces AVI
SP - 3
EP - 10
BT - Proceedings of the Working Conference on Advanced Visual Interfaces, AVI' 10
T2 - International Conference on Advanced Visual Interfaces, AVI '10
Y2 - 26 May 2010 through 28 May 2010
ER -