Low-Level Components of Analytic Activity in Information Visualization
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Supporting the analytical reasoning process in information visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Toward effective insight management in visual analytics systems
PACIFICVIS '09 Proceedings of the 2009 IEEE Pacific Visualization Symposium
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Annotation is essential for effective visual sense making. For multidimensional data, most existing annotation approaches require users to manually type notes to record the semantic meaning of their findings. They require high effort from multi-touch interface users since these users often experience low typing speeds and high typing errors. To lower the typing effort and improve the quality of the generated annotations, we propose a new approach that semi-automatically generates annotations with rich semantic meanings on multidimensional visualizations. A working prototype of this approach, named Touch2Annotate, has been implemented and used on a tabletop. We present a scenario of using Touch2Annotate to demonstrate its effectiveness.