Abstract
One of the critical issues challenging human decision makers in the information age is how to find out data relevant to their tasks and how to derive meaningful information from these data. As a new discipline for dealing with this issue, visual analytics has recently emerged. Visual analytics is defined as the science of analytical reasoning facilitated by interactive visual interfaces. It is a multidisciplinary subject that is related to data mining, information visualization, knowledge science, human factors, and so on. This paper reviews the state of the art of visual analytics and claims that the problems of visual analytics should be considered in the context of human-computer interaction and joint cognitive systems. Based on the review results, this paper proposes a conceptual framework for organizing research problems studied so far and identifying viable future research directions. The author hopes that this paper will provide well-organized information about visual analytics and be a good source for researchers who are interested in this new discipline.
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Ham, DH. (2010). The State of the Art of Visual Analytics. In: Lee, J.H., Lee, H., Kim, JS. (eds) EKC 2009 Proceedings of the EU-Korea Conference on Science and Technology. Springer Proceedings in Physics, vol 135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13624-5_20
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DOI: https://doi.org/10.1007/978-3-642-13624-5_20
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