The author of the paper starts by pointing the fact that interactions make visualizations more useful. This is especially important in the present day. Increasingly data visualization is being used as one of the ways to explore data and also to find serendipitous patterns. A lot of emphasis has been given to rendering a good visualization. However there is still a lot of work that needs to be done in the area of interactions with visualization. These two topics are studied extensively in isolation and need to be combined in a harmonious way to provide more effective visualizations.
The author takes the first steps by categorizing the types of interactions with visualizations seen so far into seven categories. The author lists and describes these categories. The author provides examples for all these seven basic types of interactions. He also provides examples where the interactions techniques intersect or are incomplete and how this affects the interaction. In conclusion paper shows that there needs to be good amount of focus on the user intent too while making a visualization.
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