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A review of overview+detail, zooming, and focus+context interfaces

, , and . ACM Comput. Surv., 41 (1): 2:1--2:31 (January 2009)
DOI: 10.1145/1456650.1456652

Abstract

There are many interface schemes that allow users to work at, and move between, focused and contextual views of a dataset. We review and categorize these schemes according to the interface mechanisms used to separate and blend views. The four approaches are overview+detail, which uses a spatial separation between focused and contextual views; zooming, which uses a temporal separation; focus+context, which minimizes the seam between views by displaying the focus within the context; and cue-based techniques which selectively highlight or suppress items within the information space. Critical features of these categories, and empirical evidence of their success, are discussed. The aim is to provide a succinct summary of the state-of-the-art, to illuminate both successful and unsuccessful interface strategies, and to identify potentially fruitful areas for further work.

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A review of overview+detail, zooming, and focus+context interfaces

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