Mélange: Space Folding for Visual Exploration

Niklas Elmqvist 1 Yann Riche 2 Nathalie Henry 3 Jean-Daniel Fekete 3, *
* Corresponding author
1 Purdue University [West Lafayette]
2 IN-SITU - Situated interaction
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
3 AVIZ - Analysis and Visualization
Inria Saclay - Ile de France
Abstract : Navigating in large geometric spaces--such as maps, social networks, or long documents--typically requires a sequence of pan and zoom actions. However, this strategy is often ineffective and cumbersome, especially when trying to study and compare several distant objects. We propose a new distortion technique that folds the intervening space to guarantee visibility of multiple focus regions. The folds themselves show contextual information and support unfolding and paging interactions. We conducted a study comparing the space-folding technique to existing approaches and found that participants performed significantly better with the new technique. We also describe how to implement this distortion technique and give an in-depth case study on how to apply it to the visualization of large-scale 1D time-series data.
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Niklas Elmqvist, Yann Riche, Nathalie Henry, Jean-Daniel Fekete. Mélange: Space Folding for Visual Exploration. IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2010, 16 (3), pp.468-483. ⟨hal-00696761⟩

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