Eliciting Multi-touch Selection Gestures for Interactive Data Graphics

Wesley Willett 1 Qi Lan 1 Petra Isenberg 1
1 AVIZ - Analysis and Visualization
Inria Saclay - Ile de France
Abstract : We report the results of a study in which we elicited selection gestures for multi-touch data graphics. The selection of data items is a common and extremely important form of interaction with data graphics, and serves as the basis for many other data interaction techniques. However, interactive charting tools for multi-touch displays typically only provide dedicated multi-touch gestures for single-point selection or zooming. Our study used gesture elicitation to explore a wider range of possible selection interactions for multi-touch data graphics. The results show a strong preference for simple, one-handed selection gestures. They also show that users tend to interact with chart axes and make figurative selection gestures outside the chart, rather than interact with the visual marks themselves. Finally, we found strong consensus around several unique selection gestures related to visual chart features.
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https://hal.inria.fr/hal-00990928
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Submitted on : Thursday, July 17, 2014 - 1:25:51 PM
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Wesley Willett, Qi Lan, Petra Isenberg. Eliciting Multi-touch Selection Gestures for Interactive Data Graphics. Short-Paper Proceedings of the European Conference on Visualization (EuroVis), 2014, Aire-la-Ville, Switzerland. ⟨hal-00990928⟩

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