Naviguer dans des grands arbres avec ControlTree

Caroline Appert 1, 2 Jean-Daniel Fekete 1
1 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
Abstract : This article presents ControlTree, a relevant technique to select a node is a very large node-link representation using a continuous interaction. The node-link representation is dynamic and driven by the cursor location to optimize screen space and to ease the selections. ControlTree uses a snapping mechanism and adapts the OrthoZoom technique to offer an alternative to common "point-and-click" techniques. We also present a preliminary theoretical evaluation showing that ControlTree is a promising technique.
Document type :
Conference papers
International Conference of the Association Francophone d'Interaction Homme-Machine, 2007, Paris, France. 2007, 〈10.1145/1541436.1541463〉
Liste complète des métadonnées

Cited literature [8 references]  Display  Hide  Download

https://hal.inria.fr/inria-00538506
Contributor : Caroline Appert <>
Submitted on : Monday, November 22, 2010 - 4:15:53 PM
Last modification on : Thursday, November 9, 2017 - 4:42:24 PM
Document(s) archivé(s) le : Friday, October 26, 2012 - 4:21:48 PM

File

ControlTree_IHM07.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Caroline Appert, Jean-Daniel Fekete. Naviguer dans des grands arbres avec ControlTree. International Conference of the Association Francophone d'Interaction Homme-Machine, 2007, Paris, France. 2007, 〈10.1145/1541436.1541463〉. 〈inria-00538506〉

Share

Metrics

Record views

184

Files downloads

88