Naviguer dans des grands arbres avec ControlTree

  • Authors:
  • Caroline Appert;Jean-Daniel Fekete

  • Affiliations:
  • LRI - Univ. Paris-Sud, Orsay, France and INRIA, Orsay, France;INRIA, Orsay, France and LRI - Univ. Paris-Sud, Orsay, France

  • Venue:
  • IHM '07 Proceedings of the 19th International Conference of the Association Francophone d'Interaction Homme-Machine
  • Year:
  • 2007

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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.