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Interaction Hybride Tactile/Tangible pour la Sélection 3D

Abstract : We present the design of a 6-DOF tangible controller for 3D spatial data selection. Such selection is a fundamental task in scientific visualization : it is performed prior to many other interactions. Many datasets are defined in 3D space, yet selection is often performed based on 2D input. While 2D-input-based selection may be efficient for datasets with explicit shapes, it is less efficient for data without such objects or structures. We then address this issue by combining 2D tactile with 3D tangible input to perform 3D selection in volumetric datasets
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Submitted on : Monday, August 28, 2017 - 2:41:10 PM
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Mickael Sereno, Mehdi Ammi, Tobias Isenberg, Lonni Besançon. Interaction Hybride Tactile/Tangible pour la Sélection 3D. 29ème conférence francophone sur l'Interaction Homme-Machine, AFIHM, Aug 2017, Poitiers, France. 6 p., ⟨10.1145/3132129.3132150⟩. ⟨hal-01577940⟩



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