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HorizontalDragger: a Freehand Remote Selector for Object Acquisition

Abstract : Interaction with computers using freehand gestures becomes more and more popular. However, it is hard to make precise inputs by making gestures in air without a physical support. As a result, selecting a small object from dense target clusters is still a difficult task for bare hand interaction. In this paper, we present the HorizontalDragger, a new selection technique aimed to improve the selection precision by converting the 2D selection problem into a 1D selection problem. After setting a region of interest in the display, all the objects inside the region are considered as potential targets. The user can drag the index finger horizontally to choose the desired target. Because the effective width of each potential target is set to a constant value, the user can switch the focus in the region of interest in a predictable way. We have made two preliminary studies to find appropriate values for the size of the region of interest and the effective width. We are going to evaluate the performance of this technique by comparing it with other recent remote selection techniques in the future work.
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  • HAL Id : hal-01101794, version 1

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Siju Wu, Amine Chellali, Samir Otmane, Guillaume Moreau. HorizontalDragger: a Freehand Remote Selector for Object Acquisition. 9es journées de l’Association Française de Réalité Virtuelle (AFRV), Augmentée, Mixte et d’Interaction 3D, Nov 2014, Reims, France. ⟨hal-01101794⟩

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