Amélioration du Raycasting par utilisation de la sélection par proximité et du filtrage

Marc Baloup 1 Thomas Pietrzak 1 Géry Casiez 1
1 LOKI - Technology and knowledge for interaction
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Abstract : Raycasting is the most common target pointing technique in virtual reality environments. However, performance on small and distant targets is impacted by the accuracy of the pointing device and the user's motor skills. Current pointing facilitation techniques are currently only applied in the context of the virtual hand, i.e. for targets within reach. We propose enhancements to Raycasting : filtering the ray, and adding a controllable cursor on the ray to select the nearest target. We describe a series of studies for the design of the visual feedforward, filtering technique, as well as a comparative study between different 3D pointing techniques. Our results show that highlighting the nearest target is one of the most efficient visual feedforward technique. We also show that filtering the ray reduces error rate in a drastic way. Finally we show the benefits of RayCursor compared to Raycasting and another technique from the literature.
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Submitted on : Tuesday, December 3, 2019 - 11:36:16 AM
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Marc Baloup, Thomas Pietrzak, Géry Casiez. Amélioration du Raycasting par utilisation de la sélection par proximité et du filtrage. Journal d'Interaction Personne-Système, Association Francophone d'Interaction Homme-Machine (AFIHM), 2019, 8 (1), pp.61 - 83. ⟨hal-02158113v2⟩



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