Slicing-volume: hybrid 3D/2D multi-target selection technique for dense virtual environments

Montano-Murillo, Roberto A, Nguyen, Cuong, Habib Kazi, Rubaiat, Subramanian, Sriram, DiVerdi, Stephen and Martinez-Plasencia, Diego (2020) Slicing-volume: hybrid 3D/2D multi-target selection technique for dense virtual environments. 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), Atlanta, Georgia / Online, March 22 - 26th 2020. Published in: 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). 53-62. IEEE ISSN 2642-5246 ISBN 9781728156095

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Abstract

3D selection in dense VR environments (e.g., point clouds) is extremely challenging due to occlusion and imprecise mid-air input modalities (e.g., 3D controllers and hand gestures). In this paper, we propose "Slicing-Volume", a hybrid selection technique that enables simultaneous 3D interaction in mid-air, and a 2D pen-and-tablet metaphor in VR. Inspired by well-known slicing plane techniques in data visualization, our technique consists of a 3D volume that encloses target objects in mid-air, which are then projected to a 2D tablet view for precise selection on a tangible physical surface. While slicing techniques and tablets-in-VR have been previously explored, in this paper, we evaluated the potential of this hybrid approach to improve accuracy in highly occluded selection tasks, comparing different multimodal interactions (e.g., Mid-air, Virtual Tablet and Real Tablet). Our results showed that our hybrid technique significantly improved overall accuracy of selection compared to Mid-air selection only, thanks to the added haptic feedback given by the physical tablet surface, rather than the added visualization given by the tablet view.

Item Type: Conference Proceedings
Keywords: 3D selection, hybrid systems, human-computer interaction, virtual reality
Schools and Departments: School of Engineering and Informatics > Informatics
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SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 24 Mar 2020 09:58
Last Modified: 14 May 2020 06:40
URI: http://sro.sussex.ac.uk/id/eprint/90529

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