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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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
Additional Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Keywords: 3D selection, hybrid systems, human-computer interaction, virtual reality
Schools and Departments: School of Engineering and Informatics > Informatics
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Depositing User: Mx Elements Account
Date Deposited: 24 Mar 2020 09:58
Last Modified: 21 Feb 2022 13:56

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