Investigating Object Translation in Room-scale, Handheld Virtual Reality

Handheld devices have become an inclusive alternative to head-mounted displays in virtual reality (VR) environments, enhancing accessibility and allowing cross-device collaboration. Object manipulation techniques in 3D space with handheld devices, such as those in handheld augmented reality (AR), have been typically evaluated in table-top scale and we currently lack an understanding of how these techniques perform in larger scale environments. We conducted two studies, each with 30 participants, to investigate how different techniques impact usability and performance for room-scale handheld VR object translations. We compared three translation techniques that are similar to commonly studied techniques in handheld AR: 3DSlide, VirtualGrasp, and Joystick. We also examined the effects of target size, target distance, and user mobility conditions (stationary vs. moving). Results indicated that the Joystick technique, which allowed translation in relation to the user's perspective, was the fastest and most preferred, without difference in precision. Our findings provide insights for designing room-scale handheld VR systems, with potential implications for mixed reality systems involving handheld devices.

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Publication Details

Journal
IEEE Transactions on Visualization and Computer Graphics
Published
2024-09-09
DOI
https://doi.org/10.1109/tvcg.2024.3456154
Citations
1
Primary Topic
Speech and dialogue systems
Type
article
Field-Weighted Citation Impact
0.35

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article

Investigating Object Translation in Room-scale, Handheld Virtual Reality

Hayoun Moon, Daniel Enriquez, Myounghoon Jeon, Doug A. Bowman et al.
1 citations
IEEE Transactions on Visualization and Computer Graphics
Speech and dialogue systems
0.35
article

Investigating Object Translation in Room-scale, Handheld Virtual Reality

Hayoun Moon, Daniel Enriquez, Myounghoon Jeon, Doug A. Bowman, Sang Won Lee
article en
1 citations

Abstract

Handheld devices have become an inclusive alternative to head-mounted displays in virtual reality (VR) environments, enhancing accessibility and allowing cross-device collaboration. Object manipulation techniques in 3D space with handheld devices, such as those in handheld augmented reality (AR), have been typically evaluated in table-top scale and we currently lack an understanding of how these techniques perform in larger scale environments. We conducted two studies, each with 30 participants, to investigate how different techniques impact usability and performance for room-scale handheld VR object translations. We compared three translation techniques that are similar to commonly studied techniques in handheld AR: 3DSlide, VirtualGrasp, and Joystick. We also examined the effects of target size, target distance, and user mobility conditions (stationary vs. moving). Results indicated that the Joystick technique, which allowed translation in relation to the user's perspective, was the fastest and most preferred, without difference in precision. Our findings provide insights for designing room-scale handheld VR systems, with potential implications for mixed reality systems involving handheld devices.

IEEE Transactions on Visualization and Computer GraphicsVol. 30(11)
Human Computer Interaction (Switzerland) (CH), Human Media (US), Virginia Tech (US)
National Science Foundation
Openalex Percentile: Top 34%
Speech and dialogue systems
0.35
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