Publication Type
Journal Article
Version
publishedVersion
Publication Date
10-2023
Abstract
Room-scale VR has been considered an alternative to physical office workspaces. For office activities, users frequently require planar input methods, such as typing or handwriting, to quickly record annotations to virtual content. However, current off-The-shelf VR HMD setups rely on mid-Air interactions, which can cause arm fatigue and decrease input accuracy. To address this issue, we propose UbiSurface, a robotic touch surface that can automatically reposition itself to physically present a virtual planar input surface (VR whiteboard, VR canvas, etc.) to users and to permit them to achieve accurate and fatigue-less input while walking around a virtual room. We design and implement a prototype of UbiSurface that can dynamically change a canvas-sized touch surface's position, height, and pitch and yaw angles to adapt to virtual surfaces spatially arranged at various locations and angles around a virtual room. We then conduct studies to validate its technical performance and examine how UbiSurface facilitates the user's primary mid-Air planar interactions, such as painting and writing in a room-scale VR setup. Our results indicate that this system reduces arm fatigue and increases input accuracy, especially for writing tasks. We then discuss the potential benefits and challenges of robotic touch devices for future room-scale VR setups.
Keywords
distributed encountered type haptics, haptics, inflatable, mobile robots, virtual reality
Discipline
Graphics and Human Computer Interfaces | Software Engineering
Publication
Proceedings of the ACM on Human-Computer Interaction
Volume
7
First Page
376
Last Page
397
ISSN
2573-0142
Identifier
10.1145/3626479
Publisher
Association for Computing Machinery (ACM)
Citation
GOMI, Ryota; TAKASHIMA, Kazuki; ONISHI, Yuki; FUJITA, Kazuyuki; and KITAMURA, Yoshifumi.
UbiSurface: A robotic touch surface for supporting mid-air planar interactions in room-scale VR. (2023). Proceedings of the ACM on Human-Computer Interaction. 7, 376-397.
Available at: https://ink.library.smu.edu.sg/sis_research/8383
Copyright Owner and License
Authors-CC-BY
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3626479