Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
10-2024
Abstract
We present GradualReality, a novel interface enabling a Cross Reality experience that includes gradual interaction with physical objects in a virtual environment and supports both presence and usability. Daily Cross Reality interaction is challenging as the user’s physical object interaction state is continuously changing over time, causing their attention to frequently shift between the virtual and physical worlds. As such, presence in the virtual environment and seamless usability for interacting with physical objects should be maintained at a high level. To address this issue, we present an Interaction State-Aware Blending approach that (i) balances immersion and interaction capability and (ii) provides a fine-grained, gradual transition between virtual and physical worlds. The key idea includes categorizing the flow of physical object interaction into multiple states and designing novel blending methods that offer optimal presence and sufficient physical awareness at each state. We performed extensive user studies and interviews with a working prototype and demonstrated that GradualReality provides better Cross Reality experiences compared to baselines.
Keywords
Cross reality experience, Physical object virtual interaction, State aware blending
Discipline
Graphics and Human Computer Interfaces
Publication
Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology (UIST 2024) : Pittsburgh, PA, USA, October 13-16
First Page
1
Last Page
14
Identifier
10.1145/3654777.3676463
Publisher
Association for Computing Machinery
City or Country
New York, NY, USA
Citation
SEO, HyunA; YI, Juheon; BALAN, Rajesh Krishna; and LEE, Youngki.
GradualReality : Enhancing physical object interaction in virtual reality via interaction state-aware blending. (2024). Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology (UIST 2024) : Pittsburgh, PA, USA, October 13-16. 1-14.
Available at: https://ink.library.smu.edu.sg/sis_research/9904
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/10.1145/3654777.3676463
Comments
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