Publication Type
Conference Proceeding Article
Version
publishedVersion
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
Artificial Intelligence and Robotics | Graphics and Human Computer Interfaces
Research Areas
Intelligent Systems and Optimization
Publication
UIST '24: Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology: Pittsburgh, PA, October 13-16
First Page
1
Last Page
14
ISBN
9798400706288
Identifier
10.1145/3654777.3676463
Publisher
Association for Computing Machinery
City or Country
New York
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). UIST '24: Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology: Pittsburgh, PA, October 13-16. 1-14.
Available at: https://ink.library.smu.edu.sg/sis_research/9904
Copyright Owner and License
Authors
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Additional URL
https://doi.org/10.1145/3654777.3676463
Included in
Artificial Intelligence and Robotics Commons, Graphics and Human Computer Interfaces Commons