User-Defined Gesture Interactions for VR Museums: An Elicitation Study

Recognizing the potential of freehand gestures for interacting with virtual objects in virtual environments, our research introduces a user-defined freehand gesture set of typical referents in virtual reality (VR), focusing on a specific scenario: VR museums. We conducted a comprehensive elicitation study with two experiments to define and refine the gesture set. Meanwhile, we demonstrated an enhanced real-time Wizard of Oz approach that facilitated users’ understanding of referents in VR and their gesture design. Our findings revealed significant improvements in gesture consistency and user agreement through two experiments, with an average agreement score of firstchoice and second-choice advancing from 0.211 and 0.160 to 0.412 and 0.284, respectively. By offering a consistent user-centered gesture set, this work contributes to guiding museum curators toward creating more immersive user experiences in VR museums. The gestures can also be extended to other VR applications that necessitate travel, selection and manipulation, and system control tasks.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/ismar62088.2024.00078
Citations
3
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
1.12

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article

User-Defined Gesture Interactions for VR Museums: An Elicitation Study

Hai‐Ning Liang, Huiyue Wu, Bingqing Chen, Qianru Liu et al.
3 citations
Virtual Reality Applications and Impacts
1.12
article

User-Defined Gesture Interactions for VR Museums: An Elicitation Study

Hai‐Ning Liang, Huiyue Wu, Bingqing Chen, Qianru Liu, Yue Li
article en
3 citations

Abstract

Recognizing the potential of freehand gestures for interacting with virtual objects in virtual environments, our research introduces a user-defined freehand gesture set of typical referents in virtual reality (VR), focusing on a specific scenario: VR museums. We conducted a comprehensive elicitation study with two experiments to define and refine the gesture set. Meanwhile, we demonstrated an enhanced real-time Wizard of Oz approach that facilitated users’ understanding of referents in VR and their gesture design. Our findings revealed significant improvements in gesture consistency and user agreement through two experiments, with an average agreement score of firstchoice and second-choice advancing from 0.211 and 0.160 to 0.412 and 0.284, respectively. By offering a consistent user-centered gesture set, this work contributes to guiding museum curators toward creating more immersive user experiences in VR museums. The gestures can also be extended to other VR applications that necessitate travel, selection and manipulation, and system control tasks.

Sun Yat-sen University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 21%
Virtual Reality Applications and Impacts
1.12
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