A Tool for Estimating Success Rates of Raycasting-Based Object Selection in Virtual Reality
By: Tatsuya Okuno , Haruto Shimizu , Nobuhito Kasahara and more
Potential Business Impact:
Helps VR game makers predict if players can grab things.
As XR devices become widespread, 3D interaction has become commonplace, and UI developers are increasingly required to consider usability to deliver better user experiences. The HCI community has long studied target-pointing performance, and research on 3D environments has progressed substantially. However, for practitioners to directly leverage research findings in UI improvements, practical tools are needed. To bridge this gap between research and development in VR systems, we propose a system that estimates object selection success rates within a development tool (Unity). In this paper, we validate the underlying theory, describe the tool's functions, and report feedback from VR developers who tried the tool to assess its usefulness.
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