A Tool for Estimating Success Rates of Raycasting-Based Object Selection in Virtual Reality

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Authors: Tatsuya Okuno, Haruto Shimizu, Nobuhito Kasahara, Taiyu Honma, Shota Yamanaka, Homei Miyashita
Cited by: 0

Abstract

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.

Fields of Study & Subjects

Virtual Reality Applications and Impacts Interactive and Immersive Displays Augmented Reality Applications

Publication details

Journal / source
arXiv (Cornell University)
Publication date
7 January 2026
Document type
Preprint