ClockRay: A Wrist-Rotation based Technique for Occluded-Target Selection in Virtual Reality

Huiyue Wu, Xiaoxuan Sun, Huawei Tu, Xiaolong Zhang

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Target selection is one of essential operation made available by interaction techniques in virtual reality (VR) environments. However, effectively positioning or selecting occluded objects is under-investigated in VR, especially in the context of high-density or a high-dimensional data visualization with VR. In this paper, we propose <italic>ClockRay</italic>, an occluded-object selection technique that can maximize the intrinsic human wrist rotation skills through the integration of emerging ray selection techniques in VR environments. We describe the design space of the <italic>ClockRay</italic> technique and then evaluate its performance in a series of user studies. Drawing on the experimental results, we discuss the benefits of <italic>ClockRay</italic> compared to two popular ray selection techniques &#x2013; <italic>RayCursor</italic> and <italic>RayCasting</italic>. Our findings can inform the design of VR-based interactive visualization systems for high-density data.

Original languageEnglish (US)
Pages (from-to)1-12
Number of pages12
JournalIEEE Transactions on Visualization and Computer Graphics
StateAccepted/In press - 2023

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

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