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 Citation (SciVal)

Abstract

—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 ClockRay, 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 ClockRay technique and then evaluate its performance in a series of user studies. Drawing on the experimental results, we discuss the benefits of ClockRay compared to two popular ray selection techniques – RayCursor and RayCasting. Our findings can inform the design of VR-based interactive visualization systems for high-density data.

Original languageEnglish (US)
Pages (from-to)3767-3778
Number of pages12
JournalIEEE Transactions on Visualization and Computer Graphics
Volume30
Issue number7
DOIs
StatePublished - Jul 1 2024

All Science Journal Classification (ASJC) codes

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

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