Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Rubbing Interaction with Two-Handed Virtual Reality Controllers.

IEEE transactions on visualization and computer graphics·2026
Same author

StarPicker: A Technique for Selecting Dense Small Targets in AR-Based Data Visualization Environments.

IEEE transactions on visualization and computer graphics·2026
Same author

Effects of Postures on Identifying Users for Selection-Based Behavioral Authentication in Virtual Reality.

IEEE transactions on visualization and computer graphics·2026
Same author

FootEyePorting: Design and Evaluation of Foot-Eye Teleportation Techniques in Virtual Reality.

IEEE transactions on visualization and computer graphics·2026
Same author

A Systematic Evaluation of Dragging Interaction Using Raycasting in Virtual Reality.

IEEE transactions on visualization and computer graphics·2026
Same author

Two-Handed Click and Tap: Expanding Input Vocabulary of Controllers for Virtual Reality Interaction.

IEEE transactions on visualization and computer graphics·2025

Related Experiment Video

Updated: Aug 4, 2025

Controlled Rotation of Human Observers in a Virtual Reality Environment
09:11

Controlled Rotation of Human Observers in a Virtual Reality Environment

Published on: April 21, 2022

2.6K

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

Huiyue Wu, Xiaoxuan Sun, Huawei Tu

    IEEE Transactions on Visualization and Computer Graphics
    |April 6, 2023
    PubMed
    Summary

    ClockRay enhances virtual reality (VR) object selection by utilizing wrist rotation for occluded items. This novel technique outperforms existing methods in VR data visualization tasks.

    More Related Videos

    An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles
    09:27

    An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

    Published on: August 25, 2020

    4.3K
    Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another
    05:12

    Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another

    Published on: September 18, 2017

    546.4K

    Related Experiment Videos

    Last Updated: Aug 4, 2025

    Controlled Rotation of Human Observers in a Virtual Reality Environment
    09:11

    Controlled Rotation of Human Observers in a Virtual Reality Environment

    Published on: April 21, 2022

    2.6K
    An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles
    09:27

    An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

    Published on: August 25, 2020

    4.3K
    Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another
    05:12

    Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another

    Published on: September 18, 2017

    546.4K

    Area of Science:

    • Human-Computer Interaction
    • Virtual Reality Systems
    • Data Visualization

    Background:

    • Selecting occluded objects in virtual reality (VR) is challenging, particularly for high-density data visualization.
    • Existing VR interaction techniques inadequately address the selection of occluded or distant objects.

    Purpose of the Study:

    • To introduce and evaluate ClockRay, a novel VR object selection technique.
    • To leverage human wrist rotation for improved selection of occluded objects in VR.
    • To compare ClockRay's performance against established ray selection methods.

    Main Methods:

    • Developed the ClockRay selection technique, integrating human wrist rotation with ray selection.
    • Designed and conducted user studies to evaluate ClockRay's effectiveness.
    • Compared ClockRay against RayCursor and RayCasting techniques in user performance metrics.

    Main Results:

    • ClockRay demonstrated superior performance in selecting occluded objects compared to RayCursor and RayCasting.
    • User studies validated the efficacy of leveraging wrist rotation for VR selection tasks.
    • The technique showed potential for improving interaction efficiency in complex VR environments.

    Conclusions:

    • ClockRay offers a promising new interaction technique for VR, particularly for occluded object selection.
    • The findings suggest that incorporating natural human movements like wrist rotation enhances VR usability.
    • This research can guide the development of more intuitive VR-based data visualization tools.