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

p38 MAP kinase senses short-chain fatty acids to attenuate Toll-like receptor signaling and intestinal inflammation.

Science advances·2026
Same author

Whey protein-gallic acid-pectin covalent conjugates improved emulsion stability and bioaccessibility of β-carotene.

Food chemistry·2026
Same author

Mechanisms of Isoliquiritigenin Against Protein Glycation: A Comparative Study in PBS Solution and Crowding Environment.

Foods (Basel, Switzerland)·2026
Same author

Grand Challenges in Cross Reality.

IEEE transactions on visualization and computer graphics·2026
Same author

AdaptiController: VR-Enhanced Fine Motor Assistance Through Finger Pressure Modulation.

IEEE transactions on visualization and computer graphics·2026
Same author

Optimal Raycast Selection Feedback in VR for Older Adults: A Design and Analysis Study.

IEEE transactions on visualization and computer graphics·2026

Related Experiment Video

Updated: Jul 6, 2025

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
10:14

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

Published on: May 10, 2024

1.0K

Design and Evaluation of Controller-Based Raycasting Methods for Efficient Alphanumeric and Special Character Entry

Tingjie Wan, Yushi Wei, Rongkai Shi

    IEEE Transactions on Visualization and Computer Graphics
    |January 3, 2024
    PubMed
    Summary

    Virtual reality text entry methods were compared, with Layer-ButtonSwitch showing the best performance for alphanumeric and special characters. Key-ButtonSwitch improved with practice, matching Layer-ButtonSwitch.

    More Related Videos

    A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
    06:28

    A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

    Published on: August 26, 2018

    6.0K
    Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator
    03:49

    Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator

    Published on: May 19, 2023

    965

    Related Experiment Videos

    Last Updated: Jul 6, 2025

    Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
    10:14

    Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

    Published on: May 10, 2024

    1.0K
    A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
    06:28

    A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

    Published on: August 26, 2018

    6.0K
    Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator
    03:49

    Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator

    Published on: May 19, 2023

    965

    Area of Science:

    • Human-Computer Interaction
    • Virtual Reality (VR) Interfaces
    • Usability Engineering

    Background:

    • Text entry in virtual reality (VR) commonly uses virtual Qwerty keyboards, adapting physical/touchscreen layouts.
    • Mode-switching for capitals, symbols, and numbers may be suboptimal in VR due to inherent interface differences.
    • VR's flexibility allows for novel text entry method designs beyond direct physical keyboard migration.

    Purpose of the Study:

    • To design and evaluate controller-based raycasting text entry methods for alphanumeric and special characters in VR.
    • To compare the performance and user preference of novel VR text entry methods against established Qwerty keyboard adaptations.
    • To identify optimal design principles for efficient alphanumeric and special character input in VR environments.

    Main Methods:

    • Developed two controller-based raycasting text entry methods: Layer-ButtonSwitch and Key-ButtonSwitch.
    • Compared these with two adapted methods: Standard Qwerty Keyboard and Layer-PointSwitch.
    • Conducted two user studies (short-term and prolonged) assessing text input performance and user preference.

    Main Results:

    • Layer-ButtonSwitch demonstrated the highest statistically significant performance for text entry.
    • Key-ButtonSwitch performance improved with practice, eventually matching Layer-ButtonSwitch.
    • Layer-PointSwitch exhibited the slowest input speed, while Standard Qwerty Keyboard showed moderate performance.

    Conclusions:

    • Controller-based raycasting methods, particularly Layer-ButtonSwitch, offer superior performance for VR text entry.
    • Key-level layouts enabling parallel mode switching and character input enhance efficiency.
    • Design recommendations are provided to guide future development of VR text entry techniques for alphanumeric and special characters.