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

The Rise of AI-Generated Anime Avatars: Trends, Challenges, and Opportunities.

IEEE computer graphics and applications·2026
Same author

Hybridizing Expressive Rendering: Stroke-Based Rendering With Classic and Neural Methods.

IEEE computer graphics and applications·2026
Same author

How Visually Literate Are Large Language Models? Reflections on Recent Advances and Future Directions.

IEEE computer graphics and applications·2025
Same author

Generative AI for Visualization: Opportunities and Challenges.

IEEE computer graphics and applications·2024
Same author

Improving maternal safety: Usability and performance assessment of a new medical device for the treatment of postpartum haemorrhage.

Applied ergonomics·2024
Same author

The Curse of Performative User Studies.

IEEE computer graphics and applications·2023
Same journal

Graph Pattern Matching based reassembly - 3DGPM.

IEEE computer graphics and applications·2026
Same journal

Making Learning Visible: Turning Public Engagement into Evidence for Academic Learning.

IEEE computer graphics and applications·2026
Same journal

LlymX: Multimodal LLM-Augmented XR for Context-Aware Information Access.

IEEE computer graphics and applications·2026
Same journal

Dynamic Gaussian-Based Digital Twin Reconstruction of Articulated Multi-Joint Objects.

IEEE computer graphics and applications·2026
Same journal

Steiner and Poisson Traversal Initializations: Initial Curve Optimization for Geometric Flow-based Surface Filling.

IEEE computer graphics and applications·2026
Same journal

Insight Into the Insight Toolkit.

IEEE computer graphics and applications·2026
See all related articles

Related Experiment Video

Updated: May 24, 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

847

Enhancing Virtual Reality Training through Artificial Intelligence: A Case Study.

Riccardo Giussani, Nicolo Dozio, Stefano Rigone

    IEEE Computer Graphics and Applications
    |March 3, 2025
    PubMed
    Summary
    This summary is machine-generated.

    Artificial intelligence enhances virtual reality training by improving user engagement and reducing authoring time. AI-assisted virtual reality (VR) training shows higher performance satisfaction compared to traditional VR methods.

    More Related Videos

    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

    840
    Author Spotlight: Rehabilitation of Stroke Patients With a Digital Occupational Training System
    07:35

    Author Spotlight: Rehabilitation of Stroke Patients With a Digital Occupational Training System

    Published on: December 29, 2023

    1.1K

    Related Experiment Videos

    Last Updated: May 24, 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

    847
    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

    840
    Author Spotlight: Rehabilitation of Stroke Patients With a Digital Occupational Training System
    07:35

    Author Spotlight: Rehabilitation of Stroke Patients With a Digital Occupational Training System

    Published on: December 29, 2023

    1.1K

    Area of Science:

    • Educational Technology
    • Human-Computer Interaction
    • Artificial Intelligence

    Background:

    • Companies face a skills gap due to rapid technological advancement and high employee turnover.
    • Virtual reality (VR) offers training advantages but suffers from lengthy authoring times for virtual environments.
    • Integrating AI into VR training can address these limitations.

    Purpose of the Study:

    • To propose an architecture for integrating artificial intelligence (AI) assistance into VR training environments.
    • To enhance user engagement and decrease authoring effort in VR training.
    • To evaluate the effectiveness of AI-assisted VR training.

    Main Methods:

    • A novel architecture was designed to incorporate AI assistance into VR training.
    • A study was conducted comparing VR training with and without an AI digital assistant.
    • Usability, perceived workload, and performance satisfaction were measured.

    Main Results:

    • Usability and perceived workload were comparable between AI-assisted and non-assisted VR training.
    • Participants in the AI-assisted VR training condition reported higher performance satisfaction.
    • The proposed architecture facilitates AI integration into VR training.

    Conclusions:

    • AI assistance can improve the effectiveness of VR training programs.
    • Integrating AI into VR environments can lead to better user outcomes and reduced development overhead.
    • This approach offers a viable solution for corporate up-skilling and re-skilling initiatives.