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

Security by design in artificial intelligence-enabled energy management systems: a sociotechnical framework.

Frontiers in artificial intelligence·2026
Same author

Long-term ocular symptoms following COVID-19 linked to immune dysregulation, dysautonomia and peripheral neuropathy.

Nature communications·2026
Same author

Effects of Rice Straw Incorporation on Paddy Soil Microbiome and Metabolome Throughout the Crop Growth Period.

Microorganisms·2026
Same author

Identifying risk factors for adverse drug reactions in HIV/AIDS patients using LASSO regression modeling.

BMC infectious diseases·2026
Same author

Neuroimaging Mechanisms and Neuromodulation Strategies for Neuropsychiatric Disorders.

Current neuropharmacology·2026
Same author

Differentiation of arterioles and capillaries in human blood vessel organoids with decellularized splenic matrix.

Bioactive materials·2026

Related Experiment Video

Updated: Dec 7, 2025

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

6.2K

Interaction design for multi-user virtual reality systems: An automotive case study.

Liang Gong1, Henrik Söderlund1, Leonard Bogojevic1

  • 1Chalmers University of Technology, Gothenburg 41296, Sweden.

Procedia CIRP
|September 28, 2020
PubMed
Summary

This study explores human-computer interaction design strategies for multi-user virtual reality (VR) systems in manufacturing. Findings offer insights for improving collaborative VR experiences in industrial settings.

Keywords:
AutomotiveMulti-userVirtual realityinteraction design

More Related Videos

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

1.5K
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

2.9K

Related Experiment Videos

Last Updated: Dec 7, 2025

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

6.2K
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

1.5K
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

2.9K

Area of Science:

  • Manufacturing Technology
  • Human-Computer Interaction
  • Virtual Reality Applications

Background:

  • Virtual Reality (VR) technology is increasingly mature, showing benefits in manufacturing areas like factory layout, product design, and training.
  • New VR possibilities necessitate novel human-computer interaction (HCI) design strategies for effective system integration.
  • Effective HCI design is crucial for the successful adoption and utilization of VR in industrial contexts.

Purpose of the Study:

  • To investigate and propose effective interaction design strategies for multi-user VR systems within a manufacturing environment.
  • To address the challenges and opportunities presented by HCI in collaborative VR settings for industry.
  • To enhance the usability and integration of VR technologies in manufacturing workflows.

Main Methods:

  • The study employed an automotive case study to examine interaction design strategies.
  • Qualitative and/or quantitative methods were used to analyze user interactions within a multi-user VR system.
  • Focus on real-world application to validate design strategies in a manufacturing context.

Main Results:

  • Identified key interaction design principles for multi-user VR in manufacturing.
  • Demonstrated the impact of specific HCI strategies on collaboration and system efficiency.
  • Highlighted successful and challenging aspects of current VR interaction designs in the automotive sector.

Conclusions:

  • Effective HCI design is paramount for successful multi-user VR implementation in manufacturing.
  • The proposed strategies can enhance collaborative work and user experience in industrial VR.
  • Further research into adaptive and intuitive interaction designs is recommended for advanced VR systems.