Group-based VR Training to Improve Hazard Recognition, Evaluation, and Control for Highway Construction Workers

dc.contributor.authorRoofigari-Esfahan, Nazilaen
dc.contributor.authorPorterfield, Curten
dc.contributor.authorOgle, Jeffreyen
dc.contributor.authorUpthegrove, Tanneren
dc.contributor.authorLee, Sangen
dc.contributor.authorJeon, Myounghoonen
dc.date.accessioned2025-01-10T14:40:15Zen
dc.date.available2025-01-10T14:40:15Zen
dc.date.issued2022-03-11en
dc.description.abstractThe construction industry spends approximately 15billion/year for occupational injuries, and highway sector is the most dangerous. Highway construction workers have to work in close proximity to construction equipment and high-speed traffic, exposing them to an elevated risk of serious injuries/fatalities. Safety training has a direct impact on the prevention of construction accidents. The traditional lecture-based construction training curriculum has not been revisited and is designed to train the workers individually, thus the benefits of collective engagement in worker training is ignored. High-engagement Virtual Reality (VR) environments offer a more effective learning experience for training workers to identify hazards in the job site. We present a training platform for instructor-in-the-loop, group-based VR training to complement and increase the effectiveness of the current training program for highway workers. We develop a VR platform in which an instructor can create and improvise on work zone scenarios and share the virtual scenario easily with the entire class.en
dc.description.notesYes, full paper (Peer reviewed?)en
dc.description.versionAccepted versionen
dc.format.extentPages 504-507en
dc.format.extent4 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1109/VRW55335.2022.00114en
dc.identifier.orcidRoofigari-Esfahan, Nazila [0000-0003-0466-0893]en
dc.identifier.orcidOgle, Jeffrey [0000-0003-2940-3594]en
dc.identifier.orcidLee, Sang Won [0000-0002-1026-315X]en
dc.identifier.orcidJeon, Myounghoon [0000-0003-2908-671X]en
dc.identifier.urihttps://hdl.handle.net/10919/124121en
dc.identifier.volume00en
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urihttps://doi.org/10.1109/vrw55335.2022.00114en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleGroup-based VR Training to Improve Hazard Recognition, Evaluation, and Control for Highway Construction Workersen
dc.title.serial2022 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS (VRW 2022)en
dc.typeConference proceedingen
dc.type.dcmitypeTexten
dc.type.otherProceedings Paperen
dc.type.otherBooken
pubs.finish-date2022-03-16en
pubs.organisational-groupVirginia Techen
pubs.organisational-groupVirginia Tech/Engineeringen
pubs.organisational-groupVirginia Tech/Engineering/Computer Scienceen
pubs.organisational-groupVirginia Tech/Engineering/Industrial and Systems Engineeringen
pubs.organisational-groupVirginia Tech/Libraryen
pubs.organisational-groupVirginia Tech/All T&R Facultyen
pubs.organisational-groupVirginia Tech/Engineering/COE T&R Facultyen
pubs.organisational-groupVirginia Tech/Library/Research, Learning, and Informaticsen
pubs.organisational-groupVirginia Tech/Engineering/Myers-Lawson School of Constructionen
pubs.start-date2022-03-12en

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Nazila Roofigari-Group-based VR Highway Training-Final.pdf
Size:
678.73 KB
Format:
Adobe Portable Document Format
Description:
Accepted version
License bundle
Now showing 1 - 1 of 1
Name:
license.txt
Size:
1.5 KB
Format:
Plain Text
Description: