Safety Immersive Storytelling Videos Using Virtual Humans and 360-Degree Panoramas: A Pilot Study of Fall Hazard Training with Residential Construction Professionals
Document Type
Conference Proceeding
Publication Date
1-25-2024
Department
Department of Civil, Environmental, and Geospatial Engineering
Abstract
This study investigates the use of immersive storytelling videos that leverage virtual humans and 360-degree panoramas to deliver easy-to-access learning contents for construction safety training. A pilot study using a pretest-posttest design was completed with residential construction professionals to understand the safety learning, hazard identification, and usability from interacting with immersive training videos. A 1-h training session was held with eight participants with over five years of experience in residential construction trade work (e.g., laborer, carpenter, and plumber). Metrics regarding safety learning, hazard identification, and usability were collected from participants using surveys. The results showed significant statistical differences in the safety learning scores. However, no statistically significant differences were found for the hazard identification scores. Participants rated the immersive storytelling videos as highly usable. It was concluded that immersive safety storytelling provides an easy-to-access and effective method for construction professionals to learn safety concepts through using 360-degree interactive videos.
Publication Title
Computing in Civil Engineering 2023: Resilience, Safety, and Sustainability - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023
ISBN
9780784485248
Recommended Citation
Isingizwe, J.,
Eiris, R.,
&
Al-Bayati, A.
(2024).
Safety Immersive Storytelling Videos Using Virtual Humans and 360-Degree Panoramas: A Pilot Study of Fall Hazard Training with Residential Construction Professionals.
Computing in Civil Engineering 2023: Resilience, Safety, and Sustainability - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023, 366-374.
http://doi.org/10.1061/9780784485248.044
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p2/550