A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Design and Development of SAVES: A Construction Safety Training Augmented Virtuality Environment for Hazard Recognition and Severity Identification
One of the most challenging aspects of safety for construction sites is ensuring that workers can predict, identify, and respond to potential hazardous conditions before they are exposed. From a scientific standpoint, we currently lack the knowledge of discovering the most efficient training styles for safety and also understanding why and how these styles of training can influence the post-training activities. To address these needs, a System for Augmented Virtuality Environment Safety (SAVES) is designed and presented in this paper. SAVES, which integrates a BIM with 2D images on a jobsite, allows trainees to conduct a set of interactions with SAVES and accomplish multiple instruction-based and task-based training modules. These modules include detection of ten types of hazard and/or energy sources at three levels of severity. The complete process of design, development and implementation of SAVES is demonstrated and the lessons learned are discussed in detail.
Design and Development of SAVES: A Construction Safety Training Augmented Virtuality Environment for Hazard Recognition and Severity Identification
One of the most challenging aspects of safety for construction sites is ensuring that workers can predict, identify, and respond to potential hazardous conditions before they are exposed. From a scientific standpoint, we currently lack the knowledge of discovering the most efficient training styles for safety and also understanding why and how these styles of training can influence the post-training activities. To address these needs, a System for Augmented Virtuality Environment Safety (SAVES) is designed and presented in this paper. SAVES, which integrates a BIM with 2D images on a jobsite, allows trainees to conduct a set of interactions with SAVES and accomplish multiple instruction-based and task-based training modules. These modules include detection of ten types of hazard and/or energy sources at three levels of severity. The complete process of design, development and implementation of SAVES is demonstrated and the lessons learned are discussed in detail.
Design and Development of SAVES: A Construction Safety Training Augmented Virtuality Environment for Hazard Recognition and Severity Identification
Chen, Ao (author) / Golparvar-Fard, Mani (author) / Kleiner, Brian (author)
ASCE International Workshop on Computing in Civil Engineering ; 2013 ; Los Angeles, California
Computing in Civil Engineering (2013) ; 841-848
2013-06-24
Conference paper
Electronic Resource
English
| British Library Conference Proceedings | 2013
Enhancing Construction Hazard Recognition with High-Fidelity Augmented Virtuality
| British Library Online Contents | 2014