Design and development of SAVES: A construction safety training augmented virtuality environment for hazard recognition and severity identification

Ao Chen, Mani Golparvar Fard, Brian Kleiner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering - Proceedings of the 2013 ASCE International Workshop on Computing in Civil Engineering
Pages841-848
Number of pages8
StatePublished - Nov 15 2013
Event2013 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2013 - Los Angeles, CA, United States
Duration: Jun 23 2013Jun 25 2013

Publication series

NameComputing in Civil Engineering - Proceedings of the 2013 ASCE International Workshop on Computing in Civil Engineering

Other

Other2013 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2013
CountryUnited States
CityLos Angeles, CA
Period6/23/136/25/13

ASJC Scopus subject areas

  • Civil and Structural Engineering

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