Virtual Reality Design Features That Impact the Efficiency and Accuracy of Electrical Workforce Training Scenarios

Xiaohui Wang, John I. Messner, Robert M. Leicht, Andrew Mackey

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

Abstract

Workplace safety, particularly electrical hazards, is crucial in the construction industry, with electrical issues among the top causes of construction fatalities. Energy storage systems (ESS) and microgrids pose significant risks to workers lacking proper knowledge of large-scale batteries. Virtual reality (VR) has proven to be effective in improving specific knowledge and skills in various domains and has demonstrated potential for effective training, especially when access to ESS facilities is limited. To achieve educational effectiveness comparable to hands-on training, VR modules must consider specific design features. This study assessed an immersive VR module for training electrical workers in battery assembly and connection. Participants completed identical tasks twice: once in VR and once with physical components. Researchers recorded and analyzed participants' behavior, comparing the efficiency of VR and physical training through video coding analysis to identify crucial VR design features impacting educational effectiveness. While physical training currently demonstrates greater accuracy and efficiency, there is potential for VR training to improve through focused design enhancements. Addressing challenges and implementing design improvements will enhance VR training's value across diverse fields.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering 2023
Subtitle of host publicationData, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023
EditorsYelda Turkan, Joseph Louis, Fernanda Leite, Semiha Ergan
PublisherAmerican Society of Civil Engineers (ASCE)
Pages623-631
Number of pages9
ISBN (Electronic)9780784485224
DOIs
StatePublished - 2024
EventASCE International Conference on Computing in Civil Engineering 2023: Data, Sensing, and Analytics, i3CE 2023 - Corvallis, United States
Duration: Jun 25 2023Jun 28 2023

Publication series

NameComputing in Civil Engineering 2023: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023

Conference

ConferenceASCE International Conference on Computing in Civil Engineering 2023: Data, Sensing, and Analytics, i3CE 2023
Country/TerritoryUnited States
CityCorvallis
Period6/25/236/28/23

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Civil and Structural Engineering

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