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IEEE VR2022顶会

Synthesizing Personalized Construction Safety Training Scenarios for VR Training

Wanwan Li, Haikun Huang, Tomay Solomon, Behzad Esmaeili, Lap-Fai Yu

2022年份
79被引次数

摘要

Construction industry has the largest number of preventable fatal injuries, providing effective safety training practices can play a significant role in reducing the number of fatalities. Building on recent advancements in virtual reality-based training, we devised a novel approach to synthesize construction safety training scenarios to train users on how to proficiently inspect the potential hazards on construction sites in virtual reality. Given the training specifications such as individual training preferences and target training time, we synthesize personalized VR training scenarios through an optimization approach. We validated our approach by conducting user studies where users went through our personalized guidance VR training, free exploration VR training, or slides training. Results suggest that personalized guidance VR training approach can more effectively improve users' construction hazard inspection skills.

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