The objective of this proposal is to study how emerging Augmented Reality (AR) and Building Information Modeling (BIM) technologies can be integrated to increase human performance by improving the retraining of construction workers for retrofitting and repurposing buildings. A widely recognized problem is the growing population of displaced construction and maintenance works due to automation and artificial intelligence.
Additionally, the U.S. demolishes and replaces one billion square feet of building stock with new structures. The impact of the waste produced by the demolition of these buildings on the environment is significant and costly as such materials are often not recycled and are landfilled. Retrofitting construction projects are gaining in popularity because they increase a structure’s lifespan, preserve historic elements, and minimize waste.
This proposal addresses these critical needs by studying how to help workers more easily transfer trade skills and effectively increase problem-solving skills for retrofitting and repurposing building structures. The investigators will study how AR and BIM increase skill development, productivity, and efficiency to help promote the future of work at the human technology frontier in Architecture, Engineering, and Construction (AEC).
Funding: National Science Foundation
Investigators
- Roger Azevedo, Ph.D.
- Professor in the School of Modeling Simulation and Training
- Roger.Azevedo@ucf.edu