A personalized safety training system for construction workers

Abstract

Safety training for construction workers is believed to be an important approach to improve construction safety through reducing unsafe behaviour. Various research efforts have improved safety training by adapting training materials to workers' language capacities, applying information and communication technology in safety training to improve its efficiency, encouraging safety communication from foremen and co-workers, among others. However, limited research has been identified to analyse construction worker cognitive capabilities and improve their ability to learn. Therefore, this research proposed a personalized learning system to adapt safety training to every workers' learning ability and avoid the "one-size-fits-all" approach in safety training. Based on identified characteristics of construction workers' learning process, this research developed a recommendation algorithm to push training materials to workers according to their trades, workings activities, risk sources on site, and learning ability.