Safety tag generation and training material recommendation for construction workers: a persona-based approach

Abstract

PurposeEffective construction safety training has been considered to play a significant role in reducing the incidence of accidents. However, the current safety training methods pay less attention to the relationship between workers' personalized characteristics and their learning needs, which results in workers' low learning participation and poor training effect. The purpose of this paper is to improve the participation and effect of safety training for construction workers with a persona-based approach.Design/methodology/approachThis paper presents a persona-based approach to safety tag generation and training material recommendation. By extracting the demographic characteristics and behavior patterns tags of construction workers, a neural network algorithm is introduced to calculate the learning needs tags of workers, and the collaborative filtering recommendation method is integrated to enrich the innovation of recommendation results. Offline experiments and online experiments are designed to verify the rationality of the proposed method.FindingsThe results show that the learning needs of workers are closely related to their background. The proposed method can effectively improve workers' interest in materials and the training effect compared with conventional safety training methods. The research provides a theoretical and practical reference for promoting active safety management and achieving worker-centered safety management.Originality/valueFirst, a persona-based approach is introduced to establish a novel framework for solving the problem of personalized construction safety management. Second, an artificial intelligence algorithm is used to automatically extract the learning needs tag values and design a hybrid recommendation method for construction workers' personalized safety training. The collaborative filtering method is integrated to enrich the innovation of recommendation results.

A Linked Data and Ontology-Based Framework for Enhanced Sharing of Safety Training Materials in the Construction Industry

“…Concurrently, another strand of work has emerged, focused on customized safety training to meet workers specific needs. Studies have proposed personalized feedback for VR training [31], [32], optimization-based VR training scene synthesis [33] and training content recommendation based on workers' personal characteristics and learning needs [6]. Undoubtedly, significant advances have been made to address the shortcomings of conventional pedagogic approaches in construction safety training.…”

“…Construction workers require safety training to acquire the necessary knowledge and skills to identify and mitigate potential hazards in their work environments. This, in turn, enables them to work safely and minimize the risk of accidents and injuries [6]. The effectiveness of safety training initiatives is contingent on the provision of appropriate educational materials; however, in practice, numerous challenges inhibit the retrieval of safety training materials that are appropriate for specific worker and jobsite needs.…”

Willingness to accept metaverse safety training for construction workers based on extended UTAUT

“…Specifically, the knowledge gaps include: (1) What factors affect the construction workers' WAMST? (2) How do these factors affect the construction workers' WAMST? (3) What is the relationship among these factors?…”

“…Safety training (ST) for construction workers represents a topic of intense interest for policymakers and academics alike ( 1 , 2 ). In order to fully demonstrate the characteristics, advantages, and disadvantages of safety training in different countries and cultural backgrounds, Singapore, China and the United Kingdom are representative.…”