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

Pinsheng Duan (School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China)
Jianliang Zhou (School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China)
Wenhan Fan (School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China) (Shanxi Vocational and Technical College of Finance and Trade, Taiyuan, China)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 30 August 2022

Issue publication date: 2 January 2024

329

Abstract

Purpose

Effective 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/approach

This 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.

Findings

The 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/value

First, 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.

Keywords

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant number 72171224, 71871116), The Humanities and Social Sciences Foundation of China's Education Ministry (Grant number 19YJAZH122) and the Doctor Joint-Training Program of China Scholarship Council (Grant number 202106420087). The authors would also like to thank the editors and reviewers for their valuable suggestions.

Citation

Duan, P., Zhou, J. and Fan, W. (2024), "Safety tag generation and training material recommendation for construction workers: a persona-based approach", Engineering, Construction and Architectural Management, Vol. 31 No. 1, pp. 115-135. https://doi.org/10.1108/ECAM-12-2021-1143

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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