Research on psychophysiological characteristics of construction workers during consciously unsafe behaviors
Workers' unsafe behavior is a primary cause leading to falling accidents on construction sites. This study aimed to explore how to utilize psychophysiological characteristics to predict consciously unsafe behaviors of construction workers. In this paper, a psychological questionnaire was compil...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-10-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023076922 |
| _version_ | 1827780318250139648 |
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| author | Xiangchun Li Yuzhen Long Chunli Yang Qin Li Weidong Lu Jiaxing Gao |
| author_facet | Xiangchun Li Yuzhen Long Chunli Yang Qin Li Weidong Lu Jiaxing Gao |
| author_sort | Xiangchun Li |
| collection | DOAJ |
| description | Workers' unsafe behavior is a primary cause leading to falling accidents on construction sites. This study aimed to explore how to utilize psychophysiological characteristics to predict consciously unsafe behaviors of construction workers. In this paper, a psychological questionnaire was compiled to measure risky psychology, and wireless wearable physiological recorders were employed to real-timely measure the physiological signals of subjects. The psychological and physiological characteristics were identified by correlation analysis and significance test, which were then utilized to develop unsafe behavior prediction models based on multiple linear regression and decision tree regressor. It was revealed that unsafe behavior performance was negatively correlated with task-related risk perception, while positively correlated with hazardous attitude. Subjects experienced remarkable increases in skin conductivity, while notable decreases in the inter-beat interval and skin temperature during consciously unsafe behavior. Both models developed for predicting unsafe behavior were reliably and well-fitted with coefficients of determination higher than 0.8. Whereas, each model exhibited its unique advantages in terms of prediction accuracy and interpretability. Not only could study results contribute to the body of knowledge on intrinsic mechanisms of unsafe behavior, but also provide a theoretical basis for the automatic identification of workers’ unsafe behavior. |
| first_indexed | 2024-03-11T15:03:53Z |
| format | Article |
| id | doaj.art-7589466f5dec44adaae2d8462545a0a2 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-03-11T15:03:53Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-7589466f5dec44adaae2d8462545a0a22023-10-30T06:06:17ZengElsevierHeliyon2405-84402023-10-01910e20484Research on psychophysiological characteristics of construction workers during consciously unsafe behaviorsXiangchun Li0Yuzhen Long1Chunli Yang2Qin Li3Weidong Lu4Jiaxing Gao5School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing, 100083, China; State Key Laboratory of Explosion Science and Technology (Beijing Institute of Technology), Beijing, 100081, ChinaSchool of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing, 100083, China; Corresponding author. Ding No.11 Xueyuan Road, Haidian District, Beijing 100083, China.Occupational Hazards Control Technology Center, Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing, 100054, ChinaBeijing Shunjinsheng Construction Engineering Supervision Co., Ltd., Beijing, 101399, ChinaDepartment of Safety Engineering, Xinjiang Institute of Engineering, Urumqi, 830023, ChinaHubei University of Automotive Technology, Shiyan, 442002, ChinaWorkers' unsafe behavior is a primary cause leading to falling accidents on construction sites. This study aimed to explore how to utilize psychophysiological characteristics to predict consciously unsafe behaviors of construction workers. In this paper, a psychological questionnaire was compiled to measure risky psychology, and wireless wearable physiological recorders were employed to real-timely measure the physiological signals of subjects. The psychological and physiological characteristics were identified by correlation analysis and significance test, which were then utilized to develop unsafe behavior prediction models based on multiple linear regression and decision tree regressor. It was revealed that unsafe behavior performance was negatively correlated with task-related risk perception, while positively correlated with hazardous attitude. Subjects experienced remarkable increases in skin conductivity, while notable decreases in the inter-beat interval and skin temperature during consciously unsafe behavior. Both models developed for predicting unsafe behavior were reliably and well-fitted with coefficients of determination higher than 0.8. Whereas, each model exhibited its unique advantages in terms of prediction accuracy and interpretability. Not only could study results contribute to the body of knowledge on intrinsic mechanisms of unsafe behavior, but also provide a theoretical basis for the automatic identification of workers’ unsafe behavior.http://www.sciencedirect.com/science/article/pii/S2405844023076922Risky psychologyPhysiological characteristicMultiple linear regressionDecision tree regressorUnsafe behavior prediction |
| spellingShingle | Xiangchun Li Yuzhen Long Chunli Yang Qin Li Weidong Lu Jiaxing Gao Research on psychophysiological characteristics of construction workers during consciously unsafe behaviors Heliyon Risky psychology Physiological characteristic Multiple linear regression Decision tree regressor Unsafe behavior prediction |
| title | Research on psychophysiological characteristics of construction workers during consciously unsafe behaviors |
| title_full | Research on psychophysiological characteristics of construction workers during consciously unsafe behaviors |
| title_fullStr | Research on psychophysiological characteristics of construction workers during consciously unsafe behaviors |
| title_full_unstemmed | Research on psychophysiological characteristics of construction workers during consciously unsafe behaviors |
| title_short | Research on psychophysiological characteristics of construction workers during consciously unsafe behaviors |
| title_sort | research on psychophysiological characteristics of construction workers during consciously unsafe behaviors |
| topic | Risky psychology Physiological characteristic Multiple linear regression Decision tree regressor Unsafe behavior prediction |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023076922 |
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