Mechanism of cognitive style effects on hazard recognition of construction workers: A machine learning-aided approach.
Background: Hazard recognition is a critical skill for construction workers and primarily consists of two stages: visual search and cognitive processes. Cognitive style, categorized as field-dependent (FD) and field-independent (FI), significantly influences this process. FD individuals rely more on...
| Publicado en: | Work Vol. 82; no. 3; pp. 830 - 845 |
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| Autores principales: | , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Nov2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=189650143&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189650143 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10519815 3RC jtl: Work issn: 10519815 maglogo: N pubinfo: dt: Nov2025 vid: 82 iid: 3 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 189650143 186145932 189650143 189650143 10.1177/10519815251351289 189650143 ppf: 830 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Mechanism of cognitive style effects on hazard recognition of construction workers: A machine learning-aided approach. aug: au: Sun, Linhui Zhang, Huiling Li, Wenqin Yuan, Xiaofang affil: College of Management, Xi'an University of Science and Technology, Xi'an, 710054, China sug: subj: Cognition Occupational Hazards Adverse Effects Construction Industry Machine Learning Methods Field Studies Occupational Safety Methods Blue Collar Workers China Human Male Adult Middle Age China Validation Studies Occupational Hazards Risk Factors Occupational Hazards Prevention and Control Risk Assessment Occupational Health Descriptive Statistics Comparative Studies Data Analysis Software Electroencephalography Greenhouse Gases Two-Way Analysis of Variance Questionnaires Behavioral Research Eye Movement Measurements Evaluation Cues Evoked Potentials Adult: 19-44 years Middle Aged: 45-64 years Male ab: Background: Hazard recognition is a critical skill for construction workers and primarily consists of two stages: visual search and cognitive processes. Cognitive style, categorized as field-dependent (FD) and field-independent (FI), significantly influences this process. FD individuals rely more on external cues and contextual information, while FI individuals are more detail-oriented and analytical. However, the mechanism by which the cognitive style affects this efficiency remains unclear. Objective: This study aimed to clarify the impact mechanisms of FD and FI on hazard recognition and to validate these mechanisms using machine learning. Methods: This study used eye-tracking and electroencephalography technology to quantify these two stages. The experiment was conducted with hazard recognition as the task and involved 40 participants divided into FD and FI groups. Subsequently, statistical methods were used to compare identification performance, eye-tracking features, and event-related potentials among participants with different cognitive styles. Finally, we applied multiple machine learning algorithms to further verify the impact of the cognitive style on hazard recognition. Results: FI individuals were faster in hazard recognition than FD individuals, whereas FD individuals were more accurate than FI individuals. Cognitive style mainly affects hazard recognition by affecting the visual search phase. Conclusions: Based on machine learning and multimodal data analysis, this study provides a new perspective for understanding the relationship between cognitive style and hazard recognition. The findings offer a scientific basis for assessing workers' hazard recognition capabilities and implementing personalized intervention management. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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