Evaluating the impact of mental workload on drillers' risk perception using wearable eye-tracking technology.
Drilling accidents can lead to substantial financial losses, reputational damage, and even pose serious threats to human life. Existing research indicates that most drilling incidents are related to human factors, but the influence of mental workload on drillers' risk perception in well control rema...
| Published in: | Behaviour & Information Technology Vol. 45; no. 11; pp. 2660 - 2680 |
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| Main Authors: | , , , , , , , , |
| Format: | pictorial research tables/charts Journal Article |
| Published: |
Taylor & Francis Ltd
Jul2026
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=195034169&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195034169 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0144929X B6Q jtl: Behaviour & Information Technology issn: 0144929X maglogo: Y pubinfo: dt: Jul2026 vid: 45 iid: 11 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 195034169 189448020 195034169 195034169 10.1080/0144929X.2025.2590088 195034169 ppf: 2660 ppct: 20 formats: tig: atl: Evaluating the impact of mental workload on drillers' risk perception using wearable eye-tracking technology. aug: au: Hao, Su Jiaxin, Jiang Siping, Fan Jian, Wang Ruiying, Xie Lifei, Xu Xiaoqin, Wang Xin, Qing Yuqi, Song affil: School of Economics and Management, Southwest Petroleum University, Chengdu, People's Republic of China sug: subj: Blue Collar Workers Psychosocial Factors Attitude to Risk Evaluation Workload Mental Health Eye Movement Measurements Wearable Sensors Utilization Cognition Evaluation Human Female Male Young Adult Adult Middle Age Field Studies Reaction Time Validity Attention Paired T-Tests Task Performance and Analysis Wilcoxon Signed Rank Test Multiple Linear Regression Data Analysis Software Descriptive Statistics Funding Source Adult: 19-44 years Middle Aged: 45-64 years Female Male ab: Drilling accidents can lead to substantial financial losses, reputational damage, and even pose serious threats to human life. Existing research indicates that most drilling incidents are related to human factors, but the influence of mental workload on drillers' risk perception in well control remains underexplored. To address this gap, the present study employed a Sustained Attention to Response Task (SART) paradigm and eye-tracking technology to investigate the effects of cognitive load. A total of 48 drilling workers participated in simulated monitoring tasks under low and high workload conditions. The results demonstrated that eye-tracking indicators – including fixation, saccade, and pupil diameter measures – accurately reflect variations in mental workload. Furthermore, analysis of task performance and fixation entropy revealed that increased mental workload significantly impairs drillers' ability to perceive well control risks. These findings not only support the broader application of eye-tracking technology in the oil drilling industry, but more importantly, provide a solid foundation for developing effective safety interventions and attention-guided training strategies to reduce drilling-related accidents. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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