A study of the relationship between EEG and situation awareness of forklift drivers in task scenarios with different complexities.
Situation awareness (SA) loss in forklift operations is a major human error source. Accurately assessing the SA levels of forklift drivers is essential. While physiological sensors such as electroencephalography (EEG) have been proposed to measure SA, the EEG–SA relationship remains unclear. This st...
| Publicado en: | International Journal of Occupational Safety & Ergonomics Vol. 32; no. 1; pp. 11 - 27 |
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| Autores principales: | , , , , , |
| Formato: | pictorial research tables/charts tracings Journal Article |
| Publicado: |
Taylor & Francis Ltd
Mar2026
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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=191765777&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 191765777 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10803548 39QK jtl: International Journal of Occupational Safety & Ergonomics issn: 10803548 maglogo: N pubinfo: dt: Mar2026 vid: 32 iid: 1 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 191765777 185096831 191765777 191765777 10.1080/10803548.2025.2498226 191765777 ppf: 11 ppct: 16 formats: tig: atl: A study of the relationship between EEG and situation awareness of forklift drivers in task scenarios with different complexities. aug: au: Kang, Yutao Tao, Yaojie Wu, Jianjun Jiao, Yu Liu, Feng Huang, Wei affil: College of Ocean Science and Engineering, Shanghai Maritime University, China sug: subj: Electroencephalography Cognition Evaluation Blue Collar Workers Vehicle Operation Task Performance and Analysis Human Male Adult Middle Age Occupational Health Occupational Safety China Descriptive Statistics Funding Source Scales Adult: 19-44 years Middle Aged: 45-64 years Male ab: Situation awareness (SA) loss in forklift operations is a major human error source. Accurately assessing the SA levels of forklift drivers is essential. While physiological sensors such as electroencephalography (EEG) have been proposed to measure SA, the EEG–SA relationship remains unclear. This study analyzed EEG data from 11 forklift operators, comparing EEG states between high and low SA groups. Using permutation tests, the study assessed multi-band EEG correlations (F, C, P, O regions) with SA and examined how scenario complexity influenced these relationships. Results revealed distinct EEG patterns (θ, α and β waves in F, C, P and O regions) between high and low SA groups: θ / β, θ / (α + β) in the C and P regions, and θ / β, (α + θ) / (α + β) in the O region consistently correlating with SA across scenarios – and these indicators strengthened with scenario complexity. The findings advance EEG-based SA assessment, aiding accurate SA measurement in real-world settings. pubtype: Academic Journal doctype: pictorial research tables/charts tracings Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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