Cognition: Effects of Cognitive Workload on Driving Performance: A Comparison of Novice and Experienced Drivers in Underground Coal Mine Transport Vehicles.
{"title":"Cognition: Effects of Cognitive Workload on Driving Performance: A Comparison of Novice and Experienced Drivers in Underground Coal Mine Transport Vehicles.","authors":"Xueyi Li, Yangcheng Wang, Yonghong Liu","doi":"10.1177/00187208261478474","DOIUrl":null,"url":null,"abstract":"<p><p>ObjectiveTo examine how cognitive workload influences physiological responses, driving performance, and subjective workload in underground coal mine transport, with comparisons between novice and experienced drivers.BackgroundCognitive workload is a key determinant of safety and performance in high-risk driving environments. However, little is known about how driver experience shapes responses to workload demands in underground coal mine transport operations.MethodsSixty drivers (30 novices, 30 experienced) participated in four experimental conditions (baseline, warning stimulus, distraction, dual-task). Data from 54 participants were included in the final analysis after excluding unusable recordings. Physiological indicators (heart rate, heart rate variability, respiratory rate, and variability), driving performance metrics, and subjective workload (NASA-TLX) were analyzed. Linear mixed models were applied to examine relationships among workload, physiology, and performance.ResultsIncreased workload elevated physiological strain and subjective demand while impairing driving performance. Novices exhibited a linear decline in performance, whereas experienced drivers showed possible nonlinear workload-performance patterns.ConclusionDriver experience moderates the workload-performance relationship. Integrating physiological, performance, and subjective indicators provides a more comprehensive understanding of workload effects in underground driving contexts.ApplicationFindings can guide the development of adaptive driver support systems that dynamically respond to workload fluctuations, enhancing safety, reducing errors, and improving operational efficiency in high-risk mining transport environments.</p>","PeriodicalId":56333,"journal":{"name":"Human Factors","volume":" ","pages":"187208261478474"},"PeriodicalIF":3.6000,"publicationDate":"2026-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Factors","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/00187208261478474","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BEHAVIORAL SCIENCES","Score":null,"Total":0}
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Abstract
ObjectiveTo examine how cognitive workload influences physiological responses, driving performance, and subjective workload in underground coal mine transport, with comparisons between novice and experienced drivers.BackgroundCognitive workload is a key determinant of safety and performance in high-risk driving environments. However, little is known about how driver experience shapes responses to workload demands in underground coal mine transport operations.MethodsSixty drivers (30 novices, 30 experienced) participated in four experimental conditions (baseline, warning stimulus, distraction, dual-task). Data from 54 participants were included in the final analysis after excluding unusable recordings. Physiological indicators (heart rate, heart rate variability, respiratory rate, and variability), driving performance metrics, and subjective workload (NASA-TLX) were analyzed. Linear mixed models were applied to examine relationships among workload, physiology, and performance.ResultsIncreased workload elevated physiological strain and subjective demand while impairing driving performance. Novices exhibited a linear decline in performance, whereas experienced drivers showed possible nonlinear workload-performance patterns.ConclusionDriver experience moderates the workload-performance relationship. Integrating physiological, performance, and subjective indicators provides a more comprehensive understanding of workload effects in underground driving contexts.ApplicationFindings can guide the development of adaptive driver support systems that dynamically respond to workload fluctuations, enhancing safety, reducing errors, and improving operational efficiency in high-risk mining transport environments.
期刊介绍：
Human Factors: The Journal of the Human Factors and Ergonomics Society publishes peer-reviewed scientific studies in human factors/ergonomics that present theoretical and practical advances concerning the relationship between people and technologies, tools, environments, and systems. Papers published in Human Factors leverage fundamental knowledge of human capabilities and limitations – and the basic understanding of cognitive, physical, behavioral, physiological, social, developmental, affective, and motivational aspects of human performance – to yield design principles; enhance training, selection, and communication; and ultimately improve human-system interfaces and sociotechnical systems that lead to safer and more effective outcomes.
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