认知性VDT持续监控作业人因可靠性动态预测方法
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摘要
结合N-back任务范式和持续操作测试(CPT)任务范式,设计出模拟认知性VDT持续监控作业的实验.根据实验数据:分别对脑力负荷评估指标体系中的6个评估指标在20个作业时间段的均值进行方差分析,差异显著;训练非线性自回归神经网络模型(NAR),对不同作业时间段脑力负荷在评估指标上发生的变化进行动态预测;再结合认知性VDT持续监控作业人因可靠性评估模型对人因可靠性概率进行预测.研究结果表明:该方法可动态预测不同时间段作业者的人因可靠性,实现认知性VDT持续监控作业任务的动态分配,提高系统可靠性.
The experiment was designed base on N-back paradigm and CPT paradigm, which can simulate cognitive monitoring tasks. By using variance analysis method, we found that the mean values of the 6 mental workload assessment indicators were significantly different in the 20 working time periods. 6 nonlinear auto regressive(NAR) networks were trained for dynamic prediction of 6 indicators' value, and then the possibility of human reliability could be predicted by combining the human reliability evaluation model. The result shows that the method can predict the human reliability and assign task of VDT cognitive monitoring operating systems dynamically.
The experiment was designed base on N-back paradigm and CPT paradigm, which can simulate cognitive monitoring tasks. By using variance analysis method, we found that the mean values of the 6 mental workload assessment indicators were significantly different in the 20 working time periods. 6 nonlinear auto regressive(NAR) networks were trained for dynamic prediction of 6 indicators' value, and then the possibility of human reliability could be predicted by combining the human reliability evaluation model. The result shows that the method can predict the human reliability and assign task of VDT cognitive monitoring operating systems dynamically.
引文
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[3] Jeffrey R, Maxwell F, Joseph P. Effectiveness of a VDT ergonomics training program[J]. International Journal of Industrial Ergonomics, 2001, 27(2):119-131.
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[6]张德乾,张智君,仰和芝.计算机模拟视觉监视警戒作业的颜色警示与声音警示效应[J].心理科学,2010,33(4):831-834.
[7]左娟,李永建.记忆负荷对警戒工效影响的ERP研究[J].安全与环境学报,2016, 16(3):188-192.
[8] Parasuraman R. Neuroergonomics brain, cognition, and performance at work[J]. Current Directions in Psychological Science, 2011, 20(3):181-186.
[9] Salvendy G. Handbook of human factors and ergonomics[M]. Indianapolis:John Wiley Sons, 2012:738.
[10] Meister D. The history of human factors and ergonomics[M]. New Jersey:Lawrence Erlbaum Associates, Inc., Publishers, 1996:58-61.
[11]岳新征,李磊民,孙飞.基于NAR动态神经网络的石英挠性加速度表参数建模与预测[J].西南科技大学学报,2016, 31(1):88-92.
[12] Cheng B, Tong H, On consist non-parametric order determination and chaos(with discussion)[J].Journal of the Royal Statistical Society, 1992, 54(2):427-474.
[13]李金波,许百华.人机交互过程中认知负荷的综合测评方法[J].心理学报,2009, 41(1):35-43.
[2]廖斌,冯海芹,滕卉敏等.认知性VDT持续监控作业人因可靠性评估模型研究[J].中国安全科学学报,2016, 26(5):53-58.
[3] Jeffrey R, Maxwell F, Joseph P. Effectiveness of a VDT ergonomics training program[J]. International Journal of Industrial Ergonomics, 2001, 27(2):119-131.
[4] Mosleh A, Chang Yahai. Model-based human reliability analysis:Prospects and requirements[J].Reliability Engineering and System Safety, 2004, 83:241-253.
[5] Vitense H S, Aeko J A, Emery V K. Multi modal feedback:An Assessment of Performance and mental workload[J]. Ergonomies, 2003(46):124-130.
[6]张德乾,张智君,仰和芝.计算机模拟视觉监视警戒作业的颜色警示与声音警示效应[J].心理科学,2010,33(4):831-834.
[7]左娟,李永建.记忆负荷对警戒工效影响的ERP研究[J].安全与环境学报,2016, 16(3):188-192.
[8] Parasuraman R. Neuroergonomics brain, cognition, and performance at work[J]. Current Directions in Psychological Science, 2011, 20(3):181-186.
[9] Salvendy G. Handbook of human factors and ergonomics[M]. Indianapolis:John Wiley Sons, 2012:738.
[10] Meister D. The history of human factors and ergonomics[M]. New Jersey:Lawrence Erlbaum Associates, Inc., Publishers, 1996:58-61.
[11]岳新征,李磊民,孙飞.基于NAR动态神经网络的石英挠性加速度表参数建模与预测[J].西南科技大学学报,2016, 31(1):88-92.
[12] Cheng B, Tong H, On consist non-parametric order determination and chaos(with discussion)[J].Journal of the Royal Statistical Society, 1992, 54(2):427-474.
[13]李金波,许百华.人机交互过程中认知负荷的综合测评方法[J].心理学报,2009, 41(1):35-43.