Effects of vibration and time pressure on monitoring performance and workload of operators in DCS

doi:10.16265/j.cnki.issn1003-3033.2024.11.0362

Abstract

Abstract:

To explore the effects of vibration and time pressure on monitoring tasks in DCS and reduce human error, a monitoring experiment was designed to measure the monitoring performance and workload under vibration conditions (static, low and high) and time pressure conditions (no time pressure and time pressure). Statistical methods were used to explore the influence of vibration and time pressure on the monitoring performance and workload. The results show that the vibration (monitoring time and accuracy) has no significant effect on monitoring performance. Both the monitoring time and the workload show rising trends with the increase of the vibrating level. The time pressure has a significant impact on monitoring time and workload, but has no significant impact on accuracy. The monitoring time in the state confirmation task is significantly longer than that of data comparison, but the accuracy difference is not significant. The monitoring performance and workload of DCS operators in the vibrating condition are basically the same as that in the static condition. In the time-pressure condition, the DCS operators' workload is heavy, but the monitoring time is short.

Key words: vibration, time pressure, digital control system (DCS), operator, monitoring performance, workload

CLC Number:

X912.9安全人机学

HU Hong, WU Jiang, ZHANG Mian, SHEN Chao, YI Cannan, ZHAO Caijun. Effects of vibration and time pressure on monitoring performance and workload of operators in DCS[J]. China Safety Science Journal, 2024, 34(11): 9-16.

Figures/Tables 10

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自由度	静止		低摇摆		高摇摆
自由度	幅度/ mm	周期/ s	幅度/ mm	周期/ s	幅度/ mm	周期/ s
横向	±0	0	±50	8	±90	8
纵向	±0	0	±50	4	±90	4
垂直	±0	0	±50	4	±90	4

因素	级别	正确率/%	监视时间/ms
摇摆	静止	96.29±5.62	1 794.55±613.19
	低摇摆	96.37±5.94	1 828.80±618.08
	高摇摆	96.45±5.40	1 843.62±587.87
时间压力	无	96.90±5.48	1 915.40±661.86
时间压力	有	95.83±5.77	1 729.25±528.39
任务类型	数据比较	96.51±5.95	1 540.80±479.10
任务类型	状态确认	96.22±5.34	2 103.85±588.04

因素	级别	心智需求	体力需求	时间需求	挫折程度	自我绩效	努力程度	NASA总分
摇摆条件	静止	5.78±3.39	4.16±2.60	5.47±4.11	4.72±3.16	6.66±4.74	4.05±2.98	30.83±16.24
	低摇摆	6.06±3.27	5.64±3.84	5.97±3.49	4.75±3.07	7.23±4.81	4.30±3.06	33.95±16.34
	高摇摆	6.75±3.63	5.92±4.07	6.44±3.94	4.45±2.85	7.25±3.89	4.70±3.44	35.52±16.45
时间压力	无	5.70±3.08	4.94±3.38	5.21±3.67	4.31±3.05	6.78±4.38	4.16±3.24	31.09±15.36
时间压力	有	6.70±3.71	5.54±3.85	6.71±3.92	4.97±2.95	7.31±4.59	4.54±3.09	35.77±17.09

文献	任务	级别	时间/s	正确率/%	备注
XUE Hongjun 等^[8]	单目标	静止	2.30	99.2	影响不显著
		轻微	2.21	98.9
		中等	2.29	98.8
	双目标	静止	3.80	97.5
		轻微	3.84	97.8
		中等	3.82	97.1
TAO Da 等^[9]	无目标	静止	4.40	85.0
		纵摇	4.60	92.9
		艏摇	4.50	96.4
	单目标	静止	2.40	26.5
		纵摇	2.40	28.3
		艏摇	2.40	29.5
	双目标	静止	4.00	17.4
		纵摇	3.90	18.8
		艏摇	4.00	20.4
	三目标	静止	5.50	11.92
		纵摇	5.30	13.1
		艏摇	5.40	14.1
蔡剑^[26]	单目标	静止	2.44	98.7
		轻微	2.38	98.6
		中等	2.45	98.8
	双目标	静止	4.30	97.3
		轻微	4.20	97.7
		中等	4.24	97.6

文献	时间压力条件		时间/s	失误率/%	备注
董晓璐^[10]	传统界面	高(25 s)	10.02	8.50	影响显著
	传统界面	低(40 s)	12.36	1.00
	生态界面	高(25 s)	10.46	4.40
	生态界面	低(40 s)	11.43	1.20
于航^[17]	高(25 s)		6.26	5.60
于航^[17]	低(40 s)		7.46	3.60
孙璐等^[18]	有(12 min)		5.22	1.06	仅显著影响任务时间
孙璐等^[18]	无		9.03	0.96
甘文娟^[19]	有(613 s)		7.61	0.16
甘文娟^[19]	无		9.71	0.14