School of Management, Xi'an University of Science and Technology, Xi'an 710054, China.
Research Center for Human Factors and Management Ergonomics, Xi'an University of Science and Technology, Xi'an 710054, China.
Int J Environ Res Public Health. 2022 Sep 3;19(17):11034. doi: 10.3390/ijerph191711034.
Intelligent mines require much more mental effort from visual display terminal (VDT) operators. Long periods of mental effort can easily result in operator fatigue, which further increases the possibility of operation error. Therefore, research into how brain fatigue affects the sustained attention of VDT operators in intelligent mines is important. The research methods were as follows: (1) Recruit 17 intelligent mine VDT operators as subjects. Select objective physiological indicators, such as reaction time, error rate, task duration, flicker fusion frequency, heart rate, electrodermal activity, and blink frequency, and combine these with the subjective Karolinska Sleepiness Scale to build a comprehensive brain fatigue evaluation system. (2) According to the fatigue-inducing experiment requirements, subjects are required to carry out mathematical operations in accordance with the rules during the presentation time, determine whether the results of the operations fall within the [7, 13] interval, and continue for 120 min to induce brain fatigue. (3) Perform the standard stimulus button response experiment of the sustained attention to response task, before and after brain fatigue, and compare each result. The results show that: (1) When the standard stimulus appeared in the EEG experiment, the amplitude of the early N100 component before and after brain fatigue was significantly different. When the bias stimulus appeared, the average amplitudes of the P200 component and the late positive component, before and after brain fatigue, were significantly different, suggesting that the brain fatigue of VDT workers in coal mines would reduce sustained attention; (2) After the 120 min of the continuous operation task, the subjects showed obvious brain fatigue. The objective brain fatigue was followed by an increase in reaction time, an increase in error rate, a decrease in flicker fusion frequency, an increase in heart rate, an increase in electrodermal current, an increase in the number of blinks, and a larger pupil diameter, and both the subjective and objective data indicated more significant changes in the subjects' brain fatigue at the 45th and 90th min. The results of the study could provide insight into the reduction in operational efficiency and safety of VDT operators in intelligent mines due to brain fatigue and further enrich the research in the area of brain fatigue in VDT operations.
智能矿山对视觉显示终端(VDT)操作人员的脑力要求更高。长时间的脑力劳动很容易导致操作人员疲劳,从而进一步增加操作失误的可能性。因此,研究脑疲劳如何影响智能矿山 VDT 操作人员的持续注意力非常重要。研究方法如下:(1)招募 17 名智能矿山 VDT 操作人员作为研究对象。选择客观的生理指标,如反应时间、错误率、任务持续时间、闪烁融合频率、心率、皮肤电活动和眨眼频率,并将这些指标与主观的卡罗林斯卡睡眠量表相结合,构建综合脑疲劳评估系统。(2)根据疲劳诱发实验的要求,要求被试在呈现时间内按照规则进行数学运算,判断运算结果是否落在[7,13]区间内,并持续 120 分钟以诱发脑疲劳。(3)在脑疲劳前后进行持续注意反应任务的标准刺激按钮反应实验,并比较每个结果。结果表明:(1)在 EEG 实验中标准刺激出现时,脑疲劳前后早期 N100 成分的幅值差异显著。当偏差刺激出现时,脑疲劳前后 P200 成分和晚期正成分的平均幅值差异显著,表明煤矿 VDT 工人的脑疲劳会降低持续注意力;(2)在连续作业任务进行 120 分钟后,被试出现明显的脑疲劳。客观脑疲劳后,反应时间延长,错误率增加,闪烁融合频率降低,心率增加,皮肤电电流增加,眨眼次数增加,瞳孔直径增大,主、客观数据均表明被试脑疲劳在第 45 分钟和第 90 分钟时变化更为显著。研究结果可为因脑疲劳导致智能矿山 VDT 操作人员作业效率和安全性降低提供参考,进一步丰富 VDT 作业中脑疲劳研究领域的研究成果。