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Psychophysiological assessment of an adaptive asynchronous human-machine system with the dual-task method

机译:双任务方法的自适应异步人机系统的心理生理评估

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Human error is one of the leading causes of industrial accidents at modern manufacturing production sites. An adaptive asynchronous human-machine system (Async-HMS) was previously proposed as a new mechanism for preventing the reduction of cognitive level by controlling the actual operation period of machines that lead to monotonous behavior. The objective of this paper is to assess Async-HMS from the aspects of person’s current capacity for performing processing resources. A dual-task method consisting of a synchronization task with three periodic fluctuations and four levels of difficulties of mental arithmetic tasks was conducted with Async-HMS on a PC. The three periodic fluctuations are constant periodic fluctuation (Cnst), perceptible periodic fluctuation (Supraliminal), and imperceptible periodic fluctuation (Subliminal). The task performance and the psychophysiological state were assessed through the dual-task method. In an ANOVA analysis, the time shared fraction, which is an index of processing resources devoted to an arithmetic task, had no significant effect on the synchronization task. The mean blood pressure in Subliminal had a significant increase compared with that in Cnst and Supraliminal. These results indicate that subliminal fluctuation evokes sympathetic hyperactivity without affecting processing resources. Implementation of subliminal operation period into industrial machines performing periodic behavior might inhibit monotony and, therefore, prevent human error.
机译:人为错误是现代制造业生产现场发生工业事故的主要原因之一。先前提出了一种自适应异步人机系统(Async-HMS),它是通过控制导致单调行为的机器的实际运行周期来防止认知水平降低的新机制。本文的目的是从人员当前执行处理资源的能力的方面评估Async-HMS。在PC机上使用Async-HMS进行了双重任务方法,该任务由具有三个周期性波动和四个难度级别的心算任务的同步任务组成。这三个周期波动是恒定周期波动(Cnst),可感知周期波动(超阈值)和不可感知周期波动(阈下值)。通过双任务方法评估任务表现和心理生理状态。在ANOVA分析中,分时分数是同步任务的重要影响,分时分数是处理算术任务的处理资源的指标。与Cnst和Sulimliminal相比,Subliminal的平均血压显着增加。这些结果表明,阈下波动引起交感神经亢进而不影响处理资源。在执行周期性行为的工业机器中实施下限运行时间可能会抑制单调性,因此可以防止人为错误。

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