A quantification method of dynamic miscommunication based on the Markov process within subway teams.

Pei Wang, Wang Jie, Zhou Jie-Qiong
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Abstract

A qualitative analysis of the communication process of subway teams was performed from the perspective of cognitive psychology in this study. The findings revealed that the communication process exhibited characteristics consistent with a Markov process, and then a model was approved to calculate the probability of miscommunication based on Markov processes. As communication within subway teams is a two-way process, a model for the dynamic probability of miscommunication based on the Markov two-way communication mode was derived. The model was subsequently validated through a case study involving a screen door fault event. The research results indicate that the actual cognitive communication process yields a significantly lower probability of miscommunication compared to the values obtained from the technique for human error rate prediction (THERP) manual. This demonstrates the effectiveness of dynamic two-way communication as a means of reducing miscommunication and confirms the feasibility and effectiveness of the proposed calculation model.

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基于马尔可夫过程的地铁团队动态误传量化方法。
本研究从认知心理学的角度对地铁团队的沟通过程进行定性分析。研究结果表明,沟通过程具有马尔可夫过程的特征,并建立了基于马尔可夫过程的沟通失误概率计算模型。针对地铁团队内部沟通是双向的过程,建立了基于马尔可夫双向沟通模型的动态沟通失误概率模型。该模型随后通过涉及纱门故障事件的案例研究进行了验证。研究结果表明,与人类误差率预测技术(THERP)手册获得的值相比,实际认知沟通过程产生的错误沟通概率显着降低。这证明了动态双向通信作为一种减少错误通信的手段的有效性,并证实了所提出的计算模型的可行性和有效性。
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CiteScore
4.80
自引率
8.30%
发文量
152
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