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Investigation on applicability of information theory to prediction of operator performance in diagnosis tasks at nuclear power plants

机译：信息论在核电站诊断任务中预测操作员绩效的适用性研究

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This paper investigates the applicability of information theory to predicting operator performance in diagnosis tasks at nuclear power plants (NPPs). Some general descriptions about diagnosis tasks in a main control room (MCR) are provided and information theory conventionally used in the studies of human information processing is briefly reviewed. Then, as an alternative to classical information theory, this paper proposes a method to quantify the cognitive information flow of diagnosis tasks, integrating a stage model (a qualitative approach) with information theory (a quantitative approach). An information flow model is developed based on operating procedures and quantified using Conant's model. Finally, three experiments were conducted to evaluate the effectiveness of the proposed approach to predicting human performance, especially average diagnosis time. The results of two experiments show that subjects' diagnosis time has a proportional relationship to the quantified information flow. The other investigated operator performance variation in terms of accuracy under system-paced information presentation. As a result of the third experiment, subjects showed better performances in a specific range of information rate, compared with in other ranges.
机译：本文研究了信息理论在预测核电站诊断任务中的操作员绩效方面的适用性。提供了有关主控制室（MCR）中诊断任务的一些一般性描述，并简要回顾了人类信息处理研究中常规使用的信息理论。然后，作为经典信息理论的替代方法，本文提出了一种量化诊断任务的认知信息流的方法，将阶段模型（定性方法）与信息理论（定量方法）相结合。信息流模型是根据操作程序开发的，并使用Conant模型进行了量化。最后，进行了三个实验，以评估所提出的方法预测人的行为，尤其是平均诊断时间的有效性。两个实验的结果表明，受试者的诊断时间与量化信息流成比例关系。另一位调查员根据系统节奏的信息表示，根据准确性对操作员性能进行了调查。第三项实验的结果是，与其他范围相比，受试者在特定的信息率范围内表现出更好的表现。

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