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The Effect of a Structured Method on Mental Model Accuracy in Complex Decision Making

机译:复杂决策中结构化方法对心理模型准确性的影响

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Humans do not perform well in complex system. The inherent characteristics in complex systems, like a large number of elements, dynamic interaction, causal feedback relationships and delays significantly lower their performance. Research has shown that a better understanding of the underlying causal relationships of a system, enable subjects to control it more effectively. Former research by Maani and Maharaj (2004) came to the conclusion that the use of a structured method could enable people to gain a better understanding of a system and ultimately enhance their performance. This paper focuses on the description of an experiment to further investigate the relationship of these structured method to performance in a complex task. It describes the design of the experiment, the obtained data and how to analyse it. Emphasise is laid on the explanation of the structured method and on the complex task, which is represented by a business simulation. In addition, the eliciting of the understanding of the underlying structure of the subjects will be discussed. For measuring the comprehension, the mental models of the subjects are elicited and compared to the actual system. Practical implications and future research directions are outlined.
机译:人类在复杂的系统中表现不佳。复杂系统的固有特性(例如,大量元素,动态交互,因果反馈关系和延迟)大大降低了它们的性能。研究表明,更好地理解系统的潜在因果关系可以使受试者更有效地控制系统。 Maani和Maharaj(2004)的前期研究得出的结论是,使用结构化方法可以使人们更好地了解系统并最终提高其性能。本文着重于实验的描述,以进一步研究这些结构化方法与复杂任务性能之间的关系。它描述了实验的设计,获得的数据以及如何进行分析。重点放在对结构化方法的解释和由业务模拟表示的复杂任务上。另外,将讨论对主体基础结构的理解的激发。为了测量理解力,得出受试者的心理模型并将其与实际系统进行比较。概述了实际意义和未来的研究方向。

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