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How best to present model structure to decision makers? An experimental study of the effectiveness of the Forio model explorer

机译:如何最好地向决策者呈现模型结构? Forio Model Explorer效力的实验研究

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Making decisions in a complex dynamic environment is very difficult, and often decision makers do not make optimal choices (Moxnes, 2004). Typically system dynamicists attempt to reveal model structure to decision makers so that they can better understand the system and make better choices. For this study I test the effectiveness of a tool called the model explorer vs. a stock and flow diagram to see which is more effective at helping decision makers make better choices in complex dynamic environments. The results of this study were inconclusive. The model explorer participants succeeded at the task 33% of the time vs. 12.5% of the time for the stock and flow participants. There were not enough overall participants for this result to be statistically significant. Also in this experiment I devise a method for testing for type 1 error due to trial and error and discover that it is quite effective at catching participants whose results are based on guessing rather then understanding of the dynamics of the task.
机译:在复杂的动态环境中做出决策是非常困难的,并且往往的决策者不会做出最佳选择(Moxnes,2004)。通常,系统动态人员试图向决策者揭示模型结构,以便他们更好地了解系统并做出更好的选择。对于这项研究,我测试了一个名为Model Explorer与股票和流程图的工具的有效性,以了解哪些更有效地在帮助决策者在复杂的动态环境中做出更好的选择。该研究的结果不确定。模型资源管理器参与者成功地成功了33%的时间与股票和流动参与者的时间与12.5%。对于这种结果没有足够的总体参与者具有统计学意义。同样在该实验中,我设计了一种用于测试1型错误的方法,因为试验和错误,发现它在捕获参与者时非常有效,其结果是基于猜测的结果,而是理解任务的动态。

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