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Collaborative Decision Making in a Simulated Stability Operations Exercise: A Prototype Decision Support Tool

机译:在模拟稳定操作中的协作决策练习:原型决策支持工具

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We report the results of a collaborative decision making exercise using a simulated stability operations task. The exercise allowed Canadian Forces personnel to experience first-hand the benefits and challenges of taking an integrative decision making approach (i.e., with information and resource sharing) compared to a stovepipe approach (no communication and partial view of the whole system). While teams generally achieved greater mission success in the integrated condition, they could only partially cope with the complexity of such an endeavor. A training session on systems thinking and collaborative design generally improved integrated planning effectiveness. We designed a decision support tool capable of suggesting an effective integrated course of action based on qualitative information about system structure and effects. The tool essentially relies on an innovative 'action-oriented' cross-impact matrix and decision matrix that jointly allow deriving a viable resource allocation given a range of intervention options. The prototype tool aims to be simple and generic for use in real-life applications. The system's inputs are based on simple user judgments (i.e., mental models). We show that the tool provides solutions superior to most human teams. Future research will test the generalization of the approach and assess human ability to refine the tools' solutions.
机译:我们使用模拟稳定运营任务报告协作决策锻炼的结果。允许加拿大人员的工作人员首先经历综合决策方法的福利和挑战(即,与信息和资源共享)相比(没有整个系统的沟通和局部视图)。虽然团队通常在综合条件下取得了更大的使命成功,但它们只能部分地应对这种努力的复杂性。关于系统思维和协作设计的培训课程通常改善了综合规划效率。我们设计了一个决策支持工具,能够基于有关系统结构和效果的定性信息来建议有效的综合行动过程。该工具基本上依赖于创新的“面向动作的”跨影响矩阵和决策矩阵,该跨影响矩阵和决策矩阵共同允许获得可行的资源分配给定一系列干预选项。原型工具旨在简单而通用,可用于现实生活应用程序。系统的输入基于简单的用户判断(即心理模型)。我们表明该工具提供优于大多数人类团队的解决方案。未来的研究将测试方法的泛化,并评估人类改进工具解决方案的能力。

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