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Yes we can: Improving performance in dynamic tasks

机译:是的,我们可以:提高动态任务的性能

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摘要

Facilitation, a special kind of decisional aid, is all forms of information, strategies, and heuristics delivered by a facilitator to aid decision makers in dynamic decision environments. It is assumed that facilitation has profound effects on decision making, but these effects are understudied and empirically unproven. By incorporating the three levels of facilitation, pre-task, combined pre-task and in-task, and combined pre-task, in-task, and post-task, in the design of a simulation-based interactive learning environment (ILE), this study provides an empirical, laboratory-experiment-based evaluation of the effectiveness of facilitation on performance in dynamic tasks. We develop and use a comprehensive model consisting of four evaluation criteria: task performance, structural knowledge, heuristics knowledge, and transfer learning. We find that the subjects provided with combined pre-task, in-task, and post-task facilitation performed the best, followed by those provided with combined pre-task and in-task facilitation. Contrary to the hypothesis, subjects provided with pre-task facilitation performed poorly.
机译:促进是一种特殊的决策辅助手段,是指协调人提供的各种形式的信息,策略和启发式方法,可以在动态决策环境中为决策者提供帮助。假定便利化对决策有深远的影响,但是这些影响尚未得到充分研究,也没有经验证明。通过在基于仿真的交互式学习环境(ILE)的设计中纳入促进的三个级别,即任务前,任务前和任务内组合以及任务前,任务内和任务后组合,这项研究提供了基于实验的,基于实验室实验的评估,以促进动态任务中绩效的有效性。我们开发并使用由四个评估标准组成的综合模型:任务绩效,结构知识,启发式知识和迁移学习。我们发现,结合了任务前,任务中和任务后促进的受试者表现最好,其次是结合了任务前和任务中的促进。与该假设相反,提供任务前促进的受试者表现较差。

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