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Investigating inter-organizational collaboration during the Haiti relief effort from a macrocognition perspective

机译:从宏观认知的角度调查海地救灾工作中的组织间合作

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摘要

On January 12, 2010, a massive earthquake ravished Haiti's capital city of Port-au-Prince. Relief organizations, government and people from all over the world poured into Haiti to help address the devastating circumstances. Throughout the relief effort the communications that transpired between responders were recorded in the All Partners Area Network (APAN) collaboration systems. APAN data from the Haiti relief effort was analyzed for this research where we employed an empirical process to evaluate a model of team collaboration. We analyzed the inter-agency collaborative communication by applying definitions to each thought unit posted by responders. Macrocognition is a nascent area of knowledge engineering that focuses on understanding how cognition emerges in natural environments. The goal for the research reported here is to understand the role of cognition in teams who are collaborting to solve unique, challenging, ambiguous, information-rich problems. Results indicate the task environment will influence which macrocogntive processes are used and we found evidence for several new macrocognitive processes. A more complete model of team collaboration can guide designers of collaboration tools to facilitate decision making as part of the overall task.
机译:2010年1月12日,一场大地震席卷了海地首都太子港。来自世界各地的救济组织,政府和人民涌入海地,以帮助应对灾难性的局势。在整个救援工作中,响应者之间进行的通信记录在所有合作伙伴区域网络(APAN)协作系统中。在这项研究中,我们分析了海地救援工作获得的APAN数据,在该数据中,我们采用了经验过程来评估团队协作模型。我们通过将定义应用于响应者发布的每个思想单元来分析机构间的协作交流。宏观认知是知识工程的新兴领域,其重点是了解自然环境中认知是如何出现的。此处报告的研究目标是了解认知在团队合作解决独特,具有挑战性,模棱两可,信息丰富的问题​​中的作用。结果表明任务环境将影响使用哪种宏认知过程,我们发现了一些新的宏认知过程的证据。更加完整的团队协作模型可以指导协作工具的设计者促进决策制定,这是整个任务的一部分。

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