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ANALYSIS OF COMMUNICATIONS DURING THE HAITI RELIEF EFFORT to UNDERSTAND COGNITVE PROCESSES USED DURING TEAM COLLABORATION

机译:在海地救济努力下理解团队合作期间使用的认知过程中的通信

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On January 12, 2010, a massive earthquake ravished Haiti's capital city of Port-au-Prince. Relief organizations, governments, 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 Access Network (APAN) collaboration system. APAN data from the Haiti relief effort was analyzed for this research where we employed a content analysis to evaluate a model of team collaboration. We analyzed the inter-agency collaborative communication by applying definitions of the macrocognitive processes included in a model of team collaboration to each thought unit posted by responders. Chat log entries were content analyzed using an 18-dimensional conceptualization of the cognitive components of team collaboration. 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 collaborating to solve unique, challenging, ambiguous, information-rich problems and to leverage this understanding to make recommendations for human-system interaction design improvements. Results indicate the task environment will influence which macrocognitive processes are used and we found evidence for several new macrocognitive processes. Recommendations for user interface design improvements include developing separate windows to support critical components of the task. 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,响应者之间发生的通信都记录在所有合作伙伴访问网络(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,我们使用了内容分析来评估团队合作模型。我们通过将团队协作模型中包含的宏观认知过程的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。使用团队合作的认知组成部分的18维概念化来分析聊天记录条目。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团队合作解决独特,挑战性,模棱两可,信息丰富的问题​​中认知的作用,并利用这种理解为改进人机交互设计提出建议。结果表明任务环境将影响使用哪种宏观认知过程,我们发现了一些新的宏观认知过程的证据。用户界面设计改进的建议包括开发单独的窗口以支持任务的关键组件。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,并将其作为整体任务的一部分。

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