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Social Media Data in an Augmented Reality System for Situation Awareness Support in Emergency Control Rooms

机译:增强现实系统中的社交媒体数据,用于应急控制室的态势感知支持

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摘要

Abstract During crisis situations, emergency operators require fast information access to achieve situation awareness and make the best possible decisions. Augmented reality could be used to visualize the wealth of user-generated content available on social media and enable context-adaptive functions for emergency operators. Although emergency operators agree that social media analytics will be important for their future work, it poses a challenge to filter and visualize large amounts of social media data. We conducted a goal-directed task analysis to identify the situation awareness requirements of emergency operators. By collecting tweets during two storms in Germany we evaluated the usefulness of Twitter data for achieving situation awareness and conducted interviews with emergency operators to derive filter strategies for social media data. We synthesized the results by discussing how the unique interface of augmented reality can be used to integrate social media data into emergency control rooms for situation awareness support.
机译:摘要 在危机情况下,应急操作人员需要快速的信息访问,以实现态势感知并做出最佳决策。增强现实可用于可视化社交媒体上丰富的用户生成内容,并为应急操作员提供上下文自适应功能。尽管应急人员一致认为社交媒体分析对他们未来的工作很重要,但它对过滤和可视化大量社交媒体数据提出了挑战。我们进行了以目标为导向的任务分析,以确定应急操作员的态势感知要求。通过收集德国两次风暴期间的推文,我们评估了Twitter数据对实现态势感知的有用性,并对应急操作员进行了采访,以得出社交媒体数据的过滤策略。我们通过讨论如何使用增强现实的独特界面将社交媒体数据集成到应急控制室中以提供态势感知支持来综合结果。

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