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Using Visual Analytics To Develop Situation Awareness In Astrophysics

机译：使用视觉分析发展天体物理学中的态势感知

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摘要

We present a novel collaborative visual analytics application for cognitively overloaded users in the astrophysics domain. The system was devel-oped for scientists who need to analyze heterogeneous, complex data under time pressure, and make predictions and time-critical decisions rapidly and correctly under a constant influx of changing data. The Sunfall Data Taking system utilizes several novel visualization and analysis techniques to enable a team of geographically distributed domain specialists to effectively and remotely maneuver a custom-built instrument under challenging operational conditions. Sunfall Data Taking has been in production use for 2 years by a major international astrophysics collaboration (the largest data volume super-nova search currently in operation), and has substantially improved the oper-ational efficiency of its users. We describe the system design process by an interdisciplinary team, the system architecture and the results of an informal usability evaluation of the production system by domain experts in the context of Endsley's three levels of situation awareness.
机译：我们为天体物理学领域的认知超负荷用户提供了一种新颖的协作式视觉分析应用程序。该系统是为需要在时间压力下分析异构，复杂数据并在不断变化的数据不断涌入的情况下快速正确地做出预测和对时间要求严格的决策的科学家而开发的。 Sunfall数据采集系统利用多种新颖的可视化和分析技术，使一组地理分布领域的专家能够在充满挑战的操作条件下有效地和远程地操纵定制仪器。大型国际天体物理学合作机构（目前正在运行的最大数据量超新星搜索）已将Sunfall Data Take投入生产使用了2年，并大大提高了用户的运营效率。我们描述了一个跨学科团队的系统设计过程，系统架构以及领域专家在恩德斯利的三种态势感知背景下对生产系统进行的非正式可用性评估的结果。

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