The role of interactive biclusters in sensemaking
The role of interactive biclusters in sensemaking
复制标题
交互式双簇在意义建构中的作用
DOI：
10.1145/2556288.2557337
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Naren Ramakrishnan
中科院分区：
文献类型：
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作者：
Maoyuan Sun;Lauren Bradel;Chris North;Naren Ramakrishnan
对大型文本数据集中关系的视觉探索是人类感官的重要帮助。通过了解计算的不同类型实体之间的结构关系（例如，人和位置），用户可以利用域专业知识和直觉来确定这些关系对任务的重要性和相关性，例如智能分析。双浮标是一种促进这种情况的潜在理想方法，因为它们揭示了可以代表有意义关系的协调关系。视觉分析原型Bixplorer支持与双群的空间工作区中文本数据集的交互式探索。在本文中，我们介绍了一项研究的结果，该研究分析了用户如何与双差异者互动，以使用Bixplorer解决智能分析问题。我们发现，双群在分析过程中扮演了四个主要角色：一个有效的分析起点，揭示了两个级别的连接，一个潜在重要实体的指标以及有组织信息群集的有用标签。
Visual exploration of relationships within large, textual datasets is an important aid for human sensemaking. By understanding computed, structural relationships between entities of different types (e.g., people and locations), users can leverage domain expertise and intuition to determine the importance and relevance of these relationships for tasks, such as intelligence analysis. Biclusters are a potentially desirable method to facilitate this, because they reveal coordinated relationships that can represent meaningful relationships. Bixplorer, a visual analytics prototype, supports interactive exploration of textual datasets in a spatial workspace with biclusters. In this paper, we present results of a study that analyzes how users interact with biclusters to solve an intelligence analysis problem using Bixplorer. We found that biclusters played four principal roles in the analytical process: an effective starting point for analysis, a revealer of two levels of connections, an indicator of potentially important entities, and a useful label for clusters of organized information.