PaperPoles: Facilitating adaptive visual exploration of scientific publications by citation links
PaperPoles: Facilitating adaptive visual exploration of scientific publications by citation links
复制标题
DOI：
10.1002/asi.24171
复制
发表时间：
2019-02
影响因子：
3.5
通讯作者：
Jiangen He;Q. Ping;Wen Lou;Chaomei Chen
中科院分区：
文献类型：
--
作者：
Jiangen He;Q. Ping;Wen Lou;Chaomei Chen
查找相关出版物是一项常见的任务。通常，研究人员浏览出版物列表并跟踪其他相关出版物。当确定了相关的出版物后，可以通过相关出版物的引用链接来扩展列表。研究人员的信息需求可能会随着他们经历这样的迭代过程而变化。随着列表的扩展，探索过程很快变得麻烦。大多数现有的学术搜索系统在搜索者能够适应他们的搜索的程度上往往是有限的。在本文中，我们介绍了一个名为PaperPoles的自适应视觉探索系统，以支持在上下文感知环境中对科学出版物的探索。搜索者可以通过直观地表述积极和消极的查询来表达他们的信息需求。搜索结果被分组并显示在集群视图中，集群视图显示结果的各个方面和相关模式，以支持导航和探索。我们进行了一项实验，比较paperpole与基于列表的界面在执行两种不同复杂程度的学术搜索任务时的表现。结果表明，paperpole可以提高简单任务和复杂任务的搜索精度。它还可以缩短搜索完成时间，提高复杂任务中的搜索效率。PaperPoles演示了一个潜在有效的工作流，用于自适应视觉搜索复杂信息。
Finding relevant publications is a common task. Typically, a researcher browses through a list of publications and traces additional relevant publications. When relevant publications are identified, the list may be expanded by the citation links of the relevant publications. The information needs of researchers may change as they go through such iterative processes. The exploration process quickly becomes cumbersome as the list expands. Most existing academic search systems tend to be limited in terms of the extent to which searchers can adapt their search as they proceed. In this article, we introduce an adaptive visual exploration system named PaperPoles to support exploration of scientific publications in a context‐aware environment. Searchers can express their information needs by intuitively formulating positive and negative queries. The search results are grouped and displayed in a cluster view, which shows aspects and relevance patterns of the results to support navigation and exploration. We conducted an experiment to compare PaperPoles with a list‐based interface in performing two academic search tasks with different complexity. The results show that PaperPoles can improve the accuracy of searching for the simple and complex tasks. It can also reduce the completion time of searching and improve exploration effectiveness in the complex task. PaperPoles demonstrates a potentially effective workflow for adaptive visual search of complex information.