PivotPaths: Strolling through Faceted Information Spaces

PivotPaths: Strolling through Faceted Information Spaces
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DOI:
10.1109/tvcg.2012.252
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发表时间:
2012-12-01
影响因子:
5.2
通讯作者:
Dumais, Susan
Dumais, Susan
中科院分区:
计算机科学1区
文献类型:
--
作者:
Doerk, Marian;Riche, Nathalie Henry;Dumais, Susan

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我们介绍了PivotPath,这是一种用于探索多面信息资源的交互式可视化工具。在工作和休闲中,我们越来越多地与包含多个方面和关系的信息空间互动,例如作者、关键词、学术出版物的引用、演员和电影类型。如今,要导航这些相互关联的资源,人们通常会从方面列表中选择项目,从而导致数据的一个子集到另一个子集的突然变化。虽然过滤对于检索符合特定条件的结果很有用,但可能很难看到方面和项之间的关系,也很难理解过滤操作的效果。相比之下,PivotPath界面将多个方面的关系公开为可视路径,以邀请查看者在信息空间中“漫步”。PivotPath支持将透视操作作为轻量级交互技术,从而触发视图之间的渐进式转换。我们设计的界面允许以一种美观的方式随意遍历大型收藏,鼓励探索和偶然发现。本文分享了我们迭代设计和评估过程的结果,其中包括半结构化访谈和应用于大型学术出版物数据库的为期两周的PivotPath部署。
We present PivotPaths, an interactive visualization for exploring faceted information resources. During both work and leisure, we increasingly interact with information spaces that contain multiple facets and relations, such as authors, keywords, and citations of academic publications, or actors and genres of movies. To navigate these interlinked resources today, one typically selects items from facet lists resulting in abrupt changes from one subset of data to another. While filtering is useful to retrieve results matching specific criteria, it can be difficult to see how facets and items relate and to comprehend the effect of filter operations. In contrast, the PivotPaths interface exposes faceted relations as visual paths in arrangements that invite the viewer to 'take a stroll' through an information space. PivotPaths supports pivot operations as lightweight interaction techniques that trigger gradual transitions between views. We designed the interface to allow for casual traversal of large collections in an aesthetically pleasing manner that encourages exploration and serendipitous discoveries. This paper shares the findings from our iterative design-and-evaluation process that included semi-structured interviews and a two-week deployment of PivotPaths applied to a large database of academic publications.