评估图像集合中基于标签的信息访问

C. Trattner, Yi-ling Lin, Denis Parra, Zhen Yue, William Real, Peter Brusilovsky
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引用次数: 33

摘要

社会标签的可用性极大地增强了对信息的访问。标签云已经成为一种新的“社交”方式来查找和可视化信息,它既提供了对信息的一键访问,也提供了对被标记集合的“相关性”的快照。一系列研究项目探索和比较了从常规标记云到标记层次结构的信息访问的不同标记工件。同时,缺乏从用户角度比较不同类型的基于标签的浏览界面的有效性的用户研究。本文对基于标签的信息访问的研究做出了贡献,通过提供一个受控的用户研究,比较了两种公认的搜索任务类型——查找和探索性搜索上的三种基于标签的界面。我们的研究结果表明,基于标签的浏览界面在性能和用户满意度方面都明显优于传统的搜索界面。与此同时,我们研究的两种基于标签的浏览界面之间的差异并不明显。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating tag-based information access in image collections
The availability of social tags has greatly enhanced access to information. Tag clouds have emerged as a new "social" way to find and visualize information, providing both one-click access to information and a snapshot of the "aboutness" of a tagged collection. A range of research projects explored and compared different tag artifacts for information access ranging from regular tag clouds to tag hierarchies. At the same time, there is a lack of user studies that compare the effectiveness of different types of tag-based browsing interfaces from the users point of view. This paper contributes to the research on tag-based information access by presenting a controlled user study that compared three types of tag-based interfaces on two recognized types of search tasks -- lookup and exploratory search. Our results demonstrate that tag-based browsing interfaces significantly outperform traditional search interfaces in both performance and user satisfaction. At the same time, the differences between the two types of tag-based browsing interfaces explored in our study are not as clear.
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