Semantically structured tag clouds: an empirical evaluation of clustered presentation approaches
Semantically structured tag clouds: an empirical evaluation of clustered presentation approaches
复制标题
DOI：
10.1145/1518701.1519010
复制
发表时间：
2009-04
期刊：
影响因子：
--
通讯作者：
Johann Schrammel;Michaela Leitner;M. Tscheligi
中科院分区：
文献类型：
--
作者：
Johann Schrammel;Michaela Leitner;M. Tscheligi
标签云已经成为网络中常用的交互技术。最近，已经提出了几种方法来呈现具有语义聚类的标签的标签云。然而，目前还不清楚是否预期的业绩增长和互动优势实际上可以实现，因为还没有经验评估这种方法。在本文中，我们描述了一系列的实验，旨在评估的影响，语义与字母和随机排列的标签在标签云中的标签。我们的工作结果表明，语义聚类的标签云可以提供改进随机布局在特定的搜索任务，他们往往会增加对小字体的标签相比，其他布局的关注。此外，语义结构化的标签云被大约一半的用户用于一般搜索任务。标签云布局似乎不会影响记住标签的能力。
Tag clouds have become a frequently used interaction technique in the web. Recently several approaches to present tag clouds with the tags semantically clustered have been proposed. However, it remains unclear whether the expected gains in performance and advantages in interaction actually can be realized as no empirical evaluations of such approaches are available yet. In this paper we describe a series of experiments designed to evaluate the effects of semantic versus alphabetical and random arrangements of tags in tag clouds. The results of our work indicate that semantically clustered tag clouds can provide improvements over random layouts in specific search tasks and that they tend to increase the attention towards tags in small fonts compared to other layouts. Also, semantically structured tag clouds were preferred by about half of the users for general search tasks. Tag cloud layout does not seem to influence the ability to remember tags.