Paper Info
Title
A study on human-generated tag structures to inform tag cloud layout
Abstract
Tag clouds are popular features on web pages, not only to support browsing but also to provide an overview over the content of the page or to summarize search retrieval results. Commonly, the arrangement of tags is based on a random layout or an alphabetic ordering of the tags. Previous research suggests to further structure the tag clouds according to semantics, typically employing cooccurrence-based relations to assess the semantic relatedness of two tags. Regarding the layout of the resulting structure, a wide variety of representations has been proposed. However, only few papers motivate their design choice or evaluate its performance from the perspective of a user, leaving it open if the approach answers the users' expectations. In this paper we present the results of a study in which we observed how humans structure user-generated tags of a social bookmarking system given the task that the resulting layout should provide a quick overview over a search retrieval result. We examine the participants' layouts based on the final arrangement of tags and a detailed interview conducted after the task. Thereby, we analyze and characterize the different term relations employed as well as the higher-level structures generated. The deeper understanding of what criteria are considered important by humans can inform the design of automatic algorithms as well as future studies evaluating their performance.
Year
DOI
Venue
2014
10.1145/2598153.2598155
AVI
Keywords
Field
DocType
design,miscellaneous,user study,visualization,semantic,tag clouds,structured
Semantic similarity,World Wide Web,Web page,Information retrieval,Visualization,Computer science,Design choice,Tag cloud,Human–computer interaction,Semantics,Bookmarking
Conference
Citations 
PageRank 
References 
1
0.34
15
Authors
2
Name
Order
Citations
PageRank
Daniela Oelke122513.18
Iryna Gurevych22471189.26