Studying cooperation and conflict between authors with history flow visualizations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Depth- and breadth-first processing of search result lists
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Generating summaries and visualization for large collections of geo-referenced photographs
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Getting our head in the clouds: toward evaluation studies of tagclouds
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An assessment of tag presentation techniques
Proceedings of the 16th international conference on World Wide Web
The folksonomy tag cloud: when is it useful?
Journal of Information Science
Topigraphy: visualization for large-scale tag clouds
Proceedings of the 17th international conference on World Wide Web
Personalized recommendation in social tagging systems using hierarchical clustering
Proceedings of the 2008 ACM conference on Recommender systems
Semantically structured tag clouds: an empirical evaluation of clustered presentation approaches
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visual Search Strategies of Tag Clouds - Results from an Eyetracking Study
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II
Reorganizing clouds: A study on tag clustering and evaluation
Expert Systems with Applications: An International Journal
Does interactive search results overview help?: an eye tracking study
CHI '13 Extended Abstracts on Human Factors in Computing Systems
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With the emergence of social tagging systems and the possibility for users to extensively annotate web resources and any content enormous amounts of unordered information and user generated metadata circulate the Web. Accordingly a viable visualisation form needs to integrate this unclassified content into meaningful visual representations. We argue that tag clouds can make the grade. We assume that the application of clustering techniques for arranging tags can be a useful method to generate meaningful units within a tag cloud. We think that clustered tag clouds can potentially help to enhance user performance. In this paper we present a description of tag clouds including a theoretical discourse on the strengths and weaknesses of using them in common Web-based contexts. Further recent methods of semantic clustering for visualizing tag clouds are reviewed. Findings from user studies that investigated the visual perception of differently arranged depictions of tags follow. The main objective consists in the exploration of characteristical aspects in perceptual phenomenons and cognitive processes during the interaction with a tag cloud. This clears the way for useful implications on the constitution and design factors of that visualisation form. Finally a new approach is proposed in order to further develop on this concept.