Journal of the American Society for Information Science - Special topic issue on digital libraries: part 2
Getting our head in the clouds: toward evaluation studies of tagclouds
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Tag clouds for summarizing web search results
Proceedings of the 16th international conference on World Wide Web
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
Eye movements as implicit relevance feedback
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Semantically structured tag clouds: an empirical evaluation of clustered presentation approaches
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Comparison of Tag Cloud Layouts: Task-Related Performance and Visual Exploration
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I
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
Inferring word relevance from eye-movements of readers
Proceedings of the 16th international conference on Intelligent user interfaces
Comparing different layouts of tag clouds: Findings on visual perception
HCIV'09 Proceedings of the Second IFIP WG 13.7 conference on Human-computer interaction and visualization
Effects of working memory capacity on users' search effort
Proceedings of the International Conference on Multimedia, Interaction, Design and Innovation
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We examined the effect of introducing search results overview in the form of a tag cloud displayed next to a textual search result list. Does such an overview make users faster in search task execution and lower the cognitive effort required to make progress? We use cognitive effort measures derived from eye tracking data to examine the effect of providing a tag cloud-like summary on a user's information search and navigation behaviors. The results show that a results overview helps a user become faster and more efficient. One contribution of this work is to describe the use of eye tracking data to create a simple model of reading and measures of cognitive effort. Another is to use those measures to explain the differences in interaction with two information search interfaces