CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The perfect search engine is not enough: a study of orienteering behavior in directed search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Learning to cluster web search results
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 15th international conference on World Wide Web
Improved annotation of the blogosphere via autotagging and hierarchical clustering
Proceedings of the 15th international conference on World Wide Web
Degree-of-interest trees: a component of an attention-reactive user interface
Proceedings of the Working Conference on Advanced Visual Interfaces
The focus-metaphor approach: a novel concept for the design of adaptive and user-centric interfaces
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
GazeSpace: eye gaze controlled content spaces
BCS-HCI '07 Proceedings of the 21st British HCI Group Annual Conference on People and Computers: HCI...but not as we know it - Volume 2
Exploring blog spaces: a study of blog reading experiences using dynamic contextual displays
Proceedings of the 23rd British HCI Group Annual Conference on People and Computers: Celebrating People and Technology
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In this paper, we investigate how contextual user interfaces affect blog reading experience. Based on a review of previous research, we argue why and how contextualization may result in (H1) enhanced blog reading experiences. In an eyetracking experiment, we tested 3 different web-based user interfaces for information spaces. The StarTree interface (by Inxight) and the Focus-Metaphor interface are compared with a standard blog interface. Information tasks have been used to evaluate and compare task performance and user satisfaction between these three interfaces. We found that both contextual user interfaces clearly outperformed the traditional blog interface, both in terms of task performance as well as user satisfaction.