Scatter/Gather: a cluster-based approach to browsing large document collections
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
The WebBook and the Web Forager: an information workspace for the World-Wide Web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Foundations of statistical natural language processing
Foundations of statistical natural language processing
SuperBook: an automatic tool for information exploration—hypertext?
HYPERTEXT '87 Proceedings of the ACM conference on Hypertext
Using information scent to model user information needs and actions and the Web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
E-Books and the Future of Reading
IEEE Computer Graphics and Applications
3Book: a 3D electronic smart book
Proceedings of the working conference on Advanced visual interfaces
3Book: a scalable 3D virtual book
CHI '04 Extended Abstracts on Human Factors in Computing Systems
3Book: a 3D electronic smart book
Proceedings of the working conference on Advanced visual interfaces
ScentHighlights: highlighting conceptually-related sentences during reading
Proceedings of the 10th international conference on Intelligent user interfaces
Annotating 3D electronic books
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Opinion observer: analyzing and comparing opinions on the Web
WWW '05 Proceedings of the 14th international conference on World Wide Web
Visual foraging of highlighted text: an eye-tracking study
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
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Subject indexes were an important step forward for books because they enabled the comparison and correlations of information without extensive reading, re-reading and memorization. In this short paper, we focus on the user interaction and usage scenario of a new system called ScentIndex that enhances the subject index of an eBook by conceptually reorganizing it to suit particular information needs. Users first enter information needs via keywords describing the concepts they are trying to retrieve and comprehend. ScentIndex then computes what index entries are conceptually related, and reorganizes and displays these index entries on a single page.