Augmented surfaces: a spatially continuous work space for hybrid computing environments
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Instrumental interaction: an interaction model for designing post-WIMP user interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
The "mighty mouse" multi-screen collaboration tool
Proceedings of the 15th annual ACM symposium on User interface software and technology
PointRight: experience with flexible input redirection in interactive workspaces
Proceedings of the 15th annual ACM symposium on User interface software and technology
Semantic pointing: improving target acquisition with control-display ratio adaptation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Improving drag-and-drop on wall-size displays
GI '05 Proceedings of Graphics Interface 2005
Social Bookmarking in the Enterprise
Queue - Social Computing
CSCL '99 Proceedings of the 1999 conference on Computer support for collaborative learning
Multiple mice for retention tasks in disadvantaged schools
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Evaluating tagging behavior in social bookmarking systems: metrics and design heuristics
Proceedings of the 2007 international ACM conference on Supporting group work
CoSearch: a system for co-located collaborative web search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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In this paper, our aim is to facilitate synchronous and co-present interaction with social bookmarking systems for groups of related users meeting to discuss and share their collections of tags and bookmarks. Our work results in a system called Orchis that proposes a graphical user interface based on cooperative visualization and interaction as an alternative graphical user interface for social bookmarking systems. Orchis presents three major characteristics: (1) graphical overviews of collections of annotated bookmarks and tags, (2) advanced drag-and-drop interaction styles adaptable to distributed display environments and (3) support for distributed architectures possibly running different windowing systems. Our hypothesis is that by using Orchis, related users will be able to better compare and share tags and bookmarks. They will also be able to build cooperatively valuable shared collections. We expect that, in turn, this will participate in improving the overall quality of both folksonomies and social bookmarking collections.