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Communications of the ACM
Using icons to find documents: simplicity is critical
INTERCHI '93 Proceedings of the INTERCHI '93 conference on Human factors in computing systems
Data mountain: using spatial memory for document management
Proceedings of the 11th annual ACM symposium on User interface software and technology
Link prediction and path analysis using Markov chains
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ACM SIGDOC Asterisk Journal of Computer Documentation
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CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
VisualIDs: automatic distinctive icons for desktop interfaces
ACM SIGGRAPH 2004 Papers
Saving and using encountered information: implications for electronic periodicals
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Using spring algorithms to remove node overlapping
APVis '05 proceedings of the 2005 Asia-Pacific symposium on Information visualisation - Volume 45
The Sandbox for analysis: concepts and methods
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CoSense: enhancing sensemaking for collaborative web search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
"Where's Farah?": Knowledge silos and information fusion by distributed collaborating teams
Information Systems Frontiers
Geovisual evaluation of public participation in decision making: The grapevine
Journal of Visual Languages and Computing
Distributed sensemaking: improving sensemaking by leveraging the efforts of previous users
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
DPPI '11 Proceedings of the 2011 Conference on Designing Pleasurable Products and Interfaces
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We introduce EWall, an experimental visual analytics environment for the support of remote-collaborative sense-making activities. EWall is designed to foster and support 'object focused thinking', where users represent and understand information as objects, construct and recognize contextual relationships among objects, as well as communicate through objects. EWall also offers a unified infrastructure for the implementation and testing of computational agents that consolidate user contributions and manage the flow of information among users through the creation and management of a 'virtual transactive memory'. EWall users operate their individual graphical interfaces to collect, abstract, organize and comprehend task-relevant information relative to their areas of expertise. A first type of computational agents infers possible relationships among information items through the analysis of the spatial and temporal organization and collaborative use of information. All information items and relationships converge in a shared database. A second type of computational agents evaluates the contents of the shared database and provides individual users with a customized selection of potentially relevant information. A learning mechanism allows the computational agents to adapt to particular users and circumstances. EWall is designed to enable individual users to navigate vast amounts of shared information effectively and help remotely dispersed team members combine their contributions, work independently without diverting from common objectives, and minimize the necessary amount of verbal communication.