The perspective wall: detail and context smoothly integrated
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Cone Trees: animated 3D visualizations of hierarchical information
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A graphical filter/flow representation of Boolean queries: a prototype implementation and evaluation
Journal of the American Society for Information Science
Visual information seeking: tight coupling of dynamic query filters with starfield displays
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
TileBars: visualization of term distribution information in full text information access
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A focus+context technique based on hyperbolic geometry for visualizing large hierarchies
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
IVEE: an Information Visualization and Exploration Environment
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
Tree-Maps: a space-filling approach to the visualization of hierarchical information structures
VIS '91 Proceedings of the 2nd conference on Visualization '91
Spotfire: an information exploration environment
ACM SIGMOD Record
Visual Languages: Where Do We Stand?
AGTIVE '99 Proceedings of the International Workshop on Applications of Graph Transformations with Industrial Relevance
An Awareness Raising System to Support Cross-department Coordination in Matrix Organizations
Proceedings of the X Brazilian Symposium in Collaborative Systems
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Cocktailmaps is a visualization method for visualization of communicative behavior in complex communication systems such as human conversation, cocktail parties, parallel computers, and telecommunication networks. Cocktailmaps are space-filling in that they effectively utilize the available screen real estate to communicate properties such as what communicators dominate a communication over time, what topics are communicated, and how agents move between subcommunications. Cocktailmaps have been implemented utilizing the Information Visualization and Exploration Environment (IVEE) which provides users of cocktailmaps with interactive techniques such as zooming, panning, filtering, and details-on-demand.