The movable filter as a user interface tool
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Designing the User Interface: Strategies for Effective Human-Computer Interaction
Designing the User Interface: Strategies for Effective Human-Computer Interaction
Finding the flow in web site search
Communications of the ACM
Geographic location tags on digital images
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Finding corresponding objects when integrating several geo-spatial datasets
Proceedings of the 13th annual ACM international workshop on Geographic information systems
Usability studies of geovisualization software in the workplace
dg.o '02 Proceedings of the 2002 annual national conference on Digital government research
MapCruncher: integrating the world's geographic information
ACM SIGOPS Operating Systems Review - Systems work at Microsoft Research
Theorizing mobility in community networks
International Journal of Human-Computer Studies
Enabling group-awareness through context-based service provisioning
Proceedings of the 3rd ACM International Workshop on Context-Awareness for Self-Managing Systems
JigsawMap: connecting the past to the future by mapping historical textual cadasters
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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The recent introduction of simple, web-based geographic visualization interfaces has unleashed a tidal wave of new geographic content now available on the Internet. There has been enormous attention on the development of data interchange standards and programming interfaces that make all this content interoperable, but far less thought about how the user experience should change when users have their choice of 10,000 maps. To inform the design of online mapping systems, we investigate the case of queries that require correlation of multiple maps---that is, discovery and synthesis of several map layers. We based our study on interviews with expert users of maps: archivists and librarians. This paper describes our user-task taxonomy distilled from these interviews, and presents MapSynthesizer, a prototype system that allows users to efficiently query, discover, and integrate many maps from a corpus of thousands.