CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Graphical fisheye views of graphs
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Stretching the rubber sheet: a metaphor for viewing large layouts on small screens
UIST '93 Proceedings of the 6th annual ACM symposium on User interface software and technology
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
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
A comparison of fisheye lenses for interactive layout tasks
GI '04 Proceedings of the 2004 Graphics Interface Conference
Automatic image retargeting with fisheye-view warping
Proceedings of the 18th annual ACM symposium on User interface software and technology
Navitime: Supporting Pedestrian Navigation in the Real World
IEEE Pervasive Computing
Focus+Glue+Context: an improved fisheye approach for web map services
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Wired Fisheye Lens: A Motion-Based Improved Fisheye Interface for Mobile Web Map Services
W2GIS '09 Proceedings of the 9th International Symposium on Web and Wireless Geographical Information Systems
Smooth and efficient zooming and panning
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
A model for smooth viewing and navigation of large 2D information spaces
IEEE Transactions on Visualization and Computer Graphics
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We have previously developed a Focus+Glue+Context-type fisheye view map system called Emma. Emma shows maps of different scales on the same display region, so that users can use wide maps Context and confirm details Focuses simultaneously. However, when multiple Focuses overlap, Emma is problematic in that road-network connections cannot be correctly drawn. In this paper, we propose the Water Drop method as a solution to this problem. It prevents overlapping by transforming Focuses much in the same way that drops of water are transformed, united, and divided due to surface tension. In order to prove the efficiency of the proposed method, we also developed the Overlap Repulsion method as a baseline approach. It prevents overlapping by moving the inactive Focuses away from the active Focus when an active Focus overlaps inactive Focuses. We conducted three experimental evaluations from the point of view of the both usability of the interface and map visibility.