CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Human-computer interface techniques for map based diagrams
Proceedings of the third international conference on human-computer interaction on Designing and using human-computer interfaces and knowledge based systems (2nd ed.)
The perspective wall: detail and context smoothly integrated
CHI '91 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
A review and taxonomy of distortion-oriented presentation techniques
ACM Transactions on Computer-Human Interaction (TOCHI)
The Generalized Detail-In-Context Problem
INFOVIS '98 Proceedings of the 1998 IEEE Symposium on Information Visualization
Context in 3D planar navigation
AUIC '01 Proceedings of the 2nd Australasian conference on User interface
Solving the occlusion problem for three-dimensional distortion-oriented displays
AUIC '01 Proceedings of the 2nd Australasian conference on User interface
Multi-perspective images for visualisation
VIP '01 Proceedings of the Pan-Sydney area workshop on Visual information processing - Volume 11
| Hi-index | 0.00 |
Three-dimensional datasets are becoming increasingly common, especially the use of large 3D datasets in Geographical Information Systems (GIS) applications. Similar problems are likely with 3D datasets as have been found with large two-dimensional datasets; namely the loss of context when examining a particular area of the data in detail. This paper proposes a solution based on three-dimensional distortion-oriented displays, building on previous work on such displays for two-dimensional datasets. Two such 3D distortion-oriented displays are described: the 3D Cartesian Fisheye display and the 3D Polar Fisheye display (after their two-dimensional counterparts, the Cartesian Fisheye and Polar Fisheye displays, respectively). These displays are tested with a very small 3D dataset as proof of concept, and it is proposed that their operation be examined when applied to large datasets.