CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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
The movable filter as a user interface tool
CHI '94 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
Cheops: a compact explorer for complex hierarchies
Proceedings of the 7th conference on Visualization '96
Object-oriented application frameworks
Communications of the ACM
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Research report: Interacting with huge hierarchies: beyond cone trees
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
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Hierarchical structures are found in much of the data that is used in everyday life including organisational management hierarchies and computer directory structures. The effective visualisation of large hierarchical information structures on limited size and resolution computer displays is important. The evolution of multimedia user interfaces is moving towards 3D graphical user interfaces for certain applications. One possible use of 3D on the WWW would be to extend the concept of presenting information of an organisation in three dimensions. The objective of this research project was to create an object-oriented framework that could be used to represent hierarchical data in 3D space using modified cone trees. Implementing and modelling the data used by a tertiary institution tested the framework. The research shows that frameworks can be used to represented hierarchical structures in 3D space and can assist users in manipulating and better visualising hierarchical data.