Geon Diagrams

Project Description

geon According to recognition-by-component theories, geons (for geometrical ions) are simple 3D perceptual primitives that enable the recognition of objects in our environment. We used geons on node-link diagrams and studied their effectiveness for retention and recall. The latest version of geon diagrams, embeds within it software class semantics based on our understanding of spatial relations. Geon diagram are effective in revealing software class semantics, similar to those captured in UML diagrams. Students are also able to learn and recall the software class semantics easier with geon diagrams than with UML class diagrams.

Collaborators

Project Publications

Pourang Irani. 2004. Notations for Software Engineering Class Structures. In Lecture Notes in Computer Science: Diagrammatic Representation and Inference. Proceedings of the International Conference on the Theory and Application of Diagrams, 441-445.
AbstractPaperPublisher Link

Pourang Irani and Colin Ware. 2004. The Effect of a Perceptual Syntax on the Learnability of Novel Concepts. In Proceedings of the IEEE International Conference on Information Visualization (IV '04), 308-314.
AbstractPaperPublisher Link

Pourang Irani and Colin Ware. 2003. Diagramming Information Structures using 3D Perceptual Primitives. ACM Transactions on Computer Human-Interaction, 10(1), 1-19.
AbstractPaperPublisher Link

Pourang Irani. 2002. Learnability of Diagram Semantics. In International Conference on Theory and Application of Diagrams, 335-338.

Pourang Irani. 2002. Geon Diagrams: a Perception Based Method for Visualizing Structured Information. PhD thesis, University of New Brunswick. (Nominated for Best Dissertation Award)
AbstractPaper

Pourang Irani and Colin Ware. 2001. Should the Elements of Diagrams Be Rendered in 3D? In IEEE InfoVis (Hot Breaking Topics), 21-24.

Pourang Irani, Colin Ware and Maureen Tingley. 2001. Using Perceptual Syntax to Enhance Semantic Content in Diagrams. IEEE Computer Graphics & Applications, 21(5), 76-85.
AbstractPaperPublisher Link

Pourang Irani and Colin Ware. 2000. 3D Diagrams Based on Theories of Structural Perception. In Proceedings of the Working Conference on Advanced Visual Interfaces (AVI '00), 61-67.
AbstractPaperPublisher Link