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Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Imaging vector fields using line integral convolution
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Design galleries: a general approach to setting parameters for computer graphics and animation
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
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Proceedings of the conference on Visualization '98
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IEEE Transactions on Visualization and Computer Graphics
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VIS '95 Proceedings of the 6th conference on Visualization '95
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Eighteenth national conference on Artificial intelligence
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ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
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IEEE Computer Graphics and Applications
The 2001 trading agent competition
IAAI'02 Proceedings of the 14th conference on Innovative applications of artificial intelligence - Volume 1
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SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
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ACAL'07 Proceedings of the 3rd Australian conference on Progress in artificial life
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ACM Computing Surveys (CSUR)
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AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
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This paper describes the integration of perceptual guidelines from human vision with an Al-based mixed-initiative search technique. The result is a visualization assistant, a system that identifies perceptually salient visualizations for large, multidimensional collections of data. Understanding how the low-level human visual system "sees" visual information in an image allows us to: (1) evaluate a particular visualization, and (2) direct the search algorithm towards new visualizations that may be better than those seen to date. In this way we can limit search to locations that have the highest potential to contain effective visualizations. One testbed application for this work is the visualization of intelligent e-commerce auction agents participating in a simulated online auction environment. We describe how the visualization assistant was used to choose methods to effectively visualize this data.