CHI '95 Conference Companion on Human Factors in Computing Systems
International Journal of Human-Computer Studies - Special issue: Interactive graphical communication
Animated visualization of causal relations through growing 2D geometry
Information Visualization - Special issue: Software visualization
Visualizing Causal Semantics Using Animations
IEEE Transactions on Visualization and Computer Graphics
Causality visualization using animated growing polygons
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
Understanding dynamic and static displays: using images to reason dynamically
Cognitive Systems Research
Perceiving complex causation through interaction
Proceedings of the Symposium on Computational Aesthetics
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Causal relationships are inherent in the world around us and are intrinsic to our decision making process. Michotte's Theory of Ampliation suggests that the perception of causality can be enhanced under appropriate spatiotemporal conditions. We extended this theory and proposed that simple static and animated designs, based on structural and temporal rules, enable the perception of complex causal semantics, such as additive, mediated, and bidirectional causalities. Results of our experiment showed that participants were ~5% more accurate and ~8% faster with the animations, than with the static representations. Overall our results show that animations that are designed based on perceptual rules assist the comprehension of complex causal relations.