Nivedita R. Kadaba

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Michotte's theory of ampliation suggests that causal relationships are perceived by objects animated under appropriate spatiotemporal conditions. We extend the theory of ampliation and propose that the immediate perception of complex causal relations is also dependent on a set of structural and temporal rules. We designed animated representations, based on(More)
Causal relationships are inherent in the world around us and are intrinsic to our decision making process. Michotte's <i>Theory of Ampliation</i> 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(More)
We have developed a visual syntax for representing concepts that are contingent on temporal properties (time-dependent semantics). A within-group (N=24) experiment was conducted to identify the representations that conveyed best a given semantic. We then applied our representations to the visualization of algorithms in quantum computing and carried out a(More)
Users of radar control systems and monitoring applications have to constantly extract essential information from dynamic scenes. In these environments a critical and elemental task consists of tracking multiple targets that are moving simultaneously. However, focusing on multiple moving targets is not trivial as it is very easy to lose continuity,(More)
We describe a new multi-level algorithm to draw graphs based on the topological features they contain. Topological features are recursively detected and their subgraphs are collapsed into single nodes, forming a graph hierarchy. Once the hierarchy is computed, we draw the subgraphs of the hierarchy, using an appropriate algorithm for each topological(More)
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