Hypothesis Visualization

Authors:
Diane Cluxton;Stephen G. Eick;Jie Yun
Affiliations:
SSS Research, Inc.;SSS Research, Inc.;SSS Research, Inc.
Venue:
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Year:
2004

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ISIICT'09 Proceedings of the Third international conference on Innovation and Information and Communication Technology

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Visualization

Abstract

We have constructed an information visualization tool for understanding complex arguments. The tool enables analysts to construct structured arguments using judicial proof techniques, associate evidence with hypotheses, and set evidence parameters such as relevance and credibility. Users manipulate the hypotheses and their associated inference networks using visualization techniques. Our tool integrates concepts from structured argumentation, analysis of competing hypotheses, and hypothesis scoring with information visualization. It presents new metaphors for visualizing and manipulating structured arguments.