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Proceedings Paper

Using a human cognition model in the creation of collaborative knowledge visualizations
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Paper Abstract

This paper explores the basis and usefulness of a predictive model for the architecture of data and knowledge visualizations based on human higher-cognition, including human tendencies in reasoning heuristics and cognitive biases. The strengths and weakness of would-be human and computer collaborators are explored, and a model framework is outlined and discussed.

Paper Details

Date Published: 15 April 2008
PDF: 10 pages
Proc. SPIE 6983, Defense and Security 2008: Special Sessions on Food Safety, Visual Analytics, Resource Restricted Embedded and Sensor Networks, and 3D Imaging and Display, 69830C (15 April 2008); doi: 10.1117/12.777189
Show Author Affiliations
Tera Marie Green, Univ. of North Carolina at Charlotte (United States)
William Ribarsky, Univ. of North Carolina at Charlotte (United States)


Published in SPIE Proceedings Vol. 6983:
Defense and Security 2008: Special Sessions on Food Safety, Visual Analytics, Resource Restricted Embedded and Sensor Networks, and 3D Imaging and Display
Moon S. Kim; Kaunglin Chao; William J. Tolone; William Ribarsky; Sergey I. Balandin; Bahram Javidi; Shu-I Tu, Editor(s)

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