Expressive Information Visualization Taxonomy for Decision Support Environment

This paper proposes expressive information visualization (IV) taxonomy to support cognitive and perceptual needs for decision support environment. Four key dimensions have been identified, namely representation, organization, interaction and content. The effects of these expressive dimensions on user satisfaction were examined. Results suggest that these dimensions are important and affect their satisfaction. Further analysis was conducted and results indicate that there are significant differences across IV techniques and decision style. This suggests and provides empirical evidence that the proposed expressive IV taxonomy is important to consider in the design and evaluation of IV in particular and user interface in general.