1999 IEEE International Conference on Information Visualization (Cat. No. PR00210)
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Abstract

The Reorderable Matrix is a simple visualization method for quantitative tabular data. This paper examines how first-time users interact with the Reorderable Matrix and how well they perform a simple task of finding correlating attributes. Visualizing a set of data is a common task in various activities such as decision-making or opinion-forming. Typical situations are a person making business-related decisions, a doctor examining test results of a patient or an engineer making choices between different constructs. All these situations involve examining complex data interactions in a limited time. In this experiment the participants were interacting with the Reorderable Matrix for the first time and tried to find correlating attributes from an unfamiliar set of data.
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