The empirical investigation of factors affecting graphical visualization

An estimated 2.2 trillion graphs were published during 1994. These graphs used a multitude of different visual techniques in an effort to communicate information to a reader. Despite the many important applications for which graphs are used and the frequency of their use, little is known about what techniques make a graph most effective at communicating information to a reader. This paucity of knowledge stems largely from a dearth of empirical investigations pertaining to graphs. A major problem encountered by researchers who wish to undertake sound empirical research into the effectiveness of graphical presentations is the shortage of suitable tools. This article presents a computer software tool, Graphics Visualization, which offers the researcher an inexpensive yet accurate and reliable method of performing empirical research into factors that affect the accuracy and speed by which a reader can interpret data encoded within a graph.