This article explains the different ways in which people extract information from graphical representations. The article is divided into two main categories. One that deals with the extraction of quantitative information from the graphs and the second one is ordering the elementary perceptual tasks by the accuracy of extraction.
In the first part the author speaks about the different graphical representations that people normally use to visualize data like bar graphs, pie charts, curve difference charts, Cartesian graphs etc and the elementary tasks performed while extracting information from the graph like area, volume, curvature etc.
The second part mainly deals with the actual proving of the hypothesis and drawing conclusions from it. Seeing which elementary task is more accurate and closure to the actual encoded values.
I think the results of the experiment conducted were pretty interesting. I think through this paper I realized the difference in thinking of the people when they were extracting information from the graphs.But I don’t really agree with the author when he talks about discarding the old practices in graph visualizations. Although the field of graphics has advanced to a great extent, I feel the old practices laid the foundation of visualization. Over the years the rules of graphical representation have been modified and changes have been according to the new styles of representations. So I think just a modification would suffice the cause here.
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