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Modeling a Graph Viewer's Effort in Recognizing Messages Conveyed by Grouped Bar Charts

机译:建模图表查看器识别由分组条形图传达的消息的努力

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Information graphics (bar charts, line graphs, etc.) in popular media generally have a high-level message that they are intended to convey. These messages are seldom repeated in the document's text yet contribute to understanding the overall document. The relative perceptual effort required to recognize a particular message is a communicative signal that serves as a clue about whether that message is the one intended by the graph designer. This paper presents a model of relative effort by a viewer for recognizing different messages from grouped bar charts. The model is implemented within the ACT-R cognitive framework and has been validated by human subjects experiments. We also present a statistical analysis of the contribution of effort in recognizing the intended message of a grouped bar chart.
机译:流行媒体中的信息图形(条形图,线图等)通常具有它们旨在传达的高级消息。这些消息很少在文档的文本中重复,但有助于了解整体文档。识别特定消息所需的相对感知努力是一种通信信号,其用作关于该消息是图形设计者的一个人的线索。本文介绍了观众的相对努力模型,用于识别来自分组的条形图的不同消息。该模型在ACT-R认知框架内实施,并通过人类受试者实验验证。我们还对识别分组条形图的预期消息的努力展示了统计分析。

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