Measuring perceived clutter in concept diagrams
Measuring perceived clutter in concept diagrams
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DOI：
10.1109/vlhcc.2016.7739661
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Tie Hou;P. Chapman;Ian Oliver
中科院分区：
文献类型：
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作者：
Tie Hou;P. Chapman;Ian Oliver
图表中的混乱程度可以广泛地定义为图表在视觉上的复杂程度。然而，不同的用户可能以不同的方式感知混乱。此外，研究表明，对于某些类型的图表和任务，混乱的增加会对任务性能产生负面影响，从而使量化混乱成为一个重要问题。在本文中，我们研究了概念图中感知的混乱，概念图中是一种用于表示本体的视觉语言。利用感知理论和对其他图的杂波的现有研究，我们提出了五种合理的措施来为概念图分配杂波分数。通过进行实证研究，我们根据参与者的图表排名评估了每项建议的措施。虽然我们的不止一项测量结果显示与感知的杂乱程度有很强的相关性，但我们的结果表明，基于线条交叉点数量的测量方法是量化概念图杂乱程度的最合适方法。
Clutter in a diagram can be broadly defined as how visually complex the diagram is. It may be that different users perceive clutter in different ways, however. Moreover, it has been shown that, for certain types of diagrams and tasks, an increase in clutter negatively affects task performance, making quantifying clutter an important problem. In this paper we investigate the perceived clutter in concept diagrams, a visual language used for representing ontologies. Using perceptual theory and existing research on clutter for other diagrams, we propose five plausible measures for assigning clutter scores to concept diagrams. By performing an empirical study we evaluated each of these proposed measures against participants' rankings of diagrams. Whilst more than one of our measures showed strong correlation with perceived clutter, our results suggest that a measure based on the number of points where lines cross is the most appropriate way to quantify clutter for concept diagrams.