Animated versus static views of steady flow patterns

C. Ware, Daniel Bolan, Ricky Miller, D. Rogers, J. Ahrens
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引用次数: 14

Abstract

Two experiments were conducted to test the hypothesis that animated representations of vector fields are more effective than common static representations even for steady flow. We compared four flow visualization methods: animated streamlets, animated orthogonal line segments (where short lines were elongated orthogonal to the flow direction but animated in the direction of flow), static equally spaced streamlines, and static arrow grids. The first experiment involved a pattern detection task in which the participant searched for an anomalous flow pattern in a field of similar patterns. The results showed that both the animation methods produced more accurate and faster responses. The second experiment involved mentally tracing an advection path from a central dot in the flow field and marking where the path would cross the boundary of a surrounding circle. For this task the animated streamlets resulted in better performance than the other methods, but the animated orthogonal particles resulted in the worst performance. We conclude with recommendations for the representation of steady flow patterns.
稳定流动模式的动画与静态视图
两个实验进行了测试的假设,即动画表示比常见的静态表示更有效的矢量场,即使是稳定的流动。我们比较了四种流动可视化方法:动画小溪,动画正交线段(其中短线条与流动方向正交,但在流动方向上动画),静态等间距流线和静态箭头网格。第一个实验涉及到一个模式检测任务,在这个任务中,参与者在一个相似模式的领域中寻找一个异常的流动模式。结果表明,两种动画方法都能产生更准确、更快的响应。第二个实验涉及到从流场的中心点开始在心里追踪一条平流路径,并标记出该路径将在哪里与周围圆圈的边界相交。对于该任务,动画流比其他方法的性能更好,但动画正交粒子的性能最差。最后,我们对稳定流型的表示提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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