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动画在趋势可视化中的有效性。

Effectiveness of animation in trend visualization.

作者信息

Robertson George, Fernandez Roland, Fisher Danyel, Lee Bongshin, Stasko John

机构信息

Microsoft Research.

出版信息

IEEE Trans Vis Comput Graph. 2008 Nov-Dec;14(6):1325-32. doi: 10.1109/TVCG.2008.125.

Abstract

Animation has been used to show trends in multi-dimensional data. This technique has recently gained new prominence for presentations, most notably with Gapminder Trendalyzer. In Trendalyzer, animation together with interesting data and an engaging presenter helps the audience understand the results of an analysis of the data. It is less clear whether trend animation is effective for analysis. This paper proposes two alternative trend visualizations that use static depictions of trends: one which shows traces of all trends overlaid simultaneously in one display and a second that uses a small multiples display to show the trend traces side-by-side. The paper evaluates the three visualizations for both analysis and presentation. Results indicate that trend animation can be challenging to use even for presentations; while it is the fastest technique for presentation and participants find it enjoyable and exciting, it does lead to many participant errors. Animation is the least effective form for analysis; both static depictions of trends are significantly faster than animation, and the small multiples display is more accurate.

摘要

动画已被用于展示多维数据的趋势。这项技术最近在演示中重新受到关注,最显著的是通过Gapminder Trendalyzer。在Trendalyzer中,动画与有趣的数据和引人入胜的演示者相结合,有助于观众理解数据分析的结果。趋势动画对分析是否有效则不太明确。本文提出了两种使用趋势静态描绘的替代趋势可视化方法:一种是在一个显示中同时叠加显示所有趋势的轨迹,另一种是使用小多重显示并排展示趋势轨迹。本文对这三种可视化方法在分析和演示方面进行了评估。结果表明,即使对于演示来说,趋势动画也可能具有挑战性;虽然它是最快的演示技术,参与者觉得它有趣且令人兴奋,但它确实会导致许多参与者出错。动画是最不利于分析的形式;两种趋势的静态描绘都比动画快得多,并且小多重显示更准确。

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