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手机上趋势可视化的动画与小多重图比较评估

A Comparative Evaluation of Animation and Small Multiples for Trend Visualization on Mobile Phones.

作者信息

Brehmer Matthew, Lee Bongshin, Isenberg Petra, Choe Eun Kyoung

出版信息

IEEE Trans Vis Comput Graph. 2020 Jan;26(1):364-374. doi: 10.1109/TVCG.2019.2934397. Epub 2019 Aug 19.

Abstract

We compare the efficacy of animated and small multiples variants of scatterplots on mobile phones for comparing trends in multivariate datasets. Visualization is increasingly prevalent in mobile applications and mobile-first websites, yet there is little prior visualization research dedicated to small displays. In this paper, we build upon previous experimental research carried out on larger displays that assessed animated and non-animated variants of scatterplots. Incorporating similar experimental stimuli and tasks, we conducted an experiment where 96 crowdworker participants performed nine trend comparison tasks using their mobile phones. We found that those using a small multiples design consistently completed tasks in less time, albeit with slightly less confidence than those using an animated design. The accuracy results were more task-dependent, and we further interpret our results according to the characteristics of the individual tasks, with a specific focus on the trajectories of target and distractor data items in each task. We identify cases that appear to favor either animation or small multiples, providing new questions for further experimental research and implications for visualization design on mobile devices. Lastly, we provide a reflection on our evaluation methodology.

摘要

我们比较了手机上散点图的动态变体和小多重图变体在比较多变量数据集中趋势方面的效果。可视化在移动应用程序和移动优先网站中越来越普遍,但此前几乎没有专门针对小屏幕的可视化研究。在本文中,我们基于之前在较大屏幕上进行的实验研究,该研究评估了散点图的动态和非动态变体。我们采用类似的实验刺激和任务,进行了一项实验,96名众包工人参与者使用他们的手机执行了九个趋势比较任务。我们发现,使用小多重图设计的参与者始终能在更短的时间内完成任务,尽管其信心略低于使用动态设计的参与者。准确性结果更依赖于任务,我们根据各个任务的特点进一步解读了我们的结果,特别关注每个任务中目标数据项和干扰数据项的轨迹。我们确定了似乎有利于动态图或小多重图的情况,为进一步的实验研究提出了新问题,并对移动设备上的可视化设计具有启示意义。最后,我们对我们的评估方法进行了反思。

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