Impact of group size on spatial structure understanding tasks

Taylor Sando, Melanie Tory, Pourang Irani
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引用次数: 4

Abstract

Co-located collaborative tasks allow teams to leverage the skills of each individual member. While numerous guidelines exist to develop visualizations for individuals working on desktops, very little is known about how groups of individuals interpret and comprehend diverse types of visual constructs on larger displays. To study whether group size impacts the collective understanding of relationships in three-dimensional (3D) spatial structures when using different types of presentation, we carried out three experiments. We compared individual performance at structure understanding tasks to performance of groups containing two or four members. We consider two alternate visualization techniques for extracting 3D structure information: a 3D view with animated rotations and a combination of one static 3D plus three static two-dimensional (2D) projection views. In general our studies suggest that as group size increases, so does accuracy but with a cost in efficiency. Our results also suggest that beyond a threshold limit in group size, performance on certain tasks begins to degrade. Regardless of group size, participants performed better when the display was presented in the animation condition instead of the multiple static views, except when large groups needed to relate the visualization to a physical counterpart. We summarize our results in terms of Steiner's model for explaining the effects of group size and task characteristics on group performance.
群体规模对空间结构理解任务的影响
协同任务允许团队利用每个成员的技能。虽然存在许多指导方针来为在桌面上工作的个人开发可视化,但对于个人群体如何在更大的显示器上解释和理解不同类型的视觉结构,我们知之甚少。为了研究群体规模是否会影响群体对三维空间结构中关系的理解,我们进行了三个实验。我们比较了个人在结构理解任务中的表现与两名或四名成员组成的小组的表现。我们考虑了两种用于提取3D结构信息的替代可视化技术:带有动画旋转的3D视图和一个静态3D加上三个静态二维(2D)投影视图的组合。总的来说,我们的研究表明,随着群体规模的增加,准确性也会提高,但效率会降低。我们的研究结果还表明,超过小组规模的阈值限制,某些任务的性能就会开始下降。无论小组大小如何,当显示在动画条件下而不是在多个静态视图中呈现时,参与者表现得更好,除非大型小组需要将可视化与物理对应物联系起来。我们用斯坦纳模型来解释群体规模和任务特征对群体绩效的影响。
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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