沉浸式网络可视化中的心理地图研究

Joseph Kotlarek, Oh-Hyun Kwon, K. Ma, P. Eades, A. Kerren, Karsten Klein, F. Schreiber
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引用次数: 22

摘要

网络的可视化影响着观看者为理解网络而形成的心理地图的质量。在这项研究中,我们研究了3D沉浸式可视化环境与传统2D桌面环境对网络结构理解的影响。我们使用三个任务来比较两种可视化环境——解释网络结构、记忆一组节点和识别结构变化——通常用于评估网络可视化中心理地图的质量。结果表明,当参与者在沉浸式环境中观察网络时,能够更准确地解释网络结构,特别是对于较大的网络。然而,我们发现,在需要空间记忆的任务中,2D可视化比沉浸式可视化表现得更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study of Mental Maps in Immersive Network Visualization
The visualization of a network influences the quality of the mental map that the viewer develops to understand the network. In this study, we investigate the effects of a 3D immersive visualization environment compared to a traditional 2D desktop environment on the comprehension of a network’s structure. We compare the two visualization environments using three tasks—interpreting network structure, memorizing a set of nodes, and identifying the structural changes—commonly used for evaluating the quality of a mental map in network visualization. The results show that participants were able to interpret network structure more accurately when viewing the network in an immersive environment, particularly for larger networks. However, we found that 2D visualizations performed better than immersive visualization for tasks that required spatial memory.
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