arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2001.06462cs.HCcs.SI
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沉浸式网络可视化中的心理地图研究

A Study of Mental Maps in Immersive Network Visualization

Joseph Kotlarek, Oh-Hyun Kwon, Kwan-Liu Ma, Peter Eades, Andreas Kerren, Karsten Klein, Falk Schreiber

摘要:

网络的可视化会影响观察者为理解网络而开发的心理地图的质量。在这项研究中,我们调查的影响,一个3D沉浸式可视化环境相比,传统的2D桌面环境对网络的结构的理解。我们比较了两个可视化环境使用三个任务-解释网络结构,记忆一组节点,并确定结构变化-通常用于评估网络可视化中的心理地图的质量。结果表明,当参与者在沉浸式环境中查看网络时,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,对于需要空间记忆的任务,2D可视化比沉浸式可视化表现得更好。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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