HCSIJan 17, 2020

A Study of Mental Maps in Immersive Network Visualization

arXiv:2001.06462v129 citations
AI Analysis

This addresses the challenge of optimizing network visualization for different cognitive tasks, but it is incremental as it compares existing environments without introducing new methods.

The study tackled the problem of how 3D immersive versus 2D desktop visualizations affect mental map comprehension in network visualization, finding that immersive environments improved accuracy for interpreting network structure, especially in larger networks, but 2D was better for spatial memory tasks.

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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