A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit <a rel="external noopener" href="https://arxiv.org/pdf/2107.00227v2.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
UrbanVR: An immersive analytics system for context-aware urban design
[article]
<span title="2021-08-23">2021</span>
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arXiv
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<span class="release-stage" >pre-print</span>
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<span title="2021-07-01">2021</span>
<span class="release-stage" >pre-print</span>
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.00227v1">arXiv:2107.00227v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eunoefh6pngvpm72upy7lpvcga">fatcat:eunoefh6pngvpm72upy7lpvcga</a> </span>
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Urban design is a highly visual discipline that requires visualization for informed decision making. However, traditional urban design tools are mostly limited to representations on 2D displays that lack intuitive awareness. The popularity of head-mounted displays (HMDs) promotes a promising alternative with consumer-grade 3D displays. We introduce UrbanVR, an immersive analytics system with effective visualization and interaction techniques, to enable architects to assess designs in a virtual
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<a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.00227v2">arXiv:2107.00227v2</a>
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... eality (VR) environment. Specifically, UrbanVR incorporates 1) a customized parallel coordinates plot (PCP) design to facilitate quantitative assessment of high-dimensional design metrics, 2) a series of egocentric interactions, including gesture interactions and handle-bar metaphors, to facilitate user interactions, and 3) a viewpoint optimization algorithm to help users explore both the PCP for quantitative analysis, and objects of interest for context awareness. Effectiveness and feasibility of the system are validated through quantitative user studies and qualitative expert feedbacks.
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