4.7 Article

UrbanRama: Navigating Cities in Virtual Reality

期刊

出版社

IEEE COMPUTER SOC
DOI: 10.1109/TVCG.2021.3099012

关键词

Navigation; Strain; Three-dimensional displays; Task analysis; Urban planning; Buildings; Virtual environments; Virtual reality; VR navigation; cylindrical deformation

资金

  1. NSF [CNS-1229185, CCF-1533564, CNS-1544753, CNS1730396, CNS-1828576, CNS-1626098]
  2. CNPq [305974/2018-1]
  3. FAPERJ [E-26/202.915/2019, E-26/211.134/2019]

向作者/读者索取更多资源

This article explores the issue of viewing and navigating cities in virtual environments and proposes an intuitive navigation interface called UrbanRama that combines local and global views. Through iterative design and collaboration with architects and urban planners, the system effectively reduces perspective changes while maintaining distance and orientation perception. The findings from qualitative and quantitative user studies demonstrate the effectiveness of UrbanRama.
Exploring large virtual environments, such as cities, is a central task in several domains, such as gaming and urban planning. VR systems can greatly help this task by providing an immersive experience; however, a common issue with viewing and navigating a city in the traditional sense is that users can either obtain a local or a global view, but not both at the same time, requiring them to continuously switch between perspectives, losing context and distracting them from their analysis. In this article, our goal is to allow users to navigate to points of interest without changing perspectives. To accomplish this, we design an intuitive navigation interface that takes advantage of the strong sense of spatial presence provided by VR. We supplement this interface with a perspective that warps the environment, called UrbanRama, based on a cylindrical projection, providing a mix of local and global views. The design of this interface was performed as an iterative process in collaboration with architects and urban planners. We conducted a qualitative and a quantitative pilot user study to evaluate UrbanRama and the results indicate the effectiveness of our system in reducing perspective changes, while ensuring that the warping doesn't affect distance and orientation perception.

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