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Exploring Multiple and Coordinated Views for Multilayered Geospatial Data in Virtual Reality

Abstract : Virtual reality (VR) headsets offer a large and immersive workspace for displaying visualizations with stereoscopic vision, as compared to traditional environments with monitors or printouts. The controllers for these devices further allow direct three-dimensional interaction with the virtual environment. In this paper, we make use of these advantages to implement a novel multiple and coordinated view (MCV) system in the form of a vertical stack, showing tilted layers of geospatial data. In a formal study based on a use-case from urbanism that requires cross-referencing four layers of geospatial urban data, we compared it against more conventional systems similarly implemented in VR: a simpler grid of layers, and one map that allows for switching between layers. Performance and oculometric analyses showed a slight advantage of the two spatial-multiplexing methods (the grid or the stack) over the temporal multiplexing in blitting. Subgrouping the participants based on their preferences, characteristics, and behavior allowed a more nuanced analysis, allowing us to establish links between e.g., saccadic information, experience with video games, and preferred system. In conclusion, we found that none of the three systems are optimal and a choice of different MCV systems should be provided in order to optimally engage users.
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Submitted on : Monday, September 7, 2020 - 1:15:06 PM
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Maxim Spur, Vincent Tourre, Erwan David, Guillaume Moreau, Patrick Le Callet. Exploring Multiple and Coordinated Views for Multilayered Geospatial Data in Virtual Reality. Information, MDPI, 2020, 11 (9), pp.425. ⟨10.3390/info11090425⟩. ⟨hal-02931923⟩



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