MapStack: Exploring Multilayered Geospatial Data in Virtual Reality
| Autor: | Guillaume Moreau, Erwan J. David, Patrick Le Callet, Maxim Spur, Vincent Tourre |
|---|---|
| Přispěvatelé: | Ambiances, Architectures, Urbanités (AAU), École Centrale de Nantes (ECN)-École nationale supérieure d'architecture de Nantes (ENSA Nantes)-Ministère de la Culture et de la Communication (MCC)-Centre National de la Recherche Scientifique (CNRS)-École nationale supérieure d'architecture de Grenoble (ENSAG ), Université Grenoble Alpes (UGA)-Université Grenoble Alpes (UGA), Centre de recherche nantais Architectures Urbanités (CRENAU ), Université Grenoble Alpes (UGA)-Université Grenoble Alpes (UGA)-École Centrale de Nantes (ECN)-École nationale supérieure d'architecture de Nantes (ENSA Nantes)-Ministère de la Culture et de la Communication (MCC)-Centre National de la Recherche Scientifique (CNRS)-École nationale supérieure d'architecture de Grenoble (ENSAG ), École Centrale de Nantes (ECN), Image Perception Interaction (IPI), Laboratoire des Sciences du Numérique de Nantes (LS2N), Centre National de la Recherche Scientifique (CNRS)-École Centrale de Nantes (ECN)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Centrale de Nantes (ECN)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST) |
| Rok vydání: | 2020 |
| Předmět: |
[SHS.ARCHI]Humanities and Social Sciences/Architecture
space management Geospatial analysis Immersive Analytics Geospatial Data Visualization Computer science Virtual Reality Workspace Virtual reality Grid computer.software_genre [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR] Stack (abstract data type) Virtual machine Human–computer interaction Immersive analytics [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] Coordinated And Multiple Views Urbanism computer |
| Zdroj: | VISIGRAPP (3: IVAPP) 11th International Conference on Information Visualization Theory and Applications 11th International Conference on Information Visualization Theory and Applications, Feb 2020, Valletta, Malta. pp.88-99, ⟨10.5220/0008978600880099⟩ |
| DOI: | 10.5220/0008978600880099 |
| Popis: | International audience; Virtual reality (VR) headsets offer a large and immersive workspace for displaying visualizations with stereo-scopic vision, 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) in the form of a vertical stack, showing tilted layers of geospatial data to facilitate an understanding of multi-layered maps. A formal study based on a use-case from urbanism that requires cross-referencing four layers of geospatial urban data augments our arguments for it by comparing it to more conventional systems similarly implemented in VR: a simpler grid of layers, and switching (blitting) layers on one map. Performance and oculometric analyses showed an advantage of the two spatial-multiplexing methods (the grid or the stack) over the temporal mul-tiplexing in blitting. Overall, users tended to prefer the stack, be ambivalent to the grid, and show dislike for the blitting map. Perhaps more interestingly, we were also able to associate preferences in systems with user characteristics and behavior. |
| Databáze: | OpenAIRE |
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