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  4. Dynamic Exposure Visualization of Air Quality Data with Augmented Reality
 
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2024
Conference Paper
Title

Dynamic Exposure Visualization of Air Quality Data with Augmented Reality

Abstract
Increased awareness regarding air pollution and environmental conditions is more relevant than ever. Notably, there is already widespread availability of do-it-yourself (DIY) environmental and air quality sensors across Europe. These data are accessible to the public through various web interfaces, providing insights into current and past environmental conditions across different regions of Europe. Augmented Reality (AR) stands out as a promising technology to enable citizens to monitor environmental conditions in their communities and comprehend their own impact, thus motivating behavioural changes. Nevertheless, effectively visualizing real-time environmental data in the 3D AR space remains a challenge. Innovative visualization techniques are necessary to present environmental data in a clear and engaging manner. In this paper, we introduce a framework, a visualization concept, and a prototype AR application capable of providing a visual overlay of environmental information such as air quality or traffic data. These concepts stem from the European project H2020 COMPAIR, which involved users throughout the development process. The application will undergo evaluation in various pilot cities and regions and will be publicly available via app stores by mid-2024.
Author(s)
Renault, Sylvain  
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Feldmann, Ingo  
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Raes, Lieven
Digitaal Vlaanderen
Silence, Jurgen
Digitaal Vlaanderen
Schreer, Oliver  
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Mainwork
GISTAM 2024, 10th International Conference on Geographical Information Systems Theory, Applications and Management. Proceedings  
Conference
International Conference on Geographical Information Systems Theory, Applications and Management 2024  
Open Access
DOI
10.5220/0012586700003696
Additional link
Full text
Language
English
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Keyword(s)
  • Air Quality Data

  • Augmented Reality

  • Citizen Science

  • Environmental Data

  • Visualization

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