@inproceedings{a6815481e4574d22a23dec5d07e003ee,
title = "Web-based 3D Smog Visualization for Air Pollution Analysis",
abstract = "The increase in the transaction of data and availability of augmented reality devices (virtual, augmented, and mixed reality) have led to the formation of a suitable environment for the realtime communication of complex air pollution data to a diverse population of individuals. In recent years, air pollution has become a global concern and thus it is important to constantly monitor air pollution and communicate it to citizens. In this study we design a web-based, 3-Dimensional virtual reality platform to portray air pollution risk through a realistic smog effect over the Joshua Tree Landscape. Through user natural language processing evaluation, this platform is shown to increase user risk perception of air pollution and its relation to environmental landscapes. Our model promotes the user's exploration of an air pollution landscape and provides tools to portray air pollution data to citizens.",
keywords = "3D Modelling, 3D Visualization, Web Cartography, X3DOM",
author = "Jordan Limperis and Felix Hamza-Lup and Weitian Tong",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Computational Science and Computational Intelligence, CSCI 2022 ; Conference date: 14-12-2022 Through 16-12-2022",
year = "2022",
doi = "10.1109/CSCI58124.2022.00085",
language = "English",
series = "Proceedings - 2022 International Conference on Computational Science and Computational Intelligence, CSCI 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "438--444",
booktitle = "Proceedings - 2022 International Conference on Computational Science and Computational Intelligence, CSCI 2022",
address = "United States",
}