Earth Mission Control: A Virtual Reality Platform for Bridging the Climate Science Communication Gap
Name
cherner-pcherner-meng-eecs-2024-thesis.pdf
Description
Thesis PDF
Size
49.84 MB
Format
Adobe PDF
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92ad485d121c7ab4d38b144918a9d26f
Author(s)
Cherner, Phillip
Advisor(s)
Newman, Dava J.
Date Issued
February 2024
Publisher
Massachusetts Institute of Technology
Abstract
Data visualizations are incredibly powerful tools for engaging users with increasingly complex and unfamiliar information about the Earth’s changing climate, yet scientists often use only one tool or modality to communicate their ideas about climate data, such as two-dimensional figures and graphs. With the rise of commercially available virtual reality (VR), we can leverage the affordances of the immersive technology to help integrate multiple modalities into a cohesive experience. In this thesis, I will present the design and implementation of the Earth Mission Control (EMC), an immersive multi-user VR data visualization platform designed to enable scientists and educators to more effectively communicate their data-driven stories of climate impacts to policymakers and community members to help them deepen their understanding of their community and the climate impacts that they are facing. The EMC combines existing visualization modalities such as NASA’s Hyperwalls, spherical projections (e.g., NOAA’s Science on a Sphere), map tables, virtual environments, 360 video, and human scale immersive experiences into an engaging and highly interactive VR environment, leveraging each of the modalities’ unique strengths. The design and creation of an AI-powered virtual assistant is also described as a way to add increased immersion, more natural interactions, and increased presence. Initial testing of potential effectiveness of the platform in providing a deeper understanding of localized climate issues and available adaptation strategies and personal actions are also discussed.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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