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The growing popularity of social media makes it increasingly difficult to keep up with the huge volumes of information they produce. We present SentenTree, a novel visualization technique that helps people gain a quick understanding of the key concepts and opinions expressed in a given social media text set. SentenTree can be used by both casual social media users and professional analysts.

The AEL has been preparing and pioneering this idea for ten years with our custom browser, Argon. Drawing on this background, we are now transitioning to the use of open-source technology such as A-frame and the Mozilla browser, WebXR viewer.

We propose a real-time eating detection using a commodity smartwatch and use it in the context of assessing the well-being of Georgia Tech students.