More and more people today are using activity trackers like Fitbit and connecting them to their social media like Twitter. And what more, some people make their daily quantified activity time series public. So on one hand, we have their entire twitter network in the form of timelines, friends, followers and their entire network and on the other hand, we have their entire workout data. We are trying to answer some interesting question from these two sets of data.
Problem Statement: First Responders struggle more with mental health than the average group due to compound stress. The Process: Initial Research, Ride-alongs, Affinity Mapping, Mock-ups, Codesign, Storyboards, prototypes, user validation and iterations. The Solution: Conversational AI to improve mental health
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GT Computing, Apr 16, 2021
Yang’s research, which is being led by her Ph.D. student Jiaao Chen, aims to alleviate dependence of supervised models on labeled data via data augmentation approaches.
GT Computing, Feb 19, 2021
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