This project aims to improve the prediction accuracy of wellbeing (stress, mood, and health levels) using temporal machine learning model...
Excessive stress can decrease office workers' productivity and negatively impact overall health. This project aims to predict office work...
The Guardians Project aims to use the same game design principles used in mobile games to help people form beneficial long-term habits an...
This project seeks to examine the effects of altered gravity on an individual’s physiology during parabolic flight. Specifically, we will...
The SNAPSHOT study seeks to measure Sleep, Networks, Affect, Performance, Stress, and Health using Objective Techniques. It is an NIH-fun...
Electrodermal activity (EDA) recording is a powerful, widely used tool for monitoring psychological or physiological arousal. However, an...
Unlike traditional randomized controlled trials that generalize relationships in large groups of people, single-case experiments seek to ...
We have designed a novel system to promote kindness and gratitude. We leverage pervasive technologies to naturally embed gratitude inspir...
The goal of this project is to apply machine learning methods to model the wellbeing of MIT undergraduate students. Extensive data is obt...
Electrodermal Activity (EDA) is a physiological indicator of stress and strong emotion. While an increasing number of wearable devices ca...