Creative Commons
Attribution-NonCommercial-NoDerivatives 4.0 International
MIT Media Lab
(Note: This project was previously called ECHOS.) Official Commalla website: https://commallamit.wixsite.com/commal...
How do you spot a DeepFake? How good are DeepFake videos? How well can ordinary people tell the difference between a video manipulated by...
Despite the importance of model interpretability and the emergence of techniques for global and local explanations, automatic discovery o...
Before automobiles were invented and widely adopted, animals like horses were the most common mode of transportation. While this change b...
The goal of this project is to develop techniques to remove identifying information from wearable and phone data to protect patients’ pri...
New generative AI technologies (such as the Generative Adversarial Network, or GAN) can allow us to imagine new species. Hidden within th...
The purpose of this study is to investigate possible neural correlates of electrodermal activity. Electrodermal activity (EDA) is a...
Today’s assistive communication devices are far from perfect. Using state of the art small, wearable sensors and powerful machine learnin...
Emotional arousal influences focus, attention, and decision-making, which are critical when driving. To help promote an optimal arousal l...
Try Affective Network!Emotional contagion in online social networks has been of great interest over the past years. Previous studies have...
The Project on Affinities and Language (PAL) is designed to help us understand what happens in a child’s brain when they engage with thei...
What is ELSA?ELSA is an AI-powered chatbot that acts as an empathetic companion, encouraging users to talk about their day through a form...
Adaptive Music for Affect Improvement (AMAI) is a music generation and playback system with the goal of steering the listener toward a st...
Automatic emotion recognition has become a well-established machine learning task in recent years. The sensitive and subjective nature of...
A wearable olfactory display that monitors cardio-respiratory information with the aspiration to support mental wellbeing.BioEssence is a...
The Places dataset (website) is designed following principles of human visual cognition. Our goal is to build a core of visual ...
Depressive disorders are ranked as the single largest contributor to non-fatal health loss (7.5% of all Years Lived with Disability), aff...
We introduce SkinBot: a lightweight robot that moves over the skin's surface with a two-legged suction-based locomotion mechanism and cap...
In the quest towards general artificial intelligence (AI), researchers have explored developing loss functions that act as intrinsic moti...
The project aims to investigate the relationships between emotion, wellbeing, skin, and skincare cosmetics. In our first study, we m...
In this project we explore how to recognize and localize affect in images.
Can we sonfiy calming breathing and passively influence a state of calm?Deep breathing has been scientifically proven to affect the heart...
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 view on Alzheimer’s Disease (AD) diagnosis has shifted towards a more dynamic process in which clinical and pathological markers evo...
Can we modulate the way we hear the world around us to make it more calming or to induce focus? While technology is usually associated wi...
Cube Puzzles: A tangible platform for dynamic assessment of cognitive and psychomotor skillsCognitive and psychomotor assessments are a ...
The delivery of mental health interventions via ubiquitous devices has shown a lot of promise. A natural conversational interface that al...
Open-Source Instructions for Building SPRING System
The explosion of mHealth in both abundant and resource-constrained countries is both a cause for celebration and for concern. While ...
More information coming soon.
Many drugs, such as monoclonal antibodies, are administrated using parenteral delivery devices via subcutaneous injections. Unfortunately...
Pain is a subjective experience commonly measured through patients' self reports. Unfortunately, self-report measures only work when...
This project seeks to examine the effects of altered gravity on an individual’s physiology during parabolic flight. Specifically, we will...
This project investigates a general method for improving the structure and quality of sequences generated by a recurrent neural network (...
The goal of this project is providing machines with the ability of understanding what a person is experiencing from her frame of referenc...
The Guardians Project aims to use the same game design principles used in mobile games to help people form beneficial long-term habits an...
Storytelling is a fundamental way in which human beings understand the world. Imagine watching a movie telling the story of your life, ho...
In collaboration with Massachusetts General Hospital, we are conducting a clinical trial exploring objective methods for assessing depres...
EngageME: Personalized machine learning and humanoid robots for measuring affect and engagement of children with autismEngageME is a proj...
Unlike traditional randomized controlled trials that generalize relationships in large groups of people, single-case experiments seek to ...
We show that using thin slices (< 1 minute) of facial expression and body language data, we can train a deep neural network to predict...
Animated GIFs are widely used on the Internet to express emotions, but automatic analysis of their content is largel...
Individuals with autism are known to have difficulties connecting with other people, reciprocating social interactions, and being emotion...
SPRING is a custom-built hardware and software platform for children with neuro-differences. The system automates data acquisition, optim...
We are conducting EEG studies to identify the musical features and musical interaction patterns that universally impact measures of arous...
This study aims to bring objective measurement to the multiple "pulse" and "pulse-like" measures made by practitioners of traditional Chi...
A common practice in Traditional Chinese Medicine (TCM) is visual examination of the patient's tongue. This study will examine ways to ma...
The relationship between breathing and self-reported stress is bidirectional. Respiration pattern is an indicator of stress, but it can a...
This study attempts to examine humans' affective responses to superimposed sinusoidal signals. These signals can be perceived either thro...
Electrodermal Activity (EDA) is a physiological indicator of stress and strong emotion. While an increasing number of wearable devices ca...
We have designed a novel system to promote kindness and gratitude. We leverage pervasive technologies to naturally embed gratitude inspir...
Mental wellbeing is intimately tied to both social support and physical activity. The Challenge is a tool aimed at promoting social conne...
Electrodermal activity (EDA) recording is a powerful, widely used tool for monitoring psychological or physiological arousal. However, an...
The goal of this project is to apply machine learning methods to model the wellbeing of MIT undergraduate students. Extensive data is obt...
Depression correlated with anxiety is one of the key factors leading to suicidal behavior, and is among the leading causes of death world...
This project examines how the expression granted by new musical interfaces can be harnessed to create positive changes in health and well...
We are developing statistical tools for understanding, modeling, and predicting self-harm by using advanced probabilistic graphical model...
Conversations between two individuals—whether between doctor and patient, mental health therapist and client, or between two people roman...
The proliferation of smartphones and wearable sensors is creating very large data sets that may contain useful information. However, the ...
We explore advanced machine learning and reflective user interfaces to scale the national Crisis Text Line. We are using state-of-the-art...
With the LEGO Group and Hasbro, we looked at the emotional experience of playing with games and LEGO bricks. We measured participants' sk...
The SNAPSHOT study seeks to measure Sleep, Networks, Affect, Performance, Stress, and Health using Objective Techniques. It is an NIH-fun...
Stories, language, and art are at the heart StoryScape. While StoryScape began as a tool to meet the challenging language learning needs ...
The wide availability of low-cost, wearable, biophysiological sensors enables us to measure how the environment and our experiences impac...
Occupational stress can be described as a harmful emotional and physical response that occurs when high demanding job conditions cannot b...
We are developing a mobile phone-based platform to assist people with chronic diseases, panic-anxiety disorders, or addictions. Making us...
OverviewWe have created a new customizable, multi-user research-through-play platform designed to facilitate social skill development for...
In this project, we aim to examine the interplay between the brain and body using physiological sensors and functional magnetic resonance...