One of the principal benefits of counterfactual explanations is allowing users to explore "what-if" scenarios through what does not and c...
This project is supported by the Abdul Latif Jameel Clinic for Machine Learning in Health (J-Clinic), the National Institutes of Hea...
OverviewWe have created a new customizable, multi-user research-through-play platform designed to facilitate social skill development for...
We introduce–aSpire–a clippable, mobile pneumatic-haptic device designed to help users regulate their breathing rate via subtle tactile f...
Emotional arousal influences focus, attention, and decision-making, which are critical when driving. To help promote an optimal arousal l...
Automatic emotion recognition has become a well-established machine learning task in recent years. The sensitive and subjective nature of...
Serosa III is a wearable electrode patch that records gastric activity. It reduces the size of the interface and incorporates high-resolu...
Serosa records gastrointestinal (stomach and intestinal) signals. Serosa aims for cognitive enhancement via the mind-gut connection by ai...
Families with ASD often struggle with social and emotional communication. This work explores the role of an embodied agent (a social robo...
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...
Try Affective Network!Emotional contagion in online social networks has been of great interest over the past years. Previous studies have...
The IEEE Standards Association (IEEE-SA) and the MIT Media Lab are joining forces to launch a global Council on ...
In the quest towards general artificial intelligence (AI), researchers have explored developing loss functions that act as intrinsic moti...
Before automobiles were invented and widely adopted, animals like horses were the most common mode of transportation. While this change b...
Adaptive Music for Affect Improvement (AMAI) is a music generation and playback system with the goal of steering the listener toward a st...
The view on Alzheimer’s Disease (AD) diagnosis has shifted towards a more dynamic process in which clinical and pathological markers evo...
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...
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...
In this project, we aim to examine the interplay between the brain and body using physiological sensors and functional magnetic resonance...
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...
The goal of this project is providing machines with the ability of understanding what a person is experiencing from her frame of referenc...
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...
Can we sonfiy calming breathing and passively influence a state of calm?Deep breathing has been scientifically proven to affect the heart...
EngageME: Personalized machine learning and humanoid robots for measuring affect and engagement of children with autismEngageME is a proj...
Animated GIFs are widely used on the Internet to express emotions, but automatic analysis of their content is largel...
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...
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...
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 aims to bring objective measurement to the multiple "pulse" and "pulse-like" measures made by practitioners of traditional Chi...
We are conducting EEG studies to identify the musical features and musical interaction patterns that universally impact measures of arous...
This study attempts to examine humans' affective responses to superimposed sinusoidal signals. These signals can be perceived either thro...
Electrodermal activity (EDA) recording is a powerful, widely used tool for monitoring psychological or physiological arousal. However, an...
Mental wellbeing is intimately tied to both social support and physical activity. The Challenge is a tool aimed at promoting social conne...
Depression correlated with anxiety is one of the key factors leading to suicidal behavior, and is among the leading causes of death world...
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...
We have designed a novel system to promote kindness and gratitude. We leverage pervasive technologies to naturally embed gratitude inspir...
This project examines how the expression granted by new musical interfaces can be harnessed to create positive changes in health and well...
Conversations between two individuals—whether between doctor and patient, mental health therapist and client, or between two people roman...
We are developing statistical tools for understanding, modeling, and predicting self-harm by using advanced probabilistic graphical model...
The proliferation of smartphones and wearable sensors is creating very large data sets that may contain useful information. However, the ...
With the LEGO Group and Hasbro, we looked at the emotional experience of playing with games and LEGO bricks. We measured participants' sk...
We explore advanced machine learning and reflective user interfaces to scale the national Crisis Text Line. We are using state-of-the-art...
Stories, language, and art are at the heart StoryScape. While StoryScape began as a tool to meet the challenging language learning needs ...
The SNAPSHOT study seeks to measure Sleep, Networks, Affect, Performance, Stress, and Health using Objective Techniques. It is an NIH-fun...
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...
The scourge of cyberbullying has assumed worrisome proportions, with an ever-increasing number of adolescents admitting to having dealt w...
We are developing a mobile phone-based platform to assist people with chronic diseases, panic-anxiety disorders, or addictions. Making us...