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asl
Building intelligent personified technologies that collaborate with people to help them learn, thrive, and flourish.
Creating human-AI symbiosis across scales and sensory mediums to enhance productivity, creativity, and wellbeing
Advancing human wellbeing by developing new ways to communicate, understand, and respond to emotion
A wearable olfactory display that monitors cardio-respiratory information with the aspiration to support mental wellbeing.BioEssence is a w…
Invent new tangible and embodied interactions that inspire and engage people
Over 600,000 youth in the United States experience abuse or neglect each year. Youth who are deemed to be at risk of significant harm in th…
Animations designed with the help of a pre-engineered GPT are coded further by the AI to connect with a wearable sensor. The r…
The relationship between breathing and self-reported stress is bidirectional. Respiration pattern is an indicator of stress, but it can als…
In this project we explore how to recognize and localize affect in images.
Before automobiles were invented and widely adopted, animals like horses were the most common mode of transportation. While this change bro…
We introduce–aSpire–a clippable, mobile pneumatic-haptic device designed to help users regulate their breathing rate via subtle tactile fee…
Extending expression, learning, and health through innovations in musical composition, performance, and participation
Designing Systems for Cognitive Augmentation
Su, D., Picard, R., Liu, Y. "AMAI: Adaptive Music for Affect Improvement." Proceedings of the 44th International Computer Music Conference (ICMC), Daegu, Korea, August 2018.
Life with AI | Designing the future of smart systems to improve the human experience
Cultivating Creativity | Catalyzing a global movement enabling everyone to unlock and unleash their individual and collective creativity
Connected Mind + Body | Revolutionizing the future of mental and physical wellbeing
This project is supported by the Abdul Latif Jameel Clinic for Machine Learning in Health (J-Clinic), the National Institutes of Healt…
This project examines how the expression granted by new musical interfaces can be harnessed to create positive changes in health and wellbe…
Responsible AI for Social Empowerment and Education: promoting equity in learning, education, + computational action to prepare diverse K-12
Organology: Real-Time Biometrics x Sound Synthesis October 19th @ 8:00 PMMIT Media Lab 3rd Floor AtriumWhat role does the body pl…
This research shows how AI can support LGBTQIA+ advocacy, how technology might help create a more accepting + understanding society.
AbstractDespite significant historical progress, discrimination and social stigma continue to impact the lives of LGBTQIA+ individuals. The…
Professor Rosalind Picard talks about what gave her the inspiration to found a new field, Affective Computing.
The SNAPSHOT study seeks to measure Sleep, Networks, Affect, Performance, Stress, and Health using Objective Techniques. It is an NIH-funde…
“Us” aims to help people develop their sense of empathy. It uses machine learning to analyze interlocutors’ signals (e.g., choice of words,…
Human-computer interaction (HCI) has traditionally focused on designing and investigating interfaces that provide explicit visual, auditory…
MACH, My Automated Conversation coacH, is a system for people to practice social interactions in face-to-face scenarios. MACH consists of a…
Teddy is a cutting edge data collection platform available for both Android and iOS that lets you collect data from study participants in a…
Artificial intelligence can make adults nervous, but experts say exploring it as a family is the best way to understand its pros and cons.
Craig Ferguson discusses Paradise Island, Affective Computing's new game for mental health.
The goal of this project is to develop techniques to remove identifying information from wearable and phone data to protect patients’ priva…
Adaptive Music for Affect Improvement (AMAI) is a music generation and playback system with the goal of steering the listener toward a stat…
With advances in virtual reality (VR) and physiological sensing technology, even more immersive computer-mediated communication through lif…
Automatic emotion recognition has become a well-established machine learning task in recent years. The sensitive and subjective nature of e…
The Project on Affinities and Language (PAL) is designed to help us understand what happens in a child’s brain when they engage with their …
In the quest towards general artificial intelligence (AI), researchers have explored developing loss functions that act as intrinsic motiva…
Excessive stress can decrease office workers' productivity and negatively impact overall health. This project aims to predict office worker…
Can we sonfiy calming breathing and passively influence a state of calm?Deep breathing has been scientifically proven to affect the heart, …
The view on Alzheimer’s Disease (AD) diagnosis has shifted towards a more dynamic process in which clinical and pathological markers evolv…
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 with…
Storytelling is a fundamental way in which human beings understand the world. Imagine watching a movie telling the story of your life, how …
Pain is a subjective experience commonly measured through patients' self reports. Unfortunately, self-report measures only work when t…
In collaboration with Massachusetts General Hospital, we are conducting a clinical trial exploring objective methods for assessing depressi…
EngageME: Personalized machine learning and humanoid robots for measuring affect and engagement of children with autismEngageME is a projec…
We are conducting EEG studies to identify the musical features and musical interaction patterns that universally impact measures of arousal…
SPRING is a custom-built hardware and software platform for children with neuro-differences. The system automates data acquisition, optimiz…
The goal of this project is to apply machine learning methods to model the wellbeing of MIT undergraduate students. Extensive data is obtai…
Social robotics pioneer Prof. Cynthia Breazeal discusses artificial intelligence in our lives, digital citizenship, and AI education for all
Fellowship program honors ACM members whose specific accomplishments drive innovation and make broader advances possible.
MIT scientist Rosalind Picard collaborates with clinicians to develop tools for mental health care delivery.
Taylor, S.*, Jaques, N.*, Nosakhare, E., Sano, A. and Picard, R., "Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health," in IEEE Transactions on Affective Computing, vol. PP, no. 99, pp. 1-1. doi: 10.1109/TAFFC.2017.2784832 *Both authors contributed equally. WINNER: BEST OF COLLECTION
Rosalind Picard presents some principles that engineers and computer scientists can use to create meaningful, authentic human relationships.
Unlike traditional randomized controlled trials that generalize relationships in large groups of people, single-case experiments seek to qu…
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 o…
John Ellis talks to Affective Computing head Rosalind Picard about making AI and computers more emotionally intelligent.
This project was selected to represent MIT at the Microsoft Design Expo 2020 on ‘Healthier Futures.’ iNonymizeA tele-mental health pla…
dementAI is an open-source platform for modeling risk stratification of Alzheimer's dementia using spontaneous speech through a …
@article{sarawgi2020multimodal, title={Multimodal Inductive Transfer Learning for Detection of Alzheimer's Dementia and its Severity}, author={Sarawgi, Utkarsh and Zulfikar, Wazeer and Soliman, Nouran and Maes, Pattie}, journal={arXiv preprint arXiv:2009.00700}, year={2020} }
@misc{sarawgi2020uncertaintyaware, title={Uncertainty-Aware Multi-Modal Ensembling for Severity Prediction of Alzheimer's Dementia}, author={Utkarsh Sarawgi and Wazeer Zulfikar and Rishab Khincha and Pattie Maes}, year={2020}, eprint={2010.01440}, archivePrefix={arXiv}, primaryClass={cs.LG} }
Using personalized, naturalistic experiments, the Gabrieli lab is pioneering new approaches to neurodevelopmental differences.
An affective robotic ring which allows users to interact with multiple robots using finger gestures.- Runs on Robotic Operating System (ROS…
Ghandeharioun, A., Eoff, B., Jou, B., & Picard, R. W. (2019). Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias. arXiv preprint arXiv:1909.09285.
The Jibo Research Platform is an in-the-field deployable Social Robotics experimentation and data collection infrastructure. Built upon the…
Machine learning model outperforms human judgementOur computational trust model is capable of predicting—above human accuracy—the degree of…
Emotion recognition modeled as a goal-directed process!
Unconventional mixing of research fields introduces a new method to study human behavior using social robots.
A social robot modifies its behavior to change what you think about it!