Research — MIT Media Lab

ambienBeat: Mobile tactile biofeedback for subliminal heart rate rhythmic regulation

We present a mobile heart rate regulator—ambienBeat—which provides closed-loop ambient biofeedback via subliminal tactile stimulus based ...

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AttentivU

AttentivU is a device, in the form factor of a pair of glasses, which senses brain activity (electroencephal...

Fluid Interfaces

Designing systems for cognitive enhancement

Affective Computing

Advance human wellbeing by developing new ways to communicate, understand, and respond to emotion

PAL: a wearable on-device deep learning platform for personalized, context-aware, and closed-loop real-time support

OverviewPAL is a wearable platform for personalized, context-aware, and always-present user change. PAL has mu...

Opera of the Future

Extending expression, learning, and health through innovations in musical composition, performance, and participation

Viral Communications

Creating scalable technologies that evolve with user inventiveness

Miniaturized Neural System for Chronic, Local Intracerebral Drug Delivery (MiNDS)

Recent advances in medications for neurodegenerative disorders are expanding opportunities for improving the debilitating symptoms suffer...

City Science

Looking beyond smart cities

Personal Robots

Building intelligent personified technologies that collaborate with people to help them learn, thrive, and flourish.

Agonist-antagonist Myoneural Interface (AMI)

Humans can accurately sense the position, speed, and torque of their limbs, even with their eyes shut. This sense, known as proprioceptio...

PlusMinus

A Robotic Positive Psychology Coach to Improve College Students’ Wellbeing

Jeong, Sooyeon, et al. "A Robotic Positive Psychology Coach to Improve College Students’ Wellbeing." Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication (Ro-Man 2020) **Best Paper Award**

Robotic Positive Psychology Coach for College Students

A significant number of college students suffer from mental health issues that impact their physical, social, and occu...

dementAI

dementAI is an open-source platform for modeling risk stratification of Alzheimer's dementia using spontaneous speech through ...

Multimodal Inductive Transfer Learning for Detection of Alzheimer's Dementia and its Severity

@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} }

Uncertainty-Aware Multi-Modal Ensembling for Severity Prediction of Alzheimer's Dementia

@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} }

Human Dynamics

Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion

Conformable Decoders

Converting the patterns of nature and the human body into beneficial signals and energy

FAQ: Could exposure to the common cold reduce the severity of Covid-19 infection?

Read the FAQ that accompanies the op-ed by Kevin Esvelt and Carolyn P. Neuhaus, which answers questions about the research they're proposing

Could exposure to the common cold reduce the severity of Covid-19 infection?

We don’t know, but the idea is hardly crazy—and if the answer is yes, we could save many lives long before a vaccine arrives

Personal Robots and Affective Computing team win Best Paper Award at IEEE RO-MAN 2020

For the paper: "A Robotic Positive Psychology Coach to Improve College Students’ Wellbeing"

parkinsAI

Appropriate and adaptive treatment plans are challenging in Parkinson’s disease for several reasons. parkinsAI models drug response...

Behavioral Indications of Depression Severity

In collaboration with Massachusetts General Hospital, we are conducting a clinical trial exploring objective methods for assessing depres...

Responsive Environments

Augmenting and mediating human experience, interaction, and perception with sensor networks

Sculpting Evolution

Cultivating wisdom through evolutionary and ecological engineering

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Scalable Cooperation

Reimagining human cooperation in the age of social media and artificial intelligence

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Identifying the human impacts of climate change

Climate change is going to alter the environments that we depend on in myriad ways. We're using data to identify and quantify these poten...

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Ishwarya Ananthabhotla and Jaya Narain among 2020 Apple Scholars in AI/ML

Each Scholar was chosen based on their innovative research and demonstrated leadership within their respective fields.

Essence

The sense of smell is perhaps the most pervasive of all senses, but it is also one of the least understood and least exploited in HCI. We...

Wearable and Biometric Olfactory Interfaces for Day and Night

Human-computer interaction (HCI) has traditionally focused on designing and investigating interfaces that provide explicit visual, audito...

Thesis Research

Prediction and Analysis of Degree of Suicidal Ideation in Online Content

Jones, Noah. Prediction and Analysis of Degree of Suicidal Ideation in Online Content. 2020. MIT, SM Thesis.

Open Ocean

Making Self-Care Fun

How MIT is leveraging game design principles to combat depression.

Thinking Cap

Peoples' mindsets, meaning their beliefs about their own intellectual abilities, affect their effort and thereby their performance on tas...

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LeakyPhones

LeakyPhones is a public/private headset that was designed to encourage face-to-face interactions, curiosity, and healthier ...

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Predicting students' wellbeing from physiology, phone, mobility, and behavioral data

The goal of this project is to apply machine learning methods to model the wellbeing of MIT undergraduate students. Extensive data is obt...

Thesis Research

Forecasting Mental Distress using Healthcare Claims Data

Taylor, Sara. Forecasting Mental Distress using Healthcare Claims Data. 2020. MIT, PhD dissertation.

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Open Agriculture (OpenAg)

Open Agriculture Initiative (OpenAg)

The Guardians

The Guardians Project aims to use the same game design principles used in mobile games to help people form beneficial long-term habits an...

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Personal Food Computer

The OpenAg™ Personal Food Computer is a tabletop-sized, controlled environment agriculture technology platform that uses robotic systems ...

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Lesson of a Pandemic for a Connected World

Let’s jumpstart a new infrastructure for industry, health, learning, and the people.

This MIT app makes self-care as addictive as a video game

Collect cute monsters and make your brain feel better.

Human Dynamics team tops Fragile Families Challenge

Media Lab researchers win three of six categories in inaugural contest.

BioEssence

A wearable olfactory display that monitors cardio-respiratory information with the aspiration to support mental wellbeing.BioEssence is a...

Probabilistic Latent Variable Modeling for Assessing Behavioral Influences on Well-Being

Nosakhare, E., Picard, R. W. Probabilistic Latent Variable Modeling for Assessing Behavioral Influences on Well-Being," ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’19), August 4–8, 2019, Anchorage, AK, USA. ACM, New York, NY, USA. https://doi.org/10.1145/3292500.3330738

Towards Assessing and Recommending Combinations of Behaviors for Improving Health and Well-Being

Nosakhare, E., and Picard. R. 2019. Toward Assessing and Recommending Combinations of Behaviors for Improving Health and Well-Being. ACM Trans. Comput. Healthcare 1, 1, Article 4 (December 2019), 29 pages.

Essence: Olfactory Interfaces for Unconscious Influence of Mood and Cognitive Performance

Judith Amores and Pattie Maes. 2017. Essence: Olfactory Interfaces for Unconscious Influence of Mood and Cognitive Performance. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '17). ACM, Denver, CO, USA. DOI: http://dx.doi.org/10.1145/3025453.3026004

BioEssence: A Wearable Olfactory Display that Monitors Cardio-Respiratory Information to Support Mental Wellbeing

Amores, J., Hernandez, J., Dementyev, A., Wang, X., Maes, P. "BioEssence: A Wearable Olfactory Display that Monitors Cardio-respiratory Information to Support Mental Wellbeing," Proceedings of the International Conference of IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, Hawaii, July 2018

Theme | Wearable Biotech Enhancement

Lab on Body, Synthetic Biology, and Bio-Digital Systems for Health and Human Enhancement

AttentivU: Towards Improved Wellbeing in the Car

Several research projects have recently explored the use of physiological sensors such as electroencephalography (EEG - brain activity) o...

Mice Against Ticks - Preventing tick-borne disease by permanently immunizing mice

Lyme disease is the most common vector-borne infection in North America. People are infected when bitten by ticks; ticks are typically in...

Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks

Umematsu, T., Sano, A., Taylor, S., and Picard, R. "Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks.", 2019 IEICE Society Conference, Japan, September 2019.

Archived

Deep Reinforcement Learning for Pain Management

Opioid therapy is the cornerstone of management of pain in the ICU. However, opioids present numerous side effects and are highly addicti...

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Ticks: They’re not just for hikers anymore

The menacing mites have invaded suburban backyards and even parts of Boston. And Lyme disease isn’t the only thing they carry.

A community-guided genome editing project can fight Lyme disease

Kevin Esvelt writes about the Sculpting Evolution group’s project to immunize mice against Lyme disease through gene editing.

Archived

Advancing Wellbeing

Opioid epidemic may have new nemesis in AI-based ‘deep reinforcement learning’

In the new study, PhD candidate Daniel Lopez-Martinez of MIT and colleagues used data from more than 40,000 hospitalizations

Decoding physical patterns of our bodies via conformable devices

In an interview with Medgadget, Canan Dagdeviren talks about the mission and ethos of Conformable Decoders

Using AI to manage opioid use in hospital ICUs

New Harvard-MIT deep reinforcement learning algorithm optimizes pain management.

J-WAFS announces seven new seed grants

Nine MIT principal investigators will receive grants totaling over $1 million for research focused on global food and water challenges.

Social Robots for Hospitalized Children

Logan, Deirdre, et al. "Social Robots for Hospitalized Children." Pediatrics 143.6 (2019).

Huggable: A social robot for pediatric care

The Huggable is a new type of robotic companion for health care, education, and social communication applications. The Huggable is much m...

RFID stickers could signal contaminated food

MIT researchers have found a way to check many items instantly, non-invasively, and from a distance—using the RFID tags.

Affective Computing researchers win Best Paper Award at IEEE BHI 2019

"Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks," by Terumi Umematsu, Akane Sano, Sara Taylor, an...