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Human-Robot Trust

Unconventional mixing of research fields introduces a new method to study human behavior using social robots.

Archived

Artificial listener with social intelligence

A social robot modifies its behavior to change what you think about it!

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Research

Advancing Wellbeing

Rosalind Picard: Affective Computing, Emotion, Privacy, and Health | Artificial Intelligence Podcast

In an interview with MIT research scientist Lex Fridman, Rosalind Picard discusses affective computing, privacy, diversity in tech, and more

Post Research

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, and&…

Improving wellbeing prediction performance using temporal machine learning models

This project aims to improve the prediction accuracy of wellbeing (stress, mood, and health levels) using temporal machine learning models.…

Computing Careers: Advice from Rosalind Picard on succeeding in the fast-growing field of "affective computing"

Affective Computing head Rosalind Picard talks to IEEE Computer Society for their series on careers in computing.

Emotion AI, explained

Senior leaders should consider how emotion AI could change their industries and play a critical role in their firms.

Six MIT researchers elected to the National Academy of Engineering for 2019

Six MIT researchers are among the 86 new members and 18 foreign associates elected to the National Academy of Engineering.

Personalized Machine Learning for Robot Perception of Affect and Engagement in Autism Therapy

Rudovic, O., Lee, J., Dai, M., Schuller, B. , Picard, R. W., " Personalized machine learning for robot perception of affect and engagement in autism therapy," Science Robotics, June 2018.

Emotional Beasts: Visually Expressing Emotions through Avatars in VR

Bernal, Guillermo, and Pattie Maes. "Emotional Beasts: Visually Expressing Emotions through Avatars in VR." Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM, 2017.

Archived

Masque

When the body senses itself internally and localizes its actions, it provides the basis for a material sense of self-existence. At th…

Archived

Tech community wrestles over working with government

Hiawatha Bray reports on the unrest bubbling up in the tech industry.

Personalized “deep learning” equips robots for autism therapy

Machine learning network offers personalized estimates of children’s behavior.

Wearable ESM: Comparing the Wearable Experience Sampling Method across Wearable Devices

Hernandez, J., McDuff, D., Infante, C., Maes, P., Quigley, K., and Picard, R. W. "Wearable ESM: Comparing the Wearable Experience Sampling Method across Wearable Devices," In Proceedings of Mobile Human Computer Interaction, Florence, Italy, September 2016.

Can AI Learn to Understand Emotions?

Rana el Kaliouby is now helping AI understand human emotion. Rosalind Picard pioneered the field of affective computing.

Learning via social awareness: improving sketch representations with facial feedback

Jaques, N., Engel, J., Ha, D., Bertsch, F., Picard, R., and Eck, D. "Learning via social awareness: improving sketch representations with facial feedback." International Conference on Learning Representations (ICLR) Workshop, Vancouver, Canada, April 2018.

Realtime Detection of Social Cues

Realtime detection of social cues in children’s voicesIn everyday conversation, people use what are known as backchannels to signal to some…

Importance of Sleep Data in Predicting Next-Day Stress, Happiness, and Health in College Students

Taylor, S., Jaques, N., Nosakhare, E., Sano, A., Klerman, E., and Picard, R. "Importance of Sleep Data in Predicting Next-Day Stress, Happiness, and Health in College Students," Sleep2017, June 2017.

QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform

Taylor, S.*, Sano, A.*, Ferguson, C., Mohan, A., Picard, R. "QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform," Sensors, April 2018. (*equal contribution)

Skin conductance deconvolution for pain estimation

Lopez-Martinez, D., and Picard, R. "Skin conductance deconvolution for pain estimation". International Conference on Biomedical and Health Informatics (BHI), Las Vegas, USA, March 2018

Location Patterns from Phone Sensors May Help Predict Depressive Symptoms: A Longitudinal Pilot Study

Howe, E., Ghandeharioun, A., Pedrelli, P., Mischoulon, D., Picard, R., Fedor, S. "Location Patterns from Phone Sensors May Help Predict Depressive Symptoms: A Longitudinal Pilot Study," Association for Behavioral and Cognitive Therapies Annual Convention – Tech SIG, San Diego, CA, November 2017.

Findings from Modeling Peaks in Electrodermal Activity during Sleep as a Point Process

Taylor, S., Sano, A., and Picard, R. W. "Findings from Modeling Peaks in Electrodermal Activity during Sleep as a Point Process" 56th Annual Meeting of the Society for Psychophysiological Research, Minnesota, USA, September 2016.

Thesis Research

Characterizing Electrodermal Responses during Sleep in a 30-day Ambulatory Study

Taylor, S. "Characterizing Electrodermal Responses during Sleep in a 30-day Ambulatory Study", MIT Master's Thesis, September 2016.

Recognizing Academic Performance Sleep Quality Stress Level and Mental Health using Personality Traits Wearable Sensors and Mobile Phones

Sano, A., Phillips, A.J., Yu A.Z., McHill, A.W., Taylor, S., Jaques, N., Czeisler, C,A., Klerman, E.B., Picard. R.W., "Recognizing Academic Performance, Sleep Quality, Stress Level, and Mental Health using Personality Traits, Wearable Sensors and Mobile Phones," In the proceedings of Body Sensor Networks, Cambridge, USA, June 2015.

Prediction of Happy-Sad Mood from Daily Behaviors and Previous Sleep History

Sano, A., Yu A.Z., McHill, A.W., Phillips, A.J., Taylor, S., Jaques, N., Czeisler, C,A., Klerman, E.B., Picard. R.W. "Prediction of Happy-Sad Mood from Daily Behaviors and Previous Sleep History" In Proc. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy, August 2015

Predicting students' happiness from physiology phone mobility and behavioral data

Jaques, N., Taylor, S., Azaria, A., Ghandeharioun, A., Sano, A., and Picard, R. "Predicting students' happiness from physiology, phone, mobility, and behavioral data" In Proc. Affective Computing and Intelligent Interaction (ACII), Xi'an, China, September 2015.

Structure of Electrodermal Responses during Sleep

Taylor, S., Sano, A., and Picard, R. "Structure of Electrodermal Responses during Sleep," Sleep2017, June 2017.

Influence of Weekly Sleep Regularity on Self-Reported Wellbeing

Sano A, Phillips AJ, McHill AW, Taylor S, Barger LK, Czeisler CA, Picard RW. "Influence of Weekly Sleep Regularity on Self-Reported Wellbeing," Sleep2017, June 2017.

Integrating EMA, clinical assessment and wearable sensors to examine the association between MDD and alcohol use

Pedrelli, P., Howe, E., Mischoulon, D., Picard, R., Ghandeharioun, A., Fedor, S."Integrating EMA, clinical assessment and wearable sensors to examine the association between MDD and alcohol use," Connected Health Conference, Boston, MA, October 2017.

Objective assessment of depressive symptoms with machine learning and wearable sensors data

Ghandeharioun, A., Fedor, S., Sangermano, L., Ionescu, D., Alpert, J., Dale, C., Sontag, D., Picard, R. "Objective assessment of depressive symptoms with machine learning and wearable sensors data," International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, Texas, October 2017.

BrightBeat: Effortlessly Influencing Breathing for Cultivating Calmness and Focus

Ghandeharioun, A., Picard, R."BrightBeat: Effortlessly Influencing Breathing for Cultivating Calmness and Focus," Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM, Denver, May 2017.

Thesis Research

BrightBeat: Effortlessly Influencing Breathing for Cultivating Calmness and Focus

Ghandeharioun, A. "BrightBeat: Effortlessly Influencing Breathing for Cultivating Calmness and Focus", MIT Master's Thesis, September 2016.

Objective vs. Subjective Reports of Sleep Quality in Major Depressive Disorder: A Pilot Study

Ghandeharioun, A., Sangermano, L., Picard, R., Alpert, J., Dale, C., Ionescu, D., Fedor, S. "Objective vs. Subjective Reports of Sleep Quality in Major Depressive Disorder: A Pilot Study," Anxiety and Depression Conference (ADAA), San Fransisco, April 2017.

Location Variability from Commodity Phone Sensors Is Negatively Associated with Self-Reported Depression Score: A Pilot Study

Ghandeharioun, A., Fedor, S., Sangermano, L., Alpert, J., Dale, C., Ionescu, D., Picard, R. "Location Variability from Commodity Phone Sensors Is Negatively Associated with Self-Reported Depression Score: A Pilot Study," Association for Psychological Science (APS) annual convention, Boston, May 2017.

Incoming Cell Phone Data as a Potential Predictor of Depression Severity: A Pilot Study

Sangermano, L., Ghandeharioun, A., Picard, R., Alpert, J., Dale, C., Fedor, S., Ionescu, D. "Incoming Cell Phone Data as a Potential Predictor of Depression Severity: A Pilot Study," Anxiety and Depression Conference (ADAA), San Fransisco, April 2017.