Jennifer Healey

Senior Research Scientist

San Jose

Jennifer Healey has a long history of looking into how people interact with sensors and envisioning the new experiences that this enables.  She holds BS, MS and PhD degrees from MIT in EECS.  During here graduate studies at the Media Lab, she pioneered the field of “Affective Computing” with Rosalind Picard and developed the first wearable computer with physiological sensors and a video camera that allowed the wearer to track their daily activities and how record how they felt while doing them.  She worked at both IBM Zurich and IBM TJ Watson on AI for smart phones with a multi-modal user interface that allowed the user to switch from voice to visual (input and output) seamlessly.  She has been an Instructor in Translational Medicine at Harvard Medical School and Beth Israel Deaconess Medical Center, where she worked on new algorithms to predict cardiac health from mobile sensors.  She continued working in Digital Health at both HP and Intel where she helped develop the Shimmer sensing platform and the Intel Health Guide.  Her research at Intel extended to sensing people in cars and cooperative autonomous driving (see her TED talk).  She has also continued her work in Affective computing, developing a new software platform for cell phones which included onboard machine learning algorithms for recognizing stress from heart rate, activation from features of voice and privacy protected sentiment analysis of texts and emails (Best Demo at MobileHCI 2018).


Gaudí: Conversational Interactions with Deep Representations to Generate Image Collections

Bursztyn, V., Healey, J., Vinay, V. (Dec. 13, 2021)

NeurIPS 2021 Workshop on Machine Learning for Creativity and Design

Mitigating the Effects of Reading Interruptions by Providing Reviews and Previews

Srivastava, N., Jain, R., Healey, J., Bylinskii, Z., Dingler, T. (May. 8, 2021)

ACM CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI'EA)

Challenges in Recognizing Spontaneous and Intentionally Expressed Reactions to Positive and Negative Images

Healey, J., Wang, H., Chhaya, N. (Jun. 15, 2020)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops

Sense-able Lunch Recommendations

Gupta, I., Healey, J., Theocharous, G., Theocharous, G. (Oct. 1, 2019)

Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019, Taipei, Taiwan

Personalizing with Human Cognitive Biases

Theocharous, G., Healey, J., Mahadevan, S., Saad, M. (Jun. 9, 2019)

User Modeling and Adaptation conference - Theory Opinion and Reflection: UMAP 19 - TOR

The SKYNIVI Experience: Evoking Startle and Frustration in Dyads and Single Drivers

Alvarez, I., Healey, J., Lewis, E. (Jun. 9, 2019)

IEEE Intelligent Vehicles Symposium (IV 2019)

Scale-free adaptive planning for deterministic dynamics & discounted rewards

Bartlett, P., Gabillion, V., Healey, J., Valko, M., Healey, H. (Sep. 3, 2018)

Proceedings of the 2019 International Conference on Machine Learning (ICML 2019)