Tracking behavioral symptoms of mental illness and delivering personalized interventions using smartphones and wearables

Tanzeem Choudhury, Cornell University
Host: Greg Hager

Mobile and ubiquitous computing research has led to new techniques for cheaply, accurately, and continuously collecting data on human behavior that include detailed measurements of physical activities, social interactions and conversations, as well sleep quality and duration. Continuous and unobtrusive sensing of behaviors has tremendous potential to support the lifelong management of mental illnesses by: (1) acting as an early warning system to detect changes in mental well-being, (2) delivering context-aware, personalized micro-interventions to patients when and where they need them, and (3) by significantly accelerating patient understanding of their illness. In this presentation, I will give an overview of our work on turning sensor-enabled mobile devices into well-being monitors and instruments for administering real-time/real-place interventions.

Speaker Biography

Tanzeem Choudhury is an associate professor in Computing and Information Sciences at Cornell University. She directs the People-Aware Computing group, which works on inventing the future of technology-assisted wellbeing. Tanzeem received her PhD from the Media Laboratory at MIT and BS in Electrical Engineering from University of Rochester. Tanzeem was awarded the MIT Technology Review TR35 award, NSF CAREER award and a TED Fellowship. For more information visit: http://pac.cs.cornell.edu and follow the group’s work on twitter @pac_cornell