CS Seminar

Title: Detecting human behavior from longitudinal data streams
Seminar: Computer Science
Speaker: Afsaneh Doryab, PhD, Carnegie Mellon University
Contact: Vaidy Sunderam, vss@emory.edu
Date: 2019-03-04 at 10:00AM
Venue: Planetarium - E300 MSC
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Abstract:
Humans today interact frequently and intensively with a wide range of computing devices. These interactions generate data streams that often offer clues as to their physical and mental states. Analyzing and interpreting these data streams helps intelligent systems to adapt and act according to users’ needs and to provide personalized services and interventions. This capability, however, introduces new technical and social challenges to be addressed. In this talk, I will describe methods to computationally model human behavior from diverse data streams to assess the state of individuals' health and wellbeing. Through a series of systems I have built, I will also describe how models of human behavior can contribute to the seamless integration of technology into people’s lives and to connect community members for opportunistic social and economic exchange.

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