[Colloq] REMINDER: Talk: Large-scale Emotion Measurement and Modeling | Dan McDuff | December 11, 2015 1pm-2pm 366WVH (TODAY)

[Walker, Lashauna]

Title: Large-scale Emotion Measurement and Modeling
Speaker: Dan McDuff
Date: December 11, 2015
Time: 1:00pm-2:00pm
Location: 366 WVH

Title: Large-scale Emotion Measurement and Modeling

Abstract:
Emotions play a huge role in our everyday lives. They influence memory, decision-making and well-being.  In order to advance the fundamental understanding of human emotions, build smarter affective technology, and ultimately help people, we need to perform research in-situ and with a representative population. To do this there are challenges that need to be overcome. We need: i) Data collection frameworks that use ubiquitous sensors to capture large-scale and longitudinal observations; ii) Measurement algorithms that can quantify physiology and behaviors robustly in-situ; iii) Deployment and evaluation of applications in the real-world. It is now possible to quantify emotional responses on a large scale using webcams and wearable devices in everyday environments. I will present insights from analysis from the world's largest dataset of naturalistic emotional responses (featuring examples from millions of individuals) and show examples of how this data has allowed us to corroborate and extend the understanding of nonverbal behavior, including modeling gender, age and cultural differences in facial expressiveness. Finally, I will discuss how this work will help us bring emotional intelligence to everyday digital devices and potentially track important health conditions.

Short bio:
Daniel McDuff is building and utilizing scalable computer vision and machine learning tools to enable the automated recognition and analysis of emotions and physiology. He is currently Director of Research at Affectiva, a post-doctoral research affiliate at the MIT Media Lab and a visiting scientist at Brigham and Women's Hospital.  At Affectiva Daniel is building state-of-the-art facial expression recognition software and leading analysis of the world's largest database of human emotion responses. Daniel completed his PhD in the Affective Computing Group at the MIT Media Lab in 2014 and has a B.A. and Masters from Cambridge University. His work has received nominations and awards from Popular Science magazine as one of the top inventions in 2011, South-by-South-West Interactive (SXSWi), The Webby Awards, ESOMAR, the Center for Integrated Medicine and Innovative Technology (CIMIT) and several IEEE conferences. His work has been reported in many publications including The Times, the New York Times, The Wall Street Journal, BBC News, New Scientist and Forbes magazine. Daniel has been named a 2015 WIRED Innovation Fellow.  He has received best paper awards at IEEE Face and Gesture and Body Sensor Networks. Two of his papers were recently recognized within the list of the most influential articles to appear in the Transactions on Affective Computing.


Thank You.

LaShauna Walker
Events and Administrative Specialist
College of Computer and Information Science
Northeastern University
617-373-2763
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