About the series
Abstract:
Affective computing was originally envisioned to make computers emotionally intelligent, e.g., recognizing if they've annoyed you, and responding in a way that doesn't escalate your frustration. Over the years we've created dozens of technologies in an effort to provide tools that comfortably and respectfully recognize and respond to human emotion - and some of them succeed. Successful affective technologies do not merely make machines intelligent, they also help people be smarter - especially for those of us who face challenges processing emotional information, whether because of having autism, having limited vision, or having other impediments to understanding emotion. Along the way I have encountered big surprises. I will share stories of things learned and will attempt some (risky) live demonstrations.
Bio:
Dr. Rosalind Picard is a Professor at the MIT Media Lab. She holds degrees in Electrical Engineering and Computer Science from Georgia Tech and MIT and is a fellow of the IEEE. She has authored or co-authored over 200 scientific articles in signal processing, computer vision, pattern recognition, machine learning, and affective computing. Dr. Picard wrote the book Affective Computing, which helped give rise to a field by that name.
Picard is also co-founder, chief scientist, and chairman of Affectiva, Inc., supported by an NSF SBIR, which has commercialized two of the technologies she will show.
To Join the Webinar:
The Webinar will be held from 10:00-11:00am EST on October 10, 2012 in Room 110.
To attend virtually, please register by October 9, 23:59 PDT at: https://mmancusa.webex.com/mmancusa/j.php?ED=191476197&RG=1&UID=0&RT=MiMxMQ%3D%3D
After your registration is accepted, you will get an email with a URL to join the meeting. Please be sure to join a few minutes before the start of the webinar. This system does not establish a voice connection on your computer; instead, your acceptance message will have a toll-free phone number that you will be prompted to call after joining. Please note that this registration is a manual process; therefore, do not expect an immediate acceptance. In the event the number of requests exceeds the capacity, some requests may have to be denied.
