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Expressive Machinery: Building Co-Creative Systems for Humans and AI

November 4, 2021

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This talk will present ongoing research from the Expressive Machinery Lab at Georgia Tech on building interactive experiences that augment human creativity. It will examine how human processes like improvisation and participatory sensemaking can be used as lenses for better understanding human/computer collaborative creative interactions (i.e. co-creativity). Numerous examples from the speaker's work will be explored to illustrate co-creative experiences, such as an AI-enabled improvisational dance partner, cognitive studies of humans at play, and computational installations that engage the public in meaning making with technology.


Bio:
Dr. Brian Magerko is a Professor of Digital Media, Director of Graduate Studies in Digital Media, & head of the Expressive Machinery Lab at Georgia Tech. He received his B.S. in Cognitive Science from Carnegie Mellon (1999) and his MS and Ph.D. in Computer Science and Engineering from the University of Michigan (2001, 2006). His research explores how studying human and machine cognition can inform the creation of new human/computer creative experiences. Dr. Magerko has been research lead on over $15 million of federally-funded research; has authored over 100 peer reviewed articles related to computational media, cognition, and learning; has had his work shown at galleries and museums internationally; and co-founded a music-based learning environment for computer science - called EarSketch - that has been used by over 740K learners worldwide. Dr. Magerko and his work have been shown in the New Yorker, Washington Post, USA Today, CNN, Yahoo! Finance, NPR, and other global and regional outlets.

12:00 – 1:00pm AZ: Talk
1:00 – 1:30 pm AZ: Guided Q&A

Advance Zoom Registration Information:

https://asu.zoom.us/meeting/register/tZYtf-6gqTwqGdVrvMWEhipXjBkhjYJJM6RY

CHART
Human, AI and robot teaming
Human and social conditions