Professor Gregory D. Abowd , Georgia Institute of Technology

Title: Computing and Autism: How a real problem drives multimodal activity recognition research

Date: Tuesday, April 23, 2013

Abstract: Since 2002, I have targeted much of my research to challenges relating to autism. While this started and is continually fueled by a very personal motivation, I have been struck by how many interesting computing problems have surfaced in the context of trying to solve a real problem relating to autism. In this talk, I will give an overview of a variety of problem-driven challenges I and my collaborators have addressed and how in many cases the problem has opened up a rich computing problem to explore.

Bio: Gregory Abowd is a Regents' and Distinguished Professor in the School of Interactive Computing at the Georgia Institute of Technology. Dr. Abowd leads a research group interested in human-centered applications of mobile and ubiquitous computing technologies, with an emphasis on home and health. He established the Aware Home Research Initiative at Georgia Tech in the late 1990's and has also researched applications of technology in the classroom. He was a leader in establishing the importance of computing technology to address a variety of challenges linked to autism, and has published widely on this topic and assisted in the development of commercial solutions. In 2008, he established the Atlanta Autism Consortium to create a stronger community of researchers, educators, clinicians and advocates linked to autism. He is an elected member of the ACM SIGCHI Academy and is an ACM Fellow. In 2009, he was awarded the ACM Eugene Lawler Humanitarian Award for his research efforts.

Professor Judee K. Burgoon , the University of Arizona

Title: What the Lips Conceal, the Face, Head and Hands Reveal: Detecting Deception from Automated Analysis of Kinesics

Date: Wednesday, April 24, 2013

Abstract: The face, eyes, head and hands are rich sites of information about a communicator’s veracity. Some indicators are inadvertent signs; others are strategic and intentional; and yet others are the product of the dyadic interaction between two communicators. In this presentation, I review which kinesic indicators (those shown in body movement) should be reliable, detectable and trackable and briefly summarize the theory that governs their emergence. I then demonstrate the methods we have been using for automating the detection of these behaviors and present classification results from several investigations showing the ability to discriminate deceivers, cheaters and criminals from truthful, noncheating and innocent individuals. Select videos will illustrate relevant indicators under truthful and nontruthful conditions.

Bio: Judee K. Burgoon is Professor of Communication, Family Studies and Human Development at the University of Arizona, where she serves as Director of Research for the Center for the Management of Information and Site Director for the NSF-sponsored Center for Identification Technology Research. Burgoon earned a joint doctorate degree in communication and educational psychology, has served on the faculties of the University of Florida, Michigan State University, and University of Arizona, and was Vice President for Media Research at Louis Harris and Associates, New York City. She has authored or edited 13 books and monographs and nearly 300 published articles, chapters and reviews related to nonverbal and verbal communication, deception, and computer-mediated communication. Her research has been funded by the National Science Foundation, Department of Defense, Department of Homeland Security, and the Office of the Director of National Intelligence, among others. Her awards and honors include, from the International Communication Association, the Steven Chaffee Career Productivity Award, Robert Kibler Mentorship Award, and election as Fellow; from the National Communication Association, the Distinguished Scholar Award for a lifetime of scholarly achievement, the Mark L. Knapp Award in Interpersonal Communication and the Woolbert Research Award for Scholarship of Lasting Impact. A recent survey identified her as the most prolific female scholar in communication in the 20th century.

Professor Jessica K. Hodgins , Carnegie Mellon University

Title: Comparing Advances in Facial and Whole Body Animation

Date: Thursday, April 25, 2013

Abstract: Over the past twenty years, the field of computer animation has made significant progress in recording, modeling and synthesizing accurate, natural and believable animations for both human faces and whole body motion. Through this development process and the perceptual experiments that have validated the work, we have begun to build an understanding of what is required to make animated characters appear natural and lifelike. In this talk, I will review some of our recent work in both facial animation and whole body animation and reflect on the commonalities and differences in the two areas of research.

Bio: Jessica Hodgins is a Professor in the Robotics Institute and Computer Science Department at Carnegie Mellon University and Director of Disney Research, Pittsburgh. Prior to moving to Carnegie Mellon in 2000, she was an Associate Professor and Assistant Dean in the College of Computing at Georgia Institute of Technology. She received her Ph.D. in Computer Science from Carnegie Mellon University in 1989. Her research focuses on computer graphics, animation, and robotics with an emphasis on generating and analyzing human motion. She has received a NSF Young Investigator Award, a Packard Fellowship, and a Sloan Fellowship. She was editor-in-chief of ACM Transactions on Graphics from 2000-2002 and ACM SIGGRAPH Papers Chair in 2003. In 2010, she was awarded the ACM SIGGRAPH Computer Graphics Achievement Award.