Human-Robot Interaction: From laboratory experiments to useful long-term interaction

Speaker:	Cory D. Kidd
		MIT Media Laboratory

Title:		"Human-Robot Interaction: From laboratory
		 experiments to useful long-term interaction"

Date:		Friday, 29 September 2006

Time:		2:30pm - 3:30pm

Venue:		Room 3315 (via lift nos. 17/18)
		HKUST

ABSTRACT:

In this talk I will present my work in understanding and building
long-term systems for human-robot interaction (HRI).  I will give a short
introduction to the work of the Robotic Life Group at the MIT Media Lab
over the last five years as motivation.  I will then present a series of
studies that I have conducted over the last five years and explain how the
results of this work contributes to the field of HRI. Finally, I will
focus on current work in developing and understanding the field of
long-term HRI.  I will describe my project that is developing a sociable
robot system for people who are trying to lose weight and explain the
importance of creating real-world applications to advance the science of
HRI.


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Biography:

Cory D. Kidd is currently studying human-robot interaction at the MIT
Media Lab. He is a fifth-year graduate student planning to finish his
Ph.D. in early 2007. He holds an MS in Media Arts and Sciences from the
MIT Media Lab and a BS in Computer Science from the Georgia Institute of
Technology.

His current research interests are in applying sociable robotics to health
care applications and as interfaces to ubiquitous computing systems.
During the last 4 years, Cory has run experiments using 6 different robots
to explore various aspects of human-robot interaction. From this, he has
learned how to create successful interactions between people and robots
and about how people perceive robots.

Prior to coming to MIT, he was a Research Faculty member in the College of
Computing at Georgia Tech after finishing a bachelor's degree there. His
research was in ubiquitous computing, where he worked on the Aware Home
Research Initiative, a research project exploring applications in an
intelligent home environment. Much of the work focused on finding ways to
allow an elderly person to live in their own home longer rather than
moving into an assisted living facility.