ABSTRACT:

Over the past 20 years, a lot of effort has gone into making the vision
of ubiquitous computing a reality. A major focus of this effort has
been on the understanding of human activity as input to supporting
applications. However, it is only recently that we have developed both
the ability to sense human activity and model it for appropriate use in
these applications. Now that we can build interesting and useful
applications, we also need to focus on making these applications usable
by end-users. In this talk, Anind K. Dey will describe his work in sensing and
modeling human activity and preferences in a variety of domains
including office work, driving, and health. Dey will also describe work
on making complex modeling systems intelligible to end-users who need
to form reasonable mental models of these systems in order to use them.
Work in both of these areas is essential for building useful and usable
ubicomp applications.

BIO:

Anind K. Dey is an Assistant Professor in the Human-Computer
Interaction (HCI) Institute at Carnegie Mellon University.  He received
his Ph.D. in Computer Science from Georgia Tech in 2000, and was a
Senior Researcher for Intel Research Berkeley and an Adjunct Assistant
Professor at UC Berkeley from 2001 to 2004. His main research focus
lies at the intersection of HCI and ubiquitous computing. Specifically
he performs research in context-aware computing and sensor-based
interactions. He has conducted research in building context-aware
infrastructures (including the Context Toolkit), models for
context-aware systems, applications of context-aware applications and
definitions for context-aware systems. Recently his interests have
focused on how to make context-aware systems usable and adoptable by
end-users.

For more information, see http://www.cs.cmu.edu/~anind/.