Prefab: What if anybody could modify any interface?
When: Monday, November 7, 2011 - 4:00pm - 4:50pm
Where: KEC 1001
Speaker Information
Speaker Name: James Fogarty
Speaker Title/Description:
Associate Professor
Computer Science and Engineering
University of Washington
Speaker Biography:
James Fogarty is an Associate Professor of Computer Science &
Engineering at the University of Washington. He is also a core
member of the DUB Group, the University of Washington's
cross-campus initiative advancing Human-Computer Interaction
and Design research and education. His broad research interests
are in Human-Computer Interaction, User Interface Software and
Technology, and Ubiquitous Computing. His focus is on new
methods and tools for building interactive software, including
the challenges of developing, deploying, and evaluating
intelligent technologies. He is co-chairing the CHI 2012
subcommittee for "Expanding Interaction through Technology,
Systems & Tools", and he has received Best Paper awards or
nominations at CHI 2010, UbiComp 2009, CHI 2009, and CHI 2005.
His research has been generously supported by the National
Science Foundation, FXPAL, Google, Intel, and Microsoft.
Widely-used interface toolkits currently stifle the progress and
impact of user interface research. Advances are limited by both the
rigidity of current interfaces and the fragmentation of applications
among many different underlying toolkits. Many promising innovations
therefore remain difficult or impossible to deploy.
Prefab examines pixels as a universal representation of the desktop.
By reverse engineering the pixel-level appearance of interface
elements, Prefab enables runtime interface modification without access
to source and without cooperation from the underlying application. I
will motivate this approach, present Prefab's pixel-based methods, and
show several examples of runtime interface enhancements. This will
include our implementation of the first general-purpose target-aware
pointing enhancement, an idea proposed more than 15 years ago that has
previously been considered impractical to actually deploy. I will
conclude by discussing the potential of this work for catalyzing
future interaction research and beginning to democratize our everyday
interfaces.
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