Keynote Speakers
February 15th
Prof. Alex 'Sandy' Pentland (MIT Human Dynamics Lab)
Honest Signals: How social interactions shape human behavior
Abstract
How did humans coordinate before we had sophisticated language capabilities? Pre-linguistic social species coordinate by signaling, and in particular using 'honest signals' which actually cause changes in the listener. I will describe examples of human behaviors that are honest signals, and how they can be used to accurately predict the outcomes of interactions (negotiation, trust assessment, depression screening, etc.) and used to build interfaces that guide human-computer interactions. Similarly, interfaces that shape the patterns of signaling within groups allow us to strongly influence group interactions to achieve higher performance. These effects are particularly dramatic for geographically distributed teams. Finally, understanding these pre-linguistic patterns of signaling leads to very different ways of building incentives for change. In a recent trial we were able to use these techniques to reliably change behaviors within a population, achieving twice the efficiency of standard behavior change schemes.
Short Biography
Alex 'Sandy' Pentland directs MIT's Human Dynamics Laboratory and the MIT Media Lab Entrepreneurship Program, and advises the World Economic Forum, Nissan Motor Corporation, and a variety of start-up firms. He has previously helped create and direct MIT's Media Laboratory, the Media Lab Asia laboratories at the Indian Institutes of Technology, and Strong Hospital's Center for Future Health. Sandy is one of the world's most-cited computer scientists, and a pioneer in computational social science, organizational engineering, mobile computing, image understanding, and modern biometrics. His research has recently been featured in Nature, Science, Harvard Business Review, and the popular press. his most recent book is 'Honest Signals' published by MIT Press.
Alex 'Sandy' Pentland keynote slides
Accompanying material:
General: http://hd.media.mit.edu/ , http://hd.media.mit.edu/tech-reports/, http://idcubed.org/
Overall theory of human interaction and communication
http://hd.media.mit.edu/01.29.09_naturemag_secsig.pdf (nature)
http://web.media.mit.edu/~sandy/2010-05Pentland.pdf (american scientist)
Privacy and personal data ownership (from my work with World Econ. Forum)
http://hd.media.mit.edu/wef_globalit.pdf
http://www.weforum.org/reports/personal-data-emergence-new-asset-class
Mobile phone studies:
http://hd.media.mit.edu/newsweek2_03.09.09.pdf
http://hd.media.mit.edu/tech-reports/TR-677.pdf
Group and company interaction studies:
http://hd.media.mit.edu/tech-reports/TR-623.pdf
http://dl.acm.org/citation.cfm?id=1460636 (also TR-625)
February 16th
Christopher M. Bishop (Microsoft Research)
Machine Learning for Intelligent Interfaces
Abstract
In this talk we first examine the crucial role played by machine
learning in the Kinect 3D full-body motion sensor, which has recently
become the fastest-selling consumer electronics device in history. We
then explore developments in model-based machine learning, and argue
that this framework offers new opportunities for the development
sophisticated user interfaces. The talk will be illustrated with
tutorial examples, demonstrations, and real-world case studies.
Short Biography
Chris Bishop is a Distinguished Scientist at Microsoft Research
Cambridge, where he leads the Machine Learning and Perception group.
He is also Professor of Computer Science at the University of
Edinburgh, Vice President of the Royal Institution of Great Britain,
and a Fellow of Darwin College Cambridge. He is a Fellow of the Royal
Academy of Engineering, and a Fellow of the Royal Society of
Edinburgh. His research interests include probabilistic approaches to
machine learning, as well as their practical application. Chris is the
author of the leading textbook "Neural Networks for Pattern
Recognition" (Oxford University Press, 1995) which has over 15,000
citations, and which helped to bring statistical concepts into the
mainstream of the machine learning field. His latest textbook "Pattern
Recognition and Machine Learning" (Springer, 2006) has over 4,000
citations, and has been widely adopted. In 2008 he presented the 180th
series of annual Royal Institution Christmas Lectures, with the title
"Hi-tech Trek: the Quest for the Ultimate Computer", to a television
audience of close to 5 million.
Christopher Bishop keynote slides
February 17th
Takeo Igarashi (University of Tokyo)
http://www-ui.is.s.u-tokyo.ac.jp/~takeo
Design Everything by Yourself
~User interfaces for graphics, CAD modeling, and robots~
Abstract
I will introduce our research project (design interface project)
aiming at the development of various design tools for end-users. We
live in a mass-production society today and everyone buy and use same
things all over the world. This is cheap, but not necessarily ideal
for individual persons. We envision that computer tools that help
people to design things by themselves can enrich their lives. To that
end, we develop innovative interaction techniques for end users to (1)
create rich graphics such as three-dimensional models and animations
by simple sketching (2) design their own real-world, everyday objects
such as clothing and furniture with realtime physical simulation
integrated in a simple geometry editor, and (3) design the behavior of
their personal robots and give instructions to them to satisfy their
particular needs.
Short Biography
Takeo Igarashi is an associate professor at CS department, the
University of Tokyo. He received PhD from Dept of Information
Engineering, the University of Tokyo in 2000. His research interest is
in user interface in general and current focus is on interaction
techniques for 3D graphics. He is known as the inventor of
sketch-based modeling system called Teddy, and received The
Significant New Researcher Award at SIGGRAPH 2006. He is currently
leading a JST ERATO Igarashi Design Interface Project as a director.
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