Screen:

Paul Aoki, Palo Alto Research Center
Palo Alto, California
www2.parc.com/csl/members/aoki

Paul Dourish, University of California at Irvine
Irvine, California
www.ics.uci.edu/~jpd

Scott Hudson, Carnegie Mellon University
Pittsburgh, Pennsylvania
www.cs.cmu.edu/~hudson

James Landay, University of California at Berkeley
Berkeley, California
www.cs.berkeley.edu/~landay

Brad A. Myers, Carnegie Mellon University
Pittsburgh, Pennsylvania
www.cs.cmu.edu/~bam

Terry Winograd, Stanford University
Stanford, California
hci.stanford.edu/~winograd

Speech:

Julia Hirschberg, Columbia University
New York, New York
www1.cs.columbia.edu/~julia

Elizabeth Shriberg, SRI International
Menlo Park, California
www-speech.sri.com/people/ees

Victor Zue, Massachusetts Institute of Technology
Cambridge, Massachusetts
www.sls.lcs.mit.edu/zue/zue.html




Alex Waibel, Carnegie Mellon University
Pittsburgh, Pennsylvania
www-2.cs.cmu.edu/afs/cs.cmu.edu/user/ahw/www/

Gesture/Multimodal:

Gregory Abowd, Georgia Institute of Technology
Atlanta, Georgia
www.cc.gatech.edu/fac/Gregory.Abowd

Justine Cassell, Massachusetts Institute of Technology
Cambridge, Massachusetts
web.media.mit.edu/~justine

Joe Paradiso, Massachusetts Institute of Technology
Cambridge, Massachusetts
web.media.mit.edu/~joep

Rajeev Sharma, Pennsylvania State University
University Park, Pennsylvania
www.cse.psu.edu/~rsharma

Mandayam A. Srinivasan, Massachusetts Institute of Technology
Cambridge, Massachusetts
rleweb.mit.edu/rlestaff/p-srin.htm

Matthew Turk, University of California at Santa Barbara
Santa Barbara, California
www.cs.ucsb.edu/~mturk

Neural:

Peter Fromherz, Max Planck Institute for Biochemistry
Martinsried, Germany
www.biochem.mpg.de/mnphys

Miguel Nicolelis, Duke University
Durham, North Carolina
www.neuro.duke.edu/Faculty/Nicolelis.htm


What to Look For

Existing input devices:

Low-cost and more accurate gaze tracking system
Low-cost and more accurate gesture recognition system
Low-cost and more accurate object recognition system

Combined Input:

Fully integrated speech, gesture and object recognition

Interfaces that tap human subtleties:

Speech recognition software that uses prosody
Systems that recognizes conversational gestures
Systems that recognizes basic emotions

Direct connections:

A monkey using a brain implant to consciously control a robot arm
A brain implant connected to thousands of neurons
A brain implant that restores paralyzed limb control