Modeling Human Communication Dynamics
NIPS Workshop, Whistler, British Columbia, Canada
Friday, December 10th, 2010
http://projects.ict.usc.edu/hcd2010/
Submission Deadline: October 15th, 2010
Face-to-face communication is a highly interactive process in which the participants mutually exchange and
interpret verbal and nonverbal messages. Both the interpersonal dynamics and the dynamic interactions among
an individual's perceptual, cognitive, and motor processes are swift and complex. How people accomplish these
feats of coordination is a question of great scientific interest. Models of human communication dynamics also
have much potential practical value, for applications including the understanding of communications problems
such as autism and the creation of socially intelligent robots able to recognize, predict, and analyze verbal
and nonverbal behaviors in real-time interaction with humans.
Modeling human communicative dynamics brings exciting new problems and challenges to the NIPS community.
The first goal of this workshop is to raise awareness in the machine learning community of these problems,
including some applications needs, the special properties of these input streams, and the modeling challenges.
The second goal is to exchange information about methods, techniques, and algorithms suitable for modeling
human communication dynamics. After the workshop, depending on interest, we may arrange to publish full-paper
versions of selected submissions, possibly as a volume in the JMLR Workshop and Conference papers series.
Topics:
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We therefore invite submissions of short high-quality papers describing research on Human Communication
Dynamics and related topics. Suitable themes include, but are not limited to:
* modeling methods robust to semi-synchronized streams (gestural, lexical, prosodic, etc.)
* learning methods robust to the highly variable response lags seen in human interaction
* coupled models for the explicit simultaneous modeling of more than one participant
* ways to combine symbolic (lexical) and non-symbolic information
* learning of models that are valuable for both behavior recognition and behavior synthesis
* algorithms robust to training data whose labeling is incomplete or noisy
* feature engineering
* online learning and adaptation
* models of moment-by-moment human interaction that can also work for longer time scales
* specific applications and potential applications
* failures and problems observed when applying existing methods to such tasks
* insights from experimental or other studies of human communication behavior
Invited speakers (partial list):
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* Jeff Bilmes (University of Washington)
* Dan Bohus (Microsoft Research)
* Marian Stewart Bartlett (University of California, San Diego)
Submission guidelines:
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Submissions should be written as extended abstracts, no longer than 4 pages in the NIPS latex style. NIPS style files
and formatting instructions can be found at http://nips.cc/PaperInformation/StyleFiles (although we will not enforce
the double blind rule). Work that was recently published or presented elsewhere is allowed, provided that the
extended abstract mentions this explicitly; work earlier presented at non-machine-learning venues is especially
encouraged. Please send your submission by email to hcd2010@ict.usc.edu before October 15th, 2010
at 11:59pm PDT.
Important dates:
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Submission deadline: October 15th, 2010, 11:59pm PDT
Notification of acceptance: November 7th, 2010
Workshop: December 10th, 2010
Organizers:
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Louis-Philippe Morency (University of Southern California)
Daniel Gatica-Perez (IDIAP)
Nigel Ward (UTEP)
Nigel Ward Associate Professor of Computer Science
University of Texas at El Paso, 500 W. University Ave. 79902 USA
+1 915-747-6827 fax +1 915-747-5030
nigel@utep.edu http://www.cs.utep.edu/nigel/
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