HCD 2010 - NIPS Workshop on Modeling Human Communication Dynamics

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Category HCD 2010

Deadline: October 18, 2010 | Date: December 10, 2010

Venue/Country: Whistler, Canada

Updated: 2010-10-08 09:49:41 (GMT+9)

Call For Papers - CFP

Friday, December 10th, 2010

Whistler, British Columbia, Canada

http://projects.ict.usc.edu/hcd2010/

Description

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 potential practical value, for applications

including

the understanding of communication problems such as autism

and the creation of socially aware 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

We 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 with incomplete or noisy labels

* Feature engineering

* Online learning and adaptation

* Models of moment-by-moment human interaction that can also work for

longer time scales

* Failures and problems observed when applying existing methods

* Insights from experimental or other studies of human communication

* Concrete applications

Invited speakers

* Janet Bavelas (University of Victoria)

* Marian Stewart Bartlett (University of California, San Diego)

* Jeff Bilmes (University of Washington)

* Dan Bohus (Microsoft Research)

* Justine Cassell (Carnegie Mellon University)

* Noah D. Goodman (Stanford University)

Submission guidelines

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

(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-ML

venues is especially encouraged. Please send your submission by email

to hcd2010ict.usc.edu by October 18th, 2010 at 11:59pm PDT.

Important dates

Submission deadline (extended): October 18th, 2010, 11:59pm PDT

Notification of acceptance: November 7th, 2010

Workshop: December 10th, 2010

Organizers

Louis-Philippe Morency, University of Southern California, USA

Daniel Gatica-Perez, Idiap Research Institute, Switzerland

Nigel Ward, University of Texas, El Paso, USA

Sponsored by the PASCAL 2 European Network of Excellence on

Pattern Analysis, Statistical Modeling, and Computational Learning