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"M. Ehsan Hoque" <[log in to unmask]>
Reply To:
M. Ehsan Hoque
Fri, 13 May 2011 16:18:58 -0400
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Machine Learning for Affective Computing (ACII Workshop)
Memphis, TN, USA, Sunday, October 9th, 2011
Submission Deadline: June 24th, 2011

Affective computing (AC) is a unique discipline which attempts to model
affect using one or multiple modalities by drawing on techniques from many
different fields. AC often deals with problems that are known to be very
complex and multi-dimensional, involving different kinds of data (numeric,
symbolic, visual etc.). However, with the advancement of machine learning
techniques, a lot of those problems are now becoming more tractable.

The purpose of this workshop is to engage the machine learning and affective
computing communities towards solving the problems related to understanding
and modeling social affective behaviors. We welcome the participation of
researchers from diverse fields, including signal processing and pattern
recognition, statistical machine learning, human-computer interaction,
human-robot interaction, robotics, conversational agents, experimental
psychology, and decision making.

There is a need for a set of high standards for recognizing and
understanding affect. At the same time, these standards need to take into
account that the expectations and validations in this area may be different
than in traditional research on machine learning. This should be reflected
in the design of machine learning techniques used to tackle these problems.
For example, affective data sets are known to be noisy, high dimensional,
and incomplete. Classes may overlap. Affective behaviors are often person
specific and require temporal modeling with real-time performance. This
first edition of the ACII Workshop on Machine Learning for Affective
Computing will be the perfect venue to invoke such discussions and engage
the community towards design and validation of learning techniques for
affective sensing.


We invite submissions of high-quality papers describing novel research on
machine learning applied to human affective computing and related topics.
Suitable themes include, but are not limited to:

* Automatic recognition of spontaneous affective states
* Multimodal integration of speech, facial expressions and body posture
* Audio-visual signal processing
* Context-based understanding of affective state
* Feature selection and engineering
* Online user adaptation and calibration
* Unsupervised analysis of affective behaviors
* Spontaneous datasets for affective learning
* Evaluation metrics for probabilistic modeling of affective states

The paper should not include work previously published elsewhere or under
review in other conferences/journals.

Program Committee (partial list):
Alessandro Vinciarelli (Glasgow)
Ashish Kapoor (Microsoft Research)
Athanassios (Nassos) Katsamanis (USC)
Carlos Busso (UT-Dallas)
Dan Bohus (Microsoft Research)
Fernando De la Torre (CMU)
Ginevra Castellano (Queen Mary University)
Jean-Claude Martin, (LIMSI-CNRS)
France Jeffrey Cohn (Pitt)
Jonathan Gratch (USC)
Julia Hirschberg (Columbia)
Magalie Ochs (Telecom Paris Tech)
Matthew Turk (UCSB)
Nicu Sebe (Trento)
Peter Robinson (Cambridge)
Rana el-Kaliouby (MIT)
Ross Beveridge (Colorado State)
Shri Narayanan (USC)
Tanzeem Chowdhury (Dartmouth)
Winslow Burleson (ASU)

Submission guidelines:

Papers will be published in the proceedings of ACII 2011 by Springer. Papers
should not exceed 10 pages and should be formatted to the Springer LNCS
formatting guidelines<>
Papers must be submitted as PDF through the EasyChair Conference system,
which can be accessed via the web at

Important dates:

Submission deadline: June 24th, 2011, 11:59pm PDT
Notification of acceptance: July 15th, 2011
Camera ready version due: July 25th, 2011
Workshop: October 9th, 2011

M. Ehsan Hoque (MIT)
Dan McDuff (MIT)
Louis Philippe Morency (USC)
Rosalind Picard (MIT)

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