[CFP] ECAI Workshop on Machine Learning for Interactive Systems (extended deadline, June 07)

[Heriberto Cuayahuitl]

ECAI Workshop on Machine Learning for Interactive Systems:
Bridging the Gap Between Language, Motor Control and Vision

Montpellier, France, 27-28th of August, 2012

Long papers should not exceed 6 pages and short papers should not
exceed 2
pages. They should follow the general ECAI submission guidelines.
http://www.sfbtr8.spatial-cognition.de/mlis-2012/Submission.html

To foster discussion, we also encourage submissions of position papers
addressing how to bridge the gap between language, motor control and
vision.

A special issue related to the topic of this workshop, with a
submission
deadline in autumn 2012, is planned for the ACM Transactions on
Interactive
Intelligent Systems (TiiS) journal (http://tiis.acm.org/).

Important Dates:
June 07, 2012: Extended paper submission deadline (23:59 CET)
July 07, 2012: Notification of acceptance
July 22, 2012: Camera-ready papers due
Aug. 27/28, 2012: MLIS Workshop

Interactive systems such as multimodal interfaces or robots must
perceive, act,
and interact in the environment where they are embedded. Naturally,
perception,
action and interaction are mutually related and affect each other.
This is
particularly the case in many hands-free and eyes-free mobile
applications of
interactive systems. Machine learning offers the attractive capability
of making
interactive systems more adaptive to the user and environment. For any
of
perception, action, and interaction we find a large number of
applications using
machine learning techniques. However, holistic approaches that tackle
these
fields in a unified way are still rare. The question of how to
integrate
language, motor control and vision in machine learning interfaces in
an
efficient and effective way has been a long standing problem and is
the main
topic of the workshop.

This workshop aims to bring people together interested in natural
language
processing, motor control and computer vision with a unified
perspective. This
invitation is particularly directed to people designing, building, and
evaluating Machine Learning Interactive Systems (MLIS) that interact
with their
environment, and particularly, the people within. Example research
questions to
address are the following: (a) how do MLIS integrate multimodal
perceptions for
action and interaction? (b) How do MLIS exhibit adaptive interactive
behaviour
given their perceptions? and (c) how do MLIS integrate verbal and non-
verbal
behaviour for effective interactions?

Topics include, but are not limited to the following:
- Reinforcement learning for interactive systems
- Supervised learning for interactive systems
- Unsupervised learning for interactive systems
- Hybrid machine learning for interactive systems
- Hierarchical Machine Learning for interactive systems
- Machine learning for multi-modal interactive systems
- Machine learning for multi-party interactive systems
- Machine learning for emotional interactive systems
- Machine learning for reasoning in interactive systems
- Machine learning for user modelling in interactive systems
- Machine learning for gesture-based interactive systems
- Machine learning for vision-based interactive systems
- Evaluations of machine learning interactive systems
- All topics related to machine learning for avatars and interactive
robots

Invited Speakers:
Jeremy Wyatt, University of Birmingham, UK
Oliver Lemon, Heriot-Watt University, Edinburgh, UK

Organizing Committee:
Heriberto Cuay=E1huitl, DFKI Saarbr=FCcken, Germany
Lutz Frommberger, University of Bremen, Germany
Nina Dethlefs, Heriot-Watt University, Edinburgh, UK
Hichem Sahli, Free University of Brussels, Belgium

Contact: hec...@dfki.de

************** comp.robotics.research (moderated) **************
Summary: Academic, government & industry research in robotics.
Charter and information: http://www.metamech.com/crr
Meta-discussions/information: crr-r...@metamech.com