Call: First International Workshop on ENgagement in HumaN Computer IntEraction (ENHANCE 2015)

Call for Papers

The First International Workshop on ENgagement in HumaN Computer IntEraction (ENHANCE 2015)
http://enhance2015.isir.upmc.fr/

@ the 6th Affective Computing and Intelligent Interaction (ACII 2015)
http://www.acii2015.org/index.html

SCOPE

Research in the field of Human-Computer Interaction is taking an ascending curve in the conception of machines, like robots or virtual agents, endowed with social and emotional intelligence. Conceiving social robots or agents means that they should be able to interact naturally with humans. Thus, they should be equipped with capabilities that enable them to understand the user’s actions, behaviours, and mental and emotional states just like a human naturally does. Engagement is an important aspect to be considered in the design of such machines. However, despite the growing number of papers on it, rigorous definitions of engagement compatible with computational models are still needed.

The ENHANCE workshop focuses on engagement modeling and recognition. It will cover theory, computational models, algorithms and techniques for the automatic analysis of engagement in human-human and human-machine in dyadic and multiparty interaction scenarios. This workshop addresses, for example, the following research questions: How to establish a generally accepted definition of engagement? How to take into account context in engagement models? How to engage more than one user at a time? What are the minimal sets of non-verbal features that are needed to perform an accurate recognition of engagement? How to establish a general model of engagement that takes into account all the components of engagement?

LIST OF TOPICS

We encourage papers and demos addressing, but not limited to, the following research topics:

  • Theoretical approaches to engagement in human machine interaction
  • Analysis of non-verbal behaviour relevant to engagement recognition
  • Analysis of physiological signals for engagement recognition
  • Audio/visual/physiological fusion for engagement recognition
  • Engagement modelling in multi-party interactions
  • Context-aware engagement recognition systems

SUBMISSIONS AND REVISIONS

Submissions should follow the IEEE conference paper format.

Submissions should include: title, author(s), affiliation(s), e-mail address(es), tel/fax number(s), and postal address(es).

The papers have to be submitted at the following link: http://easychair.org/conferences/?conf=enhance2015

Both accepted papers and demos will be presented at the workshop as oral presentation or in a demo session. All the accepted papers will be published as part of the main ACII 2015 conference proceedings. Authors of accepted contributions will be required to submit a camera ready version. At least one author for each accepted paper or demo is required to attend the workshop to present the work.

All the contributions will be subject to a peer-review by at least three reviewers from the Program Committee.

DEADLINES

June 10 2015, Submission deadline

July 10 2015, Notification of acceptance

July 22, 2015 Camera ready version due to electronic form

September 21, 2015 ENHANCE Workshop

ORGANIZATION

Mohamed Chetouani,
Institute for Intelligent Systems and Robotics,
University Pierre and Marie Curie, Paris, France
(mohamed.chetouani at upmc.fr)

Hanan Salam,
Institute for Intelligent Systems and Robotics,
University Pierre and Marie Curie, Paris, France
(salam at isir.umpc.fr)

Giovanna Varni,
Institute for Intelligent Systems and Robotics,
University Pierre and Marie Curie, Paris, France
(varni at isir.upmc.fr)

Salvatore Anzalone,
Institute for Intelligent Systems and Robotics,
University Pierre and Marie Curie, Paris, France
(anzalone at isir.upmc.fr)

Ginevra Castellano,
Department of Information Technology
Uppsala University, Sweden
(ginevra.castellano at it.uu.se)

Catherine Pelachaud,
CNRS
Telecom ParisTech, Paris, France
(catherine.pelachaud at telecom-paristech.fr)

SPONSORS

This workshop is partially supported by the Laboratory of Excellence SMART (http://www.smart-labex.fr) and the A1:1 project.

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