***Special Session on recognition Of Affect Signals from physiologIcal 
data for Social robots (OASIS 2014)***

www.phycs.org/OASIS.aspx

In conjunction with the International Conference on Physiological 
Computing Systems (PhyCS 2014) and in Cooperation with FP7 EU-project EMOTE.

7 - 9 January, 2014 - Lisbon, Portugal

*****************************************************************************************

Scope:

With the recent advances in biosensor technology, small, wireless and 
inexpensive sensors are becoming increasingly more popular, as users can 
wear these sensors while performing a large set of activities without 
becoming intrusive. These devices can measure, for example, arousal 
through skin conductance, a form of electrodermal activity linked to 
states of excitement, attention, anxiety or cognitive load. Socially and 
affect-aware robots that can capture some of these states from the user 
are considered more effective in engaging users for longer periods of 
time. For these reasons, research on physiological signals has been 
attracting the attention of researchers in the Human-Robot Interaction 
(HRI) community.

The focus of the session is on how to apply physiological computing in 
order to make robots more interactive, socially aware and empathic 
towards users. By addressing these challenges, we expect to attract 
researchers from the areas of Human-Robot Interaction, Affective 
Computing, Multimodal Behavioural Perception and Social Signal 
Processing. The main expected outcomes are the identification and 
discussion of the most relevant challenges, issues and opportunities of 
using this technology in HRI scenarios. We expect to promote closer 
interaction among researchers from different communities, and to provide 
a forum in which researchers can share and discus their main findings in 
this area.

Topics of interest include:

- Affect and behaviour recognition using physiological data
- Multimodal human affect and social behaviour recognition
- Applications for physiological data in human-robot and human-computer 
interaction
- Techniques for pattern recognition and social signal processing
- Methodologies for using physiological data in HRI and HCI evaluations
- Data collection in real-world environments

Important dates:

Paper Submission: October 29, 2013
Authors Notification: November 15, 2013
Camera Ready and Registration: November 27, 2013

Organizing Committee:

Ginevra Castellano, University of Birmingham, UK
Iolanda Leite, INESC-ID and IST, Technical University of Lisbon, Portugal
Ana Paiva, INESC-ID and IST, Technical University of Lisbon, Portugal

Program Committee:

Patrícia Arriaga, ISCTE-IUL, Portugal
Christian Becker-Asano, Albert-Ludwigs-Universität Freiburg, Germany
Sidney D’Mello, University of Notre Dame,USA
Hatice Gunes, Queen Mary University of London, UK
Rui Henriques, Instituto Superior Técnico, Portugal
Ehsan Hoque, MIT Media Lab, USA
Arvid Kappas, Jacobs University Bremen, Germany
Dennis Küster, Jacobs University Bremen, Germany
Laurel Riek, University of Notre Dame, USA
Astrid Rosenthal-von der Pütten, University of Duisburg-Essen, Germany
Mohammad Soleymani, Imperial College London, UK
Adriana Tapus, ENSTA-ParisTech, France
Georgios N. Yannakakis, IT University of Copenhagen

-- 
Dr. Ginevra Castellano
School of Electronic, Electrical and Computer Engineering
University of Birmingham
Edgbaston
Birmingham
B15 2TT
United Kingdom

Telephone: +44 (0)121 414 7118
Email: [log in to unmask]
http://www.eee.bham.ac.uk/castellg/

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