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Special Session
Special Session on
recognition Of Affect Signals from physiologIcal data for Social robots
 - OASIS 2014

7 - 9 January, 2014 - Lisbon, Portugal

Within the International Conference on Physiological Computing Systems - PhyCS 2014

In cooperation with:


Ginevra Castellano
University of Birmingham
United Kingdom
Iolanda Leite
INESC-id, Instituto Superior Técnico
Ana Paiva
INESC-id, Instituto Superior Técnico


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. Examples of such devices include Affectiva’s Q Sensor1 and edaPlux2, which measure 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 to be 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.

Physiological data is extremely relevant for HRI research in two main directions. First, it can complement traditional survey methods such as questionnaires by evaluating users’ genuine responses toward robots during the interaction. Another promising application for physiological signal processing is real-time affect recognition of users. Physiological signals can be combined with other modalities (e.g., vision, context interpretation, and so on), to infer possible affective states that the user is experiencing, so that the robot can react accordingly. For this reason, contributions with work on multimodal affect recognition (including other modalities than physiological data) are also welcome.

This special session will address these challenges, by attracting researchers from the areas of Human-Robot Interaction, Affective Computing, Multimodal Behavioural Perception and Social Signal Processing. The focus of the session will be on how to apply physiological computing in order to make robots more interactive, socially aware and empathic towards users.

1 http://www.affectiva.com/q-sensor/
2 http://www.plux.info/EDA

Topics of Interest
Topics of interest include, but are not limited to:

  • 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


Paper Submission: November 6, 2013 (expired)
Authors Notification: December 3, 2013 (expired)
Camera Ready and Registration: December 8, 2013 (expired)
Special Session 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, Denmark


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines and Templates.
Papers should be submitted electronically via the web-based submission system at: http://www.insticc.org/Primoris


All accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on CD-ROM support - and submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library


PhyCS Special Sessions - OASIS 2014
e-mail: phycs.secretariat@insticc.org