EmoSPACE 2013 - 2nd International Workshop on Emotion Representation, Analysis and Synthesis in Continuous Time and Space

EmoSPACE 2013 - Call for Papers
2nd International Workshop on Emotion Representation, Analysis and Synthesis in Continuous Time and Space
In conjunction with IEEE FG 2013, Shanghai, China, 22/26 April, 2013
http://emotion-research.net/sigs/speech-sig/emospa...
Building upon the success of the first EmoSPACE workshop at IEEE FG’11, the second workshop in the EmoSPACE Workshop series aims to (i) focus on continuity in input, analysis and synthesis in terms of continuity in time and continuity in affective, mental and social dimensions and phenomena, and (ii) discuss the issues and the challenges pertinent in sensing, recognizing and responding to continuous human affective and social behaviour from diverse communicative cues and modalities.
The key aim of EmoSPACE’13, the second workshop in the series, is to present cutting-edge research and new challenges in automatic and continuous analysis and synthesis of human affective and social behaviour in time and/or space in an interdisciplinary forum of affective and behavioural scientists. More specifically, the workshop aims (i) to bring forth existing efforts and major accomplishments in modelling, analysis and synthesis of affective and social behaviour in continuous time and/or space, (ii) while encouraging the design of novel applications in context as diverse as human-computer and human-robot interaction, clinical and biomedical studies, learning and driving environments, and entertainment technology, and (iii) to focus on current trends and future directions in the field.
Suggested workshop topics include, but are by no means limited to:
Cues for continuous affective, mental and social state recognition
facial expressions
head movements and gestures
body postures and gestures
audio (e.g., speech, non-linguistic vocalisations, etc.)
bio signals (e.g., heart, brain, thermal signals, etc.)
Automatic analysis and prediction
approaches for discretised and continuous prediction
identifying appropriate classification and prediction methods
introducing or identifying optimal strategies for fusion
techniques for modelling high inter-subject variation
approaches to determining duration of affective and social cues for automatic analysis
Data acquisition and annotation
elicitation of affective, mental and social states
individual variations (interpersonal and cognitive issues)
(multimodal) naturalistic data sets and annotations
(multimodal) annotation tools
modelling annotations from multiple raters and their reliability
Applications
interaction with robots, virtual agents, and games (including tutoring)
mobile affective computing
smart environments& digital spaces (e.g., in a car, or digital artworks)
implicit (multimedia) tagging
clinical and biomedical studies (e.g., autism, depression, pain etc.)
Workshop Organisers
Hatice Gunes, Queen Mary University of London, UK, hatice-AT-eecs.qmul.ac.uk
Björn Schuller, Technische Universität München, Germany, schuller-AT-tum.de
Maja Pantic, Imperial College London, UK, m.pantic-AT-imperial.ac.uk
Roddy Cowie, Queen's University Belfast, UK, R.Cowie-AT-qub.ac.uk
Program Committee
Anton Batliner, Technische Universität München, Germany
Nadia Bianchi-Berthouze, University College London, UK
Felix Burkhardt, Deutsche Telekom, Germany
Carlos Busso, University of Texas at Dallas, USA
Antonio Camurri, University of Genova, Italy
George Caridakis, National Technical University of Athens, Greece
Ginevra Castellano, University of Birmingham, UK
Sidney D'Mello, University of Memphis, USA
Dirk Heylen, University of Twente, The Netherlands
Eva Hudlicka, Psychometrix Associates, USA
Irene Kotsia, Queen Mary University London, UK
Gary McKeown, Queen's University Belfast, UK
Louis-Philippe Morency, University of Southern California, USA
Anton Nijholt, University of Twente, Netherlands
Peter Robinson, University of Cambridge, UK
Albert Ali Salah, Bogazici University, Turkey
Stefan Steidl, FAU, Germany
Michel Valstar, University of Nottingham, UK
Dongrui Wu, GE Global Research, USA
Stefanos Zafeiriou, Imperial College London, UK