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CALL FOR PAPERS
1st Int. Workshop on Automatic Sentiment Analysis in the Wild @ ACII 2015
21 September 2015, Xi'an / P.R. China
Important Dates:
Paper submission deadline 20 June 2015
Notification of acceptance 15 July 2015
Camera ready papers due 24 July 2015
Overview:
The Workshop on Automatic Sentiment Analysis (WASA) workshop series is the premier international forum for research on technologies for analysis of human sentiment, and empathic and social behaviour observed in the wild. Machine analysis of human sentiment in response to multimedia content (movie trailers, product adverts, etc.) by people in the wild, and automatic estimation of sentiment, rapport and empathy shown by people involved in unscripted face-to-face or computer-mediated interaction, is of utmost importance for research on next-generation computing and multimedia including affective multimodal interfaces, interactive multi-party games, user-centric healthcare and online services, automatic market research analysis, etc. The workshop will present cutting-edge research and new challenges in automatic analysis of human sentiment and empathy and its applications in an interdisciplinary forum of computer and behavioral scientists. It is aimed towards bringing together scientists from a wide range of theoretical and application areas whose work impacts machine analysis of sentiment, empathy, and social interactions. The goal is to facilitate a truly interdisciplinary, fruitful discussion on machine analysis of human sentiment, empathic and social behavior between experts, new investigators, and students from all relevant fields. The general workshop topics will include, but are not limited to:
o Social Intelligence and Sentiment Modeling
o Sentiment, empathy and social behavior analysis from facial, vocal and bodily expressions recorded in the wild
o Expressive speech analysis in social interactions observed in the wild
o Human gesture and action recognition in social interactions observed in the wild
o Perceptual, empathic, and socially-aware user interfaces
o Empathic multimedia recommendation systems
o Databases for training and testing
o Empathic and socially-aware computing and applications
Paper Awards and Journal Special Issue:
WASA 2015 will include the award for the best paper. In addition, the best WASA 2015 papers will be invited for a special issue of the IEEE Transactions on Affective Computing.
Conference / Program Chairs:
Maja Pantic (Imperial College London, UK), email: [log in to unmask]<mailto:[log in to unmask]>
Björn Schuller (University of Passau, DE), email: [log in to unmask]<mailto:[log in to unmask]>
Elnar Hajiyev (RealEyes, EE/UK), email: [log in to unmask]<mailto:[log in to unmask]>
Florian Eyben (audEERING UG, DE), email: [log in to unmask]<mailto:[log in to unmask]>
Program Committee:
Rodrigo Agerri (EHU, ES), Cristina Bosco (U. Torino, IT), Felix Burkhardt (Deutsche Telekom, DE), Nick Campbell (Trinity College Dublin, IE), Mohamed Chetouani (UPMC, FR), Dilek Hakkani Tur (Microsoft Research, US), Carlos Iglesias (UPM, ES), Louis Philippe Morency (USC, US), Albert Ali Salah (Boðaziçi University, TR), Kam Star (Playgen, UK), Jianhua Tao (CAS, CN), Michel Valstar (Nottingham University, UK), Tony Veale (UCD, IE), Lijun Yin (Binghamton University, USA)
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Univ.-Prof. Dr.-Ing. habil.
Björn W. Schuller
Head
Chair of Complex and Intelligent Systems
University of Passau
Passau / Germany
Senior Lecturer in Machine Learning
Department of Computing
Imperial College London
London / U.K.
CEO
audEERING UG (limited)
Gilching / Germany
Visiting Professor
School of Computer Science and Technology
Harbin Institute of Technology
Harbin / P.R. China
Associate
Institute for Information and Communication Technologies
Joanneum Research
Graz / Austria
Associate
Centre Interfacultaire en Sciences Affectives
Université de Genève
Geneva / Switzerland
Editor in Chief
IEEE Transactions on Affective Computing
President
Association for the Advancement of Affective Computing
AAAC
[log in to unmask]<mailto:[log in to unmask]>
http://www.schuller.it<http://www.schuller.it/>
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