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IEEE Transactions on Affective Computing
Description:
Affective Computing is the field of study concerned with understanding, recognizing and utilizing human emotions in the design of computational systems. The IEEE Transactions on Affective Computing (TAC) is intended to be a cross disciplinary and international archive journal aimed at disseminating results of research on the design of systems that can recognize, interpret, and simulate human emotions and related affective phenomena. The journal will publish original research on the principles and theories explaining why and how affective factors condition interaction between humans and technology, on how affective sensing and simulation techniques can inform our understanding of human affective processes, and on the design, implementation and evaluation of systems that carefully consider affect among the factors that influence their usability.
Research areas of relevance to this publication includes, but is not limited to, the following topics:
- Algorithms and features for the recognition of affective state from speech, nonverbal behavior and physiological measures
- Methods for multi-modal recognition of affective state
- Tools, methods and standards to development of emotional corpora
- Computational models of human emotion processes (e.g., decision-making models that account for the influence of emotion; predictive models of user emotional state)
- Studies on cross-cultural, group and cross-language differences in emotional expression
- Computational models of visual, acoustic and textual emotional expression for synthetic and robotic agents
- Methods to adapt interaction with technology to the affective state of users
- New methods for defining and evaluating the usability of affective systems and the role of affect in usability
- Application of affective computing including education, health care, entertainment, customer service, design, vehicle operation, social agents/robotics, affective ambient intelligence, customer experience measurement, multimedia retrieval, surveillance systems, biometrics, music retrieval and generation
Go to www.computer.org/tac for subscription and author submission information. For two inaugural issues in 2010 of TAC, members of all cosponsor societies get the low member rate of $30 USD (online-only). Non-members get a rate of $61 USD (CD format: 1st issue available in July 2010 and 2nd issue available in December 2010).
Editor-in-Chief:
Jonathan Gratch
USC Department of Computer Science
Associate Editors
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Elisabeth André University of Augsburg, Germany |
Jean-Marc Fellous University of Arizona, USA |
Stacy Marsella University of Southern California, USA |
Matthias Scheutz Indiana University Bloomington, USA |
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Jeremy Bailenson Stanford University, USA |
Alan Hanjalic Delft University of Technology, Netherlands |
Shri Narayanan University of Southern California, USA |
Marc Schröder DFKI, Germany |
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Anton Batliner University of Erlangen-Nuremberg, Germany |
Kristina Höök Stockholm University, Sweden |
Ana Paiva INESC-ID / Instituto Superior Técnico, Portugal |
Bernd Carsten Stahl De Montfort University, UK |
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Cynthia Breazeal MIT Media Lab, USA |
Qiang Ji Rensselaer Polytechnic Institute, USA |
Brian Parkinson University of Oxford, UK |
Jan Wiebe University of Pittsburgh, USA |
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Rafael Calvo The University of Sydney, Australia |
Seong-Whan Lee Korea University, South Korea |
Catherine Pelachaud LTCI, TELECOM ParisTech, France |
Chung-Hsien Wu National Cheng Kung University, Taiwan |
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Jeff Cohn University of Pittsburgh, USA |
Christine Lisetti Florida International University, USA |
Helmut Prendingeger National Institute of Informatics, Japan |
Georgios N. Yannakakis IT University of Copenhagen, Denmark |
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Cristina Conati University of British Colombia, Canada |