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Research on Emotions and Human-Machine Interaction
HUMAINE News
First International Workshop on Wide Spectrum Social Signal Processing (WS³P2012)
A large part of users of Social Computing and Social Signal Processing technology have special needs owing to their special mental conditions such as Autism Spectral Condition or physical limitations. At the same time, Social Computing offers great potential in particular for these users: Many target groups show high affinity to technical systems and practically all of these can be assumed to benefit from social networks and social and affective technical solutions tailored to their needs. As a consequence, there has been a growing interest within the computing community in becoming more engaged in social sciences and more particularly in psychopathologies such as Autism. The WS³P 2012 workshop aims to gather researchers and practitioners in the field of Social Computing, Social Signal Processing, Social Robotics and Psychopathology. Joint research across these communities will have a major impact on methodologies, problems and issues related to users with development or abilities on a wide spectrum.
Amsterdam, The Netherlands, 03 September 2012
W3C Invites Implementations of Emotion Markup Language (EmotionML) 1.0
So here it is, EmotionML is considered mature enough to be implemented. If you are interested in EmotionML, please consider implementing it in the next three months and submitting an implementation report.
11 May 2012

Tool of the day

GVEESS - Geneva Vocal Emotion Expression Stimulus Set


224 vocal emotion portrayals described in: Banse, R., & Scherer, K. R. (1996). Acoustic profiles in vocal emotion expression. Journal of Personality and Social Psychology, 70, 614-636. This corpus of audio recordings is based on research conducted by Klaus Scherer, Harald Wallbott, Rainer Banse & Heiner Ellgring. The expressions were recorded in Munich and digitalised in Geneva
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Researcher of the day


Andrea Kleinsmith
Goldsmiths, University of London
Key research interests:

Automatic affect recognition systems focused on body posture and movement; cultural differences in affect expression and recognition; computational models of affectvie body posture; expressive virtual characters.
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