Scherer, KR, Bänziger, T, Roesch E.B.: Preface
Theoretical approaches to the study of emotion in humans and
machines
Introduction
1.1: Scherer, K.R.: Emotion and emotional competence: conceptual
and theoretical issues for modeling
1.2: Marsella, S., Gratch, J., Petta, P.: Computational models of
emotion
The emotion process: Perspectives from psychology and the
neurosciences
Introduction
2.1: Scherer, KR: The component process model: a blueprint for a
comprehensive computational model of emotion
2.2: Grandjean D., Sander, D.: The emotional brain meets affective
computing
2.3: Bänziger, T, With, S., Kaiser, S: The face and voice of
emotions: the expressions of emotions
2.4: Kreibig, S., Schaefer, G., Brosch, T.: Psychological response
patterning in emotion: implications for affective computing
2.5: Parkinson, B: Emotions in interpersonal interactions
Emotional expression: Ground truth and agent evaluation
Introduction
3.1: Cowie, R., Douglas-Cowie, E., Martin, J.-C-, Devillers, L.:
The essential role of human databases for learning in and
validation of affectively competent agents
3.2: Scherer, KR. & Bänziger, T.: On the use of actor portrayals in
research on emotional expression
Approaches to the computational modelling of emotion
Introduction
4.1: Becker-Asano, C., Wachsmuth, I.: WASABI as a case study of how
misattribution of emotion can be modelled computationally
4.2: Roesch, EB, Korsten, N, Fragopanagos, N., Taylor, JG: Emotions
in artificial neural networks
Approaches to the implementation of emotionally competent
agents
Introduction
5.1: Hyniewska, S., Niewiadomski, R., Mancini, M., Pelachaud, C.:
Expression of affects in Embodied Conversational Agents
5.2: Schröder, M., Burkhardt, F., Krstulovic, S.: Synthesis of
emotional speech
5.3: Devillers, L., Vidrascu, L., Layachi, O.: Automatic detection
of emotion from vocal expression
5.4: Castellano, G., Caridakis, G., Camurri, A., Karpouzis, K.,
Volpe, G., Kollias, S.: Body gesture and facial expression analysis
for automatic affect recognition
5.5: Niewiadomski, R., Mancini, M., Hyniewska, S., Pelachaud, C.:
Communicating emotional states with the Greta agent
Approaches to developing expression corpora and databases
Introduction
6.1: Bänziger, T & Scherer, KR: Introducing the Geneva Multimodal
Emotion Portrayal (GEMEP) corpus
6.2: Cowie, R., Douglas-Cowie, E., Sneddon, I., McRorie, Hanratty,
J., McMahon, E. ,McKeown, G.: Induction techniques developed to
illuminate relationships between signs of emotion and their
context, physical and social.
Conclusions
Klaus Scherer, born in 1943, studied economics and social sciences
at the University of Cologne and the London School of Economics.
Following his postgraduate studies in psychology, he obtained a
Ph.D. from Harvard University in 1970. After teaching at the
University of Pennsylvania, Philadelphia, and the University of
Kiel, Germany, he was appointed, in 1973, full professor of social
psychology at the University of Giessen, Germany. From 1985 to
2008, Klaus
Scherer has held the chair of emotion psychology at the University
of Geneva, Switzerland, with teaching and research activities
focussing on the areas of emotion, stress, motivation, personality,
and
organisational behaviour.
Klaus Scherer is currently the Director of the Swiss National
Centre of Competence in Research for the Affective Sciences,
established by the Swiss government and the Swiss National Science
Foundation, and of its leading house at the University of Geneva,
the Interfaculty Centre for Affective Sciences.
Tanja Bänziger studied psychology in Switzerland (Lausanne and
Geneva). She obtained a PhD in the
vocal communication of emotion in 2004. For her post-doc she worked
on the recognition of emotion
in face and voice. She currently teaches at Högskola i Gävle. Dr.
Roesch started as a professional software engineer, before
completing undergraduate and postgraduate studies in cognitive
science. He completed his undergraduate research track record by
joining the Affective Neuroscience Laboratory, at Harvard
University, as a Research Assistant. In 2004, he joined Prof.
Scherer's lab to pursue a PhD in psychology investigating the
unfolding of attentional resource to the processing of
emotionally-relevant information. In 2008, he was awarded a
fellowship by the Swiss National Science Foundation to join the
Computing Dept. at Imperial College, where he contributed to the
development of NeMo,
a modelling platform of spiking neurons using high-performance
Graphics Processing Units (GPU). In 2010, he joined the Centre for
Integrative Neuroscience and Neurodynamics, on a project aiming at
bridging the gaps between neuroimaging and modelling. Dr. Roesch is
also an associate lecturer in Oxford Brookes University, where he
teaches cognitive neuroscience.
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