[CogSci] CFP - Special Issue on Computational Modelling of Emotion: Theory and Applications
D.D.Petters at cs.bham.ac.uk
Mon Apr 23 01:59:53 PDT 2018
Dear Cognitive Science Society announcements list,
please find the following CFP:
IEEE Transactions on Affective Computing special issue on 'Computational
modelling of emotion: theory and applications'
- Abstract submission: May 11th 2018 (abstracts should e-mailed
directly to guest editors at d.d.petters at cs.bham.ac.uk, by a deadline of
May 11th 2018, that it may be possible to negotiate a later date for
submitting the abstract – please contact the guest editors at
d.d.petters at cs.bham.ac.uk)
- Closed for submissions: June 9th 2018
- Results of first round of reviews: 10 Sept 2018
- Submission of revised manuscripts: 1 Jan 2019
- Results of second round of reviews: 1 Feb 2019
- Publication materials due: 30th March 2019
In the early decades of cognitive science research, emotion was either
absent or side-lined from most computational models of human behaviour.
Since then interest in attempts to computationally model emotions has
grown, with many projects now either attempting to understand natural
emotions or to implement synthetic emotions in chatbots, virtual agents
or robots, for practical uses of many sorts from entertainment to
caring. Whilst there are now numerous models of affective phenomena in
the literature, they differ in important respects. They differ in how
they describe and explain a range of phenomena, including the nature and
order of perceptual, cognitive and emotional mental processes and
behavioural responses in emotional episodes. They also differ in their
target level of granularity: from fine-grained neural to coarse-grained
psychological. Different models simulate emotions (and other mental
states) with different ontological status and with a different focus on
whether they model external behaviour or internal states. This diversity
provides a challenge, but also an opportunity.
This special issue aims to facilitate movement towards a mature
integrated field with a deeper and richer understanding of biological
minds and also design functionalities of applied models by more clearly
setting out interrelationships between models and present attempts to
provide formal or standard models of particular approaches within
emotion modelling. For example,Marsella, Gratch and Petta (2010) focus
on appraisal and dimensional models and Scherer (2010) sets out a
broader taxonomic analysis including radically different kinds of
emotion models, including: appraisal; adaptational; dimensional;
motivational; circuit; discrete; lexical and social constructivist
models. Whilst Broekens, DeGroot and Kosters (2008) provide a deeper
yet narrower analysis by formalising the structure of emotional
appraisal structures with a notation for the declarative semantics of
these kinds of emotional states.Hudlicka (2011) shows how a broader
organising approach can progress by highlighting the generation and
effect of emotions as fundamental processes with associated 'generic
tasks' that can lead to broad categorisations useful in creating
guidelines for model development and more systematic comparison of
existing models. The project for standardisation and formalisation for
emotion models is taken further by Reisenzein, Hudlicka, Dastani,
Gratch, Hindriks, Lorini, and Meyer (2013), who propose further
standardisation; formalisation; and in addition, integration of emotion
models with existing prominent and widely used cognitive architectures.
Standardisation can involve benchmark scenarios and replication of
results. However, benchmarks can have a negative influence on progress
if they become narrow targets for model development. This kind of
narrow development can be minimised by clarity regarding how the
modelling is done and what theoretical or applied goals are to be
achieved for a given model.
Contributions that move this debate in the literature forward by further
identifying and attempting to remedy gaps in current research on
affective phenomena are particularly welcome. For example, some emotion
models fail to acknowledge that emotions are just a subcategory of
"affect". Richer theories and models should include motives,
attachments, preferences, values, standards, attitudes, moods,
ambitions, obsessions, humour, grief, various kinds of pride, and
various other social, complex and secondary emotions as well as moral
and aesthetic phenomena. The narrow focus may not matter much for
narrowly focused applications of AI, such as toys or entertainment, but
it can lead to serious omissions and distortions in attempts to advance
the science of mind through computational modelling.
Therefore the aims of this special issue include: presenting the state
of the art in emotion modelling and considering how existing research in
modelling of emotions, motivation and other varieties of affect can be
integrated, validated and compared with each other as well as with
possible 'standard models' of emotion. The special edition also aims to
explaining how technological applications based on this broader, more
standardised and formalised approach can be used to make contributions
to psychological theory.
Broekens, J., DeGroot, D., and Kosters, W. A. (2008). Formal Models of
Appraisal: Theory, Specification, and Computational Model. Cognitive
Systems Research, 9(3), 173-197.
Hudlicka, E. Guidelines for Developing Computational Models of Emotions.
International Journal of Synthetic Emotions, 2(1), 2011, 26-79.
Marsella, S, Gratch, J, and Petta, P. (2010). Computational Models of
Emotion. In Klaus R. Scherer, Tanja Bänziger & Etienne Roesch (eds.), A
Blueprint for Affective Computing: A Sourcebook and Manual. OUP, Oxford,
Reisenzein, R., Hudlicka, E., Dastani, M., Gratch, J., Lorini, E.,,
Meyer, J., (2013).: Computational Modeling of Emotion: Toward Improving
the Inter- and Intradisciplinary Exchange. IEEE Transactions on
Affective Computing, 4(3): 246-266.
Scherer, K.R., (2010). Emotion and emotional competence: conceptual and
theoretical issues for modelling agents." In. Blueprint for affective
computing: A sourcebook and manual,eds. Klaus R. Scherer, Tanja
Bänziger, and Etienne Roesch. OUP, Oxford, pp. 3-20
Topics include, but are not limited to:
● Computational architectures which model emotion
● Models of affect which are incorporated within applications in
human computer interaction and health technology. For example, in the
health domain, emotion models which can enhance assessment, diagnosis
● Embodied, situated and enactivist approaches to emotion
● Emotion model validation
● Cognition-emotion interactions, including: how models explain
the nature of interaction between reasoning and emotion, affective
biases, and the emotional underpinnings of reasoning;
● Emotion modelling in computational psychiatry, including
investigating the mechanisms of pathological thinking and emotion
● Attachment modelling, in particular how dyadic coupled emotions
form and shape social interactions in the moment and over ontogentic
● The time course of emotional episodes, including how emotions
and cognitions shape each other over different timescales, from
momentary episodes to longer term affective states and the development
of personality, plus how timing may be used in model validation
● How the interaction between cognition and emotion relates to
mechanisms of self-control, meta-management and coherence in thought and
behaviour, and loss of these states
abstracts should e-mailed directly to guest editors at
d.d.petters at cs.bham.ac.uk, by a deadline of May 11th 2018, it may be
possible to negotiate a later date for submitting the abstract – please
contact the guest editors at d.d.petters at cs.bham.ac.uk
Submission point for full papers by the deadline of June 9th 2018:
The expected page lengths is up to and usually not over 12 formatted,
double column pages.
Further author instructions on this page:
https://www.computer.org/web/tac/author (which includes latex and other
This IEEE TAC special issue will accept improved and enlarged conference
papers, (an approximate guide is around at least 30% longer/improved
material from the conference publication).
Dean Petters (senior lecturer in psychology, Dept. of Psychology, School
of Social Sciences, Birmingham City University UK, d.petters at wlv.ac.uk).
Joel Parthemore (visiting researcher, Dept. of Cognitive Neuroscience
and Philosophy, University of Skövde, Sweden, joel.parthemore at his.se).
David Moffatt (lecturer, School of Engineering and Built Environment,
Glasgow Caledonian University, D.C.Moffat at gcu.ac.uk).
Celso De Melo (computer scientist, US Army Research Laboratory, Playa
Vista, CA, celso.miguel.de.melo at gmail.com).
Christian Becker-Asano (research scientist, Bosch R&D, Renningen,
Germany, christian at becker-asano.de).
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