Connectionists: What’s Next in Affect Modeling? - ACII Workshop | Deadline: May 28

[Georgios N Yannakakis]

*** Apologies for cross-postings***

The first workshop on “What's next in Affect Modeling?” (
http://whatnext.tamed-project.eu/) will be held online in conjunction with
ACII 2021 (https://www.acii-conf.net/2021/).

*** Description ***
The valid and reliable evaluation of affect and affective interaction is
key for the advancement of affective computing (AC). Recent breakthroughs
in deep (machine) learning and generative AI have boosted the efficiency
and generality of affect models by discovering novel representations of
users and their context acting on high resolutions of multimodal signals.
Such representations, however, are data-hungry and in need of large
datasets that AC is not able to offer. Moreover, as affect models gradually
become larger and more complex, their expressivity, explainability, and
transparency become increasingly opaque.

This workshop puts an emphasis on SoTA methods in machine learning and
their suitability for advancing the reliability, validity, and generality
of affective models. We will be investigating entirely new methods, untried
in AC, but also methods that can be coupled with traditional and dominant
practices in affective modeling. In particular, we encourage submissions
that offer visions of particular algorithmic advancements for affect
modeling and proof-of-concept case studies showcasing the potential of new
sophisticated machine learning methods.

Topics include but are not limited to:

- Representation learning of affect
- Signal tensorization for affect modelling
- Unsupervised tensor subspace learning and supervised (semi- and self-)
tensor-based machine learning for affect modeling
- RL as an affective computing paradigm
- Manifold learning and feature learning
- Contrastive learning paradigms and models for affect modeling
- Neural architecture search and open-ended evolution for affect
- Distributed and Disentangled Affect Representation
- Sophisticated multimodal fusion (e.g. via tensors) of affective signals
- Explainable affect models
- Applications studies in education, art, creativity, health, psychology,
and beyond

*** Important dates ***
- Paper submission: 28 May 2021
- Notification of acceptance: 12 July 2021
- Camera-ready submission: 26 July 2021

Keynote Speaker
- Prof. Michel Valstar, School of Computer Science, University of Nottingham

Organizers
- Konstantinos Makantasis, Georgios N. Yannakakis, Bjoern Schuller

** Endorsed by ***

TAMED project: http://www.tamed-project.eu/project
sustAGE project: https://www.sustage.eu

-- 

<https://www.um.edu.mt/>




Georgios N. Yannakakis |  Professor


Director

Institute of Digital Games
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