-------- Forwarded Message --------
* 2nd Call for Papers *
Workshop on Modeling Socio-Emotional and Cognitive Processes from
Multimodal Data in the Wild
https://sites.google.com/view/modeling-multimodal-data/home
To be held remotely as part of the 22nd ACM International
Conference on Multimodal Interaction (ICMI)
https://icmi.acm.org/2020/
Submission deadline: 17 August 2020
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This workshop is part of the 22nd ACM International Conference on
Multimodal Interaction (ICMI) to be held remotely due to COVID-19.
Machine Learning (ML) on sensor data of human users in the wild
poses numerous technical, theoretical, and ethical challenges.
Modeling of intelligent adaptive systems in human-computer or
human-robot interaction (HCI, HRI) can be based on a broad
spectrum of multimodal signals. For example, eye gaze or EEG may
reveal cues about a person's focus of attention, and multimodal
data from posture, voice, or facial expressions are frequently
examined to predict user engagement, affective responses, or
impending breakdown of the interaction. In short, multimodal
signal processing is essential for the design of more intelligent,
adaptive, or even empathic applications and systems in the wild.
However, important issues remain largely unresolved: Starting from
low-level processing and integration of noisy data streams, over
theoretical pitfalls (e.g., concerning the role of context), up to
increasingly pressing ethical questions about what artificial
systems and ML can and should do. In this workshop, we will
provide a forum for discussion of the state-of-the-art in modeling
user states from multimodal signals in the wild.
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Invited Speaker:
Tony Belpaeme, Ghent University, Belgium
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We welcome the presentation of evaluation studies, field research,
theoretical and interdisciplinary contributions, novel modeling
approaches, and insights on the ethical design of intelligent
adaptive systems in the wild, including:
* Multimodal modeling of emotions and social action tendencies
* Multimodal engagement, attention, stress, memory, and workload
estimation
* Modeling and response estimation with biological signals (e.g.,
EEG, EDA, EMG, HR)
* Eye tracking and shared attention
* Studies bridging multimodal research between the laboratory and
the wild
* Case studies involving rich and dynamic signal modeling
* Cognition-adaptive human-computer interfaces
* Experiment design for cognitive processes
* Ethical perspectives on current Human-Computer Interaction
(HCI), Human-Robot Interaction (HRI) and applications of
Artificial Intelligence (AI)
* Interdisciplinary collaborations to understand the underpinnings
of multimodal data
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Submission instructions:
Submissions of short (4 pages) and long (8 pages) should follow
the ACM conference proceedings format. Links to the templates are
available on the ACM website
(
https://www.acm.org/publications/proceedings-template). Each
paper will be sent to at least two expert reviewers and will have
one of the organizers assigned as editor. Review will be
double-blind. Papers should be submitted via the Microsoft
Conference Management Toolkit (CMT;
https://cmt3.research.microsoft.com/MSECP2020). Workshop
proceedings will be separate from the main conference proceedings.
**Workshop papers will be indexed by ACM.**
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Important dates:
Submission deadline: *17 August 2020*
Notifications of acceptance: 7 September 2020
Camera-ready versions 30 September 2020
Workshop date: TBD (either 25 or 29 October 2020)
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Organizing Committee:
Dennis Küster, University of Bremen, Germany
Felix Putze, University of Bremen, Germany
Patrícia Alves-Oliveira, University of Washington, USA
Maike Paetzel, Uppsala University, Sweden
Tanja Schultz, University of Bremen, Germany
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