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Date: Tue, 22 Jun 2021 14:51:35 -0400
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--- (Apologies for cross-posting; please pass along to any colleagues and students you think may be interested.) ---

ICMI 2021 Workshop on Modelling Socio-Emotional and Cognitive Processes from Multimodal Data in the Wild

Workshop website:
Keynote Speaker: Valeria Villani, University of Modena and Reggio Emilia, Italy

This workshop is part of the 23rd ACM International Conference on Multimodal Interaction (ICMI) to be held in Montreal, Canada. This is a sequel from the workshops held during ICMI 2018 (“Modelling Cognitive Processes from Multimodal Signals”) and ICMI 2020 (“Workshop on modelling socio-emotional and cognitive processes from multimodal data in the wild”).

Multimodal signal processing in HRI and HCI is increasingly entering into a more applied stage, reaching the point of having systems providing engaging interaction experiences in everyday life contexts. These behaviors may have been adequately understood and trained in one context, but they may perform rather poorly when deployed in the wild.

Multimodal signal processing is essential for the design of more intelligent, adaptive and even empathic applications in the wild. However, important issues remain largely unresolved: Starting from low-level processing and integration of noisy data streams, over theoretical pitfalls, up to increasingly pressing ethical questions about what artificial systems and machine learning 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. The aim is to focus on human-robot adaptive systems with live feedback from body dynamics and physiological sensing. We look forward to works that combine measures of socio-emotional engagement, mental effort, stress, and dynamics of bodily signals with measures of cognitive load to develop more robust and predictive models.

-------------- Topics of interest -------------------

- Studies bringing multimodal research between the laboratory and the wild.
- Cognition-adaptive human-computer interfaces.
- Body dynamics analysis for load identification.
- Modelling of emotions and social actions.
- Eye tracking and attention detection.
- Multimodal engagement, attention, stress, memory and workload estimation.
- Modeling and response estimation with biological signals (e.g., EEG, EDA, EMG, HR).
- Experiment design for cognitive analysis.
- Interdisciplinary collaborations to understand the underpinnings of multimodal data.

---------- Submission instructions and important dates ---------------

- Full Paper = 8 Page Limit + extra pages for references only with optional auxiliary material (zipped) & thumbnail image
- Short Paper = 4 Page Limit + extra pages for references only with optional auxiliary material (zipped) & thumbnail image
- Poster Abstract = 3 Page Limit + extra pages for references only with optional auxiliary material (zipped) & thumbnail image

Submissions should follow the ACM conference proceedings format. Links to the ACM SIG templates are available on the ACM website (please use the “sample-sigconf.tex” template). An Overleaf template for all three submission formats is directly available here. Word authors can find the ACM interim layout template here. Papers should be submitted via the Microsoft Conference Management Toolkit.

- Submission deadline: 31 July 2021
- Notifications of acceptance: 31 August 2021
- Camera-ready versions 28 September 2020

-> Workshop date: TBD (2X October 2020)

--------- Organizing Committee --------------
Dennis Küster, University of Bremen, Germany
Felix Putze, University of Bremen, Germany
David St-Onge, École de Technologie Supérieure, Canada
Tanja Schultz, University of Bremen, Germany
Pascal E. Fortin, McGill University, Canada
Nerea Urrestilla, École de Technologie Supérieure, Canada)

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