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Mon, 14 Jun 2021 16:02:36 +0100
Nicholas Cummins <[log in to unmask]>
"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
Nicholas Cummins <[log in to unmask]>
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Dear Colleagues,

We have extended the deadline for our workshop titled “Socially-Informed AI
for Healthcare: Understanding and Generating Multimodal Nonverbal Cues”
which takes place as part of the 23rd ACM International Conference on
Multimodal Interaction 2021 in October 2021 in Montreal, Canada.

The new deadline is June 27, 2021. For further information, please see


Advances in the areas of face and gesture analysis, computational
paralinguistics, multimodal interaction, and human-computer interaction
have all played a major role in shaping research into assistive
technologies over the last decade, resulting in a breadth of practical
applications ranging from diagnosis and treatment tools to social companion
technologies. While nonverbal cues play an essential role, there are still
many key issues to overcome, which affect both the development and the
deployment of multimodal technologies in real-world settings. The key aim
of this multidisciplinary workshop is to foster cross-pollination by
bringing together computer scientists and social psychologists to discuss
innovative ideas, challenges and opportunities for understanding and
generating multimodal nonverbal cues within the scope of healthcare
applications. Topics include, but are not limited to:

   - Analysis and synthesis of multimodal nonverbal cues, including facial
   expressions, paralinguistics, eye gaze and head movements, body postures
   and hand gestures, audio (e.g., turn taking, vocal outbursts, etc.) within
   an interaction context,
   - Co-modelling of nonverbal and verbal cues,
   - Cross-modality learning for the analysis and synthesis of nonverbal
   - Novel methodologies for modelling long-term interactions through
   multiple modalities,
   - Modelling of interpersonal coordination such as convergence, synchrony
   or mimicry,
   - Personalisation and adaptation mechanisms for healthcare applications,
   - Automatic detection of non-conforming patterns and/or violations in
   social norms and expectations (expectancy violations theory) in nonverbal
   - Clinical applications (e.g., autism, depression, anxiety, etc.),
   including defining appropriate qualitative and quantitative evaluation
   - Privacy preserving approaches to data collection or synthetic data
   - Novel technological devices or robotics platforms specifically for
   healthcare applications,
   - Explainable AI techniques focused towards clinical applications.


Prof. Antonia Hamilton, University College London, UK

Dr Stefan Scherer, Embodied, Inc., USA

Prof. Laurel Riek, University of California, San Diego, USA


Paper submission: June 27, 2021

Paper notification: August 9, 2021

Camera-ready paper submission: September 10, 2021

Workshop day: TBA (held in conjunction with ACM ICMI 2021)


Submissions will be via Easychair and should follow the ICMI template.
Please follow the link
for submitting your paper and please refer to please see for more information. We
welcome research papers in the following formats:

   - Workshop Full Paper =8 Page Limit + extra pages for references
   - Workshop Short Paper =4 Page Limit + extra pages for references
   - Workshop Poster Abstract =3 Page Limit + extra pages for references

Please share this message with interested colleagues.

With many thanks and best wishes,

Oya Celiktutan

Alexandra Georgescu

Nicholas Cummins

*Organisers, Socially Informed AI for Healthcare 2021 *

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