[iva] CfP for Socially Informed AI for Healthcare Workshop, ACM ICMI 2021

[Nicholas Cummins]

*** PLEASE ACCEPT OUR APOLOGIES FOR MULTIPLE COPIES ***

Dear colleagues,

We are pleased to announce 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. For more information,
please see https://social-ai-for-healthcare.github.io/.

# CALL FOR PAPERS

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 cues,
- 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
interaction,
- Clinical applications (e.g., autism, depression, anxiety, etc.),
including defining appropriate qualitative and quantitative evaluation
methods,
- Privacy preserving approaches to data collection or synthetic data
generation,
- Novel technological devices or robotics platforms specifically for
healthcare applications,
- Explainable AI techniques focused towards clinical applications.

# KEYNOTE SPEAKERS

Prof. Antonia Hamilton, University College London, UK
Dr Stefan Scherer, Embodied, Inc., USA
Prof. Laurel Riek, University of California, San Diego, USA

# KEY DATES

Paper submission: June 18, 2021
Paper notification: August 9, 2021
Camera-ready paper submission: September 10, 2021
Workshop day: TBA (held in conjunction with ACM ICMI 2021)

# INFORMATION FOR AUTHORS

Submissions will be via Easychair and should follow the ICMI template, more
information can be found at the workshop website
https://social-ai-for-healthcare.github.io/. 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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