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

[Oya Celiktutan]

*** 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/ <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/ <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 

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20210415/445231ca/attachment.html>