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Catherine PELACHAUD <[log in to unmask]>
Tue, 7 Jul 2020 14:52:33 +0200
text/plain (129 lines)
**

*Hi, *

*

please consider submitting to the workshop below and forward this call 
for paper to colleagues.


Best,


Jean-Claude MARTIN & Catherine PELACHAUD


-----------------------------CALL FOR PAPERS


Workshop on Social Affective Multimodal Interaction for Health (SAMIH)

  -Virtual conference -


Workshop webpage:

https://sites.google.com/view/wsamih/home


Organizers:

Hiroki Tanaka (Nara Institute of Science and Technology, Japan)

Satoshi Nakamura (Nara Institute of Science and Technology, Japan)

Jean-Claude Martin (CNRS-LIMSI, France)

Catherine Pelachaud (CNRS-ISIR, Sorbonne University, France)


Workshop description:

Social Skill Training is often used in the multimodal Interaction 
research community as an umbrella term for systems that aim at training 
social skills: managing appropriately verbal and nonverbal behaviors 
when interacting with one or more persons, in relation with various 
communicative functions such as turn taking and emotions.

People with social affective deficits have difficulties controlling 
their own social behavior and also suffer from interpreting others’ 
social behavior. Behavioral therapy (eg with a clinician) and Social 
Skill Training (SST) are used in medical settings. Patients are trained 
with a coach to experience social interaction and to reduce social 
stress. SST includes a role-play of a simulation of actual situations. 
In addition to behavioral training, cognitive therapy and motivational 
interviewing are also useful to better understand and train 
social-affective interaction. All these methods are effective but 
expensive and difficult to access.

This workshop is looking for works describing how interactive, 
multimodal technology such as virtual agents can be used in social 
skills training for measuring and training social-affective 
interactions. Sensing technology now enables analyzing user’s behaviors 
and physiological signals (heart-rate, EEG, etc). Various signal 
processing and machine learning methods can be used for such prediction 
tasks. Beyond sensing, it is also important to analyze human behaviors 
and model and implement training methods (e.g. by virtual agents, social 
robots, relevant scenarios, design appropriate and personalized feedback 
about social skills performance). Such social signal processing and 
tools can be applied to measure and reduce social stress in everyday 
situations, including public speaking at schools and workplaces. Target 
populations include depression, Social Anxiety Disorder (SAD), 
Schizophrenia, Autism Spectrum Disorder (ASD), but also a much larger 
group of different social pathological phenomena.

In this workshop, we invite participants from academia, industry or 
clinical settings to present and discuss social-affective design of 
multimodal training for health.


Call for papers:

The following keywords describe the topics of the workshop.

- Cognitive behavioral therapy

- Motivational interview

- Social skills training:

Social signal processing, Affective computing, Physiological signal 
processing, Virtual agents, Social robotics

All accepted workshop papers will be printed in an adjunct proceedings 
of ICMI. The workshop organizers will oversee the review process for 
their workshops. In order to allow a multidisciplinary setup, it will be 
possible to accept short paper (4 pages + reference) and abstracts (1 
page). We believe this will enable us to have participation from 
disciplines who traditionally do not submit full papers to conferences 
or workshops. We will ask possible external reviewers in addition to 
internal reviewers.

The adjunct of ICMI2020 proceedings will be published as scheduled.


Important dates:

Workshop papers or abstract due: 14 August, 2020.

Notification of acceptance: 4 September, 2020.

Camera-ready paper: 15 September, 2020.


    Workshop date: 26 October 2020.

*


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