[iva] ICMI Workshop on Social Affective Multimodal Interaction for Health
Catherine PELACHAUD
catherine.pelachaud at upmc.fr
Tue Jul 7 14:53:12 CEST 2020
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*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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