Call for Papers
(Virtual) Workshop on Social Affective Multimodal Interaction for Health (SAMIH)
To be held in conjunction with the 22nd ACM International Conference on Multimodal Interaction
29 October 2020
ICMI 2020: http://icmi.acm.org/2020/index.php?id=home
Workshop: https://sites.google.com/view/wsamih/home
Workshop papers or abstract due: 23 August, 2020
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)
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.
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.
The organisers of the workshop are considering guest editing a journal special issue on the topic of the workshop to which the authors of selected articles will be invited to submit extended versions of their workshop article. This will be confirmed after the workshop.
Important dates:
Workshop papers or abstract due: new deadline: 23 August, 2020
Notification of acceptance: 4 September, 2020
Camera-ready paper: 15 September, 2020
Workshop date: 29 October 2020