SS4HRI: Social Signal Modeling for Human-Robot Interaction 2024 Boulder, CO, United States, March 11, 2024 |
Conference website | https://sites.google.com/cam.ac.uk/ss4hri |
Submission link | https://easychair.org/conferences/?conf=ss4hri |
Early-bird submission deadline | February 2, 2024 |
Submission deadline | February 16, 2024 |
Call for Submissions to the HRI 2024 Workshop on Social Signal Modeling for HRI (SS4HRI)
Website: https://sites.google.com/cam.ac.uk/ss4hri/
Workshop: 1:00-5:00pm MT on March 11, 2024
Location: Hybrid (Boulder, Colorado and online), as part of ACM/IEEE International Conference on Human-Robot Interaction (HRI 2024)
Manuscript submission site: https://easychair.org/my/conference?conf=ss4hri
Contact for submissions: mstiber [AT] jhu.edu
Important Dates
- Early-bird submission deadline:
January 19, 2024February 2, 2024 - Early-bird notification of acceptance:
January 26, 2024February 7, 2024 - General submission deadline: February 12, 2024
- General notification of acceptance: February 19, 2024
- Camera-ready deadline: February 26, 2024
All deadlines are at 23:59 Anywhere on Earth time.
Overview and Aim
This workshop focuses on the understanding and modeling of social signals to create human-aware HRI. The three fundamental themes are: understanding social signals (gaining insights into human internal states), modeling social signals for the generation of a human's mental state (translating social signals into actionable computational models), and operationalizing human models for human-aware applications (integrating these cognitive models into robotic systems to develop new human-aware capabilities).
The invited speakers, presentations, and discussions will focus on the social science background of social signals, acquisition and availability of benchmarking datasets, social signal modeling techniques, integration of models into real-time systems, usage of these models—such as error management, personalization, and mental model alignment—and applications of these models (i.e., healthcare, education, manufacturing). We expect these topics to demonstrate how modeling social signals, both explicit and implicit, is necessary for fluent, intuitive and trustworthy interactions.
The aim is to bring together researchers who are interested in advancing the understanding of social signal modeling and its application in HRI systems, designing and development of robotic systems, and discussing data-driven approaches to modeling and interpreting social signals. We want to encourage an interdisciplinary approach and include participants involved in HRI, machine learning, and affective computing.
List of Topics
Topics included in the workshop, but not limited to, are the following:
- Identifying and Understanding Social Signals
- Social science perspective to social signals
- Behavioral signal modalities
- Social signal datasets and repositories
- Modeling Social Signals for developing human state estimation
- Modeling techniques
- Datasets and benchmarking
- Public code and repositories
- Operationalizing Human State Models for human-aware HRI
- Usage of social signal models for:
- Generalization
- Personalization
- Mental model alignment
- Robot error management and repair
- Long-term Interactions
- Applications of social signal models for:
- Home Assistance
- Education
- Healthcare
- Manufacturing
- Retail and Warehouse
- Real-time system integration
- Usage of social signal models for:
- Future directions and opportunities
Submission Guidelines
We invite short papers of 3-4 pages (excluding references) or 2-page extended abstracts. Submissions do not need to be anonymized for review.
Please use the general ACM SIG format (“sigconf”, double column format), not the SIGCHI format.
Templates: https://www.acm.org/publications/proceedings-template
Overleaf template: https://www.overleaf.com/latex/templates/acm-conference-proceedings-primary-article-template/wbvnghjbzwpc (use the “sigconf” document class, rather than the “manuscript,screen,review” document class)
Organizers
- Maia Stiber, PhD Candidate at Johns Hopkins University (USA)
- Micol Spitale, Assistant Professor at the Politecnico di Milano (Italy) and Visiting Affiliated Researcher at University of Cambridge (UK)
- Hatice Gunes, Full Professor at University of Cambridge (UK)
- Chien-Ming Huang, Assistant Professor at Johns Hopkins University (USA)
Contact
All questions about submissions should be emailed to mstiber [AT] jhu.edu