LEAP-HRI 2022: Lifelong Learning and Personalization in Long-Term Human-Robot Interaction 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2022) Sapporo (Virtual), Japan, March 7, 2022 |
Conference website | https://leap-hri.github.io/ |
Submission link | https://easychair.org/conferences/?conf=leaphri2022 |
Early-bird submission deadline | January 23, 2022 |
Submission deadline | February 14, 2022 |
Call for Submissions to the HRI 2022 Workshop on Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI)
- Website: https://leap-hri.github.io/
- Workshop: 15:00-19:00 CET on March 7, 2021
- Location: Virtual, as part of the 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2022)
- Manuscript submission site: https://easychair.org/conferences/?conf=leaphri2022
- Contact for submissions: aditiramachandran AT gmail.com
Important Dates
- Early-Bird Submission Deadline: January 23, 2022 - to be able to register at low rate for the workshop
- Early-Bird Notification of Acceptance: January 30, 2022
- General Submission Deadline: February 14, 2022
- General Notification of Acceptance: February 24, 2022
- Camera-ready Deadline: March 3, 2022
Aim and Scope
While most research in Human-Robot Interaction (HRI) studies one-off or short-term interactions in a laboratory setting, a growing body of research focuses on breaking through these boundaries and studying long-term interactions that arise through deployments of robots “in the wild”. Under these conditions, robots need to incrementally learn new concepts or abilities (i.e., “lifelong learning”) to adapt their behaviors within new situations and personalize their interactions with users to maintain their interest and engagement. The second edition of the “Lifelong Learning and Personalization in Long- Term Human-Robot Interaction (LEAP-HRI)” workshop aims to address the developments and challenges in these areas and create a medium for researchers to share their work in progress, present preliminary results, learn from the experience of invited researchers and discuss relevant topics. The workshop focuses on studies on lifelong learning and adaptivity to users, context, environment, and tasks in long-term interactions in a variety of fields (e.g., education, rehabilitation, elderly care, collaborative tasks, service and companion robots).
Workshop Schedule
The virtual workshop will be on March 7, 2021, from 15:00 to 19:00 CET. It will consist of two keynote talks (30-minute presentation, 10-minute Q&A), a panel (1-hour), accepted paper talks (7-minute presentation, 3-minute Q&A), and two breakout sessions (15 minutes each) to follow up on the discussions.
Keynotes
- Ginevra Castellano, Professor in Intelligent Interactive Systems at Uppsala University (Sweden)
- Vincenzo Lomonaco, Assistant Professor at University of Pisa (Italy), Co-Founding President and Lab Director at ContinualAI, Co-Founder and Board Member of AI for People
Panelists
- Natasha Jaques, Senior Research Scientist at Google Brain (USA), and Visiting Postdoctoral Scholar at UC Berkeley (USA)
- Samuel Barrett, Senior Research Scientist at Sony AI (USA)
- Benjamin Burchfiel, Research Scientist at Toyota Research Institute (USA)
- Kate Darling, Research Specialist at MIT Media Lab (USA)
- Kerstin Dautenhahn, Professor, Canada 150 Research Chair in Intelligent Robotics at University of Waterloo (Canada)
The website has the detailed schedule.
List of Topics
We encourage researchers from HRI, robotics, cognitive science, rehabilitation and educational backgrounds to contribute. The workshop welcomes contributions across a wide range of topics including, but not limited to:
- Lifelong personalization and/or adaptation
- Modelling user(s) and/or user behavior(s) in multi-session/long-term HRI
- Modelling robot behavior in multi-session/long-term HRI
- Modelling context in multi-session/long-term HRI
- Agent/robot architectures for personalization/adaptation
- Lifelong (long-term) human-agent or multi-user/multi-agent interactions
- Lifelong (long-term) multimodal interactions
- Continual/lifelong machine learning
- Long-term memory (episodic, semantic, associative)
- Privacy and ethical considerations in lifelong learning/personalization in HRI
Submission Guidelines
We invite papers of 3-4 pages (plus additional pages for references and appendices), including work in progress containing preliminary results, technical reports, case studies, surveys and state-of-the-art research in lifelong learning and personalization in a variety of fields (e.g., education, reha- bilitation, elderly care, collaborative tasks, customer-oriented service and companion robots) and long-term studies. Papers will be reviewed for their relevance, novelty, and scientific and technical soundness.
All manuscripts must be written in English and submitted electronically in PDF format via EasyChair (link given at the top). Authors should use the IEEE template files (US letter): https://www.ieee.org/conferences/publishing/templates.html
Overleaf template: https://www.overleaf.com/latex/templates/ieee-conference-template/grfzhhncsfqn
Submissions do not need to be anonymized for review. The accepted papers will be published on the workshop website, as well as in arXiv.
Organizers
- Bahar Irfan (Coordinator), Research and Development Associate at Evinoks Service Equipment Industry and Commerce Inc. (Turkey)
- Aditi Ramachadran (Publication Chair), CTO of Vän Robotics (USA)
- Samuel Spaulding (Web Chair), PhD student in MIT Media Lab (USA)
- German I. Parisi, Program Director, Artificial Intelligence at IBM Data & AI (USA), and Co-founder and Research Scientist at ContinualAI
- Hatice Gunes, Professor of Affective Intelligence & Robotics at University of Cambridge (UK)
Contact
All questions about submissions should be emailed to aditiramachandran AT gmail.com