LEAP-HRI 2023: Lifelong Learning and Personalization in Long-Term Human-Robot Interaction 2023 Hybrid Stockholm, Sweden, March 13, 2023 |
Conference website | https://leap-hri.github.io/ |
Submission link | https://easychair.org/conferences/?conf=leaphri2023 |
Early-bird submission deadline | January 22, 2023 |
Submission deadline | February 19, 2023 |
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: 14:00-18:00 CET on March 13, 2023
- Location: Hybrid (Stockholm and online), as part of the 18th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2023)
- Manuscript submission site: https://easychair.org/conferences/?conf=leaphri2023
- Contact for submissions: hatice.gunes AT cl.cam.ac.uk
Important Dates
- Early-Bird Submission Deadline: January 22, 2023 - to be able to register at a low rate for the workshop
- Early-Bird Notification of Acceptance: January 31, 2023
- General Submission Deadline: February 19, 2023
- General Notification of Acceptance: February 28, 2023
- Camera-ready Deadline: March 9, 2023
All deadlines are at 23:59 Anywhere on Earth time.
Aim and Scope
Adaptation and personalization are critical elements when modeling robot behaviors toward users in real-world settings. Multiple aspects of the user need to be taken into consideration in order to personalize the interaction, such as their personality, emotional state, intentions, and actions. While this information can be obtained a priori through self-assessment questionnaires or in real-time during the interaction through user profiling, behaviors and preferences can evolve in long-term interactions. Thus, gradually learning new concepts or skills (i.e., “lifelong learning”) both for the users and the environment is crucial to adapt to new situations and personalize interactions with the aim of maintaining their interest and engagement. In addition, adapting to individual differences autonomously through lifelong learning allows for inclusive interactions with all users with varying capabilities and backgrounds. The third edition1 of the “Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI)” workshop aims to gather and present interdisciplinary insights from a variety of fields, such as education, rehabilitation, elderly care, service and companion robots, for lifelong robot learning and adaptation to users, context, environment, and activities in long-term interactions. The workshop aims to promote a common ground among the relevant scientific communities through invited talks and indepth discussions via paper presentations, break-out groups, and a scientific debate. In line with the HRI 2023 conference theme, “HRI for all”, our workshop theme is “adaptivity for all” to encourage HRI theories, methods, designs, and studies for lifelong learning, personalization, and adaptation that aims to promote inclusion and diversity in HRI.
Workshop Schedule
The workshop will be hybrid (in Stockholm and online) on March 13, 2023, from 14:00 to 18:00 CET. It will consist of two keynote talks (30-minute presentation, 10-minute Q&A), a debate (1-hour), accepted paper talks (7-minute presentation, 3-minute Q&A), and a breakout session (15 minutes) to follow up on the discussions. The website has a detailed schedule.
Keynotes
- Pablo Barros, Senior Researcher at Sony R&D Center (Belgium)
- Dorsa Sadigh, Assistant Professor at Stanford University (USA)
Debaters
- Brian Scassellati, Professor at Yale University (USA)
- Séverin Lemaignan, Senior Scientist at PAL Robotics (Spain)
- Eric Eaton, Research Associate Professor at University of Pennsylvania (USA)
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
- Lifelong learning or personalization for inclusivity in HRI
- 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-ofthe- art research in lifelong learning and personalization in a variety of fields (e.g., education, rehabilitation, elderly care, collaborative tasks, customer-oriented service and companion robots) and longterm studies. We will encourage submissions to address the theme of the workshop “Adaptivity for All”. Papers will be reviewed for their relevance, novelty, and scientific and technical soundness. The submissions will be asked to follow the guidelines established by HRI2023.
Submissions do not need to be anonymized for review. All manuscripts must be written in English and submitted electronically in PDF format via EasyChair (link given at the top). The accepted papers will be published on the workshop website, as well as in arXiv.
Authors should use ACM SIG format (“sigconf”, double column) template files (US letter): https://www.acm.org/publications/proceedings-template
Overleaf template (use “sigconf” as document class): https://www.overleaf.com/latex/templates/acm-conference-proceedings-primary-article-template/wbvnghjbzwpc
Organizers
- Bahar Irfan (Coordinator), Postdoctoral Researcher and Digital Futures Fellow at KTH Royal Institute of Technology (Sweden)
- Aditi Ramachandran (Design Chair), CTO of Vän Robotics (USA)
- Mariacarla Staffa (Web Chair), Assistant Professor at University of Naples Parthenope (Italy)
- Hatice Gunes (Publication Chair), Professor of Affective Intelligence & Robotics at University of Cambridge (UK)
Contact
All questions about submissions should be emailed to hatice.gunes AT cl.cam.ac.uk