Date: March 13, 2023, 14:00 - 18:00 CET

Location: Hybrid (in Stockholm and online), as part of the 18th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2023)

Manuscript submission: https://easychair.org/conferences/?conf=leaphri2023

Questions: hatice.gunes@cl.cam.ac.uk

Important Dates

  • Early-bird submission deadline: January 22, 2023
  • 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.

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. 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

Topics of Interest

We encourage researchers and students 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