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Hatice Gunes <[log in to unmask]>
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Hatice Gunes <[log in to unmask]>
Date:
Thu, 14 Jan 2021 21:11:48 -0000
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** Our apologies for cross postings **

 

 

Call for Submissions to the half-day HRI 2021 Workshop on Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI)

========================================================================================

Website: https://leap-hri.github.io/

Workshop: March 8, 2021 (Morning session)

Location: Virtual, as part of the 16th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2021)


Manuscript submission site: https://easychair.org/conferences/?conf=leaphri2021

Video/demonstration submission to: [log in to unmask] <mailto:[log in to unmask]> 

Mail questions to:  <mailto:[log in to unmask]> [log in to unmask]


*IMPORTANT DATES*


Early-Bird Submission Deadline: January 25, 2021 - to be able to register at low rate for the workshop

Early-Bird Notification of Acceptance: January 30, 2021

General Submission Deadline: February 17, 2021 

General Notification of Acceptance: February 24, 2021

Camera-ready Deadline: March 5, 2021


========================================================================================

*AIM AND SCOPE*

While most of the research in Human-Robot Interaction (HRI) focuses on short-term interactions, long-term interactions require bolder developments and a substantial amount of resources, especially if the robots are deployed in the wild. Robots need to incrementally learn new concepts or abilities in a lifelong fashion to adapt their behaviors within new situations and personalize their interactions with users to maintain their interest and engagement.

 

The “Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI)” Workshop aims to take a leap from the traditional HRI approaches towards addressing 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 extends the topics covered in the “Personalization in Long-Term Human-Robot Interaction (PLOT-HRI)” Workshop at the 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) and “Lifelong Learning for Long-term Human-Robot Interaction (LL4LHRI)” Workshop at the 29th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), and 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, customer-oriented service and companion robots).

 

The virtual workshop will consist of:

 

* Keynotes: Invited researchers Oliver Lemon (Heriot-Watt University, UK) and Michelle Zhou (Juji Inc., USA) will present their experiences and perspectives on the topic.
* Full talks: The authors of the accepted research papers of full length (3-4 pages) will give 7-minute presentations followed by a 3-minute question session.

* Video/demonstration session: Accepted videos and demonstrations that are maximum 3 minutes in length, will be shown during this session.

* Panel: A panel will be organized with leading researchers in HRI and Human-Computer Interaction (HCI) on the topics of interest, namely, Alessandra Sciutti (Istituto Italiano di Tecnologia, Italy), Cristina Conati (University of British Columbia, Canada), Iolanda Leite (KTH Royal Institute of Technology, Sweden) and Ognjen Rudovic (MIT Media Lab, USA) to discuss the key challenges and advancements in these areas. 

 * Break-out session: The workshop attendees will be divided into groups of 4-5 after the panel to follow up on the discussions.


*TARGET AUDIENCE AND 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) 

 * Long-term HRI studies 

 * Development concerns, including deployment, scalability and complexity 

 * Tools and testbeds for evaluation of multi-session/long-term HRI 

 * Methodological challenges for achieving successful long-term HRI 

 * Metrics for evaluating long-term/lifelong HRI 

 * Deployed and/or emerging applications for long-term HRI 

 * Alternative approaches (e.g. interactive program repair) 

 * Philosophical, legal and ethical considerations in long-term HRI 

 

*SUBMISSION*

 

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, rehabilitation, elderly care, collaborative tasks, customer-oriented service and companion robots) and long-term studies. Additionally, we invite video and demonstration submissions of 3 minutes maximum, that are related to the topics of this workshop, and may showcase work, describe conceptual designs and prototypes for innovative ideas for long-term interactions or contain videos from experiments. Papers will be reviewed for their relevance, novelty, and scientific and technical soundness. Similarly, video and demonstration submissions will be reviewed for relevance, novelty, impact and appeal of the presentation. Accepted papers and video/demonstations will require at least one author to be registered for and attend the workshop.


All manuscripts must be written in English and submitted electronically in PDF format via EasyChair (link given at the top). Authors should use the sample-sigconf.tex or interim_layout.docx template files. Submissions do not need to be anonymized for review.

 

Overleaf template (use “sigconf” as document class): https://www.overleaf.com/latex/templates/acm-conference-proceedings-master-template/pnrfvrrdbfwt

ACM templates:  <https://www.acm.org/publications/proceedings-template> https://www.acm.org/publications/proceedings-template

 

The accepted papers will be published on the workshop website, as well as in arXiv. The extended versions of selected papers will be invited for submission to the Frontiers in Robotics and AI research topic “Lifelong Learning and Long-Term Human-Robot Interaction” ( https://www.frontiersin.org/research-topics/14495/lifelong-learning-and-long-term-human-robot-interaction ).

 

Video and demonstration submissions (maximum 3 minutes in length) should be sent by mail to [log in to unmask] <mailto:[log in to unmask]> 

Do not attach the video to the email, i.e., only include a link to the video in the email. The videos should follow HRI 2021 Video guidelines ( https://humanrobotinteraction.org/2021/videos/ ). However, we only require a title, one paragraph abstract and list of authors to be included in the email (i.e., a pdf is not necessary).

 
*ORGANIZERS*

* Bahar Irfan, University of Plymouth, UK

* Aditi Ramachadran, Vän Robotics, USA 

 * Samuel Spaulding, MIT Media Lab, USA

* Sinan Kalkan, Middle East Technical University (METU), Turkey

* German I. Parisi, University of Hamburg, Germany 

 * Hatice Gunes, University of Cambridge, UK

 

 

---

Dr Hatice Gunes

Assoc Professor/Reader in Affective Intelligence & Robotics

Department of Computer Science & Technology

University of Cambridge

Phone: +44 12237-63684

Email:  <mailto:[log in to unmask]> [log in to unmask]

Web:  <https://www.cl.cam.ac.uk/~hg410/> https://www.cl.cam.ac.uk/~hg410/

 


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