[agents] [CfP] IEEE RO-MAN'20 workshop: Lifelong Learning for Long-term HRI

[Hatice Gunes]

Call for Papers

 

RO-MAN 2020 Workshop on Lifelong Learning for Long-term Human-Robot
Interaction (LL4LHRI)

 

https://sites.google.com/view/ll4lhri2020/

 

ON 4 September 2020 - VIRTUAL 

** Extended versions are invited to be submitted to Frontiers Research Topic
on Lifelong Learning and Long-Term Human-Robot Interaction:
https://www.frontiersin.org/research-topics/14495/lifelong-learning-and-long
-term-human-robot-interaction **

 

==== Overview ====

 

Lifelong learning is an essential requirement for social robots since it
facilitates learning new concepts, situations, or abilities so that the
robots can "appropriately adapt [their] behavior to the social context" as
well as other contexts that may arise. The main objective of this first
workshop is to bring together a multidisciplinary group of researchers to
identify and address key challenges for studying long-term / lifelong
learning and its relevant aspects for social robotics in both lab and field.

 

==== Topics ====

 

We invite 6-page regular paper or 2-page position papers, using the RO-MAN
2020 format (see http://ro-man2020.unina.it/full-papers.php
<http://www.google.com/url?q=http%3A%2F%2Fro-man2020.unina.it%2Ffull-papers.
php&sa=D&sntz=1&usg=AFQjCNGv1j3McNbg4xz_qtobZyDor0cgfw> ), from a wide range
of theoretical, experimental and methodological approaches, for studying
long-term/lifelong and longitudinal human-robot interaction. Suggested
workshop topics include, but are not limited to:

 

* Personalization and/or adaptation in lifelong HRI

* Modelling user(s) and/or user behavior(s) in multi-session(or long-term)
human-robot interactions

* Modelling robot behavior in multi-session (or long-term) HRI

* Modelling context in multi-session (or long-term) HRI

* Agent/robot architectures for personalization / adaptation

* Lifelong (long-term) human-agent interactions

* Lifelong (long-term) multimodal interaction

* Lifelong (long-term) multi-user/multi-agent interaction

* Continual/lifelong machine learning

* Development concerns, including deployment, scalability and complexity

* Tools and testbeds for evaluation of multi-session or 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 (e.g., education,
entertainment, edutainment, elderly care, therapy, rehabilitation, etc.)

* User studies (longitudinal HRI studies, long-term user experience,
acceptability, preferences, etc.)

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

 

 

==== Invited Speakers ====

 

Lola Canamero

Adaptive Systems, School of Computer Science, University of Hertfordshire,
UK

 

Neil Lawrence

Dept. of Computer Science & Technology, University of Cambridge, UK

 

Zoe Kourtzi

Department of Psychology, University of Cambridge, UK

 

==== Organizers ====

 

Hatice Gunes

Dept. of Computer Science & Technology, University of Cambridge (UK)

 

Sinan Kalkan

Dept. of Computer Engineering, METU (Turkey)

Dept. of Computer Science & Technology, University of Cambridge (UK)

 

German I. Parisi

Dept. of Informatics, University of Hamburg (Germany)

 

You can contact the organizers at ll4lhri2020_organizers [at]
googlegroups.com <http://googlegroups.com> 

 

==== Important dates ====

 

Paper submission: 20 July 2020

Notification: 10 August 2020

Camera-ready: 20 August 2020

Workshop: 4 September 2020

 

 

==== Workshop website ====

 

https://sites.google.com/view/ll4lhri2020/

 

==== Paper submission ====

 

Paper template and length: RO-MAN2020 format and guidelines.

 

Submission link: https://easychair.org/my/conference?conf=ll4lhri

 

 

---

Dr Hatice Gunes

Assoc Professor/Reader in Affective Intelligence & Robotics

Department of Computer Science & Technology

University of Cambridge

Phone: +44 12237-63684

Email:  <mailto:hatice.gunes at cl.cam.ac.uk> hatice.gunes at cl.cam.ac.uk

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

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