<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40"><head><META HTTP-EQUIV="Content-Type" CONTENT="text/html; charset=us-ascii"><meta name=Generator content="Microsoft Word 15 (filtered medium)"><style></style></head><body lang=EN-GB link="#0563C1" vlink="#954F72"><div class=WordSection1>Call for Papers<o:p></o:p><o:p> </o:p>RO-MAN 2020 Workshop on Lifelong Learning for Long-term Human-Robot Interaction (LL4LHRI)<o:p></o:p><o:p> </o:p><a href="https://sites.google.com/view/ll4lhri2020/">https://sites.google.com/view/ll4lhri2020/</a><o:p></o:p><o:p> </o:p>ON 4 September 2020 – VIRTUAL <o:p></o:p>** Extended versions are invited to be submitted to Frontiers Research Topic on Lifelong Learning and Long-Term Human-Robot Interaction: <a href="https://www.frontiersin.org/research-topics/14495/lifelong-learning-and-long-term-human-robot-interaction">https://www.frontiersin.org/research-topics/14495/lifelong-learning-and-long-term-human-robot-interaction</a> **<o:p></o:p><o:p> </o:p>==== Overview ====<o:p></o:p><o:p> </o:p>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.<o:p></o:p><o:p> </o:p>==== Topics ====<o:p></o:p><o:p> </o:p>We invite 6-page regular paper or 2-page position papers, using the RO-MAN 2020 format (see <a href="http://www.google.com/url?q=http%3A%2F%2Fro-man2020.unina.it%2Ffull-papers.php&sa=D&sntz=1&usg=AFQjCNGv1j3McNbg4xz_qtobZyDor0cgfw" target="_blank">http://ro-man2020.unina.it/full-papers.php</a>), 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:<o:p></o:p><o:p> </o:p><![if !supportLists]>§ <![endif]>Personalization and/or adaptation in lifelong HRI<o:p></o:p><![if !supportLists]>§ <![endif]>Modelling user(s) and/or user behavior(s) in multi-session(or long-term) human-robot interactions<o:p></o:p><![if !supportLists]>§ <![endif]>Modelling robot behavior in multi-session (or long-term) HRI<o:p></o:p><![if !supportLists]>§ <![endif]>Modelling context in multi-session (or long-term) HRI<o:p></o:p><![if !supportLists]>§ <![endif]>Agent/robot architectures for personalization / adaptation<o:p></o:p><![if !supportLists]>§ <![endif]>Lifelong (long-term) human-agent interactions<o:p></o:p><![if !supportLists]>§ <![endif]>Lifelong (long-term) multimodal interaction<o:p></o:p><![if !supportLists]>§ <![endif]>Lifelong (long-term) multi-user/multi-agent interaction<o:p></o:p><![if !supportLists]>§ <![endif]>Continual/lifelong machine learning<o:p></o:p><![if !supportLists]>§ <![endif]>Development concerns, including deployment, scalability and complexity<o:p></o:p><![if !supportLists]>§ <![endif]>Tools and testbeds for evaluation of multi-session or long-term HRI<o:p></o:p><![if !supportLists]>§ <![endif]>Methodological challenges for achieving successful long-term HRI<o:p></o:p><![if !supportLists]>§ <![endif]>Metrics for evaluating long-term/lifelong HRI<o:p></o:p><![if !supportLists]>§ <![endif]>Deployed and/or emerging applications for long-term HRI (e.g., education, entertainment, edutainment, elderly care, therapy, rehabilitation, etc.)<o:p></o:p><![if !supportLists]>§ <![endif]>User studies (longitudinal HRI studies, long-term user experience, acceptability, preferences, etc.)<o:p></o:p><![if !supportLists]>§ <![endif]>Philosophical, legal and ethical considerations of long-term learning and adaptation in HRI<o:p></o:p><o:p> </o:p><o:p> </o:p>==== Invited Speakers ====<o:p></o:p><o:p> </o:p>Lola Canamero<o:p></o:p>Adaptive Systems, School of Computer Science, University of Hertfordshire, UK<o:p></o:p><o:p> </o:p>Neil Lawrence<o:p></o:p>Dept. of Computer Science & Technology, University of Cambridge, UK<o:p></o:p><o:p> </o:p>Zoe Kourtzi<o:p></o:p>Department of Psychology, University of Cambridge, UK<o:p></o:p><o:p> </o:p>==== Organizers ====<o:p></o:p><o:p> </o:p>Hatice Gunes<o:p></o:p>Dept. of Computer Science & Technology, University of Cambridge (UK)<o:p></o:p><o:p> </o:p>Sinan Kalkan<o:p></o:p>Dept. of Computer Engineering, METU (Turkey)<o:p></o:p>Dept. of Computer Science & Technology, University of Cambridge (UK)<o:p></o:p><o:p> </o:p>German I. Parisi<o:p></o:p>Dept. of Informatics, University of Hamburg (Germany)<o:p></o:p><o:p> </o:p>You can contact the organizers at ll4lhri2020_organizers [at] <a href="http://googlegroups.com">googlegroups.com</a><o:p></o:p><o:p> </o:p>==== Important dates ====<o:p></o:p><o:p> </o:p>Paper submission: 20 July 2020<o:p></o:p>Notification: 10 August 2020<o:p></o:p>Camera-ready: 20 August 2020<o:p></o:p>Workshop: 4 September 2020<o:p></o:p><o:p> </o:p><o:p> </o:p>==== Workshop website ====<o:p></o:p><o:p> </o:p><a href="https://sites.google.com/view/ll4lhri2020/">https://sites.google.com/view/ll4lhri2020/</a><o:p></o:p><o:p> </o:p>==== Paper submission ====<o:p></o:p><o:p> </o:p>Paper template and length: RO-MAN2020 format and guidelines.<o:p></o:p><o:p> </o:p>Submission link: <a href="https://easychair.org/my/conference?conf=ll4lhri">https://easychair.org/my/conference?conf=ll4lhri</a><o:p></o:p><o:p> </o:p><o:p> </o:p>---<o:p></o:p>Dr Hatice Gunes<o:p></o:p>Assoc Professor/Reader in Affective Intelligence & Robotics<o:p></o:p>Department of Computer Science & Technology<o:p></o:p>University of Cambridge<o:p></o:p>Phone: +44 12237-63684<o:p></o:p>Email: <a href="mailto:hatice.gunes@cl.cam.ac.uk">hatice.gunes@cl.cam.ac.uk</a><o:p></o:p>Web: <a href="https://www.cl.cam.ac.uk/~hg410/">https://www.cl.cam.ac.uk/~hg410/</a><o:p></o:p></div></body></html>