<html><head></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><div><br></div><div>IEEE Transactions on Autonomous Mental Development<br>Special Issue on<br>Behavior Understanding and Developmental Robotics<br><br>Final Call for Papers<br><br>We solicit papers that inspect scientific, technological and application<br>challenges that arise from the mutual interaction of developmental robotics<br>and computational human behavior understanding. While some of the existing<br>techniques of multimodal behavior analysis and modeling can be readily<br>re-used for robots, novel scientific and technological challenges arise<br>when one aims to achieve human behavior understanding in the context of<br>natural and life-long human-robot interaction. We seek contributions that<br>deal with the two sides of this problem:<br><br>1- Behavior analysis for developmental robotics: Robots need to be capable<br>to learn dynamically and incrementally how to interpret, and thus<br>understand multimodal human behavior. This includes for example learning<br>the meaning of new linguistic constructs used by a human, learning to<br>interpret the emotional state of particular users from para-linguistic or<br>non-verbal behavior, characterizing properties of the interaction or<br>learning to guess the intention, and potentially the structure of goals of<br>a human based on its overt behavior. Furthermore, robots need in particular<br>to be capable of learning new tasks through interaction with humans, for<br>example using imitation learning or learning by demonstration. This heavily<br>involves the capacity for learning how to decode teaching behavior,<br>including linguistic and non-linguistic cues, feedback and guidance<br>provided by humans, as well as inferring reusable primitives in human<br>behavior.<br><br>2- Behavior analysis through developmental robotics: Developmental social<br>robots can offer stimulating opportunities for improving scientific<br>understanding of human behavior, and especially to allow a deeper analysis<br>of the semantics and structure of human behavior. Humans tend to interpret<br>the meaning and the structure of other's behaviors in terms of their own<br>action repertoire, which acts as a strong helping prior for this complex<br>inference problem. Since robots are also embodied and have an action<br>repertoire, this can be used leveraged as an experimental and theoretical<br>tool to investigate human behavior, and in particular, the development and<br>change of behavior over time.<br><br>Topics include the following, among others:<br>Adaptive human-robot interaction<br>Action and language understanding<br>Sensing human behavior<br>Incremental learning of human behavior<br>Learning by demonstration<br>Intrinsic motivation<br>Robotic platforms for behavior analysis<br>Multimodal interaction<br>Human-robot games<br>Semiotics for robots<br>Social and affective signals<br>Imitation<br><br>Contributions can exemplify diverse approaches to behavior analysis, but<br>the relevance to developmental robotics should be clear and explicitly<br>argumented. In particular, it should involve one of the following: 1)<br>incremental and developmental learning techniques, 2) techniques that allow<br>adapting to changes in human behavior, 3) techniques that study evolution<br>and change in human behavior. Interested parties are encouraged to contact<br>the editors with questions about the suitability of a manuscript.<br><br>Editors:<br>• Albert Ali Salah, Bogaziçi University,<br><a href="mailto:salah@boun.edu.tr">salah@boun.edu.tr</a><br><br>• Pierre-Yves Oudeyer, INRIA,<br><a href="mailto:pierre-yves.oudeyer@inria.fr">pierre-yves.oudeyer@inria.fr</a><br><br>• Çetin Meriçli, Carnegie Mellon University,<br><a href="mailto:cetin@cmu.edu">cetin@cmu.edu</a><br><br>• Javier Ruiz-del-Solar, Universidad de Chile,<br><a href="mailto:jruizd@ing.uchile.cl">jruizd@ing.uchile.cl</a><br><br><br>Three kinds of submissions are possible:<br>• Regular papers, up to 15 double column pages, should describe new<br>empirical findings that utilize innovative methodological and/or analytic<br>techniques.<br>• Correspondence papers, up to 8 double column pages, can focus on a<br>limited set of relevant aspects in depth.<br>• Survey papers, describing classes of behavior analysis approaches in<br>developmental robotics. Before submitting a survey paper, the authors<br>should contact the guest editors.<br><br>Instructions for authors:<br><br><a href="http://cis.ieee.org/ieee-transactions-on-autonomous-mental-development.html">http://cis.ieee.org/ieee-transactions-on-autonomous-mental-development.html</a><br><br>We are accepting submissions through Manuscript Central at<br><br><a href="http://mc.manuscriptcentral.com/tamd-ieee">http://mc.manuscriptcentral.com/tamd-ieee</a><br>(please select “Human Behavior<br>Understanding” as the submission type)<br>When submitting your manuscript, please also cc it to the editors.<br><br>Timeline:<br><br>15 May 2013: Deadline for paper submission (Extended)<br>15 July 2013: Notification of the first round of review results<br>15 October 2013: Final version<br>20 October 2013: Electronic publication<br>December 2013: Printed publication<br></div><div><br></div><div>Pierre-Yves Oudeyer,</div><div><br></div><div>Research director, Inria</div><div>Head of Flowers project-team</div><div>Inria and Ensta ParisTech, France</div><div><a href="http://flowers.inria.fr">http://flowers.inria.fr</a></div><div><a href="http://www.pyoudeyer.com">http://www.pyoudeyer.com</a></div><div><br></div><div><br></div></body></html>