<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Vouloutsi, Vasiliki</style></author><author><style face="normal" font="default" size="100%">Munoz, Maria Blancas</style></author><author><style face="normal" font="default" size="100%">Grechuta, Klaudia</style></author><author><style face="normal" font="default" size="100%">Lallée, Stéphane</style></author><author><style face="normal" font="default" size="100%">Duff, Armin</style></author><author><style face="normal" font="default" size="100%">Ysard Llobet Puigbo, Jordi</style></author><author><style face="normal" font="default" size="100%">Verschure, Paul F.M.J.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A new biomimetic approach towards educational robotics: the Distributed Adaptive Control of a Synthetic Tutor Assistant</style></title><secondary-title><style face="normal" font="default" size="100%">4th International Symposium on New Frontiers in human-Robot Interaction</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">04/2015</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.cs.kent.ac.uk/events/2015/AISB2015/proceedings/hri/20-Vouloutsi-anewbiomimetic.pdf</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Many fields can profit from the introduction of robots, including that of education. In this paper, our main focus is the advancement of the Synthetic Tutor Assistant (STA), a robot that will act as a peer for knowledge transfer.We propose a theory of a tutoring robotic application that is based on the Distributed Adaptive Control (DAC) theory: a layered architecture that serves as the framework of the proposed application. We describe the main components of the STA and we evaluate the implementation within an educational scenario.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Vouloutsi, Vasiliki</style></author><author><style face="normal" font="default" size="100%">Grechuta, Klaudia</style></author><author><style face="normal" font="default" size="100%">Lallée, Stéphane</style></author><author><style face="normal" font="default" size="100%">Verschure, Paul F.M.J.</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Duff, Armin</style></author><author><style face="normal" font="default" size="100%">Lepora, NathanF.</style></author><author><style face="normal" font="default" size="100%">Mura, Anna</style></author><author><style face="normal" font="default" size="100%">Prescott, TonyJ.</style></author><author><style face="normal" font="default" size="100%">Verschure, PaulF.M.J.</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">The Influence of Behavioral Complexity on Robot Perception</style></title><secondary-title><style face="normal" font="default" size="100%">Biomimetic and Biohybrid Systems, Third International Conference, Living Machines 2014, Milan, Italy, July 30 – August 1, 2014. Proceedings</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></tertiary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">allostatic control</style></keyword><keyword><style  face="normal" font="default" size="100%">behavioral modulation</style></keyword><keyword><style  face="normal" font="default" size="100%">human-robot interaction</style></keyword><keyword><style  face="normal" font="default" size="100%">social robots</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2014</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1007/978-3-319-09435-9\_29</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer International Publishing</style></publisher><volume><style face="normal" font="default" size="100%">8608</style></volume><pages><style face="normal" font="default" size="100%">332–343</style></pages><isbn><style face="normal" font="default" size="100%">978-3-319-09434-2</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Since robots’ capabilities increase, they will soon be present in our daily lives and will be required to interact with humans in a natural way. Furthermore, robots will need to be removed from controlled environments and tested in public places where untrained people will be able to freely interact with them. Such needs raise a number of issues: what kind of behaviors are considered important in promoting interaction and how these behaviors affect people’s perception regarding the robot in terms of anthropomorphism, likeability, animacy and perceived intelligence. In this paper, we propose a motivational and emotional system that drives the robot’s behavior and test it against six interaction scenarios of varying complexity. In addition, we evaluate our system in two different environments: a controlled (laboratory) environment and a public space. Results suggest that the perception of the robot significantly changes depending on the complexity of the interaction but does not change depending on the environment.&lt;/p&gt;
</style></abstract></record></records></xml>