@proceedings {134, title = {Damasio{\textquoteright}s Somatic Marker for Social Robotics: Preliminary Implementation and Test}, journal = { Living Machines 2015 . The 4th International Conference on Biomimetic and Biohybrid Systems. }, year = {2015}, month = {July 2015}, publisher = {Biomimetic and Biohybrid Systems, LNAI 9222, (pp. 348{\textendash}353). Springer.}, address = {Barcelona, Spain}, url = {http://link.springer.com/chapter/10.1007\%2F978-3-319-22979-9_31}, author = {Cominelli, L., and Mazzei, D., and Pieroni, M., and Zaraki, A., and Garofalo, R., and De Rossi, D.,} } @proceedings {128, title = {Effects of the Robot{\textquoteright}s Role on Human-Robot Interaction in an Educational Scenario.}, journal = { Living Machines 2015 . The 4th International Conference on Biomimetic and Biohybrid Systems. }, year = {2015}, month = {July 2015}, publisher = {Biomimetic and Biohybrid Systems, LNAI 9222, (pp. 348{\textendash}353). Springer.}, address = {Barcelona, Spain}, url = {http://link.springer.com/chapter/10.1007\%2F978-3-319-22979-9_31}, author = {Blancas, M., and Vouloutsi, V., and Grechuta, K., and Verschure, Paul F.M.J.,} } @conference {129, title = {Effects Of The Robot{\textquoteright}s Role On Human-Robot Interaction In An Educational Scenario}, booktitle = {2nd International Summer School on Social Human-Robot Interaction}, year = {2015}, url = {https://hrisummerschool15.wordpress.com/}, author = {Blancas, M., and Vouloutsi, V., and Grechuta, K., and Verschure, Paul F.M.J.,} } @conference {120, title = {A new biomimetic approach towards educational robotics: the Distributed Adaptive Control of a Synthetic Tutor Assistant}, booktitle = {4th International Symposium on New Frontiers in human-Robot Interaction}, year = {2015}, month = {04/2015}, abstract = {

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.

}, url = {http://www.cs.kent.ac.uk/events/2015/AISB2015/proceedings/hri/20-Vouloutsi-anewbiomimetic.pdf}, author = {Vouloutsi, Vasiliki and Munoz, Maria Blancas and Grechuta, Klaudia and Lall{\'e}e, St{\'e}phane and Duff, Armin and Ysard Llobet Puigbo, Jordi and Verschure, Paul F.M.J.} } @article {81, title = {Designing and Evaluating a Social Gaze-Control System for a Humanoid Robot}, journal = {Human-Machine Systems, IEEE Transactions on, }, volume = {44}, year = {2014}, month = {04/2014}, pages = {157-168}, chapter = {157}, abstract = {

This paper describes a context-dependent social gaze-control system implemented as part of a humanoid social robot. The system enables the robot to direct its gaze at multiple humans who are interacting with each other and with the robot. The attention mechanism of the gaze-control system is based on features that have been proven to guide human attention: nonverbal and verbal cues, proxemics, the visual field of view, and the habituation effect. Our gaze-control system uses Kinect skeleton tracking together with speech recognition and SHORE-based facial expression recognition to implement the same features. As part of a pilot evaluation, we collected the gaze behavior of 11 participants in an eye-tracking study. We showed participants videos of two-person interactions and tracked their gaze behavior. A comparison of the human gaze behavior with the behavior of our gaze-control system running on the same videos shows that it replicated human gaze behavior 89\% of the time.

}, doi = {10.1109/THMS.2014.2303083}, url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true\&arnumber=6736067}, author = {Zaraki, A and Mazzei, D and Giuliani, M and De Rossi, D} } @proceedings {Vouloutsi2014, title = {The Influence of Behavioral Complexity on Robot Perception}, journal = {Biomimetic and Biohybrid Systems, Third International Conference, Living Machines 2014, Milan, Italy, July 30 {\textendash} August 1, 2014. Proceedings}, volume = {8608}, year = {2014}, pages = {332{\textendash}343}, publisher = {Springer International Publishing}, abstract = {

Since robots{\textquoteright} 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{\textquoteright}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{\textquoteright}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.

}, keywords = {allostatic control, behavioral modulation, human-robot interaction, social robots}, isbn = {978-3-319-09434-2}, doi = {10.1007/978-3-319-09435-9\_29}, url = {http://dx.doi.org/10.1007/978-3-319-09435-9\_29}, author = {Vouloutsi, Vasiliki and Grechuta, Klaudia and Lall{\'e}e, St{\'e}phane and Verschure, Paul F.M.J.}, editor = {Duff, Armin and Lepora, NathanF. and Mura, Anna and Prescott, TonyJ. and Verschure, PaulF.M.J.} } @proceedings {102, title = {An RGB-D based social behavior interpretation system for a humanoid social robot}, journal = {Robotics and Mechatronics (ICRoM), 2014 Second RSI/ISM International Conference on }, year = {2014}, month = {Oct/2014}, pages = {185-190}, abstract = {
Humanoid social robots that interact with people need to be capable of interpreting the social behavior of their interaction partners in order to respond in a socially appropriate way. In this paper, we present a social behavior interpretation system that enables a humanoid robot to recognize human social behavior by analyzing communicative signals. The system receives the constructed RGB-D scene from a Kinect sensor, extracts information about body gesture and head pose from the scene using Microsoft Kinect SDK, and recognizes eight human social behaviors using a Hidden Markov Model (HMM). We trained the eight-state HMM with a corpus of 35 recorded human-human interaction scenes. The evaluation of the system shows a weighted average recognition rate of 81\% for all states.

}, doi = {10.1109/ICRoM.2014.6990898}, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=6990898\&isnumber=6990766}, author = {Zaraki, Abolfazl and Giuliani, M and Dehkordi, MaryamBanitalebi and D{\textquoteright}ursi, A. and De Rossi, Danilo} } @article {113, title = {What is it like to behold an expressive humanoid face?}, journal = {Frontiers in bioengineering and biotechnology}, year = {2014}, author = {Lazzeri, N. and Mazzei, D. and Greco, A. and Rotesi, A. and Lanat{\`a}, A. and De Rossi, E. D.} }