%0 Journal Article %J Frontiers in Robotics and AI %D 2022 %T The Long-Term Efficacy of “Social Buffering” in Artificial Social Agents: Contextual Affective Perception Matters %A Imran Khan %A Cañamero, L. %B Frontiers in Robotics and AI %I Frontiers in Robotics and AI %V 9 %P pp. 1 - 24 %8 09/2022 %G eng %U https://doi.org/10.3389/frobt.2022.699573 %N article 699573 %9 Original Research Article %R 10.3389/frobt.2022.699573 %0 Conference Paper %B Proc. New Friends 2015 %D 2015 %T Let’s Be Friends: Perception of a Social Robotic Companion for children with T1DM %A Kruijff-Korbayová, Ivana %A Oleari, Elettra %A Pozzi, Clara %A Sacchitelli, Francesca %A Bagherzadhalimi, Anahita %A Bellini, Sara %A Kiefer, Bernd %A Racioppa, Stefania %A Coninx, Alexandre %A Paul E. Baxter %A Bierman, Bert %A Henkemans, Olivier Blanson %A Mark A. Neerincx %A Rosemarijn Looije %A Yiannis Demiris %A Espinoza, Raquel Ros %A Mosconi, Marco %A Cosi, Piero %A Remi Humbert %A Lola Cañamero %A Hichem Sahli %A Joachim de Greeff %A James Kennedy %A Robin Read %A Lewis, Matthew %A Antoine Hiolle %A Giulio Paci %A Sommavilla, Giacomo %A Tesser, Fabio %A Athanasopoulos, Georgios %A Patsis, Georgios %A Verhelst, Werner %A Alberto Sanna %A Tony Belpaeme %X We describe the social characteristics of a robot developed to support children with Type 1 Diabetes Mellitus (T1DM) in the process of education and care. We evaluated the perception of the robot at a summer camp where diabetic children aged 10-14 experienced the robot in group interactions. Children in the intervention condition additionally interacted with it also individually, in one-to-one sessions featuring several game-like activities. These children perceived the robot significantly more as a friend than those in the control group. They also readily engaged with it in dialogues about their habits related to healthy lifestyle as well as personal experiences concerning diabetes. This indicates that the one-on-one interactions added a special quality to the relationship of the children with the robot. %B Proc. New Friends 2015 %C Almere, The Netherlands %P 32–33 %8 10/2015 %G eng %U https://mheerink.home.xs4all.nl/pdf/ProceedingsNF2015-3.pdf %0 Conference Paper %B Proc. ACM/IEEE Human-Robot Interaction conference (HRI-2011) (Robots with Children Workshop) %D 2011 %T Long-Term Human-Robot Interaction with Young Users %A Paul E. Baxter %A Tony Belpaeme %A Lola Cañamero %A Cosi, Piero %A Yiannis Demiris %A Valentin Enescu %A Antoine Hiolle %A Kruijff-Korbayová, Ivana %A Rosemarijn Looije %A Nalin, Marco %A Mark A. Neerincx %A Hichem Sahli %A Giocomo Sommavilla %A Tesser, Fabio %A Rachel Wood %X Artificial companion agents have the potential to combine novel means for effective health communication with young patients support and entertainment. However, the theory and practice of long-term child-robot interaction is currently an underdeveloped area of research. This paper introduces an approach that integrates multiple functional aspects necessary to implement temporally extended human-robot interaction in the setting of a paediatric ward. We present our methodology for the implementation of a companion robot which will be used to support young patients in hospital as they learn to manage a lifelong metabolic disorder (diabetes). The robot will interact with patients over an extended period of time. The necessary functional aspects are identified and introduced, and a review of the technical challenges involved is presented. %B Proc. ACM/IEEE Human-Robot Interaction conference (HRI-2011) (Robots with Children Workshop) %C Lausanne, Switzerland %G eng %U https://www.researchgate.net/publication/228470784_Long-term_human-robot_interaction_with_young_users %0 Journal Article %J Adaptive Behavior %D 2010 %T Learning Affordances of Consummatory Behaviors: Motivation-Driven Adaptive Perception %A Ignasi Cos %A Lola Cañamero %A Gillian M Hayes %X This article introduces a formalization of the dynamics between sensorimotor interaction and homeostasis, integrated in a single architecture to learn object affordances of consummatory behaviors. We also describe the principles necessary to learn grounded knowledge in the context of an agent and its surrounding environment, which we use to investigate the constraints imposed by the agent’s internal dynamics and the environment. This is tested with an embodied, situated robot, in a simulated environment, yielding results that support this formalization. Furthermore, we show that this methodology allows learned affordances to be dynamically redefined, depending on object similarity, resource availability, and the rhythms of the agent’s internal physiology. For example, if a resource becomes increasingly scarce, the value assigned by the agent to its related effect increases accordingly, encouraging a more active behavioral strategy to maintain physiological stability. Experimental results also suggest that a combination of motivation-driven and affordance learning in a single architecture should simplify its overall complexity while increasing its adaptivity. %B Adaptive Behavior %I SAGE %V 18 %P 285–314 %G eng %U https://journals.sagepub.com/doi/10.1177/1059712310375471 %N 3-4 %R 10.1177/1059712310375471 %0 Conference Paper %B Proc. 9th International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems (EpiRob 2009) %D 2009 %T Learning Affective Landmarks %A Antoine Hiolle %A Lola Cañamero %E Lola Cañamero %E Pierre-Yves Oudeyer %E Christian Balkenius %X This poster presents early work on the effects of arousal and its regulation on learning about the environment, particularly affective memories associated with places that can be used to safely guide exploration. %B Proc. 9th International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems (EpiRob 2009) %S Lund University Cognitive Studies %I Lund University %C Venice, Italy %V 146 %P 211–212 %8 11/2009 %@ 978-91-977-380-7-1 %G eng %U http://www.lucs.lu.se/LUCS/146/epirob09.pdf %0 Conference Paper %B Proc. Second International Conference on Affective Computing and Intelligent Interaction (ACII 2007) %D 2007 %T Learning to Interact with the Caretaker: A Developmental Approach %A Antoine Hiolle %A Lola Cañamero %A Arnaud J Blanchard %E Ana C R Paiva %E Rui Prada %E Rosalind W Picard %X To build autonomous robots able to live and interact with humans in a real-world dynamic and uncertain environment, the design of architectures permitting robots to develop attachment bonds to humans and use them to build their own model of the world is a promising avenue, not only to improve human-robot interaction and adaptation to the environment, but also as a way to develop further cognitive and emotional capabilities. In this paper we present a neural architecture to enable a robot to develop an attachment bond with a person or an object, and to discover the correct sensorimotor associations to maintain a desired affective state of well-being using a minimum amount of prior knowledge about the possible interactions with this object. %B Proc. Second International Conference on Affective Computing and Intelligent Interaction (ACII 2007) %S Lecture Notes in Computer Science %I Springer Berlin Heidelberg %C Lisbon, Portugal %V 4738 %P 422–433 %8 09/2007 %@ 978-3-540-74888-5 %G eng %R 10.1007/978-3-540-74889-2_37 %0 Conference Paper %B Towards Intelligent Mobile Robots, TIMR'03: 4th British Conference on Mobile Robotics %D 2003 %T Learning Object Functionalities in the Context of Action Selection %A Cos-Aguilera, Ignasi %A Lola Cañamero %A Gillian M Hayes %E U Nehmzow %E C Melhuish %B Towards Intelligent Mobile Robots, TIMR'03: 4th British Conference on Mobile Robotics %C University of the West of England, Bristol %G eng %0 Conference Proceedings %D 1998 %T Learning in Humans and Machines. Notes of the ECML'98 Workshop Human Learning Meets Machine Learning %E D Cañamero %E M Van Someren %C Technische Universität Chemnitz, Germany %G eng