%0 Journal Article %J Journal of Human-Robot Interaction %D 2016 %T Towards Long-Term Social Child-Robot Interaction: Using Multi-Activity Switching to Engage Young Users %A Coninx, Alexandre %A Paul E. Baxter %A Oleari, Elettra %A Bellini, Sara %A Bierman, Bert %A Henkemans, Olivier Blanson %A Lola Cañamero %A Cosi, Piero %A Valentin Enescu %A Espinoza, Raquel Ros %A Antoine Hiolle %A Remi Humbert %A Kiefer, Bernd %A Kruijff-Korbayová, Ivana %A Looije, Rosmarijn %A Mosconi, Marco %A Mark A. Neerincx %A Giulio Paci %A Patsis, Georgios %A Pozzi, Clara %A Sacchitelli, Francesca %A Hichem Sahli %A Alberto Sanna %A Sommavilla, Giacomo %A Tesser, Fabio %A Yiannis Demiris %A Tony Belpaeme %X Social robots have the potential to provide support in a number of practical domains, such as learning and behaviour change. This potential is particularly relevant for children, who have proven receptive to interactions with social robots. To reach learning and therapeutic goals, a number of issues need to be investigated, notably the design of an effective child-robot interaction (cHRI) to ensure the child remains engaged in the relationship and that educational goals are met. Typically, current cHRI research experiments focus on a single type of interaction activity (e.g. a game). However, these can suffer from a lack of adaptation to the child, or from an increasingly repetitive nature of the activity and interaction. In this paper, we motivate and propose a practicable solution to this issue: an adaptive robot able to switch between multiple activities within single interactions. We describe a system that embodies this idea, and present a case study in which diabetic children collaboratively learn with the robot about various aspects of managing their condition. We demonstrate the ability of our system to induce a varied interaction and show the potential of this approach both as an educational tool and as a research method for long-term cHRI. %B Journal of Human-Robot Interaction %V 5 %P 32–67 %G eng %U https://dl.acm.org/doi/abs/10.5898/JHRI.5.1.Coninx %N 1 %R 10.5898/JHRI.5.1.Coninx %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 Journal Article %J Journal of Human-Robot Interaction %D 2012 %T Multimodal Child-Robot Interaction: Building Social Bonds %A Tony Belpaeme %A Paul E. Baxter %A Robin Read %A Rachel Wood %A Cuayáhuitl, Heriberto %A Kiefer, Bernd %A Racioppa, Stefania %A Kruijff-Korbayová, Ivana %A Athanasopoulos, Georgios %A Valentin Enescu %A Rosemarijn Looije %A Mark A. Neerincx %A Yiannis Demiris %A Raquel Ros-Espinoza %A Aryel Beck %A Lola Cañamero %A Lewis, Matthew %A Baroni, Ilaria %A Nalin, Marco %A Cosi, Piero %A Giulio Paci %A Tesser, Fabio %A Sommavilla, Giacomo %A Remi Humbert %X For robots to interact effectively with human users they must be capable of coordinated, timely behavior in response to social context. The Adaptive Strategies for Sustainable Long-Term Social Interaction (ALIZ-E) project focuses on the design of long-term, adaptive social interaction between robots and child users in real-world settings. In this paper, we report on the iterative approach taken to scientific and technical developments toward this goal: advancing individual technical competencies and integrating them to form an autonomous robotic system for evaluation “in the wild.” The first evaluation iterations have shown the potential of this methodology in terms of adaptation of the robot to the interactant and the resulting influences on engagement. This sets the foundation for an ongoing research program that seeks to develop technologies for social robot companions. %B Journal of Human-Robot Interaction %V 1 %P 33–53 %G eng %U https://dl.acm.org/doi/10.5555/3109688.3109691 %N 2 %R 10.5898/JHRI.1.2.Belpaeme %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