@inproceedings {2015, title = {Let{\textquoteright}s Be Friends: Perception of a Social Robotic Companion for children with T1DM}, booktitle = {Proc. New Friends 2015}, year = {2015}, note = {Download full proceedings (PDF)}, month = {10/2015}, pages = {32{\textendash}33}, address = {Almere, The Netherlands}, abstract = {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.}, url = {https://mheerink.home.xs4all.nl/pdf/ProceedingsNF2015-3.pdf}, author = {Kruijff-Korbayov{\'a}, Ivana and Oleari, Elettra and Pozzi, Clara and Sacchitelli, Francesca and Bagherzadhalimi, Anahita and Bellini, Sara and Kiefer, Bernd and Racioppa, Stefania and Coninx, Alexandre and Paul E. Baxter and Bierman, Bert and Henkemans, Olivier Blanson and Mark A. Neerincx and Rosemarijn Looije and Yiannis Demiris and Espinoza, Raquel Ros and Mosconi, Marco and Cosi, Piero and Remi Humbert and Lola Ca{\~n}amero and Hichem Sahli and Joachim de Greeff and James Kennedy and Robin Read and Lewis, Matthew and Antoine Hiolle and Giulio Paci and Sommavilla, Giacomo and Tesser, Fabio and Athanasopoulos, Georgios and Patsis, Georgios and Verhelst, Werner and Alberto Sanna and Tony Belpaeme} } @article {2012, title = {Multimodal Child-Robot Interaction: Building Social Bonds}, journal = {Journal of Human-Robot Interaction}, volume = {1}, year = {2012}, note = {Download (Open Access)}, pages = {33{\textendash}53}, abstract = {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 {\textquotedblleft}in the wild.{\textquotedblright} 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.}, doi = {10.5898/JHRI.1.2.Belpaeme}, url = {https://dl.acm.org/doi/10.5555/3109688.3109691}, author = {Tony Belpaeme and Paul E. Baxter and Robin Read and Rachel Wood and Cuay{\'a}huitl, Heriberto and Kiefer, Bernd and Racioppa, Stefania and Kruijff-Korbayov{\'a}, Ivana and Athanasopoulos, Georgios and Valentin Enescu and Rosemarijn Looije and Mark A. Neerincx and Yiannis Demiris and Raquel Ros-Espinoza and Aryel Beck and Lola Ca{\~n}amero and Lewis, Matthew and Baroni, Ilaria and Nalin, Marco and Cosi, Piero and Giulio Paci and Tesser, Fabio and Sommavilla, Giacomo and Remi Humbert} } @inproceedings {2011, title = {Long-Term Human-Robot Interaction with Young Users}, booktitle = {Proc. ACM/IEEE Human-Robot Interaction conference (HRI-2011) (Robots with Children Workshop)}, year = {2011}, note = {Downlaod}, address = {Lausanne, Switzerland}, abstract = {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.}, url = {https://www.researchgate.net/publication/228470784_Long-term_human-robot_interaction_with_young_users}, author = {Paul E. Baxter and Tony Belpaeme and Lola Ca{\~n}amero and Cosi, Piero and Yiannis Demiris and Valentin Enescu and Antoine Hiolle and Kruijff-Korbayov{\'a}, Ivana and Rosemarijn Looije and Nalin, Marco and Mark A. Neerincx and Hichem Sahli and Giocomo Sommavilla and Tesser, Fabio and Rachel Wood} }