%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 Conference Paper %B Proc. 4th Workshop on Child Computer Interaction (WOCCI 2014) %D 2014 %T Natural Emotion Elicitation for Emotion Modeling in Child-Robot Interactions %A Wang, Weiyi %A Athanasopoulos, Georgios %A Yilmazyildiz, Selma %A Patsis, Georgios %A Valentin Enescu %A Hichem Sahli %A Verhelst, Werner %A Antoine Hiolle %A Lewis, Matthew %A Lola Cañamero %X Obtaining spontaneous emotional expressions is the very first and vital step in affective computing studies, for both psychologists and computer scientists. However, it is quite challenging to record them in real life, especially when certain modalities are required (e.g. 3D representation of the body). Traditional elicitation and capturing protocols either introduce the awareness of the recording, which may impair the naturalness of the behaviors, or cause too much information loss. In this paper, we present natural emotion elicitation and recording experiments, which were set in child-robot interaction scenarios. Several state-of-the-art technologies were employed to acquire the multi-modal expressive data that will be further used for emotion modeling and recognition studies. The obtained recordings exhibit the expected emotional expressions. %B Proc. 4th Workshop on Child Computer Interaction (WOCCI 2014) %I ICSA %C Singapore %P 51–56 %G eng %U https://www.isca-speech.org/archive/wocci_2014/wc14_051.html