%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 %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