TY - CONF T1 - Let’s Be Friends: Perception of a Social Robotic Companion for children with T1DM T2 - Proc. New Friends 2015 Y1 - 2015 A1 - Kruijff-Korbayová, Ivana A1 - Oleari, Elettra A1 - Pozzi, Clara A1 - Sacchitelli, Francesca A1 - Bagherzadhalimi, Anahita A1 - Bellini, Sara A1 - Kiefer, Bernd A1 - Racioppa, Stefania A1 - Coninx, Alexandre A1 - Paul E. Baxter A1 - Bierman, Bert A1 - Henkemans, Olivier Blanson A1 - Mark A. Neerincx A1 - Rosemarijn Looije A1 - Yiannis Demiris A1 - Espinoza, Raquel Ros A1 - Mosconi, Marco A1 - Cosi, Piero A1 - Remi Humbert A1 - Lola Cañamero A1 - Hichem Sahli A1 - Joachim de Greeff A1 - James Kennedy A1 - Robin Read A1 - Lewis, Matthew A1 - Antoine Hiolle A1 - Giulio Paci A1 - Sommavilla, Giacomo A1 - Tesser, Fabio A1 - Athanasopoulos, Georgios A1 - Patsis, Georgios A1 - Verhelst, Werner A1 - Alberto Sanna A1 - Tony Belpaeme AB - 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. JF - Proc. New Friends 2015 CY - Almere, The Netherlands UR - https://mheerink.home.xs4all.nl/pdf/ProceedingsNF2015-3.pdf N1 - Download full proceedings (PDF) ER - TY - CONF T1 - Natural Emotion Elicitation for Emotion Modeling in Child-Robot Interactions T2 - Proc. 4th Workshop on Child Computer Interaction (WOCCI 2014) Y1 - 2014 A1 - Wang, Weiyi A1 - Athanasopoulos, Georgios A1 - Yilmazyildiz, Selma A1 - Patsis, Georgios A1 - Valentin Enescu A1 - Hichem Sahli A1 - Verhelst, Werner A1 - Antoine Hiolle A1 - Lewis, Matthew A1 - Lola Cañamero AB - 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. JF - Proc. 4th Workshop on Child Computer Interaction (WOCCI 2014) PB - ICSA CY - Singapore UR - https://www.isca-speech.org/archive/wocci_2014/wc14_051.html N1 - Download (Open Access) ER - TY - JOUR T1 - Multimodal Child-Robot Interaction: Building Social Bonds JF - Journal of Human-Robot Interaction Y1 - 2012 A1 - Tony Belpaeme A1 - Paul E. Baxter A1 - Robin Read A1 - Rachel Wood A1 - Cuayáhuitl, Heriberto A1 - Kiefer, Bernd A1 - Racioppa, Stefania A1 - Kruijff-Korbayová, Ivana A1 - Athanasopoulos, Georgios A1 - Valentin Enescu A1 - Rosemarijn Looije A1 - Mark A. Neerincx A1 - Yiannis Demiris A1 - Raquel Ros-Espinoza A1 - Aryel Beck A1 - Lola Cañamero A1 - Lewis, Matthew A1 - Baroni, Ilaria A1 - Nalin, Marco A1 - Cosi, Piero A1 - Giulio Paci A1 - Tesser, Fabio A1 - Sommavilla, Giacomo A1 - Remi Humbert AB - 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. VL - 1 UR - https://dl.acm.org/doi/10.5555/3109688.3109691 IS - 2 N1 - Download (Open Access) ER -