TY - JOUR T1 - Towards Long-Term Social Child-Robot Interaction: Using Multi-Activity Switching to Engage Young Users JF - Journal of Human-Robot Interaction Y1 - 2016 A1 - Coninx, Alexandre A1 - Paul E. Baxter A1 - Oleari, Elettra A1 - Bellini, Sara A1 - Bierman, Bert A1 - Henkemans, Olivier Blanson A1 - Lola Cañamero A1 - Cosi, Piero A1 - Valentin Enescu A1 - Espinoza, Raquel Ros A1 - Antoine Hiolle A1 - Remi Humbert A1 - Kiefer, Bernd A1 - Kruijff-Korbayová, Ivana A1 - Looije, Rosmarijn A1 - Mosconi, Marco A1 - Mark A. Neerincx A1 - Giulio Paci A1 - Patsis, Georgios A1 - Pozzi, Clara A1 - Sacchitelli, Francesca A1 - Hichem Sahli A1 - Alberto Sanna A1 - Sommavilla, Giacomo A1 - Tesser, Fabio A1 - Yiannis Demiris A1 - Tony Belpaeme AB - 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. VL - 5 UR - https://dl.acm.org/doi/abs/10.5898/JHRI.5.1.Coninx IS - 1 N1 - Download (Open Access) ER - 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 - JOUR T1 - Interpretation of Emotional Body Language Displayed by a Humanoid Robot: A Case Study with Children JF - International Journal of Social Robotics Y1 - 2013 A1 - Aryel Beck A1 - Lola Cañamero A1 - Antoine Hiolle A1 - Luisa Damiano A1 - Cosi, Piero A1 - Tesser, Fabio A1 - Sommavilla, Giacomo KW - emotion KW - emotional body language KW - perception KW - Social robotics AB - The work reported in this paper focuses on giving humanoid robots the capacity to express emotions with their body. Previous results show that adults are able to interpret different key poses displayed by a humanoid robot and also that changing the head position affects the expressiveness of the key poses in a consistent way. Moving the head down leads to decreased arousal (the level of energy) and valence (positive or negative emotion) whereas moving the head up produces an increase along these dimensions. Hence, changing the head position during an interaction should send intuitive signals. The study reported in this paper tested children’s ability to recognize the emotional body language displayed by a humanoid robot. The results suggest that body postures and head position can be used to convey emotions during child-robot interaction. VL - 5 UR - https://link.springer.com/article/10.1007/s12369-013-0193-z N1 - Download 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 - TY - CONF T1 - Children Interpretation of Emotional Body Language Displayed by a Robot T2 - Proc. 3rd International Conference on Social Robotics (ICSR 2011) Y1 - 2011 A1 - Aryel Beck A1 - Lola Cañamero A1 - Luisa Damiano A1 - Sommavilla, Giacomo A1 - Tesser, Fabio A1 - Cosi, Piero AB - Previous results show that adults are able to interpret different key poses displayed by the robot and also that changing the head position affects the expressiveness of the key poses in a consistent way. Moving the head down leads to decreased arousal (the level of energy), valence (positive or negative) and stance (approaching or avoiding) whereas moving the head up produces an increase along these dimensions [1]. Hence, changing the head position during an interaction should send intuitive signals which could be used during an interaction. The ALIZ-E target group are children between the age of 8 and 11. Existing results suggest that they would be able to interpret human emotional body language [2, 3]. Based on these results, an experiment was conducted to test whether the results of [1] can be applied to children. If yes body postures and head position could be used to convey emotions during an interaction. JF - Proc. 3rd International Conference on Social Robotics (ICSR 2011) PB - Springer CY - Amsterdam, The Netherlands SN - 978-3-642-25504-5 UR - https://link.springer.com/chapter/10.1007%2F978-3-642-25504-5_7 N1 - Download ER - TY - CONF T1 - Long-Term Human-Robot Interaction with Young Users T2 - Proc. ACM/IEEE Human-Robot Interaction conference (HRI-2011) (Robots with Children Workshop) Y1 - 2011 A1 - Paul E. Baxter A1 - Tony Belpaeme A1 - Lola Cañamero A1 - Cosi, Piero A1 - Yiannis Demiris A1 - Valentin Enescu A1 - Antoine Hiolle A1 - Kruijff-Korbayová, Ivana A1 - Rosemarijn Looije A1 - Nalin, Marco A1 - Mark A. Neerincx A1 - Hichem Sahli A1 - Giocomo Sommavilla A1 - Tesser, Fabio A1 - Rachel Wood AB - 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. JF - Proc. ACM/IEEE Human-Robot Interaction conference (HRI-2011) (Robots with Children Workshop) CY - Lausanne, Switzerland UR - https://www.researchgate.net/publication/228470784_Long-term_human-robot_interaction_with_young_users N1 - Downlaod ER -