@inproceedings {2012, title = {Children{\textquoteright}s Adaptation in Multi-session Interaction with a Humanoid Robot}, booktitle = {2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication}, year = {2012}, note = {Download}, pages = {351{\textendash}357}, publisher = {IEEE}, organization = {IEEE}, abstract = {This work presents preliminary observations from a study of children (N=19, age 5{\textendash}12) interacting in multiple sessions with a humanoid robot in a scenario involving game activities. The main purpose of the study was to see how their perception of the robot, their engagement, and their enjoyment of the robot as a companion evolve across multiple interactions, separated by one-two weeks. However, an interesting phenomenon was observed during the experiment: most of the children soon adapted to the behaviors of the robot, in terms of speech timing, speed and tone, verbal input formulation, nodding, gestures, etc. We describe the experimental setup and the system, and our observations and preliminary analysis results, which open interesting questions for further research.}, issn = {1944-9445}, doi = {10.1109/ROMAN.2012.6343778}, url = {http://ieeexplore.ieee.org/document/6343778/}, author = {Nalin, Marco and Baroni, Ilaria and Kruijff-Korbayov{\'a}, Ivana and Lola Ca{\~n}amero and Lewis, Matthew and Aryel Beck and Cuay{\'a}huitl, Heriberto and Alberto Sanna} } @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} }