@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 = {<a href="https://ieeexplore.ieee.org/document/6343778">Download</a>},
	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 = {<a href="https://dl.acm.org/doi/10.5555/3109688.3109691">Download</a> (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}
}
