Multimodal Child-Robot Interaction : Building Social Bonds. Belpaeme, T., Baxter, P., Read, R., Wood, R., Cuayahuitl, H., Kiefer, B., Racioppa, S., Kruiff-Korbayova, I., Athanasopoulos, G., Enescu, V., Looije, R., Neerincx, M., Demiris, Y., Ros-Espinoza, R., Beck, A., Canamero, L., Hiolle, A., Lewis, M., Baroni, I., Nalin, M., Cosi, P., Paci, G., Tesser, F., Sommavilla, G., & Humbert, R. Journal of Human-Robot Interaction, 1(2):33–53, 2012. doi abstract bibtex 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 competen- cies 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.
@article{Belpaeme2012,
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 competen- cies 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.},
author = {Belpaeme, Tony and Baxter, Paul and Read, Robin and Wood, Rachel and Cuayahuitl, Heriberto and Kiefer, Bernd and Racioppa, Stefania and Kruiff-Korbayova, Ivana and Athanasopoulos, Georgios and Enescu, Valentin and Looije, Rosemarijn and Neerincx, Mark and Demiris, Yiannis and Ros-Espinoza, Raquel and Beck, Aryel and Canamero, Lola and Hiolle, Antione and Lewis, Matthew and Baroni, Ilaria and Nalin, Marco and Cosi, Piero and Paci, Giulio and Tesser, Fabio and Sommavilla, Giacomo and Humbert, Remi},
doi = {10.5898/JHRI.1.2.Belpaeme},
journal = {Journal of Human-Robot Interaction},
number = {2},
pages = {33--53},
title = {{Multimodal Child-Robot Interaction : Building Social Bonds}},
volume = {1},
year = {2012}
}
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