Tony Belpaeme, Paul Baxter, Robin Read, Rachel Wood, Heriberto Cuayahuitl, Bernd Kiefer, Stefania Racioppa, Ivana Kruijff-Korbayova, Georgios Athanasopoulos, Valentin Enescu, Rosemarijn Looije, Mark Neerincx, Yiannis Demiris, Raquel Ros Espinoza, Aryel Beck, Lola Canamero, Antoine Hiolle, Matthew Lewis, Ilaria Baroni, Marco Nalin, Piero Cosi, Giulio Paci, Fabio Tesser, Giacomo Sommavilla, Remi Humbert
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.
Belpaeme, T, Baxter, P, Read, R, Wood, R, Cuayahuitl, H, Kiefer, B, Racioppa, S, Kruijff-Korbayova, I, Athanasopoulos, G, Enescu, V, Looije, R, Neerincx, M, Demiris, Y, Espinoza, RR, Beck, A, Canamero, L, Hiolle, A, Lewis, M, Baroni, I, Nalin, M, Cosi, P, Paci, G, Tesser, F, Sommavilla, G & Humbert, R 2012, 'Multimodal Child-Robot Interaction: Building Social Bonds', Journal of Human-Robot Interaction, vol. 1, pp. 33-53.
Belpaeme, T., Baxter, P., Read, R., Wood, R., Cuayahuitl, H., Kiefer, B., Racioppa, S., Kruijff-Korbayova, I., Athanasopoulos, G., Enescu, V., Looije, R., Neerincx, M., Demiris, Y., Espinoza, R. R., Beck, A., Canamero, L., Hiolle, A., Lewis, M., Baroni, I., ... Humbert, R. (2012). Multimodal Child-Robot Interaction: Building Social Bonds. Journal of Human-Robot Interaction, 1, 33-53.
@article{371af0a03248416d81536e81d940936c,
title = "Multimodal Child-Robot Interaction: Building Social Bonds",
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 {"}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.",
keywords = "Human-robot interaction, child-robot interaction, interaction design, adaptive social robotics, natural language, memory, engagement",
author = "Tony Belpaeme and Paul Baxter and Robin Read and Rachel Wood and Heriberto Cuayahuitl and Bernd Kiefer and Stefania Racioppa and Ivana Kruijff-Korbayova and Georgios Athanasopoulos and Valentin Enescu and Rosemarijn Looije and Mark Neerincx and Yiannis Demiris and Espinoza, {Raquel Ros} and Aryel Beck and Lola Canamero and Antoine Hiolle and Matthew Lewis and Ilaria Baroni and Marco Nalin and Piero Cosi and Giulio Paci and Fabio Tesser and Giacomo Sommavilla and Remi Humbert",
year = "2012",
month = dec,
language = "English",
volume = "1",
pages = "33--53",
journal = "Journal of Human-Robot Interaction",
issn = "2163-0364",
}