Multimodal child-robot interaction: building social bonds

Belpaeme, Tony, Baxter, Paul, Read, Robin , Wood, Rachel, Cuayáhuitl, Heriberto, Kiefer, Bernd, Racioppa, Stefania, Kruijff-Korbayová, Ivana, Athanasopoulos, Georgios, Enescu, Valentin, Looije, Rosemarijn, Neerincx, Mark, Demiris, Yiannis, Ros-Espinoza, Raquel, Beck, Aryel, Cañamero, Lola, Hiolle, Antione, Lewis, Matthew, Baroni, Ilaria, Nalin, Marco, Cosi, Piero, Paci, Giulio, Tesser, Fabio, Sommavilla, Giacomo and Humbert, Remi (2012) Multimodal child-robot interaction: building social bonds. Journal of Human-Robot Interaction, 1 (2). ISSN 2163-0364

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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, Conversational robots, Long-term interaction, Evaluation
Subjects:G Mathematical and Computer Sciences > G750 Cognitive Modelling
G Mathematical and Computer Sciences > G700 Artificial Intelligence
G Mathematical and Computer Sciences > G400 Computer Science
G Mathematical and Computer Sciences > G440 Human-computer Interaction
G Mathematical and Computer Sciences > G710 Speech and Natural Language Processing
Divisions:College of Science > School of Computer Science
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ID Code:22210
Deposited On:14 Feb 2016 13:06

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