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Multimodal Child-Robot Interaction: Building Social Bonds (Articolo in rivista)

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Multimodal Child-Robot Interaction: Building Social Bonds (Articolo in rivista) (literal)

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Tony Belpaeme, Paul Baxter, Robin Read, Rachel Wood Heriberto Cuayahuitl, Bernd Kiefer, Stefania Racioppa, Ivana Kruijff-Korbayov?a Georgios Athanasopoulos, Valentin Enescu Rosemarijn Looije, Mark Neerincx Yiannis Demiris, Raquel Ros-Espinoza Aryel Beck, Lola Canamero, Antione Hiolle, Matthew Lewis Ilaria Baroni, Marco Nalin Piero Cosi, Giulio Paci, Fabio Tesser, Giacomo Sommavilla Remi Humbert (2012)
Multimodal Child-Robot Interaction: Building Social Bonds
in Journal of Human-Robot Interaction; Open Journal Systems 2.3.6.0, WEB (Stati Uniti d'America)
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Tony Belpaeme, Paul Baxter, Robin Read, Rachel Wood Heriberto Cuayahuitl, Bernd Kiefer, Stefania Racioppa, Ivana Kruijff-Korbayov?a Georgios Athanasopoulos, Valentin Enescu Rosemarijn Looije, Mark Neerincx Yiannis Demiris, Raquel Ros-Espinoza Aryel Beck, Lola Canamero, Antione Hiolle, Matthew Lewis Ilaria Baroni, Marco Nalin Piero Cosi, Giulio Paci, Fabio Tesser, Giacomo Sommavilla Remi Humbert (literal)

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This work is licensed under a Creative Commons Attribution 3.0 License. Open Journal Systems \"Scholars need the means to launch a new generation of journals committed to open access, and to help existing journals that elect to make the transition to open access...\" Budapest Open Access Initiative, 2002 Open Journal Systems (OJS) is a journal management and publishing system that has been developed by the Public Knowledge Project through its federally funded efforts to expand and improve access to research. (literal)

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http://humanrobotinteraction.org/journal/index.php/HRI/article/view/62/67 (literal)

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Tony Belpaeme, Paul Baxter, Robin Read, Rachel Wood Plymouth University, United Kingdom Heriberto Cuayahuitl, Bernd Kiefer, Stefania Racioppa, Ivana Kruijff-Korbayov?a Deutsches Forschungszentrum f?ur K?unstliche Intelligenz, Germany Georgios Athanasopoulos, Valentin Enescu Vrije Universiteit Brussel, Belgium Rosemarijn Looije, Mark Neerincx Organization for Applied Scientific Research, The Netherlands Yiannis Demiris, Raquel Ros-Espinoza Imperial College London, United Kingdom Aryel Beck, Lola Canamero, Antione Hiolle, Matthew Lewis University of Hertfordshire, United Kingdom Ilaria Baroni, Marco Nalin Fondazione Centro San Raffaele del Monte Tabor, Italy Piero Cosi, Giulio Paci, Fabio Tesser, Giacomo Sommavilla National Research Council - ISTC, Italy Remi Humbert Aldebaran, France (literal)

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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 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. (literal)

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