Print Email Facebook Twitter Multimodal Child-Robot Interaction Title Multimodal Child-Robot Interaction: Building Social Bonds Author Belpaeme, T. Looije, R. Mioch, T. Neerincx, M.A. Publication year 2012 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. Subject Child-robot interactionRobot assisted therapyLarge-scale projectLong-term HRINatural language interactionIntegration for HRIHumanPCS - Perceptual and Cognitive SystemsBSS - Behavioural and Societal Sciences To reference this document use: http://resolver.tudelft.nl/uuid:c9b7d4d0-f951-4740-a2d1-2482cb6fdafc TNO identifier 574937 Source Journal of Human-Robot Interaction, 1 (1), 33-53 Document type article Files PDF belpaeme-2012-multimodal.pdf