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Future Internet 2017, 9(3), 52;

Design for Children’s Playful Learning with Robots

Department of Architecture and Design, Politecnico di Torino, 10100 Turin, Italy
Department of Art and Design, Tsinghua University, Beijing 100000, China
Author to whom correspondence should be addressed.
Received: 4 August 2017 / Revised: 28 August 2017 / Accepted: 14 September 2017 / Published: 18 September 2017
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This article presents an investigation of the implications of designing for children’s playful learning with robots. This study was carried out by adopting a Research through Design approach that resulted in the development of a novel low-anthropomorphic robot called Shybo. The article reports the main phases of the project: the preliminary and exploratory research that was carried out to define a list of design requirements; the design of the robot and its supplementary materials for carrying out playful learning experiences; and the evaluation of the project that involved both parents and children. The robot, in fact, was finally tested as part of a two-hour experience that engaged children in activities related to the associations between sounds and colours. The article presents and discusses the results of this evaluation to point out positive aspects of the experience, emerging issues and hints for future works. These are documented to share lessons learned that might be supportive of the general development of children’s playful learning and cognitive experiences with robots. View Full-Text
Keywords: edutainment robotics; child-robot interaction; play; research through design; robot design; participatory design edutainment robotics; child-robot interaction; play; research through design; robot design; participatory design

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Lupetti, M.L.; Yao, Y.; Mi, H.; Germak, C. Design for Children’s Playful Learning with Robots. Future Internet 2017, 9, 52.

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