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4. Towards the Design of Robots Inspired in Ancient Cultures as Educational Tools

Author

Penaloza, Christian, Lucho, Cesar, Cuellar, Francisco, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Koh, Jeffrey T.K.V., editor, Dunstan, Belinda J., editor, Silvera-Tawil, David, editor, and Velonaki, Mari, editor

Published
2016
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44. Children's Knowledge and Expectations about Robots: A Survey for Future User-Centered Design of Social Robots.

Author

Benítez Sandoval, Eduardo and Penaloza, Christian I.

Subjects
ROBOTS, USER-centered system design, ROBOTICS -- Social aspects, CHILDREN, CHILD development
Abstract

This paper seeks to establish a precedent for future development and design of social robots by considering the knowledge and expectations about robots of a group of 296 children. Human-robot interaction experiments were con- ducted with a Teleoperated anthropomorphic robot, and surveys were taken before and after the experiments. Children were also asked to perform a drawing of a robot. An image analysis algorithm was developed to classify drawings into 4 types: Anthropomorphic Mechanic/Non Mechanic (AM/AnM) and Non-Anthropomorphic Mechanic/Non Mechanic (nAM/nAnM). Image analysis algorithm was used in combination with human classification using a 2oo3 (two out of three) voting scheme to find children's strongest stereo- type about robots. Survey and image analysis results suggest that children in general have some general knowledge about robots, and some children even have a deep under- standing and expectations for future robots. Moreover, children's strongest stereotype is directed towards mechanical anthropomorphic systems. [ABSTRACT FROM AUTHOR]

Published
2012

45. Children's knowledge and expectations about robots: A survey for future user-centered design of social robots.

Author

Sandoval, Eduardo Benitez and Penaloza, Christian I.

Abstract

This paper seeks to establish a precedent for future development and design of social robots by considering the knowledge and expectations about robots of a group of 296 children. Humanrobot interaction experiments were conducted with a Teleoperated anthropomorphic robot, and surveys were taken before and after the experiments. Children were also asked to perform a drawing of a robot. An image analysis algorithm was developed to classify drawings into 4 types: Anthropomorphic Mechanic/Non Mechanic (AM/AnM) and Non-Anthropomorphic Mechanic/Non Mechanic (nAM/nAnM). Image analysis algorithm was used in combination with human classification using a 2003 (two out of three) voting scheme to find children's strongest stereo-type about robots. Survey and image analysis results suggest that children in general have some general knowledge about robots, and some children even have a deep understanding and expectations for future robots. Moreover, children's strongest stereotype is directed towards mechanical anthropomorphic systems. [ABSTRACT FROM PUBLISHER]

Published
2012

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