Blancas, M., Vouloutsi, V., Fernando, S. et al. (5 more authors) (2018) Analyzing children's expectations from robotic companions in educational settings. In: Humanoid Robotics (Humanoids), 2017 IEEE-RAS 17th International Conference on. 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids), 15-17 Nov 2017, Birmingham, UK. IEEE , pp. 749-755.
Abstract
The use of robots as educational partners has been extensively explored, but less is known about the required characteristics these robots should have to meet children's expectations. Thus the purpose of this study is to analyze children's assumptions regarding morphology, functionality, and body features, among others, that robots should have to interact with them. To do so, we analyzed 142 drawings from 9 to 10 years old children and their answers to a survey provided after interacting with different robotic platforms. The main results convey on a gender-less robot with anthropomorphic (but machine-like) characteristics.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | analyzing children; robotic companions; educational settings; educational partners; required characteristics; different robotic platforms; gender-less robot |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 18 May 2018 14:11 |
Last Modified: | 19 Dec 2022 16:10 |
Published Version: | https://doi.org/10.1109/HUMANOIDS.2017.8246956 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/HUMANOIDS.2017.8246956 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:130866 |