Cameron, D. orcid.org/0000-0001-8923-5591, Fernando, S., Cowles-Naja, E. et al. (7 more authors) (2017) Children's age influences their use of biological and mechanical questions towards a humanoid. In: Proceedings of the 18th Towards Autonomous Robotic Systems (TAROS) Conference. 18th Towards Autonomous Robotic Systems (TAROS) Conference, 19/07/2017 - 21/07/2017, University of Surrey, Guildford. Lecture Notes in Computer Science, 10454 . Springer Verlag , pp. 290-299. ISBN 978-3-319-64107-2
Abstract
Complex autonomous interactions, biomimetic appearances, and responsive behaviours are increasingly seen in social robots. These features, by design or otherwise, may substantially influence young children’s beliefs of a robot’s animacy. Young children are believed to hold naive theories of animacy, and can miscategorise objects as living agents with intentions; however, this develops with age to a biological understanding. Prior research indicates that children frequently categorise a responsive humanoid as being a hybrid of person and machine; although, with age, children tend towards classifying the humanoid as being more machine-like. Our current research explores this phenomenon, using an unobtrusive method: recording childrens conversational interaction with the humanoid and classifying indications of animacy beliefs in childrens questions asked. Our results indicate that established findings are not an artefact of prior research methods: young children tend to converse with the humanoid as if it is more animate than older children do.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Springer. This is an author produced version of a paper subsequently published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Human-robot interaction; humanoid; animacy; psychology |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - FP6/FP7 EASEL - 611971 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 03 May 2017 15:01 |
Last Modified: | 27 Jul 2017 08:19 |
Published Version: | https://doi.org/10.1007/978-3-319-64107-2_23 |
Status: | Published |
Publisher: | Springer Verlag |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-64107-2_23 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:115543 |