Naneva, S., Webb, T.L. orcid.org/0000-0001-9320-0068 and Prescott, T.J. orcid.org/0000-0003-4927-5390 (2018) What comes to mind when people are asked questions about robots? In: Giuliani, M., Assaf, T. and Giannaccini, M., (eds.) Towards Autonomous Robotic Systems: 19th Annual Conference, TAROS 2018, Bristol, UK July 25-27, 2018, Proceedings. TAROS 2018, 25-27 Jul 2018, Bristol, UK. Lecture Notes in Artificial Intelligence, 10965 . Springer Verlag , pp. 453-454. ISBN 978-3-319-96728-8
Abstract
Scientists and practitioners often seek to understand people’s attitudes towards new technologies, such as robots. Attitude Bepresentation Theory suggests that what people think and feel about a category is likely to depend on the specific representation that comes to mind when asked questions about that category. The aim of this research was therefore to explore what members of the general public think about when asked questions about robots. A short survey was conducted with 33 members of the general public in Sheffield. It was found that participants most frequently associated the word robot with descriptive words such as “metallic” and “artificial”. Approximately half of the participants mentioned fictional robots, suggesting that people’s attitudes toward robots may not be grounded in reality. Besearch into people’s attitudes toward robots therefore needs to (i) consider what representations people are likely to base their attitudes on and (ii) find ways to help them to ground these representations in the reality of the technologies.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2018 Springer International Publishing. This is an author produced version of a paper subsequently published in Towards Autonomous Robotic Systems (LNAI 10965). Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Robots; Attitudes; Attitude Representation Theory |
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) The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 09 Oct 2018 10:15 |
Last Modified: | 21 Jul 2019 00:42 |
Published Version: | https://doi.org/10.1007/978-3-319-96728-8 |
Status: | Published |
Publisher: | Springer Verlag |
Series Name: | Lecture Notes in Artificial Intelligence |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-96728-8 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:136743 |