Buxton, D.R. orcid.org/0000-0001-5735-5927, Kerdegari, H., Mokaram, S. et al. (2 more authors) (2019) A window into the robot ‘mind’ : using a graphical real-time display to provide transparency of function in a brain-based robot. In: Martinez-Hernandez, U., Vouloutsi, V., Mura, A., Mangan, M. and Asada, M., (eds.) Biomimetic and Biohybrid Systems. 8th International Conference, Living Machines 2019, 09-12 Jul 2019, Nara, Japan. Springer International Publishing , pp. 316-320. ISBN 9783030247409
Abstract
Biomimetic robots are often given a humanoid or animaloid form that generates useful interaction affordances through similarities to natural counterparts. This has raised concerns about the potential for deception by creating the expectation of human- or animal-like intentional states that cannot (supposedly) be generated in artefacts. Here we report on the design of a graphical user interface (GUI) to the brain-based control system of the MiRo animal-like robot that we are developing to test the value of real-time displays as a means of increasing transparency for biomimetic robots and as a tool for investigating people’s understanding of the relationship between internal mental processes and behaviour.
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: | © 2019 Springer Nature Switzerland AG. This is an author-produced version of a paper subsequently published in Biomimetic and Biohybrid Systems proceedings. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Biomimetic robot; Brain-based robot; Intentionality; MiRo robot; Transparency |
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: | 11 Nov 2019 11:28 |
Last Modified: | 06 Jul 2020 00:40 |
Status: | Published |
Publisher: | Springer International Publishing |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-030-24741-6_28 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:152583 |