Cameron, D. orcid.org/0000-0001-8923-5591, Collins, E.C., Cheung, H. et al. (3 more authors) (2016) Don’t Worry, We’ll Get There: Developing Robot Personalities to Maintain User Interaction After Robot Error. In: Biomimetic and Biohybrid Systems. Living Machines, July 19-22, 2016, Edinburgh, UK. Lecture Notes in Computer Science, 9793 . Springer International Publishing , pp. 409-412.
Abstract
Human robot interaction (HRI) often considers the human impact of a robot serving to assist a human in achieving their goal or a shared task. There are many circumstances though during HRI in which a robot may make errors that are inconvenient or even detrimental to human partners. Using the ROBOtic GUidance and Interaction DEvelopment (ROBO-GUIDE) model on the Pioneer LX platform as a case study, and insights from social psychology, we examine key factors for a robot that has made such a mistake, ensuring preservation of individuals’ perceived competence of the robot, and individuals’ trust towards the robot. We outline an experimental approach to test these proposals.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Springer International Publishing Switzerland. 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; Design; Guidance; 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) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 25 Jul 2016 16:17 |
Last Modified: | 05 Nov 2017 11:58 |
Published Version: | http://dx.doi.org/10.1007/978-3-319-42417-0_38 |
Status: | Published |
Publisher: | Springer International Publishing |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-42417-0_38 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:102876 |