Encoding guidelines for a culturally competent robot for elderly care
Sgorbissa, Antonio, Papadopoulos, Irena ORCID: https://orcid.org/0000-0001-6291-4332, Bruno, Barbara, Koulouglioti, Christina and Recchiuto, Carmine
(2018)
Encoding guidelines for a culturally competent robot for elderly care.
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
In: IROS 2018: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 01-05 Oct 2018, Madrid, Sapin.
ISBN 978-1-5386-8094-0.
ISSN 2153-0866
[Conference or Workshop Item]
(doi:10.1109/IROS.2018.8594089)
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Abstract
The functionalities and behaviours of socially assistive robots for the care of older people are usually defined by the robot’s designers with limited room for runtime adaptation to meet the preferences, expectations and needs of the assisted person. However, adaptation plays a crucial role for the robot’s acceptability and ultimately for its effectiveness. Culture, which deeply influences a person’s preferences and habits, can be viewed as an invaluable “enabling technology” to achieve such level of adaptation. This paper discusses how guidelines describing culturally competent assistive behaviours can be encoded in a robot to effectively tune its actions, gestures and words. The proposed system is implemented on a Pepper robot and tested with an Indian persona, whose habits and preferences the robot discovers and adapts to at runtime.
Item Type: | Conference or Workshop Item (Paper) |
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Research Areas: | A. > School of Health and Education > Mental Health, Social Work and Interprofessional Learning |
Item ID: | 24839 |
Notes on copyright: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works. |
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Depositing User: | Christina Koulouglioti |
Date Deposited: | 16 Nov 2018 16:30 |
Last Modified: | 29 Nov 2022 19:36 |
URI: | https://eprints.mdx.ac.uk/id/eprint/24839 |
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