Paving the way for culturally competent robots: a position paper
Bruno, Barbara, Chong, Nak Young, Kamide, Hiroko, Kanoria, Sanjeev, Lee, Jaeryoung, Lim, Yuto, Pandey, Amit Kumar, Papadopoulos, Chris, Papadopoulos, Irena ORCID: https://orcid.org/0000-0001-6291-4332, Pecora, Federico, Saffiotti, Alessandro and Sgorbissa, Antonio
(2017)
Paving the way for culturally competent robots: a position paper.
2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).
In: 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 28 Aug - 01 Sept 2017, Lisbon, Portugal.
ISBN 9781538635186.
ISSN 1944-9437
[Conference or Workshop Item]
(doi:10.1109/ROMAN.2017.8172357)
|
PDF (A position paper)
- Final accepted version (with author's formatting)
Download (409kB) | Preview |
Abstract
Cultural competence is a well known requirement for an effective healthcare, widely investigated in the nursing literature. We claim that personal assistive robots should likewise be culturally competent, aware of general cultural characteristics and of the different forms they take indifferent individuals, and sensitive to cultural differences while perceiving, reasoning, and acting. Drawing inspiration from existing guidelines for culturally competent healthcare and the state-of-the-art in culturally competent robotics, we identify the key robot capabilities which enable culturally competent behaviours and discuss methodologies for their development and evaluation.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Research Areas: | A. > School of Health and Education > Mental Health, Social Work and Interprofessional Learning |
Item ID: | 25629 |
Notes on copyright: | © 2017 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. |
Useful Links: | |
Depositing User: | Rena Papadopoulos |
Date Deposited: | 19 Nov 2018 17:34 |
Last Modified: | 29 Nov 2022 20:41 |
URI: | https://eprints.mdx.ac.uk/id/eprint/25629 |
Actions (login required)
![]() |
View Item |
Statistics
Additional statistics are available via IRStats2.