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http://hdl.handle.net/10119/15275
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| Title: | Paving the Way for Culturally Competent Robots: a Position Paper |
| Authors: | Bruno, Barbara
Nak Young Chong
Kamide, Hiroko
Kanoria, Sanjeev
Lee, Jaeryoung
Lim, Yuto
Amit Kumar Pandey
Papadopoulos, Chris
Papadopoulos, Irena
Pecora, Federico
Saffiotti, Alessandro
Sgorbissa, Antonio |
| Keywords: | Competent Robot
Cultural
CARESSES |
| Issue Date: | 2017-08-28 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Magazine name: | 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) |
| Start page: | 553 |
| End page: | 560 |
| DOI: | 10.1109/ROMAN.2017.8172357 |
| 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 in different 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. |
| Rights: | This is the author's version of the work. Copyright (C) 2017 IEEE. 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2017, 553-560. 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. |
| URI: | http://hdl.handle.net/10119/15275 |
| Material Type: | author |
| Appears in Collections: | b11-1. 会議発表論文・発表資料 (Conference Papers)
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| 23557.pdf | | 393Kb | Adobe PDF | View/Open |
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