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Designing for culturally responsive social robots: An application of a participatory framework

Integrating cultural responsiveness into the educational setting is essential to the success of multilingual students. As social robots present the potential to support multilingual children, it is imperative that the design of social robot embodiments and interactions are culturally responsive. Thi...

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Autores principales: Louie, Belinda, Björling, Elin A., Kuo, Annie Camey, Alves-Oliveira, Patrícia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630464/
https://www.ncbi.nlm.nih.gov/pubmed/36340576
http://dx.doi.org/10.3389/frobt.2022.983408
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author Louie, Belinda
Björling, Elin A.
Kuo, Annie Camey
Alves-Oliveira, Patrícia
author_facet Louie, Belinda
Björling, Elin A.
Kuo, Annie Camey
Alves-Oliveira, Patrícia
author_sort Louie, Belinda
collection PubMed
description Integrating cultural responsiveness into the educational setting is essential to the success of multilingual students. As social robots present the potential to support multilingual children, it is imperative that the design of social robot embodiments and interactions are culturally responsive. This paper summarizes the current literature on educational robots in culturally diverse settings. We argue the use of the Culturally Localized User Experience (CLUE) Framework is essential to ensure cultural responsiveness in HRI design. We present three case studies illustrating the CLUE framework as a social robot design approach. The results of these studies suggest co-design provides multicultural learners an accessible, nonverbal context through which to provide design requirements and preferences. Furthermore, we demonstrate the importance of key stakeholders (students, parents, and teachers) as essential to ensure a culturally responsive robot. Finally, we reflect on our own work with culturally and linguistically diverse learners and propose three guiding principles for successfully engaging diverse learners as valuable cultural informants to ensure the future success of educational robots.
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spelling pubmed-96304642022-11-04 Designing for culturally responsive social robots: An application of a participatory framework Louie, Belinda Björling, Elin A. Kuo, Annie Camey Alves-Oliveira, Patrícia Front Robot AI Robotics and AI Integrating cultural responsiveness into the educational setting is essential to the success of multilingual students. As social robots present the potential to support multilingual children, it is imperative that the design of social robot embodiments and interactions are culturally responsive. This paper summarizes the current literature on educational robots in culturally diverse settings. We argue the use of the Culturally Localized User Experience (CLUE) Framework is essential to ensure cultural responsiveness in HRI design. We present three case studies illustrating the CLUE framework as a social robot design approach. The results of these studies suggest co-design provides multicultural learners an accessible, nonverbal context through which to provide design requirements and preferences. Furthermore, we demonstrate the importance of key stakeholders (students, parents, and teachers) as essential to ensure a culturally responsive robot. Finally, we reflect on our own work with culturally and linguistically diverse learners and propose three guiding principles for successfully engaging diverse learners as valuable cultural informants to ensure the future success of educational robots. Frontiers Media S.A. 2022-10-20 /pmc/articles/PMC9630464/ /pubmed/36340576 http://dx.doi.org/10.3389/frobt.2022.983408 Text en Copyright © 2022 Louie, Björling, Kuo and Alves-Oliveira. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Louie, Belinda
Björling, Elin A.
Kuo, Annie Camey
Alves-Oliveira, Patrícia
Designing for culturally responsive social robots: An application of a participatory framework
title Designing for culturally responsive social robots: An application of a participatory framework
title_full Designing for culturally responsive social robots: An application of a participatory framework
title_fullStr Designing for culturally responsive social robots: An application of a participatory framework
title_full_unstemmed Designing for culturally responsive social robots: An application of a participatory framework
title_short Designing for culturally responsive social robots: An application of a participatory framework
title_sort designing for culturally responsive social robots: an application of a participatory framework
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630464/
https://www.ncbi.nlm.nih.gov/pubmed/36340576
http://dx.doi.org/10.3389/frobt.2022.983408
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