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Designing for culturally responsive social robots: An application of a participatory framework.
Louie, Belinda; Björling, Elin A; Kuo, Annie Camey; Alves-Oliveira, Patrícia.
Afiliação
  • Louie B; School of Education, University of Washington-Tacoma, Tacoma, WA, United States.
  • Björling EA; Human Centered Design and Engineering, University of Washington, Seattle, WA, United States.
  • Kuo AC; Center to Support Excellence in Teaching, Stanford University, Palo Alto, WA, United States.
  • Alves-Oliveira P; Paul Allen Center for Computer Science, University of Washington, Seattle, WA, United States.
Front Robot AI ; 9: 983408, 2022.
Article em En | MEDLINE | ID: mdl-36340576
ABSTRACT
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article