Diretrizes de apoio ao processo de construção de sistemas conversacionais de recomendação acessíveis: um estudo com usuários idosos

Elderly individuals often face challenges when using computational tools due to physical, cognitive, and hearing limitations. To improve accessibility, adaptive conversational systems have emerged as a promising option. This work provided guidelines for developing accessible conversational recommendation systems. Using the PLuRaL method, it was possible to conduct tests and evaluations in a participatory manner. In addition to the guidelines, the work presents various discussions that pave the way for new research and explore future possibilities in the development of more inclusive conversational technologies.

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Published
2024-10-14
DOI
https://doi.org/10.5753/webmedia_estendido.2024.244425
Primary Topic
Recommender Systems and Techniques
Type
article
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article

Diretrizes de apoio ao processo de construção de sistemas conversacionais de recomendação acessíveis: um estudo com usuários idosos

Kamila Rios da Hora Rodrigues, Lucas Padilha Modesto de Araújo, Marcelo Garcia Manzato
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Recommender Systems and Techniques
article

Diretrizes de apoio ao processo de construção de sistemas conversacionais de recomendação acessíveis: um estudo com usuários idosos

Kamila Rios da Hora Rodrigues, Lucas Padilha Modesto de Araújo, Marcelo Garcia Manzato
article en

Abstract

Elderly individuals often face challenges when using computational tools due to physical, cognitive, and hearing limitations. To improve accessibility, adaptive conversational systems have emerged as a promising option. This work provided guidelines for developing accessible conversational recommendation systems. Using the PLuRaL method, it was possible to conduct tests and evaluations in a participatory manner. In addition to the guidelines, the work presents various discussions that pave the way for new research and explore future possibilities in the development of more inclusive conversational technologies.

Universidad San Pedro (PE)
Quality Education
Openalex Percentile: Top 72%
Recommender Systems and Techniques
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