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Dezembro 2022 vol. 10 num. 5 - 14º Congresso Brasileiro de Pesquisa e Desenvolvimento em Design

Artigo - Open Access.

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A transparência de sistemas de recomendação de plataformas de Vídeo sob Demanda (VoD): categorias de conteúdos

Transparency of Video on Demand (VoD) platforms recommender systems: content categories

RUIZ, Cinthia ; QUARESMA, Manuela ;

Artigo:

Este artigo objetiva investigar a transparência do sistema de recomendação de plataformas de vídeo sob demanda baseado em Inteligência Artificial e Aprendizado de Máquina. Com os algoritmos cada vez mais presentes em nossas vidas e trazendo mudanças de interação, faz-se necessário o olhar sobre a experiência de uso. A falta de transparência dos algoritmos acarreta problemas para o usuário, como modelo mental inadequado, dificuldades para o controle do sistema e falta de confiança nas recomendações. Foi realizado, então, um estudo por meio de um workshop de design para envolver usuários e designers em possíveis soluções com Explainable AI. Como resultado, foram apontadas oportunidades para melhorar a explicabilidade das recomendações.

Artigo:

This article aims to investigate the transparency of video-on-demand platforms recommender system based on Artificial Intelligence and Machine Learning. With algorithms increasingly present in our lives and bringing changes in interaction, it is necessary to look at the experience of use. The lack of transparency of the algorithms causes problems for the user, such as an inadequate mental model, difficulties in controlling the system and lack of confidence in the recommendations. A study was then carried out through a design workshop to involve users and designers in possible solutions with Explainable AI. As a result, opportunities were identified to improve the explainability of the recommendations.

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Palavras-chave: Experiência do Usuário; Transparência; Aprendizado de máquina.,

Palavras-chave: User Experience; Transparency; Machine Learning.,

DOI: 10.5151/ped2022-1591479

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Como citar:

RUIZ, Cinthia; QUARESMA, Manuela; "A transparência de sistemas de recomendação de plataformas de Vídeo sob Demanda (VoD): categorias de conteúdos", p. 1609-1624 . In: Anais do 14º Congresso Brasileiro de Pesquisa e Desenvolvimento em Design. São Paulo: Blucher, 2022.
ISSN 2318-6968, DOI 10.5151/ped2022-1591479

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