Cinthia Ruiz

UX Manager

I am Doctor in Science in design from PUC-Rio (2022) and Master in Digital Arts from Pompeu Fabra University in Barcelona (2005). Specialist in Interface Design, Usability and Information Architecture from PUC-Rio (2010). Specialist in Marketing from UCAM (2008). Bachelor in Industrial Design, Visual Programming from UFRJ (2002). I have professional experience in Product Design, UX Design, UX Research, Team Management and IT Project Management. I currently hold the position of UX Manager at ViaHub (Casas Bahia group). I also have experience as a professor in UX Design, teaching undergraduate and graduate courses at ESPM, PUC-Rio, Senac Rio and Infnet.

Research Project

User experience with Artificial Intelligence: Machine Learning on VoD platforms

Nowadays, amidst the large volume of content available for people's consumption, a wide variety of data has been stored by companies to analyze and generate knowledge that can be used in favor of the companies' businesses. ML knowledge is already present in many of the innovative interfaces we interact with, such as Video on Demand (VoD) platforms. ML algorithms can make suggestions or predictions for a specific situation, which allows a personalized experience for each user. Therefore, it changes the way we interact and how we develop systems. This research proposes a reflection on the impacts on the users' experience with the insertion of ML algorithms in digital interfaces. To this end, we seek to understand the current scenario of VoD platforms with ML mechanisms incorporated concerning the users' experience. We want to understand what aspects of the AI principles relate to the UX and how they are met — also, mapping the UX methods and techniques best suited to the new design needs and challenges for the designers involved. The expected result for this research is the understanding of how the role of UX Designer can collaborate with ML projects.

Publications

Ruiz, C., & Quaresma, M. (2022). Explainable AI for Entertainment: Issues on Video on Demand Platforms. In N. L. Black, W. P. Neumann, & I. Noy (Eds.), Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021). IEA 2021. Lecture Notes in Networks and Systems, vol 223 (pp. 699–707). Springer, Cham. https://doi.org/10.1007/978-3-030-74614-8_87

Ruiz, C., & Quaresma, M. (2021). UX Aspects of AI Principles: The Recommender System of VoD Platforms. In M. M. Soares, E. Rosenzweig, & A. Marcus (Eds.), Design, User Experience, and Usability: Design for Contemporary Technological Environments. HCII 2021. Lecture Notes in Computer Science, vol 12781 (pp. 535–552). Springer, Cham. https://doi.org/10.1007/978-3-030-78227-6_38

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

RUIZ, Cinthia; QUARESMA, Manuela. THE PARTICIPATION OF UX DESIGNERS IN ARTIFICIAL INTELLIGENCE PROJECTS: RECOMMENDER SYSTEMS. Ergodesign &amp; HCI, [S.l.], v. 10, n. 1, p. 87-99, june 2022. ISSN 2317-8876. Disponível em: <http://periodicos.puc-rio.br/index.php/revistaergodesign-hci/article/view/1750>. Acesso em: 31 aug. 2023. doi: http://dx.doi.org/10.22570/ergodesignhci.v10i1.1750.

RUIZ, Cinthia; QUARESMA, Manuela; "O envolvimento do UX designer com projetos de inteligência artificial: sistema de recomendação", p. 926-937 . In: Anais do 18º Congresso Internacional de Ergonomia e Usabilidade de Interfaces Humano-Tecnologia e o 18º Congresso Internacional de Ergonomia e Usabilidade de Interfaces e Interação Humano-Computador. São Paulo: Blucher, 2022. ISSN 2318-6968, DOI 10.5151/18ergodesignusihc2022-59

RUIZ, C.; QUARESMA, M. Inovação com dados: a experiência do usuário com sistemas baseados em inteligência artificial. Human Factors in Design, Florianópolis, v. 10, n. 20, 2021. DOI: 10.5965/2316796310202021023. Disponível em: https://periodicos.udesc.br/index.php/hfd/article/view/18511. Acesso em: 31 ago. 2023.