The control behind the screen: NetFlix Artificial Intelligence from the user’s perspective
Abstract
Artificial Intelligence (AI) has been widely used to enhance the user experience (UX) in many different systems around the world. Within this content, this article aims to analyze the AI used on Netflix to improve movies recommendation system, therefore to boost the UX. To reach the goal, we used evaluation resources from Human-Computer Interaction (HCI), such as a specialized usability inspection, UX evaluations, and usability with volunteer users. The results demonstrate that the blending of HCI evaluation techniques can contribute to identifying hedonic feelings of recommendations systems.
Keywords:
user experience, hedonic experiences, netflix
References
Francois Brochet, Suraj Srinivasan, and Michael Norris. 2012. Net ix: Valuing a New Business Model. (2012).
Pieter Desmet. 2000. Emotion through expression; designing mobile telephones with an emotional t. Report of Modeling the Evaluation Structure of KANSEI 3 (2000), 103–110.
Wagner Rodrigues Miranda. [n. d.]. Net ix: Big Data e os algoritmos de recomen- dação1. ([n. d.]).
Jakob Nielsen. 1994. Usability inspection methods. In Conference companion on Human factors in computing systems. ACM, 413–414.
M SELLITTO. 2002. Inteligência arti cial: uma aplicação em uma indústria de processo contínuo. Gestão & Produção 9, 3 (2002), 363–376.
Daiana Sigiliano and Eduardo Faustino. 2016. NETFLIX: Sistemas de Recomenda- ção Inteligentes http://dx. doi. org/10.15601/1983-7631/rt. v9n16p13-26. Revista Tecer 9, 16 (2016).
Pieter Desmet. 2000. Emotion through expression; designing mobile telephones with an emotional t. Report of Modeling the Evaluation Structure of KANSEI 3 (2000), 103–110.
Wagner Rodrigues Miranda. [n. d.]. Net ix: Big Data e os algoritmos de recomen- dação1. ([n. d.]).
Jakob Nielsen. 1994. Usability inspection methods. In Conference companion on Human factors in computing systems. ACM, 413–414.
M SELLITTO. 2002. Inteligência arti cial: uma aplicação em uma indústria de processo contínuo. Gestão & Produção 9, 3 (2002), 363–376.
Daiana Sigiliano and Eduardo Faustino. 2016. NETFLIX: Sistemas de Recomenda- ção Inteligentes http://dx. doi. org/10.15601/1983-7631/rt. v9n16p13-26. Revista Tecer 9, 16 (2016).
Published
2019-10-11
How to Cite
VERHALEN, Aline; MACIEL, Cristiano; DE SOUZA, Patricia; KRONBAUER, Artur.
The control behind the screen: NetFlix Artificial Intelligence from the user’s perspective. In: POSTERS & DEMONSTRATIONS - BRAZILIAN SYMPOSIUM ON HUMAN FACTORS IN COMPUTATIONAL SYSTEMS (IHC), 18. , 2019, Vitória.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
p. 37-38.
DOI: https://doi.org/10.5753/ihc.2019.8390.
