Resumo

FERNANDEZ-ORDONEZ, Johana Miroslava et al. User Affective Experience in environments with Artificial Intelligence, Biometric Sensors and/or Accessible Digital resources: A Systematic Literature Review. RISTI [online]. 2019, n.35, pp.35-53. ISSN 1646-9895.  https://doi.org/10.17013/risti.35.35-53.

We propose a systematic review of literature that considers the User Affective Experience (UAX) in environments with Artificial Intelligence (AI), Biometric Sensors and/or accessible Digital Resources, making a singular focus on adaptations for students with Down Syndrome. The Torres-Carrión method is applied, raising five research questions: a) UX standards in educational environments, b) strategies applied with biometric sensors to evaluate UAX, c) methods / instruments to evaluate UAX of people with Down Syndrome in educational environments, d) characteristics of the didactic resources developed for people with cognitive disabilities and e) strategies used in UAX and AI research. The search in the Scopus database generates 17 articles and 37 journals. As results, games and robotics stand out as the main resources to stimulate learning in people with cognitive disabilities, as well as the methods of inquiry with relevant and efficient results, using physiological and environmental sensors.

Palavras-chave : User Affective Experience; Artificial Intelligence; Biometric Sensors; Accessible Digital resources; Down Syndrome.

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