A computação afetiva como recurso para estudos de usabilidade em práticas de product discovery: uma abordagem utilizando Machine Learning

Abstract

The new software product development led both startups and big companies to seek methodological alternatives to reduce risks, guiding stages of technological development based on systematic user evaluations. Product discovery is an innovation managing method guided by empirical verification of product hypotheses and employs usability research techniques in its initiatives. Face-to-face mediated usability tests are one such technique; however, these tests lack measurement instruments and can reproduce inherent biases in qualitative interviews. To fill this void, this study aims to purpose an emotion classification solution developed in usability tests, Machine Learning resources were used. Furthermore we propose a conceptual approach between usability studies and the affective computing field.