Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceArtificial Intelligence (AI) has been praised as the next big thing in the computing revolution, and it's been touted as a game-changer in a variety of fields, including healthcare. The increasing popularity of this technology is driving early adoption and leading to a lack of consideration of the patient perspective in its use, bringing new sources of distrust that come from the absence of human attributes.
This study aims to address this problem by presenting a strategy in the area of affective computing that will combat this absence of empathy experienced by the patient during a medical process. To reach this goal, a Design Science Research Methodology will be followed. A preliminary literature study had already been completed, and the research topic and objectives had been established. In addition, to apply the artifact developments, a bot will be built and evaluated by a set of users.
The increased awareness of these AI systems will, expectedly, stimulate their use. By adding new research into the affective computing field, it is also expected to contribute to the digital healthcare evolution and to encourage further scientific progress in this area
