Abordagem para a interação afetiva: um estudo de caso com player de música

Abstract

Current studies in the field of Human-Computer Interaction highlight the relevance of emotional aspects while interacting with computers systems. It is believed that by allowing intelligent agents to identify user’s emotions it becomes possible to induce and arouse emotions itself in order to stimulate the users in their activities. One of the great challenges for researchers is to provide systems capable of recognizing, interpreting and reacting intelligently and sensitively to the emotions of the user. In this sense, we propose an affective interaction between the music player and the user that is based on emotional recognition through the interpretation of facial expressions. Therefore, this project aims to develop and evaluate a system that can identify the user’s emotional state and provide a persuasive mechanism to change it (with a case study in music player). Also, explore the flexible approach in persuasion through persuasive mechanisms that may vary between a music player, games and / or videos. Thus, throughout the study, the model based on the Classification Committee was efficient in identifying the basic emotions and the satisfaction of the users through the application with the music player.