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.

An intelligent and generic approach for detecting human emotions: a case study with facial expressions

“…4). Our case study, which involves a music player, FlexPersuade loads the playlist that best suits the user's current emotional state (Mano et al 2016c). For example, if the framework ranks the user's emotional experience as "sad", the player loads a playlist best suited to this feeling, or even tries to "persuade" to lower the level of sadness and change his/her emotional state.…”

VERBO: Voice Emotion Recognition dataBase in Portuguese Language

“…In addition, the database allows making an advanced design of systems to convert texts to voice (e.g., transcribe foreign speech) or systems of language education in LIBRAS Frota et al (2015); Durlak (2015); Weiss et al (2017). In Ambient Assisted Living, our database can help in assisting people with disabilities to communicate and to provide interactivity with computer systems or smartphones (e.g., to recognize Gonçalves et al (2016); Mano et al (2016a;2016c) and conduct decision-making process by speech Filho et al (2018); Khunt and Prabu (2018)). Also, the VERBO may provide the support needed for serious game applications in the treatment of children with autism, and in engaging of teenagers with Down Syndrome, improving their communication and speech skills Bernardini et al (2014); Gonzàlez-Ferreras et al (2017).…”