Configuration et exploitation d'une machine émotionnelle
This work explores the feasibility of equipping computers with the ability to predict, in a context of a human computer interaction, the probable user’s emotion and its intensity for a wide variety of emotion-eliciting situations. More specifically, an online framework, the Emotional Machine, is developed enabling computers to «understand» situations using OCC model of emotion and to predict user’s reaction by combining refined versions of Artificial Neural Network and k Nearest Neighbours algorithms. An empirical procedure including a web-based anonymous questionnaire for data acquisition was designed to provide the chosen machine learning algorithms with a consistent knowledge and to test the application’s recognition performance. Results from the empirical investigation show that the proposed Emotional Machine is capable of producing accurate predictions. Such an achievement may encourage future using of our framework for automated emotion recognition in various application fields.
Automated emotion recognition Human computer interaction Machine learning Affective computing