Keynotes

User emotional states can seriously affect user´s psychomotor and decision-making capabilities. The goal of this research is to develop a system to recognize task-specific negative user affective states (e.g. fatigue and stress), and to provide the appropriate intervention to compensate performance decrement resulted from these negative states. The proposed system consists of two major components: multi-modality user state sensing, and user affect and assistance modeling.