Psychophysiological Signal Processing for Building a User Model in Adaptive e-Learning Systems

摘要

User's psychophysiological state model allows taking into account learner's emotional and physiological states during technology-based learning. The capability of recognizing the "human factor" considerably improves the Human-Computer-Interaction process and the impact of learning as well. High efficiency of such e-learning systems is achieved due to adaptation ability to learners' real-time behavior during training session. This paper proposes an approach of modeling user's psychophysiological state in adaptive e-learning systems. Biofeedback sensors are used to get real-time data about user's psychophysiological state during training sessions. The research results on measuring and analyzing user’s psychophysiological responses from biofeedback sensors are described.