Personalized Multimedia Content Generation Using the QoE Metrics in Distance Learning Systems

Abstract

Personalization of multimedia learning content means to classify the multimedia content to meet a specific user’s individual interest, preference, background and situational context – captured by a user profile. Appropriate choice of multimedia learning content has become as one of the most important challenges in order to provide user with personalized distance learning material. The main contribution of this paper is the creation of new model for adaptive multimedia learning that dynamically changes the content depending of the mapping relations between the QoS and QoE metrics. The proposed model delivers personalized multimedia content tailored to user cognitive style and adapting the content according the context – aware network conditions. Main focus is given to tracking the context-aware user behavior in order to generate an appropriate and fine-grained user profile with personalized learning content. The simulation of different models of individual user profiles were developed using the OPNET network simulation software. The presented simulation results confirmed the correctness of the developed model. Keywords-personalized multimedia content; adaptive distance learning system; context-aware; OPNET; user profile.