Adaptive multimedia delivery in m-learning systems using profiling

Abstract

The importance of mobile services in our everyday life is growing and there is an increased necessity for adapting the multimedia content according to the user’s requirements. Therefore, first we need to determine user cognitive preference in order to be able to make adaptation of the multimedia content to mobile user desires. This process of estimation of user profile characteristics and determining which services can be offered for the end user is profiling. This research will inspect the influence of profiling regarding the visualizer verbalizer dimension of cognitive style in m-learning systems. We have conducted research experiments for different scenarios by using discrete event simulation in OPNET simulator. This paper considers the significance of high QoS requirements that are essential to achieve higher continuity of real-time delivery of multimedia contents.