The research of quality of experience evaluation method in pervasive computing environment

Currently, the satisfaction of user is becoming one of the most important topics concerned by the service provider. Existing methods used for evaluating the quality of experience (QoE) mostly rely on user survey and scores from the user, which are too subjective and need much processing time and cost. Pervasive computing environment brings the method of QoE evaluation a new viewpoint through kinds of evidence context related to QoE. In the paper, the QoE evaluation method in pervasive computing environment is studied, QoE evaluation parameter model is enhanced, a rough-set based algorithm is proposed to reduce context attributes and determine the weight of each attribute, the algorithm has been validated on video streaming service, and the architecture of QoE evaluation system is described.