An Enhanced Analytical Framework Integrating aspects of Network and Application performance, Psychology, and Content in QoE Assessment for Web browsing

Evaluation of Quality of Experience (QoE) for web browsing is a challenging topic as it involves many different factors related to human as well as technical issues. To understand such a large number of human and technical metrics is both difficult and tricky. Two main objectives of the research presented in this paper are to propose and develop a new QoE assessment approach based on a comprehensive set of key metrics for web browsing. The paper starts by evaluating each metric related to users’ score before integrating them all into the assessment. Then, the proposed QoE assessment of Web based services uses a comprehensive set of metrics in order to construct a full and detailed understanding of users’ experiences in a web based service environment. Finally, the paper presents an investigation into the applicability of a mixed effect model for prediction of QoE based on the proposed set of metrics. The analysis of objective factors and Psychological Support of Content is presented with an emphasis on fixed and random effects. The analysis and validation of QoE assessment of Web based traffic using both objective parameters from networking, application, and content perspectives have shown the efficacy of the proposed assessment. The paper aims at getting better understanding of how users experience web browsing by applying a comprehensive set of metrics which has been computed to determine the overall web user QoE. Keywords-Quality of Experience; QoE for web based services; user’s perception;