YouTube QoE Evaluation Tool for Android Wireless Terminals

TL;DR

This paper introduces an Android app that evaluates YouTube QoE on wireless devices by measuring QoS parameters, mapping them to subjective MOS scores, and providing user feedback and suggestions for improvement.

Contribution

The paper presents a novel Android tool for real-time YouTube QoE assessment on wireless terminals, integrating objective measurements with subjective user feedback.

Findings

The theoretical QoE model is slightly pessimistic compared to user feedback.

Users are more tolerant of wireless connection issues, increasing MOS by about 20%.

The app effectively correlates objective QoS metrics with subjective user experience.

Abstract

In this paper, we present an Android application which is able to evaluate and analyze the perceived Quality of Experience (QoE) for YouTube service in wireless terminals. To achieve this goal, the application carries out measurements of objective Quality of Service (QoS) parameters, which are then mapped onto subjective QoE (in terms of Mean Opinion Score, MOS) by means of a utility function. Our application also informs the user about potential causes that lead to a low MOS as well as provides some hints to improve it. After each YouTube session, the users may optionally qualify the session through an online opinion survey. This information has been used in a pilot experience to correlate the theoretical QoE model with real user feedback. Results from such an experience have shown that the theoretical model (taken from the literature) provides slightly more pessimistic results compared to user feedback. Users seem to be more indulgent with wireless connections, increasing the MOS from the opinion survey in about 20% compared to the theoretical model, which was obtained from wired scenarios.