YouTube QoE Evaluation Tool for Android Wireless Terminals
This work addresses QoE assessment for YouTube users on wireless Android devices, but it is incremental as it applies an existing model to a new context with minor validation.
The authors developed an Android app to evaluate YouTube's Quality of Experience (QoE) on wireless devices by mapping objective QoS parameters to a subjective Mean Opinion Score (MOS), and found that users are about 20% more tolerant of wireless connections compared to theoretical models from wired scenarios.
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.