  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.
