Abstract
While Quality of Experience (QoE) has advanced very
significantly as a field in recent years, the methods
used for analyzing it have not always kept pace. When QoE
is studied, measured or estimated, practically all the
literature deals with the so-called Mean Opinion Score
(MOS). The MOS provides a simple scalar value for QoE,
but it has several limitations, some of which are made
clear in its name: for many applications, just having a
mean value is not sufficient. For service and content
providers in particular, it is more interesting to have
an idea of how the scores are distributed, so as to
ensure that a certain portion of the user population is
experiencing satisfactory levels of quality, thus
reducing churn. In this article we put forward the
limitations of MOS, present other statistical tools that
provide a much more comprehensive view of how quality is
perceived by the users, and illustrate it all by
analyzing the results of several subjective studies with
these tools.
Original language | English |
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Number of pages | 23 |
Journal | Quality and User Experience |
Volume | 1 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2016 |
MoE publication type | A1 Journal article-refereed |
Keywords
- quality of experience
- mean opinion score
- metrics
- statistics
- quantiles
- acceptability
- rating distribution