2 research outputs found
Analysis of Problem Tokens to Rank Factors Impacting Quality in VoIP Applications
User-perceived quality-of-experience (QoE) in internet telephony systems is
commonly evaluated using subjective ratings computed as a Mean Opinion Score
(MOS). In such systems, while user MOS can be tracked on an ongoing basis, it
does not give insight into which factors of a call induced any perceived
degradation in QoE -- it does not tell us what caused a user to have a
sub-optimal experience. For effective planning of product improvements, we are
interested in understanding the impact of each of these degrading factors,
allowing the estimation of the return (i.e., the improvement in user QoE) for a
given investment. To obtain such insights, we advocate the use of an
end-of-call "problem token questionnaire" (PTQ) which probes the user about
common call quality issues (e.g., distorted audio or frozen video) which they
may have experienced. In this paper, we show the efficacy of this questionnaire
using data gathered from over 700,000 end-of-call surveys gathered from Skype
(a large commercial VoIP application). We present a method to rank call quality
and reliability issues and address the challenge of isolating independent
factors impacting the QoE. Finally, we present representative examples of how
these problem tokens have proven to be useful in practice