TY - GEN
T1 - QoE beyond the MOS
T2 - 2015 7th International Workshop on Quality of Multimedia Experience, QoMEX 2015
AU - Hoßfeld, Tobias
AU - Heegaard, Poul E.
AU - Varela, Martin
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/2
Y1 - 2015/7/2
N2 - Traditionally, Quality of Experience (QoE) assessment results (or objective estimations thereof) are presented as a single scalar value, typically a Mean Opinion Score (MOS). While useful, the limitations of MOS are evident even in its name; for many applications, just having a mean value is simply not enough. For service providers in particular, it would be 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 paper we propose different statistical measures to express important aspects of QoE beyond MOS like user diversity, uncertainty of user rating distributions, ratio of dissatisfied users. Further, we propose a way to use MOS values and the standard deviation of opinion scores (SOS) hypothesis, which postulates a quadratic relation between subjective scores and their standard deviation, in order to derive quantiles for subjective ratings.
AB - Traditionally, Quality of Experience (QoE) assessment results (or objective estimations thereof) are presented as a single scalar value, typically a Mean Opinion Score (MOS). While useful, the limitations of MOS are evident even in its name; for many applications, just having a mean value is simply not enough. For service providers in particular, it would be 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 paper we propose different statistical measures to express important aspects of QoE beyond MOS like user diversity, uncertainty of user rating distributions, ratio of dissatisfied users. Further, we propose a way to use MOS values and the standard deviation of opinion scores (SOS) hypothesis, which postulates a quadratic relation between subjective scores and their standard deviation, in order to derive quantiles for subjective ratings.
UR - http://www.scopus.com/inward/record.url?scp=84939485745&partnerID=8YFLogxK
U2 - 10.1109/QoMEX.2015.7148142
DO - 10.1109/QoMEX.2015.7148142
M3 - Conference contribution
AN - SCOPUS:84939485745
T3 - 2015 7th International Workshop on Quality of Multimedia Experience, QoMEX 2015
BT - 2015 7th International Workshop on Quality of Multimedia Experience, QoMEX 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 26 May 2015 through 29 May 2015
ER -