Capturing User Behavior in Subjective Quality Assessment of OTT Video Service
Abstract
Customer satisfaction is an important factor governing adoption and retention of multimedia products and services, such as Over-The-Top(OTT) video transmission. Quality of Experience involves user-centric evaluation of various services. However, users differ in terms of their ratings of service quality. Some rating differences are due to unreliability (outlier users who are not motivated, or are not sensitive to differences in quality), but others are systematic differences in rating that may reflect different perspectives on quality. In this paper, we explore the use of outlier analysis and clustering as tools for interpreting QoE data. We report on experimental results demonstrating the use of outlier analysis and clustering. In interpreting the clusters, we examine users' opinions on different types of video disruption, and their ability to distinguish the different levels of impairments/failures.
Authors: Weiwei Li, Petros Spachos, Mark Chignell, Alberto Leon‐Garcia, Jie Jiang, Leon Zucherman
Published in: IEEE Global Communications Conference (GLOBECOM) (2016)