Subjective Quality Assessment for Cloud Gaming

J

卷:4

Maria G. Martini¹  John Schormans²  Nafi Ahmad²  Abdul Wahab² 

[1] School of Computer Science and Mathematics, Kingston University, River House, 53-57 High Street, Kingston upon Thames, Surrey KT1 1LQ, UK;

[2] School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile End Road, London E1 4NS, UK;

关键词: quality of experience (QoE);    quality of service (QoS);    packet loss ratios (PLR);    cloud gaming;    interactive gaming;    video QoE;   

DOI  :  10.3390/j4030031

来源: DOAJ

【 摘 要 】

Using subjective testing, we study the effect of the network parameters, delay and packet loss ratio, on the QoE of cloud gaming. We studied three different games, selected based on genre, popularity, content complexity and pace, and tested them in a controlled network environment, using a novel emulator to create realistic lognormal delay distributions instead of relying on a static mean delay, as used previously; we also used Parsec as a good representative of the state of the art. We captured user ratings on an ordinal Absolute Category Rating scale for three quality dimensions: Video QoE, Game-Playability QoE, and Overall QoE. We show that Mean Opinion Scores (MOS) for the game with the highest levels of content complexity and pace are most severely affected by network impairments. We also show that the QoE of interactive cloud applications rely more on the game playability than the video quality of the game. Unlike earlier studies, the differences in MOS are validated using the distributions of the underlying dimensions. A Wilcoxon Signed-Rank test showed that the distributions of Video QoE and Game Playability QoE are not significantly different.

【 授权许可】

Unknown