QoE影响因素(IFs)分类调查侧重于用户行为/粘性指标

Fatima Laiche, Asma BEN LETAIFA, T. Aguili
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引用次数: 3

摘要

在过去的几年中,多媒体流媒体服务的发展导致了体验质量(QoE)的增长和重大探索,因为QoE的概念正在获得大量的研究工作,但它仍然很复杂。这种估计可能受到各种质量影响因素的影响。在这项工作中,我们提供了标准的定义,我们回顾和调查了现有的模型来分类QoE影响因素(IFs)。此外,我们将质量质量评价因子分为四类:系统因素、环境因素、人为因素和社会行为因素。最后,针对质量质量指标,我们重点介绍了一些相关研究。我们相信我们的综述和研究结果可以为理解视频通信的相关质量影响因素和质量质量评估方法提供帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QoE Influence Factors (IFs) classification Survey focusing on User Behavior/Engagement metrics
Over the last few years, the evolution of multimedia streaming services has resulted in growth and significant explorations of Quality of Experience (QoE) since the concept of QoE is gaining an enormous research effort, but it is still complex to estimate. This estimation can be influenced by a wide range of quality affecting factors. In this work, we provide standard definitions, we review and survey existing models to classify QoE Influence Factors (IFs). Moreover, we present a classification of the QoE IFs into four groups: system factors, context factors, human factors, and social-behavioral factors. Finally, regarding the QoE IFs, we highlight some relevant studies. We believe that our overview and findings can provide an understanding of the related quality affecting factors and QoE assessment approaches over video communications.
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