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用户体验质量(QoE)的模型与评价方法综述 被引量:152

Survey on Models and Evaluation of Quality of Experience
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摘要 随着信息时代的到来,新的多样性的信息服务大量涌现,人们对信息服务的要求也越来越高.为了获得用户对服务的认可,服务提供商必须确保良好的用户体验质量.因此,用户体验质量不仅成为学术界重要的研究课题之一,而且也成为工业界关键的服务评价指标之一.文中综述了用户体验质量的模型与评价方法等方面的工作.介绍了该领域的研究现状与进展,总结归纳了用户体验质量的影响因素、量化方法及三类评价方法学,重点讨论了几种具体的基于不同学科的用户体验质量的模型和评价方法.基于这些讨论,该文以视频流媒体服务为背景,提出了基于隐马尔可夫的用户体验质量模型,建立了基于随机模型的评价方法,对未来的研究方向进行了展望. With the advent of the information age,new services of high diversity emerge continuously.The demand of people for services is growing higher.The service providers should improve the Quality of Experience of the users,in order to keep users for their services.Therefore Quality of Experience has become one of the important topic in the academic world as well as an ultimate business metrics in the industry.In this paper,we provide a complete overview on evaluation models and methods of Quality of Experience.We summarize the influence factors,qualification methods and three evaluation methodologies,and focus on the concrete models and evaluation methods based on several disciplines.Then we provide a model of Quality of Experience for video streaming based on hidden Markov model,propose an evaluation method of QoE based on stochastic model and indicate the directions of future research on Quality of Experience.
出处 《计算机学报》 EI CSCD 北大核心 2012年第1期1-15,共15页 Chinese Journal of Computers
基金 国家"九七三"重点基础研究发展规划项目基金(2010CB328105 2009CB320504) 国家自然科学基金重点项目(60932003)资助~~
关键词 用户体验质量 统计学模型 心理学模型 人工智能模型 随机模型 QoE statistical models psychological models artificial intelligence models stochastic models
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