影响生态有效实验经验视频质量的因素:测量和理论模型

Kamil Koniuch
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引用次数: 0

摘要

用户对多媒体质量的感知和对多媒体服务的满意度是体验质量(QoE)领域各种研究的主题。在这方面,质量的主观研究是多媒体优化过程的重要组成部分。然而,质量评价的研究必须面对质量评价的多维性,并解决质量评价受多种因素影响的问题。为了解决这个问题,测量QoE的实验通常通过管理实验室协议来限制影响主观判断的因素范围。然而,用这种协议收集的结果的普遍性是有限的。建议的博士论文旨在解决这一挑战。为了提高QoE研究的普遍性,我们首先确定了在自然环境中影响用户多媒体体验的因素。本文在文献综述和原创研究的基础上,提出了一种新的视频QoE理论模型。这个新的理论框架使我们能够提出新的实验设计,以一种累加的方式逐一引入影响因素。由于该模型,我们还可以提出可比较的实验,这些实验可能在生态有效性上有所不同。本文提出的理论框架可以适用于未来的其他多媒体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors Influencing Video Quality of Experience in Ecologically Valid Experiments: Measurements and a Theoretical Mode
Users' perception of multimedia quality and satisfaction with multimedia services are the subject of various studies in the field of Quality of Experience (QoE). In this respect, subjective studies of quality represent an important part of the multimedia optimization process. However, researchers who measure QoE have to face its multidimensional character and address the fact that quality perception is influenced by numerous factors. To address this issue, experiments measuring QoE often limit the scope of factors influencing subjective judgments by administering laboratory protocols. However, the generalizability of the results gathered with such protocols is limited. The proposed PhD dissertation aims to address this challenge. In order to increase the generalizability of QoE studies we started with an identification of factors influencing user multimedia experience in a natural context. We proposed a new theoretical model of video QoE based on both original research and a literature review. This new theoretical framework allowed us to propose new experimental designs introducing influencing factors one by one in an additive manner. Thanks to the model, we can also propose comparable experiments which could differ in ecological validity. The proposed theoretical framework can be adjusted to other multimedia in the future.
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