Generation of Quality Taxonomies for Auditory Virtual Environments by Means of a Systematic Expert Survey
Generation of Quality Taxonomies for Auditory Virtual Environments by Means of a Systematic Expert Survey
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通过系统的专家调查生成听觉虚拟环境的质量分类法
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
A. Silzle
中科院分区：
文献类型：
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作者：
A. Silzle
引言和动机交互式听觉虚拟环境（AVE）的一般质量分类在[1]中提出，见图1。质量要素（QE）表征技术应用的实施，影响质量特征（QF）。这些QF描述了感知和质量判断的定义部分。所有QF的组合产生用户的体验质量（QoE）。系统质量（QoS）描述了用户的QoE和由QE的实现所定义的成本的组合。
Introduction and Motivation A general Quality Taxonomy for interactive Auditory Virtual Environments (AVE) was presented in [1], see Figure 1. The Quality Elements (QE), characterising the implementation of a technical application, influence the Quality Features (QF). These QFs describe a defined part of the perception and quality judgement. A combination of all QFs yields the user’s Quality of Experience (QoE). The Quality of System (QoS) describes the combination of the QoE of the user and the cost defined by the implementation of the QEs.