Subjective measurement and instrumental estimation of mobile online gaming quality based on perceptual dimensions

本研究旨在探讨与移动的线上游戏相关的品质构面之辨识、主观测量与工具预测。该想法是描述流传输的移动的游戏的质量，其听觉和视觉输出在基于IP的信道上以真实的时间传输，作为多维空间中的感知事件，并在此基础上定义有效且可靠的质量预测模型。这样的模型不仅估计整体质量，而且诊断质量下降的原因和相关的感知影响。在先前关于在固定设置中与游戏的交互的质量的感知维度的工作之后，第一步是识别与移动的游戏相关联的感知质量维度（即，在具有有限计算资源和受限网络连接的手持设备上与游戏的交互）。这是通过使用适配的开源云游戏测试床进行多维心理测量分析来实现的，该测试床允许人类测试参与者通过有损传输信道发送压缩音频和视频数据的典型质量降级。为了量化所确定的维度，将建立一种新的主观测试方法，该方法包括结构化交互测试，并有效地测量所有维度以及整体质量。该测试方法用于收集测试台参数和相应主观评级的数据库。数据库形成用于导出各个感知维度的质量估计的基础，并且在第二步骤中，导出整体游戏质量的基础。最后使用进一步研究中收集的数据对所导出的模型进行验证。

This research project aims at the identification, subjective measurement and instrumental prediction of quality dimensions associated with mobile online gaming. The idea is to describe the quality of a streamed mobile game, with its audible and visual output being transmitted over an IP-based channel in real time, as a perceptual event in a multidimensional space, and to define a valid and reliable quality prediction model on this basis. Such a model estimates not only overall quality, but also diagnoses causes and related perceptual effects of quality degradations. Following prior work on perceptual dimensions of the quality of an interaction with a game in a stationary setting, the first step is to identify perceptual quality dimensions associated with mobile gaming (i.e. the interaction with a game on a handheld device with limited computational resources and constrained network connectivity). This is achieved via multidimensional psychometric analyses using an adapted open-source cloud gaming test bed, which allows typical quality degradations of sending compressed audio- and video data over a lossy transmission channel to be experienced by human test participants. In order to quantify the identified dimensions, a new subjective test method will be established which consists of a structured interaction test and efficiently measures all dimensions as well as the overall quality. This test method is used to collect databases of test bed parameters and corresponding subjective ratings. The databases form the basis for deriving quality estimations of individual perceptual dimensions and - in a second step - of overall gaming quality. The derived model is finally validated using data gathered in a further study.