Abstract
With the development of streaming media service, Quality of Experience (QoE) has become the key competency for those content providers to attract customers. Many researches on QoE assessment have been conducted, but most of them had problems that those subjective experiments are difficult to be regulated and the data is not collected uniformly because of long tail effect. The purpose of this paper is to give a review of QoE assessment, which includes the concept of QoE, the influential factors, the approaches of experiment and QoE analysis and evaluation. Through the survey which shows the development of the QoE assessment, this paper indicates the future trends and challenges. Based on such current challenges and future analysis, an experiment-oriented methodology of QoE assessment is raised by conceptual model description. Also, those technologies which are based on different subjects including communication study and psychology study for supporting the methodology are described. The problems of small data volume, long tail phenomenon in QoE experiments and influence of malicious feedback will be solved by implementation of the personal QoE assessment methodology.
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Acknowledgements
This work was supported by the National Nature Science Foundation of China (61372113) and the 863 Project No. 2014AA01A706.
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Gao, M., Zhou, W., Hu, Z., Zhang, W. (2018). A Prospect of Interdisciplinary Methodology of QoE Assessment. In: Barolli, L., Enokido, T. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing . IMIS 2017. Advances in Intelligent Systems and Computing, vol 612. Springer, Cham. https://doi.org/10.1007/978-3-319-61542-4_35
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