QoE assessment method for mobile video services based on user motivation

Fumiya Kobayashi; Masataka Masuda; Takanori Hayashi

doi:10.1117/12.912084

24 January 2012 QoE assessment method for mobile video services based on user motivation

Fumiya Kobayashi, Masataka Masuda, Takanori Hayashi

Proceedings Volume 8293, Image Quality and System Performance IX; 82930W (2012) https://doi.org/10.1117/12.912084
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

Abstract

To ensure that video communication services meet the high expectations of end users, user quality of experience (QoE) must be properly considered. Therefore, various methods to assess QoE of video services have been proposed. However, several QoE assessment methods based on user motivation show that video quality is not the only perspective for QoE. To assess the QoE of video communication services, we need to obtain "user preferences" in which user interest in a video must be considered in addition to video quality, motivation, and level of motivation achievement. Additionally, we consider multiple QoE factors, such as preference and motivation achievement level, which vary for each participant. We propose a QoE assessment method for mobile video services. We provide various motivations to participants motivation before they watch videos on mobile devices. After watching, participants assess QoE for video quality, motivation achievement level, and user preference. Simultaneously, participants assess integrated QoE (IQoE), which refers to user satisfaction. We conducted an experiment using the proposed method. From the results, we concluded that taking user preference into consideration is important for QoE assessment methods based on motivation. We also clarified that the video quality level required to meet certain user expectations depends on the classification of participants.

Citation Download Citation

Fumiya Kobayashi, Masataka Masuda, and Takanori Hayashi "QoE assessment method for mobile video services based on user motivation", Proc. SPIE 8293, Image Quality and System Performance IX, 82930W (24 January 2012); https://doi.org/10.1117/12.912084

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