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ORCID

https://orcid.org/0000-0002-2466-7497

Abstract

Quality of experience (QoE) over wireless networks has attracted attention from industry and academia due to an increase in video streaming applications. Several researchers have attempted to understand the factors affecting QoE and design appropriate quality control strategies. Normally, video streaming is initiated by a user who accesses video content over a network using a smart device that may be held at various viewing distances. Each aforementioned factor has the potential to affect QoE. However, several studies explore the behavior of wireless networks on video streaming QoE. To understand the effects of other factors on QoE, this paper investigates the influence of the device's visual features and viewing distance when accessing video content of different types. The study adopted an emulation technique to conduct multi-factor experiments designed using the Taguchi method. The 5-ways ANOVA analysis revealed that the effects of smart-device visual features, viewing distance, and content types are significant on video streaming QoE at p<0.05. Moreover, smart devices with a pixel density index of more than 200 pixels per inch (ppi) produce high QoE, when the viewing distance is limited to 45 cm. Lastly, the video bitrate greater than 1024 kbps produces a good QoE regardless of the frame rates and content types.

Publisher Name

University of Dar es Salaam

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