The quality of experience of emerging display technologies

Kara, Peter Andras (2019) The quality of experience of emerging display technologies. (PhD thesis), Kingston University, .

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Abstract

As new display technologies emerge and become part of everyday life, the understanding of the visual experience they provide becomes more relevant. The cognition of perception is the most vital component of visual experience; however, it is not the only cognition that contributes to the complex overall experience of the end-user. Expectations can create significant cognitive bias that may even override what the user genuinely perceives. Even if a visualization technology is somewhat novel, expectations can be fuelled by prior experiences gained from using similar displays and, more importantly, even a single word or an acronym may induce serious preconceptions, especially if such word suggests excellence in quality. In this interdisciplinary Ph.D. thesis, the effect of minimal, one-word labels on the Quality of Experience (QoE) is investigated in a series of subjective tests. In the studies carried out on an ultra-high-definition (UHD) display, UHD video contents were directly compared to their HD counterparts, with and without labels explicitly informing the test participants about the resolution of each stimulus. The experiments on High Dynamic Range (HDR) visualization addressed the effect of the word “premium” on the quality aspects of HDR video, and also how this may affect the perceived duration of stalling events. In order to support the findings, additional tests were carried out comparing the stalling detection thresholds of HDR video with conventional Low Dynamic Range (LDR) video. The third emerging technology addressed by this thesis is light field visualization. Due to its novel nature and the lack of comprehensive, exhaustive research on the QoE of light field displays and content parameters at the time of this thesis, instead of investigating the labeling effect, four phases of subjective studies were performed on light field QoE. The first phases started with fundamental research, and the experiments progressed towards the concept and evaluation of the dynamic adaptive streaming of light field video, introduced in the final phase.

Item Type: Thesis (PhD)
Additional Information: This research was supported by the European Union [Horizon 2020 QoE-NET (innovative Quality of Experience maNagement in Emerging mulTimedia services)]
Physical Location: Online only
Uncontrolled Keywords: Quality of Experience (QoE); perceived quality; cognitive bias; Ultra High Definition (UHD) visualization; High Dynamic Range (HDR) visualization; light field visualization
Research Area: Electrical and electronic engineering
Faculty, School or Research Centre: Faculty of Science, Engineering and Computing
Faculty of Science, Engineering and Computing > School of Computer Science and Mathematics
Depositing User: Joanne Cawkwell
Date Deposited: 31 Jul 2020 12:27
Last Modified: 31 Jul 2020 12:27
URI: http://eprints.kingston.ac.uk/id/eprint/46674

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