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An Evaluation of QoE in Cloud Gaming Based on Subjective Tests
TLDR
In this paper we present the results of a subjective user study we conducted into the user-perceived quality of experience in Cloud Gaming. Expand
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Internet Video Delivery in YouTube: From Traffic Measurements to Quality of Experience
TLDR
We investigate the impact of delivery via the Internet on the user experienced quality (QoE) of YouTube video streaming is quantified. Expand
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SOS: The MOS is not enough!
TLDR
We emphasize the importance of considering the Standard deviation of Opinion Scores (SOS) and analyze important characteristics of this measure. Expand
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“Time is bandwidth”? Narrowing the gap between subjective time perception and Quality of Experience
TLDR
We address the question whether it is sufficient to reduce typical Web QoE assessment scenarios to the temporal aspects of waiting for task completion, which would allow to attribute the resulting logarithmic laws to well-known psychological insights on human time perception. Expand
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Initial delay vs. interruptions: Between the devil and the deep blue sea
TLDR
We quantify the impact of initial delays on the user perceived Quality of Experience (QoE) for different application scenarios by means of subjective laboratory and crowdsourcing studies. Expand
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Challenges of QoE management for cloud applications
TLDR
Cloud computing is currently gaining enormous momentum due to a number of promised benefits: ease of use in terms of deployment, administration, and maintenance, along with high scalability and flexibility to create new services. Expand
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Waiting times in quality of experience for web based services
TLDR
A considerable share of applications such as web or e-mail browsing, online picture viewing and file downloads imply waiting times for their users, which is due to the turn-taking of information requests by the user and correspoding response times until each request is fulfilled. Expand
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Assessing effect sizes of influence factors towards a QoE model for HTTP adaptive streaming
TLDR
A subjective investigation of the influence of several adaptation parameters, namely, switch amplitude (i.e., quality level difference), switching frequency, and recency effects, on Quality of Experience (QoE). Expand
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The memory effect and its implications on Web QoE modeling
TLDR
We identified the memory effect as a key influence factor for Web QoE modeling based on subjective user studies. Expand
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QoE beyond the MOS: an in-depth look at QoE via better metrics and their relation to MOS
TLDR
We present other statistical tools that provide a much more comprehensive view of how quality is perceived by the users, and illustrate it all by analyzing the results of several subjective studies with these tools. Expand
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