Temporal Development of Quality of Experience

Weiß, Benjamin; Guse, Dennis; Möller, Sebastian; Raake, Alexander; Borowiak, Adam; Reiter, Ulrich

doi:10.1007/978-3-319-02681-7_10

Cited by 24 publications

(16 citation statements)

References 23 publications

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“…Taking the average of all individual stimulus judgments as a basis (resulting in a correlation using Pearson's R of around 0.90), the prediction performance could be improved to around 0.98 by including a recency effect and a model of individual strongly negative ratings. Similar results were obtained for video telephony [3], increasing the correlation from 0.93 for the plain average to approx. 0.97 for models including recency and strongly negative samples effects.…”

Section: Motivation and Introductionsupporting

confidence: 84%

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Modelling multi-episodic quality perception for different telecommunication services: First insights

Guse

Weiß

Möller

2014

2014 Sixth International Workshop on Quality of Multimedia Experience (QoMEX)

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Most studies on the perceptual quality evaluation of multimedia services are limited to short media samples or episodes, although typical usage of services occurs in a more regular way over longer periods of exposure (weeks, months or years). So far, it is unclear how the experience of individual episodic use is integrated to form an experience of one service as a whole, spanning over multiple usage episodes. In this paper, we present two studies on the quality experienced during multi-episodic usage of different media and communication services, and first approaches to model multi-episodic quality judgments. An analysis of the data shows that the particular instance of episodic judgment strongly affects the integration function, which makes it difficult to derive models of general validity. Ways to overcome the observed limitations are discussed.

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Section: Motivation and Introductionsupporting

confidence: 84%

“…one telephone call or one movie), several cognitive effects have been observed, see e.g. [3,4,5] for an overview. Typically, averaging of the quality judgments of all segments of an episodic stimulus only explains part of the variance of the episodic judgments.…”

Section: Motivation and Introductionmentioning

confidence: 99%

Modelling multi-episodic quality perception for different telecommunication services: First insights

Guse

Weiß

Möller

2014

2014 Sixth International Workshop on Quality of Multimedia Experience (QoMEX)

Self Cite

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“…This session-based QoE allows to derive long-term QoE fairness. There are also attempts to capture instantaneous QoE [11] which allows to derive short-term QoE and consequently short-term QoE fairness. In a system with several users, the set of observed QoS parameters over all users (in the steady state or the transient phase) is a random variable (RV) X, which means that after the mapping the QoE value Y is also a RV.…”

Section: Definition Of the Qoe Fairness Index A Notionmentioning

confidence: 99%

Definition of QoE Fairness in Shared Systems

HoBfeld¹,

Skorin‐Kapov²,

Heegaard³

et al. 2017

Preprint

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Abstract-User-centric service and application management focuses on the Quality of Experience (QoE) as perceived by the end user. Thereby, the goal is to maximize QoE while ensuring fairness among users, e.g., for resource allocation and scheduling in shared systems. Although the literature suggests to consider consequently QoE fairness, there is currently no accepted definition of QoE fairness. The contribution of this paper is the definition of a generic QoE fairness index F which has desirable key properties as well as the rationale behind it. By using examples and a measurement study involving multiple users downloading web content over a bottleneck link, we differentiate the proposed index from QoS fairness and the widely used Jain's fairness index. Based on results, we argue that neither QoS fairness nor Jain's fairness index meet all of the desirable QoE-relevant properties which are met by F . Consequently, the proposed index F may be used to compare QoE fairness across systems and applications, thus serving as a benchmark for QoE management mechanisms and system optimization.

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“…In the following, Free Use experiment, this relationship was not found, whereas (1) a decrease in the amount of interaction as well as (2) a negative correlation of QoE with buffering events length was found. The reasons for this disExperiencing Live Events TVX 2015, June 3-5, 2015, Brussels, Belgium crepancy may be diverse, and possibly touch upon problems related to long-term usage of applications and services [19].…”

Section: Discussionmentioning

confidence: 99%

Interactive UHDTV at the Commonwealth Games

Redi

D'Acunto

Niamut

2015

Proceedings of the ACM International Conference on Interactive Experiences for TV and Online Video

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In conjunction with BBC R&D experiments and demonstrations at the 2014 Commonwealth Games, an explorative field trial was conducted with a live zoomable UHD video system. The unique field trial featured the world's first live tiled streaming of 4K UHD video to end users. During the trial, we studied and evaluated the attractiveness and novelty of an interactive UHD application, and investigated system design aspects of a live UHD tiling system. In this paper, we evaluate the overall perceived quality of experience (QoE) of the application and to what extent the QoE depends on system factors and/or network conditions. We observe that interactive UHDTV is well received by users, but the delivered experience may decrease in presence of low bandwidth availability.

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Temporal Development of Quality of Experience

Cited by 24 publications

References 23 publications

Modelling multi-episodic quality perception for different telecommunication services: First insights

Modelling multi-episodic quality perception for different telecommunication services: First insights

Definition of QoE Fairness in Shared Systems

Interactive UHDTV at the Commonwealth Games

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