Proposed Framework for Evaluating Quality of Experience in a Mobile, Testbed-oriented Living Lab Setting

Moor, Katrien De; Ketykó, István; Joseph, Wout; Deryckere, Tom; Marez, Lieven De; Martens, Luc; Verleye, Gino

doi:10.1007/s11036-010-0223-0

Cited by 110 publications

(79 citation statements)

References 46 publications

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“…Figure 3, shows the true and predicted estimates of the QoE values at each t (for six weeks). It shows that the QoE decreases with time from t 1 to t 4 and it then starts to increase from t 5 due to the codec changes made by the smart application. We show how our model is able to correctly match the true QoE estimates using leave-one-out cross-validation based on three QoE states (S t T A , S t U S and R t QoE ) and several context parameters a P L , a delay , a location and a codec , over time.…”

Section: Results Analysismentioning

confidence: 98%

“…The choice of the number of users' is selected due to fact that in the living-labs settings such as [4], it is very difficult and expensive to collect user data over a period of several days and usually studies are conducted with a limited number of test subjects. We would also like to determine whether a small data set can be used to obtain satisfactory results.…”

Section: Methodsmentioning

confidence: 99%

“…We note that the current state-of-the-art (see, [14,24,21,15,3,2,5,23,9,11,4,17,19,22,12,13]) does not address the problem of QoE measurement of multimedia applications over time. Mostly experiments are conducted in the lab settings or living lab settings [4] and then conclusions regarding QoE are drawn. This is particularly true for research done on voice and video quality assessment domain [16].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Dynamic Bayesian Networks for Sequential Quality of Experience Modelling and Measurement

Mitra

Zaslavsky

Åhlund

2011

Smart Spaces and Next Generation Wired/Wireless Networking

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Abstract. This paper presents a novel context-aware methodology for modelling and measuring user-perceived quality of experience (QoE) over time. In particular, we create a context-aware model for QoE modelling and measurement using dynamic Bayesian networks (DBN) and a context-aware state-space approach. The proposed model is then used to infer and determine users' QoE in a sequential manner. We performed experimentation to validate the proposed model. The results prove that it can efficiently model, reason and measure QoE of the users'.

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Section: Results Analysismentioning

confidence: 98%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic Bayesian Networks for Sequential Quality of Experience Modelling and Measurement

Mitra

Zaslavsky

Åhlund

2011

Smart Spaces and Next Generation Wired/Wireless Networking

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“…Firstly, in user-centered research, empirical and field studies are needed to collect natural and real user data, which can represent a more realistic UX. To reduce the study cost, a living lab testbed, like that proposed by De Moor et al (2010), may bring many benefits for future research. Secondly, to achieve a good prediction of the quality of UX, accurate QoE models need take more UX aspects into consideration.…”

Section: Resultsmentioning

confidence: 99%

Understanding User Experience of Mobile Video: Framework, Measurement, and Optimization

Song¹,

Tjondronegoro²,

Docherty³

2012

Mobile Multimedia - User and Technology Perspectives

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“…The Mixed Approach for Sustainability Labs [32] is used to investigate pragmatically, the technical and social aspects of practices in qualitative and quantitative manners [33][34][35][36]. The methods can be integrated at different stages in the research process including data collection, data analysis and data interpretation.…”

Section: Effect Of Socio-economical Characteristics On Heating Practicesmentioning

confidence: 99%

Designing for residents: Building monitoring and co-creation in social housing renovation in the Netherlands

Guerra-Santin

Boess

Konstantinou

et al. 2017

Energy Research & Social Science

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a b s t r a c tLarge differences between the expected and actual energy consumption have been found in energy efficient dwellings. Research has shown that these differences are partially caused by occupant behaviour. The financing and payback periods of low carbon technologies are often uncertain because of the impact of the occupants on building performance. This translates into a reluctance to invest in deep renovation projects. The goal of this design-inclusive research project is to develop a solution for zero energy renovation that reduces the uncertainty on building performance cause by occupants' behaviour by reducing the uncertainty in design decisions and energy calculations. This investigation focuses on the identification of building type specific occupants and their characteristics, requirements and living practices. This paper presents the user research approach developed for the renovation process. The approach consists of statistical analysis of Dutch households, a monitoring campaign in the area of study and co-creation research through mock-ups, enactments and interviews. Case studies results are presented to highlight the effect of different household types on energy consumption and occupants' requirements, and point at the importance of taking into account household typology and socio-economic characteristics in energy calculations or building simulations, as well as occupant requirements in the design process.

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Proposed Framework for Evaluating Quality of Experience in a Mobile, Testbed-oriented Living Lab Setting

Cited by 110 publications

References 46 publications

Dynamic Bayesian Networks for Sequential Quality of Experience Modelling and Measurement

Dynamic Bayesian Networks for Sequential Quality of Experience Modelling and Measurement

Understanding User Experience of Mobile Video: Framework, Measurement, and Optimization

Designing for residents: Building monitoring and co-creation in social housing renovation in the Netherlands

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