Publication detail

On Measuring User Experience with Mobile Data Services

ČERVENÁK, R. HOŠEK, J.

Original Title

On Measuring User Experience with Mobile Data Services

Czech Title

On Measuring User Experience with Mobile Data Services

English Title

On Measuring User Experience with Mobile Data Services

Type

journal article

Language

en

Original Abstract

The constantly increasing demand for the evaluation of network services not only from the objective point of view (so called Quality of Service approach), but also from the end user experience (Quality of Experience / QoE) perspective opens several new challenges for service providers and application designers as well. Inspired by that and putting together our experience and knowledge in QoE assessment research for mobile networks, we present in this paper our own methodology and developed mobile application that is capable to measure the actual network conditions and give online feedback on expected user sat- isfaction level by implementation our own QoE analytical model. All the measurements are stored in the cloud-based database which is publicly accessible as a reference to other users. The developed application is available on iTunes App Store and has been already downloaded and installed by 12240 users. The key measurements and findings which have been gathered so far are summarized in this paper.

Czech abstract

The constantly increasing demand for the evaluation of network services not only from the objective point of view (so called Quality of Service approach), but also from the end user experience (Quality of Experience / QoE) perspective opens several new challenges for service providers and application designers as well. Inspired by that and putting together our experience and knowledge in QoE assessment research for mobile networks, we present in this paper our own methodology and developed mobile application that is capable to measure the actual network conditions and give online feedback on expected user sat- isfaction level by implementation our own QoE analytical model. All the measurements are stored in the cloud-based database which is publicly accessible as a reference to other users. The developed application is available on iTunes App Store and has been already downloaded and installed by 12240 users. The key measurements and findings which have been gathered so far are summarized in this paper.

English abstract

The constantly increasing demand for the evaluation of network services not only from the objective point of view (so called Quality of Service approach), but also from the end user experience (Quality of Experience / QoE) perspective opens several new challenges for service providers and application designers as well. Inspired by that and putting together our experience and knowledge in QoE assessment research for mobile networks, we present in this paper our own methodology and developed mobile application that is capable to measure the actual network conditions and give online feedback on expected user sat- isfaction level by implementation our own QoE analytical model. All the measurements are stored in the cloud-based database which is publicly accessible as a reference to other users. The developed application is available on iTunes App Store and has been already downloaded and installed by 12240 users. The key measurements and findings which have been gathered so far are summarized in this paper.

Keywords

QoE, iOS, mobile application

RIV year

2015

Released

20.12.2015

Pages from

49

Pages to

54

Pages count

6

BibTex


@article{BUT120703,
  author="Rastislav {Červenák} and Jiří {Hošek}",
  title="On Measuring User Experience with Mobile Data Services",
  annote="The constantly increasing demand for the evaluation of network services not only from the objective point of view (so called Quality of Service approach), but also from the end user experience (Quality of Experience / QoE) perspective opens several new challenges for service providers and application designers as well. Inspired by that and putting together our experience and knowledge in QoE assessment research for mobile networks, we present in this paper our own methodology and developed mobile application that is capable to measure the actual network conditions and give online feedback on expected user sat- isfaction level by implementation our own QoE analytical model. All the measurements are stored in the cloud-based database which is publicly accessible as a reference to other users. The developed application is available on iTunes App Store and has been already downloaded and installed by 12240 users. The key measurements and findings which have been gathered so far are summarized in this paper.",
  chapter="120703",
  number="4",
  volume="6",
  year="2015",
  month="december",
  pages="49--54",
  type="journal article"
}