Publikation: Crowdsourcing Quality of Experience Experiments
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2017
Autor:innen
Egger-Lampl, Sebastian
Redi, Judith
Hoßfeld, Tobias
Hirth, Matthias
Möller, Sebastian
Naderi, Babak
Keimel, Christian
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ARCHAMBAULT, Daniel, ed., Helen PURCHASE, ed., Tobias HOSSFELD, ed.. Evaluation in the Crowd : Crowdsourcing and Human-Centered Experiments : Revised Contributions. Cham: Springer, 2017, pp. 154-190. Lecture Notes in Computer Science. 10264. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-319-66434-7. Available under: doi: 10.1007/978-3-319-66435-4_7
Zusammenfassung
Crowdsourcing enables new possibilities for QoE evaluation by moving the evaluation task from the traditional laboratory environment into the Internet, allowing researchers to easily access a global pool of workers for the evaluation task. This makes it not only possible to include a more diverse population and real-life environments into the evaluation, but also reduces the turn-around time and increases the number of subjects participating in an evaluation campaign significantly, thereby circumventing bottle-necks in traditional laboratory setups. In order to utilise these advantages, the differences between laboratory-based and crowd-based QoE evaluation are discussed in this chapter.
Zusammenfassung in einer weiteren Sprache
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004 Informatik
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Dagstuhl Seminar 15481, 22. Nov. 2015 - 27. Nov. 2015, Dagstuhl, Wadern
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EGGER-LAMPL, Sebastian, Judith REDI, Tobias HOSSFELD, Matthias HIRTH, Sebastian MÖLLER, Babak NADERI, Christian KEIMEL, Dietmar SAUPE, 2017. Crowdsourcing Quality of Experience Experiments. Dagstuhl Seminar 15481. Dagstuhl, Wadern, 22. Nov. 2015 - 27. Nov. 2015. In: ARCHAMBAULT, Daniel, ed., Helen PURCHASE, ed., Tobias HOSSFELD, ed.. Evaluation in the Crowd : Crowdsourcing and Human-Centered Experiments : Revised Contributions. Cham: Springer, 2017, pp. 154-190. Lecture Notes in Computer Science. 10264. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-319-66434-7. Available under: doi: 10.1007/978-3-319-66435-4_7BibTex
@inproceedings{EggerLampl2017-09-28Crowd-41214,
year={2017},
doi={10.1007/978-3-319-66435-4_7},
title={Crowdsourcing Quality of Experience Experiments},
number={10264},
isbn={978-3-319-66434-7},
issn={0302-9743},
publisher={Springer},
address={Cham},
series={Lecture Notes in Computer Science},
booktitle={Evaluation in the Crowd : Crowdsourcing and Human-Centered Experiments : Revised Contributions},
pages={154--190},
editor={Archambault, Daniel and Purchase, Helen and Hoßfeld, Tobias},
author={Egger-Lampl, Sebastian and Redi, Judith and Hoßfeld, Tobias and Hirth, Matthias and Möller, Sebastian and Naderi, Babak and Keimel, Christian and Saupe, Dietmar}
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