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Detail publikačního výsledku
SEUFERT, M.; ZACH, O.; HOSSFELD, T.; SLANINA, M.; TRAN-GIA, P.
Originální název
Impact of Test Condition Selection in Adaptive Crowdsourcing Studies on Subjective Quality
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
Adaptive crowdsourcing is a new approach to crowdsourced Quality of Experience (QoE) studies, which aims to improve the certainty of resulting QoE models by adaptively distributing a fixed budget of user ratings to the test conditions. The main idea of the adaptation is to dynamically allocate the next rating to a condition, for which the submitted ratings so far show a low certainty. This paper investigates the effects of statistical adaptation on the distribution of ratings and the goodness of the resulting QoE models. Thereby, it gives methodological advice how to select test conditions for future crowdsourced QoE studies.
Anglický abstrakt
Klíčová slova
QoE, test condiition, crowdsourcing, adaptive test design
Klíčová slova v angličtině
Autoři
Rok RIV
2017
Vydáno
06.06.2016
ISBN
978-1-5090-0354-9
Kniha
Proceedings of 2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX)
Strany od
1
Strany do
6
Strany počet
BibTex
@inproceedings{BUT126583, author="Michael {Seufert} and Ondřej {Zach} and Tobias {Hossfeld} and Martin {Slanina} and Phuoc {Tran-Gia}", title="Impact of Test Condition Selection in Adaptive Crowdsourcing Studies on Subjective Quality", booktitle="Proceedings of 2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX)", year="2016", pages="1--6", doi="10.1109/QoMEX.2016.7498939", isbn="978-1-5090-0354-9" }