Crowdsourcing Quality of Experience Experiments
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 po...
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Published in | Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments Vol. 10264; pp. 154 - 190 |
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Main Authors | , , , , , , , |
Format | Book Chapter |
Language | English |
Published |
Switzerland
Springer International Publishing AG
2017
Springer International Publishing |
Series | Lecture Notes in Computer Science |
Online Access | Get full text |
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Abstract | 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. |
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AbstractList | 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. |
Author | Naderi, Babak Möller, Sebastian Saupe, Dietmar Redi, Judith Hirth, Matthias Egger-Lampl, Sebastian Hoßfeld, Tobias Keimel, Christian |
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