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  4. Learning a QoE Metric from Social Media and Gaming Footage
 
conference paper

Learning a QoE Metric from Social Media and Gaming Footage

Alvarez, Catalina  
•
Argyraki, Katerina  
2023
Proceedings of the 22nd ACM Workshop on Hot Topics in Networks
22nd ACM Workshop on Hot Topics in Networks

Defining a universal metric for Quality of Experience (QoE) is notoriously hard due to the complex relationship between low-level performance metrics and user satisfaction. The most common metric, the Mean Opinion Score (MOS), has well-known biases and inconsistency issues. We propose an alternative that leverages (a) social-media comments on network performance and (b) streaming footage that includes performance numbers. We argue that our proposal is feasible for online gaming, and it may apply to other applications in the near future. We discuss its potential to enable a direct mapping from low-level performance metrics to accurate QoE scores---the golden standard for assessing user satisfaction.

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Type
conference paper
DOI
10.1145/3626111.3628208
Author(s)
Alvarez, Catalina  
Argyraki, Katerina  
Date Issued

2023

Published in
Proceedings of the 22nd ACM Workshop on Hot Topics in Networks
Start page

117

End page

123

Subjects

Internet Measurement

•

Quality of Experience

•

Social Media

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
NAL  
Event nameEvent placeEvent date
22nd ACM Workshop on Hot Topics in Networks

Cambridge, Massachusetts, USA

November 28-29, 2023

Available on Infoscience
December 18, 2023
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/202683
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