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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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qoe_gaming_manuscript.pdf

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Postprint

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Accepted version

Access type

openaccess

License Condition

CC BY

Size

289.17 KB

Format

Adobe PDF

Checksum (MD5)

4ca25e039a4d83a4d6142fc53f72945f

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