Multimedia service providers and operators need tools that can estimate the quality of the services delivered to their end-customers. While laboratory-originated data is accurate and reliable, the performance of Quality of Experience (QoE) models could be improved by taking into account the real context of use. This chapter compares results of a laboratory audiovisual quality subjective study and two smaller scale user studies conducted in a public place. It discusses the author's approach used for enhancing the prediction accuracy with context-specific bias functions. The chapter describes the test content, how it was generated, and summarizes the laboratory-based assessment campaign. It also describes the subjective tests performed at two exhibition halls, presents the results of the public place tests and compares them to the laboratory tests. The chapter analyses the performance of laboratory trained model in the public contexts, and that of the potential bias functions based on the field tests.
|Title of host publication||Quality of Experience Engineering for Customer Added Value Services|
|Subtitle of host publication||From Evaluation to Monitoring|
|Publication status||Published - 2014|
|MoE publication type||D2 Article in professional manuals or guides or professional information systems or text book material|
- audiovisual services
- laboratory-based assessment campaign
- Quality of Experience (QoE)