• Exploring the Usefulness of Machine Learning in the Context of WebRTC Performance Estimation 

      Ammar, Doreid; De Moor, Katrien; Skorin-Kapov, Lea; Fiedler, Markus; Heegaard, Poul Einar (Chapter, 2019)
      We address the challenge faced by service providers in monitoring Quality of Experience (QoE) related metrics for WebRTC-based audiovisual communication services. By extracting features from various application-layer ...
    • From QoS Distributions to QoE Distributions: a System's Perspective 

      Hossfeld, Tobias; Heegaard, Poul Einar; Skorin-Kapov, Lea; Varela, Martin; Fiedler, Markus (Chapter, 2020)
      In the context of QoE management, network and service providers commonly rely on models that map system QoS conditions (e.g., system response time, paket loss, etc.) to estimated end user QoE values. Observable QoS conditions ...
    • Influence of Gender and Viewing Frequency on Quality of Experience 

      Nawaz, Omer; Fiedler, Markus; De Moor, Katrien; Khatibi, Siamak (Peer reviewed; Journal article, 2020)
      Some of the most important aspects for content creators and service providers are the content appeal and the time consumed by the end users on a particular application or service. Gender and age can influence the Quality ...
    • Revealing the Dark Side of WebRTC Statistics Collected by Google Chrome 

      Ammar, Doreid; De Moor, Katrien; Heegaard, Poul Einar; Fiedler, Markus; Xie, Min (Chapter, 2016)
      Google Chrome provides a built-in tool to collectreal-time session-related performance statistics of Web-basedReal-Time Communication (WebRTC). Although the Chromestatistics have a number of ...
    • Towards enhancing ecological validity in user studies: a systematic review of guidelines and implications for QoE research 

      Subramanian, Sruti; de Moor, Katrien Rachel W; Fiedler, Markus; Koniuch, Kamil; Janowski, Lucjan (Peer reviewed; Journal article, 2023)
      The concept of conducting ecologically valid user studies is gaining traction in the field of Quality of Experience (QoE). However, despite previous research exploring this concept, the increasing volume of studies has ...
    • Users on the Move: On Relationships Between QoE Ratings, Data Volumes and Intentions to Churn 

      Fiedler, Markus; De Moor, Katrien; Ravuri, Hemanth; Tanneedi, Prithvi; Chandiri, Mounika (Chapter, 2017)
      For a long time, the risk of customer churn, i.e. to leave an operator, has been used as argument in favor of Quality or Experience (QoE) research. However, the understanding of how churn behavior and QoE are related is ...
    • Video QoE Killer and Performance Statistics in WebRTC-based Video Communication 

      Ammar, Doreid; De Moor, Katrien; Hossfelt, Tobias; Fiedler, Markus; Heegaard, Poul Einar; Xie, Min (Chapter, 2016)
      Abstract: In this paper, we investigate session-related performance statistics of a Web-based Real-Time Communication (WebRTC) application called appear.in. We explore the characteristics of these statistics and explore ...
    • Videoconference Fatigue: A Conceptual Analysis 

      Nicola, Döring; De Moor, Katrien; Fiedler, Markus; Schoenenberg, Katrin; Raake, Alexander (Peer reviewed; Journal article, 2022)
      Videoconferencing (VC) is a type of online meeting that allows two or more participants from different locations to engage in live multi-directional audio-visual communication and collaboration (e.g., via screen sharing). ...