"Hello everyone": realistic crowdsourcing-based QoE assessment of multi-party video conferencing

  • Video conferencing has become indispensable in both professional and social contexts. From a networking point of view, timely distribution of media to all clients participating in a video conference is required. However, fluctuating network conditions pose a challenge, so that a high Quality of Experience (QoE) might not always be achieved. When assessing how network conditions impact the QoE of video conferencing, previous QoE studies focused on one-to-one settings and suffered from small numbers of participants due to their costly laboratory setups. In this work, we investigate crowdsourcing-based QoE studies for video conferencing in order to obtain a higher number and more globally distributed and diverse participants. For this, we consider multi-party video conferencing and design a web-based study framework which provides a high realism to online study participants by involving themselves in the presented video call. Finally, we conduct a QoE study with our framework toVideo conferencing has become indispensable in both professional and social contexts. From a networking point of view, timely distribution of media to all clients participating in a video conference is required. However, fluctuating network conditions pose a challenge, so that a high Quality of Experience (QoE) might not always be achieved. When assessing how network conditions impact the QoE of video conferencing, previous QoE studies focused on one-to-one settings and suffered from small numbers of participants due to their costly laboratory setups. In this work, we investigate crowdsourcing-based QoE studies for video conferencing in order to obtain a higher number and more globally distributed and diverse participants. For this, we consider multi-party video conferencing and design a web-based study framework which provides a high realism to online study participants by involving themselves in the presented video call. Finally, we conduct a QoE study with our framework to demonstrate the suitability of crowdsourcing for assessing the QoE impact of network-level and application-level degradations of video conferencing applications.show moreshow less

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Metadaten
Author:Fabian Poignée, Frank Loh, Michael SeufertORCiDGND, Tobias Hoßfeld
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/125901
Parent Title (English):17th International Conference on Quality of Multimedia Experience (QoMEX), 30 September - 2 October 2025, Madrid, Spain
Type:Conference Proceeding
Language:English
Date of Publication (online):2025/10/17
Year of first Publication:2025
Publishing Institution:Universität Augsburg
Release Date:2025/10/17
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Vernetzte Systeme und Kommunikationsnetze
Latest Publications (not yet published in print):Aktuelle Publikationen (noch nicht gedruckt erschienen)