TY - GEN
T1 - Exploring diverse measures for evaluating QoE in the context of WebRTC
AU - De Moor, Katrien
AU - Arndt, Sebastian
AU - Ammar, Doreid
AU - Voigt-Antons, Jan Niklas
AU - Perkis, Andrew
AU - Heegaard, Poul E.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/30
Y1 - 2017/6/30
N2 - Enabling high Quality of Experience (QoE) with video-conferencing solutions based on Web Real-Time Communication (WebRTC) protocols anywhere, anytime, is challenging and triggers the exploration of new ways to gain QoE insights. In this paper, we share initial observations from a within-subjects experiment (N = 22) in which 2-party WebRTC-based audiovisual conversations took place under varying technical conditions. We collected self-report data, peripheral physiological data and application-level performance statistics with the overall aim of exploring their usefulness and compatibility for assessing QoE in the context of WebRTC. Our preliminary findings indicate that the varying quality is well-reflected in the self-reported overall quality and annoyance. However, this might not apply when considering the emotional valence ratings and ECG data, implying that other factors may play a role here.
AB - Enabling high Quality of Experience (QoE) with video-conferencing solutions based on Web Real-Time Communication (WebRTC) protocols anywhere, anytime, is challenging and triggers the exploration of new ways to gain QoE insights. In this paper, we share initial observations from a within-subjects experiment (N = 22) in which 2-party WebRTC-based audiovisual conversations took place under varying technical conditions. We collected self-report data, peripheral physiological data and application-level performance statistics with the overall aim of exploring their usefulness and compatibility for assessing QoE in the context of WebRTC. Our preliminary findings indicate that the varying quality is well-reflected in the self-reported overall quality and annoyance. However, this might not apply when considering the emotional valence ratings and ECG data, implying that other factors may play a role here.
KW - Quality of Experience
KW - WebRTC
KW - electrocardiogram (ECG)
KW - self-reports
UR - http://www.scopus.com/inward/record.url?scp=85026750791&partnerID=8YFLogxK
U2 - 10.1109/QoMEX.2017.7965665
DO - 10.1109/QoMEX.2017.7965665
M3 - Conference contribution
AN - SCOPUS:85026750791
T3 - 2017 9th International Conference on Quality of Multimedia Experience, QoMEX 2017
BT - 2017 9th International Conference on Quality of Multimedia Experience, QoMEX 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Quality of Multimedia Experience, QoMEX 2017
Y2 - 29 May 2017 through 2 June 2017
ER -