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Steven Schmidt

: © Q&U

Research Field

Quality of Experience (QoE) for Cloud Gaming Services
Engagement in Virtual Reality

Research Topics

Identification and quantification of perceptual quality dimensions for gaming QoE
Prediction of gaming QoE based on encoding and network parameters
Classification of game content
Crowdsourcing for gaming evaluation

Biography

Steven Schmidt received his M.Sc. degree in Electrical Engineering at the TU Berlin with a major in Communication Systems. Since 2016 he is employed as a research assistant at the Quality and Usability Lab where he is working towards a PhD in the field of Quality of Experience in Mobile Gaming.

Projects

Subjective assessment and instrumental prediction of mobile online gaming on the basis of perceptual dimensions (DFG)

ITU-T SG12 Activities:

ITU-T Rec. G.1032 - Influence Factors on Gaming Quality of Experience (2017)
ITU-T Rec. P.809 - Subjective Evaluation Methods for Gaming Quality (2018)
ITU-T Rec. G.1072 - Opinion Model Predicting Gaming QoE for Cloud Gaming Services (2020)

Address

Quality and Usability Lab
Technische Universität Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany

Tel: +49 151 12044969

Publications

An Overview of Concepts and Evaluation Methods for Computer Gaming QoE
Zitatschlüssel	moeller2013i
Autor	Möller, Sebastian and Schmidt, Steven and Beyer, Justus
Buchtitel	Fifth Int. Workshop on Quality of Multimedia Experience 2013 (QoMEX 2013)
Seiten	236–241
Jahr	2013
DOI	10.1109/QoMEX.2013.6603243
Ort	Klagenfurt am Wörthersee, Austria
Monat	3-5 July
Verlag	IEEE
Wie herausgegeben	full
Zusammenfassung	With the advent of computer games, game providers try to improve their users' experience by ensuring high platform and transmission performance, by developing new interaction techniques and more interesting interfaces, or by launching new game ideas. However, it is still unclear how this affects user-perceived Quality of Experience (QoE). In this paper, we provide an overview of the most-discussed concepts in computer gaming evaluation, taking the perspective of a quality engineer who identifies influence factors, quantifies them in terms of performance metrics, and analyzes their impact on perceived quality features. The concepts are grouped in terms of a taxonomy which can be used for developing empirical test methods as well as instrumental prediction models for computer gaming QoE.