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TU Berlin

Inhalt des Dokuments

Steven Schmidt


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


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. 


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)


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

Tel:  +49 151 12044969


Requirement Specification and Possible Structure for an Opinion Model Predicting Gaming QoE (G.OMG)
Zitatschlüssel schmidt2018d
Autor Schmidt, Steven and Zadtootaghaj, Saman and Möller, Sebastian and Metzger, Florian and Hirth, Matthias and Suznjevic, Mirko and Barman, Nabajeet and Martini, Maria G.
Seiten 1–20
Jahr 2018
Adresse CH-Geneva
Monat may
Wie herausgegeben full
Institution ITU
Zusammenfassung This document describes the requirement specification and a possible model structure for the development of a gaming QoE opinion model by ITU-T Study Group 12, Question 13, for the work item G.OMG. The main intention of this document is to define the scope of the model, i.e. the concrete use case and input information (influencing factors, system and network parameter, etc.) considered to develop the model, and to provide concrete requirements to conduct subjective tests to build a rating data set for a proposed model structure. The decisions made are based on ITU-T Recommendation G.1032 and the current work item ITU-T P.GAME, and on previous research in the domain of gaming QoE. G.OMG primarily will aim at predicting the gaming QoE based on a variety of network and encoding parameters in a cloud gaming scenario.
Typ der Publikation ITU-T Recommendation
Link zur Publikation Download Bibtex Eintrag

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