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TU Berlin

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

Motivation

The assessment of the perceived quality of the user (Quality of Experience) of pure audio and video material differs in many ways from the quality of computer games. The later possess a variety of factors due to their interactive nature. Not only factors of complex and innovative game systems have an impact on the QoE, but also the players themselves. A quality judgment, that results by comparing the expected and perceived composition of an entity, depends highly on the preferences, expectations and abilities of the player.

In this still young area of research standard methods for determining the QoE are not directly applicable. This is apparent since in a task oriented human-computer interaction the goal should be achieved with minimal effort. However in a game  the player exerts an effort in order to influence the outcome and thereby feels emotionally attached. Thus new concepts such as immersion and flow, a state of happiness while being in an equilibrium between competence and challenge, appear.

An analysis of the gaming market shows, that the proportion of mobile games has risen sharply in recent years. Mobile games are special in a sense that mobile devices such as smartphones or tablets were originally not designed for games and are therefore not optimally adapted to them. This also applies to the new concept of cloud gaming, where the entire game is executed on a server and only the video and audio material is transferred to the end user.

 

Aim of the project

The aim of this research project is to develop methods to assess the QoE of mobile games. In addition, based on a database containing subjective quality judgments, a model similar to the well known E-model should be constructed to predict the QoE. The following concrete steps are planned for this purpose:

  • Set up and modification of a testbed for conducting experiments including a cloud gaming system for mobile games
  • Development of a classification of games to choose representative games and identify system and user factors
  • Building a questionnaire covering a large space of relevant quality dimensions
  • Identification of quality-relevant perceptual dimensions and analysis of their impact on the overall quality
  • Analyzing the performance of current objective metrics which were proposed for different contents and services in mobile gaming
  • Building a QoE model based on game, system and network characteristics as well as user and context factors
Time Frame: 
01/2016 - 06/2019
T-labs Team Members:
Steven Schmidt
Funding by:
Deutsche Forschungsgemeinschaft (DFG)
Project Number:
MO 1038/21-1

List of Publications

Schmidt, Steven and Shafiee Sabet, Saeed and Zadtootaghaj, Saman and Möller, Sebastian and Griwodz, Carsten and Barman, Nabajeet and Martini, Maria G. (2019). Proposal of a Content Classification for Cloud Gaming Services. , 1–10.


Schmidt, Steven and Zadtootaghaj, Saman and Möller, Sebastian and Barman, Nabajeet and Martini, Maria G.and Shafiee Sabet, Saeed and Griwodz, Carsten (2019). Performance Evaluation of the Opinion Model Predicting Gaming QoE (G.OMG). , 1–9.


Schmidt, Steven and Zadtootaghaj, Saman and Möller, Sebastian and Barman, Nabajeet and Martini, Maria G.and Shafiee Sabet, Saeed and Griwodz, Carsten (2019). Opinion Model Predicting Gaming QoE (G.OMG). , 1–13.


Schmidt, Steven and Zadtootaghaj, Saman and Möller, Sebastian and Shafiee Sabet, Saeed (2019). Proposal for an Opinion Model Predicting Gaming QoE for Mobile Online Gaming. , 1–5.


Schmidt, Steven and Shafiee Sabet, Saeed and Naderi, Babak and Zadtootaghaj, Saman and Griwodz, Carsten and Möller, Sebastian (2020). Evaluation of Interactive Test Paradigm for P.CROWDG Recommendation. , 1–7.


Schmidt, Steven and Zadtootaghaj, Saman and Shafiee Sabet, Saeed and Möller, Sebastian (2020). Report about Opinion Model for Mobile Online Gaming Applications (G.OMMOG). , 1–9.


Zadtootaghaj, Saman and Schmidt, Steven and Möller, Sebastian and Shafiee Sabet, Saeed and Griwodz, Carsten and Barman, Nabajeet and Martini, Maria G. and Ramachandra Rao, Rakesh Rao and Göring, Steven and Raake, Alexander (2020). Proposal for new Work Item P.BBQCG: Parametric bitstream-based Quality Assessment of Cloud Gaming Services. , 1–7.


Avanaki, Nasim Jamshidi and Zadtootaghaj, Saman and Barman, Nabajeet and Schmidt, Steven and Martini, Maria G. and Möller, Sebastian (2020). Quality Enhancement of Gaming Content using Generative Adversarial Networks. 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX). IEEE, 1–6.


Perkis, Andrew and Timmerer, Christian and Baraković, Sabina and Husić, Jasmina Baraković and Bech, Søren and Bosse, Sebastian and Botev, Jean and Brunnström, Kjell and Cruz, Luis and De Moor, Katrien and Saibanti, Andrea de Polo and Durnez, Wouter and Egger-Lampl, Sebastian and Engelke, Ulrich and Falk, Tiago H. and Hameed, Asim and Hines, Andrew and Kojic, Tanja and Kukolj, Dragan and Liotou, Eirini and Milovanovic, Dragorad and Möller, Sebastian and Murray, Niall and Naderi, Babak and Pereira, Manuela and Perry, Stuart and Pinheiro, Antonio and Pinilla, Andres and Raake, Alexander and Agrawal, Sarvesh Rajesh and Reiter, Ulrich and Rodrigues, Rafael and Schatz, Raimund and Schelkens, Peter and Schmidt, Steven and Sabet, Saeed Shafiee and Singla, Ashutosh and Skorin-Kapov, Lea and Suznjevic, Mirko and Uhrig, Stefan and Vlahović, Sara and Voigt-Antons, Jan-Niklas and Zadtootaghaj, Saman (2020). QUALINET White Paper on Definitions of Immersive Media Experience (IMEx). arXiv preprint arXiv:2007.07032. European Network on Quality of Experience in Multimedia Systems and Services, 14th QUALINET meeting, 1–15.


Sabet, Saeed Shafiee and Schmidt, Steven and Zadtootaghaj, Saman and Griwodz, Carsten and Möller, Sebastian (2020). Towards the Impact of Gamers Strategy and User Inputs on the Delay Sensitivity of Cloud Games. 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX). IEEE, 1–3.


Schmidt, Steven and Naderi, Babak and Sabet, Saeed Shafiee and Zadtootaghaj, Saman and Carsten and Möller, Sebastian (2020). Assessing Interactive Gaming Quality of Experience using a Crowdsourcing Approach. 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX). IEEE, 1–6.


Schmidt, Steven and Uhrig, Stefan and Reuschel, Domenic (2020). Investigating the Relationship of Mental Immersion and Physiological Measures during Cloud Gaming. 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX). IEEE, 1–6.


Sabet, Saeed Shafiee and Schmidt, Steven and Zadtootaghaj, Saman and Griwodz, Carsten and Möller, Sebastian (2020). Delay Sensitivity Classification of Cloud Gaming Content. Proceedings of the 12th ACM International Workshop on Immersive Mixed and Virtual Environment Systems. Association for Computing Machinery, 25–30.


Sabet, Saeed Shafiee and Schmidt, Steven and Zadtootaghaj, Saman and Naderi, Babak and Griwodz, Carsten and Möller, Sebastian (2020). A Latency Compensation Technique Based on Game Characteristics to Mitigate the Influence of Delay on Cloud Gaming Quality of Experience. Proceedings of the 11th ACM Multimedia Systems Conference. Association for Computing Machinery, 15–25.


Zadtootaghaj, Saman and Schmidt, Steven and Sabet, Saeed Shafiee and Möller, Sebastian and Griwodz, Carsten (2020). Quality Estimation Models for Gaming Video Streaming Services Using Perceptual Video Quality Dimensions. Proceedings of the 11th ACM Multimedia Systems Conference. Association for Computing Machinery, 213–224.


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