direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Page Content

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

Subjective Evaluation Methods for Gaming Quality (P.GAME)
Citation key schmidt2018c
Author Schmidt, Steven and Zadtootaghaj, Saman and Möller, Sebastian and Metzger, Florian and Hirth, Matthias and Suznjevic, Mirko
Pages 1–24
Year 2018
Address CH-Geneva
Month may
How Published full
Institution ITU
Abstract With the aim to develop an opinion model for gaming applications, Study Group 12 has decided during the last Study Period to start work on three work items about influencing factors on gaming QoE (G.QoE-gaming), subjective methods for assessing gaming QoE (P.GAME), and the actual opinion model (G.OMG). While G.QoE-gaming resulted already in the Recommendation G.1032, work on G.OMG is still in progress. It is the aim of the present contri-bution to provide a stable text for a Recommendation regarding subjective evaluation methods for gaming quality (P.GAME). It is based on the previous Contribution SG12-C.098 submitted for the September 2017 meeting, reflect-ing the discussion points during that meeting with respect to the length of the test stimuli in the passive test paradigm, and correcting minor inconsistencies.
Bibtex Type of Publication ITU-T Recommendation
Link to publication Download Bibtex entry

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe