DIstributed SImulation & Online gaming Workshop

Research Article

Subjective-based quality assessment for online games

  • @INPROCEEDINGS{10.4108/ICST.SIMUTOOLS2010.8721,
        author={Dorel  Picovici and David  Denieffe and Zenun  Kastrati},
        title={Subjective-based quality assessment for online games},
        proceedings={DIstributed SImulation \& Online gaming Workshop},
        publisher={ACM},
        proceedings_a={DISIO},
        year={2010},
        month={5},
        keywords={Online game quality assessment objective/subjective game quality assessment end-user opinion estimation.},
        doi={10.4108/ICST.SIMUTOOLS2010.8721}
    }
    
  • Dorel Picovici
    David Denieffe
    Zenun Kastrati
    Year: 2010
    Subjective-based quality assessment for online games
    DISIO
    ICST
    DOI: 10.4108/ICST.SIMUTOOLS2010.8721
Dorel Picovici1,*, David Denieffe2,*, Zenun Kastrati3,*
  • 1: Institute of Technology Carlow, Kilkenny Road, Ireland. + 353 59 9175438
  • 2: Institute of Technology Carlow, Kilkenny Road, Ireland. + 353 59 9175410
  • 3: University of Prishtina, Mother Teresa Avenue 9, Kosovo. +381-38-244 183
*Contact email: Dorel.Picovici@itcarlow.ie, David.Denieffe@itcarlow.ie, Zenun.Kastrati@fiek.uni-pr.edu

Abstract

This paper describes a new game assessment metric for the online gamer. The metric is in line with a mathematical model currently used for network planning assessment. In addition to the traditional network-based parameters such as delay, jitter and packet loss, new parameters based on subjective assessment are introduced. The metric aims to estimate game quality as perceived by an online game player. In order to validate and calibrate the proposed metric a subjective game quality assessment is also proposed. Two 5-point scales are introduced: a game-quality scale and a game playing-effort scale. The mean average of each scales termed, as Mean Opinion Score (MOS), will indicate the game quality (MOSGQE) and the playing-effort required (MOSGPE). Reported evaluation results indicate a high level of correlation when compared with other algorithms. Comparative results have been carried out for three online games.