Predicting the perceived quality of a first person shooter: the Quake IV G-model

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Abstract

This paper describes the development of an end-to-end quality measurement method that allows us to quantify the perceived quality of interactive gaming. with an emphasis on the so-called first person shooter (FPS) game quake IV. We conducted a number of subjective experiments to quantify the impact of network parameters on the perceived quality of this recent FPS game. Making use of a multi-dimensional regression analysis we developed the Quake IV G-model which enables us to predict a gamer's Quake IV quality rating (expressed in a Mean Opinion Score) based on measured ping and jitter values. Our G-model shows a very high correlation (R-0.98) with the subjective data.