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.@en

Nowadays various digital television services are available. However, the user of these services experiences longer delays than the traditional analog TV while switching from channel to channel. The digital TV operator usually displays a black screen with the channel number during zapping. However, it could be interesting for the TV viewer, if the operator displays a screen with information instead of just a black screen. This information may be an advertisement, information about the target channel, personalized content of the user etc. In this paper, we describe a subjective experiment where the quality of experience (QoE) of channel zapping was quantified, while displaying a random set of advertisement pictures during zapping. It is found that, for longer zapping times, advertisements give better QoE than the black screen. However, when zapping times are small,users prefer a black screen over a glance of an advertisement picture.@en