Measuring Navigation Performance in Serious Games

Abstract

In serious games, in-game analytics is a major focus, as it is beneficial to see how a player is learning throughout the game. Different control schemes, such as ones often used in Virtual Reality (VR) games, open the door to a variety of existing analytical techniques. This article compares three measures adopted from two distinct areas to determine player’s navigation behaviour, namely: task-finding lostness, gathering lostness and sequence similarity. Results on 13 children playing a serious Virtual Reality (VR) game, show both resemblances and differences among the three measures. Moreover, each of the measures show their constraints when applied in a serious VR game context. If anything, the current article illustrates, once more, how complex the analysis of player behaviour is and the need for the absent ground truth measure.