The Gameplay Visualization Manifesto: A Framework for Logging and Visualization of Online Gameplay Data

As massively multiplayer online games gain popularity, there has been a concomitant increase in their size and complexity, both technically and in terms of player usage. Quality assurance for such games takes up a major component of the development budget due to the painstaking work required to ensure the best possible gameplay. This article presents a new framework for the process of visualizing online game-play data. Major components such as an event model and data acquisition infrastructure are derived. Interface and implementation factors are also explored, including in-situ game interface approaches. We also expect that this framework can be modified for all genres of gaming that require an understanding of complex game-play

Crossover of Affective Artificial Intelligence Between Robotics Simulator and Games

The aim of this paper is to share state of the art in the field of robotics and artificial intelligence from one side and gaming from other side. Inspired from affective computing in social robotics and in order to improve the learning factor of serious games, we introduce an affection layer which improves the emotional intelligence of a game character. As the components of that layer we propose modules which can be integrated in a game engine in order to enhance the verisimilitude of the virtual world. The proposed architecture can be integrated in several games to improve their emotional abilities which can lead to developing believable characters in the game environment. We believe that such ability increase the motivation for the user to learn since possibilities and situations would be much pragmatic