Intentionality Analysis In 3d Games

This paper introduces an interface and architecture of a method for personality typing through analyzing intentions. The game records some features during the interaction with players in order to correlate their choices with their gestures, such as mouse tracking, and eye movement etc. Through a 3D interactive video game interface, we are combining an approach using neural networks systems and the Enneagram theory of personality to produce a machine learning engine that is capable of extracting some specific traits of intentionality of the user after one session of playing the game. We conclude by reporting the results of this engine and its internal structure and discuss some theoretical and practical challenges.