My research involves creating and evaluating adaptive game environments using player models created using data-driven techniques and algorithms. I hypothesize that I will be able to change parts of a game to elicit certain behaviors from players, and that these changes will also result in an increase of engagement and/or intrinsic motivation.

User satisfaction in computer games seems to be influenced by game balance, the level of challenge faced by the user. This work presents an evaluation, performed by human players, of dynamic game balancing approaches. The results indicate that adaptive approaches are more effective. This paper also enumerates some issues encountered in evaluating users’ satisfaction, in the context of games, an...

The nature of most modern mobile games is different from that of most computer/console games, which are typically targeted at casual gamers and are played in a wide variety of space, time and device contexts. We argue that this feature of mobile games naturally fits with adaptive procedural content generation (PCG). In this paper, we propose the integration of two PCG-based approaches (experien...

We investigate different versions of the minority game, a toy model for agents buying and selling a commodity. The Hamming distance between the strategies used by agents to take decisions is introduced as an analytical tool to determine several properties of these models. The success rate of the agents in an adaptive version of the game is compared with the rate from a stochastic version. It is...