  This work focuses on studying players behaviour in interactive narratives
with the aim to simulate their choices. Besides sub-optimal player behaviour
due to limited knowledge about the environment, the difference in each player's
style and preferences represents a challenge when trying to make an intelligent
system mimic their actions. Based on observations from players interactions
with an extract from the interactive fiction Anchorhead, we created a player
profile to guide the behaviour of a generic player model based on the BDI
(Belief-Desire-Intention) model of agency. We evaluated our approach using
qualitative and quantitative methods and found that the player profile can
improve the performance of the BDI player model. However, we found that players
self-assessment did not yield accurate data to populate their player profile
under our current approach.
