  Computer games represent an ideal research domain for the next generation of
personalized digital applications. This paper presents a player-centered
framework of AI for game personalization, complementary to the commonly used
system-centered approaches. Built on the Structure of Actions theory, the paper
maps out the current landscape of game personalization research and identifies
eight open problems that need further investigation. These problems require
deep collaboration between technological advancement and player experience
design.
