Player-Centered AI for Automatic Game Personalization: Open Problems
It addresses the problem of personalizing games for players, but it is incremental as it builds on existing theories and identifies open issues rather than presenting new solutions.
The paper introduces a player-centered AI framework for game personalization, based on the Structure of Actions theory, and identifies eight open problems that require collaboration between technology and player experience design.
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.