Player-Centered AI for Automatic Game Personalization: Open Problems
Jichen Zhu, Santiago Ontañón
Abstract
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.
Topics & Concepts
PersonalizationComputer scienceHuman–computer interactionDomain (mathematical analysis)Ideal (ethics)Open researchGame theoryMultimediaData scienceWorld Wide WebMathematical analysisEconomicsMicroeconomicsEpistemologyPhilosophyMathematicsArtificial Intelligence in GamesEducational Games and GamificationDigital Games and Media