Player-Centered AI for Automatic Game Personalization: Open Problems

TL;DR

This paper proposes a player-centered AI framework for game personalization, highlighting open research problems and emphasizing the need for collaboration between technology and player experience design.

Contribution

It introduces a novel player-centered approach based on the Structure of Actions theory and identifies key open problems in game personalization research.

Findings

Mapped current landscape of game personalization research

Identified eight open problems in the field

Highlighted importance of collaboration between technology and design

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.