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arXiv · 2102.07548

Player-Centered AI for Automatic Game Personalization: Open Problems

Jichen Zhu·Santiago Ontañón
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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.

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Jichen Zhu, Santiago Ontañón. 2021-02-15. Player-Centered AI for Automatic Game Personalization: Open Problems. https://arxiv.org/abs/2102.07548

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