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Player-Centered AI for Automatic Game Personalization: Open Problems

2021-02-15 13:34:38
Jichen Zhu, Santiago Ontañón
arXiv_AI
   
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.

Abstract (translated)

URL

https://arxiv.org/abs/2102.07548

PDF

https://arxiv.org/pdf/2102.07548.pdf

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