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Player-Centered AI for Automatic Game Personalization: Open Problems
Conference proceeding   Open access

Player-Centered AI for Automatic Game Personalization: Open Problems

Jichen Zhu and Santiago Ontañón
International Conference on the Foundations of Digital Games, pp 1-8
15 Sep 2020
DOI: https://doi.org/10.1145/3402942.3402951
url
https://arxiv.org/pdf/2102.07548View
SubmittedarXiv.org - Non-exclusive license to distribute,  Open

Abstract

Applied computing Applied computing -- Computers in other domains Applied computing -- Computers in other domains -- Personal computers and PC applications Applied computing -- Computers in other domains -- Personal computers and PC applications -- Computer games Information systems Information systems -- Information systems applications Information systems -- Information systems applications -- Multimedia information systems Information systems -- Information systems applications -- Multimedia information systems -- Massively multiplayer online games Software and its engineering Software and its engineering -- Software organization and properties Software and its engineering -- Software organization and properties -- Contextual software domains Software and its engineering -- Software organization and properties -- Contextual software domains -- Virtual worlds software Software and its engineering -- Software organization and properties -- Contextual software domains -- Virtual worlds software -- Interactive games
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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10 citations in Scopus

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