Experience Management in Multi-player Games

July 04, 2019 Β· Declared Dead Β· πŸ› 2019 IEEE Conference on Games (CoG)

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Authors Jichen Zhu, Santiago OntaΓ±Γ³n arXiv ID 1907.02349 Category cs.HC: Human-Computer Interaction Cross-listed cs.AI Citations 14 Venue 2019 IEEE Conference on Games (CoG) Last Checked 4 months ago
Abstract
Experience Management studies AI systems that automatically adapt interactive experiences such as games to tailor to specific players and to fulfill design goals. Although it has been explored for several decades, existing work in experience management has mostly focused on single-player experiences. This paper is a first attempt at identifying the main challenges to expand EM to multi-player/multi-user games or experiences. We also make connections to related areas where solutions for similar problems have been proposed (especially group recommender systems) and discusses the potential impact and applications of multi-player EM.
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