Experience Management in Multi-player Games
July 04, 2019 Β· Declared Dead Β· π 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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