Experience Management in Multi-player Games
Jichen Zhu, Santiago Onta\~n\'on

TL;DR
This paper explores the challenges and potential solutions for extending Experience Management to multi-player games, highlighting its importance for personalized and adaptive multiplayer experiences.
Contribution
It identifies key challenges in applying Experience Management to multi-player settings and connects them to related fields like group recommender systems.
Findings
Highlights main challenges in multi-player experience management
Draws connections to group recommender system solutions
Discusses potential applications and impact
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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Taxonomy
TopicsArtificial Intelligence in Games · Educational Games and Gamification · Intelligent Tutoring Systems and Adaptive Learning
