Experience Management in Multi-player Games
This work addresses the problem of tailoring multi-player game experiences for groups, but it is incremental as it focuses on identifying challenges rather than proposing new solutions.
The paper identifies key challenges in extending experience management from single-player to multi-player games, aiming to adapt interactive experiences for groups and meet design goals, without presenting specific results or numbers.
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.