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Automated Planning and Player Modelling for Interactive Storytelling

Alejandro Ramirez Sanabria

出版	University of Alberta, 2013
URL	http://books.google.com.hk/books?id=kLlXAQAACAAJ&hl=&source=gbs_api

註釋

Interactive Storytelling (IS) acknowledges that people want to be participants in the unfolding of a story plot. Given the complex nature of IS, Artificial Intelligence (AI) methods can be called upon to improve and enhance interactive stories in video games. In the past decade, a number of experience management systems have been proposed but only a few have been evaluated; furthermore, none of the evaluated systems has offered both player modelling and a story generation module. In the present work, I propose PAST (Player-specific Automated Storytelling), a new experience management system that welds together two complementary approaches for increasing player agency: generative experience management and player modelling. I present a set of empirical evaluations involving 320 human participants in which my system is shown to have a positive effect on perceived player agency.