Automated Planning and Player Modelling for Interactive Storytelling

• Author / Creator

  Ramirez Sanabria, Alejandro J

• 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.

• Subjects / Keywords

  • Video Games
  • Computer science
  • Player agency
  • Interactive storytelling
  • Artificial intelligence

• Graduation date

  Fall 2013

• Type of Item

  Thesis

• Degree

  Master of Science

• DOI

  https://doi.org/10.7939/R3C824R47

• License

  This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.