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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
  • Graduation date
    2013-11
  • 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.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Computing Science
  • Supervisor / co-supervisor and their department(s)
    • Bulitko, Vadim (Computing Science)
  • Examining committee members and their departments
    • Bowling, Michael (Computing Science)
    • Spetch, Marcia (Psychology)
    • Zhang, Hong (Computing Science)