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Title: Collaborative narrative generation in persistent virtual environments
Author: Madden, Neil
ISNI:       0000 0004 2685 4119
Awarding Body: University of Nottingham
Current Institution: University of Nottingham
Date of Award: 2009
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This thesis describes a multi-agent approach to generating narrative based on the activities of participants in large-scale persistent virtual environments, such as massivelymultiplayer online role-playing games (MMORPGs). These environments provide diverse interactive experiences for large numbers of simultaneous participants. Involving such participants in an overarching narrative experience has presented challenges due to the difficulty of incorporating the individual actions of so many participants into a single coherent storyline. Various approaches have been adopted in an attempt to solve this problem, such as guiding players to follow pre-designed storylines, or giving them goals to achieve that advance the storyline, or by having developers (‘dungeon masters’) adapt the narrative to the real-time actions of players. However these solutions can be inflexible, and/or fail to take player interaction into account, or do so only at the collective level, for groups of players. This thesis describes a different approach, in which embodied witness-narrator agents observe participants’ actions in a persistent virtual environment and generate narrative from reports of those actions. The generated narrative may be published to external audiences, e.g., via community websites, Internet chatrooms, or SMS text messages, or fed back into the environment in real-time to embellish and enhance the ongoing experience with new narrative elements derived from participants’ own achievements. The design and implementation of this framework is described in detail, and compared to related work. Results of evaluating the framework, both technically, and through a live study, are presented and discussed.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: QA 75 Electronic computers. Computer science