AGENTS '98 Proceedings of the second international conference on Autonomous agents
Guiding interactive drama
Reinforcement learning for declarative optimization-based drama management
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
U-director: a decision-theoretic narrative planning architecture for storytelling environments
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
A globally optimal algorithm for TTD-MDPs
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
An Oz-centric review of interactive drama and believable agents
Artificial intelligence today
Scribe: a tool for authoring event driven interactive drama
TIDSE'06 Proceedings of the Third international conference on Technologies for Interactive Digital Storytelling and Entertainment
"I want to slay that dragon!": influencing choice in interactive storytelling
ICIDS'10 Proceedings of the Third joint conference on Interactive digital storytelling
Persu: an architecture to apply persuasion in interactive storytelling
Proceedings of the 8th International Conference on Advances in Computer Entertainment Technology
A method for transferring probabilistic user models between environments
ICIDS'11 Proceedings of the 4th international conference on Interactive Digital Storytelling
ICIDS'11 Proceedings of the 4th international conference on Interactive Digital Storytelling
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In this paper we present a pilot study on the use of influence to guide player behavior in an interactive storytelling environment. We discuss the need for authoring support in drama management systems and present computational models of influence as a method to meet that need. To investigate some of the benefits of using influence, we implement an authoring tool and web-based mixed-media choose-your-own-adventure-style storytelling system, using it to conduct a pilot study. The pilot study is based on hand-authored static content, but the results indicate promise for generalizing to dynamic content. Further, we provide an analysis of the data that indicates the potential effectiveness of influence statements on affecting player decisions and comment on players' perceptions of self-agency with or without those statements.