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Player Perceptibility of Goal-Driven Decision Making Techniques
By: Bennett Strickland
Supervisor: Jeffrey Wofford
Masters of Interactive Technology degree conferred
Thesis / Project completed: January 15, 2011

The player experience is at the heart of game development. This thesis seeks to gain insight into whether or not the effort put into advanced artificial intelligence techniques, namely Goal Oriented Action Planning, translates into a differentiable user experience. In a game created for this study, testers were asked to differentiate between NPCs that utilize different AI techniques. The results help us gain insight into how players perceive AI.

Download entire thesis (.pdf)