Abstract
In this dissertation, we present a framework that was inspired in the motion picture workflow with the objective of achieving illumination based representation of scene tension values. This framework was also developed with the goal of being applicable to most virtual storytelling worlds including multiplayer games. A system was created to implement the framework. The system has two intelligent agents that cooperate to read scene tension values and manipulate the lighting to express those values. The system was case studied by applying it to project FearNot! (a Virtual Learning Environment inhabited by autonomous agents) and was consequently evaluated with positive results. It was evaluated if the illumination variation was understood by observers as tension variation and if observers understood the story better with the use of our system.