StageSight

As both a dancer and an engineering student, I have often found a disconnect between the fluid creativity of choreography and the technical precision required to execute complex formations. Traditional methods of mapping transitions, such as static digital icons, fail to capture a dancer's path or the critical timing of the music. My motivation was to bridge this gap by creating StageSight, a dynamic collaborator that transforms choreography from a static plan into an interactive simulation. I wanted to focus on how a generative tool can help to visualize the connection between movement through space and musical timing. To do this, I focused on the technical challenge of placing dancers at coordinates between saved formations while simultaneously scanning for collision detection. This allows the user to see not just the start and end of a movement, but the moments in between where paths might intersect. Through the development of StageSight, I realized the integration of a slider for music and timestamped formations proved to be the most vital feature, as it allows for immediate feedback on how a transition feels relative to the music’s tempo. Ultimately, the project demonstrates that interactive coding can serve as a powerful lens for performance art, providing choreographers with a way to validate their vision before a single dancer steps onto the stage. StageSight successfully proves that when we visualize the travel paths of dancers, we move from simply placing people to truly choreographing the movement.