Allison was chosen to be a participant for the 2022 Choreographic Coding Lab (CCL) at the A+E Lab in Chatham, UK. She primarily focused on collaborating with the other participants and prototyping a new project using virtual reality to compare real time motion capture data to already recorded motion capture footage. The purpose of this project is to see how motion capture (using a perception neuron suit) can act as a tool for preserving dance and training new dancers in a perticular style of movement. For the prototype of the project, Allison used motion capture footage of an Isadora Ducan dancer provided by Tove Grimstad Bang. Clemence Debaig acted as the live dancer, learning the movement and style through the VR app. 

The prototype project showed the pre-recorded motion capture footage and the livestream motion capture data overlayed. When there was a significant different between the position of the arms, legs, torso, or head of the two motion capture, the pre-recorded footage paused and a red mesh visualized the difference between the live dancer’s position and the pre-recoreded dancer’s position. The pre-recorded dancer would begin to move once the live dancer corrected. 

While there were many limitations of this prototype project, feedback indicated that while it was not very useful for first learning a choreography, it seemed to have potential for working on learning the details of a particular style and piece.