School of Electronic Engineering and Computer Science

Magic driven visual hypothesis testing

Supervisor: Prof Shaogang Gong

Dynamic visual attention can be modelled computationally, but can it be used to predict the errors humans make in observing a sleight of hand magic trick? This project will allow a better understanding of the high level vs low level contributions in visual hypothesis formation through exploiting effects where the magician deliberately manipulates the cognitive context.