The role of movement in social interactions
Rebecca is interested in how humans transmit emotionally-salient information through expressive whole-body movements. Her current projects explore how dancers change the way their bodies move to communicate different emotions to observers, and seeks to identify whether these emotional movements are perceived in the same way by dancer and non-dancer observers.
Henry’s research focuses on the application of deep neural networks to problems in human-robot interaction. His main work in this area concerns building AI platforms that can understand a person’s intentions from their low-level bodily kinematics: such as changes in trajectory, joint angles, or velocity. Our high-resolution motion capture system is perfect for this research as these changes are often very small and difficult to capture using other techniques.