Hosted by the School of Psychological Science
Abstract: Human interaction with the world is increasingly mediated by interfaces that control tools remotely: computer mice control cursors, joysticks control drones, and levers control robots. When using remote tools, the direct physical interaction we typically have with the world is broken. We move in a different workspace to the tool, we do not use our own limbs to interact with the relevant surroundings, and thus we cannot feel and experience the properties of the objects we interact with. Ultimately, the presence of the mediating interface that is inherent in remote tool use introduces complex relationships between the user and the tool. The implications of this for visuomotor learning and control remain poorly understood. In this talk, I will introduce a novel control system which seeks to understand what factors effect visuomotor learning rate in remote tool use.