My research primarily helps with the understanding human behaviour with technology. This can include theoretical work to establish fundamental principles of design through to larger scale naturalistic testing where controllability is challenging but the richness of the data is very high. I try to take a thorough approach to measuring performance and preference for different interactions and find that these two very different areas of science often conflict. I look at basic interaction technologies and how they function, the implications and characteristics of how the technology impacts the human and therefore how this translates to a very challenging multi-dimensional environment such as driving. I have a special interest in the cognitive aspects of interface systems, the transfer of information between the human and the machine and in particular Attention Management which is a topic of great importance that has emerged over the last 5-10 years. Attention management is how a driver copes with complexity whilst driving, how successful they are at shifting their attention between competing goals in the highly dynamic, safety critical vehicle environment. There is a lot to learn about how users shift attention, the processes behind what makes user shift attention and understand the vast variability that is evident.